2025-12-04T08:55:43.7694639Z Current runner version: '2.330.0' 2025-12-04T08:55:43.7700531Z Runner name: 'i-021dbb4dc770d74ee' 2025-12-04T08:55:43.7701679Z Runner group name: 'Default' 2025-12-04T08:55:43.7702435Z Machine name: 'ip-10-0-53-84' 2025-12-04T08:55:43.7705346Z ##[group]GITHUB_TOKEN Permissions 2025-12-04T08:55:43.7707487Z Contents: read 2025-12-04T08:55:43.7707980Z Metadata: read 2025-12-04T08:55:43.7708537Z ##[endgroup] 2025-12-04T08:55:43.7710389Z Secret source: Actions 2025-12-04T08:55:43.7711132Z Prepare workflow directory 2025-12-04T08:55:43.8216326Z Prepare all required actions 2025-12-04T08:55:43.8249086Z Getting action download info 2025-12-04T08:55:44.1455473Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd) 2025-12-04T08:55:46.6771616Z Download action repository 'pytorch/pytorch@main' (SHA:eabb7ad2128580ef674446027b95bcf4e21e8df3) 2025-12-04T08:56:03.3148375Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-12-04T08:56:03.6767482Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-12-04T08:56:03.9882380Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-12-04T08:56:04.2024600Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T08:56:04.4354098Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T08:56:04.7284524Z Getting action download info 2025-12-04T08:56:04.8531396Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5) 2025-12-04T08:56:05.1296705Z Getting action download info 2025-12-04T08:56:05.2466066Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-12-04T08:56:05.4432536Z Getting action download info 2025-12-04T08:56:05.5842414Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-12-04T08:56:05.7791767Z Getting action download info 2025-12-04T08:56:05.9356672Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T08:56:05.9360126Z ##[group] Inputs 2025-12-04T08:56:05.9360431Z build-environment: linux-jammy-cuda12.8-py3.10-gcc11 2025-12-04T08:56:05.9367629Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "libtorch_agnostic_targetting", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "libtorch_agnostic_targetting", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T08:56:05.9375191Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:56:05.9375810Z sync-tag: 2025-12-04T08:56:05.9376472Z timeout-minutes: 360 2025-12-04T08:56:05.9376673Z use-gha: 2025-12-04T08:56:05.9376846Z dashboard-tag: 2025-12-04T08:56:05.9377273Z s3-bucket: gha-artifacts 2025-12-04T08:56:05.9377589Z aws-role-to-assume: 2025-12-04T08:56:05.9378265Z disable-monitor: false 2025-12-04T08:56:05.9378707Z monitor-log-interval: 5 2025-12-04T08:56:05.9379047Z monitor-data-collect-interval: 1 2025-12-04T08:56:05.9379321Z ##[endgroup] 2025-12-04T08:56:05.9379957Z Complete job name: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 3, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests) 2025-12-04T08:56:05.9973740Z A job started hook has been configured by the self-hosted runner administrator 2025-12-04T08:56:06.0067029Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-12-04T08:56:06.0077205Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:06.0077753Z ##[endgroup] 2025-12-04T08:56:07.3666764Z Runner Type: lf.linux.g6.4xlarge.experimental.nvidia.gpu 2025-12-04T08:56:07.3667267Z Instance Type: g6.4xlarge 2025-12-04T08:56:07.3667480Z AMI Name: unknown 2025-12-04T08:56:07.3699183Z AMI ID: ami-08982f1c5bf93d976 2025-12-04T08:56:12.0652777Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-12-04T08:56:12.0653123Z with: 2025-12-04T08:56:12.0653597Z github-secret: *** 2025-12-04T08:56:12.0654117Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-12-04T08:56:12.0654675Z activate-with-label: false 2025-12-04T08:56:12.0654891Z label: with-ssh 2025-12-04T08:56:12.0655074Z remove-existing-keys: true 2025-12-04T08:56:12.0655279Z fail-silently: true 2025-12-04T08:56:12.0655453Z env: 2025-12-04T08:56:12.0655602Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:12.0655798Z ##[endgroup] 2025-12-04T08:56:12.1698626Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-12-04T08:56:12.1699846Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-12-04T08:56:12.1828030Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-12-04T08:56:12.1828587Z with: 2025-12-04T08:56:12.1828754Z no-sudo: true 2025-12-04T08:56:12.1828925Z submodules: recursive 2025-12-04T08:56:12.1829124Z fetch-depth: 0 2025-12-04T08:56:12.1829305Z env: 2025-12-04T08:56:12.1829454Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:12.1829641Z ##[endgroup] 2025-12-04T08:56:12.1892482Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:56:12.1893177Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:56:12.1904407Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:12.1904696Z env: 2025-12-04T08:56:12.1904887Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:12.1905117Z ##[endgroup] 2025-12-04T08:56:12.1983573Z ##[group]Run # Use all available CPUs for fetching 2025-12-04T08:56:12.1983909Z # Use all available CPUs for fetching 2025-12-04T08:56:12.1984169Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:56:12.1984425Z git config --global fetch.parallel 0 2025-12-04T08:56:12.1984712Z git config --global submodule.fetchJobs 0 2025-12-04T08:56:12.1984960Z  2025-12-04T08:56:12.1985591Z # Clean workspace. The default checkout action should also do this, but 2025-12-04T08:56:12.1985967Z # do it here as well just in case 2025-12-04T08:56:12.1986205Z if [[ -d .git ]]; then 2025-12-04T08:56:12.1986422Z  if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:56:12.1986642Z  sudo git clean -ffdx 2025-12-04T08:56:12.1986844Z  else 2025-12-04T08:56:12.2006595Z  git clean -ffdx 2025-12-04T08:56:12.2006828Z  fi 2025-12-04T08:56:12.2006997Z fi 2025-12-04T08:56:12.2014167Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:56:12.2014471Z env: 2025-12-04T08:56:12.2014644Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:12.2014830Z NO_SUDO: true 2025-12-04T08:56:12.2015042Z ##[endgroup] 2025-12-04T08:56:12.2127642Z ##[group]Run actions/checkout@v4 2025-12-04T08:56:12.2127871Z with: 2025-12-04T08:56:12.2128062Z ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:56:12.2128304Z fetch-depth: 0 2025-12-04T08:56:12.2128475Z submodules: recursive 2025-12-04T08:56:12.2128665Z show-progress: false 2025-12-04T08:56:12.2128859Z repository: pytorch/pytorch 2025-12-04T08:56:12.2129184Z token: *** 2025-12-04T08:56:12.2129348Z ssh-strict: true 2025-12-04T08:56:12.2129524Z ssh-user: git 2025-12-04T08:56:12.2129701Z persist-credentials: true 2025-12-04T08:56:12.2129896Z clean: true 2025-12-04T08:56:12.2130078Z sparse-checkout-cone-mode: true 2025-12-04T08:56:12.2130290Z fetch-tags: false 2025-12-04T08:56:12.2130450Z lfs: false 2025-12-04T08:56:12.2130616Z set-safe-directory: true 2025-12-04T08:56:12.2130807Z env: 2025-12-04T08:56:12.2130963Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:56:12.2131159Z ##[endgroup] 2025-12-04T08:56:12.3127751Z Syncing repository: pytorch/pytorch 2025-12-04T08:56:12.3128891Z ##[group]Getting Git version info 2025-12-04T08:56:12.3129267Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:56:12.3129767Z [command]/usr/bin/git version 2025-12-04T08:56:12.3130002Z git version 2.50.1 2025-12-04T08:56:12.3149458Z ##[endgroup] 2025-12-04T08:56:12.3161287Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/12f441e9-2eec-4bb9-870c-cc7e51b7ad5b/.gitconfig' 2025-12-04T08:56:12.3181113Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/12f441e9-2eec-4bb9-870c-cc7e51b7ad5b' before making global git config changes 2025-12-04T08:56:12.3182469Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T08:56:12.3186957Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:56:12.3221546Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T08:56:12.3224504Z ##[group]Initializing the repository 2025-12-04T08:56:12.3228371Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T08:56:12.3266647Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-12-04T08:56:12.3267617Z hint: is subject to change. To configure the initial branch name to use in all 2025-12-04T08:56:12.3268416Z hint: of your new repositories, which will suppress this warning, call: 2025-12-04T08:56:12.3268989Z hint: 2025-12-04T08:56:12.3269353Z hint: git config --global init.defaultBranch 2025-12-04T08:56:12.3269746Z hint: 2025-12-04T08:56:12.3270009Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-12-04T08:56:12.3270433Z hint: 'development'. The just-created branch can be renamed via this command: 2025-12-04T08:56:12.3270738Z hint: 2025-12-04T08:56:12.3270923Z hint: git branch -m 2025-12-04T08:56:12.3271111Z hint: 2025-12-04T08:56:12.3271370Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-12-04T08:56:12.3271880Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-12-04T08:56:12.3276690Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-12-04T08:56:12.3305445Z ##[endgroup] 2025-12-04T08:56:12.3306075Z ##[group]Disabling automatic garbage collection 2025-12-04T08:56:12.3308539Z [command]/usr/bin/git config --local gc.auto 0 2025-12-04T08:56:12.3335397Z ##[endgroup] 2025-12-04T08:56:12.3335956Z ##[group]Setting up auth 2025-12-04T08:56:12.3340889Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T08:56:12.3367976Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-12-04T08:56:12.3695928Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T08:56:12.3721892Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-12-04T08:56:12.4035120Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir: 2025-12-04T08:56:12.4063281Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url 2025-12-04T08:56:12.4372934Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:56:12.4429737Z ##[endgroup] 2025-12-04T08:56:12.4430939Z ##[group]Fetching the repository 2025-12-04T08:56:12.4442504Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-12-04T08:56:57.9881105Z From https://github.com/pytorch/pytorch 2025-12-04T08:56:57.9881640Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-12-04T08:56:57.9882240Z * [new branch] 2.9.1 -> origin/2.9.1 2025-12-04T08:56:57.9882777Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-12-04T08:56:57.9884872Z * [new branch] Flamefire-patch-1 -> origin/Flamefire-patch-1 2025-12-04T08:56:57.9886264Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-12-04T08:56:57.9887962Z * [new branch] HOPrintFunc -> origin/HOPrintFunc 2025-12-04T08:56:57.9890822Z * [new branch] IvanKobzarev/stack/1 -> origin/IvanKobzarev/stack/1 2025-12-04T08:56:57.9893392Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-12-04T08:56:57.9894942Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-12-04T08:56:57.9896893Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-12-04T08:56:57.9898307Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-12-04T08:56:57.9900433Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-12-04T08:56:57.9901847Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-12-04T08:56:57.9905854Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-12-04T08:56:57.9906278Z * [new branch] VLA_exp -> origin/VLA_exp 2025-12-04T08:56:57.9907786Z * [new branch] activation_bench -> origin/activation_bench 2025-12-04T08:56:57.9910015Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-12-04T08:56:57.9912590Z * [new branch] adi/onednn_aarch64 -> origin/adi/onednn_aarch64 2025-12-04T08:56:57.9914424Z * [new branch] adi/test -> origin/adi/test 2025-12-04T08:56:57.9916076Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-12-04T08:56:57.9917795Z * [new branch] adi/test_m8g -> origin/adi/test_m8g 2025-12-04T08:56:57.9919437Z * [new branch] adi/test_onednn -> origin/adi/test_onednn 2025-12-04T08:56:57.9921212Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-12-04T08:56:57.9922842Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-12-04T08:56:57.9924452Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-12-04T08:56:57.9926631Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-12-04T08:56:57.9929588Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-12-04T08:56:57.9931366Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-12-04T08:56:57.9933386Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-12-04T08:56:57.9934989Z * [new branch] also-surround-shimh -> origin/also-surround-shimh 2025-12-04T08:56:57.9937371Z * [new branch] angelayi/aot_compile -> origin/angelayi/aot_compile 2025-12-04T08:56:57.9939261Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-12-04T08:56:57.9940911Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-12-04T08:56:57.9942625Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-12-04T08:56:57.9944202Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-12-04T08:56:57.9945921Z * [new branch] angelayi/inductor_const -> origin/angelayi/inductor_const 2025-12-04T08:56:57.9947517Z * [new branch] angelayi/lstm -> origin/angelayi/lstm 2025-12-04T08:56:57.9949632Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-12-04T08:56:57.9951713Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-12-04T08:56:57.9953441Z * [new branch] angelayi/side_eff -> 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zhxchen17/export/disable_side_effect_warn -> origin/zhxchen17/export/disable_side_effect_warn 2025-12-04T08:56:58.8849898Z * [new branch] zhxchen17/export/pytree_check -> origin/zhxchen17/export/pytree_check 2025-12-04T08:56:58.8851934Z * [new branch] zhxchen17/precompile/aoti -> origin/zhxchen17/precompile/aoti 2025-12-04T08:56:58.8853579Z * [new branch] zhxchen17/precompile/globals -> origin/zhxchen17/precompile/globals 2025-12-04T08:56:58.8855222Z * [new branch] zhxchen17/precompile/inductor_guards -> origin/zhxchen17/precompile/inductor_guards 2025-12-04T08:56:58.8857209Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-12-04T08:56:58.8859040Z * [new branch] zhxchen17/torch_export_api_update -> origin/zhxchen17/torch_export_api_update 2025-12-04T08:56:58.8861082Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-12-04T08:56:58.8863217Z * [new branch] zxiiro/build-times -> origin/zxiiro/build-times 2025-12-04T08:56:58.8864789Z * [new branch] zxiiro/c7i.2xlarge -> origin/zxiiro/c7i.2xlarge 2025-12-04T08:56:58.8866413Z * [new branch] zxiiro/c7i.2xlarge.h100 -> origin/zxiiro/c7i.2xlarge.h100 2025-12-04T08:56:58.8868001Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-12-04T08:56:58.8869531Z * [new branch] zxiiro/risc64 -> origin/zxiiro/risc64 2025-12-04T08:56:58.8871145Z * [new branch] zxiiro/test-multicloud-arc -> origin/zxiiro/test-multicloud-arc 2025-12-04T08:56:58.8872669Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-12-04T08:56:58.8873944Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-12-04T08:56:58.8875369Z * [new tag] ciflow/b200/115316 -> ciflow/b200/115316 2025-12-04T08:56:58.8876438Z * [new tag] ciflow/b200/160685 -> ciflow/b200/160685 2025-12-04T08:56:58.8877588Z * [new tag] ciflow/b200/161607 -> ciflow/b200/161607 2025-12-04T08:56:58.8878540Z * [new tag] ciflow/b200/161938 -> ciflow/b200/161938 2025-12-04T08:56:58.8879829Z * [new tag] ciflow/b200/167207 -> ciflow/b200/167207 2025-12-04T08:56:58.8880780Z * [new tag] ciflow/b200/167989 -> ciflow/b200/167989 2025-12-04T08:56:58.8882118Z * [new tag] ciflow/b200/168096 -> ciflow/b200/168096 2025-12-04T08:56:58.8883360Z * [new tag] ciflow/b200/168175 -> ciflow/b200/168175 2025-12-04T08:56:58.8884243Z * [new tag] ciflow/b200/168195 -> ciflow/b200/168195 2025-12-04T08:56:58.8885710Z * [new tag] ciflow/b200/169200 -> ciflow/b200/169200 2025-12-04T08:56:58.8886626Z * [new tag] ciflow/b200/169216 -> ciflow/b200/169216 2025-12-04T08:56:58.8888257Z * [new tag] ciflow/b200/169380 -> ciflow/b200/169380 2025-12-04T08:56:58.8889919Z * [new tag] ciflow/b200/169412 -> ciflow/b200/169412 2025-12-04T08:56:58.8891450Z * [new tag] ciflow/b200/169470 -> ciflow/b200/169470 2025-12-04T08:56:58.8892510Z * [new tag] ciflow/b200/169471 -> ciflow/b200/169471 2025-12-04T08:56:58.8893745Z * [new tag] ciflow/b200/169472 -> ciflow/b200/169472 2025-12-04T08:56:58.8895065Z * [new tag] ciflow/b200/169514 -> ciflow/b200/169514 2025-12-04T08:56:58.8896210Z * [new tag] ciflow/b200/169517 -> ciflow/b200/169517 2025-12-04T08:56:58.8897639Z * [new tag] ciflow/binaries/165922 -> ciflow/binaries/165922 2025-12-04T08:56:58.8898733Z * [new tag] ciflow/binaries/169510 -> ciflow/binaries/169510 2025-12-04T08:56:58.8900363Z * [new tag] ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994 2025-12-04T08:56:58.8901455Z * [new tag] ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829 2025-12-04T08:56:58.8902457Z * [new tag] ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972 2025-12-04T08:56:58.8903738Z * [new tag] ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981 2025-12-04T08:56:58.8904965Z * [new tag] ciflow/dynamo/167695 -> ciflow/dynamo/167695 2025-12-04T08:56:58.8906117Z * [new tag] ciflow/dynamo/168096 -> ciflow/dynamo/168096 2025-12-04T08:56:58.8907228Z * [new tag] ciflow/dynamo/169525 -> ciflow/dynamo/169525 2025-12-04T08:56:58.8908542Z * [new tag] ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938 2025-12-04T08:56:58.8909458Z * [new tag] ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940 2025-12-04T08:56:58.8910966Z * [new tag] ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923 2025-12-04T08:56:58.8912240Z * [new tag] ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552 2025-12-04T08:56:58.8913526Z * [new tag] ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129 2025-12-04T08:56:58.8914606Z * [new tag] ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917 2025-12-04T08:56:58.8915864Z * [new tag] ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156 2025-12-04T08:56:58.8916982Z * [new tag] ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200 2025-12-04T08:56:58.8917988Z * [new tag] ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216 2025-12-04T08:56:58.8919104Z * [new tag] ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338 2025-12-04T08:56:58.8920222Z * [new tag] ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355 2025-12-04T08:56:58.8921309Z * [new tag] ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543 2025-12-04T08:56:58.8922493Z * [new tag] ciflow/h100/115316 -> ciflow/h100/115316 2025-12-04T08:56:58.8923560Z * [new tag] ciflow/h100/160685 -> ciflow/h100/160685 2025-12-04T08:56:58.8924632Z * [new tag] ciflow/h100/160729 -> ciflow/h100/160729 2025-12-04T08:56:58.8925677Z * [new tag] ciflow/h100/161607 -> ciflow/h100/161607 2025-12-04T08:56:58.8926720Z * [new tag] ciflow/h100/161938 -> ciflow/h100/161938 2025-12-04T08:56:58.8927772Z * [new tag] ciflow/h100/167207 -> ciflow/h100/167207 2025-12-04T08:56:58.8928976Z * [new tag] ciflow/h100/167989 -> ciflow/h100/167989 2025-12-04T08:56:58.8929867Z * [new tag] ciflow/h100/168096 -> ciflow/h100/168096 2025-12-04T08:56:58.8931031Z * [new tag] ciflow/h100/168175 -> ciflow/h100/168175 2025-12-04T08:56:58.8932006Z * [new tag] ciflow/h100/168195 -> ciflow/h100/168195 2025-12-04T08:56:58.8933118Z * [new tag] ciflow/h100/168980 -> ciflow/h100/168980 2025-12-04T08:56:58.8934464Z * [new tag] ciflow/h100/169200 -> ciflow/h100/169200 2025-12-04T08:56:58.8935879Z * [new tag] ciflow/h100/169216 -> ciflow/h100/169216 2025-12-04T08:56:58.8937193Z * [new tag] ciflow/h100/169380 -> ciflow/h100/169380 2025-12-04T08:56:58.8938413Z * [new tag] ciflow/h100/169412 -> ciflow/h100/169412 2025-12-04T08:56:58.8939651Z * [new tag] ciflow/h100/169470 -> ciflow/h100/169470 2025-12-04T08:56:58.8940795Z * [new tag] ciflow/h100/169471 -> ciflow/h100/169471 2025-12-04T08:56:58.8941862Z * [new tag] ciflow/h100/169472 -> ciflow/h100/169472 2025-12-04T08:56:58.8943016Z * [new tag] ciflow/h100/169514 -> ciflow/h100/169514 2025-12-04T08:56:58.8944317Z * [new tag] ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096 2025-12-04T08:56:58.8945916Z * [new tag] ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096 2025-12-04T08:56:58.8947167Z * [new tag] ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165 2025-12-04T08:56:58.8948319Z * [new tag] ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096 2025-12-04T08:56:58.8950097Z * [new tag] ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096 2025-12-04T08:56:58.8951751Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073 2025-12-04T08:56:58.8952715Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096 2025-12-04T08:56:58.8954029Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024 2025-12-04T08:56:58.8955297Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024 2025-12-04T08:56:58.8956527Z * [new tag] ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096 2025-12-04T08:56:58.8957761Z * [new tag] ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096 2025-12-04T08:56:58.8958890Z * [new tag] ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024 2025-12-04T08:56:58.8960062Z * [new tag] ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425 2025-12-04T08:56:58.8961429Z * [new tag] ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545 2025-12-04T08:56:58.8962608Z * [new tag] ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997 2025-12-04T08:56:58.8963718Z * [new tag] ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096 2025-12-04T08:56:58.8964841Z * [new tag] ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063 2025-12-04T08:56:58.8965860Z * [new tag] ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425 2025-12-04T08:56:58.8967147Z * [new tag] ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545 2025-12-04T08:56:58.8968391Z * [new tag] ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096 2025-12-04T08:56:58.8969225Z * [new tag] ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063 2025-12-04T08:56:58.8970472Z * [new tag] ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425 2025-12-04T08:56:58.8971916Z * [new tag] ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052 2025-12-04T08:56:58.8973012Z * [new tag] ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971 2025-12-04T08:56:58.8974284Z * [new tag] ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096 2025-12-04T08:56:58.8975518Z * [new tag] ciflow/inductor/144542 -> ciflow/inductor/144542 2025-12-04T08:56:58.8976604Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-12-04T08:56:58.8977660Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-12-04T08:56:58.8978953Z * [new tag] ciflow/inductor/148294 -> ciflow/inductor/148294 2025-12-04T08:56:58.8979959Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-12-04T08:56:58.8981056Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-12-04T08:56:58.8982122Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-12-04T08:56:58.8983507Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-12-04T08:56:58.8984640Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-12-04T08:56:58.8985831Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-12-04T08:56:58.8986612Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-12-04T08:56:58.8988078Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-12-04T08:56:58.8989533Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-12-04T08:56:58.8990946Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-12-04T08:56:58.8992077Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-12-04T08:56:58.8993187Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-12-04T08:56:58.8994295Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-12-04T08:56:58.8995448Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-12-04T08:56:58.8996560Z * [new tag] ciflow/inductor/162795 -> ciflow/inductor/162795 2025-12-04T08:56:58.8997820Z * [new tag] ciflow/inductor/163245 -> ciflow/inductor/163245 2025-12-04T08:56:58.8998980Z * [new tag] ciflow/inductor/163335 -> ciflow/inductor/163335 2025-12-04T08:56:58.9000146Z * [new tag] ciflow/inductor/163503 -> ciflow/inductor/163503 2025-12-04T08:56:58.9001254Z * [new tag] ciflow/inductor/163942 -> ciflow/inductor/163942 2025-12-04T08:56:58.9002504Z * [new tag] ciflow/inductor/165270 -> ciflow/inductor/165270 2025-12-04T08:56:58.9003642Z * [new tag] ciflow/inductor/165274 -> ciflow/inductor/165274 2025-12-04T08:56:58.9004809Z * [new tag] ciflow/inductor/165322 -> ciflow/inductor/165322 2025-12-04T08:56:58.9005991Z * [new tag] ciflow/inductor/165597 -> ciflow/inductor/165597 2025-12-04T08:56:58.9007177Z * [new tag] ciflow/inductor/166063 -> ciflow/inductor/166063 2025-12-04T08:56:58.9008302Z * [new tag] ciflow/inductor/166075 -> ciflow/inductor/166075 2025-12-04T08:56:58.9009470Z * [new tag] ciflow/inductor/166165 -> ciflow/inductor/166165 2025-12-04T08:56:58.9010832Z * [new tag] ciflow/inductor/166254 -> ciflow/inductor/166254 2025-12-04T08:56:58.9011841Z * [new tag] ciflow/inductor/166483 -> ciflow/inductor/166483 2025-12-04T08:56:58.9013285Z * [new tag] ciflow/inductor/166494 -> ciflow/inductor/166494 2025-12-04T08:56:58.9014415Z * [new tag] ciflow/inductor/166545 -> ciflow/inductor/166545 2025-12-04T08:56:58.9015524Z * [new tag] ciflow/inductor/166788 -> ciflow/inductor/166788 2025-12-04T08:56:58.9016697Z * [new tag] ciflow/inductor/166846 -> ciflow/inductor/166846 2025-12-04T08:56:58.9017910Z * [new tag] ciflow/inductor/167300 -> ciflow/inductor/167300 2025-12-04T08:56:58.9019166Z * [new tag] ciflow/inductor/167407 -> ciflow/inductor/167407 2025-12-04T08:56:58.9020393Z * [new tag] ciflow/inductor/167536 -> ciflow/inductor/167536 2025-12-04T08:56:58.9021555Z * [new tag] ciflow/inductor/167552 -> ciflow/inductor/167552 2025-12-04T08:56:58.9022687Z * [new tag] ciflow/inductor/167555 -> ciflow/inductor/167555 2025-12-04T08:56:58.9023893Z * [new tag] ciflow/inductor/167583 -> ciflow/inductor/167583 2025-12-04T08:56:58.9025029Z * [new tag] ciflow/inductor/167599 -> ciflow/inductor/167599 2025-12-04T08:56:58.9026190Z * [new tag] ciflow/inductor/167647 -> ciflow/inductor/167647 2025-12-04T08:56:58.9027320Z * [new tag] ciflow/inductor/167677 -> ciflow/inductor/167677 2025-12-04T08:56:58.9028440Z * [new tag] ciflow/inductor/167680 -> ciflow/inductor/167680 2025-12-04T08:56:58.9029549Z * [new tag] ciflow/inductor/167695 -> ciflow/inductor/167695 2025-12-04T08:56:58.9030665Z * [new tag] ciflow/inductor/167742 -> ciflow/inductor/167742 2025-12-04T08:56:58.9031821Z * [new tag] ciflow/inductor/167768 -> ciflow/inductor/167768 2025-12-04T08:56:58.9033108Z * [new tag] ciflow/inductor/167773 -> ciflow/inductor/167773 2025-12-04T08:56:58.9034269Z * [new tag] ciflow/inductor/167781 -> ciflow/inductor/167781 2025-12-04T08:56:58.9035455Z * [new tag] ciflow/inductor/167880 -> ciflow/inductor/167880 2025-12-04T08:56:58.9036606Z * [new tag] ciflow/inductor/167887 -> ciflow/inductor/167887 2025-12-04T08:56:58.9037731Z * [new tag] ciflow/inductor/167972 -> ciflow/inductor/167972 2025-12-04T08:56:58.9038833Z * [new tag] ciflow/inductor/167989 -> ciflow/inductor/167989 2025-12-04T08:56:58.9039957Z * [new tag] ciflow/inductor/168002 -> ciflow/inductor/168002 2025-12-04T08:56:58.9041128Z * [new tag] ciflow/inductor/168050 -> ciflow/inductor/168050 2025-12-04T08:56:58.9042281Z * [new tag] ciflow/inductor/168051 -> ciflow/inductor/168051 2025-12-04T08:56:58.9043458Z * [new tag] ciflow/inductor/168052 -> ciflow/inductor/168052 2025-12-04T08:56:58.9044600Z * [new tag] ciflow/inductor/168073 -> ciflow/inductor/168073 2025-12-04T08:56:58.9045683Z * [new tag] ciflow/inductor/168096 -> ciflow/inductor/168096 2025-12-04T08:56:58.9046830Z * [new tag] ciflow/inductor/168114 -> ciflow/inductor/168114 2025-12-04T08:56:58.9047933Z * [new tag] ciflow/inductor/168115 -> ciflow/inductor/168115 2025-12-04T08:56:58.9049065Z * [new tag] ciflow/inductor/168127 -> ciflow/inductor/168127 2025-12-04T08:56:58.9050178Z * [new tag] ciflow/inductor/168129 -> ciflow/inductor/168129 2025-12-04T08:56:58.9051315Z * [new tag] ciflow/inductor/168157 -> ciflow/inductor/168157 2025-12-04T08:56:58.9052415Z * [new tag] ciflow/inductor/168175 -> ciflow/inductor/168175 2025-12-04T08:56:58.9053735Z * [new tag] ciflow/inductor/168185 -> ciflow/inductor/168185 2025-12-04T08:56:58.9054610Z * [new tag] ciflow/inductor/168195 -> ciflow/inductor/168195 2025-12-04T08:56:58.9055862Z * [new tag] ciflow/inductor/168209 -> ciflow/inductor/168209 2025-12-04T08:56:58.9057007Z * [new tag] ciflow/inductor/168266 -> ciflow/inductor/168266 2025-12-04T08:56:58.9058662Z * [new tag] ciflow/inductor/168316 -> ciflow/inductor/168316 2025-12-04T08:56:58.9060031Z * [new tag] ciflow/inductor/168326 -> ciflow/inductor/168326 2025-12-04T08:56:58.9061140Z * [new tag] ciflow/inductor/168368 -> ciflow/inductor/168368 2025-12-04T08:56:58.9062259Z * [new tag] ciflow/inductor/168894 -> ciflow/inductor/168894 2025-12-04T08:56:58.9063394Z * [new tag] ciflow/inductor/168934 -> ciflow/inductor/168934 2025-12-04T08:56:58.9064556Z * [new tag] ciflow/inductor/168939 -> ciflow/inductor/168939 2025-12-04T08:56:58.9065655Z * [new tag] ciflow/inductor/168946 -> ciflow/inductor/168946 2025-12-04T08:56:58.9066775Z * [new tag] ciflow/inductor/168950 -> ciflow/inductor/168950 2025-12-04T08:56:58.9067899Z * [new tag] ciflow/inductor/168951 -> ciflow/inductor/168951 2025-12-04T08:56:58.9069056Z * [new tag] ciflow/inductor/168952 -> ciflow/inductor/168952 2025-12-04T08:56:58.9070167Z * [new tag] ciflow/inductor/168955 -> ciflow/inductor/168955 2025-12-04T08:56:58.9071305Z * [new tag] ciflow/inductor/168971 -> ciflow/inductor/168971 2025-12-04T08:56:58.9072418Z * [new tag] ciflow/inductor/168979 -> ciflow/inductor/168979 2025-12-04T08:56:58.9073592Z * [new tag] ciflow/inductor/168980 -> ciflow/inductor/168980 2025-12-04T08:56:58.9074792Z * [new tag] ciflow/inductor/168983 -> ciflow/inductor/168983 2025-12-04T08:56:58.9075939Z * [new tag] ciflow/inductor/169006 -> ciflow/inductor/169006 2025-12-04T08:56:58.9077077Z * [new tag] ciflow/inductor/169023 -> ciflow/inductor/169023 2025-12-04T08:56:58.9078229Z * [new tag] ciflow/inductor/169024 -> ciflow/inductor/169024 2025-12-04T08:56:58.9079372Z * [new tag] ciflow/inductor/169025 -> ciflow/inductor/169025 2025-12-04T08:56:58.9080572Z * [new tag] ciflow/inductor/169066 -> ciflow/inductor/169066 2025-12-04T08:56:58.9081725Z * [new tag] ciflow/inductor/169091 -> ciflow/inductor/169091 2025-12-04T08:56:58.9082922Z * [new tag] ciflow/inductor/169102 -> ciflow/inductor/169102 2025-12-04T08:56:58.9084052Z * [new tag] ciflow/inductor/169103 -> ciflow/inductor/169103 2025-12-04T08:56:58.9085178Z * [new tag] ciflow/inductor/169121 -> ciflow/inductor/169121 2025-12-04T08:56:58.9086323Z * [new tag] ciflow/inductor/169134 -> ciflow/inductor/169134 2025-12-04T08:56:58.9087471Z * [new tag] ciflow/inductor/169135 -> ciflow/inductor/169135 2025-12-04T08:56:58.9088596Z * [new tag] ciflow/inductor/169141 -> ciflow/inductor/169141 2025-12-04T08:56:58.9089719Z * [new tag] ciflow/inductor/169151 -> ciflow/inductor/169151 2025-12-04T08:56:58.9090934Z * [new tag] ciflow/inductor/169161 -> ciflow/inductor/169161 2025-12-04T08:56:58.9092121Z * [new tag] ciflow/inductor/169167 -> ciflow/inductor/169167 2025-12-04T08:56:58.9093393Z * [new tag] ciflow/inductor/169177 -> ciflow/inductor/169177 2025-12-04T08:56:58.9094635Z * [new tag] ciflow/inductor/169185 -> ciflow/inductor/169185 2025-12-04T08:56:58.9095793Z * [new tag] ciflow/inductor/169196 -> ciflow/inductor/169196 2025-12-04T08:56:58.9097000Z * [new tag] ciflow/inductor/169200 -> ciflow/inductor/169200 2025-12-04T08:56:58.9097995Z * [new tag] ciflow/inductor/169204 -> ciflow/inductor/169204 2025-12-04T08:56:58.9099272Z * [new tag] ciflow/inductor/169216 -> ciflow/inductor/169216 2025-12-04T08:56:58.9100428Z * [new tag] ciflow/inductor/169219 -> ciflow/inductor/169219 2025-12-04T08:56:58.9101569Z * [new tag] ciflow/inductor/169220 -> ciflow/inductor/169220 2025-12-04T08:56:58.9102760Z * [new tag] ciflow/inductor/169230 -> ciflow/inductor/169230 2025-12-04T08:56:58.9103928Z * [new tag] ciflow/inductor/169242 -> ciflow/inductor/169242 2025-12-04T08:56:58.9105069Z * [new tag] ciflow/inductor/169245 -> ciflow/inductor/169245 2025-12-04T08:56:58.9106339Z * [new tag] ciflow/inductor/169260 -> ciflow/inductor/169260 2025-12-04T08:56:58.9107503Z * [new tag] ciflow/inductor/169282 -> ciflow/inductor/169282 2025-12-04T08:56:58.9108612Z * [new tag] ciflow/inductor/169286 -> ciflow/inductor/169286 2025-12-04T08:56:58.9109742Z * [new tag] ciflow/inductor/169299 -> ciflow/inductor/169299 2025-12-04T08:56:58.9110975Z * [new tag] ciflow/inductor/169304 -> ciflow/inductor/169304 2025-12-04T08:56:58.9112692Z * [new tag] ciflow/inductor/169305 -> ciflow/inductor/169305 2025-12-04T08:56:58.9113893Z * [new tag] ciflow/inductor/169308 -> ciflow/inductor/169308 2025-12-04T08:56:58.9115044Z * [new tag] ciflow/inductor/169319 -> ciflow/inductor/169319 2025-12-04T08:56:58.9116172Z * [new tag] ciflow/inductor/169326 -> ciflow/inductor/169326 2025-12-04T08:56:58.9117296Z * [new tag] ciflow/inductor/169332 -> ciflow/inductor/169332 2025-12-04T08:56:58.9118498Z * [new tag] ciflow/inductor/169333 -> ciflow/inductor/169333 2025-12-04T08:56:58.9119855Z * [new tag] ciflow/inductor/169336 -> ciflow/inductor/169336 2025-12-04T08:56:58.9121026Z * [new tag] ciflow/inductor/169340 -> ciflow/inductor/169340 2025-12-04T08:56:58.9122142Z * [new tag] ciflow/inductor/169341 -> ciflow/inductor/169341 2025-12-04T08:56:58.9123322Z * [new tag] ciflow/inductor/169343 -> ciflow/inductor/169343 2025-12-04T08:56:58.9124490Z * [new tag] ciflow/inductor/169346 -> ciflow/inductor/169346 2025-12-04T08:56:58.9125706Z * [new tag] ciflow/inductor/169348 -> ciflow/inductor/169348 2025-12-04T08:56:58.9126982Z * [new tag] ciflow/inductor/169350 -> ciflow/inductor/169350 2025-12-04T08:56:58.9128123Z * [new tag] ciflow/inductor/169355 -> ciflow/inductor/169355 2025-12-04T08:56:58.9129292Z * [new tag] ciflow/inductor/169370 -> ciflow/inductor/169370 2025-12-04T08:56:58.9130648Z * [new tag] ciflow/inductor/169375 -> ciflow/inductor/169375 2025-12-04T08:56:58.9131842Z * [new tag] ciflow/inductor/169389 -> ciflow/inductor/169389 2025-12-04T08:56:58.9132990Z * [new tag] ciflow/inductor/169391 -> ciflow/inductor/169391 2025-12-04T08:56:58.9134524Z * [new tag] ciflow/inductor/169393 -> ciflow/inductor/169393 2025-12-04T08:56:58.9135694Z * [new tag] ciflow/inductor/169399 -> ciflow/inductor/169399 2025-12-04T08:56:58.9136952Z * [new tag] ciflow/inductor/169400 -> ciflow/inductor/169400 2025-12-04T08:56:58.9138170Z * [new tag] ciflow/inductor/169415 -> ciflow/inductor/169415 2025-12-04T08:56:58.9139403Z * [new tag] ciflow/inductor/169417 -> ciflow/inductor/169417 2025-12-04T08:56:58.9140695Z * [new tag] ciflow/inductor/169418 -> ciflow/inductor/169418 2025-12-04T08:56:58.9141817Z * [new tag] ciflow/inductor/169430 -> ciflow/inductor/169430 2025-12-04T08:56:58.9142969Z * [new tag] ciflow/inductor/169432 -> ciflow/inductor/169432 2025-12-04T08:56:58.9144159Z * [new tag] ciflow/inductor/169436 -> ciflow/inductor/169436 2025-12-04T08:56:58.9145365Z * [new tag] ciflow/inductor/169437 -> ciflow/inductor/169437 2025-12-04T08:56:58.9146536Z * [new tag] ciflow/inductor/169438 -> ciflow/inductor/169438 2025-12-04T08:56:58.9147680Z * [new tag] ciflow/inductor/169441 -> ciflow/inductor/169441 2025-12-04T08:56:58.9148837Z * [new tag] ciflow/inductor/169446 -> ciflow/inductor/169446 2025-12-04T08:56:58.9150078Z * [new tag] ciflow/inductor/169447 -> ciflow/inductor/169447 2025-12-04T08:56:58.9151246Z * [new tag] ciflow/inductor/169452 -> ciflow/inductor/169452 2025-12-04T08:56:58.9152486Z * [new tag] ciflow/inductor/169455 -> ciflow/inductor/169455 2025-12-04T08:56:58.9153687Z * [new tag] ciflow/inductor/169459 -> ciflow/inductor/169459 2025-12-04T08:56:58.9154892Z * [new tag] ciflow/inductor/169463 -> ciflow/inductor/169463 2025-12-04T08:56:58.9156154Z * [new tag] ciflow/inductor/169476 -> ciflow/inductor/169476 2025-12-04T08:56:58.9157391Z * [new tag] ciflow/inductor/169485 -> ciflow/inductor/169485 2025-12-04T08:56:58.9158588Z * [new tag] ciflow/inductor/169493 -> ciflow/inductor/169493 2025-12-04T08:56:58.9159672Z * [new tag] ciflow/inductor/169496 -> ciflow/inductor/169496 2025-12-04T08:56:58.9160816Z * [new tag] ciflow/inductor/169497 -> ciflow/inductor/169497 2025-12-04T08:56:58.9161940Z * [new tag] ciflow/inductor/169503 -> ciflow/inductor/169503 2025-12-04T08:56:58.9163090Z * [new tag] ciflow/inductor/169504 -> ciflow/inductor/169504 2025-12-04T08:56:58.9164357Z * [new tag] ciflow/inductor/169505 -> ciflow/inductor/169505 2025-12-04T08:56:58.9165842Z * [new tag] ciflow/inductor/169508 -> ciflow/inductor/169508 2025-12-04T08:56:58.9167039Z * [new tag] ciflow/inductor/169509 -> ciflow/inductor/169509 2025-12-04T08:56:58.9168207Z * [new tag] ciflow/inductor/169513 -> ciflow/inductor/169513 2025-12-04T08:56:58.9169395Z * [new tag] ciflow/inductor/169514 -> ciflow/inductor/169514 2025-12-04T08:56:58.9170635Z * [new tag] ciflow/inductor/169515 -> ciflow/inductor/169515 2025-12-04T08:56:58.9171806Z * [new tag] ciflow/inductor/169517 -> ciflow/inductor/169517 2025-12-04T08:56:58.9172951Z * [new tag] ciflow/inductor/169519 -> ciflow/inductor/169519 2025-12-04T08:56:58.9174093Z * [new tag] ciflow/inductor/169520 -> ciflow/inductor/169520 2025-12-04T08:56:58.9175223Z * [new tag] ciflow/inductor/169521 -> ciflow/inductor/169521 2025-12-04T08:56:58.9176349Z * [new tag] ciflow/inductor/169524 -> ciflow/inductor/169524 2025-12-04T08:56:58.9177481Z * [new tag] ciflow/inductor/169527 -> ciflow/inductor/169527 2025-12-04T08:56:58.9178734Z * [new tag] ciflow/inductor/169528 -> ciflow/inductor/169528 2025-12-04T08:56:58.9180058Z * [new tag] ciflow/inductor/169532 -> ciflow/inductor/169532 2025-12-04T08:56:58.9181249Z * [new tag] ciflow/inductor/169535 -> ciflow/inductor/169535 2025-12-04T08:56:58.9182341Z * [new tag] ciflow/inductor/169536 -> ciflow/inductor/169536 2025-12-04T08:56:58.9183511Z * [new tag] ciflow/inductor/169547 -> ciflow/inductor/169547 2025-12-04T08:56:58.9184753Z * [new tag] ciflow/inductor/169548 -> ciflow/inductor/169548 2025-12-04T08:56:58.9185896Z * [new tag] ciflow/inductor/169549 -> ciflow/inductor/169549 2025-12-04T08:56:58.9186966Z * [new tag] ciflow/inductor/169551 -> ciflow/inductor/169551 2025-12-04T08:56:58.9188058Z * [new tag] ciflow/inductor/169552 -> ciflow/inductor/169552 2025-12-04T08:56:58.9189182Z * [new tag] ciflow/inductor/169553 -> ciflow/inductor/169553 2025-12-04T08:56:58.9190521Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-12-04T08:56:58.9191793Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-12-04T08:56:58.9193036Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-12-04T08:56:58.9194459Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-12-04T08:56:58.9195625Z * [new tag] ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075 2025-12-04T08:56:58.9196529Z * [new tag] ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876 2025-12-04T08:56:58.9197687Z * [new tag] ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981 2025-12-04T08:56:58.9198910Z * [new tag] ciflow/mps/166254 -> ciflow/mps/166254 2025-12-04T08:56:58.9200093Z * [new tag] ciflow/mps/169017 -> ciflow/mps/169017 2025-12-04T08:56:58.9201175Z * [new tag] ciflow/mps/169372 -> ciflow/mps/169372 2025-12-04T08:56:58.9202229Z * [new tag] ciflow/mps/169478 -> ciflow/mps/169478 2025-12-04T08:56:58.9203536Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-12-04T08:56:58.9204677Z * [new tag] ciflow/op-benchmark/166075 -> ciflow/op-benchmark/166075 2025-12-04T08:56:58.9205617Z * [new tag] ciflow/op-benchmark/169544 -> ciflow/op-benchmark/169544 2025-12-04T08:56:58.9206978Z * [new tag] ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997 2025-12-04T08:56:58.9208266Z * [new tag] ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517 2025-12-04T08:56:58.9209402Z * [new tag] ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063 2025-12-04T08:56:58.9210300Z * [new tag] ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425 2025-12-04T08:56:58.9211656Z * [new tag] ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517 2025-12-04T08:56:58.9214412Z * [new tag] ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063 2025-12-04T08:56:58.9215561Z * [new tag] ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425 2025-12-04T08:56:58.9216999Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-12-04T08:56:58.9218201Z * [new tag] ciflow/periodic/167207 -> ciflow/periodic/167207 2025-12-04T08:56:58.9219350Z * [new tag] ciflow/periodic/167978 -> ciflow/periodic/167978 2025-12-04T08:56:58.9220444Z * [new tag] ciflow/periodic/168096 -> ciflow/periodic/168096 2025-12-04T08:56:58.9221511Z * [new tag] ciflow/periodic/169286 -> ciflow/periodic/169286 2025-12-04T08:56:58.9222721Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-12-04T08:56:58.9223957Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-12-04T08:56:58.9225165Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-12-04T08:56:58.9226396Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-12-04T08:56:58.9228378Z * [new tag] ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:56:58.9229708Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-12-04T08:56:58.9231258Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-12-04T08:56:58.9232542Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-12-04T08:56:58.9233793Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-12-04T08:56:58.9235099Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-12-04T08:56:58.9236568Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-12-04T08:56:58.9237981Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-12-04T08:56:58.9239266Z * [new tag] ciflow/pull/167207 -> ciflow/pull/167207 2025-12-04T08:56:58.9240762Z * [new tag] ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207 2025-12-04T08:56:58.9241996Z * [new tag] ciflow/rocm-mi200/165545 -> ciflow/rocm-mi200/165545 2025-12-04T08:56:58.9243080Z * [new tag] ciflow/rocm-mi200/165997 -> ciflow/rocm-mi200/165997 2025-12-04T08:56:58.9244143Z * [new tag] ciflow/rocm-mi200/168096 -> ciflow/rocm-mi200/168096 2025-12-04T08:56:58.9245318Z * [new tag] ciflow/rocm-mi200/168275 -> ciflow/rocm-mi200/168275 2025-12-04T08:56:58.9246384Z * [new tag] ciflow/rocm-mi200/169063 -> ciflow/rocm-mi200/169063 2025-12-04T08:56:58.9248035Z * [new tag] ciflow/rocm-mi200/169356 -> ciflow/rocm-mi200/169356 2025-12-04T08:56:58.9249162Z * [new tag] ciflow/rocm-mi200/169425 -> ciflow/rocm-mi200/169425 2025-12-04T08:56:58.9250419Z * [new tag] ciflow/rocm-mi300/165545 -> ciflow/rocm-mi300/165545 2025-12-04T08:56:58.9251754Z * [new tag] ciflow/rocm-mi300/167157 -> ciflow/rocm-mi300/167157 2025-12-04T08:56:58.9252848Z * [new tag] ciflow/rocm-mi300/168096 -> ciflow/rocm-mi300/168096 2025-12-04T08:56:58.9253910Z * [new tag] ciflow/rocm-mi300/169063 -> ciflow/rocm-mi300/169063 2025-12-04T08:56:58.9255004Z * [new tag] ciflow/rocm-mi300/169425 -> ciflow/rocm-mi300/169425 2025-12-04T08:56:58.9256219Z * [new tag] ciflow/rocm-mi355/167157 -> ciflow/rocm-mi355/167157 2025-12-04T08:56:58.9257295Z * [new tag] ciflow/rocm-mi355/168275 -> ciflow/rocm-mi355/168275 2025-12-04T08:56:58.9258433Z * [new tag] ciflow/rocm-mi355/169425 -> ciflow/rocm-mi355/169425 2025-12-04T08:56:58.9259887Z * [new tag] ciflow/rocm-navi31/168275 -> ciflow/rocm-navi31/168275 2025-12-04T08:56:58.9260980Z * [new tag] ciflow/rocm-navi31/169425 -> ciflow/rocm-navi31/169425 2025-12-04T08:56:58.9262204Z * [new tag] ciflow/rocm/115316 -> ciflow/rocm/115316 2025-12-04T08:56:58.9263302Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-12-04T08:56:58.9264381Z * [new tag] ciflow/rocm/160685 -> ciflow/rocm/160685 2025-12-04T08:56:58.9265338Z * [new tag] ciflow/rocm/161607 -> ciflow/rocm/161607 2025-12-04T08:56:58.9266399Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-12-04T08:56:58.9267455Z * [new tag] ciflow/rocm/165997 -> ciflow/rocm/165997 2025-12-04T08:56:58.9268552Z * [new tag] ciflow/rocm/166165 -> ciflow/rocm/166165 2025-12-04T08:56:58.9269506Z * [new tag] ciflow/rocm/166517 -> ciflow/rocm/166517 2025-12-04T08:56:58.9270627Z * [new tag] ciflow/rocm/167207 -> ciflow/rocm/167207 2025-12-04T08:56:58.9271756Z * [new tag] ciflow/rocm/167536 -> ciflow/rocm/167536 2025-12-04T08:56:58.9272675Z * [new tag] ciflow/rocm/167781 -> ciflow/rocm/167781 2025-12-04T08:56:58.9274057Z * [new tag] ciflow/rocm/167989 -> ciflow/rocm/167989 2025-12-04T08:56:58.9275591Z * [new tag] ciflow/rocm/168073 -> ciflow/rocm/168073 2025-12-04T08:56:58.9276897Z * [new tag] ciflow/rocm/168195 -> ciflow/rocm/168195 2025-12-04T08:56:58.9278097Z * [new tag] ciflow/rocm/168939 -> ciflow/rocm/168939 2025-12-04T08:56:58.9279193Z * [new tag] ciflow/rocm/168971 -> ciflow/rocm/168971 2025-12-04T08:56:58.9280301Z * [new tag] ciflow/rocm/169024 -> ciflow/rocm/169024 2025-12-04T08:56:58.9281424Z * [new tag] ciflow/rocm/169200 -> ciflow/rocm/169200 2025-12-04T08:56:58.9282582Z * [new tag] ciflow/rocm/169216 -> ciflow/rocm/169216 2025-12-04T08:56:58.9283667Z * [new tag] ciflow/rocm/169312 -> ciflow/rocm/169312 2025-12-04T08:56:58.9284794Z * [new tag] ciflow/rocm/169380 -> ciflow/rocm/169380 2025-12-04T08:56:58.9285907Z * [new tag] ciflow/rocm/169427 -> ciflow/rocm/169427 2025-12-04T08:56:58.9287153Z * [new tag] ciflow/rocm/169455 -> ciflow/rocm/169455 2025-12-04T08:56:58.9288239Z * [new tag] ciflow/rocm/169470 -> ciflow/rocm/169470 2025-12-04T08:56:58.9289314Z * [new tag] ciflow/rocm/169471 -> ciflow/rocm/169471 2025-12-04T08:56:58.9290521Z * [new tag] ciflow/rocm/169472 -> ciflow/rocm/169472 2025-12-04T08:56:58.9291691Z * [new tag] ciflow/rocm/169514 -> ciflow/rocm/169514 2025-12-04T08:56:58.9293125Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-12-04T08:56:58.9294417Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-12-04T08:56:58.9295964Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-12-04T08:56:58.9296814Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-12-04T08:56:58.9297928Z * [new tag] ciflow/slow/167207 -> ciflow/slow/167207 2025-12-04T08:56:58.9299180Z * [new tag] ciflow/slow/168050 -> ciflow/slow/168050 2025-12-04T08:56:58.9300419Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-12-04T08:56:58.9301651Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-12-04T08:56:58.9303101Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-12-04T08:56:58.9304725Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-12-04T08:56:58.9306210Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-12-04T08:56:58.9307512Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-12-04T08:56:58.9308727Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-12-04T08:56:58.9310006Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-12-04T08:56:58.9311648Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-12-04T08:56:58.9312604Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-12-04T08:56:58.9314136Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-12-04T08:56:58.9315393Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-12-04T08:56:58.9316860Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-12-04T08:56:58.9317887Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-12-04T08:56:58.9319621Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-12-04T08:56:58.9320583Z * [new tag] ciflow/torchbench/168175 -> ciflow/torchbench/168175 2025-12-04T08:56:58.9322069Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-12-04T08:56:58.9323004Z * [new tag] ciflow/trunk/157149 -> ciflow/trunk/157149 2025-12-04T08:56:58.9324139Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-12-04T08:56:58.9325131Z * [new tag] ciflow/trunk/159718 -> ciflow/trunk/159718 2025-12-04T08:56:58.9326191Z * [new tag] ciflow/trunk/160685 -> ciflow/trunk/160685 2025-12-04T08:56:58.9327339Z * [new tag] ciflow/trunk/160729 -> ciflow/trunk/160729 2025-12-04T08:56:58.9328276Z * [new tag] ciflow/trunk/162275 -> ciflow/trunk/162275 2025-12-04T08:56:58.9329399Z * [new tag] ciflow/trunk/162795 -> ciflow/trunk/162795 2025-12-04T08:56:58.9330410Z * [new tag] ciflow/trunk/163245 -> ciflow/trunk/163245 2025-12-04T08:56:58.9331647Z * [new tag] ciflow/trunk/163942 -> ciflow/trunk/163942 2025-12-04T08:56:58.9332556Z * [new tag] ciflow/trunk/165274 -> ciflow/trunk/165274 2025-12-04T08:56:58.9334164Z * [new tag] ciflow/trunk/165483 -> ciflow/trunk/165483 2025-12-04T08:56:58.9335670Z * [new tag] ciflow/trunk/165728 -> ciflow/trunk/165728 2025-12-04T08:56:58.9337043Z * [new tag] ciflow/trunk/165922 -> ciflow/trunk/165922 2025-12-04T08:56:58.9338061Z * [new tag] ciflow/trunk/166075 -> ciflow/trunk/166075 2025-12-04T08:56:58.9339460Z * [new tag] ciflow/trunk/166165 -> ciflow/trunk/166165 2025-12-04T08:56:58.9340410Z * [new tag] ciflow/trunk/166829 -> ciflow/trunk/166829 2025-12-04T08:56:58.9341821Z * [new tag] ciflow/trunk/166843 -> ciflow/trunk/166843 2025-12-04T08:56:58.9342750Z * [new tag] ciflow/trunk/166876 -> ciflow/trunk/166876 2025-12-04T08:56:58.9344036Z * [new tag] ciflow/trunk/167207 -> ciflow/trunk/167207 2025-12-04T08:56:58.9345016Z * [new tag] ciflow/trunk/167536 -> ciflow/trunk/167536 2025-12-04T08:56:58.9346243Z * [new tag] ciflow/trunk/167552 -> ciflow/trunk/167552 2025-12-04T08:56:58.9347242Z * [new tag] ciflow/trunk/167555 -> ciflow/trunk/167555 2025-12-04T08:56:58.9348493Z * [new tag] ciflow/trunk/167599 -> ciflow/trunk/167599 2025-12-04T08:56:58.9349507Z * [new tag] ciflow/trunk/167659 -> ciflow/trunk/167659 2025-12-04T08:56:58.9350908Z * [new tag] ciflow/trunk/167672 -> ciflow/trunk/167672 2025-12-04T08:56:58.9351890Z * [new tag] ciflow/trunk/167742 -> ciflow/trunk/167742 2025-12-04T08:56:58.9353240Z * [new tag] ciflow/trunk/167781 -> ciflow/trunk/167781 2025-12-04T08:56:58.9354505Z * [new tag] ciflow/trunk/167837 -> ciflow/trunk/167837 2025-12-04T08:56:58.9355511Z * [new tag] ciflow/trunk/167887 -> ciflow/trunk/167887 2025-12-04T08:56:58.9356758Z * [new tag] ciflow/trunk/167978 -> ciflow/trunk/167978 2025-12-04T08:56:58.9357758Z * [new tag] ciflow/trunk/168050 -> ciflow/trunk/168050 2025-12-04T08:56:58.9359021Z * [new tag] ciflow/trunk/168051 -> ciflow/trunk/168051 2025-12-04T08:56:58.9360140Z * [new tag] ciflow/trunk/168096 -> ciflow/trunk/168096 2025-12-04T08:56:58.9361188Z * [new tag] ciflow/trunk/168127 -> ciflow/trunk/168127 2025-12-04T08:56:58.9362443Z * [new tag] ciflow/trunk/168157 -> ciflow/trunk/168157 2025-12-04T08:56:58.9363713Z * [new tag] ciflow/trunk/168175 -> ciflow/trunk/168175 2025-12-04T08:56:58.9364570Z * [new tag] ciflow/trunk/168209 -> ciflow/trunk/168209 2025-12-04T08:56:58.9365960Z * [new tag] ciflow/trunk/168213 -> ciflow/trunk/168213 2025-12-04T08:56:58.9367210Z * [new tag] ciflow/trunk/168226 -> ciflow/trunk/168226 2025-12-04T08:56:58.9368239Z * [new tag] ciflow/trunk/168262 -> ciflow/trunk/168262 2025-12-04T08:56:58.9369578Z * [new tag] ciflow/trunk/168275 -> ciflow/trunk/168275 2025-12-04T08:56:58.9370721Z * [new tag] ciflow/trunk/168328 -> ciflow/trunk/168328 2025-12-04T08:56:58.9371864Z * [new tag] ciflow/trunk/168368 -> ciflow/trunk/168368 2025-12-04T08:56:58.9373031Z * [new tag] ciflow/trunk/168917 -> ciflow/trunk/168917 2025-12-04T08:56:58.9374025Z * [new tag] ciflow/trunk/168933 -> ciflow/trunk/168933 2025-12-04T08:56:58.9375417Z * [new tag] ciflow/trunk/168941 -> ciflow/trunk/168941 2025-12-04T08:56:58.9376400Z * [new tag] ciflow/trunk/168955 -> ciflow/trunk/168955 2025-12-04T08:56:58.9377760Z * [new tag] ciflow/trunk/168980 -> ciflow/trunk/168980 2025-12-04T08:56:58.9379191Z * [new tag] ciflow/trunk/169004 -> ciflow/trunk/169004 2025-12-04T08:56:58.9380151Z * [new tag] ciflow/trunk/169006 -> ciflow/trunk/169006 2025-12-04T08:56:58.9381416Z * [new tag] ciflow/trunk/169023 -> ciflow/trunk/169023 2025-12-04T08:56:58.9382423Z * [new tag] ciflow/trunk/169025 -> ciflow/trunk/169025 2025-12-04T08:56:58.9383587Z * [new tag] ciflow/trunk/169048 -> ciflow/trunk/169048 2025-12-04T08:56:58.9384741Z * [new tag] ciflow/trunk/169066 -> ciflow/trunk/169066 2025-12-04T08:56:58.9385791Z * [new tag] ciflow/trunk/169091 -> ciflow/trunk/169091 2025-12-04T08:56:58.9387499Z * [new tag] ciflow/trunk/169102 -> ciflow/trunk/169102 2025-12-04T08:56:58.9388489Z * [new tag] ciflow/trunk/169103 -> ciflow/trunk/169103 2025-12-04T08:56:58.9389900Z * [new tag] ciflow/trunk/169125 -> ciflow/trunk/169125 2025-12-04T08:56:58.9391059Z * [new tag] ciflow/trunk/169139 -> ciflow/trunk/169139 2025-12-04T08:56:58.9392492Z * [new tag] ciflow/trunk/169148 -> ciflow/trunk/169148 2025-12-04T08:56:58.9393433Z * [new tag] ciflow/trunk/169151 -> ciflow/trunk/169151 2025-12-04T08:56:58.9394725Z * [new tag] ciflow/trunk/169156 -> ciflow/trunk/169156 2025-12-04T08:56:58.9395890Z * [new tag] ciflow/trunk/169176 -> ciflow/trunk/169176 2025-12-04T08:56:58.9397195Z * [new tag] ciflow/trunk/169204 -> ciflow/trunk/169204 2025-12-04T08:56:58.9398106Z * [new tag] ciflow/trunk/169207 -> ciflow/trunk/169207 2025-12-04T08:56:58.9399391Z * [new tag] ciflow/trunk/169211 -> ciflow/trunk/169211 2025-12-04T08:56:58.9400642Z * [new tag] ciflow/trunk/169229 -> ciflow/trunk/169229 2025-12-04T08:56:58.9402037Z * [new tag] ciflow/trunk/169231 -> ciflow/trunk/169231 2025-12-04T08:56:58.9402967Z * [new tag] ciflow/trunk/169260 -> ciflow/trunk/169260 2025-12-04T08:56:58.9404503Z * [new tag] ciflow/trunk/169271 -> ciflow/trunk/169271 2025-12-04T08:56:58.9405755Z * [new tag] ciflow/trunk/169280 -> ciflow/trunk/169280 2025-12-04T08:56:58.9406771Z * [new tag] ciflow/trunk/169281 -> ciflow/trunk/169281 2025-12-04T08:56:58.9408096Z * [new tag] ciflow/trunk/169286 -> ciflow/trunk/169286 2025-12-04T08:56:58.9409258Z * [new tag] ciflow/trunk/169293 -> ciflow/trunk/169293 2025-12-04T08:56:58.9410350Z * [new tag] ciflow/trunk/169296 -> ciflow/trunk/169296 2025-12-04T08:56:58.9411652Z * [new tag] ciflow/trunk/169304 -> ciflow/trunk/169304 2025-12-04T08:56:58.9412596Z * [new tag] ciflow/trunk/169305 -> ciflow/trunk/169305 2025-12-04T08:56:58.9414075Z * [new tag] ciflow/trunk/169312 -> ciflow/trunk/169312 2025-12-04T08:56:58.9415435Z * [new tag] ciflow/trunk/169328 -> ciflow/trunk/169328 2025-12-04T08:56:58.9416736Z * [new tag] ciflow/trunk/169343 -> ciflow/trunk/169343 2025-12-04T08:56:58.9417673Z * [new tag] ciflow/trunk/169355 -> ciflow/trunk/169355 2025-12-04T08:56:58.9419052Z * [new tag] ciflow/trunk/169370 -> ciflow/trunk/169370 2025-12-04T08:56:58.9420428Z * [new tag] ciflow/trunk/169379 -> ciflow/trunk/169379 2025-12-04T08:56:58.9421355Z * [new tag] ciflow/trunk/169380 -> ciflow/trunk/169380 2025-12-04T08:56:58.9422617Z * [new tag] ciflow/trunk/169385 -> ciflow/trunk/169385 2025-12-04T08:56:58.9423627Z * [new tag] ciflow/trunk/169387 -> ciflow/trunk/169387 2025-12-04T08:56:58.9425047Z * [new tag] ciflow/trunk/169410 -> ciflow/trunk/169410 2025-12-04T08:56:58.9426042Z * [new tag] ciflow/trunk/169412 -> ciflow/trunk/169412 2025-12-04T08:56:58.9427273Z * [new tag] ciflow/trunk/169418 -> ciflow/trunk/169418 2025-12-04T08:56:58.9428282Z * [new tag] ciflow/trunk/169423 -> ciflow/trunk/169423 2025-12-04T08:56:58.9429579Z * [new tag] ciflow/trunk/169427 -> ciflow/trunk/169427 2025-12-04T08:56:58.9430568Z * [new tag] ciflow/trunk/169430 -> ciflow/trunk/169430 2025-12-04T08:56:58.9431866Z * [new tag] ciflow/trunk/169437 -> ciflow/trunk/169437 2025-12-04T08:56:58.9432834Z * [new tag] ciflow/trunk/169442 -> ciflow/trunk/169442 2025-12-04T08:56:58.9434138Z * [new tag] ciflow/trunk/169452 -> ciflow/trunk/169452 2025-12-04T08:56:58.9435107Z * [new tag] ciflow/trunk/169454 -> ciflow/trunk/169454 2025-12-04T08:56:58.9436381Z * [new tag] ciflow/trunk/169459 -> ciflow/trunk/169459 2025-12-04T08:56:58.9437688Z * [new tag] ciflow/trunk/169474 -> ciflow/trunk/169474 2025-12-04T08:56:58.9438728Z * [new tag] ciflow/trunk/169475 -> ciflow/trunk/169475 2025-12-04T08:56:58.9439977Z * [new tag] ciflow/trunk/169476 -> ciflow/trunk/169476 2025-12-04T08:56:58.9441214Z * [new tag] ciflow/trunk/169487 -> ciflow/trunk/169487 2025-12-04T08:56:58.9442205Z * [new tag] ciflow/trunk/169497 -> ciflow/trunk/169497 2025-12-04T08:56:58.9443582Z * [new tag] ciflow/trunk/169503 -> ciflow/trunk/169503 2025-12-04T08:56:58.9444575Z * [new tag] ciflow/trunk/169505 -> ciflow/trunk/169505 2025-12-04T08:56:58.9445935Z * [new tag] ciflow/trunk/169507 -> ciflow/trunk/169507 2025-12-04T08:56:58.9446883Z * [new tag] ciflow/trunk/169514 -> ciflow/trunk/169514 2025-12-04T08:56:58.9448224Z * [new tag] ciflow/trunk/169517 -> ciflow/trunk/169517 2025-12-04T08:56:58.9449313Z * [new tag] ciflow/trunk/169519 -> ciflow/trunk/169519 2025-12-04T08:56:58.9450307Z * [new tag] ciflow/trunk/169528 -> ciflow/trunk/169528 2025-12-04T08:56:58.9451590Z * [new tag] ciflow/trunk/169541 -> ciflow/trunk/169541 2025-12-04T08:56:58.9452877Z * [new tag] ciflow/trunk/169555 -> ciflow/trunk/169555 2025-12-04T08:56:58.9454378Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-12-04T08:56:58.9455729Z * [new tag] ciflow/vllm/165270 -> ciflow/vllm/165270 2025-12-04T08:56:58.9456636Z * [new tag] ciflow/vllm/165274 -> ciflow/vllm/165274 2025-12-04T08:56:58.9457834Z * [new tag] ciflow/vllm/166494 -> ciflow/vllm/166494 2025-12-04T08:56:58.9458885Z * [new tag] ciflow/vllm/169219 -> ciflow/vllm/169219 2025-12-04T08:56:58.9460108Z * [new tag] ciflow/vllm/169220 -> ciflow/vllm/169220 2025-12-04T08:56:58.9461513Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-12-04T08:56:58.9463024Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-12-04T08:56:58.9463901Z * [new tag] ciflow/xpu/161940 -> ciflow/xpu/161940 2025-12-04T08:56:58.9465233Z * [new tag] ciflow/xpu/163251 -> ciflow/xpu/163251 2025-12-04T08:56:58.9466162Z * [new tag] ciflow/xpu/166829 -> ciflow/xpu/166829 2025-12-04T08:56:58.9467323Z * [new tag] ciflow/xpu/166843 -> ciflow/xpu/166843 2025-12-04T08:56:58.9468241Z * [new tag] ciflow/xpu/167972 -> ciflow/xpu/167972 2025-12-04T08:56:58.9469406Z * [new tag] ciflow/xpu/167981 -> ciflow/xpu/167981 2025-12-04T08:56:58.9470391Z * [new tag] ciflow/xpu/168213 -> ciflow/xpu/168213 2025-12-04T08:56:58.9471646Z * [new tag] ciflow/xpu/168262 -> ciflow/xpu/168262 2025-12-04T08:56:58.9472503Z * [new tag] ciflow/xpu/168328 -> ciflow/xpu/168328 2025-12-04T08:56:58.9473992Z * [new tag] ciflow/xpu/168950 -> ciflow/xpu/168950 2025-12-04T08:56:58.9475528Z * [new tag] ciflow/xpu/169039 -> ciflow/xpu/169039 2025-12-04T08:56:58.9476966Z * [new tag] ciflow/xpu/169200 -> ciflow/xpu/169200 2025-12-04T08:56:58.9477904Z * [new tag] ciflow/xpu/169203 -> ciflow/xpu/169203 2025-12-04T08:56:58.9479169Z * [new tag] ciflow/xpu/169229 -> ciflow/xpu/169229 2025-12-04T08:56:58.9480414Z * [new tag] ciflow/xpu/169230 -> ciflow/xpu/169230 2025-12-04T08:56:58.9481388Z * [new tag] ciflow/xpu/169231 -> ciflow/xpu/169231 2025-12-04T08:56:58.9482777Z * [new tag] ciflow/xpu/169241 -> ciflow/xpu/169241 2025-12-04T08:56:58.9483707Z * [new tag] ciflow/xpu/169280 -> ciflow/xpu/169280 2025-12-04T08:56:58.9485000Z * [new tag] ciflow/xpu/169296 -> ciflow/xpu/169296 2025-12-04T08:56:58.9486323Z * [new tag] ciflow/xpu/169353 -> ciflow/xpu/169353 2025-12-04T08:56:58.9487244Z * [new tag] ciflow/xpu/169410 -> ciflow/xpu/169410 2025-12-04T08:56:58.9488507Z * [new tag] ciflow/xpu/169442 -> ciflow/xpu/169442 2025-12-04T08:56:58.9489636Z * [new tag] ciflow/xpu/169555 -> ciflow/xpu/169555 2025-12-04T08:56:58.9490887Z * [new tag] cslpull75 -> cslpull75 2025-12-04T08:56:58.9491817Z * [new tag] cslpull76 -> cslpull76 2025-12-04T08:56:58.9493054Z * [new tag] cslpull77 -> cslpull77 2025-12-04T08:56:58.9494191Z * [new tag] cslpull78 -> cslpull78 2025-12-04T08:56:58.9495757Z * [new tag] cslpull79 -> cslpull79 2025-12-04T08:56:58.9496993Z * [new tag] cslpull80 -> cslpull80 2025-12-04T08:56:58.9498321Z * [new tag] cslpull81 -> cslpull81 2025-12-04T08:56:58.9499425Z * [new tag] cslpull82 -> cslpull82 2025-12-04T08:56:58.9500751Z * [new tag] cslpull83 -> cslpull83 2025-12-04T08:56:58.9501739Z * [new tag] cslpull84 -> cslpull84 2025-12-04T08:56:58.9503112Z * [new tag] cslpull85 -> cslpull85 2025-12-04T08:56:58.9504286Z * [new tag] cslpull86 -> cslpull86 2025-12-04T08:56:58.9505567Z * [new tag] cslpull87 -> cslpull87 2025-12-04T08:56:58.9506547Z * [new tag] cslpull88 -> cslpull88 2025-12-04T08:56:58.9507956Z * [new tag] cslpull89 -> cslpull89 2025-12-04T08:56:58.9508869Z * [new tag] cslpull90 -> cslpull90 2025-12-04T08:56:58.9510481Z * [new tag] cslpull91 -> cslpull91 2025-12-04T08:56:58.9511603Z * [new tag] cslpull92 -> cslpull92 2025-12-04T08:56:58.9513128Z * [new tag] flight_5 -> flight_5 2025-12-04T08:56:58.9514477Z * [new tag] flight_5.1 -> flight_5.1 2025-12-04T08:56:58.9515811Z * [new tag] flight_5.2 -> flight_5.2 2025-12-04T08:56:58.9516946Z * [new tag] flight_5.3 -> flight_5.3 2025-12-04T08:56:58.9518242Z * [new tag] forpull1 -> forpull1 2025-12-04T08:56:58.9519701Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-12-04T08:56:58.9520979Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-12-04T08:56:58.9521989Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-12-04T08:56:58.9523377Z * [new tag] nightly-binary -> nightly-binary 2025-12-04T08:56:58.9524721Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-12-04T08:56:58.9526074Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-12-04T08:56:58.9527608Z * [new tag] trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 2025-12-04T08:56:58.9528633Z * [new tag] trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e 2025-12-04T08:56:58.9530361Z * [new tag] trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 2025-12-04T08:56:58.9531822Z * [new tag] trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654 2025-12-04T08:56:58.9532920Z * [new tag] trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb 2025-12-04T08:56:58.9534205Z * [new tag] trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b 2025-12-04T08:56:58.9535516Z * [new tag] trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 2025-12-04T08:56:58.9536644Z * [new tag] trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75 2025-12-04T08:56:58.9538340Z * [new tag] trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 2025-12-04T08:56:58.9539658Z * [new tag] trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 2025-12-04T08:56:58.9541106Z * [new tag] trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688 2025-12-04T08:56:58.9542449Z * [new tag] trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10 2025-12-04T08:56:58.9544953Z * [new tag] trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec 2025-12-04T08:56:58.9545305Z * [new tag] trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f 2025-12-04T08:56:58.9546351Z * [new tag] trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 2025-12-04T08:56:58.9547267Z * [new tag] trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 2025-12-04T08:56:58.9548687Z * [new tag] trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 2025-12-04T08:56:58.9549755Z * [new tag] trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 2025-12-04T08:56:58.9551068Z * [new tag] trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e 2025-12-04T08:56:58.9552245Z * [new tag] trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520 2025-12-04T08:56:58.9553637Z * [new tag] trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 2025-12-04T08:56:58.9554827Z * [new tag] trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c 2025-12-04T08:56:58.9555962Z * [new tag] trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d 2025-12-04T08:56:58.9557341Z * [new tag] trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 2025-12-04T08:56:58.9558681Z * [new tag] trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de 2025-12-04T08:56:58.9559841Z * [new tag] trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 2025-12-04T08:56:58.9561153Z * [new tag] trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 2025-12-04T08:56:58.9562591Z * [new tag] trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f 2025-12-04T08:56:58.9563765Z * [new tag] trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9 2025-12-04T08:56:58.9564884Z * [new tag] trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87 2025-12-04T08:56:58.9566281Z * [new tag] trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc 2025-12-04T08:56:58.9567515Z * [new tag] trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25 2025-12-04T08:56:58.9568802Z * [new tag] trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 2025-12-04T08:56:58.9569956Z * [new tag] trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf 2025-12-04T08:56:58.9571079Z * [new tag] trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd 2025-12-04T08:56:58.9572504Z * [new tag] trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 2025-12-04T08:56:58.9573715Z * [new tag] trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 2025-12-04T08:56:58.9574937Z * [new tag] trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35 2025-12-04T08:56:58.9576434Z * [new tag] trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec 2025-12-04T08:56:58.9577599Z * [new tag] trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 2025-12-04T08:56:58.9579015Z * [new tag] trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1 2025-12-04T08:56:58.9580189Z * [new tag] trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 2025-12-04T08:56:58.9582085Z * [new tag] trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 2025-12-04T08:56:58.9583195Z * [new tag] trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 2025-12-04T08:56:58.9584507Z * [new tag] trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf 2025-12-04T08:56:58.9585924Z * [new tag] trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee 2025-12-04T08:56:58.9587023Z * [new tag] trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 2025-12-04T08:56:58.9588116Z * [new tag] trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 2025-12-04T08:56:58.9589541Z * [new tag] trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae 2025-12-04T08:56:58.9590866Z * [new tag] trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f 2025-12-04T08:56:58.9592204Z * [new tag] trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c 2025-12-04T08:56:58.9593339Z * [new tag] trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247 2025-12-04T08:56:58.9594708Z * [new tag] trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c 2025-12-04T08:56:58.9595806Z * [new tag] trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a 2025-12-04T08:56:58.9596941Z * [new tag] trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686 2025-12-04T08:56:58.9598533Z * [new tag] trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 2025-12-04T08:56:58.9599613Z * [new tag] trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af 2025-12-04T08:56:58.9601105Z * [new tag] trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 2025-12-04T08:56:58.9602211Z * [new tag] trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873 2025-12-04T08:56:58.9603604Z * [new tag] trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 2025-12-04T08:56:58.9604587Z * [new tag] trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f 2025-12-04T08:56:58.9606163Z * [new tag] trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa 2025-12-04T08:56:58.9607228Z * [new tag] trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c 2025-12-04T08:56:58.9609169Z * [new tag] trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a 2025-12-04T08:56:58.9610250Z * [new tag] trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d 2025-12-04T08:56:58.9611730Z * [new tag] trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 2025-12-04T08:56:58.9613516Z * [new tag] trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 2025-12-04T08:56:58.9615803Z * [new tag] trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a 2025-12-04T08:56:58.9616982Z * [new tag] trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 2025-12-04T08:56:58.9618538Z * [new tag] trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 2025-12-04T08:56:58.9619838Z * [new tag] trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 2025-12-04T08:56:58.9621242Z * [new tag] trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96 2025-12-04T08:56:58.9622202Z * [new tag] trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc 2025-12-04T08:56:58.9623649Z * [new tag] trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 2025-12-04T08:56:58.9624724Z * [new tag] trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd 2025-12-04T08:56:58.9625841Z * [new tag] trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 2025-12-04T08:56:58.9627442Z * [new tag] trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 2025-12-04T08:56:58.9628530Z * [new tag] trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c 2025-12-04T08:56:58.9629980Z * [new tag] trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b 2025-12-04T08:56:58.9630925Z * [new tag] trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c 2025-12-04T08:56:58.9632378Z * [new tag] trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 2025-12-04T08:56:58.9633493Z * [new tag] trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 2025-12-04T08:56:58.9635013Z * [new tag] trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef 2025-12-04T08:56:58.9636085Z * [new tag] trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719 2025-12-04T08:56:58.9637487Z * [new tag] trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b 2025-12-04T08:56:58.9638571Z * [new tag] trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a 2025-12-04T08:56:58.9640041Z * [new tag] trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206 2025-12-04T08:56:58.9641197Z * [new tag] trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 2025-12-04T08:56:58.9642697Z * [new tag] trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 2025-12-04T08:56:58.9643947Z * [new tag] trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d 2025-12-04T08:56:58.9645119Z * [new tag] trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b 2025-12-04T08:56:58.9646442Z * [new tag] trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 2025-12-04T08:56:58.9647618Z * [new tag] trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 2025-12-04T08:56:58.9649073Z * [new tag] trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec 2025-12-04T08:56:58.9650219Z * [new tag] trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 2025-12-04T08:56:58.9651635Z * [new tag] trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d 2025-12-04T08:56:58.9652758Z * [new tag] trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a 2025-12-04T08:56:58.9654199Z * [new tag] trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e 2025-12-04T08:56:58.9655349Z * [new tag] trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 2025-12-04T08:56:58.9656821Z * [new tag] trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485 2025-12-04T08:56:58.9658015Z * [new tag] trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734 2025-12-04T08:56:58.9659504Z * [new tag] trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f 2025-12-04T08:56:58.9660642Z * [new tag] trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 2025-12-04T08:56:58.9662096Z * [new tag] trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03 2025-12-04T08:56:58.9663235Z * [new tag] trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 2025-12-04T08:56:58.9664679Z * [new tag] trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 2025-12-04T08:56:58.9666201Z * [new tag] trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 2025-12-04T08:56:58.9667434Z * [new tag] trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca 2025-12-04T08:56:58.9668700Z * [new tag] trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b 2025-12-04T08:56:58.9669968Z * [new tag] trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609 2025-12-04T08:56:58.9671427Z * [new tag] trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b 2025-12-04T08:56:58.9672554Z * [new tag] trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T08:56:58.9673762Z * [new tag] trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 2025-12-04T08:56:58.9675043Z * [new tag] trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed 2025-12-04T08:56:58.9676298Z * [new tag] trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 2025-12-04T08:56:58.9677683Z * [new tag] trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e 2025-12-04T08:56:58.9678641Z * [new tag] trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead 2025-12-04T08:56:58.9680025Z * [new tag] trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718 2025-12-04T08:56:58.9681469Z * [new tag] trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0 2025-12-04T08:56:58.9682947Z * [new tag] trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75 2025-12-04T08:56:58.9684310Z * [new tag] trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece 2025-12-04T08:56:58.9685506Z * [new tag] trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6 2025-12-04T08:56:58.9686930Z * [new tag] trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 2025-12-04T08:56:58.9688171Z * [new tag] trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c 2025-12-04T08:56:58.9689451Z * [new tag] trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 2025-12-04T08:56:58.9690746Z * [new tag] trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 2025-12-04T08:56:58.9692090Z * [new tag] trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca 2025-12-04T08:56:58.9693386Z * [new tag] trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38 2025-12-04T08:56:58.9694485Z * [new tag] trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 2025-12-04T08:56:58.9695701Z * [new tag] trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c 2025-12-04T08:56:58.9696972Z * [new tag] trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 2025-12-04T08:56:58.9698393Z * [new tag] trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 2025-12-04T08:56:58.9699791Z * [new tag] trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa 2025-12-04T08:56:58.9701114Z * [new tag] trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d 2025-12-04T08:56:58.9702397Z * [new tag] trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 2025-12-04T08:56:58.9703672Z * [new tag] trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 2025-12-04T08:56:58.9704970Z * [new tag] trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d 2025-12-04T08:56:58.9706281Z * [new tag] trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a 2025-12-04T08:56:58.9707587Z * [new tag] trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 2025-12-04T08:56:58.9708903Z * [new tag] trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 2025-12-04T08:56:58.9710174Z * [new tag] trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa 2025-12-04T08:56:58.9711496Z * [new tag] trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d 2025-12-04T08:56:58.9713332Z * [new tag] trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c 2025-12-04T08:56:58.9714411Z * [new tag] trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 2025-12-04T08:56:58.9715756Z * [new tag] trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c 2025-12-04T08:56:58.9716978Z * [new tag] trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45 2025-12-04T08:56:58.9718269Z * [new tag] trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 2025-12-04T08:56:58.9719555Z * [new tag] trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e 2025-12-04T08:56:58.9720852Z * [new tag] trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e 2025-12-04T08:56:58.9722069Z * [new tag] trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e 2025-12-04T08:56:58.9723271Z * [new tag] trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 2025-12-04T08:56:58.9724588Z * [new tag] trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 2025-12-04T08:56:58.9726076Z * [new tag] trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 2025-12-04T08:56:58.9727370Z * [new tag] trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99 2025-12-04T08:56:58.9728713Z * [new tag] trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 2025-12-04T08:56:58.9730021Z * [new tag] trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 2025-12-04T08:56:58.9731365Z * [new tag] trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a 2025-12-04T08:56:58.9732689Z * [new tag] trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 2025-12-04T08:56:58.9734005Z * [new tag] trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 2025-12-04T08:56:58.9735337Z * [new tag] trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b 2025-12-04T08:56:58.9736679Z * [new tag] trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e 2025-12-04T08:56:58.9738025Z * [new tag] trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf 2025-12-04T08:56:58.9739388Z * [new tag] trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 2025-12-04T08:56:58.9740755Z * [new tag] trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f 2025-12-04T08:56:58.9742097Z * [new tag] trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f 2025-12-04T08:56:58.9743425Z * [new tag] trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2 2025-12-04T08:56:58.9744709Z * [new tag] trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 2025-12-04T08:56:58.9746072Z * [new tag] trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 2025-12-04T08:56:58.9747520Z * [new tag] trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 2025-12-04T08:56:58.9748603Z * [new tag] trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 2025-12-04T08:56:58.9750831Z * [new tag] trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 2025-12-04T08:56:58.9752125Z * [new tag] trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede 2025-12-04T08:56:58.9753477Z * [new tag] trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac 2025-12-04T08:56:58.9754771Z * [new tag] trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb 2025-12-04T08:56:58.9755985Z * [new tag] trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 2025-12-04T08:56:58.9757473Z * [new tag] trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 2025-12-04T08:56:58.9758786Z * [new tag] trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09 2025-12-04T08:56:58.9760016Z * [new tag] trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 2025-12-04T08:56:58.9761341Z * [new tag] trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a 2025-12-04T08:56:58.9762701Z * [new tag] trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace 2025-12-04T08:56:58.9763927Z * [new tag] trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39 2025-12-04T08:56:58.9765222Z * [new tag] trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 2025-12-04T08:56:58.9766565Z * [new tag] trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 2025-12-04T08:56:58.9767922Z * [new tag] trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf 2025-12-04T08:56:58.9769266Z * [new tag] trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 2025-12-04T08:56:58.9770523Z * [new tag] trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d 2025-12-04T08:56:58.9771864Z * [new tag] trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 2025-12-04T08:56:58.9773177Z * [new tag] trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 2025-12-04T08:56:58.9774483Z * [new tag] trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e 2025-12-04T08:56:58.9775763Z * [new tag] trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a 2025-12-04T08:56:58.9777045Z * [new tag] trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b 2025-12-04T08:56:58.9778439Z * [new tag] trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec 2025-12-04T08:56:58.9779783Z * [new tag] trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf 2025-12-04T08:56:58.9781077Z * [new tag] trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd 2025-12-04T08:56:58.9782483Z * [new tag] trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889 2025-12-04T08:56:58.9783858Z * [new tag] trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77 2025-12-04T08:56:58.9785300Z * [new tag] trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c 2025-12-04T08:56:58.9786691Z * [new tag] trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b 2025-12-04T08:56:58.9787924Z * [new tag] trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235 2025-12-04T08:56:58.9789296Z * [new tag] trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e 2025-12-04T08:56:58.9790635Z * [new tag] trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc 2025-12-04T08:56:58.9791877Z * [new tag] trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 -> trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 2025-12-04T08:56:58.9793182Z * [new tag] trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf 2025-12-04T08:56:58.9794452Z * [new tag] trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e 2025-12-04T08:56:58.9795775Z * [new tag] trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e 2025-12-04T08:56:58.9797385Z * [new tag] trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 2025-12-04T08:56:58.9798697Z * [new tag] trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 2025-12-04T08:56:58.9799993Z * [new tag] trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 2025-12-04T08:56:58.9801280Z * [new tag] trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598 2025-12-04T08:56:58.9802611Z * [new tag] trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 2025-12-04T08:56:58.9803923Z * [new tag] trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 2025-12-04T08:56:58.9805226Z * [new tag] trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 2025-12-04T08:56:58.9806453Z * [new tag] trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 2025-12-04T08:56:58.9807759Z * [new tag] trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 2025-12-04T08:56:58.9809031Z * [new tag] trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 2025-12-04T08:56:58.9810240Z * [new tag] trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 2025-12-04T08:56:58.9811609Z * [new tag] trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b 2025-12-04T08:56:58.9813295Z * [new tag] trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 2025-12-04T08:56:58.9814999Z * [new tag] trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 2025-12-04T08:56:58.9816348Z * [new tag] trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 2025-12-04T08:56:58.9817720Z * [new tag] trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:56:58.9819210Z * [new tag] v0.1.1 -> v0.1.1 2025-12-04T08:56:58.9820068Z * [new tag] v0.1.10 -> v0.1.10 2025-12-04T08:56:58.9821415Z * [new tag] v0.1.11 -> v0.1.11 2025-12-04T08:56:58.9822600Z * [new tag] v0.1.12 -> v0.1.12 2025-12-04T08:56:58.9823824Z * [new tag] v0.1.2 -> v0.1.2 2025-12-04T08:56:58.9825015Z * [new tag] v0.1.3 -> v0.1.3 2025-12-04T08:56:58.9826121Z * [new tag] v0.1.4 -> v0.1.4 2025-12-04T08:56:58.9827345Z * [new tag] v0.1.5 -> v0.1.5 2025-12-04T08:56:58.9828565Z * [new tag] v0.1.6 -> v0.1.6 2025-12-04T08:56:58.9829736Z * [new tag] v0.1.7 -> v0.1.7 2025-12-04T08:56:58.9830886Z * [new tag] v0.1.8 -> v0.1.8 2025-12-04T08:56:58.9832041Z * [new tag] v0.1.9 -> v0.1.9 2025-12-04T08:56:58.9833259Z * [new tag] v0.2.0 -> v0.2.0 2025-12-04T08:56:58.9834518Z * [new tag] v0.3.0 -> v0.3.0 2025-12-04T08:56:58.9835806Z * [new tag] v0.3.1 -> v0.3.1 2025-12-04T08:56:58.9837041Z * [new tag] v0.4.0 -> v0.4.0 2025-12-04T08:56:58.9838252Z * [new tag] v0.4.1 -> v0.4.1 2025-12-04T08:56:58.9839464Z * [new tag] v1.0.0 -> v1.0.0 2025-12-04T08:56:58.9840689Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-12-04T08:56:58.9841905Z * [new tag] v1.0.1 -> v1.0.1 2025-12-04T08:56:58.9843168Z * [new tag] v1.0rc0 -> v1.0rc0 2025-12-04T08:56:58.9844399Z * [new tag] v1.0rc1 -> v1.0rc1 2025-12-04T08:56:58.9845651Z * [new tag] v1.1.0 -> v1.1.0 2025-12-04T08:56:58.9846907Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-12-04T08:56:58.9848232Z * [new tag] v1.10.0 -> v1.10.0 2025-12-04T08:56:58.9849499Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-12-04T08:56:58.9850753Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-12-04T08:56:58.9851921Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-12-04T08:56:58.9853229Z * [new tag] v1.10.1 -> v1.10.1 2025-12-04T08:56:58.9854127Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-12-04T08:56:58.9855655Z * [new tag] v1.10.2 -> v1.10.2 2025-12-04T08:56:58.9856607Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-12-04T08:56:58.9858088Z * [new tag] v1.11.0 -> v1.11.0 2025-12-04T08:56:58.9859422Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-12-04T08:56:58.9860681Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-12-04T08:56:58.9862042Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-12-04T08:56:58.9863272Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-12-04T08:56:58.9864535Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-12-04T08:56:58.9865425Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-12-04T08:56:58.9866565Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-12-04T08:56:58.9867914Z * [new tag] v1.12.0 -> v1.12.0 2025-12-04T08:56:58.9869126Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-12-04T08:56:58.9870497Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-12-04T08:56:58.9871554Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-12-04T08:56:58.9872945Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-12-04T08:56:58.9874206Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-12-04T08:56:58.9875560Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-12-04T08:56:58.9876612Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-12-04T08:56:58.9877497Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-12-04T08:56:58.9878581Z * [new tag] v1.12.1 -> v1.12.1 2025-12-04T08:56:58.9880029Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-12-04T08:56:58.9881345Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-12-04T08:56:58.9882501Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-12-04T08:56:58.9883866Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-12-04T08:56:58.9884739Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-12-04T08:56:58.9886205Z * [new tag] v1.13.0 -> v1.13.0 2025-12-04T08:56:58.9887245Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-12-04T08:56:58.9888533Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-12-04T08:56:58.9889755Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-12-04T08:56:58.9891214Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-12-04T08:56:58.9892101Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-12-04T08:56:58.9893141Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-12-04T08:56:58.9894529Z * [new tag] v1.13.1 -> v1.13.1 2025-12-04T08:56:58.9895505Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-12-04T08:56:58.9896873Z * [new tag] v1.2.0 -> v1.2.0 2025-12-04T08:56:58.9898189Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-12-04T08:56:58.9899434Z * [new tag] v1.3.0 -> v1.3.0 2025-12-04T08:56:58.9900691Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-12-04T08:56:58.9901615Z * [new tag] v1.3.1 -> v1.3.1 2025-12-04T08:56:58.9902987Z * [new tag] v1.4.0 -> v1.4.0 2025-12-04T08:56:58.9904228Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-12-04T08:56:58.9905184Z * [new tag] v1.4.1 -> v1.4.1 2025-12-04T08:56:58.9906576Z * [new tag] v1.5.0 -> v1.5.0 2025-12-04T08:56:58.9907849Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-12-04T08:56:58.9909080Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-12-04T08:56:58.9910412Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-12-04T08:56:58.9911384Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-12-04T08:56:58.9912660Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-12-04T08:56:58.9914136Z * [new tag] v1.5.1 -> v1.5.1 2025-12-04T08:56:58.9915108Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-12-04T08:56:58.9916241Z * [new tag] v1.6.0 -> v1.6.0 2025-12-04T08:56:58.9917581Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-12-04T08:56:58.9918832Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-12-04T08:56:58.9920189Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-12-04T08:56:58.9921351Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-12-04T08:56:58.9922463Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-12-04T08:56:58.9923796Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-12-04T08:56:58.9924748Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-12-04T08:56:58.9926108Z * [new tag] v1.7.0 -> v1.7.0 2025-12-04T08:56:58.9927324Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-12-04T08:56:58.9928720Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-12-04T08:56:58.9930195Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-12-04T08:56:58.9931056Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-12-04T08:56:58.9932422Z * [new tag] v1.7.1 -> v1.7.1 2025-12-04T08:56:58.9934160Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-12-04T08:56:58.9935576Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-12-04T08:56:58.9936426Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-12-04T08:56:58.9937805Z * [new tag] v1.8.0 -> v1.8.0 2025-12-04T08:56:58.9939127Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-12-04T08:56:58.9940272Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-12-04T08:56:58.9941584Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-12-04T08:56:58.9942749Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-12-04T08:56:58.9943657Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-12-04T08:56:58.9944932Z * [new tag] v1.8.1 -> v1.8.1 2025-12-04T08:56:58.9946116Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-12-04T08:56:58.9947188Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-12-04T08:56:58.9948184Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-12-04T08:56:58.9949981Z * [new tag] v1.8.2 -> v1.8.2 2025-12-04T08:56:58.9950863Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-12-04T08:56:58.9952275Z * [new tag] v1.9.0 -> v1.9.0 2025-12-04T08:56:58.9953531Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-12-04T08:56:58.9954869Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-12-04T08:56:58.9956032Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-12-04T08:56:58.9957008Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-12-04T08:56:58.9958389Z * [new tag] v1.9.1 -> v1.9.1 2025-12-04T08:56:58.9959878Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-12-04T08:56:58.9960753Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-12-04T08:56:58.9962176Z * [new tag] v2.0.0 -> v2.0.0 2025-12-04T08:56:58.9963389Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-12-04T08:56:58.9964693Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-12-04T08:56:58.9965967Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-12-04T08:56:58.9967097Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-12-04T08:56:58.9968434Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-12-04T08:56:58.9969434Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-12-04T08:56:58.9970833Z * [new tag] v2.0.1 -> v2.0.1 2025-12-04T08:56:58.9972260Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-12-04T08:56:58.9973057Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-12-04T08:56:58.9974438Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-12-04T08:56:58.9975279Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-12-04T08:56:58.9977084Z * [new tag] v2.1.0 -> v2.1.0 2025-12-04T08:56:58.9978499Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-12-04T08:56:58.9979814Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-12-04T08:56:58.9981072Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-12-04T08:56:58.9982423Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-12-04T08:56:58.9983697Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-12-04T08:56:58.9984668Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-12-04T08:56:58.9986034Z * [new tag] v2.1.1 -> v2.1.1 2025-12-04T08:56:58.9987425Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-12-04T08:56:58.9988744Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-12-04T08:56:58.9990133Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-12-04T08:56:58.9991402Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-12-04T08:56:58.9992532Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-12-04T08:56:58.9993516Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-12-04T08:56:58.9994918Z * [new tag] v2.1.2 -> v2.1.2 2025-12-04T08:56:58.9996191Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-12-04T08:56:58.9997518Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-12-04T08:56:58.9998396Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-12-04T08:56:58.9999892Z * [new tag] v2.2.0 -> v2.2.0 2025-12-04T08:56:59.0001087Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-12-04T08:56:59.0002327Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-12-04T08:56:59.0003486Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-12-04T08:56:59.0004875Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-12-04T08:56:59.0005861Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-12-04T08:56:59.0007263Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-12-04T08:56:59.0008152Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-12-04T08:56:59.0009499Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-12-04T08:56:59.0010791Z * [new tag] v2.2.1 -> v2.2.1 2025-12-04T08:56:59.0012188Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-12-04T08:56:59.0015596Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-12-04T08:56:59.0016614Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-12-04T08:56:59.0017607Z * [new tag] v2.2.2 -> v2.2.2 2025-12-04T08:56:59.0019274Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-12-04T08:56:59.0020244Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-12-04T08:56:59.0021394Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-12-04T08:56:59.0022796Z * [new tag] v2.3.0 -> v2.3.0 2025-12-04T08:56:59.0023924Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-12-04T08:56:59.0025514Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-12-04T08:56:59.0026586Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-12-04T08:56:59.0027567Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-12-04T08:56:59.0028968Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-12-04T08:56:59.0030261Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-12-04T08:56:59.0031551Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-12-04T08:56:59.0032676Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-12-04T08:56:59.0033783Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-12-04T08:56:59.0034993Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-12-04T08:56:59.0036341Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-12-04T08:56:59.0037539Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-12-04T08:56:59.0038465Z * [new tag] v2.3.1 -> v2.3.1 2025-12-04T08:56:59.0039869Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-12-04T08:56:59.0041218Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-12-04T08:56:59.0042445Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-12-04T08:56:59.0043723Z * [new tag] v2.4.0 -> v2.4.0 2025-12-04T08:56:59.0044962Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-12-04T08:56:59.0046283Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-12-04T08:56:59.0047293Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-12-04T08:56:59.0048687Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-12-04T08:56:59.0050006Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-12-04T08:56:59.0051368Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-12-04T08:56:59.0052553Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-12-04T08:56:59.0053871Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-12-04T08:56:59.0055157Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-12-04T08:56:59.0056137Z * [new tag] v2.4.1 -> v2.4.1 2025-12-04T08:56:59.0057526Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-12-04T08:56:59.0058927Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-12-04T08:56:59.0060252Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-12-04T08:56:59.0061509Z * [new tag] v2.5.0 -> v2.5.0 2025-12-04T08:56:59.0062774Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-12-04T08:56:59.0063658Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-12-04T08:56:59.0065064Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-12-04T08:56:59.0066214Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-12-04T08:56:59.0067492Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-12-04T08:56:59.0068770Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-12-04T08:56:59.0070075Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-12-04T08:56:59.0071388Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-12-04T08:56:59.0072531Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-12-04T08:56:59.0073865Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-12-04T08:56:59.0074748Z * [new tag] v2.5.1 -> v2.5.1 2025-12-04T08:56:59.0076115Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-12-04T08:56:59.0076927Z * [new tag] v2.6.0 -> v2.6.0 2025-12-04T08:56:59.0078336Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-12-04T08:56:59.0079697Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-12-04T08:56:59.0081012Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-12-04T08:56:59.0082186Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-12-04T08:56:59.0083583Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-12-04T08:56:59.0084938Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-12-04T08:56:59.0086284Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-12-04T08:56:59.0087540Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-12-04T08:56:59.0088873Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-12-04T08:56:59.0090312Z * [new tag] v2.7.0 -> v2.7.0 2025-12-04T08:56:59.0091683Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-12-04T08:56:59.0092622Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-12-04T08:56:59.0094089Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-12-04T08:56:59.0095823Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-12-04T08:56:59.0097149Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-12-04T08:56:59.0098379Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-12-04T08:56:59.0099675Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-12-04T08:56:59.0100969Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-12-04T08:56:59.0102360Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-12-04T08:56:59.0103581Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-12-04T08:56:59.0104476Z * [new tag] v2.7.1 -> v2.7.1 2025-12-04T08:56:59.0105928Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-12-04T08:56:59.0107291Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-12-04T08:56:59.0108609Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-12-04T08:56:59.0109903Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-12-04T08:56:59.0111165Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-12-04T08:56:59.0112345Z * [new tag] v2.8.0 -> v2.8.0 2025-12-04T08:56:59.0113787Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-12-04T08:56:59.0115070Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-12-04T08:56:59.0116390Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-12-04T08:56:59.0117820Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-12-04T08:56:59.0119058Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-12-04T08:56:59.0120405Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-12-04T08:56:59.0121655Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-12-04T08:56:59.0122943Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-12-04T08:56:59.0124279Z * [new tag] v2.9.0 -> v2.9.0 2025-12-04T08:56:59.0125496Z * [new tag] v2.9.0-rc1 -> v2.9.0-rc1 2025-12-04T08:56:59.0126771Z * [new tag] v2.9.0-rc10 -> v2.9.0-rc10 2025-12-04T08:56:59.0128187Z * [new tag] v2.9.0-rc11 -> v2.9.0-rc11 2025-12-04T08:56:59.0129786Z * [new tag] v2.9.0-rc2 -> v2.9.0-rc2 2025-12-04T08:56:59.0130802Z * [new tag] v2.9.0-rc3 -> v2.9.0-rc3 2025-12-04T08:56:59.0132206Z * [new tag] v2.9.0-rc4 -> v2.9.0-rc4 2025-12-04T08:56:59.0133643Z * [new tag] v2.9.0-rc5 -> v2.9.0-rc5 2025-12-04T08:56:59.0135056Z * [new tag] v2.9.0-rc6 -> v2.9.0-rc6 2025-12-04T08:56:59.0136384Z * [new tag] v2.9.0-rc7 -> v2.9.0-rc7 2025-12-04T08:56:59.0137793Z * [new tag] v2.9.0-rc8 -> v2.9.0-rc8 2025-12-04T08:56:59.0138958Z * [new tag] v2.9.0-rc9 -> v2.9.0-rc9 2025-12-04T08:56:59.0140089Z * [new tag] v2.9.1 -> v2.9.1 2025-12-04T08:56:59.0141479Z * [new tag] v2.9.1-rc1 -> v2.9.1-rc1 2025-12-04T08:56:59.0142773Z * [new tag] v2.9.1-rc2 -> v2.9.1-rc2 2025-12-04T08:56:59.0144880Z * [new tag] viable/strict/1759343184 -> viable/strict/1759343184 2025-12-04T08:56:59.0146090Z * [new tag] viable/strict/1759346540 -> viable/strict/1759346540 2025-12-04T08:56:59.0147368Z * [new tag] viable/strict/1759348181 -> viable/strict/1759348181 2025-12-04T08:56:59.0148619Z * [new tag] viable/strict/1759350324 -> viable/strict/1759350324 2025-12-04T08:56:59.0149663Z * [new tag] viable/strict/1759351793 -> viable/strict/1759351793 2025-12-04T08:56:59.0151003Z * [new tag] viable/strict/1759353844 -> viable/strict/1759353844 2025-12-04T08:56:59.0152282Z * [new tag] viable/strict/1759355374 -> viable/strict/1759355374 2025-12-04T08:56:59.0153305Z * [new tag] viable/strict/1759357472 -> viable/strict/1759357472 2025-12-04T08:56:59.0154747Z * [new tag] viable/strict/1759361002 -> viable/strict/1759361002 2025-12-04T08:56:59.0156220Z * [new tag] viable/strict/1759362585 -> viable/strict/1759362585 2025-12-04T08:56:59.0157680Z * [new tag] viable/strict/1759365359 -> viable/strict/1759365359 2025-12-04T08:56:59.0158983Z * [new tag] viable/strict/1759370089 -> viable/strict/1759370089 2025-12-04T08:56:59.0160357Z * [new tag] viable/strict/1759377554 -> viable/strict/1759377554 2025-12-04T08:56:59.0161518Z * [new tag] viable/strict/1759379133 -> viable/strict/1759379133 2025-12-04T08:56:59.0162877Z * [new tag] viable/strict/1759389871 -> viable/strict/1759389871 2025-12-04T08:56:59.0164030Z * [new tag] viable/strict/1759393562 -> viable/strict/1759393562 2025-12-04T08:56:59.0165490Z * [new tag] viable/strict/1759395076 -> viable/strict/1759395076 2025-12-04T08:56:59.0166650Z * [new tag] viable/strict/1759398579 -> viable/strict/1759398579 2025-12-04T08:56:59.0168022Z * [new tag] viable/strict/1759404142 -> viable/strict/1759404142 2025-12-04T08:56:59.0169205Z * [new tag] viable/strict/1759405773 -> viable/strict/1759405773 2025-12-04T08:56:59.0170612Z * [new tag] viable/strict/1759408041 -> viable/strict/1759408041 2025-12-04T08:56:59.0171764Z * [new tag] viable/strict/1759411593 -> viable/strict/1759411593 2025-12-04T08:56:59.0173161Z * [new tag] viable/strict/1759427395 -> viable/strict/1759427395 2025-12-04T08:56:59.0174548Z * [new tag] viable/strict/1759434582 -> viable/strict/1759434582 2025-12-04T08:56:59.0175697Z * [new tag] viable/strict/1759436720 -> viable/strict/1759436720 2025-12-04T08:56:59.0177129Z * [new tag] viable/strict/1759440219 -> viable/strict/1759440219 2025-12-04T08:56:59.0178384Z * [new tag] viable/strict/1759441948 -> viable/strict/1759441948 2025-12-04T08:56:59.0179891Z * [new tag] viable/strict/1759443860 -> viable/strict/1759443860 2025-12-04T08:56:59.0180893Z * [new tag] viable/strict/1759445377 -> viable/strict/1759445377 2025-12-04T08:56:59.0182348Z * [new tag] viable/strict/1759447415 -> viable/strict/1759447415 2025-12-04T08:56:59.0183518Z * [new tag] viable/strict/1759451750 -> viable/strict/1759451750 2025-12-04T08:56:59.0184968Z * [new tag] viable/strict/1759453910 -> viable/strict/1759453910 2025-12-04T08:56:59.0186146Z * [new tag] viable/strict/1759456483 -> viable/strict/1759456483 2025-12-04T08:56:59.0187611Z * [new tag] viable/strict/1759459279 -> viable/strict/1759459279 2025-12-04T08:56:59.0188770Z * [new tag] viable/strict/1759460742 -> viable/strict/1759460742 2025-12-04T08:56:59.0190153Z * [new tag] viable/strict/1759462025 -> viable/strict/1759462025 2025-12-04T08:56:59.0191543Z * [new tag] viable/strict/1759469086 -> viable/strict/1759469086 2025-12-04T08:56:59.0192712Z * [new tag] viable/strict/1759470581 -> viable/strict/1759470581 2025-12-04T08:56:59.0194103Z * [new tag] viable/strict/1759472786 -> viable/strict/1759472786 2025-12-04T08:56:59.0195411Z * [new tag] viable/strict/1759476294 -> viable/strict/1759476294 2025-12-04T08:56:59.0196703Z * [new tag] viable/strict/1759479963 -> viable/strict/1759479963 2025-12-04T08:56:59.0197938Z * [new tag] viable/strict/1759492177 -> viable/strict/1759492177 2025-12-04T08:56:59.0199249Z * [new tag] viable/strict/1759519278 -> viable/strict/1759519278 2025-12-04T08:56:59.0200625Z * [new tag] viable/strict/1759524580 -> viable/strict/1759524580 2025-12-04T08:56:59.0201644Z * [new tag] viable/strict/1759528193 -> viable/strict/1759528193 2025-12-04T08:56:59.0203203Z * [new tag] viable/strict/1759533797 -> viable/strict/1759533797 2025-12-04T08:56:59.0204548Z * [new tag] viable/strict/1759542780 -> viable/strict/1759542780 2025-12-04T08:56:59.0205874Z * [new tag] viable/strict/1759549779 -> viable/strict/1759549779 2025-12-04T08:56:59.0207135Z * [new tag] viable/strict/1759555455 -> viable/strict/1759555455 2025-12-04T08:56:59.0208430Z * [new tag] viable/strict/1759559176 -> viable/strict/1759559176 2025-12-04T08:56:59.0209735Z * [new tag] viable/strict/1759560629 -> viable/strict/1759560629 2025-12-04T08:56:59.0211046Z * [new tag] viable/strict/1759569848 -> viable/strict/1759569848 2025-12-04T08:56:59.0212537Z * [new tag] viable/strict/1759571382 -> viable/strict/1759571382 2025-12-04T08:56:59.0213815Z * [new tag] viable/strict/1759573474 -> viable/strict/1759573474 2025-12-04T08:56:59.0215153Z * [new tag] viable/strict/1759618187 -> viable/strict/1759618187 2025-12-04T08:56:59.0216535Z * [new tag] viable/strict/1759626742 -> viable/strict/1759626742 2025-12-04T08:56:59.0217939Z * [new tag] viable/strict/1759632427 -> viable/strict/1759632427 2025-12-04T08:56:59.0219229Z * [new tag] viable/strict/1759634971 -> viable/strict/1759634971 2025-12-04T08:56:59.0220577Z * [new tag] viable/strict/1759661382 -> viable/strict/1759661382 2025-12-04T08:56:59.0221956Z * [new tag] viable/strict/1759663294 -> viable/strict/1759663294 2025-12-04T08:56:59.0222898Z * [new tag] viable/strict/1759708178 -> viable/strict/1759708178 2025-12-04T08:56:59.0224329Z * [new tag] viable/strict/1759715695 -> viable/strict/1759715695 2025-12-04T08:56:59.0225788Z * [new tag] viable/strict/1759728293 -> viable/strict/1759728293 2025-12-04T08:56:59.0227430Z * [new tag] viable/strict/1759735513 -> viable/strict/1759735513 2025-12-04T08:56:59.0228710Z * [new tag] viable/strict/1759739177 -> viable/strict/1759739177 2025-12-04T08:56:59.0230034Z * [new tag] viable/strict/1759758635 -> viable/strict/1759758635 2025-12-04T08:56:59.0231323Z * [new tag] viable/strict/1759765784 -> viable/strict/1759765784 2025-12-04T08:56:59.0232577Z * [new tag] viable/strict/1759767948 -> viable/strict/1759767948 2025-12-04T08:56:59.0233883Z * [new tag] viable/strict/1759771461 -> viable/strict/1759771461 2025-12-04T08:56:59.0234885Z * [new tag] viable/strict/1759776706 -> viable/strict/1759776706 2025-12-04T08:56:59.0236346Z * [new tag] viable/strict/1759782317 -> viable/strict/1759782317 2025-12-04T08:56:59.0237727Z * [new tag] viable/strict/1759783777 -> viable/strict/1759783777 2025-12-04T08:56:59.0239037Z * [new tag] viable/strict/1759785815 -> viable/strict/1759785815 2025-12-04T08:56:59.0240310Z * [new tag] viable/strict/1759789459 -> viable/strict/1759789459 2025-12-04T08:56:59.0241631Z * [new tag] viable/strict/1759790974 -> viable/strict/1759790974 2025-12-04T08:56:59.0242924Z * [new tag] viable/strict/1759794583 -> viable/strict/1759794583 2025-12-04T08:56:59.0244072Z * [new tag] viable/strict/1759797408 -> viable/strict/1759797408 2025-12-04T08:56:59.0245395Z * [new tag] viable/strict/1759799518 -> viable/strict/1759799518 2025-12-04T08:56:59.0246655Z * [new tag] viable/strict/1759804909 -> viable/strict/1759804909 2025-12-04T08:56:59.0247986Z * [new tag] viable/strict/1759807643 -> viable/strict/1759807643 2025-12-04T08:56:59.0249253Z * [new tag] viable/strict/1759809089 -> viable/strict/1759809089 2025-12-04T08:56:59.0250586Z * [new tag] viable/strict/1759811145 -> viable/strict/1759811145 2025-12-04T08:56:59.0251872Z * [new tag] viable/strict/1759812581 -> viable/strict/1759812581 2025-12-04T08:56:59.0253127Z * [new tag] viable/strict/1759814683 -> viable/strict/1759814683 2025-12-04T08:56:59.0254401Z * [new tag] viable/strict/1759821889 -> viable/strict/1759821889 2025-12-04T08:56:59.0255708Z * [new tag] viable/strict/1759823376 -> viable/strict/1759823376 2025-12-04T08:56:59.0257067Z * [new tag] viable/strict/1759827107 -> viable/strict/1759827107 2025-12-04T08:56:59.0258315Z * [new tag] viable/strict/1759830577 -> viable/strict/1759830577 2025-12-04T08:56:59.0259745Z * [new tag] viable/strict/1759832720 -> viable/strict/1759832720 2025-12-04T08:56:59.0261045Z * [new tag] viable/strict/1759842063 -> viable/strict/1759842063 2025-12-04T08:56:59.0262321Z * [new tag] viable/strict/1759847121 -> viable/strict/1759847121 2025-12-04T08:56:59.0263804Z * [new tag] viable/strict/1759850721 -> viable/strict/1759850721 2025-12-04T08:56:59.0265090Z * [new tag] viable/strict/1759857870 -> viable/strict/1759857870 2025-12-04T08:56:59.0266421Z * [new tag] viable/strict/1759863143 -> viable/strict/1759863143 2025-12-04T08:56:59.0267712Z * [new tag] viable/strict/1759875874 -> viable/strict/1759875874 2025-12-04T08:56:59.0268711Z * [new tag] viable/strict/1759877385 -> viable/strict/1759877385 2025-12-04T08:56:59.0270107Z * [new tag] viable/strict/1759883801 -> viable/strict/1759883801 2025-12-04T08:56:59.0271408Z * [new tag] viable/strict/1759885922 -> viable/strict/1759885922 2025-12-04T08:56:59.0272814Z * [new tag] viable/strict/1759888488 -> viable/strict/1759888488 2025-12-04T08:56:59.0273850Z * [new tag] viable/strict/1759895471 -> viable/strict/1759895471 2025-12-04T08:56:59.0275240Z * [new tag] viable/strict/1759904803 -> viable/strict/1759904803 2025-12-04T08:56:59.0276631Z * [new tag] viable/strict/1759908300 -> viable/strict/1759908300 2025-12-04T08:56:59.0277992Z * [new tag] viable/strict/1759915520 -> viable/strict/1759915520 2025-12-04T08:56:59.0279270Z * [new tag] viable/strict/1759916978 -> viable/strict/1759916978 2025-12-04T08:56:59.0280274Z * [new tag] viable/strict/1759930024 -> viable/strict/1759930024 2025-12-04T08:56:59.0281692Z * [new tag] viable/strict/1759948122 -> viable/strict/1759948122 2025-12-04T08:56:59.0283163Z * [new tag] viable/strict/1759952983 -> viable/strict/1759952983 2025-12-04T08:56:59.0284527Z * [new tag] viable/strict/1759955121 -> viable/strict/1759955121 2025-12-04T08:56:59.0285703Z * [new tag] viable/strict/1759962298 -> viable/strict/1759962298 2025-12-04T08:56:59.0287055Z * [new tag] viable/strict/1759965837 -> viable/strict/1759965837 2025-12-04T08:56:59.0288437Z * [new tag] viable/strict/1759970213 -> viable/strict/1759970213 2025-12-04T08:56:59.0289600Z * [new tag] viable/strict/1759974894 -> viable/strict/1759974894 2025-12-04T08:56:59.0290971Z * [new tag] viable/strict/1759977763 -> viable/strict/1759977763 2025-12-04T08:56:59.0292330Z * [new tag] viable/strict/1759979241 -> viable/strict/1759979241 2025-12-04T08:56:59.0293659Z * [new tag] viable/strict/1759985417 -> viable/strict/1759985417 2025-12-04T08:56:59.0294738Z * [new tag] viable/strict/1759987490 -> viable/strict/1759987490 2025-12-04T08:56:59.0296151Z * [new tag] viable/strict/1759996180 -> viable/strict/1759996180 2025-12-04T08:56:59.0297502Z * [new tag] viable/strict/1760065682 -> viable/strict/1760065682 2025-12-04T08:56:59.0299066Z * [new tag] viable/strict/1760066894 -> viable/strict/1760066894 2025-12-04T08:56:59.0300243Z * [new tag] viable/strict/1760070345 -> viable/strict/1760070345 2025-12-04T08:56:59.0301619Z * [new tag] viable/strict/1760089782 -> viable/strict/1760089782 2025-12-04T08:56:59.0302689Z * [new tag] viable/strict/1760091921 -> viable/strict/1760091921 2025-12-04T08:56:59.0304246Z * [new tag] viable/strict/1760127924 -> viable/strict/1760127924 2025-12-04T08:56:59.0305518Z * [new tag] viable/strict/1760129489 -> viable/strict/1760129489 2025-12-04T08:56:59.0306865Z * [new tag] viable/strict/1760132980 -> viable/strict/1760132980 2025-12-04T08:56:59.0308202Z * [new tag] viable/strict/1760135060 -> viable/strict/1760135060 2025-12-04T08:56:59.0309540Z * [new tag] viable/strict/1760215782 -> viable/strict/1760215782 2025-12-04T08:56:59.0311138Z * [new tag] viable/strict/1760273849 -> viable/strict/1760273849 2025-12-04T08:56:59.0312709Z * [new tag] viable/strict/1760275517 -> viable/strict/1760275517 2025-12-04T08:56:59.0327111Z * [new tag] viable/strict/1760276979 -> viable/strict/1760276979 2025-12-04T08:56:59.0327413Z * [new tag] viable/strict/1760279007 -> viable/strict/1760279007 2025-12-04T08:56:59.0327657Z * [new tag] viable/strict/1760286328 -> viable/strict/1760286328 2025-12-04T08:56:59.0327797Z * [new tag] viable/strict/1760493304 -> viable/strict/1760493304 2025-12-04T08:56:59.0328005Z * [new tag] viable/strict/1760496298 -> viable/strict/1760496298 2025-12-04T08:56:59.0328334Z * [new tag] viable/strict/1760518396 -> viable/strict/1760518396 2025-12-04T08:56:59.0328579Z * [new tag] viable/strict/1760534864 -> viable/strict/1760534864 2025-12-04T08:56:59.0328718Z * [new tag] viable/strict/1760549062 -> viable/strict/1760549062 2025-12-04T08:56:59.0328850Z * [new tag] viable/strict/1760552799 -> viable/strict/1760552799 2025-12-04T08:56:59.0328977Z * [new tag] viable/strict/1760554355 -> viable/strict/1760554355 2025-12-04T08:56:59.0329104Z * [new tag] viable/strict/1760556275 -> viable/strict/1760556275 2025-12-04T08:56:59.0329251Z * [new tag] viable/strict/1760564979 -> viable/strict/1760564979 2025-12-04T08:56:59.0329479Z * [new tag] viable/strict/1760567049 -> viable/strict/1760567049 2025-12-04T08:56:59.0330998Z * [new tag] viable/strict/1760568585 -> viable/strict/1760568585 2025-12-04T08:56:59.0332247Z * [new tag] viable/strict/1760570630 -> viable/strict/1760570630 2025-12-04T08:56:59.0333529Z * [new tag] viable/strict/1760572180 -> viable/strict/1760572180 2025-12-04T08:56:59.0334808Z * [new tag] viable/strict/1760575094 -> viable/strict/1760575094 2025-12-04T08:56:59.0336214Z * [new tag] viable/strict/1760579709 -> viable/strict/1760579709 2025-12-04T08:56:59.0337915Z * [new tag] viable/strict/1760582614 -> viable/strict/1760582614 2025-12-04T08:56:59.0339348Z * [new tag] viable/strict/1760586815 -> viable/strict/1760586815 2025-12-04T08:56:59.0340514Z * [new tag] viable/strict/1760588829 -> viable/strict/1760588829 2025-12-04T08:56:59.0341864Z * [new tag] viable/strict/1760590200 -> viable/strict/1760590200 2025-12-04T08:56:59.0343221Z * [new tag] viable/strict/1760592311 -> viable/strict/1760592311 2025-12-04T08:56:59.0344517Z * [new tag] viable/strict/1760619733 -> viable/strict/1760619733 2025-12-04T08:56:59.0345742Z * [new tag] viable/strict/1760628335 -> viable/strict/1760628335 2025-12-04T08:56:59.0346999Z * [new tag] viable/strict/1760635490 -> viable/strict/1760635490 2025-12-04T08:56:59.0348244Z * [new tag] viable/strict/1760640743 -> viable/strict/1760640743 2025-12-04T08:56:59.0349559Z * [new tag] viable/strict/1760642528 -> viable/strict/1760642528 2025-12-04T08:56:59.0350822Z * [new tag] viable/strict/1760646330 -> viable/strict/1760646330 2025-12-04T08:56:59.0352092Z * [new tag] viable/strict/1760666101 -> viable/strict/1760666101 2025-12-04T08:56:59.0353413Z * [new tag] viable/strict/1760668990 -> viable/strict/1760668990 2025-12-04T08:56:59.0354712Z * [new tag] viable/strict/1760670600 -> viable/strict/1760670600 2025-12-04T08:56:59.0356010Z * [new tag] viable/strict/1760671704 -> viable/strict/1760671704 2025-12-04T08:56:59.0357268Z * [new tag] viable/strict/1760673121 -> viable/strict/1760673121 2025-12-04T08:56:59.0358565Z * [new tag] viable/strict/1760675352 -> viable/strict/1760675352 2025-12-04T08:56:59.0359851Z * [new tag] viable/strict/1760696731 -> viable/strict/1760696731 2025-12-04T08:56:59.0362222Z * [new tag] viable/strict/1760723515 -> viable/strict/1760723515 2025-12-04T08:56:59.0363547Z * [new tag] viable/strict/1760727234 -> viable/strict/1760727234 2025-12-04T08:56:59.0364832Z * [new tag] viable/strict/1760730578 -> viable/strict/1760730578 2025-12-04T08:56:59.0366133Z * [new tag] viable/strict/1760732726 -> viable/strict/1760732726 2025-12-04T08:56:59.0367463Z * [new tag] viable/strict/1760734180 -> viable/strict/1760734180 2025-12-04T08:56:59.0368819Z * [new tag] viable/strict/1760736251 -> viable/strict/1760736251 2025-12-04T08:56:59.0370127Z * [new tag] viable/strict/1760737772 -> viable/strict/1760737772 2025-12-04T08:56:59.0371397Z * [new tag] viable/strict/1760758005 -> viable/strict/1760758005 2025-12-04T08:56:59.0372766Z * [new tag] viable/strict/1760761532 -> viable/strict/1760761532 2025-12-04T08:56:59.0374021Z * [new tag] viable/strict/1760802581 -> viable/strict/1760802581 2025-12-04T08:56:59.0375289Z * [new tag] viable/strict/1760827772 -> viable/strict/1760827772 2025-12-04T08:56:59.0376573Z * [new tag] viable/strict/1760834524 -> viable/strict/1760834524 2025-12-04T08:56:59.0378011Z * [new tag] viable/strict/1760845009 -> viable/strict/1760845009 2025-12-04T08:56:59.0379386Z * [new tag] viable/strict/1760876836 -> viable/strict/1760876836 2025-12-04T08:56:59.0380661Z * [new tag] viable/strict/1760880329 -> viable/strict/1760880329 2025-12-04T08:56:59.0381924Z * [new tag] viable/strict/1760888987 -> viable/strict/1760888987 2025-12-04T08:56:59.0383209Z * [new tag] viable/strict/1760912664 -> viable/strict/1760912664 2025-12-04T08:56:59.0384542Z * [new tag] viable/strict/1760925321 -> viable/strict/1760925321 2025-12-04T08:56:59.0385800Z * [new tag] viable/strict/1760931488 -> viable/strict/1760931488 2025-12-04T08:56:59.0387150Z * [new tag] viable/strict/1760932693 -> viable/strict/1760932693 2025-12-04T08:56:59.0388533Z * [new tag] viable/strict/1761004184 -> viable/strict/1761004184 2025-12-04T08:56:59.0389772Z * [new tag] viable/strict/1761014748 -> viable/strict/1761014748 2025-12-04T08:56:59.0391103Z * [new tag] viable/strict/1761017491 -> viable/strict/1761017491 2025-12-04T08:56:59.0392405Z * [new tag] viable/strict/1761018806 -> viable/strict/1761018806 2025-12-04T08:56:59.0393830Z * [new tag] viable/strict/1761020754 -> viable/strict/1761020754 2025-12-04T08:56:59.0395061Z * [new tag] viable/strict/1761024303 -> viable/strict/1761024303 2025-12-04T08:56:59.0396723Z * [new tag] viable/strict/1761029582 -> viable/strict/1761029582 2025-12-04T08:56:59.0398023Z * [new tag] viable/strict/1761031535 -> viable/strict/1761031535 2025-12-04T08:56:59.0399294Z * [new tag] viable/strict/1761035196 -> viable/strict/1761035196 2025-12-04T08:56:59.0400719Z * [new tag] viable/strict/1761045825 -> viable/strict/1761045825 2025-12-04T08:56:59.0402031Z * [new tag] viable/strict/1761054796 -> viable/strict/1761054796 2025-12-04T08:56:59.0403326Z * [new tag] viable/strict/1761060314 -> viable/strict/1761060314 2025-12-04T08:56:59.0404629Z * [new tag] viable/strict/1761071198 -> viable/strict/1761071198 2025-12-04T08:56:59.0405989Z * [new tag] viable/strict/1761074628 -> viable/strict/1761074628 2025-12-04T08:56:59.0407308Z * [new tag] viable/strict/1761078351 -> viable/strict/1761078351 2025-12-04T08:56:59.0408634Z * [new tag] viable/strict/1761079822 -> viable/strict/1761079822 2025-12-04T08:56:59.0409928Z * [new tag] viable/strict/1761081873 -> viable/strict/1761081873 2025-12-04T08:56:59.0411187Z * [new tag] viable/strict/1761083392 -> viable/strict/1761083392 2025-12-04T08:56:59.0412658Z * [new tag] viable/strict/1761085465 -> viable/strict/1761085465 2025-12-04T08:56:59.0415955Z * [new tag] viable/strict/1761089099 -> viable/strict/1761089099 2025-12-04T08:56:59.0417213Z * [new tag] viable/strict/1761095535 -> viable/strict/1761095535 2025-12-04T08:56:59.0418737Z * [new tag] viable/strict/1761098119 -> viable/strict/1761098119 2025-12-04T08:56:59.0420310Z * [new tag] viable/strict/1761101330 -> viable/strict/1761101330 2025-12-04T08:56:59.0421596Z * [new tag] viable/strict/1761114425 -> viable/strict/1761114425 2025-12-04T08:56:59.0422881Z * [new tag] viable/strict/1761116036 -> viable/strict/1761116036 2025-12-04T08:56:59.0424187Z * [new tag] viable/strict/1761119379 -> viable/strict/1761119379 2025-12-04T08:56:59.0425486Z * [new tag] viable/strict/1761121601 -> viable/strict/1761121601 2025-12-04T08:56:59.0426767Z * [new tag] viable/strict/1761123234 -> viable/strict/1761123234 2025-12-04T08:56:59.0428038Z * [new tag] viable/strict/1761126621 -> viable/strict/1761126621 2025-12-04T08:56:59.0429397Z * [new tag] viable/strict/1761132259 -> viable/strict/1761132259 2025-12-04T08:56:59.0430735Z * [new tag] viable/strict/1761146746 -> viable/strict/1761146746 2025-12-04T08:56:59.0432003Z * [new tag] viable/strict/1761164752 -> viable/strict/1761164752 2025-12-04T08:56:59.0433330Z * [new tag] viable/strict/1761166198 -> viable/strict/1761166198 2025-12-04T08:56:59.0434634Z * [new tag] viable/strict/1761175424 -> viable/strict/1761175424 2025-12-04T08:56:59.0435894Z * [new tag] viable/strict/1761176983 -> viable/strict/1761176983 2025-12-04T08:56:59.0437321Z * [new tag] viable/strict/1761179891 -> viable/strict/1761179891 2025-12-04T08:56:59.0438632Z * [new tag] viable/strict/1761181930 -> viable/strict/1761181930 2025-12-04T08:56:59.0439986Z * [new tag] viable/strict/1761184516 -> viable/strict/1761184516 2025-12-04T08:56:59.0441320Z * [new tag] viable/strict/1761190179 -> viable/strict/1761190179 2025-12-04T08:56:59.0442579Z * [new tag] viable/strict/1761193558 -> viable/strict/1761193558 2025-12-04T08:56:59.0443872Z * [new tag] viable/strict/1761207990 -> viable/strict/1761207990 2025-12-04T08:56:59.0445183Z * [new tag] viable/strict/1761229539 -> viable/strict/1761229539 2025-12-04T08:56:59.0446637Z * [new tag] viable/strict/1761244031 -> viable/strict/1761244031 2025-12-04T08:56:59.0447973Z * [new tag] viable/strict/1761248986 -> viable/strict/1761248986 2025-12-04T08:56:59.0449313Z * [new tag] viable/strict/1761259791 -> viable/strict/1761259791 2025-12-04T08:56:59.0450573Z * [new tag] viable/strict/1761266139 -> viable/strict/1761266139 2025-12-04T08:56:59.0451875Z * [new tag] viable/strict/1761268316 -> viable/strict/1761268316 2025-12-04T08:56:59.0453212Z * [new tag] viable/strict/1761273805 -> viable/strict/1761273805 2025-12-04T08:56:59.0454477Z * [new tag] viable/strict/1761275261 -> viable/strict/1761275261 2025-12-04T08:56:59.0455802Z * [new tag] viable/strict/1761277913 -> viable/strict/1761277913 2025-12-04T08:56:59.0457140Z * [new tag] viable/strict/1761290701 -> viable/strict/1761290701 2025-12-04T08:56:59.0458614Z * [new tag] viable/strict/1761294396 -> viable/strict/1761294396 2025-12-04T08:56:59.0459859Z * [new tag] viable/strict/1761303047 -> viable/strict/1761303047 2025-12-04T08:56:59.0461283Z * [new tag] viable/strict/1761335388 -> viable/strict/1761335388 2025-12-04T08:56:59.0462591Z * [new tag] viable/strict/1761337551 -> viable/strict/1761337551 2025-12-04T08:56:59.0463926Z * [new tag] viable/strict/1761339007 -> viable/strict/1761339007 2025-12-04T08:56:59.0465196Z * [new tag] viable/strict/1761341050 -> viable/strict/1761341050 2025-12-04T08:56:59.0466566Z * [new tag] viable/strict/1761346188 -> viable/strict/1761346188 2025-12-04T08:56:59.0467963Z * [new tag] viable/strict/1761349792 -> viable/strict/1761349792 2025-12-04T08:56:59.0469272Z * [new tag] viable/strict/1761352620 -> viable/strict/1761352620 2025-12-04T08:56:59.0470508Z * [new tag] viable/strict/1761354730 -> viable/strict/1761354730 2025-12-04T08:56:59.0471874Z * [new tag] viable/strict/1761357298 -> viable/strict/1761357298 2025-12-04T08:56:59.0473141Z * [new tag] viable/strict/1761360201 -> viable/strict/1761360201 2025-12-04T08:56:59.0474591Z * [new tag] viable/strict/1761361753 -> viable/strict/1761361753 2025-12-04T08:56:59.0475890Z * [new tag] viable/strict/1761364351 -> viable/strict/1761364351 2025-12-04T08:56:59.0477155Z * [new tag] viable/strict/1761366338 -> viable/strict/1761366338 2025-12-04T08:56:59.0478552Z * [new tag] viable/strict/1761367802 -> viable/strict/1761367802 2025-12-04T08:56:59.0479921Z * [new tag] viable/strict/1761369889 -> viable/strict/1761369889 2025-12-04T08:56:59.0481236Z * [new tag] viable/strict/1761371385 -> viable/strict/1761371385 2025-12-04T08:56:59.0482563Z * [new tag] viable/strict/1761373581 -> viable/strict/1761373581 2025-12-04T08:56:59.0484309Z * [new tag] viable/strict/1761375054 -> viable/strict/1761375054 2025-12-04T08:56:59.0485706Z * [new tag] viable/strict/1761421785 -> viable/strict/1761421785 2025-12-04T08:56:59.0487067Z * [new tag] viable/strict/1761434614 -> viable/strict/1761434614 2025-12-04T08:56:59.0488572Z * [new tag] viable/strict/1761439254 -> viable/strict/1761439254 2025-12-04T08:56:59.0489976Z * [new tag] viable/strict/1761454187 -> viable/strict/1761454187 2025-12-04T08:56:59.0491384Z * [new tag] viable/strict/1761459991 -> viable/strict/1761459991 2025-12-04T08:56:59.0492827Z * [new tag] viable/strict/1761470668 -> viable/strict/1761470668 2025-12-04T08:56:59.0494470Z * [new tag] viable/strict/1761472188 -> viable/strict/1761472188 2025-12-04T08:56:59.0495833Z * [new tag] viable/strict/1761503178 -> viable/strict/1761503178 2025-12-04T08:56:59.0497149Z * [new tag] viable/strict/1761517492 -> viable/strict/1761517492 2025-12-04T08:56:59.0498573Z * [new tag] viable/strict/1761518981 -> viable/strict/1761518981 2025-12-04T08:56:59.0499904Z * [new tag] viable/strict/1761533609 -> viable/strict/1761533609 2025-12-04T08:56:59.0501114Z * [new tag] viable/strict/1761546438 -> viable/strict/1761546438 2025-12-04T08:56:59.0502432Z * [new tag] viable/strict/1761548133 -> viable/strict/1761548133 2025-12-04T08:56:59.0503963Z * [new tag] viable/strict/1761555186 -> viable/strict/1761555186 2025-12-04T08:56:59.0505370Z * [new tag] viable/strict/1761557178 -> viable/strict/1761557178 2025-12-04T08:56:59.0506679Z * [new tag] viable/strict/1761560772 -> viable/strict/1761560772 2025-12-04T08:56:59.0508026Z * [new tag] viable/strict/1761562266 -> viable/strict/1761562266 2025-12-04T08:56:59.0509338Z * [new tag] viable/strict/1761564260 -> viable/strict/1761564260 2025-12-04T08:56:59.0510671Z * [new tag] viable/strict/1761568072 -> viable/strict/1761568072 2025-12-04T08:56:59.0512137Z * [new tag] viable/strict/1761571683 -> viable/strict/1761571683 2025-12-04T08:56:59.0513411Z * [new tag] viable/strict/1761580199 -> viable/strict/1761580199 2025-12-04T08:56:59.0514714Z * [new tag] viable/strict/1761587383 -> viable/strict/1761587383 2025-12-04T08:56:59.0516247Z * [new tag] viable/strict/1761591165 -> viable/strict/1761591165 2025-12-04T08:56:59.0517509Z * [new tag] viable/strict/1761594575 -> viable/strict/1761594575 2025-12-04T08:56:59.0518781Z * [new tag] viable/strict/1761596710 -> viable/strict/1761596710 2025-12-04T08:56:59.0520123Z * [new tag] viable/strict/1761598189 -> viable/strict/1761598189 2025-12-04T08:56:59.0521436Z * [new tag] viable/strict/1761600254 -> viable/strict/1761600254 2025-12-04T08:56:59.0522761Z * [new tag] viable/strict/1761603879 -> viable/strict/1761603879 2025-12-04T08:56:59.0524094Z * [new tag] viable/strict/1761605429 -> viable/strict/1761605429 2025-12-04T08:56:59.0525512Z * [new tag] viable/strict/1761607468 -> viable/strict/1761607468 2025-12-04T08:56:59.0526860Z * [new tag] viable/strict/1761608983 -> viable/strict/1761608983 2025-12-04T08:56:59.0528313Z * [new tag] viable/strict/1761611846 -> viable/strict/1761611846 2025-12-04T08:56:59.0529613Z * [new tag] viable/strict/1761613922 -> viable/strict/1761613922 2025-12-04T08:56:59.0530796Z * [new tag] viable/strict/1761616504 -> viable/strict/1761616504 2025-12-04T08:56:59.0531984Z * [new tag] viable/strict/1761619599 -> viable/strict/1761619599 2025-12-04T08:56:59.0533397Z * [new tag] viable/strict/1761686693 -> viable/strict/1761686693 2025-12-04T08:56:59.0534583Z * [new tag] viable/strict/1761688179 -> viable/strict/1761688179 2025-12-04T08:56:59.0535846Z * [new tag] viable/strict/1761691973 -> viable/strict/1761691973 2025-12-04T08:56:59.0537270Z * [new tag] viable/strict/1761693884 -> viable/strict/1761693884 2025-12-04T08:56:59.0538763Z * [new tag] viable/strict/1761695389 -> viable/strict/1761695389 2025-12-04T08:56:59.0540141Z * [new tag] viable/strict/1761698408 -> viable/strict/1761698408 2025-12-04T08:56:59.0541435Z * [new tag] viable/strict/1761702931 -> viable/strict/1761702931 2025-12-04T08:56:59.0542793Z * [new tag] viable/strict/1761706307 -> viable/strict/1761706307 2025-12-04T08:56:59.0544157Z * [new tag] viable/strict/1761709065 -> viable/strict/1761709065 2025-12-04T08:56:59.0545599Z * [new tag] viable/strict/1761710285 -> viable/strict/1761710285 2025-12-04T08:56:59.0546979Z * [new tag] viable/strict/1761711983 -> viable/strict/1761711983 2025-12-04T08:56:59.0548400Z * [new tag] viable/strict/1761713514 -> viable/strict/1761713514 2025-12-04T08:56:59.0549849Z * [new tag] viable/strict/1761715523 -> viable/strict/1761715523 2025-12-04T08:56:59.0551241Z * [new tag] viable/strict/1761727973 -> viable/strict/1761727973 2025-12-04T08:56:59.0552633Z * [new tag] viable/strict/1761751558 -> viable/strict/1761751558 2025-12-04T08:56:59.0553993Z * [new tag] viable/strict/1761755187 -> viable/strict/1761755187 2025-12-04T08:56:59.0555355Z * [new tag] viable/strict/1761756826 -> viable/strict/1761756826 2025-12-04T08:56:59.0556731Z * [new tag] viable/strict/1761769551 -> viable/strict/1761769551 2025-12-04T08:56:59.0558185Z * [new tag] viable/strict/1761771032 -> viable/strict/1761771032 2025-12-04T08:56:59.0559508Z * [new tag] viable/strict/1761773101 -> viable/strict/1761773101 2025-12-04T08:56:59.0560851Z * [new tag] viable/strict/1761781792 -> viable/strict/1761781792 2025-12-04T08:56:59.0562225Z * [new tag] viable/strict/1761784788 -> viable/strict/1761784788 2025-12-04T08:56:59.0563585Z * [new tag] viable/strict/1761786740 -> viable/strict/1761786740 2025-12-04T08:56:59.0565027Z * [new tag] viable/strict/1761789332 -> viable/strict/1761789332 2025-12-04T08:56:59.0566669Z * [new tag] viable/strict/1761792569 -> viable/strict/1761792569 2025-12-04T08:56:59.0567998Z * [new tag] viable/strict/1761795289 -> viable/strict/1761795289 2025-12-04T08:56:59.0569374Z * [new tag] viable/strict/1761798345 -> viable/strict/1761798345 2025-12-04T08:56:59.0570707Z * [new tag] viable/strict/1761799827 -> viable/strict/1761799827 2025-12-04T08:56:59.0572518Z * [new tag] viable/strict/1761805604 -> viable/strict/1761805604 2025-12-04T08:56:59.0573862Z * [new tag] viable/strict/1761807202 -> viable/strict/1761807202 2025-12-04T08:56:59.0575228Z * [new tag] viable/strict/1761809094 -> viable/strict/1761809094 2025-12-04T08:56:59.0576591Z * [new tag] viable/strict/1761810576 -> viable/strict/1761810576 2025-12-04T08:56:59.0578028Z * [new tag] viable/strict/1761812771 -> viable/strict/1761812771 2025-12-04T08:56:59.0579474Z * [new tag] viable/strict/1761814363 -> viable/strict/1761814363 2025-12-04T08:56:59.0580777Z * [new tag] viable/strict/1761857410 -> viable/strict/1761857410 2025-12-04T08:56:59.0582124Z * [new tag] viable/strict/1761860985 -> viable/strict/1761860985 2025-12-04T08:56:59.0583497Z * [new tag] viable/strict/1761863094 -> viable/strict/1761863094 2025-12-04T08:56:59.0584842Z * [new tag] viable/strict/1761864590 -> viable/strict/1761864590 2025-12-04T08:56:59.0586166Z * [new tag] viable/strict/1761866675 -> viable/strict/1761866675 2025-12-04T08:56:59.0587662Z * [new tag] viable/strict/1761868178 -> viable/strict/1761868178 2025-12-04T08:56:59.0589028Z * [new tag] viable/strict/1761871111 -> viable/strict/1761871111 2025-12-04T08:56:59.0590370Z * [new tag] viable/strict/1761873126 -> viable/strict/1761873126 2025-12-04T08:56:59.0591801Z * [new tag] viable/strict/1761875714 -> viable/strict/1761875714 2025-12-04T08:56:59.0593208Z * [new tag] viable/strict/1761878924 -> viable/strict/1761878924 2025-12-04T08:56:59.0594639Z * [new tag] viable/strict/1761881727 -> viable/strict/1761881727 2025-12-04T08:56:59.0597472Z * [new tag] viable/strict/1761882959 -> viable/strict/1761882959 2025-12-04T08:56:59.0597644Z * [new tag] viable/strict/1761886268 -> viable/strict/1761886268 2025-12-04T08:56:59.0598607Z * [new tag] viable/strict/1761893641 -> viable/strict/1761893641 2025-12-04T08:56:59.0600131Z * [new tag] viable/strict/1761931517 -> viable/strict/1761931517 2025-12-04T08:56:59.0601452Z * [new tag] viable/strict/1761933080 -> viable/strict/1761933080 2025-12-04T08:56:59.0602829Z * [new tag] viable/strict/1761935217 -> viable/strict/1761935217 2025-12-04T08:56:59.0604253Z * [new tag] viable/strict/1761938533 -> viable/strict/1761938533 2025-12-04T08:56:59.0605725Z * [new tag] viable/strict/1761940184 -> viable/strict/1761940184 2025-12-04T08:56:59.0607016Z * [new tag] viable/strict/1761942338 -> viable/strict/1761942338 2025-12-04T08:56:59.0608383Z * [new tag] viable/strict/1761946100 -> viable/strict/1761946100 2025-12-04T08:56:59.0609840Z * [new tag] viable/strict/1761947374 -> viable/strict/1761947374 2025-12-04T08:56:59.0611227Z * [new tag] viable/strict/1761950978 -> viable/strict/1761950978 2025-12-04T08:56:59.0612701Z * [new tag] viable/strict/1761957727 -> viable/strict/1761957727 2025-12-04T08:56:59.0614668Z * [new tag] viable/strict/1761959532 -> viable/strict/1761959532 2025-12-04T08:56:59.0616284Z * [new tag] viable/strict/1761965366 -> viable/strict/1761965366 2025-12-04T08:56:59.0617740Z * [new tag] viable/strict/1761968066 -> viable/strict/1761968066 2025-12-04T08:56:59.0619197Z * [new tag] viable/strict/1761969322 -> viable/strict/1761969322 2025-12-04T08:56:59.0620595Z * [new tag] viable/strict/1761974723 -> viable/strict/1761974723 2025-12-04T08:56:59.0621957Z * [new tag] viable/strict/1761981837 -> viable/strict/1761981837 2025-12-04T08:56:59.0623436Z * [new tag] viable/strict/1761985546 -> viable/strict/1761985546 2025-12-04T08:56:59.0624782Z * [new tag] viable/strict/1761987030 -> viable/strict/1761987030 2025-12-04T08:56:59.0626161Z * [new tag] viable/strict/1762003554 -> viable/strict/1762003554 2025-12-04T08:56:59.0627528Z * [new tag] viable/strict/1762021560 -> viable/strict/1762021560 2025-12-04T08:56:59.0629047Z * [new tag] viable/strict/1762032190 -> viable/strict/1762032190 2025-12-04T08:56:59.0630373Z * [new tag] viable/strict/1762040981 -> viable/strict/1762040981 2025-12-04T08:56:59.0631729Z * [new tag] viable/strict/1762048525 -> viable/strict/1762048525 2025-12-04T08:56:59.0633162Z * [new tag] viable/strict/1762104223 -> viable/strict/1762104223 2025-12-04T08:56:59.0634507Z * [new tag] viable/strict/1762105778 -> viable/strict/1762105778 2025-12-04T08:56:59.0635878Z * [new tag] viable/strict/1762115109 -> viable/strict/1762115109 2025-12-04T08:56:59.0637316Z * [new tag] viable/strict/1762125840 -> viable/strict/1762125840 2025-12-04T08:56:59.0638619Z * [new tag] viable/strict/1762127377 -> viable/strict/1762127377 2025-12-04T08:56:59.0640166Z * [new tag] viable/strict/1762134925 -> viable/strict/1762134925 2025-12-04T08:56:59.0641477Z * [new tag] viable/strict/1762138338 -> viable/strict/1762138338 2025-12-04T08:56:59.0642899Z * [new tag] viable/strict/1762148993 -> viable/strict/1762148993 2025-12-04T08:56:59.0644384Z * [new tag] viable/strict/1762152871 -> viable/strict/1762152871 2025-12-04T08:56:59.0645740Z * [new tag] viable/strict/1762156183 -> viable/strict/1762156183 2025-12-04T08:56:59.0647131Z * [new tag] viable/strict/1762163457 -> viable/strict/1762163457 2025-12-04T08:56:59.0648498Z * [new tag] viable/strict/1762165569 -> viable/strict/1762165569 2025-12-04T08:56:59.0649861Z * [new tag] viable/strict/1762169035 -> viable/strict/1762169035 2025-12-04T08:56:59.0651240Z * [new tag] viable/strict/1762174936 -> viable/strict/1762174936 2025-12-04T08:56:59.0652571Z * [new tag] viable/strict/1762194412 -> viable/strict/1762194412 2025-12-04T08:56:59.0653905Z * [new tag] viable/strict/1762195876 -> viable/strict/1762195876 2025-12-04T08:56:59.0655281Z * [new tag] viable/strict/1762197788 -> viable/strict/1762197788 2025-12-04T08:56:59.0656706Z * [new tag] viable/strict/1762199389 -> viable/strict/1762199389 2025-12-04T08:56:59.0658280Z * [new tag] viable/strict/1762206585 -> viable/strict/1762206585 2025-12-04T08:56:59.0659724Z * [new tag] viable/strict/1762210184 -> viable/strict/1762210184 2025-12-04T08:56:59.0661011Z * [new tag] viable/strict/1762218736 -> viable/strict/1762218736 2025-12-04T08:56:59.0662752Z * [new tag] viable/strict/1762224529 -> viable/strict/1762224529 2025-12-04T08:56:59.0664177Z * [new tag] viable/strict/1762227253 -> viable/strict/1762227253 2025-12-04T08:56:59.0665455Z * [new tag] viable/strict/1762228515 -> viable/strict/1762228515 2025-12-04T08:56:59.0667002Z * [new tag] viable/strict/1762230349 -> viable/strict/1762230349 2025-12-04T08:56:59.0668307Z * [new tag] viable/strict/1762231859 -> viable/strict/1762231859 2025-12-04T08:56:59.0669670Z * [new tag] viable/strict/1762233925 -> viable/strict/1762233925 2025-12-04T08:56:59.0671207Z * [new tag] viable/strict/1762237630 -> viable/strict/1762237630 2025-12-04T08:56:59.0672489Z * [new tag] viable/strict/1762253522 -> viable/strict/1762253522 2025-12-04T08:56:59.0673911Z * [new tag] viable/strict/1762278588 -> viable/strict/1762278588 2025-12-04T08:56:59.0675250Z * [new tag] viable/strict/1762284203 -> viable/strict/1762284203 2025-12-04T08:56:59.0676664Z * [new tag] viable/strict/1762289446 -> viable/strict/1762289446 2025-12-04T08:56:59.0678021Z * [new tag] viable/strict/1762291515 -> viable/strict/1762291515 2025-12-04T08:56:59.0679404Z * [new tag] viable/strict/1762295100 -> viable/strict/1762295100 2025-12-04T08:56:59.0680663Z * [new tag] viable/strict/1762296590 -> viable/strict/1762296590 2025-12-04T08:56:59.0682013Z * [new tag] viable/strict/1762300179 -> viable/strict/1762300179 2025-12-04T08:56:59.0683247Z * [new tag] viable/strict/1762303207 -> viable/strict/1762303207 2025-12-04T08:56:59.0684611Z * [new tag] viable/strict/1762386584 -> viable/strict/1762386584 2025-12-04T08:56:59.0685974Z * [new tag] viable/strict/1762391537 -> viable/strict/1762391537 2025-12-04T08:56:59.0687235Z * [new tag] viable/strict/1762394119 -> viable/strict/1762394119 2025-12-04T08:56:59.0688863Z * [new tag] viable/strict/1762397437 -> viable/strict/1762397437 2025-12-04T08:56:59.0690231Z * [new tag] viable/strict/1762400256 -> viable/strict/1762400256 2025-12-04T08:56:59.0691595Z * [new tag] viable/strict/1762401469 -> viable/strict/1762401469 2025-12-04T08:56:59.0692956Z * [new tag] viable/strict/1762408195 -> viable/strict/1762408195 2025-12-04T08:56:59.0694460Z * [new tag] viable/strict/1762410411 -> viable/strict/1762410411 2025-12-04T08:56:59.0695850Z * [new tag] viable/strict/1762417613 -> viable/strict/1762417613 2025-12-04T08:56:59.0697216Z * [new tag] viable/strict/1762419198 -> viable/strict/1762419198 2025-12-04T08:56:59.0698678Z * [new tag] viable/strict/1762422656 -> viable/strict/1762422656 2025-12-04T08:56:59.0700313Z * [new tag] viable/strict/1762424746 -> viable/strict/1762424746 2025-12-04T08:56:59.0701739Z * [new tag] viable/strict/1762446386 -> viable/strict/1762446386 2025-12-04T08:56:59.0703118Z * [new tag] viable/strict/1762449912 -> viable/strict/1762449912 2025-12-04T08:56:59.0704501Z * [new tag] viable/strict/1762457031 -> viable/strict/1762457031 2025-12-04T08:56:59.0705916Z * [new tag] viable/strict/1762462441 -> viable/strict/1762462441 2025-12-04T08:56:59.0707250Z * [new tag] viable/strict/1762467909 -> viable/strict/1762467909 2025-12-04T08:56:59.0708699Z * [new tag] viable/strict/1762471493 -> viable/strict/1762471493 2025-12-04T08:56:59.0710063Z * [new tag] viable/strict/1762475990 -> viable/strict/1762475990 2025-12-04T08:56:59.0711610Z * [new tag] viable/strict/1762477933 -> viable/strict/1762477933 2025-12-04T08:56:59.0713265Z * [new tag] viable/strict/1762491053 -> viable/strict/1762491053 2025-12-04T08:56:59.0714729Z * [new tag] viable/strict/1762493118 -> viable/strict/1762493118 2025-12-04T08:56:59.0716126Z * [new tag] viable/strict/1762498442 -> viable/strict/1762498442 2025-12-04T08:56:59.0717681Z * [new tag] viable/strict/1762501778 -> viable/strict/1762501778 2025-12-04T08:56:59.0718793Z * [new tag] viable/strict/1762504001 -> viable/strict/1762504001 2025-12-04T08:56:59.0720286Z * [new tag] viable/strict/1762505583 -> viable/strict/1762505583 2025-12-04T08:56:59.0721761Z * [new tag] viable/strict/1762507523 -> viable/strict/1762507523 2025-12-04T08:56:59.0723184Z * [new tag] viable/strict/1762511140 -> viable/strict/1762511140 2025-12-04T08:56:59.0724641Z * [new tag] viable/strict/1762512632 -> viable/strict/1762512632 2025-12-04T08:56:59.0726020Z * [new tag] viable/strict/1762520467 -> viable/strict/1762520467 2025-12-04T08:56:59.0727670Z * [new tag] viable/strict/1762522016 -> viable/strict/1762522016 2025-12-04T08:56:59.0729044Z * [new tag] viable/strict/1762530591 -> viable/strict/1762530591 2025-12-04T08:56:59.0730428Z * [new tag] viable/strict/1762543405 -> viable/strict/1762543405 2025-12-04T08:56:59.0731663Z * [new tag] viable/strict/1762544998 -> viable/strict/1762544998 2025-12-04T08:56:59.0733034Z * [new tag] viable/strict/1762552182 -> viable/strict/1762552182 2025-12-04T08:56:59.0734380Z * [new tag] viable/strict/1762554297 -> viable/strict/1762554297 2025-12-04T08:56:59.0735623Z * [new tag] viable/strict/1762559381 -> viable/strict/1762559381 2025-12-04T08:56:59.0737002Z * [new tag] viable/strict/1762562222 -> viable/strict/1762562222 2025-12-04T08:56:59.0738508Z * [new tag] viable/strict/1762564319 -> viable/strict/1762564319 2025-12-04T08:56:59.0739623Z * [new tag] viable/strict/1762566904 -> viable/strict/1762566904 2025-12-04T08:56:59.0741025Z * [new tag] viable/strict/1762569781 -> viable/strict/1762569781 2025-12-04T08:56:59.0742417Z * [new tag] viable/strict/1762575940 -> viable/strict/1762575940 2025-12-04T08:56:59.0743795Z * [new tag] viable/strict/1762580974 -> viable/strict/1762580974 2025-12-04T08:56:59.0745191Z * [new tag] viable/strict/1762583185 -> viable/strict/1762583185 2025-12-04T08:56:59.0746569Z * [new tag] viable/strict/1762586647 -> viable/strict/1762586647 2025-12-04T08:56:59.0747969Z * [new tag] viable/strict/1762588183 -> viable/strict/1762588183 2025-12-04T08:56:59.0749383Z * [new tag] viable/strict/1762593886 -> viable/strict/1762593886 2025-12-04T08:56:59.0750758Z * [new tag] viable/strict/1762650743 -> viable/strict/1762650743 2025-12-04T08:56:59.0752587Z * [new tag] viable/strict/1762653328 -> viable/strict/1762653328 2025-12-04T08:56:59.0753970Z * [new tag] viable/strict/1762659342 -> viable/strict/1762659342 2025-12-04T08:56:59.0755361Z * [new tag] viable/strict/1762662360 -> viable/strict/1762662360 2025-12-04T08:56:59.0756727Z * [new tag] viable/strict/1762667377 -> viable/strict/1762667377 2025-12-04T08:56:59.0758178Z * [new tag] viable/strict/1762671090 -> viable/strict/1762671090 2025-12-04T08:56:59.0759412Z * [new tag] viable/strict/1762680284 -> viable/strict/1762680284 2025-12-04T08:56:59.0760876Z * [new tag] viable/strict/1762683900 -> viable/strict/1762683900 2025-12-04T08:56:59.0762210Z * [new tag] viable/strict/1762705541 -> viable/strict/1762705541 2025-12-04T08:56:59.0763564Z * [new tag] viable/strict/1762709004 -> viable/strict/1762709004 2025-12-04T08:56:59.0764924Z * [new tag] viable/strict/1762746004 -> viable/strict/1762746004 2025-12-04T08:56:59.0766321Z * [new tag] viable/strict/1762748799 -> viable/strict/1762748799 2025-12-04T08:56:59.0767833Z * [new tag] viable/strict/1762759504 -> viable/strict/1762759504 2025-12-04T08:56:59.0769183Z * [new tag] viable/strict/1762760973 -> viable/strict/1762760973 2025-12-04T08:56:59.0770530Z * [new tag] viable/strict/1762775374 -> viable/strict/1762775374 2025-12-04T08:56:59.0771987Z * [new tag] viable/strict/1762777661 -> viable/strict/1762777661 2025-12-04T08:56:59.0773350Z * [new tag] viable/strict/1762779774 -> viable/strict/1762779774 2025-12-04T08:56:59.0774869Z * [new tag] viable/strict/1762781259 -> viable/strict/1762781259 2025-12-04T08:56:59.0776334Z * [new tag] viable/strict/1762793628 -> viable/strict/1762793628 2025-12-04T08:56:59.0777766Z * [new tag] viable/strict/1762800711 -> viable/strict/1762800711 2025-12-04T08:56:59.0779270Z * [new tag] viable/strict/1762809894 -> viable/strict/1762809894 2025-12-04T08:56:59.0780611Z * [new tag] viable/strict/1762811384 -> viable/strict/1762811384 2025-12-04T08:56:59.0782069Z * [new tag] viable/strict/1762813841 -> viable/strict/1762813841 2025-12-04T08:56:59.0783523Z * [new tag] viable/strict/1762815047 -> viable/strict/1762815047 2025-12-04T08:56:59.0785026Z * [new tag] viable/strict/1762817094 -> viable/strict/1762817094 2025-12-04T08:56:59.0786400Z * [new tag] viable/strict/1762818582 -> viable/strict/1762818582 2025-12-04T08:56:59.0787799Z * [new tag] viable/strict/1762821623 -> viable/strict/1762821623 2025-12-04T08:56:59.0789061Z * [new tag] viable/strict/1762823531 -> viable/strict/1762823531 2025-12-04T08:56:59.0790457Z * [new tag] viable/strict/1762849583 -> viable/strict/1762849583 2025-12-04T08:56:59.0791816Z * [new tag] viable/strict/1762851200 -> viable/strict/1762851200 2025-12-04T08:56:59.0793151Z * [new tag] viable/strict/1762854603 -> viable/strict/1762854603 2025-12-04T08:56:59.0794641Z * [new tag] viable/strict/1762858276 -> viable/strict/1762858276 2025-12-04T08:56:59.0796035Z * [new tag] viable/strict/1762860891 -> viable/strict/1762860891 2025-12-04T08:56:59.0797835Z * [new tag] viable/strict/1762866174 -> viable/strict/1762866174 2025-12-04T08:56:59.0799256Z * [new tag] viable/strict/1762867653 -> viable/strict/1762867653 2025-12-04T08:56:59.0800682Z * [new tag] viable/strict/1762872669 -> viable/strict/1762872669 2025-12-04T08:56:59.0801920Z * [new tag] viable/strict/1762878380 -> viable/strict/1762878380 2025-12-04T08:56:59.0803337Z * [new tag] viable/strict/1762889003 -> viable/strict/1762889003 2025-12-04T08:56:59.0804746Z * [new tag] viable/strict/1762890589 -> viable/strict/1762890589 2025-12-04T08:56:59.0806118Z * [new tag] viable/strict/1762892743 -> viable/strict/1762892743 2025-12-04T08:56:59.0807451Z * [new tag] viable/strict/1762894271 -> viable/strict/1762894271 2025-12-04T08:56:59.0808701Z * [new tag] viable/strict/1762896287 -> viable/strict/1762896287 2025-12-04T08:56:59.0810121Z * [new tag] viable/strict/1762915871 -> viable/strict/1762915871 2025-12-04T08:56:59.0811565Z * [new tag] viable/strict/1762918569 -> viable/strict/1762918569 2025-12-04T08:56:59.0813030Z * [new tag] viable/strict/1762919776 -> viable/strict/1762919776 2025-12-04T08:56:59.0814758Z * [new tag] viable/strict/1762923072 -> viable/strict/1762923072 2025-12-04T08:56:59.0816183Z * [new tag] viable/strict/1762928826 -> viable/strict/1762928826 2025-12-04T08:56:59.0817748Z * [new tag] viable/strict/1762930451 -> viable/strict/1762930451 2025-12-04T08:56:59.0819380Z * [new tag] viable/strict/1762933780 -> viable/strict/1762933780 2025-12-04T08:56:59.0820677Z * [new tag] viable/strict/1762937638 -> viable/strict/1762937638 2025-12-04T08:56:59.0822143Z * [new tag] viable/strict/1762939545 -> viable/strict/1762939545 2025-12-04T08:56:59.0823535Z * [new tag] viable/strict/1762962692 -> viable/strict/1762962692 2025-12-04T08:56:59.0824883Z * [new tag] viable/strict/1762979143 -> viable/strict/1762979143 2025-12-04T08:56:59.0826250Z * [new tag] viable/strict/1762984188 -> viable/strict/1762984188 2025-12-04T08:56:59.0827515Z * [new tag] viable/strict/1762986306 -> viable/strict/1762986306 2025-12-04T08:56:59.0828901Z * [new tag] viable/strict/1762989903 -> viable/strict/1762989903 2025-12-04T08:56:59.0830231Z * [new tag] viable/strict/1762991377 -> viable/strict/1762991377 2025-12-04T08:56:59.0831652Z * [new tag] viable/strict/1762998921 -> viable/strict/1762998921 2025-12-04T08:56:59.0833106Z * [new tag] viable/strict/1763002287 -> viable/strict/1763002287 2025-12-04T08:56:59.0834510Z * [new tag] viable/strict/1763016840 -> viable/strict/1763016840 2025-12-04T08:56:59.0835887Z * [new tag] viable/strict/1763020180 -> viable/strict/1763020180 2025-12-04T08:56:59.0837342Z * [new tag] viable/strict/1763027421 -> viable/strict/1763027421 2025-12-04T08:56:59.0838752Z * [new tag] viable/strict/1763031120 -> viable/strict/1763031120 2025-12-04T08:56:59.0840139Z * [new tag] viable/strict/1763036861 -> viable/strict/1763036861 2025-12-04T08:56:59.0841539Z * [new tag] viable/strict/1763038993 -> viable/strict/1763038993 2025-12-04T08:56:59.0843397Z * [new tag] viable/strict/1763054703 -> viable/strict/1763054703 2025-12-04T08:56:59.0844708Z * [new tag] viable/strict/1763067061 -> viable/strict/1763067061 2025-12-04T08:56:59.0846025Z * [new tag] viable/strict/1763070847 -> viable/strict/1763070847 2025-12-04T08:56:59.0847385Z * [new tag] viable/strict/1763072706 -> viable/strict/1763072706 2025-12-04T08:56:59.0848811Z * [new tag] viable/strict/1763076302 -> viable/strict/1763076302 2025-12-04T08:56:59.0850177Z * [new tag] viable/strict/1763080816 -> viable/strict/1763080816 2025-12-04T08:56:59.0851708Z * [new tag] viable/strict/1763082732 -> viable/strict/1763082732 2025-12-04T08:56:59.0853099Z * [new tag] viable/strict/1763085329 -> viable/strict/1763085329 2025-12-04T08:56:59.0854452Z * [new tag] viable/strict/1763088623 -> viable/strict/1763088623 2025-12-04T08:56:59.0855920Z * [new tag] viable/strict/1763091402 -> viable/strict/1763091402 2025-12-04T08:56:59.0857325Z * [new tag] viable/strict/1763092602 -> viable/strict/1763092602 2025-12-04T08:56:59.0858868Z * [new tag] viable/strict/1763094355 -> viable/strict/1763094355 2025-12-04T08:56:59.0860224Z * [new tag] viable/strict/1763099390 -> viable/strict/1763099390 2025-12-04T08:56:59.0861594Z * [new tag] viable/strict/1763101608 -> viable/strict/1763101608 2025-12-04T08:56:59.0863051Z * [new tag] viable/strict/1763105102 -> viable/strict/1763105102 2025-12-04T08:56:59.0864467Z * [new tag] viable/strict/1763112347 -> viable/strict/1763112347 2025-12-04T08:56:59.0865844Z * [new tag] viable/strict/1763119471 -> viable/strict/1763119471 2025-12-04T08:56:59.0867122Z * [new tag] viable/strict/1763126835 -> viable/strict/1763126835 2025-12-04T08:56:59.0868376Z * [new tag] viable/strict/1763149779 -> viable/strict/1763149779 2025-12-04T08:56:59.0869813Z * [new tag] viable/strict/1763164178 -> viable/strict/1763164178 2025-12-04T08:56:59.0871090Z * [new tag] viable/strict/1763167104 -> viable/strict/1763167104 2025-12-04T08:56:59.0872435Z * [new tag] viable/strict/1763169132 -> viable/strict/1763169132 2025-12-04T08:56:59.0873760Z * [new tag] viable/strict/1763171708 -> viable/strict/1763171708 2025-12-04T08:56:59.0875108Z * [new tag] viable/strict/1763174759 -> viable/strict/1763174759 2025-12-04T08:56:59.0876571Z * [new tag] viable/strict/1763180744 -> viable/strict/1763180744 2025-12-04T08:56:59.0877982Z * [new tag] viable/strict/1763182227 -> viable/strict/1763182227 2025-12-04T08:56:59.0879304Z * [new tag] viable/strict/1763184309 -> viable/strict/1763184309 2025-12-04T08:56:59.0881043Z * [new tag] viable/strict/1763187991 -> viable/strict/1763187991 2025-12-04T08:56:59.0882528Z * [new tag] viable/strict/1763191445 -> viable/strict/1763191445 2025-12-04T08:56:59.0884007Z * [new tag] viable/strict/1763195152 -> viable/strict/1763195152 2025-12-04T08:56:59.0885272Z * [new tag] viable/strict/1763205769 -> viable/strict/1763205769 2025-12-04T08:56:59.0886611Z * [new tag] viable/strict/1763246990 -> viable/strict/1763246990 2025-12-04T08:56:59.0888092Z * [new tag] viable/strict/1763261578 -> viable/strict/1763261578 2025-12-04T08:56:59.0889411Z * [new tag] viable/strict/1763286573 -> viable/strict/1763286573 2025-12-04T08:56:59.0890679Z * [new tag] viable/strict/1763292167 -> viable/strict/1763292167 2025-12-04T08:56:59.0892014Z * [new tag] viable/strict/1763333386 -> viable/strict/1763333386 2025-12-04T08:56:59.0893409Z * [new tag] viable/strict/1763340082 -> viable/strict/1763340082 2025-12-04T08:56:59.0895382Z * [new tag] viable/strict/1763364324 -> viable/strict/1763364324 2025-12-04T08:56:59.0896674Z * [new tag] viable/strict/1763371569 -> viable/strict/1763371569 2025-12-04T08:56:59.0898107Z * [new tag] viable/strict/1763373067 -> viable/strict/1763373067 2025-12-04T08:56:59.0899530Z * [new tag] viable/strict/1763375157 -> viable/strict/1763375157 2025-12-04T08:56:59.0900945Z * [new tag] viable/strict/1763382462 -> viable/strict/1763382462 2025-12-04T08:56:59.0902266Z * [new tag] viable/strict/1763394661 -> viable/strict/1763394661 2025-12-04T08:56:59.0903840Z * [new tag] viable/strict/1763396797 -> viable/strict/1763396797 2025-12-04T08:56:59.0905229Z * [new tag] viable/strict/1763398542 -> viable/strict/1763398542 2025-12-04T08:56:59.0906663Z * [new tag] viable/strict/1763401807 -> viable/strict/1763401807 2025-12-04T08:56:59.0907969Z * [new tag] viable/strict/1763414698 -> viable/strict/1763414698 2025-12-04T08:56:59.0909360Z * [new tag] viable/strict/1763419807 -> viable/strict/1763419807 2025-12-04T08:56:59.0910765Z * [new tag] viable/strict/1763426369 -> viable/strict/1763426369 2025-12-04T08:56:59.0912297Z * [new tag] viable/strict/1763428331 -> viable/strict/1763428331 2025-12-04T08:56:59.0913844Z * [new tag] viable/strict/1763430922 -> viable/strict/1763430922 2025-12-04T08:56:59.0915081Z * [new tag] viable/strict/1763434184 -> viable/strict/1763434184 2025-12-04T08:56:59.0916415Z * [new tag] viable/strict/1763439973 -> viable/strict/1763439973 2025-12-04T08:56:59.0917829Z * [new tag] viable/strict/1763444995 -> viable/strict/1763444995 2025-12-04T08:56:59.0919350Z * [new tag] viable/strict/1763447206 -> viable/strict/1763447206 2025-12-04T08:56:59.0920763Z * [new tag] viable/strict/1763448826 -> viable/strict/1763448826 2025-12-04T08:56:59.0922176Z * [new tag] viable/strict/1763450717 -> viable/strict/1763450717 2025-12-04T08:56:59.0923549Z * [new tag] viable/strict/1763452183 -> viable/strict/1763452183 2025-12-04T08:56:59.0924962Z * [new tag] viable/strict/1763457945 -> viable/strict/1763457945 2025-12-04T08:56:59.0926345Z * [new tag] viable/strict/1763459439 -> viable/strict/1763459439 2025-12-04T08:56:59.0927582Z * [new tag] viable/strict/1763461556 -> viable/strict/1763461556 2025-12-04T08:56:59.0928968Z * [new tag] viable/strict/1763463103 -> viable/strict/1763463103 2025-12-04T08:56:59.0930369Z * [new tag] viable/strict/1763465100 -> viable/strict/1763465100 2025-12-04T08:56:59.0931605Z * [new tag] viable/strict/1763468866 -> viable/strict/1763468866 2025-12-04T08:56:59.0933230Z * [new tag] viable/strict/1763493823 -> viable/strict/1763493823 2025-12-04T08:56:59.0934475Z * [new tag] viable/strict/1763496249 -> viable/strict/1763496249 2025-12-04T08:56:59.0935862Z * [new tag] viable/strict/1763502620 -> viable/strict/1763502620 2025-12-04T08:56:59.0937267Z * [new tag] viable/strict/1763504715 -> viable/strict/1763504715 2025-12-04T08:56:59.0938807Z * [new tag] viable/strict/1763506208 -> viable/strict/1763506208 2025-12-04T08:56:59.0940196Z * [new tag] viable/strict/1763520590 -> viable/strict/1763520590 2025-12-04T08:56:59.0941623Z * [new tag] viable/strict/1763523357 -> viable/strict/1763523357 2025-12-04T08:56:59.0943017Z * [new tag] viable/strict/1763529922 -> viable/strict/1763529922 2025-12-04T08:56:59.0944440Z * [new tag] viable/strict/1763531408 -> viable/strict/1763531408 2025-12-04T08:56:59.0945827Z * [new tag] viable/strict/1763533622 -> viable/strict/1763533622 2025-12-04T08:56:59.0947202Z * [new tag] viable/strict/1763538576 -> viable/strict/1763538576 2025-12-04T08:56:59.0948629Z * [new tag] viable/strict/1763545823 -> viable/strict/1763545823 2025-12-04T08:56:59.0949900Z * [new tag] viable/strict/1763547951 -> viable/strict/1763547951 2025-12-04T08:56:59.0951360Z * [new tag] viable/strict/1763551477 -> viable/strict/1763551477 2025-12-04T08:56:59.0952778Z * [new tag] viable/strict/1763552982 -> viable/strict/1763552982 2025-12-04T08:56:59.0954141Z * [new tag] viable/strict/1763594698 -> viable/strict/1763594698 2025-12-04T08:56:59.0955608Z * [new tag] viable/strict/1763596178 -> viable/strict/1763596178 2025-12-04T08:56:59.0957045Z * [new tag] viable/strict/1763599155 -> viable/strict/1763599155 2025-12-04T08:56:59.0958370Z * [new tag] viable/strict/1763603717 -> viable/strict/1763603717 2025-12-04T08:56:59.0959748Z * [new tag] viable/strict/1763606923 -> viable/strict/1763606923 2025-12-04T08:56:59.0961158Z * [new tag] viable/strict/1763609715 -> viable/strict/1763609715 2025-12-04T08:56:59.0962517Z * [new tag] viable/strict/1763612757 -> viable/strict/1763612757 2025-12-04T08:56:59.0963912Z * [new tag] viable/strict/1763616325 -> viable/strict/1763616325 2025-12-04T08:56:59.0965280Z * [new tag] viable/strict/1763623509 -> viable/strict/1763623509 2025-12-04T08:56:59.0966752Z * [new tag] viable/strict/1763624984 -> viable/strict/1763624984 2025-12-04T08:56:59.0968118Z * [new tag] viable/strict/1763628796 -> viable/strict/1763628796 2025-12-04T08:56:59.0969576Z * [new tag] viable/strict/1763634343 -> viable/strict/1763634343 2025-12-04T08:56:59.0970836Z * [new tag] viable/strict/1763635867 -> viable/strict/1763635867 2025-12-04T08:56:59.0972356Z * [new tag] viable/strict/1763639382 -> viable/strict/1763639382 2025-12-04T08:56:59.0973732Z * [new tag] viable/strict/1763646626 -> viable/strict/1763646626 2025-12-04T08:56:59.0975225Z * [new tag] viable/strict/1763655997 -> viable/strict/1763655997 2025-12-04T08:56:59.0976616Z * [new tag] viable/strict/1763659444 -> viable/strict/1763659444 2025-12-04T08:56:59.0978021Z * [new tag] viable/strict/1763660992 -> viable/strict/1763660992 2025-12-04T08:56:59.0979408Z * [new tag] viable/strict/1763663201 -> viable/strict/1763663201 2025-12-04T08:56:59.0980851Z * [new tag] viable/strict/1763670362 -> viable/strict/1763670362 2025-12-04T08:56:59.0982092Z * [new tag] viable/strict/1763675378 -> viable/strict/1763675378 2025-12-04T08:56:59.0983448Z * [new tag] viable/strict/1763693343 -> viable/strict/1763693343 2025-12-04T08:56:59.0984775Z * [new tag] viable/strict/1763696088 -> viable/strict/1763696088 2025-12-04T08:56:59.0986255Z * [new tag] viable/strict/1763697343 -> viable/strict/1763697343 2025-12-04T08:56:59.0987641Z * [new tag] viable/strict/1763699165 -> viable/strict/1763699165 2025-12-04T08:56:59.0989051Z * [new tag] viable/strict/1763700660 -> viable/strict/1763700660 2025-12-04T08:56:59.0990399Z * [new tag] viable/strict/1763704209 -> viable/strict/1763704209 2025-12-04T08:56:59.0991787Z * [new tag] viable/strict/1763706411 -> viable/strict/1763706411 2025-12-04T08:56:59.0993148Z * [new tag] viable/strict/1763708082 -> viable/strict/1763708082 2025-12-04T08:56:59.0994438Z * [new tag] viable/strict/1763711381 -> viable/strict/1763711381 2025-12-04T08:56:59.0995734Z * [new tag] viable/strict/1763713593 -> viable/strict/1763713593 2025-12-04T08:56:59.0997206Z * [new tag] viable/strict/1763715201 -> viable/strict/1763715201 2025-12-04T08:56:59.0998572Z * [new tag] viable/strict/1763733017 -> viable/strict/1763733017 2025-12-04T08:56:59.1000148Z * [new tag] viable/strict/1763735108 -> viable/strict/1763735108 2025-12-04T08:56:59.1001537Z * [new tag] viable/strict/1763749579 -> viable/strict/1763749579 2025-12-04T08:56:59.1002874Z * [new tag] viable/strict/1763751113 -> viable/strict/1763751113 2025-12-04T08:56:59.1004246Z * [new tag] viable/strict/1763753035 -> viable/strict/1763753035 2025-12-04T08:56:59.1005583Z * [new tag] viable/strict/1763754578 -> viable/strict/1763754578 2025-12-04T08:56:59.1007077Z * [new tag] viable/strict/1763756748 -> viable/strict/1763756748 2025-12-04T08:56:59.1008447Z * [new tag] viable/strict/1763758205 -> viable/strict/1763758205 2025-12-04T08:56:59.1009685Z * [new tag] viable/strict/1763764050 -> viable/strict/1763764050 2025-12-04T08:56:59.1011130Z * [new tag] viable/strict/1763771887 -> viable/strict/1763771887 2025-12-04T08:56:59.1012747Z * [new tag] viable/strict/1763773920 -> viable/strict/1763773920 2025-12-04T08:56:59.1014282Z * [new tag] viable/strict/1763776501 -> viable/strict/1763776501 2025-12-04T08:56:59.1015674Z * [new tag] viable/strict/1763779437 -> viable/strict/1763779437 2025-12-04T08:56:59.1017196Z * [new tag] viable/strict/1763781038 -> viable/strict/1763781038 2025-12-04T08:56:59.1018555Z * [new tag] viable/strict/1763782245 -> viable/strict/1763782245 2025-12-04T08:56:59.1020128Z * [new tag] viable/strict/1763785568 -> viable/strict/1763785568 2025-12-04T08:56:59.1021338Z * [new tag] viable/strict/1763787006 -> viable/strict/1763787006 2025-12-04T08:56:59.1023127Z * [new tag] viable/strict/1763789103 -> viable/strict/1763789103 2025-12-04T08:56:59.1024530Z * [new tag] viable/strict/1763790578 -> viable/strict/1763790578 2025-12-04T08:56:59.1025933Z * [new tag] viable/strict/1763796275 -> viable/strict/1763796275 2025-12-04T08:56:59.1027484Z * [new tag] viable/strict/1763801465 -> viable/strict/1763801465 2025-12-04T08:56:59.1028823Z * [new tag] viable/strict/1763803522 -> viable/strict/1763803522 2025-12-04T08:56:59.1030657Z * [new tag] viable/strict/1763808581 -> viable/strict/1763808581 2025-12-04T08:56:59.1031413Z * [new tag] viable/strict/1763840977 -> viable/strict/1763840977 2025-12-04T08:56:59.1032922Z * [new tag] viable/strict/1763846659 -> viable/strict/1763846659 2025-12-04T08:56:59.1034251Z * [new tag] viable/strict/1763872065 -> viable/strict/1763872065 2025-12-04T08:56:59.1035665Z * [new tag] viable/strict/1763873648 -> viable/strict/1763873648 2025-12-04T08:56:59.1037297Z * [new tag] viable/strict/1763875506 -> viable/strict/1763875506 2025-12-04T08:56:59.1038235Z * [new tag] viable/strict/1763889904 -> viable/strict/1763889904 2025-12-04T08:56:59.1039681Z * [new tag] viable/strict/1763930999 -> viable/strict/1763930999 2025-12-04T08:56:59.1041054Z * [new tag] viable/strict/1763944964 -> viable/strict/1763944964 2025-12-04T08:56:59.1042359Z * [new tag] viable/strict/1763958474 -> viable/strict/1763958474 2025-12-04T08:56:59.1043741Z * [new tag] viable/strict/1763967263 -> viable/strict/1763967263 2025-12-04T08:56:59.1045077Z * [new tag] viable/strict/1763972803 -> viable/strict/1763972803 2025-12-04T08:56:59.1046402Z * [new tag] viable/strict/1763976376 -> viable/strict/1763976376 2025-12-04T08:56:59.1047771Z * [new tag] viable/strict/1763989404 -> viable/strict/1763989404 2025-12-04T08:56:59.1049173Z * [new tag] viable/strict/1763990887 -> viable/strict/1763990887 2025-12-04T08:56:59.1050519Z * [new tag] viable/strict/1764019919 -> viable/strict/1764019919 2025-12-04T08:56:59.1051917Z * [new tag] viable/strict/1764023134 -> viable/strict/1764023134 2025-12-04T08:56:59.1053148Z * [new tag] viable/strict/1764024593 -> viable/strict/1764024593 2025-12-04T08:56:59.1054493Z * [new tag] viable/strict/1764026706 -> viable/strict/1764026706 2025-12-04T08:56:59.1055993Z * [new tag] viable/strict/1764031139 -> viable/strict/1764031139 2025-12-04T08:56:59.1057400Z * [new tag] viable/strict/1764033131 -> viable/strict/1764033131 2025-12-04T08:56:59.1058895Z * [new tag] viable/strict/1764035725 -> viable/strict/1764035725 2025-12-04T08:56:59.1060095Z * [new tag] viable/strict/1764624265 -> viable/strict/1764624265 2025-12-04T08:56:59.1061338Z * [new tag] viable/strict/1764631514 -> viable/strict/1764631514 2025-12-04T08:56:59.1062542Z * [new tag] viable/strict/1764632987 -> viable/strict/1764632987 2025-12-04T08:56:59.1063779Z * [new tag] viable/strict/1764636063 -> viable/strict/1764636063 2025-12-04T08:56:59.1064984Z * [new tag] viable/strict/1764643975 -> viable/strict/1764643975 2025-12-04T08:56:59.1066204Z * [new tag] viable/strict/1764646859 -> viable/strict/1764646859 2025-12-04T08:56:59.1067420Z * [new tag] viable/strict/1764653120 -> viable/strict/1764653120 2025-12-04T08:56:59.1068761Z * [new tag] viable/strict/1764654632 -> viable/strict/1764654632 2025-12-04T08:56:59.1069773Z * [new tag] viable/strict/1764656821 -> viable/strict/1764656821 2025-12-04T08:56:59.1071043Z * [new tag] viable/strict/1764658557 -> viable/strict/1764658557 2025-12-04T08:56:59.1072276Z * [new tag] viable/strict/1764660333 -> viable/strict/1764660333 2025-12-04T08:56:59.1073505Z * [new tag] viable/strict/1764661812 -> viable/strict/1764661812 2025-12-04T08:56:59.1074736Z * [new tag] viable/strict/1764664023 -> viable/strict/1764664023 2025-12-04T08:56:59.1075954Z * [new tag] viable/strict/1764669150 -> viable/strict/1764669150 2025-12-04T08:56:59.1077218Z * [new tag] viable/strict/1764680709 -> viable/strict/1764680709 2025-12-04T08:56:59.1078460Z * [new tag] viable/strict/1764687619 -> viable/strict/1764687619 2025-12-04T08:56:59.1079676Z * [new tag] viable/strict/1764696355 -> viable/strict/1764696355 2025-12-04T08:56:59.1080887Z * [new tag] viable/strict/1764701767 -> viable/strict/1764701767 2025-12-04T08:56:59.1082093Z * [new tag] viable/strict/1764710768 -> viable/strict/1764710768 2025-12-04T08:56:59.1083397Z * [new tag] viable/strict/1764716202 -> viable/strict/1764716202 2025-12-04T08:56:59.1084622Z * [new tag] viable/strict/1764793566 -> viable/strict/1764793566 2025-12-04T08:56:59.1085775Z * [new tag] viable/strict/1764797093 -> viable/strict/1764797093 2025-12-04T08:56:59.1087011Z * [new tag] viable/strict/1764800729 -> viable/strict/1764800729 2025-12-04T08:56:59.1088369Z * [new tag] whc_flight_1 -> whc_flight_1 2025-12-04T08:56:59.1089724Z * [new tag] whc_flight_2 -> whc_flight_2 2025-12-04T08:56:59.1091136Z * [new tag] whc_flight_4 -> whc_flight_4 2025-12-04T08:56:59.1933800Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object} 2025-12-04T08:56:59.1961866Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:56:59.1966610Z ##[endgroup] 2025-12-04T08:56:59.1967002Z ##[group]Determining the checkout info 2025-12-04T08:56:59.1968096Z ##[endgroup] 2025-12-04T08:56:59.1972297Z [command]/usr/bin/git sparse-checkout disable 2025-12-04T08:56:59.2006708Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-12-04T08:56:59.2033740Z ##[group]Checking out the ref 2025-12-04T08:56:59.2037755Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:57:00.2469627Z Updating files: 75% (15192/20121) 2025-12-04T08:57:00.2623123Z Updating files: 76% (15292/20121) 2025-12-04T08:57:00.2769853Z Updating files: 77% (15494/20121) 2025-12-04T08:57:00.2977693Z Updating files: 78% (15695/20121) 2025-12-04T08:57:00.3230817Z Updating files: 79% (15896/20121) 2025-12-04T08:57:00.3534696Z Updating files: 80% (16097/20121) 2025-12-04T08:57:00.3810367Z Updating files: 81% (16299/20121) 2025-12-04T08:57:00.4029669Z Updating files: 82% (16500/20121) 2025-12-04T08:57:00.4194811Z Updating files: 83% (16701/20121) 2025-12-04T08:57:00.4347723Z Updating files: 84% (16902/20121) 2025-12-04T08:57:00.4519324Z Updating files: 85% (17103/20121) 2025-12-04T08:57:00.4686554Z Updating files: 86% 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Note: switching to 'ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32'. 2025-12-04T08:57:00.7203126Z 2025-12-04T08:57:00.7203343Z You are in 'detached HEAD' state. You can look around, make experimental 2025-12-04T08:57:00.7203841Z changes and commit them, and you can discard any commits you make in this 2025-12-04T08:57:00.7204318Z state without impacting any branches by switching back to a branch. 2025-12-04T08:57:00.7204616Z 2025-12-04T08:57:00.7204800Z If you want to create a new branch to retain commits you create, you may 2025-12-04T08:57:00.7205278Z do so (now or later) by using -c with the switch command. Example: 2025-12-04T08:57:00.7205549Z 2025-12-04T08:57:00.7205667Z git switch -c 2025-12-04T08:57:00.7205844Z 2025-12-04T08:57:00.7205946Z Or undo this operation with: 2025-12-04T08:57:00.7206111Z 2025-12-04T08:57:00.7206193Z git switch - 2025-12-04T08:57:00.7206298Z 2025-12-04T08:57:00.7206468Z Turn off this advice by setting config variable advice.detachedHead to false 2025-12-04T08:57:00.7206714Z 2025-12-04T08:57:00.7206908Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919) 2025-12-04T08:57:00.7329999Z ##[endgroup] 2025-12-04T08:57:00.7330764Z ##[group]Setting up auth for fetching submodules 2025-12-04T08:57:00.7339705Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T08:57:00.7393824Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-12-04T08:57:00.7422852Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-12-04T08:57:00.7450592Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-12-04T08:57:00.7477618Z ##[endgroup] 2025-12-04T08:57:00.7478311Z ##[group]Fetching submodules 2025-12-04T08:57:00.7481896Z [command]/usr/bin/git submodule sync --recursive 2025-12-04T08:57:00.7828424Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-12-04T08:57:00.8162765Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-12-04T08:57:00.8165434Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-12-04T08:57:00.8168481Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-12-04T08:57:00.8171812Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-12-04T08:57:00.8175208Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-12-04T08:57:00.8179038Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-12-04T08:57:00.8182491Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-12-04T08:57:00.8186118Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-12-04T08:57:00.8189903Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-12-04T08:57:00.8193924Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-12-04T08:57:00.8198066Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-12-04T08:57:00.8201819Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-12-04T08:57:00.8205945Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-12-04T08:57:00.8209967Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-12-04T08:57:00.8214435Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-12-04T08:57:00.8219600Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-12-04T08:57:00.8226834Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-12-04T08:57:00.8231231Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-12-04T08:57:00.8235826Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:57:00.8240155Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-12-04T08:57:00.8244877Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-12-04T08:57:00.8249465Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-12-04T08:57:00.8254261Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-12-04T08:57:00.8259230Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-12-04T08:57:00.8264155Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-12-04T08:57:00.8269153Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-12-04T08:57:00.8274197Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-12-04T08:57:00.8279276Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-12-04T08:57:00.8284707Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-12-04T08:57:00.8289843Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-12-04T08:57:00.8295285Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-12-04T08:57:00.8301031Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-12-04T08:57:00.8306573Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-12-04T08:57:00.8313878Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-12-04T08:57:00.8320447Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-12-04T08:57:00.8326371Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-12-04T08:57:00.8332700Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-12-04T08:57:00.8363667Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-12-04T08:57:01.0710573Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-12-04T08:57:01.0711294Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-12-04T08:57:01.0711798Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-12-04T08:57:01.0716569Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-12-04T08:57:03.6177536Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-12-04T08:57:03.6179089Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-12-04T08:57:03.6180274Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-12-04T08:57:03.6181491Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-12-04T08:57:03.6182810Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-12-04T08:57:03.6183874Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-12-04T08:57:03.6184788Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-12-04T08:57:03.6185784Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-12-04T08:57:03.6186641Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-12-04T08:57:03.6187511Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-12-04T08:57:03.6188422Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-12-04T08:57:03.6189336Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-12-04T08:57:03.6190192Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-12-04T08:57:03.6191064Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-12-04T08:57:03.6191944Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-12-04T08:57:03.6192902Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-12-04T08:57:03.6416591Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-12-04T08:57:03.8379257Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-12-04T08:57:03.8872318Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-12-04T08:57:04.2632765Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-12-04T08:57:04.2634331Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-12-04T08:57:04.3634499Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-12-04T08:57:06.4077633Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-12-04T08:57:06.4078601Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-12-04T08:57:06.4079509Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-12-04T08:57:06.4080380Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-12-04T08:57:06.5079399Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-12-04T08:57:22.5227096Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-12-04T08:57:22.5227848Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-12-04T08:57:22.5228519Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-12-04T08:57:22.5229446Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-12-04T08:57:22.5230327Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-12-04T08:57:22.5406369Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-12-04T08:57:22.5557732Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-12-04T08:57:22.5676768Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-12-04T08:57:22.5980272Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-12-04T08:57:22.6894811Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6' 2025-12-04T08:57:22.7472004Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-12-04T08:57:23.6312954Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-12-04T08:57:23.8242173Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-12-04T08:57:23.8265325Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:57:23.8295146Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-12-04T08:57:28.1849274Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-12-04T08:57:28.2129887Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-12-04T08:57:28.6222625Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:57:28.6757307Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-12-04T08:57:28.7768838Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc' 2025-12-04T08:57:28.8287648Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396' 2025-12-04T08:57:29.5489011Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588' 2025-12-04T08:57:29.7239213Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4' 2025-12-04T08:57:29.7262785Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-12-04T08:57:29.7266063Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:57:29.7269458Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:57:29.7273464Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-12-04T08:57:29.7277111Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-12-04T08:57:29.7280813Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:57:29.7284362Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-12-04T08:57:29.7318075Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-12-04T08:57:30.8508421Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-12-04T08:57:30.8509367Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-12-04T08:57:30.8510018Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-12-04T08:57:30.9509247Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-12-04T08:57:33.8544987Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-12-04T08:57:33.9546323Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-12-04T08:57:36.0630221Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-12-04T08:57:36.4745180Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T08:57:36.5776585Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-12-04T08:57:37.2826939Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8' 2025-12-04T08:57:37.3311709Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:57:37.3448092Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-12-04T08:57:37.4645802Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-12-04T08:57:37.5468963Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-12-04T08:57:37.5490069Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:57:37.5493309Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:57:37.5522852Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-12-04T08:57:41.5213940Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-12-04T08:57:41.8143042Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-12-04T08:57:42.4403783Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-12-04T08:57:42.6002564Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-12-04T08:57:42.6321685Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f' 2025-12-04T08:57:42.6739144Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-12-04T08:57:42.7045942Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341' 2025-12-04T08:57:42.7514531Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T08:57:42.7668894Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-12-04T08:57:42.7689588Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-12-04T08:57:42.7718753Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-12-04T08:57:56.0197127Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-12-04T08:57:56.0437357Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-12-04T08:57:56.1290463Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943' 2025-12-04T08:57:56.1311899Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:57:56.1315224Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:57:56.1318566Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:57:56.1350564Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-12-04T08:57:56.7769092Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-12-04T08:57:57.2244153Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-12-04T08:57:57.3183521Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1' 2025-12-04T08:57:57.3204060Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:57:57.3207448Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:57:57.3210947Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:57:57.3215422Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:57:57.3219215Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:57:57.3223509Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:57:57.3227866Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:57:57.3231958Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:57:57.3236007Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:57:57.3273545Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-12-04T08:57:59.2363218Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-12-04T08:57:59.2364355Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-12-04T08:57:59.2365402Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'... 2025-12-04T08:57:59.2366595Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-12-04T08:57:59.2367598Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-12-04T08:57:59.2368756Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-12-04T08:57:59.2369892Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-12-04T08:57:59.3363751Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-12-04T08:58:03.7878822Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-12-04T08:58:03.8097144Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-12-04T08:58:03.8490507Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-12-04T08:58:03.8649300Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-12-04T08:58:03.8670867Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 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(https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:58:08.2995557Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:58:08.2998918Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:58:08.3002416Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:58:08.3005942Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:58:08.3009662Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 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'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:58:24.4554778Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:58:24.4610450Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:58:24.4656807Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:58:24.4708807Z Entering 'third_party/kleidiai' 2025-12-04T08:58:24.4761204Z Entering 'third_party/mimalloc' 2025-12-04T08:58:24.4811652Z Entering 'third_party/nlohmann' 2025-12-04T08:58:24.4865808Z Entering 'third_party/onnx' 2025-12-04T08:58:24.4927931Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:58:24.4978664Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:58:24.5026701Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:58:24.5073463Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:58:24.5124732Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:58:24.5172417Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:58:24.5226677Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:58:24.5272106Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:58:24.5321532Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:58:24.5372151Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:58:24.5426840Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:58:24.5476731Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:58:24.5543224Z Entering 'third_party/pocketfft' 2025-12-04T08:58:24.5595084Z Entering 'third_party/protobuf' 2025-12-04T08:58:24.5645855Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:58:24.5693123Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:58:24.5746129Z Entering 'third_party/psimd' 2025-12-04T08:58:24.5794504Z Entering 'third_party/pthreadpool' 2025-12-04T08:58:24.5841936Z Entering 'third_party/pybind11' 2025-12-04T08:58:24.5894587Z Entering 'third_party/python-peachpy' 2025-12-04T08:58:24.5943416Z Entering 'third_party/sleef' 2025-12-04T08:58:24.5992266Z Entering 'third_party/tensorpipe' 2025-12-04T08:58:24.6041735Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:58:24.6092327Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:58:24.6142038Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:58:24.6192696Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:58:24.6236052Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:58:24.6309169Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-12-04T08:58:24.6640131Z Entering 'android/libs/fbjni' 2025-12-04T08:58:24.6686747Z Entering 'third_party/FP16' 2025-12-04T08:58:24.6734242Z Entering 'third_party/FXdiv' 2025-12-04T08:58:24.6783209Z Entering 'third_party/NNPACK' 2025-12-04T08:58:24.6836130Z Entering 'third_party/NVTX' 2025-12-04T08:58:24.6887514Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:58:24.6935510Z Entering 'third_party/XNNPACK' 2025-12-04T08:58:24.6996789Z Entering 'third_party/aiter' 2025-12-04T08:58:24.7044489Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:58:24.7101389Z Entering 'third_party/benchmark' 2025-12-04T08:58:24.7149710Z Entering 'third_party/composable_kernel' 2025-12-04T08:58:24.7203843Z Entering 'third_party/cpp-httplib' 2025-12-04T08:58:24.7253460Z Entering 'third_party/cpuinfo' 2025-12-04T08:58:24.7306279Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:58:24.7353340Z Entering 'third_party/cutlass' 2025-12-04T08:58:24.7409039Z Entering 'third_party/fbgemm' 2025-12-04T08:58:24.7457874Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:58:24.7504891Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:58:24.7560046Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:58:24.7606641Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:58:24.7663284Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:58:24.7710728Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:58:24.7755622Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:58:24.7806504Z Entering 'third_party/flash-attention' 2025-12-04T08:58:24.7854364Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:58:24.7908163Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:58:24.7968308Z Entering 'third_party/flatbuffers' 2025-12-04T08:58:24.8022462Z Entering 'third_party/fmt' 2025-12-04T08:58:24.8072181Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:58:24.8123477Z Entering 'third_party/gloo' 2025-12-04T08:58:24.8171054Z Entering 'third_party/googletest' 2025-12-04T08:58:24.8225851Z Entering 'third_party/ideep' 2025-12-04T08:58:24.8272738Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:58:24.8327325Z Entering 'third_party/ittapi' 2025-12-04T08:58:24.8375075Z Entering 'third_party/kineto' 2025-12-04T08:58:24.8423303Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:58:24.8471358Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:58:24.8521566Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:58:24.8568100Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:58:24.8617033Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:58:24.8663668Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:58:24.8720005Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:58:24.8766863Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:58:24.8814016Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:58:24.8866294Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:58:24.8914730Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:58:24.8962774Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:58:24.9020119Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:58:24.9072343Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:58:24.9117427Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:58:24.9167120Z Entering 'third_party/kleidiai' 2025-12-04T08:58:24.9217923Z Entering 'third_party/mimalloc' 2025-12-04T08:58:24.9265429Z Entering 'third_party/nlohmann' 2025-12-04T08:58:24.9316014Z Entering 'third_party/onnx' 2025-12-04T08:58:24.9377266Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:58:24.9429283Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:58:24.9476609Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:58:24.9525656Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:58:24.9574535Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:58:24.9626424Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:58:24.9674608Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:58:24.9723166Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:58:24.9774671Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:58:24.9823634Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:58:24.9877719Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:58:24.9926949Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:58:24.9991840Z Entering 'third_party/pocketfft' 2025-12-04T08:58:25.0040331Z Entering 'third_party/protobuf' 2025-12-04T08:58:25.0094991Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:58:25.0143449Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:58:25.0198372Z Entering 'third_party/psimd' 2025-12-04T08:58:25.0243957Z Entering 'third_party/pthreadpool' 2025-12-04T08:58:25.0292641Z Entering 'third_party/pybind11' 2025-12-04T08:58:25.0343212Z Entering 'third_party/python-peachpy' 2025-12-04T08:58:25.0392078Z Entering 'third_party/sleef' 2025-12-04T08:58:25.0442051Z Entering 'third_party/tensorpipe' 2025-12-04T08:58:25.0490188Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:58:25.0536165Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:58:25.0583301Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:58:25.0632161Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:58:25.0682420Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:58:25.0748456Z ##[endgroup] 2025-12-04T08:58:25.0783411Z [command]/usr/bin/git log -1 --format=%H 2025-12-04T08:58:25.0806285Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:58:25.0919451Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-12-04T08:58:25.0919713Z cd "${GITHUB_WORKSPACE}" 2025-12-04T08:58:25.0919930Z # Clean stale submodule dirs 2025-12-04T08:58:25.0920156Z if [ -z "${NO_SUDO}" ]; then 2025-12-04T08:58:25.0920432Z  sudo git submodule foreach --recursive git clean -ffdx 2025-12-04T08:58:25.0921175Z else 2025-12-04T08:58:25.0921538Z  git submodule foreach --recursive git clean -ffdx 2025-12-04T08:58:25.0921800Z fi 2025-12-04T08:58:25.0932721Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:58:25.0932992Z env: 2025-12-04T08:58:25.0933151Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:25.0933331Z NO_SUDO: true 2025-12-04T08:58:25.0933494Z ##[endgroup] 2025-12-04T08:58:25.1278209Z Entering 'android/libs/fbjni' 2025-12-04T08:58:25.1316211Z Entering 'third_party/FP16' 2025-12-04T08:58:25.1352827Z Entering 'third_party/FXdiv' 2025-12-04T08:58:25.1390162Z Entering 'third_party/NNPACK' 2025-12-04T08:58:25.1430586Z Entering 'third_party/NVTX' 2025-12-04T08:58:25.1477794Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T08:58:25.1514372Z Entering 'third_party/XNNPACK' 2025-12-04T08:58:25.1638208Z Entering 'third_party/aiter' 2025-12-04T08:58:25.1684191Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T08:58:25.1801799Z Entering 'third_party/benchmark' 2025-12-04T08:58:25.1841739Z Entering 'third_party/composable_kernel' 2025-12-04T08:58:25.1971642Z Entering 'third_party/cpp-httplib' 2025-12-04T08:58:25.2014842Z Entering 'third_party/cpuinfo' 2025-12-04T08:58:25.2055903Z Entering 'third_party/cudnn_frontend' 2025-12-04T08:58:25.2095866Z Entering 'third_party/cutlass' 2025-12-04T08:58:25.2200657Z Entering 'third_party/fbgemm' 2025-12-04T08:58:25.2271711Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T08:58:25.2312364Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T08:58:25.2434049Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T08:58:25.2476807Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T08:58:25.2581741Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T08:58:25.2625529Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T08:58:25.2663190Z Entering 'third_party/fbgemm/external/json' 2025-12-04T08:58:25.2718391Z Entering 'third_party/flash-attention' 2025-12-04T08:58:25.2762070Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T08:58:25.2869998Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T08:58:25.2964383Z Entering 'third_party/flatbuffers' 2025-12-04T08:58:25.3044228Z Entering 'third_party/fmt' 2025-12-04T08:58:25.3085424Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T08:58:25.3124758Z Entering 'third_party/gloo' 2025-12-04T08:58:25.3162652Z Entering 'third_party/googletest' 2025-12-04T08:58:25.3203074Z Entering 'third_party/ideep' 2025-12-04T08:58:25.3241628Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T08:58:25.3331529Z Entering 'third_party/ittapi' 2025-12-04T08:58:25.3371567Z Entering 'third_party/kineto' 2025-12-04T08:58:25.3410650Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T08:58:25.3451859Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T08:58:25.3505900Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T08:58:25.3543651Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T08:58:25.3585173Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T08:58:25.3623941Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T08:58:25.3666429Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T08:58:25.3702911Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T08:58:25.3742430Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T08:58:25.3788190Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T08:58:25.3824834Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T08:58:25.3861895Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:58:25.3916912Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:58:25.3961051Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T08:58:25.3996529Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T08:58:25.4037117Z Entering 'third_party/kleidiai' 2025-12-04T08:58:25.4082211Z Entering 'third_party/mimalloc' 2025-12-04T08:58:25.4122717Z Entering 'third_party/nlohmann' 2025-12-04T08:58:25.4173843Z Entering 'third_party/onnx' 2025-12-04T08:58:25.4518336Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T08:58:25.4559556Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T08:58:25.4621525Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T08:58:25.4662767Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T08:58:25.4702150Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T08:58:25.4735639Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T08:58:25.4783221Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T08:58:25.4824874Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T08:58:25.4861850Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T08:58:25.4903339Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T08:58:25.4955532Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T08:58:25.4997859Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T08:58:25.5264160Z Entering 'third_party/pocketfft' 2025-12-04T08:58:25.5304208Z Entering 'third_party/protobuf' 2025-12-04T08:58:25.5388496Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T08:58:25.5424494Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T08:58:25.5467464Z Entering 'third_party/psimd' 2025-12-04T08:58:25.5503077Z Entering 'third_party/pthreadpool' 2025-12-04T08:58:25.5538868Z Entering 'third_party/pybind11' 2025-12-04T08:58:25.5577457Z Entering 'third_party/python-peachpy' 2025-12-04T08:58:25.5614636Z Entering 'third_party/sleef' 2025-12-04T08:58:25.5654036Z Entering 'third_party/tensorpipe' 2025-12-04T08:58:25.5695675Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T08:58:25.5733301Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T08:58:25.5772253Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T08:58:25.5814253Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T08:58:25.5852400Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T08:58:25.6008285Z Prepare all required actions 2025-12-04T08:58:25.6008739Z Getting action download info 2025-12-04T08:58:25.7614523Z ##[group]Run ./.github/actions/setup-linux 2025-12-04T08:58:25.7614756Z env: 2025-12-04T08:58:25.7614918Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:25.7615108Z ##[endgroup] 2025-12-04T08:58:25.7647339Z ##[group]Run set -euo pipefail 2025-12-04T08:58:25.7647590Z set -euo pipefail 2025-12-04T08:58:25.7647802Z function get_ec2_metadata() { 2025-12-04T08:58:25.7648086Z  # Pulled from instance metadata endpoint for EC2 2025-12-04T08:58:25.7648536Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-12-04T08:58:25.7648947Z  category=$1 2025-12-04T08:58:25.7649213Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-12-04T08:58:25.7649522Z  runner_name_str=i-021dbb4dc770d74ee 2025-12-04T08:58:25.7649794Z  if [[ -f /.inarc ]]; then 2025-12-04T08:58:25.7650041Z  echo "ARC Runner, no info on ec2 metadata" 2025-12-04T08:58:25.7650314Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-12-04T08:58:25.7650636Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-12-04T08:58:25.7650931Z  else 2025-12-04T08:58:25.7651739Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-12-04T08:58:25.7652567Z  fi 2025-12-04T08:58:25.7652723Z } 2025-12-04T08:58:25.7652913Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-12-04T08:58:25.7653207Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-12-04T08:58:25.7653540Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-12-04T08:58:25.7653834Z echo "system info $(uname -a)" 2025-12-04T08:58:25.7662132Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:58:25.7662410Z env: 2025-12-04T08:58:25.7662567Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:25.7662746Z ##[endgroup] 2025-12-04T08:58:25.7796218Z ami-id: ami-08982f1c5bf93d976 2025-12-04T08:58:25.7890818Z instance-id: i-021dbb4dc770d74ee 2025-12-04T08:58:25.7991745Z instance-type: g6.4xlarge 2025-12-04T08:58:25.8005375Z system info Linux ip-10-0-53-84.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep 9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-12-04T08:58:25.8023817Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:58:25.8024164Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T08:58:25.8031020Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:58:25.8031286Z env: 2025-12-04T08:58:25.8031463Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:25.8031654Z ##[endgroup] 2025-12-04T08:58:27.2435788Z Thu Dec 4 08:58:27 2025 2025-12-04T08:58:27.2436411Z +-----------------------------------------------------------------------------------------+ 2025-12-04T08:58:27.2437206Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T08:58:27.2437990Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T08:58:27.2438810Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T08:58:27.2439663Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T08:58:27.2440346Z | | | MIG M. | 2025-12-04T08:58:27.2440865Z |=========================================+========================+======================| 2025-12-04T08:58:27.2505496Z | 0 NVIDIA L4 Off | 00000000:35:00.0 Off | 0 | 2025-12-04T08:58:27.2506685Z | N/A 51C P0 30W / 72W | 0MiB / 23034MiB | 4% Default | 2025-12-04T08:58:27.2507398Z | | | N/A | 2025-12-04T08:58:27.2508041Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T08:58:27.2508446Z 2025-12-04T08:58:27.2508604Z +-----------------------------------------------------------------------------------------+ 2025-12-04T08:58:27.2509006Z | Processes: | 2025-12-04T08:58:27.2509414Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T08:58:27.2509792Z | ID ID Usage | 2025-12-04T08:58:27.2510229Z |=========================================================================================| 2025-12-04T08:58:27.2510933Z | No running processes found | 2025-12-04T08:58:27.2511727Z +-----------------------------------------------------------------------------------------+ 2025-12-04T08:58:27.5750907Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:58:27.5751753Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T08:58:27.5761907Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:58:27.5762188Z env: 2025-12-04T08:58:27.5762342Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:27.5762535Z ##[endgroup] 2025-12-04T08:58:27.5815788Z ##[group]Run if systemctl is-active --quiet docker; then 2025-12-04T08:58:27.5816107Z if systemctl is-active --quiet docker; then 2025-12-04T08:58:27.5816388Z  echo "Docker daemon is running..."; 2025-12-04T08:58:27.5816627Z else 2025-12-04T08:58:27.5816874Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-12-04T08:58:27.5817181Z fi 2025-12-04T08:58:27.5824029Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:58:27.5824313Z env: 2025-12-04T08:58:27.5824466Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:27.5824660Z ##[endgroup] 2025-12-04T08:58:27.5911792Z Docker daemon is running... 2025-12-04T08:58:27.5945179Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T08:58:27.5945408Z with: 2025-12-04T08:58:27.5945553Z shell: bash 2025-12-04T08:58:27.5945706Z timeout_minutes: 5 2025-12-04T08:58:27.5945877Z max_attempts: 3 2025-12-04T08:58:27.5946049Z retry_wait_seconds: 30 2025-12-04T08:58:27.5947662Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-12-04T08:58:27.5949270Z polling_interval_seconds: 1 2025-12-04T08:58:27.5949479Z warning_on_retry: true 2025-12-04T08:58:27.5949658Z continue_on_error: false 2025-12-04T08:58:27.5949837Z env: 2025-12-04T08:58:27.5949984Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:27.5950173Z AWS_RETRY_MODE: standard 2025-12-04T08:58:27.5950356Z AWS_MAX_ATTEMPTS: 5 2025-12-04T08:58:27.5950536Z AWS_DEFAULT_REGION: us-east-1 2025-12-04T08:58:27.5950730Z ##[endgroup] 2025-12-04T08:58:28.5933988Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:58:28.5935360Z Configure a credential helper to remove this warning. See 2025-12-04T08:58:28.5936209Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:58:28.5936765Z 2025-12-04T08:58:28.5936931Z Login Succeeded 2025-12-04T08:58:29.0585978Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:58:29.0586562Z Configure a credential helper to remove this warning. See 2025-12-04T08:58:29.0587134Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:58:29.0587415Z 2025-12-04T08:58:29.0587482Z Login Succeeded 2025-12-04T08:58:29.6702257Z Command completed after 1 attempt(s). 2025-12-04T08:58:29.6761745Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:58:29.6762116Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:58:29.6762434Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T08:58:29.6771261Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:58:29.6771535Z env: 2025-12-04T08:58:29.6771696Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:29.6771892Z ##[endgroup] 2025-12-04T08:58:29.6855759Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:58:29.6856151Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T08:58:29.6871815Z # shellcheck disable=SC2046 2025-12-04T08:58:29.6872103Z docker stop $(docker ps -q) || true 2025-12-04T08:58:29.6872371Z # Prune all of the docker images 2025-12-04T08:58:29.6872620Z docker system prune -af 2025-12-04T08:58:29.6879595Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:58:29.6879868Z env: 2025-12-04T08:58:29.6880027Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:29.6880225Z ##[endgroup] 2025-12-04T08:58:29.7112737Z "docker stop" requires at least 1 argument. 2025-12-04T08:58:29.7113095Z See 'docker stop --help'. 2025-12-04T08:58:29.7113261Z 2025-12-04T08:58:29.7113432Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-12-04T08:58:29.7113701Z 2025-12-04T08:58:29.7113807Z Stop one or more running containers 2025-12-04T08:58:29.7400092Z Total reclaimed space: 0B 2025-12-04T08:58:29.7550492Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-12-04T08:58:29.7550884Z with: 2025-12-04T08:58:29.7551475Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:29.7552135Z use-custom-docker-registry: true 2025-12-04T08:58:29.7552366Z docker-build-dir: .ci/docker 2025-12-04T08:58:29.7552583Z docker-build-script: ./build.sh 2025-12-04T08:58:29.7552796Z working-directory: . 2025-12-04T08:58:29.7553041Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:58:29.7553321Z force-push: false 2025-12-04T08:58:29.7553486Z env: 2025-12-04T08:58:29.7553632Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:29.7553814Z ##[endgroup] 2025-12-04T08:58:29.7570021Z ##[group]Run set -ex 2025-12-04T08:58:29.7570228Z set -ex 2025-12-04T08:58:29.7570384Z  2025-12-04T08:58:29.7570690Z # If the docker build directory or the build script doesn't exist, the action will 2025-12-04T08:58:29.7571163Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-12-04T08:58:29.7571578Z # job could then download the pre-built image as usual 2025-12-04T08:58:29.7572065Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-12-04T08:58:29.7572512Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-12-04T08:58:29.7572748Z else 2025-12-04T08:58:29.7572935Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:58:29.7573246Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:58:29.7573521Z  2025-12-04T08:58:29.7573908Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-12-04T08:58:29.7574354Z  exit 0 2025-12-04T08:58:29.7574508Z fi 2025-12-04T08:58:29.7574659Z  2025-12-04T08:58:29.7574907Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-12-04T08:58:29.7575328Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-12-04T08:58:29.7575696Z  # use it as it is, but first let's extract the tag 2025-12-04T08:58:29.7576038Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-12-04T08:58:29.7576395Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:58:29.7576737Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:58:29.7577011Z else 2025-12-04T08:58:29.7577201Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-12-04T08:58:29.7577470Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-12-04T08:58:29.7577745Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-12-04T08:58:29.7577979Z  fi 2025-12-04T08:58:29.7578576Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-12-04T08:58:29.7579014Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:58:29.7579453Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:58:29.7579938Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-12-04T08:58:29.7580233Z fi 2025-12-04T08:58:29.7587918Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:58:29.7588191Z env: 2025-12-04T08:58:29.7588346Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:29.7588531Z REPO_NAME: pytorch 2025-12-04T08:58:29.7589267Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:29.7589919Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:58:29.7590135Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-12-04T08:58:29.7590406Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:58:29.7590700Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-12-04T08:58:29.7590909Z CUSTOM_TAG_PREFIX: 2025-12-04T08:58:29.7591078Z ##[endgroup] 2025-12-04T08:58:29.7616838Z + [[ -d .ci/docker ]] 2025-12-04T08:58:29.7617148Z + [[ -f .ci/docker/./build.sh ]] 2025-12-04T08:58:29.7617416Z + [[ true == \t\r\u\e ]] 2025-12-04T08:58:29.7617653Z + echo skip=false 2025-12-04T08:58:29.7618752Z + [[ 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* ]] 2025-12-04T08:58:29.7624320Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:29.7625091Z ++ awk -F '[:,]' '{print $2}' 2025-12-04T08:58:29.7648000Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:29.7649233Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:29.7650800Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:29.7673388Z ##[group]Run set +e 2025-12-04T08:58:29.7673618Z set +e 2025-12-04T08:58:29.7673777Z set -x 2025-12-04T08:58:29.7673937Z  2025-12-04T08:58:29.7674086Z login() { 2025-12-04T08:58:29.7674422Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:58:29.7674786Z } 2025-12-04T08:58:29.7674944Z  2025-12-04T08:58:29.7675085Z retry () { 2025-12-04T08:58:29.7675274Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:58:29.7675513Z } 2025-12-04T08:58:29.7675654Z  2025-12-04T08:58:29.7675822Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:58:29.7676036Z  2025-12-04T08:58:29.7676194Z START_TIME=$(date +%s) 2025-12-04T08:58:29.7676400Z # Wait up to 120 minutes 2025-12-04T08:58:29.7676661Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-12-04T08:58:29.7677022Z  # Check if image already exists, if it does then skip building it 2025-12-04T08:58:29.7677381Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-12-04T08:58:29.7677640Z  exit 0 2025-12-04T08:58:29.7677827Z  fi 2025-12-04T08:58:29.7677983Z  2025-12-04T08:58:29.7678270Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-12-04T08:58:29.7678736Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-12-04T08:58:29.7679345Z  # latter, it will wait for the Docker images to become available before continuing 2025-12-04T08:58:29.7679718Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-12-04T08:58:29.7680012Z  # It's a Docker build job, let's build the image 2025-12-04T08:58:29.7680271Z  break 2025-12-04T08:58:29.7680443Z  else 2025-12-04T08:58:29.7680684Z  # It's a regular build job, wait for the image to become available 2025-12-04T08:58:29.7680980Z  sleep 300 2025-12-04T08:58:29.7681160Z  fi 2025-12-04T08:58:29.7681308Z done 2025-12-04T08:58:29.7681458Z  2025-12-04T08:58:29.7681708Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-12-04T08:58:29.7682460Z # be empty. The default action would be to continue rebuild the image 2025-12-04T08:58:29.7682835Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-12-04T08:58:29.7683160Z  # if we're on the base branch then use the parent commit 2025-12-04T08:58:29.7683441Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-12-04T08:58:29.7683656Z else 2025-12-04T08:58:29.7683886Z  # otherwise we're on a PR, so use the most recent base commit 2025-12-04T08:58:29.7684220Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-12-04T08:58:29.7684465Z fi 2025-12-04T08:58:29.7684626Z  2025-12-04T08:58:29.7684798Z if [[ -z "${MERGE_BASE}" ]]; then 2025-12-04T08:58:29.7685055Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:58:29.7685287Z  2025-12-04T08:58:29.7685619Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-12-04T08:58:29.7686021Z  exit 0 2025-12-04T08:58:29.7686176Z fi 2025-12-04T08:58:29.7686323Z  2025-12-04T08:58:29.7686545Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-12-04T08:58:29.7687023Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-12-04T08:58:29.7687422Z  exit 1 2025-12-04T08:58:29.7687578Z fi 2025-12-04T08:58:29.7687725Z  2025-12-04T08:58:29.7687976Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-12-04T08:58:29.7688433Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-12-04T08:58:29.7688843Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-12-04T08:58:29.7689320Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-12-04T08:58:29.7689848Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-12-04T08:58:29.7690170Z fi 2025-12-04T08:58:29.7690318Z  2025-12-04T08:58:29.7690507Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T08:58:29.7697355Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:58:29.7697631Z env: 2025-12-04T08:58:29.7697790Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:29.7697983Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T08:58:29.7698334Z BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T08:58:29.7698999Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:29.7699815Z DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:29.7700299Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:58:29.7700581Z DOCKER_PUSH: 2025-12-04T08:58:29.7700743Z ##[endgroup] 2025-12-04T08:58:29.7724974Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:58:29.7725600Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:58:29.7727925Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:58:29.7728972Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:58:30.2300030Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:58:30.2300607Z Configure a credential helper to remove this warning. See 2025-12-04T08:58:30.2301140Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:58:30.2301498Z 2025-12-04T08:58:30.2303187Z Login Succeeded 2025-12-04T08:58:30.2323013Z ++ date +%s 2025-12-04T08:58:30.2334488Z + START_TIME=1764838710 2025-12-04T08:58:30.2337915Z ++ date +%s 2025-12-04T08:58:30.2349643Z + [[ 1764831510 -lt 1764838710 ]] 2025-12-04T08:58:30.2350516Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:30.4294849Z { 2025-12-04T08:58:30.4295187Z "schemaVersion": 2, 2025-12-04T08:58:30.4295836Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-12-04T08:58:30.4296497Z "config": { 2025-12-04T08:58:30.4296887Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-12-04T08:58:30.4297265Z "size": 34864, 2025-12-04T08:58:30.4297640Z "digest": "sha256:add7313791033822205cdb3cf32096534b2cfaa4855bd48119b59000bfe00301" 2025-12-04T08:58:30.4298168Z }, 2025-12-04T08:58:30.4298368Z "layers": [ 2025-12-04T08:58:30.4298550Z { 2025-12-04T08:58:30.4298850Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4299221Z "size": 30447951, 2025-12-04T08:58:30.4299619Z "digest": "sha256:63e5bc7682b85ae57a1221210f64d62e7a90b0a30f19af4ca734b8242ae49d63" 2025-12-04T08:58:30.4300031Z }, 2025-12-04T08:58:30.4300196Z { 2025-12-04T08:58:30.4300495Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4300867Z "size": 1554, 2025-12-04T08:58:30.4301214Z "digest": "sha256:0678d56345c994444b77bb70b1177189d23e794748b1d75ffc45d227c7dea94a" 2025-12-04T08:58:30.4301595Z }, 2025-12-04T08:58:30.4301754Z { 2025-12-04T08:58:30.4302046Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4302403Z "size": 313275661, 2025-12-04T08:58:30.4302774Z "digest": 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"sha256:83779ddf6a85ab387f64a45f274cba245b69e4fd1931ff0b5d7d3efd4b7a43bc" 2025-12-04T08:58:30.4408344Z }, 2025-12-04T08:58:30.4408472Z { 2025-12-04T08:58:30.4408785Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4409065Z "size": 724, 2025-12-04T08:58:30.4409335Z "digest": "sha256:3541df015cdb7e8925273399d28e56c31b3c9196f00439ac2925537b173b1f84" 2025-12-04T08:58:30.4409652Z }, 2025-12-04T08:58:30.4409790Z { 2025-12-04T08:58:30.4410011Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4410296Z "size": 155, 2025-12-04T08:58:30.4410567Z "digest": "sha256:8b7620c0d736cc79381207ce5afe2af90f0cd7f0cd394577d2c9520d7f74762f" 2025-12-04T08:58:30.4410889Z }, 2025-12-04T08:58:30.4411021Z { 2025-12-04T08:58:30.4411236Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4411518Z "size": 32, 2025-12-04T08:58:30.4411803Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:58:30.4412429Z }, 2025-12-04T08:58:30.4412559Z { 2025-12-04T08:58:30.4412784Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4413079Z "size": 188, 2025-12-04T08:58:30.4413360Z "digest": "sha256:3bcfa090e4efd3677425f76baea9f1e0c50a75d8c6b5713ec05310f1dff24539" 2025-12-04T08:58:30.4413699Z }, 2025-12-04T08:58:30.4413833Z { 2025-12-04T08:58:30.4414052Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4414335Z "size": 1370, 2025-12-04T08:58:30.4414621Z "digest": "sha256:eb0504ec4d9218a79896b604f73dc0ea5a0f96266ad9c2cdbbbe5f0f18222694" 2025-12-04T08:58:30.4414940Z }, 2025-12-04T08:58:30.4415077Z { 2025-12-04T08:58:30.4415309Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4415594Z "size": 32, 2025-12-04T08:58:30.4415872Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:58:30.4416214Z }, 2025-12-04T08:58:30.4416349Z { 2025-12-04T08:58:30.4416562Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4416849Z "size": 136, 2025-12-04T08:58:30.4417137Z "digest": "sha256:15d0fec09d7b196a1462d51516ee90fc3443ba178d3e56d59cacf32146b4321d" 2025-12-04T08:58:30.4417457Z }, 2025-12-04T08:58:30.4417589Z { 2025-12-04T08:58:30.4417818Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4418164Z "size": 528, 2025-12-04T08:58:30.4418455Z "digest": "sha256:cca81fcc62a949959ca4dd3c9056fb293d548ef8607127eeeef6cfd3a8897ca8" 2025-12-04T08:58:30.4418781Z }, 2025-12-04T08:58:30.4418908Z { 2025-12-04T08:58:30.4419127Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4419407Z "size": 32, 2025-12-04T08:58:30.4419686Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:58:30.4420004Z }, 2025-12-04T08:58:30.4420135Z { 2025-12-04T08:58:30.4420354Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4420642Z "size": 104, 2025-12-04T08:58:30.4420944Z "digest": "sha256:b0b8f9b5c6ab98db9cd830dc584e1b6aec9add139e4cc48d8c243d36691e25b4" 2025-12-04T08:58:30.4421279Z }, 2025-12-04T08:58:30.4421409Z { 2025-12-04T08:58:30.4421801Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4422090Z "size": 435, 2025-12-04T08:58:30.4422369Z "digest": "sha256:0606ca4d47a8a70e91e92b03ca51a85e731641b09342136a54ef2f2a6d9dfb44" 2025-12-04T08:58:30.4422692Z }, 2025-12-04T08:58:30.4422824Z { 2025-12-04T08:58:30.4423045Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4423331Z "size": 32, 2025-12-04T08:58:30.4423615Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:58:30.4423943Z }, 2025-12-04T08:58:30.4424072Z { 2025-12-04T08:58:30.4424297Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4424581Z "size": 109, 2025-12-04T08:58:30.4424988Z "digest": "sha256:2f80a4e1b3b95ed67bb781ea787e8a63e46de79117d9d8e65c257072b38afa2d" 2025-12-04T08:58:30.4425322Z }, 2025-12-04T08:58:30.4425457Z { 2025-12-04T08:58:30.4425673Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4425962Z "size": 1896, 2025-12-04T08:58:30.4426245Z "digest": "sha256:35c916fb1bd057e517dcab78c3a2a018e68096d8993892ad84f47562d37ae352" 2025-12-04T08:58:30.4426560Z }, 2025-12-04T08:58:30.4426692Z { 2025-12-04T08:58:30.4426916Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4427217Z "size": 197526165, 2025-12-04T08:58:30.4427503Z "digest": "sha256:195537b7dafc96192f768323b1a8cc2a914d41959849b73198579576b0872a44" 2025-12-04T08:58:30.4427821Z }, 2025-12-04T08:58:30.4427953Z { 2025-12-04T08:58:30.4428171Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4428455Z "size": 106, 2025-12-04T08:58:30.4428739Z "digest": "sha256:dc454fd3967e5735b2498b7f1d958a2c626987d5e4ce225ca98da3cd945b59f3" 2025-12-04T08:58:30.4429062Z }, 2025-12-04T08:58:30.4429210Z { 2025-12-04T08:58:30.4429439Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4429721Z "size": 165, 2025-12-04T08:58:30.4429999Z "digest": "sha256:701b34f115fa897181c046dc37288e87cbc3ad74c36a9e2224b5bfe7c5703afb" 2025-12-04T08:58:30.4430321Z }, 2025-12-04T08:58:30.4430445Z { 2025-12-04T08:58:30.4430666Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4430952Z "size": 7944, 2025-12-04T08:58:30.4431239Z "digest": "sha256:39cefc00ffedebc9098261c798408b87a20c95a88fccb110594077f48dadf760" 2025-12-04T08:58:30.4431557Z }, 2025-12-04T08:58:30.4431685Z { 2025-12-04T08:58:30.4431906Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4432191Z "size": 8071, 2025-12-04T08:58:30.4432475Z "digest": "sha256:6ae51eb61a325b2c2995a5088c81aa20821b75be65b5aa722c7c40556b5d03ea" 2025-12-04T08:58:30.4432793Z }, 2025-12-04T08:58:30.4432922Z { 2025-12-04T08:58:30.4433143Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4433431Z "size": 304, 2025-12-04T08:58:30.4433706Z "digest": "sha256:1fd5341e66dfc0c1ae23af014641a92a6fd02640c528fe6d4dc55921ed659a26" 2025-12-04T08:58:30.4434029Z }, 2025-12-04T08:58:30.4434171Z { 2025-12-04T08:58:30.4434391Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4434674Z "size": 13364291, 2025-12-04T08:58:30.4434965Z "digest": "sha256:72a7c87e35e40ab796f90aee1b51add7902f0cdc44406d2505b6c6a1f55a8da6" 2025-12-04T08:58:30.4435290Z }, 2025-12-04T08:58:30.4435415Z { 2025-12-04T08:58:30.4435646Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4435930Z "size": 108, 2025-12-04T08:58:30.4436211Z "digest": "sha256:ec36862ac98ebaac52ee1a8b1d162d45bd0e3bf59ae7e19c8f80ad3960b4c600" 2025-12-04T08:58:30.4436542Z }, 2025-12-04T08:58:30.4436676Z { 2025-12-04T08:58:30.4436898Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4437188Z "size": 54145699, 2025-12-04T08:58:30.4437599Z "digest": "sha256:05ddbf246e8add0e293474dbf88bb028d5a295a25ac59e8648a18db644377773" 2025-12-04T08:58:30.4437923Z }, 2025-12-04T08:58:30.4438055Z { 2025-12-04T08:58:30.4438282Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T08:58:30.4438567Z "size": 32, 2025-12-04T08:58:30.4438845Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T08:58:30.4439171Z } 2025-12-04T08:58:30.4439303Z ] 2025-12-04T08:58:30.4439432Z } 2025-12-04T08:58:30.4439592Z + exit 0 2025-12-04T08:58:30.4462099Z ##[group]Run set -eux 2025-12-04T08:58:30.4462306Z set -eux 2025-12-04T08:58:30.4462598Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-12-04T08:58:30.4463506Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true 2025-12-04T08:58:30.4471757Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:58:30.4472028Z env: 2025-12-04T08:58:30.4472182Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:30.4472365Z ##[endgroup] 2025-12-04T08:58:30.4505361Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-12-04T08:58:30.4506248Z + jq --raw-output .SecretString 2025-12-04T08:58:30.4507660Z + jq -r .docker_hub_readonly_token 2025-12-04T08:58:30.4508412Z + docker login --username pytorchbot --password-stdin 2025-12-04T08:58:30.9486548Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:58:30.9487663Z Configure a credential helper to remove this warning. See 2025-12-04T08:58:30.9488693Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:58:30.9489191Z 2025-12-04T08:58:30.9489720Z Login Succeeded 2025-12-04T08:58:30.9568976Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:58:30.9569304Z tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T08:58:30.9569598Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-12-04T08:58:30.9577912Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:58:30.9578297Z env: 2025-12-04T08:58:30.9578472Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:30.9579076Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:30.9579708Z ##[endgroup] 2025-12-04T08:58:30.9606913Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:30.9643202Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-12-04T08:58:30.9643550Z with: 2025-12-04T08:58:30.9644120Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:30.9644830Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:58:30.9645104Z env: 2025-12-04T08:58:30.9645268Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:30.9645457Z ##[endgroup] 2025-12-04T08:58:30.9657996Z ##[group]Run set -x 2025-12-04T08:58:30.9658304Z set -x 2025-12-04T08:58:30.9658466Z set +e 2025-12-04T08:58:30.9658625Z  2025-12-04T08:58:30.9658774Z login() { 2025-12-04T08:58:30.9659111Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T08:58:30.9659475Z } 2025-12-04T08:58:30.9659626Z  2025-12-04T08:58:30.9659797Z retry () { 2025-12-04T08:58:30.9659989Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T08:58:30.9660213Z } 2025-12-04T08:58:30.9660357Z  2025-12-04T08:58:30.9660520Z retry login "${DOCKER_REGISTRY}" 2025-12-04T08:58:30.9660730Z  2025-12-04T08:58:30.9661245Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-12-04T08:58:30.9661711Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-12-04T08:58:30.9661963Z  2025-12-04T08:58:30.9662114Z set -e 2025-12-04T08:58:30.9662362Z # ignore output since only exit code is used for conditional 2025-12-04T08:58:30.9662714Z # only pull docker image if it's not available locally 2025-12-04T08:58:30.9663090Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-12-04T08:58:30.9663446Z  retry docker pull "${DOCKER_IMAGE}" 2025-12-04T08:58:30.9663670Z fi 2025-12-04T08:58:30.9670379Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T08:58:30.9670649Z env: 2025-12-04T08:58:30.9670809Z GIT_DEFAULT_BRANCH: main 2025-12-04T08:58:30.9671404Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:30.9672089Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:58:30.9672364Z ##[endgroup] 2025-12-04T08:58:30.9695327Z + set +e 2025-12-04T08:58:30.9695781Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:58:30.9696185Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:58:30.9698874Z + aws ecr get-login-password --region us-east-1 2025-12-04T08:58:30.9699919Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T08:58:31.4300525Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T08:58:31.4301838Z Configure a credential helper to remove this warning. See 2025-12-04T08:58:31.4302639Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T08:58:31.4303446Z 2025-12-04T08:58:31.4303654Z Login Succeeded 2025-12-04T08:58:31.4326762Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:31.4327645Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-12-04T08:58:31.6229848Z + IMAGE_SIZE=15091.581844329834 2025-12-04T08:58:31.6230259Z + echo 'Compressed size of image in MB: 15091.581844329834' 2025-12-04T08:58:31.6230585Z + set -e 2025-12-04T08:58:31.6230842Z Compressed size of image in MB: 15091.581844329834 2025-12-04T08:58:31.6232117Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:31.6348199Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:31.6349489Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T08:58:31.8462278Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image 2025-12-04T08:58:31.8463670Z 63e5bc7682b8: Pulling fs layer 2025-12-04T08:58:31.8464122Z 0678d56345c9: Pulling fs layer 2025-12-04T08:58:31.8464543Z 45f5c9ddfce7: Pulling fs layer 2025-12-04T08:58:31.8464972Z 086b1df51ac1: Pulling fs layer 2025-12-04T08:58:31.8465246Z fe8a7b64bf98: Pulling fs layer 2025-12-04T08:58:31.8465482Z 7680723e9a57: Pulling fs layer 2025-12-04T08:58:31.8465752Z 9c5027aeeb4e: Pulling fs layer 2025-12-04T08:58:31.8465995Z 9a5652110360: Pulling fs layer 2025-12-04T08:58:31.8466372Z 375c4427e914: Pulling fs layer 2025-12-04T08:58:31.8466782Z a86faaa7dbdd: Pulling fs layer 2025-12-04T08:58:31.8467224Z fb7848686804: Pulling fs layer 2025-12-04T08:58:31.8467634Z 3541df015cdb: Pulling fs layer 2025-12-04T08:58:31.8468347Z 79dc80f426b2: Pulling fs layer 2025-12-04T08:58:31.8468601Z a13fcc1b90bb: Pulling fs layer 2025-12-04T08:58:31.8468849Z 4f4fb700ef54: Pulling fs layer 2025-12-04T08:58:31.8469081Z 549db4d6c618: Pulling fs layer 2025-12-04T08:58:31.8469266Z 5c63528cb580: Pulling fs layer 2025-12-04T08:58:31.8469448Z 75bd83b989a4: Pulling fs layer 2025-12-04T08:58:31.8469630Z de6e78970f51: Pulling fs layer 2025-12-04T08:58:31.8469816Z e13ed7c7e473: Pulling fs layer 2025-12-04T08:58:31.8469998Z 6e2949bcb741: Pulling fs layer 2025-12-04T08:58:31.8470177Z 14d69d9aaec7: Pulling fs layer 2025-12-04T08:58:31.8470363Z 5c02769dd8e5: Pulling fs layer 2025-12-04T08:58:31.8470555Z 35041ce524ac: Pulling fs layer 2025-12-04T08:58:31.8470739Z 2fa92dc5885e: Pulling fs layer 2025-12-04T08:58:31.8471022Z 2b85eafbd92a: Pulling fs layer 2025-12-04T08:58:31.8471243Z ff755a4ddad7: Pulling fs layer 2025-12-04T08:58:31.8471433Z 09eb41bdf42d: Pulling fs layer 2025-12-04T08:58:31.8471616Z 11ede4d59e93: Pulling fs layer 2025-12-04T08:58:31.8472017Z 1283cd8f801a: Pulling fs layer 2025-12-04T08:58:31.8472218Z 024fa855425f: Pulling fs layer 2025-12-04T08:58:31.8472402Z 303e6747a62e: Pulling fs layer 2025-12-04T08:58:31.8472588Z 3017cdf4838b: Pulling fs layer 2025-12-04T08:58:31.8472781Z 6b6cd1c358e8: Pulling fs layer 2025-12-04T08:58:31.8472971Z b2dd04501124: Pulling fs layer 2025-12-04T08:58:31.8473172Z 55adc51fe589: Pulling fs layer 2025-12-04T08:58:31.8473370Z a43ca0e4b837: Pulling fs layer 2025-12-04T08:58:31.8473559Z b7212f17fd14: Pulling fs layer 2025-12-04T08:58:31.8473741Z 083e42cac090: Pulling fs layer 2025-12-04T08:58:31.8473930Z 0a00b784a4aa: Pulling fs layer 2025-12-04T08:58:31.8474121Z c6173c779f7b: Pulling fs layer 2025-12-04T08:58:31.8474302Z 7680723e9a57: Waiting 2025-12-04T08:58:31.8474476Z 9a5652110360: Waiting 2025-12-04T08:58:31.8474728Z ed3d1e3387b9: Pulling fs layer 2025-12-04T08:58:31.8474998Z b29343478586: Pulling fs layer 2025-12-04T08:58:31.8475189Z c6f0520487fb: Pulling fs layer 2025-12-04T08:58:31.8475374Z 148171691cd4: Pulling fs layer 2025-12-04T08:58:31.8475562Z 2c666d30ed77: Pulling fs layer 2025-12-04T08:58:31.8475748Z 5d8d3a0a98e0: Pulling fs layer 2025-12-04T08:58:31.8475929Z 9c5027aeeb4e: Waiting 2025-12-04T08:58:31.8476087Z 086b1df51ac1: Waiting 2025-12-04T08:58:31.8476260Z b06bafce9e81: Pulling fs layer 2025-12-04T08:58:31.8476443Z 2b85eafbd92a: Waiting 2025-12-04T08:58:31.8476623Z 15e0d7e4590d: Pulling fs layer 2025-12-04T08:58:31.8476805Z de6e78970f51: Waiting 2025-12-04T08:58:31.8476967Z 75bd83b989a4: Waiting 2025-12-04T08:58:31.8477138Z a514bd1add31: Pulling fs layer 2025-12-04T08:58:31.8477316Z ff755a4ddad7: Waiting 2025-12-04T08:58:31.8477477Z 5c02769dd8e5: Waiting 2025-12-04T08:58:31.8477830Z a43ca0e4b837: Waiting 2025-12-04T08:58:31.8478009Z 57b84ee60002: Pulling fs layer 2025-12-04T08:58:31.8478194Z 09eb41bdf42d: Waiting 2025-12-04T08:58:31.8478360Z e13ed7c7e473: Waiting 2025-12-04T08:58:31.8478533Z b8babeff6d81: Pulling fs layer 2025-12-04T08:58:31.8478739Z 6e2949bcb741: Waiting 2025-12-04T08:58:31.8478910Z fe8a7b64bf98: Waiting 2025-12-04T08:58:31.8479071Z 83779ddf6a85: Pulling fs layer 2025-12-04T08:58:31.8479253Z 14d69d9aaec7: Waiting 2025-12-04T08:58:31.8479419Z a86faaa7dbdd: Waiting 2025-12-04T08:58:31.8479581Z 8b7620c0d736: Pulling fs layer 2025-12-04T08:58:31.8479761Z 083e42cac090: Waiting 2025-12-04T08:58:31.8479917Z 79dc80f426b2: Waiting 2025-12-04T08:58:31.8480068Z 549db4d6c618: Waiting 2025-12-04T08:58:31.8480240Z a13fcc1b90bb: Waiting 2025-12-04T08:58:31.8480411Z 3bcfa090e4ef: Pulling fs layer 2025-12-04T08:58:31.8480598Z eb0504ec4d92: Pulling fs layer 2025-12-04T08:58:31.8480794Z 3541df015cdb: Waiting 2025-12-04T08:58:31.8480950Z fb7848686804: Waiting 2025-12-04T08:58:31.8481125Z 15d0fec09d7b: Pulling fs layer 2025-12-04T08:58:31.8481299Z b29343478586: Waiting 2025-12-04T08:58:31.8481474Z 1283cd8f801a: Waiting 2025-12-04T08:58:31.8481635Z 024fa855425f: Waiting 2025-12-04T08:58:31.8481789Z 303e6747a62e: Waiting 2025-12-04T08:58:31.8481948Z 2fa92dc5885e: Waiting 2025-12-04T08:58:31.8482121Z cca81fcc62a9: Pulling fs layer 2025-12-04T08:58:31.8482381Z 5c63528cb580: Waiting 2025-12-04T08:58:31.8482540Z c6f0520487fb: Waiting 2025-12-04T08:58:31.8482701Z 3017cdf4838b: Waiting 2025-12-04T08:58:31.8482859Z 148171691cd4: Waiting 2025-12-04T08:58:31.8483023Z b0b8f9b5c6ab: Pulling fs layer 2025-12-04T08:58:31.8483217Z 0606ca4d47a8: Pulling fs layer 2025-12-04T08:58:31.8483397Z 6b6cd1c358e8: Waiting 2025-12-04T08:58:31.8483552Z b2dd04501124: Waiting 2025-12-04T08:58:31.8483709Z 57b84ee60002: Waiting 2025-12-04T08:58:31.8483879Z 2f80a4e1b3b9: Pulling fs layer 2025-12-04T08:58:31.8484058Z b8babeff6d81: Waiting 2025-12-04T08:58:31.8484231Z 375c4427e914: Waiting 2025-12-04T08:58:31.8484396Z 83779ddf6a85: Waiting 2025-12-04T08:58:31.8484561Z 35c916fb1bd0: Pulling fs layer 2025-12-04T08:58:31.8484743Z 8b7620c0d736: Waiting 2025-12-04T08:58:31.8484912Z 195537b7dafc: Pulling fs layer 2025-12-04T08:58:31.8485089Z 15e0d7e4590d: Waiting 2025-12-04T08:58:31.8485260Z dc454fd3967e: Pulling fs layer 2025-12-04T08:58:31.8485458Z 701b34f115fa: Pulling fs layer 2025-12-04T08:58:31.8485645Z 39cefc00ffed: Pulling fs layer 2025-12-04T08:58:31.8485836Z 6ae51eb61a32: Pulling fs layer 2025-12-04T08:58:31.8486033Z 5d8d3a0a98e0: Waiting 2025-12-04T08:58:31.8486193Z b06bafce9e81: Waiting 2025-12-04T08:58:31.8486357Z c6173c779f7b: Waiting 2025-12-04T08:58:31.8486521Z 1fd5341e66df: Pulling fs layer 2025-12-04T08:58:31.8486708Z 72a7c87e35e4: Pulling fs layer 2025-12-04T08:58:31.8486884Z dc454fd3967e: Waiting 2025-12-04T08:58:31.8487041Z 195537b7dafc: Waiting 2025-12-04T08:58:31.8487197Z 2f80a4e1b3b9: Waiting 2025-12-04T08:58:31.8487353Z 35c916fb1bd0: Waiting 2025-12-04T08:58:31.8487512Z 55adc51fe589: Waiting 2025-12-04T08:58:31.8487675Z 39cefc00ffed: Waiting 2025-12-04T08:58:31.8487829Z 3bcfa090e4ef: Waiting 2025-12-04T08:58:31.8487989Z 6ae51eb61a32: Waiting 2025-12-04T08:58:31.8488154Z ec36862ac98e: Pulling fs layer 2025-12-04T08:58:31.8488330Z 701b34f115fa: Waiting 2025-12-04T08:58:31.8488504Z 05ddbf246e8a: Pulling fs layer 2025-12-04T08:58:31.8488709Z 72a7c87e35e4: Waiting 2025-12-04T08:58:31.8488862Z 15d0fec09d7b: Waiting 2025-12-04T08:58:31.8489022Z ec36862ac98e: Waiting 2025-12-04T08:58:31.8489181Z eb0504ec4d92: Waiting 2025-12-04T08:58:31.8489335Z 05ddbf246e8a: Waiting 2025-12-04T08:58:31.8489499Z 0606ca4d47a8: Waiting 2025-12-04T08:58:31.8499823Z b0b8f9b5c6ab: Waiting 2025-12-04T08:58:31.8500039Z cca81fcc62a9: Waiting 2025-12-04T08:58:31.8500215Z 1fd5341e66df: Waiting 2025-12-04T08:58:31.8500378Z b7212f17fd14: Waiting 2025-12-04T08:58:31.8500539Z a514bd1add31: Waiting 2025-12-04T08:58:31.8500702Z ed3d1e3387b9: Waiting 2025-12-04T08:58:31.8500860Z 0a00b784a4aa: Waiting 2025-12-04T08:58:31.8501023Z 35041ce524ac: Waiting 2025-12-04T08:58:31.8501321Z 11ede4d59e93: Waiting 2025-12-04T08:58:31.8501492Z 4f4fb700ef54: Waiting 2025-12-04T08:58:31.9324694Z 0678d56345c9: Verifying Checksum 2025-12-04T08:58:31.9325108Z 0678d56345c9: Download complete 2025-12-04T08:58:32.0140250Z 086b1df51ac1: Verifying Checksum 2025-12-04T08:58:32.0140510Z 086b1df51ac1: Download complete 2025-12-04T08:58:32.0809840Z fe8a7b64bf98: Verifying Checksum 2025-12-04T08:58:32.0810523Z fe8a7b64bf98: Download complete 2025-12-04T08:58:32.1575316Z 7680723e9a57: Verifying Checksum 2025-12-04T08:58:32.1575771Z 7680723e9a57: Download complete 2025-12-04T08:58:32.2315462Z 9c5027aeeb4e: Verifying Checksum 2025-12-04T08:58:32.2315899Z 9c5027aeeb4e: Download complete 2025-12-04T08:58:32.3036960Z 9a5652110360: Verifying Checksum 2025-12-04T08:58:32.3037341Z 9a5652110360: Download complete 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2025-12-04T08:58:40.9916591Z a43ca0e4b837: Download complete 2025-12-04T08:58:41.0697477Z b7212f17fd14: Download complete 2025-12-04T08:58:41.1420847Z 083e42cac090: Verifying Checksum 2025-12-04T08:58:41.1421140Z 083e42cac090: Download complete 2025-12-04T08:58:41.2095147Z 0a00b784a4aa: Verifying Checksum 2025-12-04T08:58:41.2095854Z 0a00b784a4aa: Download complete 2025-12-04T08:58:41.2829854Z c6173c779f7b: Verifying Checksum 2025-12-04T08:58:41.2830130Z c6173c779f7b: Download complete 2025-12-04T08:58:42.0628914Z 45f5c9ddfce7: Pull complete 2025-12-04T08:58:42.0856280Z 086b1df51ac1: Pull complete 2025-12-04T08:58:42.1070992Z fe8a7b64bf98: Pull complete 2025-12-04T08:58:42.1281809Z 7680723e9a57: Pull complete 2025-12-04T08:58:42.1522955Z 9c5027aeeb4e: Pull complete 2025-12-04T08:58:42.1740403Z 9a5652110360: Pull complete 2025-12-04T08:58:42.7942157Z ed3d1e3387b9: Verifying Checksum 2025-12-04T08:58:42.7942577Z ed3d1e3387b9: Download complete 2025-12-04T08:58:42.8661895Z b29343478586: 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6ae51eb61a32: Pull complete 2025-12-04T09:03:09.4692491Z 1fd5341e66df: Pull complete 2025-12-04T09:03:10.8597007Z 72a7c87e35e4: Pull complete 2025-12-04T09:03:11.0771727Z ec36862ac98e: Pull complete 2025-12-04T09:03:12.3106773Z 05ddbf246e8a: Pull complete 2025-12-04T09:03:12.6208514Z Digest: sha256:ba21003510dba4bdeed83df81a56fa468e0ee1b612a9445ae1f402a280804f97 2025-12-04T09:03:12.6566604Z 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 2025-12-04T09:03:12.6810743Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:03:12.6897269Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:03:12.6898324Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:03:12.6907581Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:03:12.6907850Z env: 2025-12-04T09:03:12.6908002Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:03:12.6908193Z ##[endgroup] 2025-12-04T09:03:12.7071960Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-12-04T09:03:12.7072304Z with: 2025-12-04T09:03:12.7072465Z driver-version: 580.82.07 2025-12-04T09:03:12.7072650Z env: 2025-12-04T09:03:12.7072803Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:03:12.7072996Z ##[endgroup] 2025-12-04T09:03:12.7175264Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:03:12.7175916Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:03:12.7183262Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:03:12.7183545Z env: 2025-12-04T09:03:12.7183707Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:03:12.7183888Z ##[endgroup] 2025-12-04T09:03:12.7256301Z ##[group]Run set -euo pipefail 2025-12-04T09:03:12.7256610Z set -euo pipefail 2025-12-04T09:03:12.7256873Z  2025-12-04T09:03:12.7257066Z has_gpu=false 2025-12-04T09:03:12.7257291Z devices="" 2025-12-04T09:03:12.7257493Z  2025-12-04T09:03:12.7257741Z if command -v nvidia-smi >/dev/null 2>&1; then 2025-12-04T09:03:12.7258255Z  if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:03:12.7258603Z  has_gpu=true 2025-12-04T09:03:12.7258865Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:03:12.7259145Z  fi 2025-12-04T09:03:12.7259316Z fi 2025-12-04T09:03:12.7259465Z  2025-12-04T09:03:12.7259630Z if [ "$has_gpu" = false ]; then 2025-12-04T09:03:12.7259909Z  if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:03:12.7260177Z  has_gpu=true 2025-12-04T09:03:12.7260382Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:03:12.7260602Z  fi 2025-12-04T09:03:12.7260760Z fi 2025-12-04T09:03:12.7260915Z  2025-12-04T09:03:12.7261133Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then 2025-12-04T09:03:12.7261501Z  if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:03:12.7261791Z  has_gpu=true 2025-12-04T09:03:12.7261997Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:03:12.7262218Z  fi 2025-12-04T09:03:12.7262372Z fi 2025-12-04T09:03:12.7262513Z  2025-12-04T09:03:12.7262735Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT" 2025-12-04T09:03:12.7263113Z printf 'DETECTED_DEVICES<> "$GITHUB_OUTPUT" 2025-12-04T09:03:12.7270120Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:03:12.7270396Z env: 2025-12-04T09:03:12.7270569Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:03:12.7270760Z ##[endgroup] 2025-12-04T09:03:14.3760764Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:03:14.3761148Z if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:03:14.3761428Z  echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}" 2025-12-04T09:03:14.3761794Z  echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-12-04T09:03:14.3762210Z else 2025-12-04T09:03:14.3762427Z  echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}" 2025-12-04T09:03:14.3762673Z fi 2025-12-04T09:03:14.3771318Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:03:14.3771601Z env: 2025-12-04T09:03:14.3771775Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:03:14.3771976Z HAS_NVIDIA: true 2025-12-04T09:03:14.3772144Z ##[endgroup] 2025-12-04T09:03:14.3858070Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2025-12-04T09:03:14.3858614Z with: 2025-12-04T09:03:14.3858846Z timeout_minutes: 10 2025-12-04T09:03:14.3859029Z max_attempts: 3 2025-12-04T09:03:14.3878445Z command: # Is it disgusting to have a full shell script here in this github action? Sure # But is it the best way to make it so that this action relies on nothing else? Absolutely set -eou pipefail DISTRIBUTION=$(. /etc/os-release;echo $ID$VERSION_ID) DRIVER_FN="NVIDIA-Linux-x86_64-${DRIVER_VERSION}.run" install_nvidia_docker2_amzn2() { ( set -x # Needed for yum-config-manager sudo yum install -y yum-utils if [[ "${DISTRIBUTION}" == "amzn2023" ]] ; then YUM_REPO_URL="https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo" else # Amazon Linux 2 YUM_REPO_URL="https://nvidia.github.io/nvidia-docker/${DISTRIBUTION}/nvidia-docker.repo" fi sudo yum-config-manager --add-repo "${YUM_REPO_URL}" sudo yum install -y \ nvidia-container-toolkit-1.17.8 \ libnvidia-container-tools-1.17.8 \ libnvidia-container1-1.17.8 \ nvidia-container-toolkit-base-1.17.8 sudo systemctl restart docker ) } install_nvidia_docker2_ubuntu20() { ( set -x # Install nvidia-driver package if not installed status="$(dpkg-query -W --showformat='${db:Status-Status}' nvidia-docker2 2>&1)" if [ ! $? = 0 ] || [ ! "$status" = installed ]; then sudo apt-get install -y nvidia-container-toolkit-1.17.8 sudo systemctl restart docker fi ) } pre_install_nvidia_driver_amzn2() { ( # Purge any nvidia driver installed from RHEL repo sudo yum remove -y nvidia-driver-latest-dkms ) } install_nvidia_driver_common() { ( # Try to gather more information about the runner and its existing NVIDIA driver if any echo "Before installing NVIDIA driver" lspci lsmod modinfo nvidia || true HAS_NVIDIA_DRIVER=0 # Check if NVIDIA driver has already been installed if [ -x "$(command -v nvidia-smi)" ]; then set +e # The driver exists, check its version next. Also check only the first GPU if there are more than one of them # so that the same driver version is not print over multiple lines INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0) NVIDIA_SMI_STATUS=$? if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then echo "Failed to get NVIDIA driver version ($INSTALLED_DRIVER_VERSION). Continuing" elif [ "$INSTALLED_DRIVER_VERSION" != "$DRIVER_VERSION" ]; then echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has been installed, but we expect to have $DRIVER_VERSION instead. Continuing" # Turn off persistent mode so that the installation script can unload the kernel module sudo killall nvidia-persistenced || true else HAS_NVIDIA_DRIVER=1 echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has already been installed. Skipping NVIDIA driver installation" fi set -e fi if [ "$HAS_NVIDIA_DRIVER" -eq 0 ]; then # CAUTION: this may need to be updated in future if [ "${DISTRIBUTION}" != ubuntu20.04 ]; then sudo yum groupinstall -y "Development Tools" # ensure our kernel install is the same as our underlying kernel, # groupinstall "Development Tools" has a habit of mismatching kernel headers sudo yum install -y "kernel-devel-uname-r == $(uname -r)" sudo modprobe backlight fi sudo curl -fsL -o /tmp/nvidia_driver "https://s3.amazonaws.com/ossci-linux/nvidia_driver/$DRIVER_FN" set +e sudo /bin/bash /tmp/nvidia_driver -s --no-drm NVIDIA_INSTALLATION_STATUS=$? RESET_GPU=0 if [ "$NVIDIA_INSTALLATION_STATUS" -ne 0 ]; then sudo cat /var/log/nvidia-installer.log # Fail to install NVIDIA driver, try to reset the GPU RESET_GPU=1 elif [ -x "$(command -v nvidia-smi)" ]; then # Check again if nvidia-smi works even if the driver installation completes successfully INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0) NVIDIA_SMI_STATUS=$? if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then RESET_GPU=1 fi fi if [ "$RESET_GPU" -eq 1 ]; then NVIDIA_DEVICES=$(lspci -D | grep -i NVIDIA | cut -d' ' -f1) # The GPU can get stuck in a failure state if somehow the test crashs the GPU microcode. When this # happens, we'll try to reset all NVIDIA devices https://github.com/pytorch/pytorch/issues/88388 for PCI_ID in $NVIDIA_DEVICES; do DEVICE_ENABLED=$(cat /sys/bus/pci/devices/$PCI_ID/enable) echo "Reseting $PCI_ID (enabled state: $DEVICE_ENABLED)" # This requires sudo permission of course echo "1" | sudo tee /sys/bus/pci/devices/$PCI_ID/reset sleep 1 done fi sudo rm -fv /tmp/nvidia_driver set -e fi ) } post_install_nvidia_driver_common() { ( sudo modprobe nvidia || true echo "After installing NVIDIA driver" lspci lsmod modinfo nvidia || true ( set +e nvidia-smi # NB: Annoyingly, nvidia-smi command returns successfully with return code 0 even in # the case where the driver has already crashed as it still can get the driver version # and some basic information like the bus ID. However, the rest of the information # would be missing (ERR!), for example: # # +-----------------------------------------------------------------------------+ # | NVIDIA-SMI 525.89.02 Driver Version: 525.89.02 CUDA Version: 12.0 | # |-------------------------------+----------------------+----------------------+ # | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | # | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | # | | | MIG M. | # |===============================+======================+======================| # | 0 ERR! Off | 00000000:00:1E.0 Off | ERR! | # |ERR! ERR! ERR! ERR! / ERR! | 4184MiB / 23028MiB | ERR! Default | # | | | ERR! | # +-------------------------------+----------------------+----------------------+ # # +-----------------------------------------------------------------------------+ # | Processes: | # | GPU GI CI PID Type Process name GPU Memory | # | ID ID Usage | # |=============================================================================| # +-----------------------------------------------------------------------------+ # # This should be reported as a failure instead as it will guarantee to fail when # Docker tries to run with --gpus all # # So, the correct check here is to query one of the missing piece of info like # GPU name, so that the command can fail accordingly nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 NVIDIA_SMI_STATUS=$? # Allowable exit statuses for nvidia-smi, see: https://github.com/NVIDIA/gpu-operator/issues/285 if [ "$NVIDIA_SMI_STATUS" -eq 0 ] || [ "$NVIDIA_SMI_STATUS" -eq 14 ]; then echo "INFO: Ignoring allowed status ${NVIDIA_SMI_STATUS}" else echo "ERROR: nvidia-smi exited with unresolved status ${NVIDIA_SMI_STATUS}" exit ${NVIDIA_SMI_STATUS} fi set -e ) ) } install_nvidia_driver_amzn2() { ( set -x pre_install_nvidia_driver_amzn2 install_nvidia_driver_common post_install_nvidia_driver_common ) } install_nvidia_driver_ubuntu20() { ( set -x install_nvidia_driver_common post_install_nvidia_driver_common ) } echo "== Installing nvidia driver ${DRIVER_FN} ==" case "${DISTRIBUTION}" in amzn*) install_nvidia_driver_amzn2 ;; ubuntu20.04) install_nvidia_driver_ubuntu20 ;; *) echo "ERROR: Unknown distribution ${DISTRIBUTION}" exit 1 ;; esac # Install container toolkit based on distribution echo "== Installing nvidia container toolkit for ${DISTRIBUTION} ==" case "${DISTRIBUTION}" in amzn*) install_nvidia_docker2_amzn2 ;; ubuntu20.04) install_nvidia_docker2_ubuntu20 ;; *) echo "ERROR: Unknown distribution ${DISTRIBUTION}" exit 1 ;; esac # Fix https://github.com/NVIDIA/nvidia-docker/issues/1648 on runners with # more than one GPUs. This just needs to be run once. The command fails # on subsequent runs and complains that the mode is already on, but that's # ok sudo nvidia-persistenced || true # This should show persistence mode ON nvidia-smi # check if the container-toolkit is correctly installed and CUDA is available inside a container docker run --rm -t --gpus=all public.ecr.aws/docker/library/python:3.13 nvidia-smi 2025-12-04T09:03:14.3898429Z retry_wait_seconds: 10 2025-12-04T09:03:14.3898638Z polling_interval_seconds: 1 2025-12-04T09:03:14.3898836Z warning_on_retry: true 2025-12-04T09:03:14.3899086Z continue_on_error: false 2025-12-04T09:03:14.3899398Z env: 2025-12-04T09:03:14.3899549Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:03:14.3899741Z HAS_NVIDIA_GPU: true 2025-12-04T09:03:14.3899983Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:03:14.3900245Z DRIVER_VERSION: 580.82.07 2025-12-04T09:03:14.3900435Z ##[endgroup] 2025-12-04T09:03:14.4549593Z == Installing nvidia driver NVIDIA-Linux-x86_64-580.82.07.run == 2025-12-04T09:03:14.4550968Z + pre_install_nvidia_driver_amzn2 2025-12-04T09:03:14.4553149Z + sudo yum remove -y nvidia-driver-latest-dkms 2025-12-04T09:03:15.0426435Z No match for argument: nvidia-driver-latest-dkms 2025-12-04T09:03:15.0426985Z No packages marked for removal. 2025-12-04T09:03:15.0480284Z Dependencies resolved. 2025-12-04T09:03:15.0489788Z Nothing to do. 2025-12-04T09:03:15.0490537Z Complete! 2025-12-04T09:03:15.1046117Z + install_nvidia_driver_common 2025-12-04T09:03:15.1050755Z + echo 'Before installing NVIDIA driver' 2025-12-04T09:03:15.1052334Z Before installing NVIDIA driver 2025-12-04T09:03:15.1054315Z + lspci 2025-12-04T09:03:15.1768424Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-12-04T09:03:15.1768952Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-12-04T09:03:15.1769507Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-12-04T09:03:15.1770010Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-12-04T09:03:15.1770478Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-12-04T09:03:15.1770925Z 01:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1771243Z 02:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1771579Z 03:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1771889Z 03:00.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1772204Z 03:00.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1772807Z 03:00.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1773167Z 03:00.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1773476Z 03:00.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1773782Z 03:00.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1774077Z 03:00.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1774376Z 03:01.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1774679Z 03:01.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1774986Z 03:01.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1775301Z 03:01.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1775774Z 03:01.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1776067Z 03:01.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1776363Z 03:01.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1776680Z 03:01.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1776986Z 03:02.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1777278Z 03:02.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1777576Z 03:02.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1777872Z 03:02.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1778298Z 03:02.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1778597Z 03:02.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1778912Z 03:02.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1779207Z 03:02.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1779507Z 03:03.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1779810Z 03:03.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1780116Z 03:03.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1780422Z 03:03.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1780673Z 03:03.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1780919Z 03:03.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1781154Z 03:03.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1781409Z 03:03.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1781659Z 24:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1781901Z 25:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1782147Z 26:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1782396Z 26:00.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1782642Z 26:00.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1782879Z 26:00.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1783126Z 26:00.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1783369Z 26:00.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1783611Z 26:00.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1783856Z 26:00.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1784106Z 26:01.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1784422Z 27:00.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-12-04T09:03:15.1784757Z 30:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1785025Z 31:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1785273Z 32:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1785590Z 33:00.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T09:03:15.1785917Z 34:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:15.1786202Z 35:00.0 3D controller: NVIDIA Corporation AD104GL [L4] (rev a1) 2025-12-04T09:03:15.1786460Z + lsmod 2025-12-04T09:03:15.1811665Z Module Size Used by 2025-12-04T09:03:15.1811957Z nvidia_uvm 1925120 0 2025-12-04T09:03:15.1812701Z nvidia 14286848 1 nvidia_uvm 2025-12-04T09:03:15.1813037Z drm 602112 1 nvidia 2025-12-04T09:03:15.1813324Z drm_panel_orientation_quirks 32768 1 drm 2025-12-04T09:03:15.1813840Z backlight 24576 1 drm 2025-12-04T09:03:15.1814137Z i2c_core 110592 2 nvidia,drm 2025-12-04T09:03:15.1814414Z xt_conntrack 16384 1 2025-12-04T09:03:15.1814662Z nft_chain_nat 16384 3 2025-12-04T09:03:15.1814891Z xt_MASQUERADE 20480 1 2025-12-04T09:03:15.1815165Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-12-04T09:03:15.1815489Z nf_conntrack_netlink 57344 0 2025-12-04T09:03:15.1815865Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-12-04T09:03:15.1816270Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-12-04T09:03:15.1816711Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-12-04T09:03:15.1816985Z xfrm_user 57344 1 2025-12-04T09:03:15.1817219Z xfrm_algo 16384 1 xfrm_user 2025-12-04T09:03:15.1817482Z xt_addrtype 16384 2 2025-12-04T09:03:15.1817715Z nft_compat 20480 4 2025-12-04T09:03:15.1817990Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-12-04T09:03:15.1818500Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-12-04T09:03:15.1818858Z br_netfilter 36864 0 2025-12-04T09:03:15.1819105Z bridge 323584 1 br_netfilter 2025-12-04T09:03:15.1819367Z stp 16384 1 bridge 2025-12-04T09:03:15.1819623Z llc 16384 2 bridge,stp 2025-12-04T09:03:15.1819878Z overlay 167936 0 2025-12-04T09:03:15.1820089Z tls 139264 0 2025-12-04T09:03:15.1820307Z nls_ascii 16384 1 2025-12-04T09:03:15.1820537Z nls_cp437 20480 1 2025-12-04T09:03:15.1820721Z vfat 24576 1 2025-12-04T09:03:15.1820903Z fat 86016 1 vfat 2025-12-04T09:03:15.1821101Z sunrpc 700416 1 2025-12-04T09:03:15.1821281Z i8042 45056 0 2025-12-04T09:03:15.1821459Z ena 184320 0 2025-12-04T09:03:15.1821650Z serio 28672 3 i8042 2025-12-04T09:03:15.1821846Z ghash_clmulni_intel 16384 0 2025-12-04T09:03:15.1822039Z button 24576 0 2025-12-04T09:03:15.1822222Z sch_fq_codel 20480 9 2025-12-04T09:03:15.1822401Z dm_mod 188416 0 2025-12-04T09:03:15.1822573Z fuse 184320 1 2025-12-04T09:03:15.1822754Z loop 36864 0 2025-12-04T09:03:15.1822937Z configfs 57344 1 2025-12-04T09:03:15.1823111Z dmi_sysfs 20480 0 2025-12-04T09:03:15.1823296Z crc32_pclmul 16384 0 2025-12-04T09:03:15.1823484Z crc32c_intel 24576 0 2025-12-04T09:03:15.1823666Z efivarfs 24576 1 2025-12-04T09:03:15.1823868Z + modinfo nvidia 2025-12-04T09:03:15.1829561Z filename: /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-12-04T09:03:15.1829922Z import_ns: DMA_BUF 2025-12-04T09:03:15.1830116Z alias: char-major-195-* 2025-12-04T09:03:15.1830322Z version: 580.82.07 2025-12-04T09:03:15.1830547Z supported: external 2025-12-04T09:03:15.1830795Z license: Dual MIT/GPL 2025-12-04T09:03:15.1831082Z firmware: nvidia/580.82.07/gsp_tu10x.bin 2025-12-04T09:03:15.1831400Z firmware: nvidia/580.82.07/gsp_ga10x.bin 2025-12-04T09:03:15.1831693Z srcversion: BA7240A71DCF7DC6FE88C1D 2025-12-04T09:03:15.1832007Z alias: of:N*T*Cnvidia,tegra264-displayC* 2025-12-04T09:03:15.1832331Z alias: of:N*T*Cnvidia,tegra264-display 2025-12-04T09:03:15.1832643Z alias: of:N*T*Cnvidia,tegra234-displayC* 2025-12-04T09:03:15.1832954Z alias: of:N*T*Cnvidia,tegra234-display 2025-12-04T09:03:15.1833269Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-12-04T09:03:15.1833568Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-12-04T09:03:15.1833854Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-12-04T09:03:15.1834134Z depends: i2c-core,drm 2025-12-04T09:03:15.1834369Z retpoline: Y 2025-12-04T09:03:15.1834704Z name: nvidia 2025-12-04T09:03:15.1835061Z vermagic: 6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-12-04T09:03:15.1835525Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-12-04T09:03:15.1835940Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-12-04T09:03:15.1836324Z parm: NVreg_ResmanDebugLevel:int 2025-12-04T09:03:15.1836622Z parm: NVreg_RmLogonRC:int 2025-12-04T09:03:15.1836913Z parm: NVreg_ModifyDeviceFiles:int 2025-12-04T09:03:15.1837196Z parm: NVreg_DeviceFileUID:int 2025-12-04T09:03:15.1837483Z parm: NVreg_DeviceFileGID:int 2025-12-04T09:03:15.1837856Z parm: NVreg_DeviceFileMode:int 2025-12-04T09:03:15.1838187Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-12-04T09:03:15.1838548Z parm: NVreg_UsePageAttributeTable:int 2025-12-04T09:03:15.1838855Z parm: NVreg_EnablePCIeGen3:int 2025-12-04T09:03:15.1839141Z parm: NVreg_EnableMSI:int 2025-12-04T09:03:15.1839422Z parm: NVreg_EnableStreamMemOPs:int 2025-12-04T09:03:15.1839759Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-12-04T09:03:15.1840134Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-12-04T09:03:15.1840517Z parm: NVreg_EnableS0ixPowerManagement:int 2025-12-04T09:03:15.1840954Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-12-04T09:03:15.1841266Z parm: NVreg_DynamicPowerManagement:int 2025-12-04T09:03:15.1841575Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-12-04T09:03:15.1841898Z parm: NVreg_EnableGpuFirmware:int 2025-12-04T09:03:15.1842151Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-12-04T09:03:15.1842423Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-12-04T09:03:15.1842697Z parm: NVreg_EnableUserNUMAManagement:int 2025-12-04T09:03:15.1842961Z parm: NVreg_MemoryPoolSize:int 2025-12-04T09:03:15.1843206Z parm: NVreg_KMallocHeapMaxSize:int 2025-12-04T09:03:15.1843446Z parm: NVreg_VMallocHeapMaxSize:int 2025-12-04T09:03:15.1843684Z parm: NVreg_IgnoreMMIOCheck:int 2025-12-04T09:03:15.1843977Z parm: NVreg_NvLinkDisable:int 2025-12-04T09:03:15.1844227Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-12-04T09:03:15.1844495Z parm: NVreg_RegisterPCIDriver:int 2025-12-04T09:03:15.1844756Z parm: NVreg_RegisterPlatformDeviceDriver:int 2025-12-04T09:03:15.1845019Z parm: NVreg_EnableResizableBar:int 2025-12-04T09:03:15.1845266Z parm: NVreg_EnableDbgBreakpoint:int 2025-12-04T09:03:15.1845526Z parm: NVreg_EnableNonblockingOpen:int 2025-12-04T09:03:15.1845789Z parm: NVreg_CoherentGPUMemoryMode:charp 2025-12-04T09:03:15.1846036Z parm: NVreg_RegistryDwords:charp 2025-12-04T09:03:15.1846286Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-12-04T09:03:15.1846531Z parm: NVreg_RmMsg:charp 2025-12-04T09:03:15.1846758Z parm: NVreg_GpuBlacklist:charp 2025-12-04T09:03:15.1846998Z parm: NVreg_TemporaryFilePath:charp 2025-12-04T09:03:15.1847244Z parm: NVreg_ExcludedGpus:charp 2025-12-04T09:03:15.1847470Z parm: NVreg_DmaRemapPeerMmio:int 2025-12-04T09:03:15.1847715Z parm: NVreg_RmNvlinkBandwidth:charp 2025-12-04T09:03:15.1847989Z parm: NVreg_RmNvlinkBandwidthLinkCount:int 2025-12-04T09:03:15.1848245Z parm: NVreg_ImexChannelCount:int 2025-12-04T09:03:15.1848476Z parm: NVreg_CreateImexChannel0:int 2025-12-04T09:03:15.1848729Z parm: NVreg_GrdmaPciTopoCheckOverride:int 2025-12-04T09:03:15.1848993Z parm: rm_firmware_active:charp 2025-12-04T09:03:15.1849206Z + HAS_NVIDIA_DRIVER=0 2025-12-04T09:03:15.1849387Z ++ command -v nvidia-smi 2025-12-04T09:03:15.1849579Z + '[' -x /usr/bin/nvidia-smi ']' 2025-12-04T09:03:15.1849763Z + set +e 2025-12-04T09:03:15.1850102Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0 2025-12-04T09:03:16.8240075Z + INSTALLED_DRIVER_VERSION=580.82.07 2025-12-04T09:03:16.8240370Z + NVIDIA_SMI_STATUS=0 2025-12-04T09:03:16.8241083Z + '[' 0 -ne 0 ']' 2025-12-04T09:03:16.8241273Z + '[' 580.82.07 '!=' 580.82.07 ']' 2025-12-04T09:03:16.8241526Z + HAS_NVIDIA_DRIVER=1 2025-12-04T09:03:16.8241946Z + echo 'NVIDIA driver (580.82.07) has already been installed. Skipping NVIDIA driver installation' 2025-12-04T09:03:16.8242386Z + set -e 2025-12-04T09:03:16.8242569Z + '[' 1 -eq 0 ']' 2025-12-04T09:03:16.8242938Z NVIDIA driver (580.82.07) has already been installed. Skipping NVIDIA driver installation 2025-12-04T09:03:16.8243756Z + post_install_nvidia_driver_common 2025-12-04T09:03:16.8246478Z + sudo modprobe nvidia 2025-12-04T09:03:16.9694955Z + echo 'After installing NVIDIA driver' 2025-12-04T09:03:16.9695270Z + lspci 2025-12-04T09:03:16.9695496Z After installing NVIDIA driver 2025-12-04T09:03:16.9860168Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-12-04T09:03:16.9860699Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-12-04T09:03:16.9861347Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-12-04T09:03:16.9861856Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-12-04T09:03:16.9862343Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-12-04T09:03:16.9862766Z 01:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9863086Z 02:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9863399Z 03:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9863740Z 03:00.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9864045Z 03:00.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9864437Z 03:00.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9864746Z 03:00.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9865045Z 03:00.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9865343Z 03:00.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9865641Z 03:00.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9865945Z 03:01.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9866241Z 03:01.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9866538Z 03:01.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9866861Z 03:01.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9867172Z 03:01.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9867468Z 03:01.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9867780Z 03:01.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9868083Z 03:01.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9868378Z 03:02.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9868683Z 03:02.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9868986Z 03:02.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9869286Z 03:02.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9869593Z 03:02.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9869894Z 03:02.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9870196Z 03:02.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9870492Z 03:02.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9870795Z 03:03.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9871097Z 03:03.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9871395Z 03:03.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9871713Z 03:03.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9871992Z 03:03.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9872321Z 03:03.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9872573Z 03:03.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9872820Z 03:03.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9873327Z 24:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9873599Z 25:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9873847Z 26:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9874095Z 26:00.1 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9874347Z 26:00.2 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9874592Z 26:00.3 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9874842Z 26:00.4 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9875080Z 26:00.5 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9875465Z 26:00.6 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9875794Z 26:00.7 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9876037Z 26:01.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9876357Z 27:00.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-12-04T09:03:16.9876687Z 30:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9876938Z 31:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9877175Z 32:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9877492Z 33:00.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T09:03:16.9877810Z 34:00.0 PCI bridge: Amazon.com, Inc. Device 0200 2025-12-04T09:03:16.9878084Z 35:00.0 3D controller: NVIDIA Corporation AD104GL [L4] (rev a1) 2025-12-04T09:03:16.9878345Z + lsmod 2025-12-04T09:03:16.9891542Z Module Size Used by 2025-12-04T09:03:16.9891844Z nvidia_uvm 1925120 0 2025-12-04T09:03:16.9892091Z nvidia 14286848 1 nvidia_uvm 2025-12-04T09:03:16.9892369Z drm 602112 1 nvidia 2025-12-04T09:03:16.9892655Z drm_panel_orientation_quirks 32768 1 drm 2025-12-04T09:03:16.9892946Z backlight 24576 1 drm 2025-12-04T09:03:16.9893225Z i2c_core 110592 2 nvidia,drm 2025-12-04T09:03:16.9893491Z xt_conntrack 16384 1 2025-12-04T09:03:16.9893736Z nft_chain_nat 16384 3 2025-12-04T09:03:16.9893965Z xt_MASQUERADE 20480 1 2025-12-04T09:03:16.9894240Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-12-04T09:03:16.9894545Z nf_conntrack_netlink 57344 0 2025-12-04T09:03:16.9894912Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-12-04T09:03:16.9895325Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-12-04T09:03:16.9895609Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-12-04T09:03:16.9895865Z xfrm_user 57344 1 2025-12-04T09:03:16.9896105Z xfrm_algo 16384 1 xfrm_user 2025-12-04T09:03:16.9896375Z xt_addrtype 16384 2 2025-12-04T09:03:16.9896597Z nft_compat 20480 4 2025-12-04T09:03:16.9896873Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-12-04T09:03:16.9897255Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-12-04T09:03:16.9897616Z br_netfilter 36864 0 2025-12-04T09:03:16.9897864Z bridge 323584 1 br_netfilter 2025-12-04T09:03:16.9898239Z stp 16384 1 bridge 2025-12-04T09:03:16.9898511Z llc 16384 2 bridge,stp 2025-12-04T09:03:16.9898769Z overlay 167936 0 2025-12-04T09:03:16.9899002Z tls 139264 0 2025-12-04T09:03:16.9899227Z nls_ascii 16384 1 2025-12-04T09:03:16.9899449Z nls_cp437 20480 1 2025-12-04T09:03:16.9899677Z vfat 24576 1 2025-12-04T09:03:16.9899908Z fat 86016 1 vfat 2025-12-04T09:03:16.9900151Z sunrpc 700416 1 2025-12-04T09:03:16.9900378Z i8042 45056 0 2025-12-04T09:03:16.9900595Z ena 184320 0 2025-12-04T09:03:16.9900825Z serio 28672 3 i8042 2025-12-04T09:03:16.9901083Z ghash_clmulni_intel 16384 0 2025-12-04T09:03:16.9901326Z button 24576 0 2025-12-04T09:03:16.9901539Z sch_fq_codel 20480 9 2025-12-04T09:03:16.9901827Z dm_mod 188416 0 2025-12-04T09:03:16.9902014Z fuse 184320 1 2025-12-04T09:03:16.9902194Z loop 36864 0 2025-12-04T09:03:16.9902370Z configfs 57344 1 2025-12-04T09:03:16.9902556Z dmi_sysfs 20480 0 2025-12-04T09:03:16.9902742Z crc32_pclmul 16384 0 2025-12-04T09:03:16.9902917Z crc32c_intel 24576 0 2025-12-04T09:03:16.9903101Z efivarfs 24576 1 2025-12-04T09:03:16.9903296Z + modinfo nvidia 2025-12-04T09:03:16.9908500Z filename: /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-12-04T09:03:16.9908954Z import_ns: DMA_BUF 2025-12-04T09:03:16.9909150Z alias: char-major-195-* 2025-12-04T09:03:16.9909355Z version: 580.82.07 2025-12-04T09:03:16.9909539Z supported: external 2025-12-04T09:03:16.9909730Z license: Dual MIT/GPL 2025-12-04T09:03:16.9909946Z firmware: nvidia/580.82.07/gsp_tu10x.bin 2025-12-04T09:03:16.9910205Z firmware: nvidia/580.82.07/gsp_ga10x.bin 2025-12-04T09:03:16.9910457Z srcversion: BA7240A71DCF7DC6FE88C1D 2025-12-04T09:03:16.9910712Z alias: of:N*T*Cnvidia,tegra264-displayC* 2025-12-04T09:03:16.9910973Z alias: of:N*T*Cnvidia,tegra264-display 2025-12-04T09:03:16.9911232Z alias: of:N*T*Cnvidia,tegra234-displayC* 2025-12-04T09:03:16.9911498Z alias: of:N*T*Cnvidia,tegra234-display 2025-12-04T09:03:16.9911820Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-12-04T09:03:16.9912448Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-12-04T09:03:16.9912752Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-12-04T09:03:16.9913034Z depends: i2c-core,drm 2025-12-04T09:03:16.9913266Z retpoline: Y 2025-12-04T09:03:16.9913515Z name: nvidia 2025-12-04T09:03:16.9913992Z vermagic: 6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-12-04T09:03:16.9914452Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-12-04T09:03:16.9914861Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-12-04T09:03:16.9915266Z parm: NVreg_ResmanDebugLevel:int 2025-12-04T09:03:16.9915554Z parm: NVreg_RmLogonRC:int 2025-12-04T09:03:16.9915830Z parm: NVreg_ModifyDeviceFiles:int 2025-12-04T09:03:16.9916120Z parm: NVreg_DeviceFileUID:int 2025-12-04T09:03:16.9916396Z parm: NVreg_DeviceFileGID:int 2025-12-04T09:03:16.9916671Z parm: NVreg_DeviceFileMode:int 2025-12-04T09:03:16.9917023Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-12-04T09:03:16.9917392Z parm: NVreg_UsePageAttributeTable:int 2025-12-04T09:03:16.9917697Z parm: NVreg_EnablePCIeGen3:int 2025-12-04T09:03:16.9917967Z parm: NVreg_EnableMSI:int 2025-12-04T09:03:16.9918248Z parm: NVreg_EnableStreamMemOPs:int 2025-12-04T09:03:16.9918578Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-12-04T09:03:16.9918944Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-12-04T09:03:16.9919299Z parm: NVreg_EnableS0ixPowerManagement:int 2025-12-04T09:03:16.9919686Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-12-04T09:03:16.9920060Z parm: NVreg_DynamicPowerManagement:int 2025-12-04T09:03:16.9920448Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-12-04T09:03:16.9920825Z parm: NVreg_EnableGpuFirmware:int 2025-12-04T09:03:16.9921136Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-12-04T09:03:16.9921468Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-12-04T09:03:16.9921825Z parm: NVreg_EnableUserNUMAManagement:int 2025-12-04T09:03:16.9922088Z parm: NVreg_MemoryPoolSize:int 2025-12-04T09:03:16.9922326Z parm: NVreg_KMallocHeapMaxSize:int 2025-12-04T09:03:16.9922567Z parm: NVreg_VMallocHeapMaxSize:int 2025-12-04T09:03:16.9922804Z parm: NVreg_IgnoreMMIOCheck:int 2025-12-04T09:03:16.9923187Z parm: NVreg_NvLinkDisable:int 2025-12-04T09:03:16.9923454Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-12-04T09:03:16.9923720Z parm: NVreg_RegisterPCIDriver:int 2025-12-04T09:03:16.9923980Z parm: NVreg_RegisterPlatformDeviceDriver:int 2025-12-04T09:03:16.9924238Z parm: NVreg_EnableResizableBar:int 2025-12-04T09:03:16.9924481Z parm: NVreg_EnableDbgBreakpoint:int 2025-12-04T09:03:16.9924730Z parm: NVreg_EnableNonblockingOpen:int 2025-12-04T09:03:16.9924985Z parm: NVreg_CoherentGPUMemoryMode:charp 2025-12-04T09:03:16.9925351Z parm: NVreg_RegistryDwords:charp 2025-12-04T09:03:16.9925602Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-12-04T09:03:16.9925843Z parm: NVreg_RmMsg:charp 2025-12-04T09:03:16.9926056Z parm: NVreg_GpuBlacklist:charp 2025-12-04T09:03:16.9926293Z parm: NVreg_TemporaryFilePath:charp 2025-12-04T09:03:16.9926536Z parm: NVreg_ExcludedGpus:charp 2025-12-04T09:03:16.9926762Z parm: NVreg_DmaRemapPeerMmio:int 2025-12-04T09:03:16.9927013Z parm: NVreg_RmNvlinkBandwidth:charp 2025-12-04T09:03:16.9927273Z parm: NVreg_RmNvlinkBandwidthLinkCount:int 2025-12-04T09:03:16.9927524Z parm: NVreg_ImexChannelCount:int 2025-12-04T09:03:16.9927759Z parm: NVreg_CreateImexChannel0:int 2025-12-04T09:03:16.9928010Z parm: NVreg_GrdmaPciTopoCheckOverride:int 2025-12-04T09:03:16.9928254Z parm: rm_firmware_active:charp 2025-12-04T09:03:16.9928460Z + set +e 2025-12-04T09:03:16.9928613Z + nvidia-smi 2025-12-04T09:03:18.4497191Z Thu Dec 4 09:03:18 2025 2025-12-04T09:03:18.4497599Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:03:18.4498087Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T09:03:18.4498670Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:03:18.4499143Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:03:18.4499652Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:03:18.4500040Z | | | MIG M. | 2025-12-04T09:03:18.4500332Z |=========================================+========================+======================| 2025-12-04T09:03:18.4565943Z | 0 NVIDIA L4 Off | 00000000:35:00.0 Off | 0 | 2025-12-04T09:03:18.4566394Z | N/A 45C P0 30W / 72W | 0MiB / 23034MiB | 4% Default | 2025-12-04T09:03:18.4566753Z | | | N/A | 2025-12-04T09:03:18.4567115Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:03:18.4567499Z 2025-12-04T09:03:18.4567698Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:03:18.4568095Z | Processes: | 2025-12-04T09:03:18.4568503Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:03:18.4568866Z | ID ID Usage | 2025-12-04T09:03:18.4569170Z |=========================================================================================| 2025-12-04T09:03:18.4571090Z | No running processes found | 2025-12-04T09:03:18.4571543Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:03:18.7838408Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 2025-12-04T09:03:20.2215004Z NVIDIA L4 2025-12-04T09:03:20.4032561Z + NVIDIA_SMI_STATUS=0 2025-12-04T09:03:20.4033333Z + '[' 0 -eq 0 ']' 2025-12-04T09:03:20.4033732Z + echo 'INFO: Ignoring allowed status 0' 2025-12-04T09:03:20.4034162Z + set -e 2025-12-04T09:03:20.4034485Z INFO: Ignoring allowed status 0 2025-12-04T09:03:20.4044680Z == Installing nvidia container toolkit for amzn2023 == 2025-12-04T09:03:20.4047762Z + sudo yum install -y yum-utils 2025-12-04T09:03:20.8129650Z Last metadata expiration check: 0:07:57 ago on Thu Dec 4 08:55:23 2025. 2025-12-04T09:03:20.8361033Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed. 2025-12-04T09:03:20.8783897Z Dependencies resolved. 2025-12-04T09:03:20.9009667Z Nothing to do. 2025-12-04T09:03:20.9010031Z Complete! 2025-12-04T09:03:20.9854233Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]] 2025-12-04T09:03:20.9854961Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:03:20.9855863Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:03:21.2992861Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:03:21.3418974Z + sudo yum install -y nvidia-container-toolkit-1.17.8 libnvidia-container-tools-1.17.8 libnvidia-container1-1.17.8 nvidia-container-toolkit-base-1.17.8 2025-12-04T09:03:21.8114095Z nvidia-container-toolkit 25 kB/s | 833 B 00:00 2025-12-04T09:03:21.8772869Z Dependencies resolved. 2025-12-04T09:03:21.8998353Z ================================================================================ 2025-12-04T09:03:21.8998812Z Package Arch Version Repository Size 2025-12-04T09:03:21.8999204Z ================================================================================ 2025-12-04T09:03:21.8999500Z Downgrading: 2025-12-04T09:03:21.8999858Z libnvidia-container-tools x86_64 1.17.8-1 nvidia-container-toolkit 40 k 2025-12-04T09:03:21.9000394Z libnvidia-container1 x86_64 1.17.8-1 nvidia-container-toolkit 1.0 M 2025-12-04T09:03:21.9000901Z nvidia-container-toolkit x86_64 1.17.8-1 nvidia-container-toolkit 1.2 M 2025-12-04T09:03:21.9001439Z nvidia-container-toolkit-base x86_64 1.17.8-1 nvidia-container-toolkit 5.8 M 2025-12-04T09:03:21.9001763Z 2025-12-04T09:03:21.9001850Z Transaction Summary 2025-12-04T09:03:21.9002087Z ================================================================================ 2025-12-04T09:03:21.9002386Z Downgrade 4 Packages 2025-12-04T09:03:21.9002531Z 2025-12-04T09:03:21.9002641Z Total download size: 8.0 M 2025-12-04T09:03:21.9003559Z Downloading Packages: 2025-12-04T09:03:22.0291612Z (1/4): libnvidia-container-tools-1.17.8-1.x86_6 317 kB/s | 40 kB 00:00 2025-12-04T09:03:22.0698928Z (2/4): nvidia-container-toolkit-1.17.8-1.x86_64 7.4 MB/s | 1.2 MB 00:00 2025-12-04T09:03:22.1179437Z (3/4): libnvidia-container1-1.17.8-1.x86_64.rpm 4.5 MB/s | 1.0 MB 00:00 2025-12-04T09:03:22.2849437Z (4/4): nvidia-container-toolkit-base-1.17.8-1.x 23 MB/s | 5.8 MB 00:00 2025-12-04T09:03:22.2860362Z -------------------------------------------------------------------------------- 2025-12-04T09:03:22.2863069Z Total 21 MB/s | 8.0 MB 00:00 2025-12-04T09:03:22.2865879Z Running transaction check 2025-12-04T09:03:22.2980600Z Transaction check succeeded. 2025-12-04T09:03:22.2981172Z Running transaction test 2025-12-04T09:03:22.3401451Z Transaction test succeeded. 2025-12-04T09:03:22.3404457Z Running transaction 2025-12-04T09:03:23.0683518Z Preparing : 1/1 2025-12-04T09:03:23.1951112Z Downgrading : nvidia-container-toolkit-base-1.17.8-1.x86_64 1/8 2025-12-04T09:03:23.2265763Z Downgrading : libnvidia-container1-1.17.8-1.x86_64 2/8 2025-12-04T09:03:23.3055268Z Running scriptlet: libnvidia-container1-1.17.8-1.x86_64 2/8 2025-12-04T09:03:23.4181039Z Downgrading : libnvidia-container-tools-1.17.8-1.x86_64 3/8 2025-12-04T09:03:23.4505944Z Downgrading : nvidia-container-toolkit-1.17.8-1.x86_64 4/8 2025-12-04T09:03:23.5242973Z Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64 4/8 2025-12-04T09:03:23.5296050Z Running scriptlet: nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:03:23.5297307Z Cleanup : nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:03:23.5617655Z Running scriptlet: nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:03:23.5668504Z Running scriptlet: libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:03:23.5669591Z Cleanup : libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:03:23.5847180Z Running scriptlet: libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:03:23.5904217Z Running scriptlet: libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:03:23.5905302Z Cleanup : libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:03:23.6350127Z Running scriptlet: libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:03:23.6403352Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:03:23.6404462Z Cleanup : nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:03:23.6571452Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:03:23.6997082Z Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64 8/8 2025-12-04T09:04:09.7889944Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:04:09.7890843Z Verifying : libnvidia-container-tools-1.17.8-1.x86_64 1/8 2025-12-04T09:04:09.7891650Z Verifying : libnvidia-container-tools-1.18.1-1.x86_64 2/8 2025-12-04T09:04:09.7892363Z Verifying : libnvidia-container1-1.17.8-1.x86_64 3/8 2025-12-04T09:04:09.7893104Z Verifying : libnvidia-container1-1.18.1-1.x86_64 4/8 2025-12-04T09:04:09.7893834Z Verifying : nvidia-container-toolkit-1.17.8-1.x86_64 5/8 2025-12-04T09:04:09.7894576Z Verifying : nvidia-container-toolkit-1.18.1-1.x86_64 6/8 2025-12-04T09:04:09.7895339Z Verifying : nvidia-container-toolkit-base-1.17.8-1.x86_64 7/8 2025-12-04T09:04:09.9279906Z Verifying : nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8================================================================================ 2025-12-04T09:04:09.9280530Z WARNING: 2025-12-04T09:04:09.9280778Z A newer release of "Amazon Linux" is available. 2025-12-04T09:04:09.9281010Z 2025-12-04T09:04:09.9281098Z Available Versions: 2025-12-04T09:04:09.9281244Z 2025-12-04T09:04:09.9281338Z Version 2023.9.20250929: 2025-12-04T09:04:09.9281635Z Run the following command to upgrade to 2023.9.20250929: 2025-12-04T09:04:09.9281878Z 2025-12-04T09:04:09.9282002Z dnf upgrade --releasever=2023.9.20250929 2025-12-04T09:04:09.9282223Z 2025-12-04T09:04:09.9282314Z Release notes: 2025-12-04T09:04:09.9282718Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20250929.html 2025-12-04T09:04:09.9283097Z 2025-12-04T09:04:09.9283180Z Version 2023.9.20251014: 2025-12-04T09:04:09.9283478Z Run the following command to upgrade to 2023.9.20251014: 2025-12-04T09:04:09.9283719Z 2025-12-04T09:04:09.9283838Z dnf upgrade --releasever=2023.9.20251014 2025-12-04T09:04:09.9284042Z 2025-12-04T09:04:09.9284132Z Release notes: 2025-12-04T09:04:09.9284511Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251014.html 2025-12-04T09:04:09.9284858Z 2025-12-04T09:04:09.9284947Z Version 2023.9.20251020: 2025-12-04T09:04:09.9285571Z Run the following command to upgrade to 2023.9.20251020: 2025-12-04T09:04:09.9285826Z 2025-12-04T09:04:09.9285952Z dnf upgrade --releasever=2023.9.20251020 2025-12-04T09:04:09.9286152Z 2025-12-04T09:04:09.9286237Z Release notes: 2025-12-04T09:04:09.9286611Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251020.html 2025-12-04T09:04:09.9286959Z 2025-12-04T09:04:09.9287040Z Version 2023.9.20251027: 2025-12-04T09:04:09.9287324Z Run the following command to upgrade to 2023.9.20251027: 2025-12-04T09:04:09.9287552Z 2025-12-04T09:04:09.9287675Z dnf upgrade --releasever=2023.9.20251027 2025-12-04T09:04:09.9288069Z 2025-12-04T09:04:09.9288152Z Release notes: 2025-12-04T09:04:09.9288523Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251027.html 2025-12-04T09:04:09.9288865Z 2025-12-04T09:04:09.9288946Z Version 2023.9.20251105: 2025-12-04T09:04:09.9289230Z Run the following command to upgrade to 2023.9.20251105: 2025-12-04T09:04:09.9289468Z 2025-12-04T09:04:09.9289580Z dnf upgrade --releasever=2023.9.20251105 2025-12-04T09:04:09.9289781Z 2025-12-04T09:04:09.9289855Z Release notes: 2025-12-04T09:04:09.9290214Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251105.html 2025-12-04T09:04:09.9290549Z 2025-12-04T09:04:09.9290628Z Version 2023.9.20251110: 2025-12-04T09:04:09.9290901Z Run the following command to upgrade to 2023.9.20251110: 2025-12-04T09:04:09.9291132Z 2025-12-04T09:04:09.9291229Z dnf upgrade --releasever=2023.9.20251110 2025-12-04T09:04:09.9291413Z 2025-12-04T09:04:09.9291502Z Release notes: 2025-12-04T09:04:09.9291807Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251110.html 2025-12-04T09:04:09.9292081Z 2025-12-04T09:04:09.9292143Z Version 2023.9.20251117: 2025-12-04T09:04:09.9292360Z Run the following command to upgrade to 2023.9.20251117: 2025-12-04T09:04:09.9292538Z 2025-12-04T09:04:09.9292627Z dnf upgrade --releasever=2023.9.20251117 2025-12-04T09:04:09.9292775Z 2025-12-04T09:04:09.9292837Z Release notes: 2025-12-04T09:04:09.9293125Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251117.html 2025-12-04T09:04:09.9293392Z 2025-12-04T09:04:09.9293486Z ================================================================================ 2025-12-04T09:04:09.9743732Z 2025-12-04T09:04:09.9743873Z 2025-12-04T09:04:09.9744205Z Downgraded: 2025-12-04T09:04:09.9744610Z libnvidia-container-tools-1.17.8-1.x86_64 2025-12-04T09:04:09.9745143Z libnvidia-container1-1.17.8-1.x86_64 2025-12-04T09:04:09.9745665Z nvidia-container-toolkit-1.17.8-1.x86_64 2025-12-04T09:04:09.9746185Z nvidia-container-toolkit-base-1.17.8-1.x86_64 2025-12-04T09:04:09.9746502Z 2025-12-04T09:04:09.9746590Z Complete! 2025-12-04T09:04:10.0435834Z + sudo systemctl restart docker 2025-12-04T09:04:19.8911687Z Thu Dec 4 09:04:19 2025 2025-12-04T09:04:19.8912406Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:04:19.8912909Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T09:04:19.8913380Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:04:19.8913867Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:04:19.8914366Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:04:19.8914786Z | | | MIG M. | 2025-12-04T09:04:19.8915088Z |=========================================+========================+======================| 2025-12-04T09:04:19.8985356Z | 0 NVIDIA L4 On | 00000000:35:00.0 Off | 0 | 2025-12-04T09:04:19.8986135Z | N/A 45C P0 30W / 72W | 0MiB / 23034MiB | 4% Default | 2025-12-04T09:04:19.8986526Z | | | N/A | 2025-12-04T09:04:19.8986891Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:04:19.8987158Z 2025-12-04T09:04:19.8987320Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:04:19.8987708Z | Processes: | 2025-12-04T09:04:19.8988349Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:04:19.8988727Z | ID ID Usage | 2025-12-04T09:04:19.8989040Z |=========================================================================================| 2025-12-04T09:04:19.8990151Z | No running processes found | 2025-12-04T09:04:19.8990597Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:04:20.0580252Z Unable to find image 'public.ecr.aws/docker/library/python:3.13' locally 2025-12-04T09:04:20.2620744Z 3.13: Pulling from docker/library/python 2025-12-04T09:04:20.3485673Z 53c88f1dfeb7: Pulling fs layer 2025-12-04T09:04:20.3486158Z eae668646f44: Pulling fs layer 2025-12-04T09:04:20.3486464Z ff2e6e687b6c: Pulling fs layer 2025-12-04T09:04:20.3486734Z 7c40a3faff76: Pulling fs layer 2025-12-04T09:04:20.3487152Z 967a3b1c8fef: Pulling fs layer 2025-12-04T09:04:20.3487394Z a64e1a44f22a: Pulling fs layer 2025-12-04T09:04:20.3487610Z 52655f8a5bcc: Pulling fs layer 2025-12-04T09:04:20.3487891Z 967a3b1c8fef: Waiting 2025-12-04T09:04:20.3488094Z 52655f8a5bcc: Waiting 2025-12-04T09:04:20.3488279Z 7c40a3faff76: Waiting 2025-12-04T09:04:20.4902318Z eae668646f44: Verifying Checksum 2025-12-04T09:04:20.4902682Z eae668646f44: Download complete 2025-12-04T09:04:20.5587546Z 53c88f1dfeb7: Verifying Checksum 2025-12-04T09:04:20.5587840Z 53c88f1dfeb7: Download complete 2025-12-04T09:04:20.5600436Z ff2e6e687b6c: Verifying Checksum 2025-12-04T09:04:20.5611860Z ff2e6e687b6c: Download complete 2025-12-04T09:04:20.6311866Z 967a3b1c8fef: Verifying Checksum 2025-12-04T09:04:20.6312583Z 967a3b1c8fef: Download complete 2025-12-04T09:04:20.6634731Z 52655f8a5bcc: Verifying Checksum 2025-12-04T09:04:20.6635176Z 52655f8a5bcc: Download complete 2025-12-04T09:04:20.7050365Z a64e1a44f22a: Verifying Checksum 2025-12-04T09:04:20.7050710Z a64e1a44f22a: Download complete 2025-12-04T09:04:21.1172849Z 7c40a3faff76: Verifying Checksum 2025-12-04T09:04:21.1173161Z 7c40a3faff76: Download complete 2025-12-04T09:04:21.8266382Z 53c88f1dfeb7: Pull complete 2025-12-04T09:04:22.3508347Z eae668646f44: Pull complete 2025-12-04T09:04:24.1280678Z ff2e6e687b6c: Pull complete 2025-12-04T09:04:28.9303762Z 7c40a3faff76: Pull complete 2025-12-04T09:04:29.3243674Z 967a3b1c8fef: Pull complete 2025-12-04T09:04:30.0147632Z a64e1a44f22a: Pull complete 2025-12-04T09:04:30.1502474Z 52655f8a5bcc: Pull complete 2025-12-04T09:04:30.2056719Z Digest: sha256:3f986299a7b8b44b0d8cf9bda2b22361ce5c3058ef5d7cb17fb7452506680ab0 2025-12-04T09:04:30.2633598Z Status: Downloaded newer image for public.ecr.aws/docker/library/python:3.13 2025-12-04T09:04:37.8306417Z Thu Dec 4 09:04:37 2025 2025-12-04T09:04:37.8306850Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:04:37.8307352Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T09:04:37.8307857Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:04:37.8308335Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:04:37.8309176Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:04:37.8309624Z | | | MIG M. | 2025-12-04T09:04:37.8309932Z |=========================================+========================+======================| 2025-12-04T09:04:37.8414048Z | 0 NVIDIA L4 On | 00000000:35:00.0 Off | 0 | 2025-12-04T09:04:37.8414511Z | N/A 43C P8 12W / 72W | 0MiB / 23034MiB | 0% Default | 2025-12-04T09:04:37.8414878Z | | | N/A | 2025-12-04T09:04:37.8415489Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:04:37.8417598Z 2025-12-04T09:04:37.8417804Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:04:37.8418268Z | Processes: | 2025-12-04T09:04:37.8418621Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:04:37.8418944Z | ID ID Usage | 2025-12-04T09:04:37.8419198Z |=========================================================================================| 2025-12-04T09:04:37.8422808Z | No running processes found | 2025-12-04T09:04:37.8423180Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:04:39.5142631Z Command completed after 1 attempt(s). 2025-12-04T09:04:39.5224937Z Prepare all required actions 2025-12-04T09:04:39.5248903Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-12-04T09:04:39.5249156Z with: 2025-12-04T09:04:39.5249701Z github-token: *** 2025-12-04T09:04:39.5249885Z env: 2025-12-04T09:04:39.5250039Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:39.5250239Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:39.5250474Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:39.5250738Z ##[endgroup] 2025-12-04T09:04:39.5263840Z ##[group]Run set -eux 2025-12-04T09:04:39.5264028Z set -eux 2025-12-04T09:04:39.5264340Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:04:39.5276756Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:39.5277029Z env: 2025-12-04T09:04:39.5277200Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:39.5277397Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:39.5277661Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:39.5278059Z GITHUB_TOKEN: *** 2025-12-04T09:04:39.5278234Z ##[endgroup] 2025-12-04T09:04:39.5309372Z + python3 .github/scripts/get_workflow_job_id.py 19922768520 i-021dbb4dc770d74ee 2025-12-04T09:04:40.6440106Z Setting output job-id=57116084932 2025-12-04T09:04:40.6440836Z Setting output job-name=linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 3, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests) 2025-12-04T09:04:40.6544916Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:04:40.6545508Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:04:40.6546204Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-12-04T09:04:40.6546836Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:04:40.6554754Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:04:40.6555032Z env: 2025-12-04T09:04:40.6555192Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:40.6555383Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:40.6555612Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:40.6555866Z JOB_ID: 57116084932 2025-12-04T09:04:40.6556334Z JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 3, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests) 2025-12-04T09:04:40.6556808Z WORKFLOW_NAME: trunk 2025-12-04T09:04:40.6556993Z WORKFLOW_RUN_ID: 19922768520 2025-12-04T09:04:40.6557193Z MONITOR_LOG_INTERVAL: 5 2025-12-04T09:04:40.6557385Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-12-04T09:04:40.6557602Z ##[endgroup] 2025-12-04T09:04:40.9173179Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:04:41.2447625Z Collecting psutil==5.9.8 2025-12-04T09:04:41.2593407Z 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) 2025-12-04T09:04:41.3261902Z Collecting dataclasses_json==0.6.7 2025-12-04T09:04:41.3293831Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-12-04T09:04:41.3551389Z Collecting nvidia-ml-py==11.525.84 2025-12-04T09:04:41.3582621Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-12-04T09:04:41.4643101Z Collecting marshmallow<4.0.0,>=3.18.0 2025-12-04T09:04:41.4678981Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-12-04T09:04:41.4886570Z Collecting typing-inspect<1,>=0.4.0 2025-12-04T09:04:41.4916381Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-12-04T09:04:41.5411203Z Collecting packaging>=17.0 2025-12-04T09:04:41.5442647Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-12-04T09:04:41.5909593Z Collecting typing-extensions>=3.7.4 2025-12-04T09:04:41.5942569Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-12-04T09:04:41.6126001Z Collecting mypy-extensions>=0.3.0 2025-12-04T09:04:41.6161863Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-12-04T09:04:41.6969616Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-12-04T09:04:41.9386829Z 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 2025-12-04T09:04:42.0900420Z Prepare all required actions 2025-12-04T09:04:42.0900768Z Getting action download info 2025-12-04T09:04:42.2428292Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T09:04:42.5268026Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-12-04T09:04:42.9424551Z ##[group]Run ./.github/actions/download-build-artifacts 2025-12-04T09:04:42.9424844Z with: 2025-12-04T09:04:42.9425036Z name: linux-jammy-cuda12.8-py3.10-gcc11 2025-12-04T09:04:42.9425281Z s3-bucket: gha-artifacts 2025-12-04T09:04:42.9425472Z env: 2025-12-04T09:04:42.9425623Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:42.9425814Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:42.9426044Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:42.9426313Z ##[endgroup] 2025-12-04T09:04:42.9451019Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:04:42.9451266Z with: 2025-12-04T09:04:42.9451487Z name: linux-jammy-cuda12.8-py3.10-gcc11 2025-12-04T09:04:42.9451737Z s3-bucket: gha-artifacts 2025-12-04T09:04:42.9451929Z region: us-east-1 2025-12-04T09:04:42.9452092Z env: 2025-12-04T09:04:42.9452248Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:04:42.9452426Z HAS_NVIDIA_GPU: true 2025-12-04T09:04:42.9452659Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:04:42.9452913Z ##[endgroup] 2025-12-04T09:04:43.3641049Z (node:58855) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:04:43.3641544Z 2025-12-04T09:04:43.3641723Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:04:43.3642217Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:04:43.5929292Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:04:43.5929945Z Found 1 objects with prefix pytorch/pytorch/19922768520/linux-jammy-cuda12.8-py3.10-gcc11/ 2025-12-04T09:04:43.5930589Z Starting download (1/1): 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2025-12-04T09:05:01.8599111Z inflating: .additional_ci_files/test-class-times.json 2025-12-04T09:05:01.8647242Z ##[group]Run rm artifacts.zip 2025-12-04T09:05:01.8647472Z rm artifacts.zip 2025-12-04T09:05:01.8656749Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:05:01.8657031Z env: 2025-12-04T09:05:01.8657356Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:01.8657557Z HAS_NVIDIA_GPU: true 2025-12-04T09:05:01.8657790Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:05:01.8658043Z ##[endgroup] 2025-12-04T09:05:01.9760598Z ##[group]Run df -H 2025-12-04T09:05:01.9760781Z df -H 2025-12-04T09:05:01.9768247Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:05:01.9768539Z env: 2025-12-04T09:05:01.9768701Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:01.9768918Z HAS_NVIDIA_GPU: true 2025-12-04T09:05:01.9769152Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:05:01.9769403Z ##[endgroup] 2025-12-04T09:05:01.9815033Z Filesystem Size Used Avail Use% Mounted on 2025-12-04T09:05:01.9815405Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-12-04T09:05:01.9815713Z tmpfs 33G 0 33G 0% /dev/shm 2025-12-04T09:05:01.9816017Z tmpfs 13G 775k 13G 1% /run 2025-12-04T09:05:01.9816310Z /dev/nvme0n1p1 161G 54G 108G 34% / 2025-12-04T09:05:01.9816655Z tmpfs 33G 17k 33G 1% /tmp 2025-12-04T09:05:01.9816982Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-12-04T09:05:01.9817299Z tmpfs 6.5G 0 6.5G 0% /run/user/0 2025-12-04T09:05:01.9845489Z Prepare all required actions 2025-12-04T09:05:01.9846295Z Getting action download info 2025-12-04T09:05:02.1443895Z ##[group]Run ./.github/actions/download-td-artifacts 2025-12-04T09:05:02.1444165Z with: 2025-12-04T09:05:02.1444332Z env: 2025-12-04T09:05:02.1444481Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:02.1444686Z HAS_NVIDIA_GPU: true 2025-12-04T09:05:02.1444912Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:05:02.1445167Z ##[endgroup] 2025-12-04T09:05:02.1542731Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:05:02.1542974Z with: 2025-12-04T09:05:02.1543135Z name: td_results 2025-12-04T09:05:02.1543307Z s3-bucket: gha-artifacts 2025-12-04T09:05:02.1543499Z region: us-east-1 2025-12-04T09:05:02.1543657Z env: 2025-12-04T09:05:02.1543812Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:02.1543999Z HAS_NVIDIA_GPU: true 2025-12-04T09:05:02.1544225Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:05:02.1544517Z ##[endgroup] 2025-12-04T09:05:02.5517448Z (node:58879) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:05:02.5517918Z 2025-12-04T09:05:02.5518091Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:05:02.5518916Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:05:02.5519403Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:05:02.6572549Z Found 1 objects with prefix pytorch/pytorch/19922768520/td_results/ 2025-12-04T09:05:02.6573138Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T09:05:02.7234887Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T09:05:02.7239865Z Artifact download has finished successfully 2025-12-04T09:05:02.7502576Z ##[group]Run mkdir -p .additional_ci_files 2025-12-04T09:05:02.7502963Z mkdir -p .additional_ci_files 2025-12-04T09:05:02.7503288Z mv td_results.json .additional_ci_files/td_results.json || true 2025-12-04T09:05:02.7511011Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:05:02.7511280Z env: 2025-12-04T09:05:02.7511454Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:02.7511653Z HAS_NVIDIA_GPU: true 2025-12-04T09:05:02.7511879Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:05:02.7512459Z ##[endgroup] 2025-12-04T09:05:02.7624079Z ##[group]Run .github/scripts/parse_ref.py 2025-12-04T09:05:02.7624408Z .github/scripts/parse_ref.py 2025-12-04T09:05:02.7631746Z shell: /usr/bin/bash -e {0} 2025-12-04T09:05:02.7631948Z env: 2025-12-04T09:05:02.7632120Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:02.7632315Z HAS_NVIDIA_GPU: true 2025-12-04T09:05:02.7632545Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:05:02.7632819Z ##[endgroup] 2025-12-04T09:05:02.7830789Z Setting output branch=main 2025-12-04T09:05:02.7927263Z Prepare all required actions 2025-12-04T09:05:02.7927588Z Getting action download info 2025-12-04T09:05:02.9302572Z ##[group]Run ./.github/actions/filter-test-configs 2025-12-04T09:05:02.9302815Z with: 2025-12-04T09:05:02.9303136Z github-token: *** 2025-12-04T09:05:02.9309963Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "libtorch_agnostic_targetting", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "libtorch_agnostic_targetting", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T09:05:02.9317631Z job-name: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 3, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests) 2025-12-04T09:05:02.9318092Z env: 2025-12-04T09:05:02.9318250Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:02.9318448Z HAS_NVIDIA_GPU: true 2025-12-04T09:05:02.9318682Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:05:02.9318940Z ##[endgroup] 2025-12-04T09:05:02.9394491Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T09:05:02.9394708Z with: 2025-12-04T09:05:02.9394856Z shell: bash 2025-12-04T09:05:02.9395013Z timeout_minutes: 10 2025-12-04T09:05:02.9395187Z max_attempts: 5 2025-12-04T09:05:02.9395356Z retry_wait_seconds: 30 2025-12-04T09:05:02.9396105Z 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 2025-12-04T09:05:02.9396694Z polling_interval_seconds: 1 2025-12-04T09:05:02.9396907Z warning_on_retry: true 2025-12-04T09:05:02.9397093Z continue_on_error: false 2025-12-04T09:05:02.9397268Z env: 2025-12-04T09:05:02.9397421Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:02.9397606Z HAS_NVIDIA_GPU: true 2025-12-04T09:05:02.9397820Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:05:02.9398224Z GITHUB_TOKEN: *** 2025-12-04T09:05:02.9398401Z ##[endgroup] 2025-12-04T09:05:03.0290524Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T09:05:03.2391968Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:05:03.3935941Z Collecting requests==2.27.1 2025-12-04T09:05:03.4070136Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-12-04T09:05:03.6045811Z Collecting pyyaml==6.0.2 2025-12-04T09:05:03.6081699Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-12-04T09:05:03.6557013Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-12-04T09:05:03.7208984Z Collecting certifi>=2017.4.17 2025-12-04T09:05:03.7236910Z Downloading certifi-2025.11.12-py3-none-any.whl (159 kB) 2025-12-04T09:05:04.1036124Z Collecting charset-normalizer~=2.0.0 2025-12-04T09:05:04.1066076Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-12-04T09:05:04.1342183Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-12-04T09:05:04.2065925Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-12-04T09:05:04.4833300Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-12-04T09:05:05.0081344Z Command completed after 1 attempt(s). 2025-12-04T09:05:05.0148355Z ##[group]Run set -x 2025-12-04T09:05:05.0148621Z set -x 2025-12-04T09:05:05.0148803Z  2025-12-04T09:05:05.0149107Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:05:05.0149703Z # in runner workspace 2025-12-04T09:05:05.0149987Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-12-04T09:05:05.0158354Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:05:05.0158633Z env: 2025-12-04T09:05:05.0158800Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:05.0158990Z HAS_NVIDIA_GPU: true 2025-12-04T09:05:05.0159227Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:05:05.0159482Z ##[endgroup] 2025-12-04T09:05:05.0187927Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-12-04T09:05:05.0352971Z Setting output branch=main 2025-12-04T09:05:05.0399435Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:05:05.0399755Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:05:05.0400000Z echo "Job name: ${JOB_NAME}" 2025-12-04T09:05:05.0400206Z  2025-12-04T09:05:05.0400485Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:05:05.0400823Z # in runner workspace 2025-12-04T09:05:05.0401125Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-12-04T09:05:05.0401468Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-12-04T09:05:05.0401750Z  --job-name "${JOB_NAME}" \ 2025-12-04T09:05:05.0408830Z  --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "libtorch_agnostic_targetting", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "libtorch_agnostic_targetting", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}]}" \ 2025-12-04T09:05:05.0416432Z  --selected-test-configs "" \ 2025-12-04T09:05:05.0416680Z  --pr-number "${PR_NUMBER}" \ 2025-12-04T09:05:05.0416896Z  --tag "${TAG}" \ 2025-12-04T09:05:05.0417105Z  --event-name "${EVENT_NAME}" \ 2025-12-04T09:05:05.0417344Z  --schedule "${SCHEDULE}" \ 2025-12-04T09:05:05.0417560Z  --branch "${HEAD_BRANCH}" 2025-12-04T09:05:05.0424667Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:05:05.0424945Z env: 2025-12-04T09:05:05.0425102Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:05.0425297Z HAS_NVIDIA_GPU: true 2025-12-04T09:05:05.0425527Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:05:05.0425976Z GITHUB_TOKEN: *** 2025-12-04T09:05:05.0426432Z JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 3, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests) 2025-12-04T09:05:05.0426912Z PR_NUMBER: 2025-12-04T09:05:05.0427069Z TAG: 2025-12-04T09:05:05.0427221Z EVENT_NAME: schedule 2025-12-04T09:05:05.0427396Z SCHEDULE: 29 8 * * * 2025-12-04T09:05:05.0427579Z HEAD_BRANCH: main 2025-12-04T09:05:05.0427749Z ##[endgroup] 2025-12-04T09:05:05.0452889Z Workflow: trunk 2025-12-04T09:05:05.0453698Z Job name: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 3, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests) 2025-12-04T09:05:05.2125237Z Setting output keep-going=True 2025-12-04T09:05:05.2125565Z Setting output ci-verbose-test-logs=False 2025-12-04T09:05:05.2125889Z Setting output ci-test-showlocals=False 2025-12-04T09:05:05.2126205Z Setting output ci-no-test-timeout=False 2025-12-04T09:05:05.2126477Z Setting output ci-no-td=False 2025-12-04T09:05:05.2126753Z Setting output ci-td-distributed=False 2025-12-04T09:05:05.2127040Z Setting output is-unstable=False 2025-12-04T09:05:05.2127298Z Setting output reenabled-issues= 2025-12-04T09:05:05.2144468Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "libtorch_agnostic_targetting", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "libtorch_agnostic_targetting", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "libtorch_agnostic_targetting", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "libtorch_agnostic_targetting", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}]} 2025-12-04T09:05:05.2160481Z Setting output is-test-matrix-empty=False 2025-12-04T09:05:05.2227687Z ##[group]Run echo "Filtered matrix:" 2025-12-04T09:05:05.2227979Z echo "Filtered matrix:" 2025-12-04T09:05:05.2243550Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 1, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "lf.linux.g6.4xlarge.experimental.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "lf.linux.g4dn.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "pr_time_benchmarks", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "libtorch_agnostic_targetting", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "mem_leak_check": "mem_leak_check"}, {"config": "libtorch_agnostic_targetting", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "mem_leak_check": "mem_leak_check", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "libtorch_agnostic_targetting", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "mem_leak_check": "mem_leak_check"}, {"config": "libtorch_agnostic_targetting", "shard": 1, "num_shards": 1, "runner": "linux.g4dn.metal.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}]}" 2025-12-04T09:05:05.2259477Z  2025-12-04T09:05:05.2259631Z echo 2025-12-04T09:05:05.2259929Z echo "Is the current job unstable? False" 2025-12-04T09:05:05.2260164Z  2025-12-04T09:05:05.2260310Z echo 2025-12-04T09:05:05.2260492Z echo "Is keep-going label set? True" 2025-12-04T09:05:05.2260709Z  2025-12-04T09:05:05.2260854Z echo 2025-12-04T09:05:05.2261024Z echo "Reenabled issues? " 2025-12-04T09:05:05.2268275Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:05:05.2268557Z env: 2025-12-04T09:05:05.2268726Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:05.2268918Z HAS_NVIDIA_GPU: true 2025-12-04T09:05:05.2269150Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:05:05.2269416Z ##[endgroup] 2025-12-04T09:05:05.2298040Z Filtered matrix: 2025-12-04T09:05:05.2320126Z {include: [{config: default, shard: 1, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu, mem_leak_check: mem_leak_check}, {config: default, shard: 1, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 1, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: default, shard: 1, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 2, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu, mem_leak_check: mem_leak_check}, {config: default, shard: 2, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 2, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: default, shard: 2, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 3, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu, mem_leak_check: mem_leak_check}, {config: default, shard: 3, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 3, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: default, shard: 3, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 4, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu, mem_leak_check: mem_leak_check}, {config: default, shard: 4, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 4, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: default, shard: 4, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 5, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu, mem_leak_check: mem_leak_check}, {config: default, shard: 5, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 5, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: default, shard: 5, num_shards: 5, runner: lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests}, {config: distributed, shard: 1, num_shards: 3, runner: lf.linux.g4dn.12xlarge.nvidia.gpu, mem_leak_check: mem_leak_check}, {config: distributed, shard: 1, num_shards: 3, runner: lf.linux.g4dn.12xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: distributed, shard: 1, num_shards: 3, runner: lf.linux.g4dn.12xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: distributed, shard: 1, num_shards: 3, runner: lf.linux.g4dn.12xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests}, {config: distributed, shard: 2, num_shards: 3, runner: lf.linux.g4dn.12xlarge.nvidia.gpu, mem_leak_check: mem_leak_check}, {config: distributed, shard: 2, num_shards: 3, runner: lf.linux.g4dn.12xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: distributed, shard: 2, num_shards: 3, runner: lf.linux.g4dn.12xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: distributed, shard: 2, num_shards: 3, runner: lf.linux.g4dn.12xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests}, {config: distributed, shard: 3, num_shards: 3, runner: lf.linux.g4dn.12xlarge.nvidia.gpu, mem_leak_check: mem_leak_check}, {config: distributed, shard: 3, num_shards: 3, runner: lf.linux.g4dn.12xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: distributed, shard: 3, num_shards: 3, runner: lf.linux.g4dn.12xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: distributed, shard: 3, num_shards: 3, runner: lf.linux.g4dn.12xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests}, {config: pr_time_benchmarks, shard: 1, num_shards: 1, runner: linux.g4dn.metal.nvidia.gpu, mem_leak_check: mem_leak_check}, {config: pr_time_benchmarks, shard: 1, num_shards: 1, runner: linux.g4dn.metal.nvidia.gpu, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: pr_time_benchmarks, shard: 1, num_shards: 1, runner: linux.g4dn.metal.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: pr_time_benchmarks, shard: 1, num_shards: 1, runner: linux.g4dn.metal.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests}, {config: libtorch_agnostic_targetting, shard: 1, num_shards: 1, runner: linux.g4dn.metal.nvidia.gpu, mem_leak_check: mem_leak_check}, {config: libtorch_agnostic_targetting, shard: 1, num_shards: 1, runner: linux.g4dn.metal.nvidia.gpu, mem_leak_check: mem_leak_check, rerun_disabled_tests: rerun_disabled_tests}, {config: libtorch_agnostic_targetting, shard: 1, num_shards: 1, runner: linux.g4dn.metal.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, mem_leak_check: mem_leak_check}, {config: libtorch_agnostic_targetting, shard: 1, num_shards: 1, runner: linux.g4dn.metal.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests}]} 2025-12-04T09:05:05.2335335Z 2025-12-04T09:05:05.2335428Z Is the current job unstable? False 2025-12-04T09:05:05.2335577Z 2025-12-04T09:05:05.2335655Z Is keep-going label set? True 2025-12-04T09:05:05.2335790Z 2025-12-04T09:05:05.2335868Z Reenabled issues? 2025-12-04T09:05:05.2361624Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:05:05.2362034Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:05:05.2368778Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:05:05.2369044Z env: 2025-12-04T09:05:05.2369217Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:05.2369410Z HAS_NVIDIA_GPU: true 2025-12-04T09:05:05.2369640Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:05:05.2369885Z JOB_TIMEOUT: 360 2025-12-04T09:05:05.2370048Z ##[endgroup] 2025-12-04T09:05:05.2419004Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:05:05.2419421Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:05:05.2419765Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:05:05.2426852Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:05:05.2427276Z env: 2025-12-04T09:05:05.2427444Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:05.2427637Z HAS_NVIDIA_GPU: true 2025-12-04T09:05:05.2427877Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:05:05.2428133Z ##[endgroup] 2025-12-04T09:05:05.2524372Z ##[group]Run set -x 2025-12-04T09:05:05.2524641Z set -x 2025-12-04T09:05:05.2524811Z  2025-12-04T09:05:05.2525002Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-12-04T09:05:05.2525280Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-12-04T09:05:05.2525564Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-12-04T09:05:05.2525843Z  TEST_COMMAND=.ci/onnx/test.sh 2025-12-04T09:05:05.2526059Z else 2025-12-04T09:05:05.2526242Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:05:05.2526462Z fi 2025-12-04T09:05:05.2526606Z  2025-12-04T09:05:05.2526785Z # Leaving 1GB for the runner and other things 2025-12-04T09:05:05.2527203Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-12-04T09:05:05.2527815Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-12-04T09:05:05.2528306Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-12-04T09:05:05.2528678Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-12-04T09:05:05.2528969Z  2025-12-04T09:05:05.2529150Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:05:05.2529392Z  SHM_OPTS= 2025-12-04T09:05:05.2529572Z  JENKINS_USER= 2025-12-04T09:05:05.2529818Z  # ensure that docker container cleanly exits in 12 hours 2025-12-04T09:05:05.2530147Z  # if for some reason cleanup action doesn't stop container 2025-12-04T09:05:05.2530422Z  # when job is cancelled 2025-12-04T09:05:05.2530641Z  DOCKER_SHELL_CMD="sleep 12h" 2025-12-04T09:05:05.2530875Z  USED_IMAGE="${DOCKER_IMAGE_S390X}" 2025-12-04T09:05:05.2531092Z else 2025-12-04T09:05:05.2531270Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-12-04T09:05:05.2531503Z  JENKINS_USER="--user jenkins" 2025-12-04T09:05:05.2531724Z  DOCKER_SHELL_CMD= 2025-12-04T09:05:05.2531925Z  USED_IMAGE="${DOCKER_IMAGE}" 2025-12-04T09:05:05.2532127Z fi 2025-12-04T09:05:05.2532267Z  2025-12-04T09:05:05.2532499Z # detached container should get cleaned up by teardown_ec2_linux 2025-12-04T09:05:05.2532872Z # TODO: Stop building test binaries as part of the build phase 2025-12-04T09:05:05.2533292Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-12-04T09:05:05.2533664Z # shellcheck disable=SC2086,SC2090 2025-12-04T09:05:05.2533896Z container_name=$(docker run \ 2025-12-04T09:05:05.2534120Z  ${GPU_FLAG:-} \ 2025-12-04T09:05:05.2534333Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-12-04T09:05:05.2534581Z  -e BUILD_ENVIRONMENT \ 2025-12-04T09:05:05.2534802Z  -e PR_NUMBER \ 2025-12-04T09:05:05.2534996Z  -e GITHUB_ACTIONS \ 2025-12-04T09:05:05.2535204Z  -e GITHUB_REPOSITORY \ 2025-12-04T09:05:05.2535413Z  -e GITHUB_WORKFLOW \ 2025-12-04T09:05:05.2535612Z  -e GITHUB_JOB \ 2025-12-04T09:05:05.2535807Z  -e GITHUB_RUN_ID \ 2025-12-04T09:05:05.2536003Z  -e GITHUB_RUN_NUMBER \ 2025-12-04T09:05:05.2536207Z  -e GITHUB_RUN_ATTEMPT \ 2025-12-04T09:05:05.2536405Z  -e JOB_ID \ 2025-12-04T09:05:05.2536587Z  -e JOB_NAME \ 2025-12-04T09:05:05.2536769Z  -e BASE_SHA \ 2025-12-04T09:05:05.2536940Z  -e BRANCH \ 2025-12-04T09:05:05.2537108Z  -e SHA1 \ 2025-12-04T09:05:05.2537287Z  -e AWS_DEFAULT_REGION \ 2025-12-04T09:05:05.2537640Z  -e IN_WHEEL_TEST \ 2025-12-04T09:05:05.2537835Z  -e SHARD_NUMBER \ 2025-12-04T09:05:05.2538025Z  -e TEST_CONFIG \ 2025-12-04T09:05:05.2538287Z  -e NUM_TEST_SHARDS \ 2025-12-04T09:05:05.2538610Z  -e REENABLED_ISSUES \ 2025-12-04T09:05:05.2538835Z  -e CONTINUE_THROUGH_ERROR \ 2025-12-04T09:05:05.2539057Z  -e VERBOSE_TEST_LOGS \ 2025-12-04T09:05:05.2539259Z  -e TEST_SHOWLOCALS \ 2025-12-04T09:05:05.2539452Z  -e NO_TEST_TIMEOUT \ 2025-12-04T09:05:05.2539637Z  -e NO_TD \ 2025-12-04T09:05:05.2539812Z  -e TD_DISTRIBUTED \ 2025-12-04T09:05:05.2540004Z  -e PR_LABELS \ 2025-12-04T09:05:05.2540213Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-12-04T09:05:05.2540443Z  -e SCCACHE_BUCKET \ 2025-12-04T09:05:05.2540635Z  -e SCCACHE_REGION \ 2025-12-04T09:05:05.2540828Z  -e XLA_CUDA \ 2025-12-04T09:05:05.2541031Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-12-04T09:05:05.2541287Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-12-04T09:05:05.2541548Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-12-04T09:05:05.2541815Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-12-04T09:05:05.2542050Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-12-04T09:05:05.2542285Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-12-04T09:05:05.2542537Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-12-04T09:05:05.2542763Z  -e DASHBOARD_TAG \ 2025-12-04T09:05:05.2542968Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-12-04T09:05:05.2543233Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-12-04T09:05:05.2543536Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-12-04T09:05:05.2543827Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-12-04T09:05:05.2544108Z  --security-opt seccomp=unconfined \ 2025-12-04T09:05:05.2544350Z  --cap-add=SYS_PTRACE \ 2025-12-04T09:05:05.2544559Z  --ipc=host \ 2025-12-04T09:05:05.2544741Z  ${SHM_OPTS} \ 2025-12-04T09:05:05.2544922Z  --tty \ 2025-12-04T09:05:05.2545088Z  --detach \ 2025-12-04T09:05:05.2545285Z  --name="${container_name}" \ 2025-12-04T09:05:05.2545507Z  ${JENKINS_USER} \ 2025-12-04T09:05:05.2545758Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-12-04T09:05:05.2546039Z  -w /var/lib/jenkins/workspace \ 2025-12-04T09:05:05.2546265Z  "${USED_IMAGE}" \ 2025-12-04T09:05:05.2546467Z  ${DOCKER_SHELL_CMD} 2025-12-04T09:05:05.2546651Z ) 2025-12-04T09:05:05.2546911Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-12-04T09:05:05.2547206Z  2025-12-04T09:05:05.2547392Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:05:05.2547810Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-12-04T09:05:05.2548177Z fi 2025-12-04T09:05:05.2548325Z  2025-12-04T09:05:05.2548664Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-12-04T09:05:05.2555490Z shell: /usr/bin/bash -e {0} 2025-12-04T09:05:05.2555691Z env: 2025-12-04T09:05:05.2555844Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:05:05.2556034Z HAS_NVIDIA_GPU: true 2025-12-04T09:05:05.2556259Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:05:05.2556573Z BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc11 2025-12-04T09:05:05.2556817Z PR_NUMBER: 2025-12-04T09:05:05.2556992Z GITHUB_REPOSITORY: pytorch/pytorch 2025-12-04T09:05:05.2557210Z GITHUB_WORKFLOW: trunk 2025-12-04T09:05:05.2557381Z GITHUB_JOB: test 2025-12-04T09:05:05.2557547Z GITHUB_RUN_ID: 19922768520 2025-12-04T09:05:05.2557735Z GITHUB_RUN_NUMBER: 158165 2025-12-04T09:05:05.2558011Z GITHUB_RUN_ATTEMPT: 1 2025-12-04T09:05:05.2558183Z JOB_ID: 57116084932 2025-12-04T09:05:05.2558622Z JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 3, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests) 2025-12-04T09:05:05.2559182Z BRANCH: main 2025-12-04T09:05:05.2559373Z SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:05.2559650Z BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:05.2559891Z TEST_CONFIG: default 2025-12-04T09:05:05.2560055Z SHARD_NUMBER: 3 2025-12-04T09:05:05.2560215Z NUM_TEST_SHARDS: 5 2025-12-04T09:05:05.2560376Z EXTRA_FLAGS: 2025-12-04T09:05:05.2560530Z OP_BENCHMARK_TESTS: 2025-12-04T09:05:05.2560705Z REENABLED_ISSUES: 2025-12-04T09:05:05.2560879Z CONTINUE_THROUGH_ERROR: True 2025-12-04T09:05:05.2561082Z VERBOSE_TEST_LOGS: False 2025-12-04T09:05:05.2561275Z TEST_SHOWLOCALS: False 2025-12-04T09:05:05.2561458Z NO_TEST_TIMEOUT: False 2025-12-04T09:05:05.2561621Z NO_TD: False 2025-12-04T09:05:05.2561791Z TD_DISTRIBUTED: False 2025-12-04T09:05:05.2562013Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-12-04T09:05:05.2562272Z SCCACHE_REGION: us-east-1 2025-12-04T09:05:05.2562449Z SHM_SIZE: 2g 2025-12-04T09:05:05.2563016Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:05:05.2564027Z DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:05:05.2564632Z XLA_CUDA: 2025-12-04T09:05:05.2564881Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:05:05.2565204Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-12-04T09:05:05.2565431Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 1 2025-12-04T09:05:05.2565636Z DASHBOARD_TAG: 2025-12-04T09:05:05.2565977Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-12-04T09:05:05.2566279Z HUGGING_FACE_HUB_TOKEN: *** 2025-12-04T09:05:05.2566574Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-12-04T09:05:05.2566968Z ARTIFACTS_FILE_SUFFIX: test-default-3-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_57116084932 2025-12-04T09:05:05.2567358Z ##[endgroup] 2025-12-04T09:05:05.2590568Z + [[ default == \m\u\l\t\i\g\p\u ]] 2025-12-04T09:05:05.2590848Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *onnx* ]] 2025-12-04T09:05:05.2591113Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:05:05.2593926Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-12-04T09:05:05.2617418Z + TOTAL_AVAILABLE_MEMORY_IN_GB='59.453 ' 2025-12-04T09:05:05.2617713Z + TOTAL_MEMORY_WITH_SWAP=62 2025-12-04T09:05:05.2618015Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *\s\3\9\0\x* ]] 2025-12-04T09:05:05.2618439Z + SHM_OPTS=--shm-size=2g 2025-12-04T09:05:05.2618681Z + JENKINS_USER='--user jenkins' 2025-12-04T09:05:05.2618920Z + DOCKER_SHELL_CMD= 2025-12-04T09:05:05.2619639Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:05:05.2626753Z +++ nproc --ignore=2 2025-12-04T09:05:05.2662822Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -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=59g --memory-swap=62g --env-file=/tmp/github_env_19922768520 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=2g --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 2025-12-04T09:05:13.3083759Z + container_name=af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e 2025-12-04T09:05:13.3084339Z + echo DOCKER_CONTAINER_ID=af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e 2025-12-04T09:05:13.3085779Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *\s\3\9\0\x* ]] 2025-12-04T09:05:13.3091419Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl 2025-12-04T09:05:13.3094289Z + docker exec -t af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-12-04T09:05:13.7796554Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f) 2025-12-04T09:05:14.1321775Z 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) 2025-12-04T09:05:14.1325230Z 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) 2025-12-04T09:05:14.1329316Z 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) 2025-12-04T09:05:14.1333604Z 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) 2025-12-04T09:05:14.1337018Z 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) 2025-12-04T09:05:14.1341540Z 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) 2025-12-04T09:05:14.1354092Z 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) 2025-12-04T09:05:14.1683192Z 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) 2025-12-04T09:05:14.1700554Z 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) 2025-12-04T09:05:14.1751886Z 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) 2025-12-04T09:05:14.5253525Z Installing collected packages: torch 2025-12-04T09:05:25.4557308Z Successfully installed torch-2.10.0a0+gitffd9b0f 2025-12-04T09:05:25.5068543Z + export TERM=vt100 2025-12-04T09:05:25.5068808Z + TERM=vt100 2025-12-04T09:05:25.5071426Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:05:25.5081206Z + source .ci/pytorch/common.sh 2025-12-04T09:05:25.5084268Z +++ dirname .ci/pytorch/common.sh 2025-12-04T09:05:25.5091783Z ++ source .ci/pytorch/common_utils.sh 2025-12-04T09:05:25.5093725Z +++ declare -f -t trap_add 2025-12-04T09:05:25.5098218Z ++ set -ex -o pipefail 2025-12-04T09:05:25.5098562Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11 == *rocm* ]] 2025-12-04T09:05:25.5098898Z ++ BUILD_TEST_LIBTORCH=0 2025-12-04T09:05:25.5102061Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:05:25.5110192Z + source .ci/pytorch/common-build.sh 2025-12-04T09:05:25.5112663Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11 != *win-* ]] 2025-12-04T09:05:25.5118257Z ++++ dirname .ci/pytorch/common-build.sh 2025-12-04T09:05:25.5127619Z +++ cd .ci/pytorch 2025-12-04T09:05:25.5127855Z +++ pwd -P 2025-12-04T09:05:25.5130412Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-12-04T09:05:25.5130783Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11 == *-pch* ]] 2025-12-04T09:05:25.5131053Z ++ which sccache 2025-12-04T09:05:25.5143710Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-12-04T09:05:25.5144004Z ++ sccache --stop-server 2025-12-04T09:05:25.5171574Z ++ true 2025-12-04T09:05:25.5171828Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-12-04T09:05:25.5183260Z ++ trap_add sccache_epilogue EXIT 2025-12-04T09:05:25.5183494Z ++ trap_add_cmd=sccache_epilogue 2025-12-04T09:05:25.5183699Z ++ shift 2025-12-04T09:05:25.5183887Z ++ for trap_add_name in "$@" 2025-12-04T09:05:25.5189443Z ++++ trap -p EXIT 2025-12-04T09:05:25.5192442Z +++ eval 'extract_trap_cmd ' 2025-12-04T09:05:25.5192711Z ++++ extract_trap_cmd 2025-12-04T09:05:25.5192922Z ++++ printf '%s\n' '' 2025-12-04T09:05:25.5193567Z +++ printf '%s\n' sccache_epilogue 2025-12-04T09:05:25.5196119Z ++ trap -- ' 2025-12-04T09:05:25.5196384Z sccache_epilogue' EXIT 2025-12-04T09:05:25.5196664Z ++ [[ -n 1 ]] 2025-12-04T09:05:25.5196972Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-12-04T09:05:25.5197412Z Skipping sccache server initialization, setting environment variables 2025-12-04T09:05:25.5197734Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:05:25.5197945Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:05:25.5198201Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:05:25.5198507Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:05:25.5206259Z ++ export RUST_LOG=sccache::server=error 2025-12-04T09:05:25.5206535Z ++ RUST_LOG=sccache::server=error 2025-12-04T09:05:25.5206766Z ++ sccache --zero-stats 2025-12-04T09:05:25.6309842Z Statistics zeroed. 2025-12-04T09:05:25.6317107Z ++ which ccache 2025-12-04T09:05:25.6329975Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]] 2025-12-04T09:05:25.6330383Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *s390x* ]] 2025-12-04T09:05:25.6330724Z + [[ -d /var/lib/jenkins/workspace ]] 2025-12-04T09:05:25.6333183Z ++ stat -c %u /var/lib/jenkins/workspace 2025-12-04T09:05:25.6350195Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-12-04T09:05:25.6350559Z + trap_add cleanup_workspace EXIT 2025-12-04T09:05:25.6350884Z + trap_add_cmd=cleanup_workspace 2025-12-04T09:05:25.6351150Z + shift 2025-12-04T09:05:25.6351340Z + for trap_add_name in "$@" 2025-12-04T09:05:25.6363082Z +++ trap -p EXIT 2025-12-04T09:05:25.6363295Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-12-04T09:05:25.6363523Z sccache_epilogue'\'' EXIT' 2025-12-04T09:05:25.6363729Z +++ extract_trap_cmd trap -- ' 2025-12-04T09:05:25.6363937Z sccache_epilogue' EXIT 2025-12-04T09:05:25.6364135Z +++ printf '%s\n' ' 2025-12-04T09:05:25.6364301Z sccache_epilogue' 2025-12-04T09:05:25.6364481Z ++ printf '%s\n' cleanup_workspace 2025-12-04T09:05:25.6364688Z + trap -- ' 2025-12-04T09:05:25.6364844Z sccache_epilogue 2025-12-04T09:05:25.6365027Z cleanup_workspace' EXIT 2025-12-04T09:05:25.6365253Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-12-04T09:05:26.5622462Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-12-04T09:05:26.5642043Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:05:26.5645288Z ++ python -c 'import os;import numba.cuda; print(os.path.dirname(numba.cuda.__file__))' 2025-12-04T09:05:26.9270142Z + NUMBA_CUDA_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:05:26.9270752Z + '[' -n /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ']' 2025-12-04T09:05:26.9276336Z +++ realpath .ci/pytorch/test.sh 2025-12-04T09:05:26.9287208Z ++ dirname /var/lib/jenkins/workspace/.ci/pytorch/test.sh 2025-12-04T09:05:26.9295507Z + NUMBA_PATCH=/var/lib/jenkins/workspace/.ci/pytorch/numba-cuda-13.patch 2025-12-04T09:05:26.9296049Z + pushd /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:05:26.9296829Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ~/workspace 2025-12-04T09:05:26.9297259Z + patch -p4 2025-12-04T09:05:26.9309952Z patching file cudadrv/driver.py 2025-12-04T09:05:26.9310267Z Hunk #1 succeeded at 357 (offset -8 lines). 2025-12-04T09:05:26.9395585Z + popd 2025-12-04T09:05:26.9396025Z ~/workspace 2025-12-04T09:05:26.9396364Z + echo 'Environment variables:' 2025-12-04T09:05:26.9396635Z Environment variables: 2025-12-04T09:05:26.9396857Z + env 2025-12-04T09:05:26.9406633Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:05:26.9407157Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:05:26.9407718Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc11 2025-12-04T09:05:26.9408446Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:05:26.9408914Z HOSTNAME=af4121d91af0 2025-12-04T09:05:26.9409598Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_169bdee0-fe07-4c62-ada7-68d0903dbe36 2025-12-04T09:05:26.9410217Z GITHUB_ACTION=__run_3 2025-12-04T09:05:26.9410470Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:05:26.9410771Z GITHUB_RUN_NUMBER=158165 2025-12-04T09:05:26.9411003Z TEST_CONFIG=default 2025-12-04T09:05:26.9411230Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:05:26.9411521Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:05:26.9411813Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:05:26.9412581Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:05:26.9412873Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T09:05:26.9413136Z GITHUB_REF_TYPE=branch 2025-12-04T09:05:26.9413455Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:26.9413767Z XLA_CUDA= 2025-12-04T09:05:26.9413969Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:05:26.9414503Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:05:26.9415098Z *** 2025-12-04T09:05:26.9415320Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:05:26.9415572Z GITHUB_ACTIONS=true 2025-12-04T09:05:26.9415808Z NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:05:26.9416100Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:05:26.9416389Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:26.9416672Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:26.9417040Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/trunk.yml@refs/heads/main 2025-12-04T09:05:26.9417382Z UCC_HOME=/usr 2025-12-04T09:05:26.9417543Z VERBOSE_TEST_LOGS=False 2025-12-04T09:05:26.9417726Z GITHUB_REF=refs/heads/main 2025-12-04T09:05:26.9417910Z SHARD_NUMBER=3 2025-12-04T09:05:26.9418070Z GITHUB_REF_PROTECTED=true 2025-12-04T09:05:26.9418392Z HOME=/var/lib/jenkins 2025-12-04T09:05:26.9418595Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:05:26.9418837Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T09:05:26.9419077Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-12-04T09:05:26.9419323Z USE_SYSTEM_NCCL=1 2025-12-04T09:05:26.9419484Z NUM_TEST_SHARDS=5 2025-12-04T09:05:26.9419651Z UCX_HOME=/usr 2025-12-04T09:05:26.9420067Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_169bdee0-fe07-4c62-ada7-68d0903dbe36 2025-12-04T09:05:26.9420781Z JOB_NAME=linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 3, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests) 2025-12-04T09:05:26.9421467Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_169bdee0-fe07-4c62-ada7-68d0903dbe36 2025-12-04T09:05:26.9422031Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:05:26.9422382Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:05:26.9422565Z DASHBOARD_TAG= 2025-12-04T09:05:26.9422721Z GITHUB_RUN_ID=19922768520 2025-12-04T09:05:26.9422899Z INSTALLED_OPENBLAS= 2025-12-04T09:05:26.9423333Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_169bdee0-fe07-4c62-ada7-68d0903dbe36 2025-12-04T09:05:26.9424731Z GITHUB_ACTOR=huydhn 2025-12-04T09:05:26.9424906Z PR_NUMBER= 2025-12-04T09:05:26.9425061Z DESIRED_CUDA=12.8.1 2025-12-04T09:05:26.9425220Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:05:26.9425525Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T09:05:26.9425794Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:05:26.9426040Z TERM=vt100 2025-12-04T09:05:26.9426184Z INSTALLED_VISION=yes 2025-12-04T09:05:26.9426351Z BRANCH=main 2025-12-04T09:05:26.9426508Z SCCACHE_REGION=us-east-1 2025-12-04T09:05:26.9426705Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:05:26.9426907Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:05:26.9427089Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:05:26.9427460Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:05:26.9427881Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:05:26.9428138Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-12-04T09:05:26.9428382Z REENABLED_ISSUES= 2025-12-04T09:05:26.9428543Z DOCS= 2025-12-04T09:05:26.9428687Z SHLVL=1 2025-12-04T09:05:26.9428830Z MAX_JOBS=14 2025-12-04T09:05:26.9428990Z GITHUB_ACTOR_ID=475357 2025-12-04T09:05:26.9429239Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:26.9429510Z GITHUB_REF_NAME=main 2025-12-04T09:05:26.9429784Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:05:26.9430089Z GITHUB_JOB=test 2025-12-04T09:05:26.9430251Z NO_TEST_TIMEOUT=False 2025-12-04T09:05:26.9430419Z TD_DISTRIBUTED=False 2025-12-04T09:05:26.9430604Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:05:26.9430818Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:05:26.9431006Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:05:26.9431201Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:05:26.9431746Z 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 2025-12-04T09:05:26.9432317Z GITHUB_BASE_REF= 2025-12-04T09:05:26.9432484Z INSTALLED_ACL= 2025-12-04T09:05:26.9432847Z ARTIFACTS_FILE_SUFFIX=test-default-3-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_57116084932 2025-12-04T09:05:26.9433239Z CI=true 2025-12-04T09:05:26.9433401Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:05:26.9433641Z RUST_LOG=sccache::server=error 2025-12-04T09:05:26.9433852Z JOB_ID=57116084932 2025-12-04T09:05:26.9434010Z GITHUB_HEAD_REF= 2025-12-04T09:05:26.9434176Z GITHUB_ACTION_REF= 2025-12-04T09:05:26.9434382Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:05:26.9434626Z TEST_SHOWLOCALS=False 2025-12-04T09:05:26.9434813Z GITHUB_WORKFLOW=trunk 2025-12-04T09:05:26.9434992Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:05:26.9435426Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_169bdee0-fe07-4c62-ada7-68d0903dbe36 2025-12-04T09:05:26.9435878Z NO_TD=False 2025-12-04T09:05:26.9436043Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:05:26.9436256Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:05:26.9436476Z _=/usr/bin/env 2025-12-04T09:05:26.9436730Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:05:26.9437110Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-12-04T09:05:26.9532566Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-12-04T09:05:26.9533365Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:05:26.9534006Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-12-04T09:05:26.9534636Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-12-04T09:05:26.9535018Z + BUILD_DIR=build 2025-12-04T09:05:26.9535240Z + BUILD_RENAMED_DIR=build_renamed 2025-12-04T09:05:26.9535519Z + BUILD_BIN_DIR=build/bin 2025-12-04T09:05:26.9535753Z + SHARD_NUMBER=3 2025-12-04T09:05:26.9535952Z + NUM_TEST_SHARDS=5 2025-12-04T09:05:26.9536143Z + export TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:05:26.9536548Z + TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:05:26.9536752Z + export VALGRIND=ON 2025-12-04T09:05:26.9536931Z + VALGRIND=ON 2025-12-04T09:05:26.9537226Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *clang9* ]] 2025-12-04T09:05:26.9537749Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *xpu* ]] 2025-12-04T09:05:26.9538014Z + detect_cuda_arch 2025-12-04T09:05:26.9538335Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:05:26.9538596Z + command -v nvidia-smi 2025-12-04T09:05:26.9538784Z /usr/bin/nvidia-smi 2025-12-04T09:05:26.9543644Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-12-04T09:05:26.9544549Z ++ tail -n 1 2025-12-04T09:05:26.9748538Z + TORCH_CUDA_ARCH_LIST=8.9 2025-12-04T09:05:26.9749004Z + export TORCH_CUDA_ARCH_LIST 2025-12-04T09:05:26.9749526Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *s390x* ]] 2025-12-04T09:05:26.9750069Z + [[ 1 == \1 ]] 2025-12-04T09:05:26.9750411Z + ulimit -c 0 2025-12-04T09:05:26.9750901Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *bazel* ]] 2025-12-04T09:05:26.9754742Z ++ realpath build/custom_test_artifacts 2025-12-04T09:05:26.9764080Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-12-04T09:05:26.9764799Z + [[ -n '' ]] 2025-12-04T09:05:26.9765052Z + echo 'Environment variables' 2025-12-04T09:05:26.9765324Z Environment variables 2025-12-04T09:05:26.9765551Z + env 2025-12-04T09:05:26.9772225Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:05:26.9772546Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:05:26.9772802Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc11 2025-12-04T09:05:26.9773226Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:05:26.9773445Z HOSTNAME=af4121d91af0 2025-12-04T09:05:26.9773866Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_169bdee0-fe07-4c62-ada7-68d0903dbe36 2025-12-04T09:05:26.9774314Z GITHUB_ACTION=__run_3 2025-12-04T09:05:26.9774505Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:05:26.9774780Z GITHUB_RUN_NUMBER=158165 2025-12-04T09:05:26.9775047Z TEST_CONFIG=default 2025-12-04T09:05:26.9775349Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:05:26.9775753Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:05:26.9776074Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:05:26.9776506Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:05:26.9776723Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T09:05:26.9777018Z GITHUB_REF_TYPE=branch 2025-12-04T09:05:26.9777350Z TORCH_CUDA_ARCH_LIST=8.9 2025-12-04T09:05:26.9777760Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:26.9778294Z XLA_CUDA= 2025-12-04T09:05:26.9778577Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:05:26.9779439Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:05:26.9779894Z *** 2025-12-04T09:05:26.9780163Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:05:26.9780521Z GITHUB_ACTIONS=true 2025-12-04T09:05:26.9780851Z NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:05:26.9781285Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:05:26.9781828Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:26.9782342Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:26.9783063Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/trunk.yml@refs/heads/main 2025-12-04T09:05:26.9783666Z UCC_HOME=/usr 2025-12-04T09:05:26.9783972Z TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:05:26.9784316Z VERBOSE_TEST_LOGS=False 2025-12-04T09:05:26.9784636Z GITHUB_REF=refs/heads/main 2025-12-04T09:05:26.9784956Z SHARD_NUMBER=3 2025-12-04T09:05:26.9785253Z GITHUB_REF_PROTECTED=true 2025-12-04T09:05:26.9785582Z HOME=/var/lib/jenkins 2025-12-04T09:05:26.9785927Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:05:26.9786348Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T09:05:26.9786786Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-12-04T09:05:26.9787209Z USE_SYSTEM_NCCL=1 2025-12-04T09:05:26.9787501Z NUM_TEST_SHARDS=5 2025-12-04T09:05:26.9787781Z UCX_HOME=/usr 2025-12-04T09:05:26.9788488Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_169bdee0-fe07-4c62-ada7-68d0903dbe36 2025-12-04T09:05:26.9790237Z JOB_NAME=linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 3, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests) 2025-12-04T09:05:26.9791036Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_169bdee0-fe07-4c62-ada7-68d0903dbe36 2025-12-04T09:05:26.9791621Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:05:26.9791978Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:05:26.9792169Z DASHBOARD_TAG= 2025-12-04T09:05:26.9792341Z GITHUB_RUN_ID=19922768520 2025-12-04T09:05:26.9792520Z INSTALLED_OPENBLAS= 2025-12-04T09:05:26.9792967Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_169bdee0-fe07-4c62-ada7-68d0903dbe36 2025-12-04T09:05:26.9793429Z GITHUB_ACTOR=huydhn 2025-12-04T09:05:26.9793594Z PR_NUMBER= 2025-12-04T09:05:26.9793889Z DESIRED_CUDA=12.8.1 2025-12-04T09:05:26.9794063Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:05:26.9794245Z VALGRIND=ON 2025-12-04T09:05:26.9794412Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T09:05:26.9794667Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:05:26.9794917Z TERM=vt100 2025-12-04T09:05:26.9795073Z INSTALLED_VISION=yes 2025-12-04T09:05:26.9795240Z BRANCH=main 2025-12-04T09:05:26.9795396Z SCCACHE_REGION=us-east-1 2025-12-04T09:05:26.9795599Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:05:26.9795800Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:05:26.9795980Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:05:26.9796357Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:05:26.9796770Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:05:26.9797022Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-12-04T09:05:26.9797283Z REENABLED_ISSUES= 2025-12-04T09:05:26.9797443Z DOCS= 2025-12-04T09:05:26.9797575Z SHLVL=1 2025-12-04T09:05:26.9797723Z MAX_JOBS=14 2025-12-04T09:05:26.9797880Z GITHUB_ACTOR_ID=475357 2025-12-04T09:05:26.9798115Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:05:26.9798390Z GITHUB_REF_NAME=main 2025-12-04T09:05:26.9798670Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:05:26.9798975Z GITHUB_JOB=test 2025-12-04T09:05:26.9799138Z NO_TEST_TIMEOUT=False 2025-12-04T09:05:26.9799310Z TD_DISTRIBUTED=False 2025-12-04T09:05:26.9799496Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:05:26.9799701Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:05:26.9799890Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:05:26.9800077Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:05:26.9800614Z 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 2025-12-04T09:05:26.9801166Z GITHUB_BASE_REF= 2025-12-04T09:05:26.9801328Z INSTALLED_ACL= 2025-12-04T09:05:26.9801666Z ARTIFACTS_FILE_SUFFIX=test-default-3-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_57116084932 2025-12-04T09:05:26.9802055Z CI=true 2025-12-04T09:05:26.9802212Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:05:26.9802440Z RUST_LOG=sccache::server=error 2025-12-04T09:05:26.9802629Z JOB_ID=57116084932 2025-12-04T09:05:26.9802788Z GITHUB_HEAD_REF= 2025-12-04T09:05:26.9802948Z GITHUB_ACTION_REF= 2025-12-04T09:05:26.9803149Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:05:26.9803404Z TEST_SHOWLOCALS=False 2025-12-04T09:05:26.9803580Z GITHUB_WORKFLOW=trunk 2025-12-04T09:05:26.9803751Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:05:26.9804193Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_169bdee0-fe07-4c62-ada7-68d0903dbe36 2025-12-04T09:05:26.9804642Z NO_TD=False 2025-12-04T09:05:26.9804802Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:05:26.9805019Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:05:26.9805338Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:05:26.9805737Z _=/usr/bin/env 2025-12-04T09:05:26.9805899Z + echo 'Testing pytorch' 2025-12-04T09:05:26.9806081Z Testing pytorch 2025-12-04T09:05:26.9806248Z + export LANG=C.UTF-8 2025-12-04T09:05:26.9806421Z + LANG=C.UTF-8 2025-12-04T09:05:26.9806679Z + PR_NUMBER= 2025-12-04T09:05:26.9806846Z + [[ default == \d\e\f\a\u\l\t ]] 2025-12-04T09:05:26.9807047Z + export CUDA_VISIBLE_DEVICES=0 2025-12-04T09:05:26.9807247Z + CUDA_VISIBLE_DEVICES=0 2025-12-04T09:05:26.9807440Z + export HIP_VISIBLE_DEVICES=0 2025-12-04T09:05:26.9807630Z + HIP_VISIBLE_DEVICES=0 2025-12-04T09:05:26.9807817Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-12-04T09:05:26.9808036Z + [[ default == \s\l\o\w ]] 2025-12-04T09:05:26.9808283Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *slow-gradcheck* ]] 2025-12-04T09:05:26.9808592Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:05:26.9808857Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-12-04T09:05:26.9809110Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-12-04T09:05:26.9809333Z + [[ default == *crossref* ]] 2025-12-04T09:05:26.9809556Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *rocm* ]] 2025-12-04T09:05:26.9809826Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *xpu* ]] 2025-12-04T09:05:26.9810102Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *-bazel-* ]] 2025-12-04T09:05:26.9810351Z + pip_install ninja==1.10.2 2025-12-04T09:05:26.9810604Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T09:05:26.9810924Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-12-04T09:05:27.7778561Z Collecting ninja==1.10.2 2025-12-04T09:05:27.8003632Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-12-04T09:05:27.8354937Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-12-04T09:05:28.1859296Z Installing collected packages: ninja 2025-12-04T09:05:28.1860103Z Attempting uninstall: ninja 2025-12-04T09:05:28.1866491Z Found existing installation: ninja 1.11.1.4 2025-12-04T09:05:28.1888194Z Uninstalling ninja-1.11.1.4: 2025-12-04T09:05:28.2010831Z Successfully uninstalled ninja-1.11.1.4 2025-12-04T09:05:28.2598694Z Successfully installed ninja-1.10.2 2025-12-04T09:05:28.3040393Z + 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 2025-12-04T09:05:28.3041843Z + 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 2025-12-04T09:05:28.3042734Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *aarch64* ]] 2025-12-04T09:05:28.3043119Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *asan* ]] 2025-12-04T09:05:28.3043488Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *-debug* ]] 2025-12-04T09:05:28.3043866Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *-bazel-* ]] 2025-12-04T09:05:28.3044400Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc11. Expect the assertion to pass' 2025-12-04T09:05:28.3045034Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc11. Expect the assertion to pass 2025-12-04T09:05:28.3045467Z + cd test 2025-12-04T09:05:28.3045776Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-12-04T09:05:29.7362639Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-12-04T09:05:29.7363228Z + [[ default == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-12-04T09:05:29.7363785Z + [[ default == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-12-04T09:05:29.7368923Z + DYNAMO_BENCHMARK_FLAGS=() 2025-12-04T09:05:29.7369312Z + [[ default == *pr_time_benchmarks* ]] 2025-12-04T09:05:29.7369720Z + [[ default == *dynamo_eager* ]] 2025-12-04T09:05:29.7370087Z + [[ default == *aot_eager* ]] 2025-12-04T09:05:29.7370427Z + [[ default == *aot_inductor* ]] 2025-12-04T09:05:29.7370799Z + [[ default == *max_autotune_inductor* ]] 2025-12-04T09:05:29.7371553Z + [[ default == *inductor* ]] 2025-12-04T09:05:29.7371886Z + [[ default == *dynamic* ]] 2025-12-04T09:05:29.7372210Z + [[ default == *cpu* ]] 2025-12-04T09:05:29.7372517Z + [[ default == *xpu* ]] 2025-12-04T09:05:29.7372859Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-12-04T09:05:29.7392258Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *libtorch* ]] 2025-12-04T09:05:29.7392631Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *-bazel-* ]] 2025-12-04T09:05:29.7394946Z + cd test 2025-12-04T09:05:29.7395828Z + python -c 'import torch; print(torch.__config__.show())' 2025-12-04T09:05:31.1738641Z PyTorch built with: 2025-12-04T09:05:31.1738928Z - GCC 11.4 2025-12-04T09:05:31.1739149Z - C++ Version: 201703 2025-12-04T09:05:31.1739681Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:05:31.1740347Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:05:31.1740761Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T09:05:31.1741109Z - LAPACK is enabled (usually provided by MKL) 2025-12-04T09:05:31.1741403Z - NNPACK is enabled 2025-12-04T09:05:31.1741632Z - CPU capability usage: AVX2 2025-12-04T09:05:31.1741884Z - CUDA Runtime 12.8 2025-12-04T09:05:31.1742339Z - NVCC architecture flags: -gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_89,code=sm_89 2025-12-04T09:05:31.1742819Z - CuDNN 91.0.2 (built against CUDA 12.9) 2025-12-04T09:05:31.1747042Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=35b7a9a26c5923d98aebaa41a031dae21788a9ee, 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, 2025-12-04T09:05:31.1750647Z 2025-12-04T09:05:31.4352769Z + cd test 2025-12-04T09:05:31.4353169Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-12-04T09:05:32.6015628Z ATen/Parallel: 2025-12-04T09:05:32.6015957Z at::get_num_threads() : 8 2025-12-04T09:05:32.6016238Z at::get_num_interop_threads() : 8 2025-12-04T09:05:32.6016512Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T09:05:32.6016823Z omp_get_max_threads() : 8 2025-12-04T09:05:32.6017335Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:05:32.6017877Z mkl_get_max_threads() : 8 2025-12-04T09:05:32.6018356Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:05:32.6018758Z std::thread::hardware_concurrency() : 16 2025-12-04T09:05:32.6019003Z Environment variables: 2025-12-04T09:05:32.6019183Z OMP_NUM_THREADS : [not set] 2025-12-04T09:05:32.6019378Z MKL_NUM_THREADS : [not set] 2025-12-04T09:05:32.6019569Z ATen parallel backend: OpenMP 2025-12-04T09:05:32.6019698Z 2025-12-04T09:05:32.8302046Z + [[ default == *numpy_2* ]] 2025-12-04T09:05:32.8302525Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *aarch64* ]] 2025-12-04T09:05:32.8302971Z + [[ default == *backward* ]] 2025-12-04T09:05:32.8303360Z + [[ default == *libtorch_agnostic_targetting* ]] 2025-12-04T09:05:32.8304224Z + [[ default == *xla* ]] 2025-12-04T09:05:32.8304511Z + [[ default == *vllm* ]] 2025-12-04T09:05:32.8304716Z + [[ default == *executorch* ]] 2025-12-04T09:05:32.8304919Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]] 2025-12-04T09:05:32.8305338Z + [[ default == \q\u\a\n\t\i\z\a\t\i\o\n ]] 2025-12-04T09:05:32.8305616Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *libtorch* ]] 2025-12-04T09:05:32.8305891Z + [[ default == distributed ]] 2025-12-04T09:05:32.8306107Z + [[ default == *operator_benchmark* ]] 2025-12-04T09:05:32.8306358Z + [[ default == *operator_microbenchmark* ]] 2025-12-04T09:05:32.8306603Z + [[ default == *attention_microbenchmark* ]] 2025-12-04T09:05:32.8306841Z + [[ default == *inductor_distributed* ]] 2025-12-04T09:05:32.8307075Z + [[ default == *inductor-halide* ]] 2025-12-04T09:05:32.8307310Z + [[ default == *inductor-pallas* ]] 2025-12-04T09:05:32.8307531Z + [[ default == *inductor-triton-cpu* ]] 2025-12-04T09:05:32.8307773Z + [[ default == *inductor-micro-benchmark* ]] 2025-12-04T09:05:32.8308041Z + [[ default == *aoti_cross_compile_for_windows* ]] 2025-12-04T09:05:32.8308285Z + [[ default == *huggingface* ]] 2025-12-04T09:05:32.8308487Z + [[ default == *timm* ]] 2025-12-04T09:05:32.8308676Z + [[ default == cachebench ]] 2025-12-04T09:05:32.8308875Z + [[ default == verify_cachebench ]] 2025-12-04T09:05:32.8309102Z + [[ default == *torchbench* ]] 2025-12-04T09:05:32.8309316Z + [[ default == *inductor_cpp_wrapper* ]] 2025-12-04T09:05:32.8309544Z + [[ default == *inductor_core* ]] 2025-12-04T09:05:32.8309749Z + [[ default == *inductor* ]] 2025-12-04T09:05:32.8309940Z + [[ default == *einops* ]] 2025-12-04T09:05:32.8310128Z + [[ default == *dynamo_core* ]] 2025-12-04T09:05:32.8310326Z + [[ default == *dynamo_wrapped* ]] 2025-12-04T09:05:32.8310569Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *rocm* ]] 2025-12-04T09:05:32.8310807Z + [[ 3 == 1 ]] 2025-12-04T09:05:32.8310949Z + [[ 3 == 2 ]] 2025-12-04T09:05:32.8311110Z + [[ 3 -gt 2 ]] 2025-12-04T09:05:32.8311274Z + install_torchvision 2025-12-04T09:05:32.8311456Z + local orig_preload 2025-12-04T09:05:32.8311624Z + local commit 2025-12-04T09:05:32.8311788Z ++ get_pinned_commit vision 2025-12-04T09:05:32.8312264Z ++ cat .github/ci_commit_pins/vision.txt 2025-12-04T09:05:32.8323154Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:05:32.8323725Z + orig_preload= 2025-12-04T09:05:32.8324083Z + '[' -n '' ']' 2025-12-04T09:05:32.8324521Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:05:32.8325082Z + export FORCE_CUDA=1 2025-12-04T09:05:32.8325445Z + FORCE_CUDA=1 2025-12-04T09:05:32.8325769Z + export WITH_CUDA=1 2025-12-04T09:05:32.8326120Z + WITH_CUDA=1 2025-12-04T09:05:32.8327000Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision 2025-12-04T09:05:32.8328380Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:05:32.8328929Z + local wheel_dir=dist/vision 2025-12-04T09:05:32.8329151Z + local found_whl=0 2025-12-04T09:05:32.8329345Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:05:32.8329565Z + [[ -f dist/vision/*.whl ]] 2025-12-04T09:05:32.8329752Z + '[' 0 == 0 ']' 2025-12-04T09:05:32.8330250Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:05:33.1190958Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:05:33.1194955Z Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-46oyxn3w 2025-12-04T09:05:33.1218697Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-46oyxn3w 2025-12-04T09:05:34.5608871Z Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e' 2025-12-04T09:05:34.5633487Z Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:05:34.6673908Z Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:05:36.4640074Z Preparing metadata (pyproject.toml) ... [?25l- \ | done 2025-12-04T09:05:36.4675270Z [?25hBuilding wheels for collected packages: torchvision 2025-12-04T09:06:49.5228966Z Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done 2025-12-04T09:06:49.5257347Z [?25h Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl size=1786708 sha256=27700b006e30ff331491ea5e3f10a8e94d40e592b2c6a471677c7d8b3b54f210 2025-12-04T09:06:49.5258732Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/12/b2/29/1f82685c5b5173629e1f36a9b93989ce92ce563e5fb91d27ac 2025-12-04T09:06:49.5290845Z Successfully built torchvision 2025-12-04T09:06:49.6247144Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:06:49.6247712Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:06:49.6248343Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl') 2025-12-04T09:06:49.6248754Z + local args 2025-12-04T09:06:49.6249129Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-12-04T09:06:49.6249557Z + for path in "${args[@]}" 2025-12-04T09:06:49.6249989Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl' 2025-12-04T09:06:49.6250596Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:06:49.6251315Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:06:49.9150472Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:06:49.9231834Z Installing collected packages: torchvision 2025-12-04T09:06:50.3352853Z Successfully installed torchvision-0.25.0a0+617079d 2025-12-04T09:06:50.3632465Z + '[' -n '' ']' 2025-12-04T09:06:50.3632888Z + test_python_shard 3 2025-12-04T09:06:50.3633277Z + [[ -z 5 ]] 2025-12-04T09:06:50.3634294Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --exclude-quantization-tests --shard 3 5 --verbose --upload-artifacts-while-running 2025-12-04T09:06:54.6788311Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:06:54.7353672Z Ignoring disabled issues: [''] 2025-12-04T09:06:54.7432149Z Found test times from artifacts 2025-12-04T09:06:54.7756507Z Found test times from artifacts 2025-12-04T09:06:54.7766200Z Running all tests 2025-12-04T09:06:54.8263104Z Running parallel tests on 3 processes 2025-12-04T09:06:54.8271696Z Name: tests to run (est. time: 105.78min) 2025-12-04T09:06:54.8272008Z Serial tests (0): 2025-12-04T09:06:54.8272279Z Parallel tests (141): 2025-12-04T09:06:54.8272535Z inductor/test_aot_inductor 2/4 2025-12-04T09:06:54.8272828Z inductor/test_cuda_select_algorithm 1/1 2025-12-04T09:06:54.8273157Z inductor/test_compile_subprocess 1/2 2025-12-04T09:06:54.8273449Z inductor/test_compile_subprocess 2/2 2025-12-04T09:06:54.8273723Z export/test_retraceability 1/1 2025-12-04T09:06:54.8273975Z test_decomp 5/22 2025-12-04T09:06:54.8274184Z test_decomp 7/22 2025-12-04T09:06:54.8274387Z test_decomp 11/22 2025-12-04T09:06:54.8274595Z test_decomp 17/22 2025-12-04T09:06:54.8274806Z test_decomp 19/22 2025-12-04T09:06:54.8275040Z test_cuda_expandable_segments 1/1 2025-12-04T09:06:54.8275366Z test_public_bindings 1/1 2025-12-04T09:06:54.8275595Z test_ops 1/9 2025-12-04T09:06:54.8275778Z test_ops 7/9 2025-12-04T09:06:54.8275933Z test_ops 9/9 2025-12-04T09:06:54.8276119Z inductor/test_torchinductor_dynamic_shapes 4/4 2025-12-04T09:06:54.8276739Z inductor/test_torchinductor_codegen_dynamic_shapes 4/4 2025-12-04T09:06:54.8277026Z inductor/test_torchinductor_opinfo 2/13 2025-12-04T09:06:54.8277272Z inductor/test_torchinductor_opinfo 9/13 2025-12-04T09:06:54.8277692Z inductor/test_torchinductor_opinfo 12/13 2025-12-04T09:06:54.8277940Z inductor/test_pattern_matcher 1/1 2025-12-04T09:06:54.8278168Z inductor/test_group_batch_fusion 1/1 2025-12-04T09:06:54.8278387Z inductor/test_cpu_repro 1/3 2025-12-04T09:06:54.8278594Z inductor/test_smoke 1/1 2025-12-04T09:06:54.8278806Z inductor/test_mkldnn_pattern_matcher 2/2 2025-12-04T09:06:54.8279023Z dynamo/test_logging 1/1 2025-12-04T09:06:54.8279224Z inductor/test_inductor_freezing 1/1 2025-12-04T09:06:54.8279446Z dynamo/test_unspec 1/1 2025-12-04T09:06:54.8279640Z dynamo/test_higher_order_ops 1/1 2025-12-04T09:06:54.8279873Z inductor/test_mmdecomp 1/1 2025-12-04T09:06:54.8280078Z dynamo/test_ctx_manager 1/1 2025-12-04T09:06:54.8280287Z dynamo/test_exc 1/1 2025-12-04T09:06:54.8280487Z inductor/test_aot_inductor_arrayref 1/2 2025-12-04T09:06:54.8280716Z inductor/test_halide 1/1 2025-12-04T09:06:54.8280924Z inductor/test_deterministic 2/3 2025-12-04T09:06:54.8281144Z dynamo/test_inline_and_install 1/1 2025-12-04T09:06:54.8281383Z export/test_functionalized_assertions 1/1 2025-12-04T09:06:54.8281623Z inductor/test_loop_ordering 1/1 2025-12-04T09:06:54.8281839Z inductor/test_selective_lowering 1/1 2025-12-04T09:06:54.8282081Z dynamo/test_base_output 1/1 2025-12-04T09:06:54.8282287Z inductor/test_lookup_table 1/1 2025-12-04T09:06:54.8282493Z export/test_serialize 1/1 2025-12-04T09:06:54.8282702Z inductor/test_cutedsl_template 1/1 2025-12-04T09:06:54.8282926Z inductor/test_inductor_scheduler 1/1 2025-12-04T09:06:54.8283160Z inductor/test_move_constructors_to_gpu 1/1 2025-12-04T09:06:54.8283390Z export/test_export_strict 1/1 2025-12-04T09:06:54.8283593Z dynamo/test_modules 1/1 2025-12-04T09:06:54.8283794Z export/test_serdes 1/1 2025-12-04T09:06:54.8283983Z dynamo/test_regional_inductor 1/1 2025-12-04T09:06:54.8284203Z inductor/test_remote_cache 1/1 2025-12-04T09:06:54.8284430Z inductor/test_coordinate_descent_tuner 1/1 2025-12-04T09:06:54.8284667Z inductor/test_inplace_padding 1/1 2025-12-04T09:06:54.8284884Z inductor/test_cudacodecache 1/1 2025-12-04T09:06:54.8285104Z inductor/test_minifier_utils 1/1 2025-12-04T09:06:54.8285312Z inductor/test_debug_trace 1/1 2025-12-04T09:06:54.8285519Z dynamo/test_recompiles 1/1 2025-12-04T09:06:54.8285724Z inductor/test_foreach 1/1 2025-12-04T09:06:54.8285932Z inductor/test_compiled_optimizers 2/3 2025-12-04T09:06:54.8286157Z inductor/test_control_flow 2/5 2025-12-04T09:06:54.8286367Z inductor/test_fxir_backend 1/1 2025-12-04T09:06:54.8286601Z dynamo/test_cudagraphs_expandable_segments 1/1 2025-12-04T09:06:54.8286839Z inductor/test_caching 1/1 2025-12-04T09:06:54.8287040Z dynamo/test_aot_autograd_cache 1/1 2025-12-04T09:06:54.8287262Z dynamo/test_flat_apply 1/1 2025-12-04T09:06:54.8287468Z dynamo/test_input_attr_tracking 1/1 2025-12-04T09:06:54.8287699Z dynamo/test_compiler_bisector 1/1 2025-12-04T09:06:54.8287926Z dynamo/test_graph_deduplication 1/1 2025-12-04T09:06:54.8288146Z dynamo/test_structured_trace 1/1 2025-12-04T09:06:54.8288360Z dynamo/test_error_messages 1/1 2025-12-04T09:06:54.8288578Z dynamo/test_bytecode_utils 1/1 2025-12-04T09:06:54.8288781Z export/test_nativert 1/1 2025-12-04T09:06:54.8288993Z inductor/test_custom_op_autotune 1/1 2025-12-04T09:06:54.8289218Z export/test_hop 1/1 2025-12-04T09:06:54.8289405Z dynamo/test_tree_map 1/1 2025-12-04T09:06:54.8289592Z dynamo/test_minifier 1/1 2025-12-04T09:06:54.8289789Z dynamo/test_guard_manager 1/1 2025-12-04T09:06:54.8289994Z export/test_schema 1/1 2025-12-04T09:06:54.8290180Z export/test_pass_infra 1/1 2025-12-04T09:06:54.8290380Z dynamo/test_recompile_ux 1/1 2025-12-04T09:06:54.8290677Z export/test_experimental 1/1 2025-12-04T09:06:54.8290873Z export/test_converter 1/1 2025-12-04T09:06:54.8291066Z export/test_export 1/1 2025-12-04T09:06:54.8291272Z test_model_exports_to_core_aten 1/1 2025-12-04T09:06:54.8291587Z dynamo/test_precompile_context 1/1 2025-12-04T09:06:54.8291812Z dynamo/test_trace_rules 1/1 2025-12-04T09:06:54.8292013Z export/test_upgrader 1/1 2025-12-04T09:06:54.8292198Z dynamo/test_hooks 1/1 2025-12-04T09:06:54.8292388Z dynamo/test_reorder_logs 1/1 2025-12-04T09:06:54.8292586Z dynamo/test_subclasses 1/1 2025-12-04T09:06:54.8292783Z dynamo/test_generator 1/1 2025-12-04T09:06:54.8292975Z export/test_lift_unlift 1/1 2025-12-04T09:06:54.8293173Z dynamo/test_decorators 1/1 2025-12-04T09:06:54.8293365Z export/test_verifier 1/1 2025-12-04T09:06:54.8293552Z export/test_sparse 1/1 2025-12-04T09:06:54.8293733Z xpu/test_fusion 1/1 2025-12-04T09:06:54.8293901Z test_ops_jit 1/2 2025-12-04T09:06:54.8294064Z test_ops_jit 2/2 2025-12-04T09:06:54.8294238Z test_numpy_interop 1/1 2025-12-04T09:06:54.8294433Z profiler/test_cpp_thread 1/1 2025-12-04T09:06:54.8294627Z test_ops_gradients 1/4 2025-12-04T09:06:54.8294802Z test_linalg 1/1 2025-12-04T09:06:54.8294991Z test_functionalization_of_rng_ops 1/1 2025-12-04T09:06:54.8295227Z test_fx_reinplace_pass 1/1 2025-12-04T09:06:54.8295428Z functorch/test_control_flow 1/4 2025-12-04T09:06:54.8295637Z nn/test_packed_sequence 1/1 2025-12-04T09:06:54.8295829Z test_numa_binding 1/1 2025-12-04T09:06:54.8296018Z test_pruning_op 1/1 2025-12-04T09:06:54.8296193Z test_jit_fuser_te 1/1 2025-12-04T09:06:54.8296361Z test_logging 1/1 2025-12-04T09:06:54.8296531Z nn/test_lazy_modules 1/1 2025-12-04T09:06:54.8296715Z nn/test_pruning 1/1 2025-12-04T09:06:54.8296884Z test_monitor 1/1 2025-12-04T09:06:54.8297047Z test_cuda_sanitizer 1/1 2025-12-04T09:06:54.8297236Z test_bundled_inputs 1/1 2025-12-04T09:06:54.8297445Z torch_np/numpy_tests/core/test_numeric 1/1 2025-12-04T09:06:54.8297704Z torch_np/numpy_tests/core/test_multiarray 1/1 2025-12-04T09:06:54.8297940Z test_itt 1/1 2025-12-04T09:06:54.8298250Z torch_np/numpy_tests/lib/test_function_base 1/1 2025-12-04T09:06:54.8298486Z test_masked 1/1 2025-12-04T09:06:54.8298653Z test_sympy_utils 1/1 2025-12-04T09:06:54.8298833Z test_subclass 1/1 2025-12-04T09:06:54.8299001Z test_import_stats 1/1 2025-12-04T09:06:54.8299200Z functorch/test_vmap_registrations 1/1 2025-12-04T09:06:54.8299428Z nn/test_parametrization 1/1 2025-12-04T09:06:54.8299617Z test_mkldnn_fusion 1/1 2025-12-04T09:06:54.8299800Z lazy/test_ts_opinfo 1/1 2025-12-04T09:06:54.8299987Z test_dynamic_shapes 1/1 2025-12-04T09:06:54.8300192Z complex_tensor/test_complex_tensor 1/3 2025-12-04T09:06:54.8300419Z optim/test_optim 1/1 2025-12-04T09:06:54.8300606Z functorch/test_ops 3/9 2025-12-04T09:06:54.8300795Z functorch/test_ops 9/9 2025-12-04T09:06:54.8301000Z torch_np/numpy_tests/lib/test_shape_base_ 1/1 2025-12-04T09:06:54.8301272Z torch_np/numpy_tests/core/test_getlimits 1/1 2025-12-04T09:06:54.8301518Z torch_np/test_ndarray_methods 1/1 2025-12-04T09:06:54.8301719Z test_view_ops 1/1 2025-12-04T09:06:54.8301902Z test_type_info 1/1 2025-12-04T09:06:54.8302090Z functorch/test_aotdispatch 1/1 2025-12-04T09:06:54.8302317Z torch_np/numpy_tests/core/test_dlpack 1/1 2025-12-04T09:06:54.8302552Z test_scatter_gather_ops 1/1 2025-12-04T09:06:54.8302747Z test_cuda_multigpu 1/1 2025-12-04T09:06:54.8302926Z functorch/test_vmap 1/1 2025-12-04T09:06:54.8303120Z Name: excluded (est. time: 0.0min) 2025-12-04T09:06:54.8303320Z Serial tests (0): 2025-12-04T09:06:54.8303483Z Parallel tests (0): 2025-12-04T09:06:54.8303773Z Running inductor/test_aot_inductor 2/4 ... [2025-12-04 09:06:54.829335][861.248135812] 2025-12-04T09:06:54.8304109Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:06:54.8305092Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor.py', '-m', 'serial', '--shard-id=2', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:06:54.829684] 2025-12-04T09:07:03.4466446Z 2025-12-04T09:07:03.4467345Z inductor/test_aot_inductor 2/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_2.4_1dcfb4014374e4d0_.log 2025-12-04T09:07:03.4468108Z Running 0 items in this shard: 2025-12-04T09:07:03.4468296Z 2025-12-04T09:07:03.4468570Z Finished inductor/test_aot_inductor 2/4 ... [2025-12-04 09:07:03.446589][869.865387495], took 0.14min 2025-12-04T09:07:03.4475465Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-4126115a69748522.xml 2025-12-04T09:07:03.8133404Z Uploading artifacts took 0.11 seconds 2025-12-04T09:07:03.8136383Z Running inductor/test_cuda_select_algorithm 1/1 ... [2025-12-04 09:07:03.813397][870.232193626] 2025-12-04T09:07:03.8136882Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:03.8140412Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cuda_select_algorithm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:03.813748] 2025-12-04T09:07:09.7429698Z 2025-12-04T09:07:09.7430651Z inductor/test_cuda_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cuda_select_algorithm_1.1_549c041a966bc797_.log 2025-12-04T09:07:09.7431464Z Running 0 items in this shard: 2025-12-04T09:07:09.7431642Z 2025-12-04T09:07:09.7431954Z Finished inductor/test_cuda_select_algorithm 1/1 ... [2025-12-04 09:07:09.742764][876.161562492], took 0.10min 2025-12-04T09:07:09.7438069Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-1a2e2983cee75894.xml 2025-12-04T09:07:09.7687802Z Running inductor/test_compile_subprocess 1/2 ... [2025-12-04 09:07:09.768554][876.187355415] 2025-12-04T09:07:09.7688282Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:09.7691254Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compile_subprocess.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 09:07:09.768851] 2025-12-04T09:07:16.8619409Z 2025-12-04T09:07:16.8620330Z inductor/test_compile_subprocess 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_subprocess_1.2_7a3ce5127db5fee5_.log 2025-12-04T09:07:16.8621207Z Running 0 items in this shard: 2025-12-04T09:07:16.8621400Z 2025-12-04T09:07:16.8621710Z Finished inductor/test_compile_subprocess 1/2 ... [2025-12-04 09:07:16.861665][883.280464386], took 0.12min 2025-12-04T09:07:16.8628554Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-938f7fb38d6a143e.xml 2025-12-04T09:07:16.9294637Z Running inductor/test_compile_subprocess 2/2 ... [2025-12-04 09:07:16.929219][883.348020135] 2025-12-04T09:07:16.9295135Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:16.9298386Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compile_subprocess.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 09:07:16.929524] 2025-12-04T09:07:24.0286742Z 2025-12-04T09:07:24.0288036Z inductor/test_compile_subprocess 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_subprocess_2.2_fe500270512afc41_.log 2025-12-04T09:07:24.0288839Z Running 0 items in this shard: 2025-12-04T09:07:24.0289199Z 2025-12-04T09:07:24.0289517Z Finished inductor/test_compile_subprocess 2/2 ... [2025-12-04 09:07:24.028421][890.447220644], took 0.12min 2025-12-04T09:07:24.0298208Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-d1c2f4ac6cb48983.xml 2025-12-04T09:07:24.1041887Z Running export/test_retraceability 1/1 ... [2025-12-04 09:07:24.103925][890.522725276] 2025-12-04T09:07:24.1042353Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:24.1045063Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_retraceability.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:24.104237] 2025-12-04T09:07:30.8493830Z 2025-12-04T09:07:30.8494824Z export/test_retraceability 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_retraceability_1.1_63ab9f749be0a5fb_.log 2025-12-04T09:07:30.8495937Z Running 0 items in this shard: 2025-12-04T09:07:30.8496162Z 2025-12-04T09:07:30.8496459Z Finished export/test_retraceability 1/1 ... [2025-12-04 09:07:30.849150][897.26794975], took 0.11min 2025-12-04T09:07:30.8506294Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_retraceability/export.test_retraceability-6108b26755d480bc.xml 2025-12-04T09:07:30.9273256Z Running test_decomp 5/22 ... [2025-12-04 09:07:30.927100][897.345901017] 2025-12-04T09:07:30.9273668Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:30.9276694Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=5', '--num-shards=22', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:30.927407] 2025-12-04T09:07:47.5743837Z 2025-12-04T09:07:47.5744705Z test_decomp 5/22 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_5.22_ef2bdf589c3e02d5_.log 2025-12-04T09:07:47.5745393Z Running 0 items in this shard: 2025-12-04T09:07:47.5745585Z 2025-12-04T09:07:47.5745822Z Finished test_decomp 5/22 ... [2025-12-04 09:07:47.574143][913.992940923], took 0.28min 2025-12-04T09:07:47.5758893Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-73a3182533d494fe.xml 2025-12-04T09:07:47.6570103Z Running test_decomp 7/22 ... [2025-12-04 09:07:47.656774][914.075574762] 2025-12-04T09:07:47.6570516Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:07:47.6573524Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=7', '--num-shards=22', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:07:47.657093] 2025-12-04T09:08:04.4783136Z 2025-12-04T09:08:04.4783947Z test_decomp 7/22 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_7.22_6ffa42ccba4e5af4_.log 2025-12-04T09:08:04.4784647Z Running 0 items in this shard: 2025-12-04T09:08:04.4784836Z 2025-12-04T09:08:04.4785056Z Finished test_decomp 7/22 ... [2025-12-04 09:08:04.477829][930.896628278], took 0.28min 2025-12-04T09:08:04.4796456Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-b1796a0e58559a17.xml 2025-12-04T09:08:04.5491370Z Running test_decomp 11/22 ... [2025-12-04 09:08:04.548883][930.967684282] 2025-12-04T09:08:04.5492115Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:04.5495087Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=11', '--num-shards=22', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:04.549185] 2025-12-04T09:08:21.3060984Z 2025-12-04T09:08:21.3061936Z test_decomp 11/22 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_11.22_118634acaf113fb7_.log 2025-12-04T09:08:21.3062591Z Running 0 items in this shard: 2025-12-04T09:08:21.3062769Z 2025-12-04T09:08:21.3062991Z Finished test_decomp 11/22 ... [2025-12-04 09:08:21.305851][947.724650742], took 0.28min 2025-12-04T09:08:21.3077751Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-20bbdb3c4eebfd53.xml 2025-12-04T09:08:21.3834596Z Running test_decomp 17/22 ... [2025-12-04 09:08:21.383214][947.802015133] 2025-12-04T09:08:21.3835014Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:21.3837814Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=17', '--num-shards=22', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:21.383505] 2025-12-04T09:08:38.1202459Z 2025-12-04T09:08:38.1203249Z test_decomp 17/22 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_17.22_437c58cb36a5c584_.log 2025-12-04T09:08:38.1203934Z Running 0 items in this shard: 2025-12-04T09:08:38.1204117Z 2025-12-04T09:08:38.1204349Z Finished test_decomp 17/22 ... [2025-12-04 09:08:38.119413][964.538210653], took 0.28min 2025-12-04T09:08:38.1214090Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-cd9763372d1dad34.xml 2025-12-04T09:08:38.1901903Z Running test_decomp 19/22 ... [2025-12-04 09:08:38.189943][964.608742771] 2025-12-04T09:08:38.1902330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:38.1905312Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=19', '--num-shards=22', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:38.190250] 2025-12-04T09:08:55.0055078Z 2025-12-04T09:08:55.0055798Z test_decomp 19/22 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_19.22_d7e91f1bcb4b391d_.log 2025-12-04T09:08:55.0056333Z Running 0 items in this shard: 2025-12-04T09:08:55.0056484Z 2025-12-04T09:08:55.0056667Z Finished test_decomp 19/22 ... [2025-12-04 09:08:55.005305][981.424101497], took 0.28min 2025-12-04T09:08:55.0073823Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-b2fbd69a77602186.xml 2025-12-04T09:08:55.0773725Z Running test_cuda_expandable_segments 1/1 ... [2025-12-04 09:08:55.077133][981.495931976] 2025-12-04T09:08:55.0774212Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:08:55.0777172Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_expandable_segments.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:08:55.077441] 2025-12-04T09:09:06.2768167Z 2025-12-04T09:09:06.2769243Z PRINTING LOG FILE of test_cuda_expandable_segments 1/1 (test/test-reports/test_cuda_expandable_segments_1.1_6ccca15846419f26_.log) 2025-12-04T09:09:06.2771219Z /var/lib/jenkins/workspace/test/test_cuda_expandable_segments.py:36: FutureWarning: torch.cuda._set_allocator_settings is deprecated. Use torch._C._accelerator_setAllocatorSettings instead. 2025-12-04T09:09:06.2773017Z torch.cuda.memory._set_allocator_settings("expandable_segments:True") 2025-12-04T09:09:06.2774274Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to ./.pytorch-disabled-tests.json 2025-12-04T09:09:06.2775632Z Test results will be stored in test-reports/python-pytest/test_cuda_expandable_segments/test_cuda_expandable_segments-2a19a17c6624ed5b.xml 2025-12-04T09:09:06.2776590Z ============================= test session starts ============================== 2025-12-04T09:09:06.2777271Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T09:09:06.2777765Z cachedir: .pytest_cache 2025-12-04T09:09:06.2778450Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T09:09:06.2779212Z rootdir: /var/lib/jenkins/workspace 2025-12-04T09:09:06.2779577Z configfile: pytest.ini 2025-12-04T09:09:06.2780306Z 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 2025-12-04T09:09:06.2781268Z collecting ... collected 175 items / 7600 deselected / -7425 selected 2025-12-04T09:09:06.2781841Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T09:09:06.2825406Z Running 100 items in this shard: test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory 2025-12-04T09:09:06.2848257Z 2025-12-04T09:09:06.2848560Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py PASSED [0.1445s] [ 1%] 2025-12-04T09:09:06.2849528Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2850461Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1502s] [ 2%] 2025-12-04T09:09:06.2851038Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1302s] [ 2%] 2025-12-04T09:09:06.2851610Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1282s] [ 2%] 2025-12-04T09:09:06.2852194Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1272s] [ 2%] 2025-12-04T09:09:06.2852763Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1265s] [ 2%] 2025-12-04T09:09:06.2853323Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1264s] [ 2%] 2025-12-04T09:09:06.2853884Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1258s] [ 2%] 2025-12-04T09:09:06.2854442Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1258s] [ 2%] 2025-12-04T09:09:06.2855001Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1279s] [ 2%] 2025-12-04T09:09:06.2855558Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1279s] [ 2%] 2025-12-04T09:09:06.2856118Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1273s] [ 2%] 2025-12-04T09:09:06.2856678Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1282s] [ 2%] 2025-12-04T09:09:06.2857234Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1274s] [ 2%] 2025-12-04T09:09:06.2857883Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1283s] [ 2%] 2025-12-04T09:09:06.2858632Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1269s] [ 2%] 2025-12-04T09:09:06.2859193Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1268s] [ 2%] 2025-12-04T09:09:06.2859742Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1305s] [ 2%] 2025-12-04T09:09:06.2860300Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1278s] [ 2%] 2025-12-04T09:09:06.2860857Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1261s] [ 2%] 2025-12-04T09:09:06.2861413Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1261s] [ 2%] 2025-12-04T09:09:06.2861965Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1273s] [ 2%] 2025-12-04T09:09:06.2862851Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1279s] [ 2%] 2025-12-04T09:09:06.2863915Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1274s] [ 2%] 2025-12-04T09:09:06.2864994Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1268s] [ 2%] 2025-12-04T09:09:06.2866046Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1296s] [ 2%] 2025-12-04T09:09:06.2866625Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1278s] [ 2%] 2025-12-04T09:09:06.2867182Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1270s] [ 2%] 2025-12-04T09:09:06.2867746Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1272s] [ 2%] 2025-12-04T09:09:06.2868298Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1265s] [ 2%] 2025-12-04T09:09:06.2868874Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1261s] [ 2%] 2025-12-04T09:09:06.2869454Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1264s] [ 2%] 2025-12-04T09:09:06.2870025Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1281s] [ 2%] 2025-12-04T09:09:06.2870577Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1297s] [ 2%] 2025-12-04T09:09:06.2871131Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1278s] [ 2%] 2025-12-04T09:09:06.2871692Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1266s] [ 2%] 2025-12-04T09:09:06.2872251Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1263s] [ 2%] 2025-12-04T09:09:06.2872803Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1272s] [ 2%] 2025-12-04T09:09:06.2873360Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1272s] [ 2%] 2025-12-04T09:09:06.2873916Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1272s] [ 2%] 2025-12-04T09:09:06.2874472Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1293s] [ 2%] 2025-12-04T09:09:06.2875021Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1290s] [ 2%] 2025-12-04T09:09:06.2875579Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1272s] [ 2%] 2025-12-04T09:09:06.2876276Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1277s] [ 2%] 2025-12-04T09:09:06.2876908Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1279s] [ 2%] 2025-12-04T09:09:06.2877463Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1270s] [ 2%] 2025-12-04T09:09:06.2878037Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1265s] [ 2%] 2025-12-04T09:09:06.2878597Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1266s] [ 2%] 2025-12-04T09:09:06.2879154Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1268s] [ 2%] 2025-12-04T09:09:06.2879705Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py FAILED [0.1276s] [ 2%] 2025-12-04T09:09:06.2880642Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2881903Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2883342Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2884592Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2885896Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2887797Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2890208Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2892672Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2895128Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2896553Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2897822Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2899169Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2900649Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2901903Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2903148Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2904409Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2905649Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2906880Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2908117Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2909372Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2910619Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2911854Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2913395Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2914648Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2915893Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2917135Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2918378Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2919882Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2921132Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2922367Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2923632Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2924877Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2926118Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2927364Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2928611Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2929844Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2931085Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2932327Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2933572Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2934818Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2936056Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2937294Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2938752Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2940003Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2941243Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0004s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2942483Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2943732Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2944971Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2946204Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:09:06.2946876Z 2025-12-04T09:09:06.2946977Z =================================== FAILURES =================================== 2025-12-04T09:09:06.2947320Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.2947627Z Traceback (most recent call last): 2025-12-04T09:09:06.2947987Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.2948355Z check_stats(expected) 2025-12-04T09:09:06.2948661Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.2949002Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.2949469Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.2950002Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.2950293Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.2950453Z 2025-12-04T09:09:06.2950527Z Expected 196608 but got 0. 2025-12-04T09:09:06.2950727Z Absolute difference: 196608 2025-12-04T09:09:06.2950923Z Relative difference: 1.0 2025-12-04T09:09:06.2951041Z 2025-12-04T09:09:06.2951187Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.2951526Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.2951730Z 2025-12-04T09:09:06.2951893Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.2952272Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2952593Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2952917Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.2953206Z Traceback (most recent call last): 2025-12-04T09:09:06.2953560Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.2953989Z check_stats(expected) 2025-12-04T09:09:06.2954279Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.2954605Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.2955143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.2955667Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.2955951Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.2956099Z 2025-12-04T09:09:06.2956173Z Expected 196608 but got 0. 2025-12-04T09:09:06.2956357Z Absolute difference: 196608 2025-12-04T09:09:06.2956547Z Relative difference: 1.0 2025-12-04T09:09:06.2956662Z 2025-12-04T09:09:06.2956800Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.2957129Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.2957332Z 2025-12-04T09:09:06.2957494Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.2957876Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2958214Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2958524Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2958832Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2959143Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.2959439Z Traceback (most recent call last): 2025-12-04T09:09:06.2959792Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.2960149Z check_stats(expected) 2025-12-04T09:09:06.2960436Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.2960771Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.2961244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.2961769Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.2962048Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.2962207Z 2025-12-04T09:09:06.2962276Z Expected 196608 but got 0. 2025-12-04T09:09:06.2962471Z Absolute difference: 196608 2025-12-04T09:09:06.2962656Z Relative difference: 1.0 2025-12-04T09:09:06.2962781Z 2025-12-04T09:09:06.2962910Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.2963237Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.2963435Z 2025-12-04T09:09:06.2963600Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.2963969Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2964290Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2964598Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2964911Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2965221Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2965530Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2965841Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.2966125Z Traceback (most recent call last): 2025-12-04T09:09:06.2966485Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.2966840Z check_stats(expected) 2025-12-04T09:09:06.2967122Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.2967444Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.2967902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.2968502Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.2968776Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.2968929Z 2025-12-04T09:09:06.2968997Z Expected 196608 but got 0. 2025-12-04T09:09:06.2969257Z Absolute difference: 196608 2025-12-04T09:09:06.2969444Z Relative difference: 1.0 2025-12-04T09:09:06.2969577Z 2025-12-04T09:09:06.2969706Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.2970031Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.2970225Z 2025-12-04T09:09:06.2970389Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.2970747Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2971055Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2971360Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2971668Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2971968Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2972274Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2972575Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2972871Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2973180Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.2973469Z Traceback (most recent call last): 2025-12-04T09:09:06.2973807Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.2974162Z check_stats(expected) 2025-12-04T09:09:06.2974451Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.2974768Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.2975227Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.2975745Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.2976027Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.2976175Z 2025-12-04T09:09:06.2976244Z Expected 196608 but got 0. 2025-12-04T09:09:06.2976433Z Absolute difference: 196608 2025-12-04T09:09:06.2976625Z Relative difference: 1.0 2025-12-04T09:09:06.2976739Z 2025-12-04T09:09:06.2976864Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.2977184Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.2977384Z 2025-12-04T09:09:06.2977540Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.2977909Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2978291Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2978606Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2978917Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2979222Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2979528Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2979828Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2980131Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2980427Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2980733Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2981044Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.2981329Z Traceback (most recent call last): 2025-12-04T09:09:06.2981675Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.2982106Z check_stats(expected) 2025-12-04T09:09:06.2982389Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.2982784Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.2983243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.2983752Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.2984025Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.2984178Z 2025-12-04T09:09:06.2984246Z Expected 196608 but got 0. 2025-12-04T09:09:06.2984431Z Absolute difference: 196608 2025-12-04T09:09:06.2984615Z Relative difference: 1.0 2025-12-04T09:09:06.2984737Z 2025-12-04T09:09:06.2984862Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.2985183Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.2985378Z 2025-12-04T09:09:06.2985539Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.2985896Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2986211Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2986516Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2986822Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2987129Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2987446Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2987752Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2988055Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2988356Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2988681Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2988985Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2989288Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2989602Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.2989892Z Traceback (most recent call last): 2025-12-04T09:09:06.2990240Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.2990597Z check_stats(expected) 2025-12-04T09:09:06.2990889Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.2991213Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.2991662Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.2992178Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.2992482Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.2992632Z 2025-12-04T09:09:06.2992701Z Expected 196608 but got 0. 2025-12-04T09:09:06.2992893Z Absolute difference: 196608 2025-12-04T09:09:06.2993091Z Relative difference: 1.0 2025-12-04T09:09:06.2993215Z 2025-12-04T09:09:06.2993354Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.2993678Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.2993878Z 2025-12-04T09:09:06.2994042Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.2994412Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2994722Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2995033Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2995342Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2995727Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2996029Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2996399Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2996710Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2997003Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2997304Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2997613Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2997924Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2998215Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.2998533Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.2998846Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.2999140Z Traceback (most recent call last): 2025-12-04T09:09:06.2999482Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.2999843Z check_stats(expected) 2025-12-04T09:09:06.3000133Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3000464Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3000922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3001438Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3001728Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3001877Z 2025-12-04T09:09:06.3001947Z Expected 196608 but got 0. 2025-12-04T09:09:06.3002139Z Absolute difference: 196608 2025-12-04T09:09:06.3002335Z Relative difference: 1.0 2025-12-04T09:09:06.3002451Z 2025-12-04T09:09:06.3002581Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3002918Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3003114Z 2025-12-04T09:09:06.3003281Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3003651Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3003961Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3004269Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3004575Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3004871Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3005188Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3005488Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3005791Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3006087Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3006389Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3006688Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3006988Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3007287Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3007593Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3007890Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3008190Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3008495Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3008783Z Traceback (most recent call last): 2025-12-04T09:09:06.3009127Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3009578Z check_stats(expected) 2025-12-04T09:09:06.3009872Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3010282Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3010747Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3011261Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3011545Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3011696Z 2025-12-04T09:09:06.3011767Z Expected 196608 but got 0. 2025-12-04T09:09:06.3012148Z Absolute difference: 196608 2025-12-04T09:09:06.3012406Z Relative difference: 1.0 2025-12-04T09:09:06.3012531Z 2025-12-04T09:09:06.3012667Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3013007Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3013220Z 2025-12-04T09:09:06.3013387Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3013767Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3014095Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3014409Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3014736Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3015042Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3015345Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3015647Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3015955Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3016251Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3016566Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3016867Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3017171Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3017476Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3017779Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3018129Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3018428Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3018728Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3019031Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3019333Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3019621Z Traceback (most recent call last): 2025-12-04T09:09:06.3019979Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3020337Z check_stats(expected) 2025-12-04T09:09:06.3020624Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3020951Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3021409Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3021923Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3022206Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3022370Z 2025-12-04T09:09:06.3022443Z Expected 196608 but got 0. 2025-12-04T09:09:06.3022634Z Absolute difference: 196608 2025-12-04T09:09:06.3022821Z Relative difference: 1.0 2025-12-04T09:09:06.3022940Z 2025-12-04T09:09:06.3023066Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3023551Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3023745Z 2025-12-04T09:09:06.3023917Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3024392Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3024726Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3025035Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3025344Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3025650Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3025957Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3026250Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3026555Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3026853Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3027165Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3027459Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3027769Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3028067Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3028367Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3028666Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3028974Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3029276Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3029576Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3029876Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3030200Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3030505Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3030799Z Traceback (most recent call last): 2025-12-04T09:09:06.3031144Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3031504Z check_stats(expected) 2025-12-04T09:09:06.3031789Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3032117Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3032573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3033080Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3033362Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3033509Z 2025-12-04T09:09:06.3033583Z Expected 196608 but got 0. 2025-12-04T09:09:06.3033776Z Absolute difference: 196608 2025-12-04T09:09:06.3033960Z Relative difference: 1.0 2025-12-04T09:09:06.3034091Z 2025-12-04T09:09:06.3034220Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3034544Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3034738Z 2025-12-04T09:09:06.3034894Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3035258Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3035571Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3035876Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3036176Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3036478Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3036779Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3037163Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3037468Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3037834Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3038142Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3038434Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3038748Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3039048Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3039346Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3039647Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3039954Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3040246Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3040555Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3040857Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3041167Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3041462Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3041766Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3042077Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3042362Z Traceback (most recent call last): 2025-12-04T09:09:06.3042707Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3043065Z check_stats(expected) 2025-12-04T09:09:06.3043356Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3043680Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3044147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3044662Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3044940Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3045099Z 2025-12-04T09:09:06.3045169Z Expected 196608 but got 0. 2025-12-04T09:09:06.3045359Z Absolute difference: 196608 2025-12-04T09:09:06.3045552Z Relative difference: 1.0 2025-12-04T09:09:06.3045670Z 2025-12-04T09:09:06.3045796Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3046124Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3046319Z 2025-12-04T09:09:06.3046488Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3046846Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3047167Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3047470Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3047769Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3048071Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3048375Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3048677Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3048976Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3049272Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3049575Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3049873Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3050172Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3050556Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3050865Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3051254Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3051577Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3051878Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3052182Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3052474Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3052779Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3053077Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3053375Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3053674Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3053988Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3054301Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3054594Z Traceback (most recent call last): 2025-12-04T09:09:06.3054942Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3055296Z check_stats(expected) 2025-12-04T09:09:06.3055576Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3055909Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3056364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3056874Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3057151Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3057310Z 2025-12-04T09:09:06.3057378Z Expected 196608 but got 0. 2025-12-04T09:09:06.3057565Z Absolute difference: 196608 2025-12-04T09:09:06.3057749Z Relative difference: 1.0 2025-12-04T09:09:06.3057869Z 2025-12-04T09:09:06.3058072Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3058406Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3058596Z 2025-12-04T09:09:06.3058763Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3059128Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3059441Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3059743Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3060045Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3060351Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3060662Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3060965Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3061269Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3061568Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3061874Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3062164Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3062482Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3062780Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3063088Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3063376Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3063682Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3064097Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3064394Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3064764Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3065072Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3065364Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3065682Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3065985Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3066290Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3066584Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3066886Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3067194Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3067477Z Traceback (most recent call last): 2025-12-04T09:09:06.3067826Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3068183Z check_stats(expected) 2025-12-04T09:09:06.3068466Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3068785Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3069237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3069747Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3070022Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3070176Z 2025-12-04T09:09:06.3070246Z Expected 196608 but got 0. 2025-12-04T09:09:06.3070434Z Absolute difference: 196608 2025-12-04T09:09:06.3070626Z Relative difference: 1.0 2025-12-04T09:09:06.3070742Z 2025-12-04T09:09:06.3070870Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3071195Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3071391Z 2025-12-04T09:09:06.3071562Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3071923Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3072238Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3072543Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3072853Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3073151Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3073463Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3073778Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3074087Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3074386Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3074703Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3075004Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3075302Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3075605Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3075919Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3076214Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3076518Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3076817Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3077124Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3077499Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3077817Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3078191Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3078496Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3078794Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3079097Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3079392Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3079689Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3079987Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3080290Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3080615Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3080899Z Traceback (most recent call last): 2025-12-04T09:09:06.3081239Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3081591Z check_stats(expected) 2025-12-04T09:09:06.3081872Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3082197Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3082648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3083148Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3083432Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3083580Z 2025-12-04T09:09:06.3083654Z Expected 196608 but got 0. 2025-12-04T09:09:06.3083842Z Absolute difference: 196608 2025-12-04T09:09:06.3084028Z Relative difference: 1.0 2025-12-04T09:09:06.3084154Z 2025-12-04T09:09:06.3084292Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3084617Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3084810Z 2025-12-04T09:09:06.3084968Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3085336Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3085650Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3085955Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3086257Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3086556Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3086860Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3087158Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3087469Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3087769Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3088079Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3088387Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3088698Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3088998Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3089298Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3089598Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3089906Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3090201Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3090510Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3090894Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3091196Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3092311Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3092650Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3092950Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3093250Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3093546Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3093849Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3094148Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3094446Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3094752Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3095055Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3095371Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3095664Z Traceback (most recent call last): 2025-12-04T09:09:06.3096011Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3096361Z check_stats(expected) 2025-12-04T09:09:06.3096640Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3096964Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3097416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3097920Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3098256Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3098417Z 2025-12-04T09:09:06.3098485Z Expected 196608 but got 0. 2025-12-04T09:09:06.3098674Z Absolute difference: 196608 2025-12-04T09:09:06.3098860Z Relative difference: 1.0 2025-12-04T09:09:06.3098981Z 2025-12-04T09:09:06.3099115Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3099441Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3099637Z 2025-12-04T09:09:06.3099796Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3100162Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3100478Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3100785Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3101090Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3101398Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3101714Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3102007Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3102318Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3102621Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3102943Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3103238Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3103549Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3103850Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3104152Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3104456Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3104764Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3105150Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3105450Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3105819Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3106141Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3106438Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3106749Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3107046Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3107350Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3107641Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3107945Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3108243Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3108545Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3108853Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3109166Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3109465Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3109765Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3110074Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3110365Z Traceback (most recent call last): 2025-12-04T09:09:06.3110707Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3111077Z check_stats(expected) 2025-12-04T09:09:06.3111368Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3111694Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3112374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3112899Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3113184Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3113334Z 2025-12-04T09:09:06.3113403Z Expected 196608 but got 0. 2025-12-04T09:09:06.3113592Z Absolute difference: 196608 2025-12-04T09:09:06.3113788Z Relative difference: 1.0 2025-12-04T09:09:06.3113910Z 2025-12-04T09:09:06.3114041Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3114368Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3114569Z 2025-12-04T09:09:06.3114731Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3115109Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3115426Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3115733Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3116052Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3116350Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3116661Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3116964Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3117268Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3117561Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3117869Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3118186Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3118489Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3118956Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3119267Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3119663Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3119979Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3120283Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3120589Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3120882Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3121192Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3121493Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3121798Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3122095Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3122399Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3122700Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3123000Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3123297Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3123611Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3123911Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3124208Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3124505Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3124807Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3138996Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3139376Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3139722Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3140033Z Traceback (most recent call last): 2025-12-04T09:09:06.3140410Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3140776Z check_stats(expected) 2025-12-04T09:09:06.3141086Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3141425Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3141904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3142463Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3142775Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3142930Z 2025-12-04T09:09:06.3143013Z Expected 196608 but got 0. 2025-12-04T09:09:06.3143210Z Absolute difference: 196608 2025-12-04T09:09:06.3143407Z Relative difference: 1.0 2025-12-04T09:09:06.3143525Z 2025-12-04T09:09:06.3143665Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3144007Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3144209Z 2025-12-04T09:09:06.3144375Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3144759Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3145090Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3145401Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3145721Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3146034Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3146332Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3146758Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3147067Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3147434Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3147733Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3148028Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3148332Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3148630Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3148926Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3149227Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3149533Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3149834Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3150129Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3150424Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3150723Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3151009Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3151311Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3151612Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3151911Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3152211Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3152519Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3152830Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3153143Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3153441Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3153742Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3154031Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3154335Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3154625Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3154921Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3155209Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3155509Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3155817Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3156113Z Traceback (most recent call last): 2025-12-04T09:09:06.3156473Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3156829Z check_stats(expected) 2025-12-04T09:09:06.3157117Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3157437Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3157897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3158418Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3158695Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3158857Z 2025-12-04T09:09:06.3158926Z Expected 196608 but got 0. 2025-12-04T09:09:06.3159112Z Absolute difference: 196608 2025-12-04T09:09:06.3159296Z Relative difference: 1.0 2025-12-04T09:09:06.3159413Z 2025-12-04T09:09:06.3159541Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3159944Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3160140Z 2025-12-04T09:09:06.3160307Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3160736Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3161052Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3161352Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3161651Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3161944Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3162255Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3162544Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3162839Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3163133Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3163430Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3163720Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3164018Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3164310Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3164603Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3164893Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3165199Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3165488Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3165782Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3166072Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3166372Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3166661Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3166964Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3167255Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3167549Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3167836Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3168130Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3168419Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3168712Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3169002Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3169302Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3169592Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3169890Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3170183Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3170480Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3170766Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3171063Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3171356Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3171655Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3171956Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3172243Z Traceback (most recent call last): 2025-12-04T09:09:06.3172682Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3173038Z check_stats(expected) 2025-12-04T09:09:06.3173422Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3173755Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3174210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3174730Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3175017Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3175168Z 2025-12-04T09:09:06.3175244Z Expected 196608 but got 0. 2025-12-04T09:09:06.3175429Z Absolute difference: 196608 2025-12-04T09:09:06.3175626Z Relative difference: 1.0 2025-12-04T09:09:06.3175742Z 2025-12-04T09:09:06.3175878Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3176202Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3176409Z 2025-12-04T09:09:06.3176570Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3176938Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3177252Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3177553Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3177860Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3178219Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3178523Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3178823Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3179126Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3179423Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3179729Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3180027Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3180333Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3180626Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3180944Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3181247Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3181553Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3181845Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3182146Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3182441Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3182742Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3183040Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3183347Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3183644Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3183944Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3184242Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3184548Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3184842Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3185146Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3185446Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3185749Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3186142Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3186447Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3186817Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3187119Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3187416Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3187723Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3188034Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3188342Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3188644Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3188975Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3189306Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3189602Z Traceback (most recent call last): 2025-12-04T09:09:06.3189957Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3190323Z check_stats(expected) 2025-12-04T09:09:06.3190612Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3190942Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3191399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3191912Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3192198Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3192350Z 2025-12-04T09:09:06.3192426Z Expected 196608 but got 0. 2025-12-04T09:09:06.3192616Z Absolute difference: 196608 2025-12-04T09:09:06.3192807Z Relative difference: 1.0 2025-12-04T09:09:06.3192939Z 2025-12-04T09:09:06.3193069Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3193395Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3193591Z 2025-12-04T09:09:06.3193756Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3194140Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3194459Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3194770Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3195073Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3195374Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3195678Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3195974Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3196285Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3196584Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3196901Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3197201Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3197505Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3197805Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3198104Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3198402Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3198706Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3198997Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3199305Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3199687Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3199990Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3200354Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3200662Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3200960Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3201259Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3201559Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3201874Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3202174Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3202475Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3202783Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3203089Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3203390Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3203698Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3204000Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3204309Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3204603Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3204908Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3205210Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3205510Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3205808Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3206119Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3206416Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3206717Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3207041Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3207328Z Traceback (most recent call last): 2025-12-04T09:09:06.3207672Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3208026Z check_stats(expected) 2025-12-04T09:09:06.3208312Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3208633Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3209082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3209595Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3209894Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3210046Z 2025-12-04T09:09:06.3210116Z Expected 196608 but got 0. 2025-12-04T09:09:06.3210316Z Absolute difference: 196608 2025-12-04T09:09:06.3210511Z Relative difference: 1.0 2025-12-04T09:09:06.3210630Z 2025-12-04T09:09:06.3210768Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3211098Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3211297Z 2025-12-04T09:09:06.3211458Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3211826Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3212410Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3212737Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3213059Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3213530Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3213844Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3214248Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3214569Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3214871Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3215195Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3215499Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3215805Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3216102Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3216407Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3216715Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3217029Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3217337Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3217644Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3217946Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3218330Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3218636Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3218956Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3219253Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3219562Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3219866Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3220180Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3220478Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3220790Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3221094Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3221394Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3221699Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3222021Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3222323Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3222626Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3222927Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3223244Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3223541Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3223851Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3224159Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3224467Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3224761Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3225071Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3225371Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3225674Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3225984Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3226277Z Traceback (most recent call last): 2025-12-04T09:09:06.3226720Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3227089Z check_stats(expected) 2025-12-04T09:09:06.3227465Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3227803Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3228261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3228785Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3229073Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3229224Z 2025-12-04T09:09:06.3229302Z Expected 196608 but got 0. 2025-12-04T09:09:06.3229494Z Absolute difference: 196608 2025-12-04T09:09:06.3229686Z Relative difference: 1.0 2025-12-04T09:09:06.3229801Z 2025-12-04T09:09:06.3229936Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3230274Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3230485Z 2025-12-04T09:09:06.3230647Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3231027Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3231346Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3231652Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3231962Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3232265Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3232567Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3232868Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3233177Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3233469Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3233780Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3234081Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3234393Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3234689Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3234997Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3235313Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3235615Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3235920Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3236231Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3236532Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3236837Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3237140Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3237446Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3237747Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3238054Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3238354Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3238659Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3238960Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3239268Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3239567Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3239868Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3240252Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3240555Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3240928Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3241236Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3241537Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3241840Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3242134Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3242438Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3242736Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3243045Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3243350Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3243661Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3243961Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3244267Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3244566Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3244870Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3245179Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3245468Z Traceback (most recent call last): 2025-12-04T09:09:06.3245825Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3246183Z check_stats(expected) 2025-12-04T09:09:06.3246470Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3246809Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3247271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3247802Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3248086Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3248240Z 2025-12-04T09:09:06.3248310Z Expected 196608 but got 0. 2025-12-04T09:09:06.3248504Z Absolute difference: 196608 2025-12-04T09:09:06.3248692Z Relative difference: 1.0 2025-12-04T09:09:06.3248696Z 2025-12-04T09:09:06.3248828Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3248948Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3248951Z 2025-12-04T09:09:06.3249119Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3249251Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3249362Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3249494Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3249602Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3249730Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3249842Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3249964Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3250079Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3250207Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3250308Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3250436Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3250544Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3250749Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3250858Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3251049Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3251160Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3251284Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3251385Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3251512Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3251611Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3251736Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3251841Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3251965Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3252075Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3252207Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3252309Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3252439Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3252540Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3252663Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3252770Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3252895Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3253000Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3253124Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3253230Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3253369Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3253477Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3253599Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3253705Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3253828Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3253933Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3254057Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3254157Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3254285Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3254385Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3254512Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3254621Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3254748Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3254857Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3254992Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3255078Z Traceback (most recent call last): 2025-12-04T09:09:06.3255292Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3255362Z check_stats(expected) 2025-12-04T09:09:06.3255538Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3255612Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3255923Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3256131Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3256212Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3256280Z 2025-12-04T09:09:06.3256350Z Expected 196608 but got 0. 2025-12-04T09:09:06.3256425Z Absolute difference: 196608 2025-12-04T09:09:06.3256492Z Relative difference: 1.0 2025-12-04T09:09:06.3256495Z 2025-12-04T09:09:06.3256625Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3256746Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3256749Z 2025-12-04T09:09:06.3256921Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3257055Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3257157Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3257290Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3257391Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3257517Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3257620Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3257742Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3257842Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3257972Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3258163Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3258293Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3258392Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3258514Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3258621Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3258744Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3258848Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3258974Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3259082Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3259213Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3259314Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3259436Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3259539Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3259662Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3259766Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3259892Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3259993Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3260124Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3260225Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3260347Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3260451Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3260574Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3260681Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3260815Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3260917Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3261143Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3261244Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3261443Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3261553Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3261675Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3261785Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3261912Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3262013Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3262134Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3262238Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3262360Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3262467Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3262591Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3262694Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3262823Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3262923Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3263056Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3263137Z Traceback (most recent call last): 2025-12-04T09:09:06.3263342Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3263416Z check_stats(expected) 2025-12-04T09:09:06.3263585Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3263659Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3263978Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3264105Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3264188Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3264196Z 2025-12-04T09:09:06.3264264Z Expected 196608 but got 0. 2025-12-04T09:09:06.3264333Z Absolute difference: 196608 2025-12-04T09:09:06.3264405Z Relative difference: 1.0 2025-12-04T09:09:06.3264409Z 2025-12-04T09:09:06.3264534Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3264652Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3264655Z 2025-12-04T09:09:06.3264817Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3264941Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3265052Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3265176Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3265276Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3265407Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3265508Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3265631Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3265734Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3265858Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3265962Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3266086Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3266185Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3266403Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3266505Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3266692Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3266806Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3266928Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3267032Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3267154Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3267255Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3267384Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3267483Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3267607Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3267732Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3267855Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3267967Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3268090Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3268191Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3268315Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3268416Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3268540Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3268646Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3268768Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3268887Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3269014Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3269117Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3269241Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3269339Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3269461Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3269564Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3269686Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3269790Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3269912Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3270012Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3270149Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3270252Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3270380Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3270485Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3270606Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3270708Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3270834Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3270932Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3271067Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3271143Z Traceback (most recent call last): 2025-12-04T09:09:06.3271351Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3271531Z check_stats(expected) 2025-12-04T09:09:06.3271703Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3271847Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3272164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3272285Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3272370Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3272374Z 2025-12-04T09:09:06.3272441Z Expected 196608 but got 0. 2025-12-04T09:09:06.3272510Z Absolute difference: 196608 2025-12-04T09:09:06.3272584Z Relative difference: 1.0 2025-12-04T09:09:06.3272587Z 2025-12-04T09:09:06.3272723Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3272849Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3272859Z 2025-12-04T09:09:06.3273017Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3273142Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3273252Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3273377Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3273479Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3273606Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3273706Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3273832Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3273932Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3274057Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3274166Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3274286Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3274390Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3274517Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3274616Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3274748Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3274855Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3274977Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3275082Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3275205Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3275306Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3275442Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3275545Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3275684Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3275790Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3275918Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3276024Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3276148Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3276249Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3276387Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3276491Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3276699Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3276801Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3276987Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3277095Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3277230Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3277333Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3277459Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3277561Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3277687Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3277788Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3277912Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3278022Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3278146Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3278252Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3278388Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3278486Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3278613Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3278713Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3278835Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3278936Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3279057Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3279160Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3279287Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3279391Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3279528Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3279606Z Traceback (most recent call last): 2025-12-04T09:09:06.3279817Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3279899Z check_stats(expected) 2025-12-04T09:09:06.3280074Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3280150Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3280474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3280604Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3280700Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3280704Z 2025-12-04T09:09:06.3280772Z Expected 196608 but got 0. 2025-12-04T09:09:06.3280843Z Absolute difference: 196608 2025-12-04T09:09:06.3280920Z Relative difference: 1.0 2025-12-04T09:09:06.3280924Z 2025-12-04T09:09:06.3281052Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3281175Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3281179Z 2025-12-04T09:09:06.3281355Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3281483Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3281594Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3281718Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3281820Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3282049Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3282150Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3282338Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3282445Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3282578Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3282686Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3282810Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3282910Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3283036Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3283135Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3283258Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3283367Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3283489Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3283596Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3283719Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3283819Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3283947Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3284047Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3284181Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3284288Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3284413Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3284521Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3284644Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3284747Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3284877Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3284979Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3285099Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3285203Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3285326Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3285435Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3285556Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3285657Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3285788Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3285887Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3286015Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3286119Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3286241Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3286343Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3286464Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3286565Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3286693Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3286793Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3286996Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3287100Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3287301Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3287407Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3287532Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3287633Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3287758Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3287858Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3287979Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3288084Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3288216Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3288301Z Traceback (most recent call last): 2025-12-04T09:09:06.3288506Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3288573Z check_stats(expected) 2025-12-04T09:09:06.3288758Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3288836Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3289150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3289278Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3289358Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3289362Z 2025-12-04T09:09:06.3289433Z Expected 196608 but got 0. 2025-12-04T09:09:06.3289503Z Absolute difference: 196608 2025-12-04T09:09:06.3289573Z Relative difference: 1.0 2025-12-04T09:09:06.3289576Z 2025-12-04T09:09:06.3289708Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3289833Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3289836Z 2025-12-04T09:09:06.3290000Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3290133Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3290235Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3290361Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3290463Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3290588Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3290694Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3290817Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3290918Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3291048Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3291148Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3291289Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3291392Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3291514Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3291620Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3291745Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3291844Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3291969Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3292069Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3292273Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3292373Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3292561Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3292669Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3292793Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3292891Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3293019Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3293118Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3293242Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3293341Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3293464Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3293573Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3293695Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3293798Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3293938Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3294298Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3294430Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3294529Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3294653Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3294757Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3294882Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3294991Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3295116Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3295217Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3295350Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3295450Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3295573Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3295678Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3295800Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3295903Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3296026Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3296126Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3296258Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3296357Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3296484Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3296588Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3296710Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3296818Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3296953Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3297053Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3297189Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3297265Z Traceback (most recent call last): 2025-12-04T09:09:06.3297469Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3297628Z check_stats(expected) 2025-12-04T09:09:06.3297798Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3297962Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3298341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3298466Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3298552Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3298556Z 2025-12-04T09:09:06.3298623Z Expected 196608 but got 0. 2025-12-04T09:09:06.3298692Z Absolute difference: 196608 2025-12-04T09:09:06.3298764Z Relative difference: 1.0 2025-12-04T09:09:06.3298767Z 2025-12-04T09:09:06.3298892Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3299016Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3299023Z 2025-12-04T09:09:06.3299183Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3299312Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3299424Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3299548Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3299650Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3299787Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3299890Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3300023Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3300125Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3300247Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3300359Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3300487Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3300589Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3300734Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3300839Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3300968Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3301070Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3301193Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3301300Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3301427Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3301528Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3301661Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3301773Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3301907Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3302008Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3302134Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3302241Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3302366Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3302465Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3302591Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3302694Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3302821Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3303001Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3303128Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3303296Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3303420Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3303521Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3303649Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3303749Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3303884Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3303992Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3304115Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3304226Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3304348Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3304452Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3304580Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3304681Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3304809Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3304910Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3305033Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3305139Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3305262Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3305362Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3305503Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3305606Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3305740Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3305842Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3305964Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3306069Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3306192Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3306293Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3306429Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3306506Z Traceback (most recent call last): 2025-12-04T09:09:06.3306713Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3306788Z check_stats(expected) 2025-12-04T09:09:06.3306956Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3307040Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3307350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3307471Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3307556Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3307560Z 2025-12-04T09:09:06.3307628Z Expected 196608 but got 0. 2025-12-04T09:09:06.3307703Z Absolute difference: 196608 2025-12-04T09:09:06.3307773Z Relative difference: 1.0 2025-12-04T09:09:06.3307776Z 2025-12-04T09:09:06.3307903Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3308027Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3308116Z 2025-12-04T09:09:06.3308281Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3308410Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3308584Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3308710Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3308818Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3308943Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3309044Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3309176Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3309277Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3309411Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3309524Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3309647Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3309757Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3309881Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3309982Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3310110Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3310210Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3310334Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3310439Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3310562Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3310668Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3310808Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3310912Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3311044Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3311146Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3311269Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3311377Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3311501Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3311607Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3311731Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3311833Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3312179Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3312325Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3312466Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3312583Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3312707Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3312816Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3312941Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3313042Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3313170Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3313272Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3313398Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3313651Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3313778Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3313979Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3314120Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3314224Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3314354Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3314456Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3314580Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3314690Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3314814Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3314926Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3315049Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3315153Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3315280Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3315382Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3315506Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3315613Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3315737Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3315843Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3315973Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3316082Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3316232Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3316312Z Traceback (most recent call last): 2025-12-04T09:09:06.3316532Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3316610Z check_stats(expected) 2025-12-04T09:09:06.3316786Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3316867Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3317195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3317326Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3317417Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3317421Z 2025-12-04T09:09:06.3317493Z Expected 196608 but got 0. 2025-12-04T09:09:06.3317566Z Absolute difference: 196608 2025-12-04T09:09:06.3317645Z Relative difference: 1.0 2025-12-04T09:09:06.3317648Z 2025-12-04T09:09:06.3317780Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3317911Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3317918Z 2025-12-04T09:09:06.3318096Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3318228Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3318343Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3318468Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3318575Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3318706Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3318808Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3318934Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3319128Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3319255Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3319447Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3319575Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3319684Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3319815Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3319917Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3320046Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3320146Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3320269Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3320381Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3320508Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3320627Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3320756Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3320859Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3320988Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3321089Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3321213Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3321318Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3321441Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3321541Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3321673Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3321774Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3321905Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3322007Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3322133Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3322241Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3322364Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3322466Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3322595Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3322698Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3322834Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3322936Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3323064Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3323173Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3323296Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3323397Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3323526Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3323628Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3323764Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3323871Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3323993Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3324187Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3324312Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3324477Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3324607Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3324709Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3324846Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3324952Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3325074Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3325182Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3325306Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3325412Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3325544Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3325647Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3325777Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3325878Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3326012Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3326096Z Traceback (most recent call last): 2025-12-04T09:09:06.3326305Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3326376Z check_stats(expected) 2025-12-04T09:09:06.3326550Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3326636Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3326958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3327090Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3327174Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3327182Z 2025-12-04T09:09:06.3327258Z Expected 196608 but got 0. 2025-12-04T09:09:06.3327329Z Absolute difference: 196608 2025-12-04T09:09:06.3327402Z Relative difference: 1.0 2025-12-04T09:09:06.3327405Z 2025-12-04T09:09:06.3327540Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3327662Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3327666Z 2025-12-04T09:09:06.3327838Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3327973Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3328077Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3328213Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3328317Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3328449Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3328551Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3328675Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3328782Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3328907Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3329009Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3329139Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3329239Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3329362Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3329555Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3329677Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3329849Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3329975Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3330076Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3330204Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3330303Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3330427Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3330533Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3330656Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3330763Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3330887Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3330990Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3331123Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3331223Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3331345Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3331451Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3331574Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3331680Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3331804Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3331904Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3332037Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3332149Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3332279Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3332388Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3332512Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3332622Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3332745Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3332846Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3332976Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3333077Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3333202Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3333312Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3333437Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3333545Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3333671Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3333771Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3333901Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3334003Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3334127Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3334238Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3334361Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3334559Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3334684Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3334849Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3334982Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3335085Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3335221Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3335331Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3335455Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3335559Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3335683Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3335785Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3335935Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3336012Z Traceback (most recent call last): 2025-12-04T09:09:06.3336219Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3336293Z check_stats(expected) 2025-12-04T09:09:06.3336464Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3336542Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3336857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3336982Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3337085Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3337089Z 2025-12-04T09:09:06.3337160Z Expected 196608 but got 0. 2025-12-04T09:09:06.3337230Z Absolute difference: 196608 2025-12-04T09:09:06.3337307Z Relative difference: 1.0 2025-12-04T09:09:06.3337311Z 2025-12-04T09:09:06.3337439Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3337569Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3337572Z 2025-12-04T09:09:06.3337731Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3337856Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3337964Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3338167Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3338279Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3338402Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3338502Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3338628Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3338734Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3338858Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3338968Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3339093Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3339199Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3339324Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3339425Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3339553Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3339652Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3339774Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3339994Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3340118Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3340289Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3340428Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3340529Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3340659Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3340760Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3340884Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3340990Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3341113Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3341217Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3341347Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3341448Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3341587Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3341690Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3341813Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3341919Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3342042Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3342147Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3342271Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3342373Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3342505Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3342605Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3342730Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3342837Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3342961Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3343068Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3343193Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3343295Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3343424Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3343536Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3343661Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3343776Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3343899Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3344010Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3344136Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3344238Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3344366Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3344469Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3344593Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3344701Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3344825Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3345019Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3345144Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3345339Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3345473Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3345578Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3351434Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3351593Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3351744Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3351869Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3352015Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3352100Z Traceback (most recent call last): 2025-12-04T09:09:06.3352339Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3352415Z check_stats(expected) 2025-12-04T09:09:06.3352604Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3352688Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3353016Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3353149Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3353238Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3353243Z 2025-12-04T09:09:06.3353311Z Expected 196608 but got 0. 2025-12-04T09:09:06.3353388Z Absolute difference: 196608 2025-12-04T09:09:06.3353456Z Relative difference: 1.0 2025-12-04T09:09:06.3353460Z 2025-12-04T09:09:06.3353594Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3353725Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3353733Z 2025-12-04T09:09:06.3353898Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3354038Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3354158Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3354288Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3354400Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3354534Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3354640Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3354770Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3354868Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3354989Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3355098Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3355220Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3355327Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3355449Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3355548Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3355673Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3355776Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3355901Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3356008Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3356130Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3356352Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3356483Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3356649Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3356781Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3356879Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3356999Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3357112Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3357232Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3357333Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3357455Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3357555Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3357685Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3357784Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3357907Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3358007Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3358128Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3358228Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3358349Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3358449Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3358572Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3358669Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3358794Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3358892Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3359015Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3359121Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3359245Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3359346Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3359471Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3359574Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3359698Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3359799Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3359919Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3360027Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3360148Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3360251Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3360377Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3360475Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3360596Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3360701Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3360821Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3360928Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3361050Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3361238Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3361365Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3361466Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3361652Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3361760Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3361891Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3362000Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3362123Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3362223Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3362358Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3362438Z Traceback (most recent call last): 2025-12-04T09:09:06.3362665Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3362740Z check_stats(expected) 2025-12-04T09:09:06.3362919Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3362995Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3363322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3363455Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3363540Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3363544Z 2025-12-04T09:09:06.3363611Z Expected 196608 but got 0. 2025-12-04T09:09:06.3363682Z Absolute difference: 196608 2025-12-04T09:09:06.3363752Z Relative difference: 1.0 2025-12-04T09:09:06.3363755Z 2025-12-04T09:09:06.3363885Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3364010Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3364017Z 2025-12-04T09:09:06.3364181Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3364313Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3364423Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3364548Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3364654Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3364785Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3364885Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3365009Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3365108Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3365230Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3365336Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3365455Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3365557Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3365681Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3365780Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3365904Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3366003Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3366126Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3366228Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3366348Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3366556Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3366680Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3366777Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3366966Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3367068Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3367187Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3367289Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3367408Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3367505Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3367629Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3367730Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3367855Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3367955Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3368081Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3368182Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3368302Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3368410Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3368534Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3368633Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3368752Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3368853Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3368971Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3369075Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3369195Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3369295Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3369417Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3369516Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3369637Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3369739Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3369859Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3369961Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3370091Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3370197Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3370319Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3370420Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3370539Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3370640Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3370758Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3370860Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3370979Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3371077Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3371199Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3371297Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3371497Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3371598Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3371782Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3371884Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3372004Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3372102Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3372224Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3372321Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3372441Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3372541Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3372676Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3372752Z Traceback (most recent call last): 2025-12-04T09:09:06.3372960Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3373027Z check_stats(expected) 2025-12-04T09:09:06.3373199Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3373271Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3373587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3373711Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3373791Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3373795Z 2025-12-04T09:09:06.3373864Z Expected 196608 but got 0. 2025-12-04T09:09:06.3373932Z Absolute difference: 196608 2025-12-04T09:09:06.3373998Z Relative difference: 1.0 2025-12-04T09:09:06.3374004Z 2025-12-04T09:09:06.3374132Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3374253Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3374256Z 2025-12-04T09:09:06.3374419Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3374548Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3374652Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3374776Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3374875Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3374997Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3375098Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3375219Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3375320Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3375452Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3375555Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3375678Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3375777Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3375897Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3376000Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3376119Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3376218Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3376342Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3376442Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3376646Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3376745Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3376943Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3377053Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3377177Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3377275Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3377401Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3377500Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3377625Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3377726Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3377850Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3377955Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3378173Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3378277Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3378408Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3378507Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3378635Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3378736Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3378858Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3378963Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3379084Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3379190Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3379316Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3379417Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3379543Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3379642Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3379762Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3379878Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3380001Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3380100Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3380227Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3380332Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3380459Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3380561Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3380682Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3380786Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3380910Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3381008Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3381137Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3381237Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3381365Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3381474Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3381681Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3381785Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3381987Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3382092Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3382220Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3382318Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3382442Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3382544Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3382664Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3382779Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3382909Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3383008Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3383137Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3383236Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3383371Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3383447Z Traceback (most recent call last): 2025-12-04T09:09:06.3383650Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3383720Z check_stats(expected) 2025-12-04T09:09:06.3383886Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3383959Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3384272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3384398Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3384481Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3384485Z 2025-12-04T09:09:06.3384551Z Expected 196608 but got 0. 2025-12-04T09:09:06.3384626Z Absolute difference: 196608 2025-12-04T09:09:06.3384696Z Relative difference: 1.0 2025-12-04T09:09:06.3384700Z 2025-12-04T09:09:06.3384826Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3384946Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3384950Z 2025-12-04T09:09:06.3385113Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3385237Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3385344Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3385467Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3385573Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3385698Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3385800Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3385923Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3386027Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3386148Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3386251Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3386373Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3386484Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3386610Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3386709Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3386922Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3387026Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3387214Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3387320Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3387441Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3387541Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3387666Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3387766Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3387886Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3387989Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3388115Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3388220Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3388344Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3388447Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3388575Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3388684Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3388807Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3388911Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3389033Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3389136Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3389259Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3389363Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3389487Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3389590Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3389710Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3389815Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3389936Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3390039Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3390163Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3390263Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3390390Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3390494Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3390614Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3390719Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3390843Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3390945Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3391065Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3391164Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3391289Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3391388Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3391508Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3391611Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3391825Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3391926Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3392111Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3392212Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3392337Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3392435Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3392559Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3392661Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3392780Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3392883Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3393003Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3393108Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3393234Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3393338Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3393460Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3393561Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3393688Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3393806Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3393941Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3394044Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3394179Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3394260Z Traceback (most recent call last): 2025-12-04T09:09:06.3394468Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3394542Z check_stats(expected) 2025-12-04T09:09:06.3394716Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3394793Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3395110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3395238Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3395329Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3395333Z 2025-12-04T09:09:06.3395402Z Expected 196608 but got 0. 2025-12-04T09:09:06.3395473Z Absolute difference: 196608 2025-12-04T09:09:06.3395545Z Relative difference: 1.0 2025-12-04T09:09:06.3395549Z 2025-12-04T09:09:06.3395679Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3395808Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3395811Z 2025-12-04T09:09:06.3395970Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3396101Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3396209Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3396333Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3396435Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3396562Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3396662Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3396788Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3396888Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3397099Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3397205Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3397392Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3397494Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3397621Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3397719Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3397845Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3397945Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3398064Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3398168Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3398290Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3398395Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3398520Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3398625Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3398760Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3398862Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3398982Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3399085Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3399208Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3399305Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3399428Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3399530Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3399658Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3399760Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3399882Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3399985Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3400107Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3400208Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3400334Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3400432Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3400559Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3400659Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3400784Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3400889Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3401016Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3401115Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3401244Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3401342Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3401467Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3401566Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3401690Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3401792Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3402004Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3402104Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3402310Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3402412Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3402539Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3402638Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3402760Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3402863Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3402985Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3403085Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3403211Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3403314Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3403438Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3403540Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3403662Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3403765Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3403885Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3403984Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3404109Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3404209Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3404333Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3404448Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3404572Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3404680Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3404801Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3404900Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3405026Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3405126Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3405260Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3405335Z Traceback (most recent call last): 2025-12-04T09:09:06.3405540Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3405613Z check_stats(expected) 2025-12-04T09:09:06.3405784Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3405857Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3406176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3406299Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3406383Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3406387Z 2025-12-04T09:09:06.3406451Z Expected 196608 but got 0. 2025-12-04T09:09:06.3406521Z Absolute difference: 196608 2025-12-04T09:09:06.3406592Z Relative difference: 1.0 2025-12-04T09:09:06.3406595Z 2025-12-04T09:09:06.3406721Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3406842Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3406849Z 2025-12-04T09:09:06.3407012Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3407225Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3407332Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3407520Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3407624Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3407752Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3407852Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3407977Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3408076Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3408198Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3408303Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3408423Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3408527Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3408652Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3408754Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3408878Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3408978Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3409098Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3409214Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3409339Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3409437Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3409563Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3409667Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3409794Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3409897Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3410019Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3410122Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3410242Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3410342Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3410468Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3410576Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3410704Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3410804Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3410931Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3411035Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3411161Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3411261Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3411387Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3411487Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3411623Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3411725Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3411854Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3411952Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3412466Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3412585Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3412828Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3412951Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3413084Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3413187Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3413315Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3413418Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3413541Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3413645Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3413779Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3413893Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3414018Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3414122Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3414251Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3414351Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3414474Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3414578Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3414700Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3414803Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3414926Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3415032Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3415157Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3415257Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3415383Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3415487Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3415609Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3415714Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3415836Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3415937Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3416061Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3416161Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3416289Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3416391Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3416518Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3416623Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3416744Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3416843Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3416982Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3417062Z Traceback (most recent call last): 2025-12-04T09:09:06.3417279Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3417354Z check_stats(expected) 2025-12-04T09:09:06.3417531Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3417703Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3418078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3418280Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3418370Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3418375Z 2025-12-04T09:09:06.3418443Z Expected 196608 but got 0. 2025-12-04T09:09:06.3418513Z Absolute difference: 196608 2025-12-04T09:09:06.3418585Z Relative difference: 1.0 2025-12-04T09:09:06.3418588Z 2025-12-04T09:09:06.3418718Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3418844Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3418848Z 2025-12-04T09:09:06.3419010Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3419138Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3419254Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3419378Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3419486Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3419609Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3419708Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3419833Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3419933Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3420058Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3420161Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3420283Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3420390Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3420512Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3420612Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3420740Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3420840Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3420964Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3421066Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3421187Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3421291Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3421413Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3421512Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3421650Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3421758Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3421883Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3421986Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3422107Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3422210Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3422330Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3422429Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3422557Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3422657Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3422779Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3422982Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3423103Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3423273Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3423398Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3423497Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3423623Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3423726Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3423845Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3423948Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3424067Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3424179Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3424301Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3424404Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3424528Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3424627Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3424748Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3424851Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3424972Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3425075Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3425207Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3425309Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3425438Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3425537Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3425662Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3425766Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3425888Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3425986Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3426110Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3426208Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3426335Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3426433Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3426560Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3426663Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3426789Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3426892Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3427017Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3427116Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3427240Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3427342Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3427463Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3427567Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3427690Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3427866Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3427992Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3428166Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3428294Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3428394Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3428517Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3428620Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3428751Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3428827Z Traceback (most recent call last): 2025-12-04T09:09:06.3429037Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3429113Z check_stats(expected) 2025-12-04T09:09:06.3429285Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3429359Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3429676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3429803Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3429883Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3429887Z 2025-12-04T09:09:06.3429958Z Expected 196608 but got 0. 2025-12-04T09:09:06.3430039Z Absolute difference: 196608 2025-12-04T09:09:06.3430107Z Relative difference: 1.0 2025-12-04T09:09:06.3430110Z 2025-12-04T09:09:06.3430238Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3430358Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3430361Z 2025-12-04T09:09:06.3430523Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3430655Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3430758Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3430887Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3430987Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3431111Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3431216Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3431337Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3431436Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3431562Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3431660Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3431789Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3431889Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3432013Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3432115Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3432237Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3432336Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3432463Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3432563Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3432687Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3432785Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3432918Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3433101Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3433223Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3433403Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3433530Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3433630Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3433757Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3433855Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3433987Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3434093Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3434215Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3434317Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3434443Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3434549Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3434675Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3434776Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3434899Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3435002Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3435123Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3435223Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3435347Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3435445Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3435575Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3435674Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3435801Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3435903Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3436026Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3436128Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3436254Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3436354Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3436478Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3436577Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3436700Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3436805Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3436930Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3437031Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3437157Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3437256Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3437380Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3437478Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3437598Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3437701Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3437824Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3438012Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3438137Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3438302Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3438429Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3438528Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3438650Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3438765Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3438889Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3438988Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3439114Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3439212Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3439340Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3439441Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3439565Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3439667Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3439789Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3439889Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3440018Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3440117Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3440241Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3440340Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3440476Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3440556Z Traceback (most recent call last): 2025-12-04T09:09:06.3440768Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3440840Z check_stats(expected) 2025-12-04T09:09:06.3441009Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3441082Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3441398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3441519Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3441600Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3441604Z 2025-12-04T09:09:06.3441685Z Expected 196608 but got 0. 2025-12-04T09:09:06.3441755Z Absolute difference: 196608 2025-12-04T09:09:06.3441825Z Relative difference: 1.0 2025-12-04T09:09:06.3441833Z 2025-12-04T09:09:06.3441959Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3442079Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3442083Z 2025-12-04T09:09:06.3442250Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3442372Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3442475Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3442603Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3442703Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3442826Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3442925Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3443046Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3443252Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3443373Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3443535Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3443663Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3443762Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3443887Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3443984Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3444104Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3444216Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3444338Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3444440Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3444564Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3444663Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3444791Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3444889Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3445012Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3445114Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3445235Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3445331Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3445455Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3445554Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3445685Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3445785Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3445911Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3446014Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3446137Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3446235Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3446358Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3446456Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3446579Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3446677Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3446802Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3446919Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3447042Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3447143Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3447267Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3447366Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3447488Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3447584Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3447705Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3447808Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3447931Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3448111Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3448235Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3448401Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3448529Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3448635Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3448763Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3448868Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3448989Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3449088Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3449212Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3449313Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3449442Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3449540Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3449664Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3449766Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3449886Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3449985Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3450118Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3450219Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3450344Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3450443Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3450567Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3450668Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3450796Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3450894Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3451019Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3451117Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3451245Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3451343Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3451465Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3451569Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3451690Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3451793Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3451917Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3452021Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3452145Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3452245Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3452376Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3452454Z Traceback (most recent call last): 2025-12-04T09:09:06.3452658Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3452726Z check_stats(expected) 2025-12-04T09:09:06.3452897Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3452971Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3453368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3453489Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3453634Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3453638Z 2025-12-04T09:09:06.3453709Z Expected 196608 but got 0. 2025-12-04T09:09:06.3453779Z Absolute difference: 196608 2025-12-04T09:09:06.3453846Z Relative difference: 1.0 2025-12-04T09:09:06.3453849Z 2025-12-04T09:09:06.3453977Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3454095Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3454098Z 2025-12-04T09:09:06.3454261Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3454384Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3454486Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3454619Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3454717Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3454844Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3454944Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3455065Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3455166Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3455287Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3455385Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3455509Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3455606Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3455733Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3455833Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3455958Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3456062Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3456194Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3456295Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3456417Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3456517Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3456642Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3456740Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3456861Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3456967Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3457091Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3457195Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3457321Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3457418Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3457539Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3457642Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3457763Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3457867Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3458083Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3458273Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3458405Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3458506Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3458716Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3458822Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3458947Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3459049Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3459169Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3459269Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3459395Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3459493Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3459619Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3459720Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3459848Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3459949Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3460071Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3460169Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3460294Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3460401Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3460526Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3460626Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3460748Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3460851Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3460973Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3461075Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3461202Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3461300Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3461421Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3461523Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3461643Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3461745Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3461865Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3461969Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3462093Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3462196Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3462319Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3462422Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3462543Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3462647Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3462768Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3462868Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3462995Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3463093Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3463302Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3463402Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3463586Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3463691Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3463812Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3463910Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3464044Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3464144Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3464265Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3464368Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3464495Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3464596Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3464731Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3464808Z Traceback (most recent call last): 2025-12-04T09:09:06.3465018Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3465087Z check_stats(expected) 2025-12-04T09:09:06.3465256Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3465330Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3465646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3465774Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3465854Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3465860Z 2025-12-04T09:09:06.3465928Z Expected 196608 but got 0. 2025-12-04T09:09:06.3466002Z Absolute difference: 196608 2025-12-04T09:09:06.3466068Z Relative difference: 1.0 2025-12-04T09:09:06.3466071Z 2025-12-04T09:09:06.3466201Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3466325Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3466329Z 2025-12-04T09:09:06.3466489Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3466618Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3466719Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3466841Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3466944Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3467067Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3467181Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3467306Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3467412Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3467535Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3467635Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3467755Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3467857Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3467977Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3468079Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3468199Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3468297Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3468499Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3468597Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3468958Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3469065Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3469186Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3469287Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3469408Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3469506Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3469632Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3469730Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3469857Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3469957Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3470082Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3470184Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3470306Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3470404Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3470526Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3470625Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3470744Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3470847Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3470968Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3471072Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3471196Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3471309Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3471435Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3471535Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3471655Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3471757Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3471878Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3471979Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3472098Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3472200Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3472325Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3472428Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3472549Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3472650Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3472770Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3472872Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3472994Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3473093Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3473218Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3473315Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3473529Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3473631Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3473815Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3473918Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3474043Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3474143Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3474267Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3474363Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3474483Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3474595Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3474721Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3474820Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3474949Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3475049Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3475172Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3475271Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3475391Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3475493Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3475612Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3475710Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3475844Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3475950Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3476076Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3476178Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3476300Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3476403Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3476523Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3476621Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3476744Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3476843Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3476966Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3477068Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3477197Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3477276Z Traceback (most recent call last): 2025-12-04T09:09:06.3477483Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3477551Z check_stats(expected) 2025-12-04T09:09:06.3477722Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3477795Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3478107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3478229Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3478309Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3478312Z 2025-12-04T09:09:06.3478382Z Expected 196608 but got 0. 2025-12-04T09:09:06.3478450Z Absolute difference: 196608 2025-12-04T09:09:06.3478595Z Relative difference: 1.0 2025-12-04T09:09:06.3478601Z 2025-12-04T09:09:06.3478726Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3478928Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3478932Z 2025-12-04T09:09:06.3479094Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3479219Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3479335Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3479461Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3479560Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3479685Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3479786Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3479912Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3480013Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3480137Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3480236Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3480358Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3480457Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3480579Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3480677Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3480797Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3480899Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3481019Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3481123Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3481245Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3481348Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3481474Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3481573Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3481693Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3481796Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3481917Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3482018Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3482142Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3482253Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3482378Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3482481Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3482605Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3482707Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3482828Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3482925Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3483049Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3483147Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3483272Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3483372Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3483581Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3483686Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3483871Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3483972Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3484095Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3484200Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3484326Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3484436Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3484560Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3484665Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3484787Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3484891Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3485017Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3485118Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3485245Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3485346Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3485468Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3485569Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3485690Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3485790Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3485914Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3486019Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3486144Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3486245Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3486365Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3486465Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3486585Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3486683Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3486806Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3486906Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3487035Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3487142Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3487269Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3487371Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3487497Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3487596Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3487719Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3487818Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3487943Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3488042Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3488164Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3488265Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3488467Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3488566Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3488754Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3488858Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3488994Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3489096Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3489216Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3489316Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3489437Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3489535Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3489659Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3489764Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3489893Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3489979Z Traceback (most recent call last): 2025-12-04T09:09:06.3490180Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3490251Z check_stats(expected) 2025-12-04T09:09:06.3490419Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3490491Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3490804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3490925Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3491005Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3491011Z 2025-12-04T09:09:06.3491079Z Expected 196608 but got 0. 2025-12-04T09:09:06.3491149Z Absolute difference: 196608 2025-12-04T09:09:06.3491220Z Relative difference: 1.0 2025-12-04T09:09:06.3491223Z 2025-12-04T09:09:06.3491346Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3491468Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3491472Z 2025-12-04T09:09:06.3491633Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3491757Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3491862Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3491987Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3492089Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3492211Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3492310Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3492440Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3492544Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3492671Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3492775Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3492898Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3492999Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3493125Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3493225Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3493348Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3493455Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3493667Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3493771Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3493959Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3494065Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3494187Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3494287Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3494408Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3494523Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3494645Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3494747Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3494870Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3494974Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3495097Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3495197Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3495319Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3495424Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3495546Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3495650Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3495770Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3495868Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3495992Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3496095Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3496217Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3496323Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3496446Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3496546Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3496667Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3496767Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3496893Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3496992Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3497113Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3497219Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3497343Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3497448Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3497583Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3497684Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3497807Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3497904Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3498071Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3498178Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3498299Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3498403Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3498619Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3498718Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3498907Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3499021Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3499145Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3499251Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3499370Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3499470Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3499592Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3499691Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3499815Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3499917Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3500037Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3500144Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3500264Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3500366Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3500485Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3500584Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3500705Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3500805Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3500926Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3501032Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3501152Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3501267Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3501394Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3501494Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3501618Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3501717Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3501838Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3501942Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3502064Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3502165Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3502292Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3502391Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3502520Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3502619Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3502747Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3502824Z Traceback (most recent call last): 2025-12-04T09:09:06.3503026Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3503093Z check_stats(expected) 2025-12-04T09:09:06.3503264Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3503336Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3503646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3503845Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3503937Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3503941Z 2025-12-04T09:09:06.3504078Z Expected 196608 but got 0. 2025-12-04T09:09:06.3504149Z Absolute difference: 196608 2025-12-04T09:09:06.3504216Z Relative difference: 1.0 2025-12-04T09:09:06.3504222Z 2025-12-04T09:09:06.3504346Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3504464Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3504467Z 2025-12-04T09:09:06.3504629Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3504755Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3504858Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3504983Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3505089Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3505213Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3505327Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3505451Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3505553Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3505674Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3505774Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3505899Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3505998Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3506122Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3506224Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3506344Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3506446Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3506569Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3506668Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3506793Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3506896Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3507021Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3507121Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3507241Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3507341Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3507465Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3507562Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3507692Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3507790Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3507921Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3508027Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3508148Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3508254Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3508373Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3508471Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3508595Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3508774Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3508901Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3509063Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3509188Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3509291Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3509422Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3509521Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3509645Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3509743Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3509868Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3509972Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3510093Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3510198Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3510318Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3510417Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3510538Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3510636Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3510758Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3510858Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3510979Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3511082Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3511206Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3511304Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3511443Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3511544Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3511666Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3511764Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3511885Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3512204Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3512341Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3512449Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3512592Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3512696Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3512833Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3512940Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3513064Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3513168Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3513289Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3513388Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3513511Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3513611Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3513735Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3513982Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3514102Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3514310Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3514438Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3514541Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3514665Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3514766Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3514891Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3515001Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3515122Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3515229Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3515352Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3515451Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3515582Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3515683Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3515806Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3515905Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3516027Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3516131Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3516262Z _______________________ TestCuda.test_host_memory_stats ________________________ 2025-12-04T09:09:06.3516338Z Traceback (most recent call last): 2025-12-04T09:09:06.3516554Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 223, in test_host_memory_stats 2025-12-04T09:09:06.3516623Z check_stats(expected) 2025-12-04T09:09:06.3516799Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 209, in check_stats 2025-12-04T09:09:06.3516876Z self.assertEqual(v, stats[k]) 2025-12-04T09:09:06.3517195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:09:06.3517320Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:09:06.3517400Z AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3517405Z 2025-12-04T09:09:06.3517471Z Expected 196608 but got 0. 2025-12-04T09:09:06.3517545Z Absolute difference: 196608 2025-12-04T09:09:06.3517612Z Relative difference: 1.0 2025-12-04T09:09:06.3517616Z 2025-12-04T09:09:06.3517743Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3517862Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3517870Z 2025-12-04T09:09:06.3518030Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3518161Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3518265Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3518388Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3518495Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3518615Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3518718Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3518838Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3518937Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3519060Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3519267Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3519387Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3519553Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3519677Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3519779Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3519899Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3519998Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3520123Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3520222Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3520344Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3520451Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3520572Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3520677Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3520802Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3520902Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3521028Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3521128Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3521248Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3521349Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3521469Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3521571Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3521696Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3521794Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3521921Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3522022Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3522142Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3522244Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3522365Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3522464Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3522587Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3522696Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3522823Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3522926Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3523051Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3523157Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3523277Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3523380Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3523502Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3523601Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3523725Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3523824Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3523944Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3524124Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3524245Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3524412Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3524536Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3524636Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3524759Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3524860Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3524980Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3525090Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3525216Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3525324Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3525445Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3525545Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3525672Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3525769Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3525890Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3525993Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3526113Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3526227Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3526351Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3526452Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3526584Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3526683Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3526809Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3526912Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3527035Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3527136Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3527258Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3527356Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3527481Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3527581Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3527701Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3527809Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3527929Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3528036Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3528157Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3528261Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3528395Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3528505Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3528628Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3528736Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3533017Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3533281Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3533436Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3533624Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3533758Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:09:06.3533863Z key: allocated_bytes.freed, expected: 0, stats: 196608 2025-12-04T09:09:06.3534342Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_expandable_segments/test_cuda_expandable_segments-2a19a17c6624ed5b.xml - 2025-12-04T09:09:06.3534449Z =========================== short test summary info ============================ 2025-12-04T09:09:06.3534764Z FAILED [0.1502s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3534769Z 2025-12-04T09:09:06.3534841Z Expected 196608 but got 0. 2025-12-04T09:09:06.3534920Z Absolute difference: 196608 2025-12-04T09:09:06.3534991Z Relative difference: 1.0 2025-12-04T09:09:06.3534995Z 2025-12-04T09:09:06.3535133Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3535267Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3535271Z 2025-12-04T09:09:06.3535436Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3535728Z FAILED [0.1302s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3535732Z 2025-12-04T09:09:06.3535805Z Expected 196608 but got 0. 2025-12-04T09:09:06.3535875Z Absolute difference: 196608 2025-12-04T09:09:06.3535944Z Relative difference: 1.0 2025-12-04T09:09:06.3535947Z 2025-12-04T09:09:06.3536077Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3536201Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3536207Z 2025-12-04T09:09:06.3536369Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3536656Z FAILED [0.1282s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3536660Z 2025-12-04T09:09:06.3536729Z Expected 196608 but got 0. 2025-12-04T09:09:06.3536796Z Absolute difference: 196608 2025-12-04T09:09:06.3536872Z Relative difference: 1.0 2025-12-04T09:09:06.3536875Z 2025-12-04T09:09:06.3537002Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3537118Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3537122Z 2025-12-04T09:09:06.3537273Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3537553Z FAILED [0.1272s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3537556Z 2025-12-04T09:09:06.3537624Z Expected 196608 but got 0. 2025-12-04T09:09:06.3537693Z Absolute difference: 196608 2025-12-04T09:09:06.3537759Z Relative difference: 1.0 2025-12-04T09:09:06.3537763Z 2025-12-04T09:09:06.3537887Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3538083Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3538087Z 2025-12-04T09:09:06.3538244Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3538523Z FAILED [0.1265s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3538527Z 2025-12-04T09:09:06.3538592Z Expected 196608 but got 0. 2025-12-04T09:09:06.3538659Z Absolute difference: 196608 2025-12-04T09:09:06.3538728Z Relative difference: 1.0 2025-12-04T09:09:06.3538730Z 2025-12-04T09:09:06.3538853Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3538971Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3539058Z 2025-12-04T09:09:06.3539210Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3539578Z FAILED [0.1264s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3539582Z 2025-12-04T09:09:06.3539651Z Expected 196608 but got 0. 2025-12-04T09:09:06.3539717Z Absolute difference: 196608 2025-12-04T09:09:06.3539784Z Relative difference: 1.0 2025-12-04T09:09:06.3539787Z 2025-12-04T09:09:06.3539914Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3540027Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3540031Z 2025-12-04T09:09:06.3540180Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3540452Z FAILED [0.1258s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3540460Z 2025-12-04T09:09:06.3540525Z Expected 196608 but got 0. 2025-12-04T09:09:06.3540593Z Absolute difference: 196608 2025-12-04T09:09:06.3540659Z Relative difference: 1.0 2025-12-04T09:09:06.3540662Z 2025-12-04T09:09:06.3540784Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3540900Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3540903Z 2025-12-04T09:09:06.3541053Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3541332Z FAILED [0.1258s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3541336Z 2025-12-04T09:09:06.3541401Z Expected 196608 but got 0. 2025-12-04T09:09:06.3541467Z Absolute difference: 196608 2025-12-04T09:09:06.3541544Z Relative difference: 1.0 2025-12-04T09:09:06.3541548Z 2025-12-04T09:09:06.3541671Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3541792Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3541795Z 2025-12-04T09:09:06.3541945Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3542227Z FAILED [0.1279s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3542230Z 2025-12-04T09:09:06.3542299Z Expected 196608 but got 0. 2025-12-04T09:09:06.3542364Z Absolute difference: 196608 2025-12-04T09:09:06.3542430Z Relative difference: 1.0 2025-12-04T09:09:06.3542433Z 2025-12-04T09:09:06.3542556Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3542668Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3542671Z 2025-12-04T09:09:06.3542825Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3543109Z FAILED [0.1279s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3543116Z 2025-12-04T09:09:06.3543188Z Expected 196608 but got 0. 2025-12-04T09:09:06.3543256Z Absolute difference: 196608 2025-12-04T09:09:06.3543321Z Relative difference: 1.0 2025-12-04T09:09:06.3543329Z 2025-12-04T09:09:06.3543456Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3543573Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3543576Z 2025-12-04T09:09:06.3543732Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3544009Z FAILED [0.1273s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3544013Z 2025-12-04T09:09:06.3544078Z Expected 196608 but got 0. 2025-12-04T09:09:06.3544147Z Absolute difference: 196608 2025-12-04T09:09:06.3544211Z Relative difference: 1.0 2025-12-04T09:09:06.3544214Z 2025-12-04T09:09:06.3544334Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3544541Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3544545Z 2025-12-04T09:09:06.3544695Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3545039Z FAILED [0.1282s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3545043Z 2025-12-04T09:09:06.3545109Z Expected 196608 but got 0. 2025-12-04T09:09:06.3545176Z Absolute difference: 196608 2025-12-04T09:09:06.3545242Z Relative difference: 1.0 2025-12-04T09:09:06.3545246Z 2025-12-04T09:09:06.3545365Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3545478Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3545481Z 2025-12-04T09:09:06.3545633Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3545916Z FAILED [0.1274s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3545924Z 2025-12-04T09:09:06.3545992Z Expected 196608 but got 0. 2025-12-04T09:09:06.3546059Z Absolute difference: 196608 2025-12-04T09:09:06.3546127Z Relative difference: 1.0 2025-12-04T09:09:06.3546131Z 2025-12-04T09:09:06.3546260Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3546379Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3546383Z 2025-12-04T09:09:06.3546541Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3546823Z FAILED [0.1283s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3546826Z 2025-12-04T09:09:06.3546891Z Expected 196608 but got 0. 2025-12-04T09:09:06.3546960Z Absolute difference: 196608 2025-12-04T09:09:06.3547024Z Relative difference: 1.0 2025-12-04T09:09:06.3547028Z 2025-12-04T09:09:06.3547155Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3547272Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3547275Z 2025-12-04T09:09:06.3547429Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3547709Z FAILED [0.1269s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3547713Z 2025-12-04T09:09:06.3547781Z Expected 196608 but got 0. 2025-12-04T09:09:06.3547848Z Absolute difference: 196608 2025-12-04T09:09:06.3547918Z Relative difference: 1.0 2025-12-04T09:09:06.3547922Z 2025-12-04T09:09:06.3548043Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3548158Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3548161Z 2025-12-04T09:09:06.3548309Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3548589Z FAILED [0.1268s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3548593Z 2025-12-04T09:09:06.3548659Z Expected 196608 but got 0. 2025-12-04T09:09:06.3548728Z Absolute difference: 196608 2025-12-04T09:09:06.3548794Z Relative difference: 1.0 2025-12-04T09:09:06.3548798Z 2025-12-04T09:09:06.3548918Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3549030Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3549033Z 2025-12-04T09:09:06.3549182Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3549456Z FAILED [0.1305s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3549460Z 2025-12-04T09:09:06.3549525Z Expected 196608 but got 0. 2025-12-04T09:09:06.3549590Z Absolute difference: 196608 2025-12-04T09:09:06.3549654Z Relative difference: 1.0 2025-12-04T09:09:06.3549732Z 2025-12-04T09:09:06.3549856Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3549967Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3549970Z 2025-12-04T09:09:06.3550183Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3550461Z FAILED [0.1278s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3550464Z 2025-12-04T09:09:06.3550527Z Expected 196608 but got 0. 2025-12-04T09:09:06.3550594Z Absolute difference: 196608 2025-12-04T09:09:06.3550658Z Relative difference: 1.0 2025-12-04T09:09:06.3550662Z 2025-12-04T09:09:06.3550780Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3550895Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3550898Z 2025-12-04T09:09:06.3551045Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3551324Z FAILED [0.1261s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3551327Z 2025-12-04T09:09:06.3551400Z Expected 196608 but got 0. 2025-12-04T09:09:06.3551468Z Absolute difference: 196608 2025-12-04T09:09:06.3551533Z Relative difference: 1.0 2025-12-04T09:09:06.3551538Z 2025-12-04T09:09:06.3551668Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3551785Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3551788Z 2025-12-04T09:09:06.3551941Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3552216Z FAILED [0.1261s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3552219Z 2025-12-04T09:09:06.3552283Z Expected 196608 but got 0. 2025-12-04T09:09:06.3552350Z Absolute difference: 196608 2025-12-04T09:09:06.3552419Z Relative difference: 1.0 2025-12-04T09:09:06.3552422Z 2025-12-04T09:09:06.3552545Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3552661Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3552664Z 2025-12-04T09:09:06.3552812Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3553088Z FAILED [0.1273s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3553092Z 2025-12-04T09:09:06.3553155Z Expected 196608 but got 0. 2025-12-04T09:09:06.3553224Z Absolute difference: 196608 2025-12-04T09:09:06.3553288Z Relative difference: 1.0 2025-12-04T09:09:06.3553291Z 2025-12-04T09:09:06.3553412Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3553525Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3553528Z 2025-12-04T09:09:06.3553680Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3553953Z FAILED [0.1279s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3553959Z 2025-12-04T09:09:06.3554028Z Expected 196608 but got 0. 2025-12-04T09:09:06.3554094Z Absolute difference: 196608 2025-12-04T09:09:06.3554160Z Relative difference: 1.0 2025-12-04T09:09:06.3554163Z 2025-12-04T09:09:06.3554283Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3554395Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3554398Z 2025-12-04T09:09:06.3554549Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3554821Z FAILED [0.1274s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3554824Z 2025-12-04T09:09:06.3554889Z Expected 196608 but got 0. 2025-12-04T09:09:06.3555041Z Absolute difference: 196608 2025-12-04T09:09:06.3555105Z Relative difference: 1.0 2025-12-04T09:09:06.3555109Z 2025-12-04T09:09:06.3555232Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3555408Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3555411Z 2025-12-04T09:09:06.3555564Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3555837Z FAILED [0.1268s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3555840Z 2025-12-04T09:09:06.3555903Z Expected 196608 but got 0. 2025-12-04T09:09:06.3555971Z Absolute difference: 196608 2025-12-04T09:09:06.3556034Z Relative difference: 1.0 2025-12-04T09:09:06.3556037Z 2025-12-04T09:09:06.3556156Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3556270Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3556278Z 2025-12-04T09:09:06.3556425Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3556704Z FAILED [0.1296s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3556707Z 2025-12-04T09:09:06.3556771Z Expected 196608 but got 0. 2025-12-04T09:09:06.3556836Z Absolute difference: 196608 2025-12-04T09:09:06.3556904Z Relative difference: 1.0 2025-12-04T09:09:06.3556908Z 2025-12-04T09:09:06.3557026Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3557139Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3557142Z 2025-12-04T09:09:06.3557292Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3557566Z FAILED [0.1278s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3557569Z 2025-12-04T09:09:06.3557638Z Expected 196608 but got 0. 2025-12-04T09:09:06.3557704Z Absolute difference: 196608 2025-12-04T09:09:06.3557769Z Relative difference: 1.0 2025-12-04T09:09:06.3557774Z 2025-12-04T09:09:06.3557897Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3558009Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3558013Z 2025-12-04T09:09:06.3558164Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3558436Z FAILED [0.1270s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3558440Z 2025-12-04T09:09:06.3558503Z Expected 196608 but got 0. 2025-12-04T09:09:06.3558571Z Absolute difference: 196608 2025-12-04T09:09:06.3558647Z Relative difference: 1.0 2025-12-04T09:09:06.3558650Z 2025-12-04T09:09:06.3558776Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3558888Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3558895Z 2025-12-04T09:09:06.3559042Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3559323Z FAILED [0.1272s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3559326Z 2025-12-04T09:09:06.3559389Z Expected 196608 but got 0. 2025-12-04T09:09:06.3559459Z Absolute difference: 196608 2025-12-04T09:09:06.3559524Z Relative difference: 1.0 2025-12-04T09:09:06.3559527Z 2025-12-04T09:09:06.3559646Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3559762Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3559765Z 2025-12-04T09:09:06.3559913Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3560186Z FAILED [0.1265s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3560269Z 2025-12-04T09:09:06.3560343Z Expected 196608 but got 0. 2025-12-04T09:09:06.3560412Z Absolute difference: 196608 2025-12-04T09:09:06.3560480Z Relative difference: 1.0 2025-12-04T09:09:06.3560483Z 2025-12-04T09:09:06.3560688Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3560803Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3560806Z 2025-12-04T09:09:06.3560959Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3561234Z FAILED [0.1261s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3561238Z 2025-12-04T09:09:06.3561303Z Expected 196608 but got 0. 2025-12-04T09:09:06.3561369Z Absolute difference: 196608 2025-12-04T09:09:06.3561435Z Relative difference: 1.0 2025-12-04T09:09:06.3561439Z 2025-12-04T09:09:06.3561559Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3561675Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3561679Z 2025-12-04T09:09:06.3561830Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3562109Z FAILED [0.1264s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3562113Z 2025-12-04T09:09:06.3562176Z Expected 196608 but got 0. 2025-12-04T09:09:06.3562245Z Absolute difference: 196608 2025-12-04T09:09:06.3562311Z Relative difference: 1.0 2025-12-04T09:09:06.3562314Z 2025-12-04T09:09:06.3562434Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3562549Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3562553Z 2025-12-04T09:09:06.3562701Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3562976Z FAILED [0.1281s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3562982Z 2025-12-04T09:09:06.3563047Z Expected 196608 but got 0. 2025-12-04T09:09:06.3563114Z Absolute difference: 196608 2025-12-04T09:09:06.3563182Z Relative difference: 1.0 2025-12-04T09:09:06.3563189Z 2025-12-04T09:09:06.3563309Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3563435Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3563438Z 2025-12-04T09:09:06.3563588Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3563861Z FAILED [0.1297s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3563865Z 2025-12-04T09:09:06.3563931Z Expected 196608 but got 0. 2025-12-04T09:09:06.3563997Z Absolute difference: 196608 2025-12-04T09:09:06.3564063Z Relative difference: 1.0 2025-12-04T09:09:06.3564068Z 2025-12-04T09:09:06.3564187Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3564303Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3564306Z 2025-12-04T09:09:06.3564457Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3564734Z FAILED [0.1278s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3564737Z 2025-12-04T09:09:06.3564800Z Expected 196608 but got 0. 2025-12-04T09:09:06.3564870Z Absolute difference: 196608 2025-12-04T09:09:06.3564937Z Relative difference: 1.0 2025-12-04T09:09:06.3564940Z 2025-12-04T09:09:06.3565063Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3565175Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3565179Z 2025-12-04T09:09:06.3565330Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3565605Z FAILED [0.1266s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3565692Z 2025-12-04T09:09:06.3565760Z Expected 196608 but got 0. 2025-12-04T09:09:06.3565831Z Absolute difference: 196608 2025-12-04T09:09:06.3565972Z Relative difference: 1.0 2025-12-04T09:09:06.3565976Z 2025-12-04T09:09:06.3566098Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3566212Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3566215Z 2025-12-04T09:09:06.3566364Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3566638Z FAILED [0.1263s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3566647Z 2025-12-04T09:09:06.3566710Z Expected 196608 but got 0. 2025-12-04T09:09:06.3566775Z Absolute difference: 196608 2025-12-04T09:09:06.3566843Z Relative difference: 1.0 2025-12-04T09:09:06.3566846Z 2025-12-04T09:09:06.3566969Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3567081Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3567084Z 2025-12-04T09:09:06.3567247Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3567522Z FAILED [0.1272s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3567526Z 2025-12-04T09:09:06.3567590Z Expected 196608 but got 0. 2025-12-04T09:09:06.3567655Z Absolute difference: 196608 2025-12-04T09:09:06.3567719Z Relative difference: 1.0 2025-12-04T09:09:06.3567722Z 2025-12-04T09:09:06.3567844Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3567954Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3567957Z 2025-12-04T09:09:06.3568106Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3568383Z FAILED [0.1272s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3568387Z 2025-12-04T09:09:06.3568450Z Expected 196608 but got 0. 2025-12-04T09:09:06.3568521Z Absolute difference: 196608 2025-12-04T09:09:06.3568585Z Relative difference: 1.0 2025-12-04T09:09:06.3568589Z 2025-12-04T09:09:06.3568707Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3568823Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3568826Z 2025-12-04T09:09:06.3568973Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3569247Z FAILED [0.1272s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3569250Z 2025-12-04T09:09:06.3569314Z Expected 196608 but got 0. 2025-12-04T09:09:06.3569380Z Absolute difference: 196608 2025-12-04T09:09:06.3569447Z Relative difference: 1.0 2025-12-04T09:09:06.3569454Z 2025-12-04T09:09:06.3569573Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3569687Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3569690Z 2025-12-04T09:09:06.3569841Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3570114Z FAILED [0.1293s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3570118Z 2025-12-04T09:09:06.3570184Z Expected 196608 but got 0. 2025-12-04T09:09:06.3570251Z Absolute difference: 196608 2025-12-04T09:09:06.3570315Z Relative difference: 1.0 2025-12-04T09:09:06.3570320Z 2025-12-04T09:09:06.3570440Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3570551Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3570554Z 2025-12-04T09:09:06.3570702Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3571054Z FAILED [0.1290s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3571057Z 2025-12-04T09:09:06.3571120Z Expected 196608 but got 0. 2025-12-04T09:09:06.3571276Z Absolute difference: 196608 2025-12-04T09:09:06.3571345Z Relative difference: 1.0 2025-12-04T09:09:06.3571348Z 2025-12-04T09:09:06.3571471Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3571583Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3571586Z 2025-12-04T09:09:06.3571734Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3572012Z FAILED [0.1272s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3572015Z 2025-12-04T09:09:06.3572079Z Expected 196608 but got 0. 2025-12-04T09:09:06.3572147Z Absolute difference: 196608 2025-12-04T09:09:06.3572218Z Relative difference: 1.0 2025-12-04T09:09:06.3572221Z 2025-12-04T09:09:06.3572341Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3572459Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3572466Z 2025-12-04T09:09:06.3572614Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3572886Z FAILED [0.1277s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3572894Z 2025-12-04T09:09:06.3572960Z Expected 196608 but got 0. 2025-12-04T09:09:06.3573026Z Absolute difference: 196608 2025-12-04T09:09:06.3573094Z Relative difference: 1.0 2025-12-04T09:09:06.3573096Z 2025-12-04T09:09:06.3573217Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3573339Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3573342Z 2025-12-04T09:09:06.3573501Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3573780Z FAILED [0.1279s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3573783Z 2025-12-04T09:09:06.3573854Z Expected 196608 but got 0. 2025-12-04T09:09:06.3573922Z Absolute difference: 196608 2025-12-04T09:09:06.3573987Z Relative difference: 1.0 2025-12-04T09:09:06.3573990Z 2025-12-04T09:09:06.3574112Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3574224Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3574227Z 2025-12-04T09:09:06.3574375Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3574650Z FAILED [0.1270s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3574653Z 2025-12-04T09:09:06.3574716Z Expected 196608 but got 0. 2025-12-04T09:09:06.3574789Z Absolute difference: 196608 2025-12-04T09:09:06.3574854Z Relative difference: 1.0 2025-12-04T09:09:06.3574857Z 2025-12-04T09:09:06.3574980Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3575099Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3575103Z 2025-12-04T09:09:06.3575251Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3575528Z FAILED [0.1265s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3575531Z 2025-12-04T09:09:06.3575594Z Expected 196608 but got 0. 2025-12-04T09:09:06.3575660Z Absolute difference: 196608 2025-12-04T09:09:06.3575729Z Relative difference: 1.0 2025-12-04T09:09:06.3575732Z 2025-12-04T09:09:06.3575852Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3575966Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3576050Z 2025-12-04T09:09:06.3576201Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3576541Z FAILED [0.1266s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3576545Z 2025-12-04T09:09:06.3576614Z Expected 196608 but got 0. 2025-12-04T09:09:06.3576680Z Absolute difference: 196608 2025-12-04T09:09:06.3576746Z Relative difference: 1.0 2025-12-04T09:09:06.3576749Z 2025-12-04T09:09:06.3576870Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3576981Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3576984Z 2025-12-04T09:09:06.3577133Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3577405Z FAILED [0.1268s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3577409Z 2025-12-04T09:09:06.3577478Z Expected 196608 but got 0. 2025-12-04T09:09:06.3577545Z Absolute difference: 196608 2025-12-04T09:09:06.3577611Z Relative difference: 1.0 2025-12-04T09:09:06.3577614Z 2025-12-04T09:09:06.3577737Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3577851Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3577855Z 2025-12-04T09:09:06.3578057Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3578337Z FAILED [0.1276s] test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats - AssertionError: Scalars are not equal! 2025-12-04T09:09:06.3578341Z 2025-12-04T09:09:06.3578404Z Expected 196608 but got 0. 2025-12-04T09:09:06.3578474Z Absolute difference: 196608 2025-12-04T09:09:06.3578539Z Relative difference: 1.0 2025-12-04T09:09:06.3578542Z 2025-12-04T09:09:06.3578660Z To execute this test, run the following from the base repo dir: 2025-12-04T09:09:06.3578775Z python test/test_cuda.py TestCuda.test_host_memory_stats 2025-12-04T09:09:06.3578783Z 2025-12-04T09:09:06.3578929Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:09:06.3579075Z ========== 49 failed, 1 passed, 50 skipped, 7600 deselected in 6.80s =========== 2025-12-04T09:09:06.3579084Z 2025-12-04T09:09:06.3579435Z FINISHED PRINTING LOG FILE of test_cuda_expandable_segments 1/1 (test/test-reports/test_cuda_expandable_segments_1.1_6ccca15846419f26_.log) 2025-12-04T09:09:06.3579439Z 2025-12-04T09:09:06.3579648Z Finished test_cuda_expandable_segments 1/1 ... [2025-12-04 09:09:06.280603][992.699397264], took 0.19min 2025-12-04T09:09:06.3580134Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_expandable_segments/test_cuda_expandable_segments-2a19a17c6624ed5b.xml 2025-12-04T09:09:06.5000331Z Uploading logs for 57116084932 to S3 2025-12-04T09:09:06.5303627Z Uploading artifacts took 0.16 seconds 2025-12-04T09:09:06.5303961Z test_cuda_expandable_segments 1/1 failed! 2025-12-04T09:09:06.5308122Z Running test_public_bindings 1/1 ... [2025-12-04 09:09:06.530609][992.949407007] 2025-12-04T09:09:06.5308525Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:06.5312513Z 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 09:09:06.530958] 2025-12-04T09:09:09.2911841Z 2025-12-04T09:09:09.2913005Z test_public_bindings 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_public_bindings_1.1_528d3c9a75f07c14_.log 2025-12-04T09:09:09.2913714Z Running 0 items in this shard: 2025-12-04T09:09:09.2913884Z 2025-12-04T09:09:09.2914155Z Finished test_public_bindings 1/1 ... [2025-12-04 09:09:09.290931][995.709728515], took 0.05min 2025-12-04T09:09:09.2934139Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_public_bindings/test_public_bindings-c376275cdf8de05b.xml 2025-12-04T09:09:09.3230103Z Running test_ops 1/9 ... [2025-12-04 09:09:09.322797][995.741597223] 2025-12-04T09:09:09.3230707Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:09:09.3233962Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=9', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:09:09.323136] 2025-12-04T09:10:02.0084037Z 2025-12-04T09:10:02.0085064Z test_ops 1/9 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_1.9_b9d51ae68b9ac8e1_.log 2025-12-04T09:10:02.0086075Z Running 0 items in this shard: 2025-12-04T09:10:02.0086349Z 2025-12-04T09:10:02.0086679Z Finished test_ops 1/9 ... [2025-12-04 09:10:02.008161][1048.426960825], took 0.88min 2025-12-04T09:10:02.0107691Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-0eb64f4ba7ba892f.xml 2025-12-04T09:10:02.0849485Z Running test_ops 7/9 ... [2025-12-04 09:10:02.084723][1048.503524416] 2025-12-04T09:10:02.0849898Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:02.0854781Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=7', '--num-shards=9', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:02.085005] 2025-12-04T09:10:54.6424785Z 2025-12-04T09:10:54.6425512Z test_ops 7/9 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_7.9_05cd878a32e944b3_.log 2025-12-04T09:10:54.6426132Z Running 0 items in this shard: 2025-12-04T09:10:54.6426314Z 2025-12-04T09:10:54.6426535Z Finished test_ops 7/9 ... [2025-12-04 09:10:54.642208][1101.061007325], took 0.88min 2025-12-04T09:10:54.6448260Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-df9c36444066182d.xml 2025-12-04T09:10:54.7186536Z Running test_ops 9/9 ... [2025-12-04 09:10:54.718404][1101.137205891] 2025-12-04T09:10:54.7186942Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:10:54.7189928Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=9', '--num-shards=9', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:10:54.718696] 2025-12-04T09:11:47.4105301Z 2025-12-04T09:11:47.4106062Z test_ops 9/9 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_9.9_b13eb26053f8c1ff_.log 2025-12-04T09:11:47.4106678Z Running 0 items in this shard: 2025-12-04T09:11:47.4106888Z 2025-12-04T09:11:47.4107094Z Finished test_ops 9/9 ... [2025-12-04 09:11:47.410260][1153.829058719], took 0.88min 2025-12-04T09:11:47.4130143Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-aa40af113d30b666.xml 2025-12-04T09:11:47.4858612Z Running inductor/test_torchinductor_dynamic_shapes 4/4 ... [2025-12-04 09:11:47.485592][1153.904393542] 2025-12-04T09:11:47.4859150Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:47.4862133Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '-m', 'serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:11:47.485903] 2025-12-04T09:11:55.9322393Z 2025-12-04T09:11:55.9323465Z inductor/test_torchinductor_dynamic_shapes 4/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_4.4_3e0f55cc1a49f2b5_.log 2025-12-04T09:11:55.9324789Z Running 0 items in this shard: 2025-12-04T09:11:55.9324966Z 2025-12-04T09:11:55.9325510Z Finished inductor/test_torchinductor_dynamic_shapes 4/4 ... [2025-12-04 09:11:55.932003][1162.350803047], took 0.14min 2025-12-04T09:11:55.9350555Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-2d0bf81ced45a27a.xml 2025-12-04T09:11:56.0195997Z Running inductor/test_torchinductor_codegen_dynamic_shapes 4/4 ... [2025-12-04 09:11:56.019319][1162.438120975] 2025-12-04T09:11:56.0196716Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:11:56.0198548Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_codegen_dynamic_shapes.py', '-m', 'serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:11:56.019591] 2025-12-04T09:12:04.4817368Z 2025-12-04T09:12:04.4818560Z inductor/test_torchinductor_codegen_dynamic_shapes 4/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_dynamic_shapes_4.4_79445dd247c4a388_.log 2025-12-04T09:12:04.4819507Z Running 0 items in this shard: 2025-12-04T09:12:04.4819680Z 2025-12-04T09:12:04.4820050Z Finished inductor/test_torchinductor_codegen_dynamic_shapes 4/4 ... [2025-12-04 09:12:04.481463][1170.900262628], took 0.14min 2025-12-04T09:12:04.4846123Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-1803581d621849ee.xml 2025-12-04T09:12:04.5577663Z Running inductor/test_torchinductor_opinfo 2/13 ... [2025-12-04 09:12:04.557516][1170.976317852] 2025-12-04T09:12:04.5578267Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:04.5580804Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=2', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:12:04.557789] 2025-12-04T09:12:16.5053386Z 2025-12-04T09:12:16.5054408Z inductor/test_torchinductor_opinfo 2/13 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_2.13_4d5c51b341494dac_.log 2025-12-04T09:12:16.5055235Z Running 0 items in this shard: 2025-12-04T09:12:16.5055410Z 2025-12-04T09:12:16.5055723Z Finished inductor/test_torchinductor_opinfo 2/13 ... [2025-12-04 09:12:16.505086][1182.92388635], took 0.20min 2025-12-04T09:12:16.5084087Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-c63cb4e123401de5.xml 2025-12-04T09:12:16.5738828Z Running inductor/test_torchinductor_opinfo 9/13 ... [2025-12-04 09:12:16.573644][1182.992445001] 2025-12-04T09:12:16.5739415Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:16.5742207Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=9', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:12:16.573930] 2025-12-04T09:12:28.5260759Z 2025-12-04T09:12:28.5261850Z inductor/test_torchinductor_opinfo 9/13 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_9.13_659691857f6479e2_.log 2025-12-04T09:12:28.5262839Z Running 0 items in this shard: 2025-12-04T09:12:28.5263071Z 2025-12-04T09:12:28.5263924Z Finished inductor/test_torchinductor_opinfo 9/13 ... [2025-12-04 09:12:28.525837][1194.944635298], took 0.20min 2025-12-04T09:12:28.5293489Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-f22b55f89b13be42.xml 2025-12-04T09:12:28.6034490Z Running inductor/test_torchinductor_opinfo 12/13 ... [2025-12-04 09:12:28.603216][1195.022016464] 2025-12-04T09:12:28.6034988Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:28.6037979Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=12', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:12:28.603520] 2025-12-04T09:12:40.5516918Z 2025-12-04T09:12:40.5517875Z inductor/test_torchinductor_opinfo 12/13 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_12.13_c1fcd7755a61fd01_.log 2025-12-04T09:12:40.5518765Z Running 0 items in this shard: 2025-12-04T09:12:40.5518940Z 2025-12-04T09:12:40.5519266Z Finished inductor/test_torchinductor_opinfo 12/13 ... [2025-12-04 09:12:40.551426][1206.970224453], took 0.20min 2025-12-04T09:12:40.5550227Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-23a87a82c575a799.xml 2025-12-04T09:12:40.6368810Z Running inductor/test_pattern_matcher 1/1 ... [2025-12-04 09:12:40.636633][1207.055433171] 2025-12-04T09:12:40.6369284Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:40.6372300Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_pattern_matcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:12:40.636938] 2025-12-04T09:12:46.0207268Z 2025-12-04T09:12:46.0208212Z inductor/test_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pattern_matcher_1.1_20213d820b40bc63_.log 2025-12-04T09:12:46.0209008Z Running 0 items in this shard: 2025-12-04T09:12:46.0209189Z 2025-12-04T09:12:46.0209476Z Finished inductor/test_pattern_matcher 1/1 ... [2025-12-04 09:12:46.020526][1212.439325376], took 0.09min 2025-12-04T09:12:46.0240940Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_pattern_matcher/inductor.test_pattern_matcher-1924f1d409a6cf94.xml 2025-12-04T09:12:46.0531637Z Running inductor/test_group_batch_fusion 1/1 ... [2025-12-04 09:12:46.052925][1212.471726093] 2025-12-04T09:12:46.0532127Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:46.0535131Z 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 09:12:46.053219] 2025-12-04T09:12:51.4823626Z 2025-12-04T09:12:51.4824571Z 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_44f19337910fd802_.log 2025-12-04T09:12:51.4825379Z Running 0 items in this shard: 2025-12-04T09:12:51.4825556Z 2025-12-04T09:12:51.4825854Z Finished inductor/test_group_batch_fusion 1/1 ... [2025-12-04 09:12:51.482136][1217.90093648], took 0.09min 2025-12-04T09:12:51.4858265Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_group_batch_fusion/inductor.test_group_batch_fusion-0160fa93e85d021e.xml 2025-12-04T09:12:51.5144988Z Running inductor/test_cpu_repro 1/3 ... [2025-12-04 09:12:51.514269][1217.933070595] 2025-12-04T09:12:51.5145799Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:51.5148671Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_repro.py', '-m', 'serial', '--shard-id=1', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:12:51.514564] 2025-12-04T09:12:58.4273660Z 2025-12-04T09:12:58.4274590Z inductor/test_cpu_repro 1/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_1.3_00047adf83585fea_.log 2025-12-04T09:12:58.4275339Z Running 0 items in this shard: 2025-12-04T09:12:58.4275518Z 2025-12-04T09:12:58.4275794Z Finished inductor/test_cpu_repro 1/3 ... [2025-12-04 09:12:58.427107][1224.845907294], took 0.12min 2025-12-04T09:12:58.4309178Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_repro/inductor.test_cpu_repro-6ccd2cedd1287be9.xml 2025-12-04T09:12:58.5039822Z Running inductor/test_smoke 1/1 ... [2025-12-04 09:12:58.503742][1224.922543417] 2025-12-04T09:12:58.5040286Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:12:58.5043011Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_smoke.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:12:58.504034] 2025-12-04T09:13:03.7256626Z 2025-12-04T09:13:03.7257500Z inductor/test_smoke 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_smoke_1.1_78bb1986b365ee0d_.log 2025-12-04T09:13:03.7258231Z 2025-12-04T09:13:03.7258498Z Finished inductor/test_smoke 1/1 ... [2025-12-04 09:13:03.725410][1230.14420952], took 0.09min 2025-12-04T09:13:03.7294455Z Running inductor/test_mkldnn_pattern_matcher 2/2 ... [2025-12-04 09:13:03.729250][1230.148052842] 2025-12-04T09:13:03.7295085Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:03.7298305Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.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 09:13:03.729562] 2025-12-04T09:13:09.5432455Z 2025-12-04T09:13:09.5433413Z inductor/test_mkldnn_pattern_matcher 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_2.2_3b87171f7d1e1f0b_.log 2025-12-04T09:13:09.5434249Z Running 0 items in this shard: 2025-12-04T09:13:09.5434424Z 2025-12-04T09:13:09.5434748Z Finished inductor/test_mkldnn_pattern_matcher 2/2 ... [2025-12-04 09:13:09.543025][1235.961824912], took 0.10min 2025-12-04T09:13:09.5469186Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-8770513f22187eab.xml 2025-12-04T09:13:09.6246612Z Running dynamo/test_logging 1/1 ... [2025-12-04 09:13:09.624431][1236.043231567] 2025-12-04T09:13:09.6247059Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:09.6250011Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_logging.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:09.624732] 2025-12-04T09:13:15.0507353Z 2025-12-04T09:13:15.0508071Z dynamo/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_logging_1.1_9eb81641732eeb90_.log 2025-12-04T09:13:15.0508654Z Running 0 items in this shard: 2025-12-04T09:13:15.0509158Z 2025-12-04T09:13:15.0509363Z Finished dynamo/test_logging 1/1 ... [2025-12-04 09:13:15.050495][1241.469295611], took 0.09min 2025-12-04T09:13:15.0547006Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_logging/dynamo.test_logging-34bfdb79ed1c3df8.xml 2025-12-04T09:13:15.0830601Z Running inductor/test_inductor_freezing 1/1 ... [2025-12-04 09:13:15.082828][1241.501629375] 2025-12-04T09:13:15.0831077Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:15.0833544Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inductor_freezing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:15.083102] 2025-12-04T09:13:20.9328864Z 2025-12-04T09:13:20.9329782Z inductor/test_inductor_freezing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_freezing_1.1_b8aba8cc31357827_.log 2025-12-04T09:13:20.9330627Z Running 0 items in this shard: 2025-12-04T09:13:20.9330814Z 2025-12-04T09:13:20.9331133Z Finished inductor/test_inductor_freezing 1/1 ... [2025-12-04 09:13:20.932640][1247.351439965], took 0.10min 2025-12-04T09:13:20.9368474Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inductor_freezing/inductor.test_inductor_freezing-ec1c2435b7b1bfaa.xml 2025-12-04T09:13:20.9770417Z Running dynamo/test_unspec 1/1 ... [2025-12-04 09:13:20.976824][1247.395624707] 2025-12-04T09:13:20.9770863Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:20.9773656Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_unspec.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:20.977104] 2025-12-04T09:13:24.4313280Z 2025-12-04T09:13:24.4313978Z dynamo/test_unspec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unspec_1.1_939141ad86940a3e_.log 2025-12-04T09:13:24.4314569Z Running 0 items in this shard: 2025-12-04T09:13:24.4314710Z 2025-12-04T09:13:24.4314917Z Finished dynamo/test_unspec 1/1 ... [2025-12-04 09:13:24.431063][1250.849859594], took 0.06min 2025-12-04T09:13:24.4356411Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_unspec/dynamo.test_unspec-4d35de8862663317.xml 2025-12-04T09:13:24.5085752Z Running dynamo/test_higher_order_ops 1/1 ... [2025-12-04 09:13:24.508293][1250.92709232] 2025-12-04T09:13:24.5086248Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:24.5088633Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_higher_order_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:24.508585] 2025-12-04T09:13:30.9183905Z 2025-12-04T09:13:30.9184831Z dynamo/test_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_higher_order_ops_1.1_9179abf09ea6e63f_.log 2025-12-04T09:13:30.9185616Z Running 0 items in this shard: 2025-12-04T09:13:30.9185794Z 2025-12-04T09:13:30.9186100Z Finished dynamo/test_higher_order_ops 1/1 ... [2025-12-04 09:13:30.918157][1257.336956817], took 0.11min 2025-12-04T09:13:30.9228552Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_higher_order_ops/dynamo.test_higher_order_ops-d214ebb75d458765.xml 2025-12-04T09:13:30.9879498Z Running inductor/test_mmdecomp 1/1 ... [2025-12-04 09:13:30.987719][1257.406520702] 2025-12-04T09:13:30.9879965Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:30.9882787Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mmdecomp.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:30.987996] 2025-12-04T09:13:36.5250451Z 2025-12-04T09:13:36.5251217Z inductor/test_mmdecomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mmdecomp_1.1_680dd78a4630eae1_.log 2025-12-04T09:13:36.5251799Z Running 0 items in this shard: 2025-12-04T09:13:36.5251940Z 2025-12-04T09:13:36.5252152Z Finished inductor/test_mmdecomp 1/1 ... [2025-12-04 09:13:36.524817][1262.9436146], took 0.09min 2025-12-04T09:13:36.5296694Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mmdecomp/inductor.test_mmdecomp-56ebe53b1764b0ea.xml 2025-12-04T09:13:36.5533607Z Running dynamo/test_ctx_manager 1/1 ... [2025-12-04 09:13:36.553119][1262.971918726] 2025-12-04T09:13:36.5534084Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:36.5536821Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_ctx_manager.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:36.553409] 2025-12-04T09:13:42.0790744Z 2025-12-04T09:13:42.0791591Z dynamo/test_ctx_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_ctx_manager_1.1_8d7106fdcd979d06_.log 2025-12-04T09:13:42.0792336Z Running 0 items in this shard: 2025-12-04T09:13:42.0792511Z 2025-12-04T09:13:42.0792776Z Finished dynamo/test_ctx_manager 1/1 ... [2025-12-04 09:13:42.078831][1268.49763018], took 0.09min 2025-12-04T09:13:42.0836950Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_ctx_manager/dynamo.test_ctx_manager-0adc31f67c6ee978.xml 2025-12-04T09:13:42.1073655Z Running dynamo/test_exc 1/1 ... [2025-12-04 09:13:42.107137][1268.525938665] 2025-12-04T09:13:42.1074104Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:42.1076728Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_exc.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:42.107413] 2025-12-04T09:13:45.1605424Z 2025-12-04T09:13:45.1606261Z dynamo/test_exc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exc_1.1_898d1a978ba95dc5_.log 2025-12-04T09:13:45.1606926Z Running 0 items in this shard: 2025-12-04T09:13:45.1607110Z 2025-12-04T09:13:45.1607342Z Finished dynamo/test_exc 1/1 ... [2025-12-04 09:13:45.160348][1271.579144997], took 0.05min 2025-12-04T09:13:45.1655612Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_exc/dynamo.test_exc-7dea19eabe6cb241.xml 2025-12-04T09:13:45.1885983Z Running inductor/test_aot_inductor_arrayref 1/2 ... [2025-12-04 09:13:45.188351][1271.607151618] 2025-12-04T09:13:45.1886494Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:45.1889348Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor_arrayref.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 09:13:45.188661] 2025-12-04T09:13:51.5434727Z 2025-12-04T09:13:51.5435671Z inductor/test_aot_inductor_arrayref 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_arrayref_1.2_7eee6f77e1339ead_.log 2025-12-04T09:13:51.5436925Z Running 0 items in this shard: 2025-12-04T09:13:51.5437106Z 2025-12-04T09:13:51.5437428Z Finished inductor/test_aot_inductor_arrayref 1/2 ... [2025-12-04 09:13:51.543239][1277.962037563], took 0.11min 2025-12-04T09:13:51.5484503Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor_arrayref/inductor.test_aot_inductor_arrayref-6dbd4915a95981ea.xml 2025-12-04T09:13:51.6290783Z Running inductor/test_halide 1/1 ... [2025-12-04 09:13:51.628846][1278.047645422] 2025-12-04T09:13:51.6291230Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:51.6294295Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_halide.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:51.629156] 2025-12-04T09:13:57.3636209Z 2025-12-04T09:13:57.3637217Z inductor/test_halide 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_halide_1.1_d97e441dc7a28a19_.log 2025-12-04T09:13:57.3637725Z 2025-12-04T09:13:57.3637948Z Finished inductor/test_halide 1/1 ... [2025-12-04 09:13:57.363312][1283.782109399], took 0.10min 2025-12-04T09:13:57.3688928Z Running inductor/test_deterministic 2/3 ... [2025-12-04 09:13:57.368621][1283.78742146] 2025-12-04T09:13:57.3689447Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:13:57.3692267Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_deterministic.py', '-m', 'serial', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:13:57.368957] 2025-12-04T09:14:02.7564909Z 2025-12-04T09:14:02.7565778Z inductor/test_deterministic 2/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_deterministic_2.3_c5ba5b9a87ffcdc6_.log 2025-12-04T09:14:02.7566605Z Running 0 items in this shard: 2025-12-04T09:14:02.7566783Z 2025-12-04T09:14:02.7567094Z Finished inductor/test_deterministic 2/3 ... [2025-12-04 09:14:02.756266][1289.175066929], took 0.09min 2025-12-04T09:14:02.7618375Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_deterministic/inductor.test_deterministic-975dc85e74c8021f.xml 2025-12-04T09:14:02.8285657Z Running dynamo/test_inline_and_install 1/1 ... [2025-12-04 09:14:02.828309][1289.247109971] 2025-12-04T09:14:02.8286125Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:02.8288959Z 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 09:14:02.828609] 2025-12-04T09:14:06.5395981Z 2025-12-04T09:14:06.5397271Z 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_c201f13d3b10a844_.log 2025-12-04T09:14:06.5398622Z Running 0 items in this shard: 2025-12-04T09:14:06.5398912Z 2025-12-04T09:14:06.5399378Z Finished dynamo/test_inline_and_install 1/1 ... [2025-12-04 09:14:06.539332][1292.958131799], took 0.06min 2025-12-04T09:14:06.5449322Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_inline_and_install/dynamo.test_inline_and_install-a2f301e16f64df71.xml 2025-12-04T09:14:06.5741424Z Running export/test_functionalized_assertions 1/1 ... [2025-12-04 09:14:06.573900][1292.992700776] 2025-12-04T09:14:06.5741924Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:06.5744914Z 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 09:14:06.574196] 2025-12-04T09:14:09.3137935Z 2025-12-04T09:14:09.3139336Z 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_fae5c473a898bc86_.log 2025-12-04T09:14:09.3140197Z Running 0 items in this shard: 2025-12-04T09:14:09.3140374Z 2025-12-04T09:14:09.3140704Z Finished export/test_functionalized_assertions 1/1 ... [2025-12-04 09:14:09.313598][1295.732396182], took 0.05min 2025-12-04T09:14:09.3192457Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_functionalized_assertions/export.test_functionalized_assertions-4fcc199e27cb9837.xml 2025-12-04T09:14:09.3431007Z Running inductor/test_loop_ordering 1/1 ... [2025-12-04 09:14:09.342882][1295.761683639] 2025-12-04T09:14:09.3431519Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:09.3434458Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_loop_ordering.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:09.343190] 2025-12-04T09:14:14.7327409Z 2025-12-04T09:14:14.7328206Z inductor/test_loop_ordering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_loop_ordering_1.1_1ebcc9e51674c7d8_.log 2025-12-04T09:14:14.7328839Z Running 0 items in this shard: 2025-12-04T09:14:14.7328989Z 2025-12-04T09:14:14.7329218Z Finished inductor/test_loop_ordering 1/1 ... [2025-12-04 09:14:14.732497][1301.151296819], took 0.09min 2025-12-04T09:14:14.7381660Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_loop_ordering/inductor.test_loop_ordering-22655be8eb8015dd.xml 2025-12-04T09:14:14.7666060Z Running inductor/test_selective_lowering 1/1 ... [2025-12-04 09:14:14.766382][1301.185183148] 2025-12-04T09:14:14.7666695Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:14.7669893Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_selective_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 09:14:14.766714] 2025-12-04T09:14:20.0854294Z 2025-12-04T09:14:20.0855257Z inductor/test_selective_lowering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_selective_lowering_1.1_a9efec5ef74d872b_.log 2025-12-04T09:14:20.0856079Z Running 0 items in this shard: 2025-12-04T09:14:20.0856264Z 2025-12-04T09:14:20.0856562Z Finished inductor/test_selective_lowering 1/1 ... [2025-12-04 09:14:20.085132][1306.503931659], took 0.09min 2025-12-04T09:14:20.0911154Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_selective_lowering/inductor.test_selective_lowering-2717f5df8bc964eb.xml 2025-12-04T09:14:20.1227811Z Running dynamo/test_base_output 1/1 ... [2025-12-04 09:14:20.122533][1306.541334184] 2025-12-04T09:14:20.1228266Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:20.1230769Z 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 09:14:20.122802] 2025-12-04T09:14:23.1341416Z 2025-12-04T09:14:23.1342282Z 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_dc2915ede472c1f6_.log 2025-12-04T09:14:23.1343386Z Running 0 items in this shard: 2025-12-04T09:14:23.1343564Z 2025-12-04T09:14:23.1343842Z Finished dynamo/test_base_output 1/1 ... [2025-12-04 09:14:23.133912][1309.552711657], took 0.05min 2025-12-04T09:14:23.1398385Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_base_output/dynamo.test_base_output-113843c60ecb9d4f.xml 2025-12-04T09:14:23.1650175Z Running inductor/test_lookup_table 1/1 ... [2025-12-04 09:14:23.164808][1309.583609485] 2025-12-04T09:14:23.1650624Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:23.1653345Z 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 09:14:23.165085] 2025-12-04T09:14:28.4066590Z 2025-12-04T09:14:28.4067522Z 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_f086c5fda4e52995_.log 2025-12-04T09:14:28.4068174Z 2025-12-04T09:14:28.4068488Z Finished inductor/test_lookup_table 1/1 ... [2025-12-04 09:14:28.406410][1314.825208985], took 0.09min 2025-12-04T09:14:28.4126369Z Running export/test_serialize 1/1 ... [2025-12-04 09:14:28.412426][1314.83122869] 2025-12-04T09:14:28.4126830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:28.4130055Z 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 09:14:28.412735] 2025-12-04T09:14:33.9191843Z 2025-12-04T09:14:33.9192727Z export/test_serialize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serialize_1.1_ae22bdecc3640507_.log 2025-12-04T09:14:33.9193491Z Running 0 items in this shard: 2025-12-04T09:14:33.9193668Z 2025-12-04T09:14:33.9193935Z Finished export/test_serialize 1/1 ... [2025-12-04 09:14:33.918964][1320.337762481], took 0.09min 2025-12-04T09:14:33.9252423Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_serialize/export.test_serialize-f8a45ddcfc4d60b6.xml 2025-12-04T09:14:33.9986477Z Running inductor/test_cutedsl_template 1/1 ... [2025-12-04 09:14:33.998391][1320.417192516] 2025-12-04T09:14:33.9986951Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:33.9989887Z 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 09:14:33.998691] 2025-12-04T09:14:39.3453405Z 2025-12-04T09:14:39.3454334Z 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_36c916973a5356ae_.log 2025-12-04T09:14:39.3455164Z Running 0 items in this shard: 2025-12-04T09:14:39.3455339Z 2025-12-04T09:14:39.3455639Z Finished inductor/test_cutedsl_template 1/1 ... [2025-12-04 09:14:39.345114][1325.763913381], took 0.09min 2025-12-04T09:14:39.3513770Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cutedsl_template/inductor.test_cutedsl_template-111a493b98d3d4c0.xml 2025-12-04T09:14:39.3848555Z Running inductor/test_inductor_scheduler 1/1 ... [2025-12-04 09:14:39.384646][1325.803447105] 2025-12-04T09:14:39.3849052Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:39.3852485Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inductor_scheduler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:14:39.384949] 2025-12-04T09:14:44.8677459Z 2025-12-04T09:14:44.8678756Z inductor/test_inductor_scheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_scheduler_1.1_3e237f21a9de14e8_.log 2025-12-04T09:14:44.8679578Z Running 0 items in this shard: 2025-12-04T09:14:44.8679754Z 2025-12-04T09:14:44.8680075Z Finished inductor/test_inductor_scheduler 1/1 ... [2025-12-04 09:14:44.867511][1331.28631125], took 0.09min 2025-12-04T09:14:44.8739966Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inductor_scheduler/inductor.test_inductor_scheduler-f145b52dce384509.xml 2025-12-04T09:14:44.9049891Z Running inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 09:14:44.904731][1331.323532267] 2025-12-04T09:14:44.9050419Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:44.9053187Z 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 09:14:44.905017] 2025-12-04T09:14:50.2119555Z 2025-12-04T09:14:50.2120536Z 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_1c86efd650923c28_.log 2025-12-04T09:14:50.2121362Z Running 0 items in this shard: 2025-12-04T09:14:50.2121537Z 2025-12-04T09:14:50.2121857Z Finished inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 09:14:50.211729][1336.630528367], took 0.09min 2025-12-04T09:14:50.2183240Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_move_constructors_to_gpu/inductor.test_move_constructors_to_gpu-25899dcf9601f706.xml 2025-12-04T09:14:50.2653636Z Running export/test_export_strict 1/1 ... [2025-12-04 09:14:50.265125][1336.683926196] 2025-12-04T09:14:50.2654108Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:50.2656801Z 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 09:14:50.265408] 2025-12-04T09:14:56.2589510Z 2025-12-04T09:14:56.2590399Z 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_148a081293da96b5_.log 2025-12-04T09:14:56.2591148Z Running 0 items in this shard: 2025-12-04T09:14:56.2591292Z 2025-12-04T09:14:56.2591529Z Finished export/test_export_strict 1/1 ... [2025-12-04 09:14:56.258712][1342.677511294], took 0.10min 2025-12-04T09:14:56.2655205Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_export_strict/export.test_export_strict-d88ed7d9372e9ef8.xml 2025-12-04T09:14:56.2918115Z Running dynamo/test_modules 1/1 ... [2025-12-04 09:14:56.291563][1342.710364257] 2025-12-04T09:14:56.2918568Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:14:56.2921098Z 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 09:14:56.291830] 2025-12-04T09:15:01.9981983Z 2025-12-04T09:15:01.9982802Z dynamo/test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modules_1.1_22e00446870f84d2_.log 2025-12-04T09:15:01.9983916Z Running 0 items in this shard: 2025-12-04T09:15:01.9984108Z 2025-12-04T09:15:01.9984364Z Finished dynamo/test_modules 1/1 ... [2025-12-04 09:15:01.997950][1348.416749436], took 0.10min 2025-12-04T09:15:02.0049220Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_modules/dynamo.test_modules-b92dbd1694ea8e79.xml 2025-12-04T09:15:02.0329816Z Running export/test_serdes 1/1 ... [2025-12-04 09:15:02.032750][1348.451551947] 2025-12-04T09:15:02.0330241Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:02.0333121Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_serdes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:02.033027] 2025-12-04T09:15:08.6806181Z 2025-12-04T09:15:08.6807025Z export/test_serdes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serdes_1.1_4589a810a47e8bd7_.log 2025-12-04T09:15:08.6807756Z Running 0 items in this shard: 2025-12-04T09:15:08.6807947Z 2025-12-04T09:15:08.6808158Z Finished export/test_serdes 1/1 ... [2025-12-04 09:15:08.680392][1355.099192636], took 0.11min 2025-12-04T09:15:08.6875882Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_serdes/export.test_serdes-318243e0143a8e6a.xml 2025-12-04T09:15:08.7627473Z Running dynamo/test_regional_inductor 1/1 ... [2025-12-04 09:15:08.762477][1355.181277755] 2025-12-04T09:15:08.7627941Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:08.7630565Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_regional_inductor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:08.762756] 2025-12-04T09:15:14.1075490Z 2025-12-04T09:15:14.1076459Z dynamo/test_regional_inductor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_regional_inductor_1.1_017345c6252af608_.log 2025-12-04T09:15:14.1077255Z Running 0 items in this shard: 2025-12-04T09:15:14.1077427Z 2025-12-04T09:15:14.1077727Z Finished dynamo/test_regional_inductor 1/1 ... [2025-12-04 09:15:14.107290][1360.526090639], took 0.09min 2025-12-04T09:15:14.1145994Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-dba14773235aa0da.xml 2025-12-04T09:15:14.1408418Z Running inductor/test_remote_cache 1/1 ... [2025-12-04 09:15:14.140589][1360.559390028] 2025-12-04T09:15:14.1408889Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:14.1411655Z 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 09:15:14.140885] 2025-12-04T09:15:16.9468641Z 2025-12-04T09:15:16.9469524Z 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_2d83f96e12172d4d_.log 2025-12-04T09:15:16.9470284Z Running 0 items in this shard: 2025-12-04T09:15:16.9470464Z 2025-12-04T09:15:16.9470751Z Finished inductor/test_remote_cache 1/1 ... [2025-12-04 09:15:16.946637][1363.365434691], took 0.05min 2025-12-04T09:15:16.9540846Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_remote_cache/inductor.test_remote_cache-cfc0db6d18064498.xml 2025-12-04T09:15:16.9811934Z Running inductor/test_coordinate_descent_tuner 1/1 ... [2025-12-04 09:15:16.980937][1363.399737028] 2025-12-04T09:15:16.9813247Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:16.9815952Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_coordinate_descent_tuner.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:16.981266] 2025-12-04T09:15:22.3367338Z 2025-12-04T09:15:22.3368186Z inductor/test_coordinate_descent_tuner 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_coordinate_descent_tuner_1.1_ff249dac0eb329a2_.log 2025-12-04T09:15:22.3368852Z Running 0 items in this shard: 2025-12-04T09:15:22.3369001Z 2025-12-04T09:15:22.3369258Z Finished inductor/test_coordinate_descent_tuner 1/1 ... [2025-12-04 09:15:22.336508][1368.755307139], took 0.09min 2025-12-04T09:15:22.3439409Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_coordinate_descent_tuner/inductor.test_coordinate_descent_tuner-5fcea5a2ca98a211.xml 2025-12-04T09:15:22.3701920Z Running inductor/test_inplace_padding 1/1 ... [2025-12-04 09:15:22.369970][1368.788771276] 2025-12-04T09:15:22.3702406Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:22.3705414Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inplace_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 09:15:22.370264] 2025-12-04T09:15:28.2130425Z 2025-12-04T09:15:28.2131730Z inductor/test_inplace_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inplace_padding_1.1_042e57b1039a7f2c_.log 2025-12-04T09:15:28.2132531Z Running 0 items in this shard: 2025-12-04T09:15:28.2132712Z 2025-12-04T09:15:28.2133007Z Finished inductor/test_inplace_padding 1/1 ... [2025-12-04 09:15:28.212789][1374.631587718], took 0.10min 2025-12-04T09:15:28.2204866Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inplace_padding/inductor.test_inplace_padding-4c1dcef1d7f82231.xml 2025-12-04T09:15:28.2445726Z Running inductor/test_cudacodecache 1/1 ... [2025-12-04 09:15:28.244318][1374.663118914] 2025-12-04T09:15:28.2446499Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:28.2449649Z 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 09:15:28.244628] 2025-12-04T09:15:33.5904920Z 2025-12-04T09:15:33.5905830Z inductor/test_cudacodecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudacodecache_1.1_6ff79d77f2474c23_.log 2025-12-04T09:15:33.5906641Z Running 0 items in this shard: 2025-12-04T09:15:33.5906812Z 2025-12-04T09:15:33.5907118Z Finished inductor/test_cudacodecache 1/1 ... [2025-12-04 09:15:33.590263][1380.009064245], took 0.09min 2025-12-04T09:15:33.5979458Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cudacodecache/inductor.test_cudacodecache-758b0643c0bc1a89.xml 2025-12-04T09:15:33.6259170Z Running inductor/test_minifier_utils 1/1 ... [2025-12-04 09:15:33.625684][1380.044485662] 2025-12-04T09:15:33.6259653Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:33.6262605Z 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 09:15:33.625989] 2025-12-04T09:15:36.6470923Z 2025-12-04T09:15:36.6471846Z 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_cc67aba9d9d9779d_.log 2025-12-04T09:15:36.6473007Z Running 0 items in this shard: 2025-12-04T09:15:36.6473210Z 2025-12-04T09:15:36.6473508Z Finished inductor/test_minifier_utils 1/1 ... [2025-12-04 09:15:36.646883][1383.065682532], took 0.05min 2025-12-04T09:15:36.6547369Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_minifier_utils/inductor.test_minifier_utils-798d2f1a603f40bf.xml 2025-12-04T09:15:36.6782574Z Running inductor/test_debug_trace 1/1 ... [2025-12-04 09:15:36.678047][1383.096848107] 2025-12-04T09:15:36.6783031Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:36.6785895Z 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 09:15:36.678337] 2025-12-04T09:15:42.5265577Z 2025-12-04T09:15:42.5266468Z 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_240ffa26650e9ffc_.log 2025-12-04T09:15:42.5267213Z Running 0 items in this shard: 2025-12-04T09:15:42.5267401Z 2025-12-04T09:15:42.5267673Z Finished inductor/test_debug_trace 1/1 ... [2025-12-04 09:15:42.526318][1388.945117302], took 0.10min 2025-12-04T09:15:42.5343567Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_debug_trace/inductor.test_debug_trace-58522688cc964d42.xml 2025-12-04T09:15:42.5610539Z Running dynamo/test_recompiles 1/1 ... [2025-12-04 09:15:42.560838][1388.979638475] 2025-12-04T09:15:42.5610892Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:42.5614073Z 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 09:15:42.561132] 2025-12-04T09:15:45.5734296Z 2025-12-04T09:15:45.5735182Z dynamo/test_recompiles 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompiles_1.1_93552d7a235c0eb7_.log 2025-12-04T09:15:45.5735909Z Running 0 items in this shard: 2025-12-04T09:15:45.5736087Z 2025-12-04T09:15:45.5736359Z Finished dynamo/test_recompiles 1/1 ... [2025-12-04 09:15:45.573180][1391.991978397], took 0.05min 2025-12-04T09:15:45.5813363Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_recompiles/dynamo.test_recompiles-f9a09d4d15723d27.xml 2025-12-04T09:15:45.6064954Z Running inductor/test_foreach 1/1 ... [2025-12-04 09:15:45.606289][1392.025090044] 2025-12-04T09:15:45.6065433Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:45.6068446Z 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 09:15:45.606582] 2025-12-04T09:15:52.1426552Z 2025-12-04T09:15:52.1427403Z inductor/test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_foreach_1.1_e9fd6b30fe11f99c_.log 2025-12-04T09:15:52.1428127Z Running 0 items in this shard: 2025-12-04T09:15:52.1428314Z 2025-12-04T09:15:52.1428580Z Finished inductor/test_foreach 1/1 ... [2025-12-04 09:15:52.142414][1398.561212829], took 0.11min 2025-12-04T09:15:52.1505717Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_foreach/inductor.test_foreach-4469c46bb49e429d.xml 2025-12-04T09:15:52.2322353Z Running inductor/test_compiled_optimizers 2/3 ... [2025-12-04 09:15:52.232000][1398.650799404] 2025-12-04T09:15:52.2323119Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:52.2325957Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compiled_optimizers.py', '-m', 'serial', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:15:52.232306] 2025-12-04T09:15:59.8950855Z 2025-12-04T09:15:59.8951760Z inductor/test_compiled_optimizers 2/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_optimizers_2.3_5384dbfc4bc0a000_.log 2025-12-04T09:15:59.8952595Z Running 0 items in this shard: 2025-12-04T09:15:59.8952772Z 2025-12-04T09:15:59.8953086Z Finished inductor/test_compiled_optimizers 2/3 ... [2025-12-04 09:15:59.894838][1406.313637248], took 0.13min 2025-12-04T09:15:59.9034912Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compiled_optimizers/inductor.test_compiled_optimizers-cba2c829782ea5b2.xml 2025-12-04T09:15:59.9824674Z Running inductor/test_control_flow 2/5 ... [2025-12-04 09:15:59.982222][1406.401023279] 2025-12-04T09:15:59.9825140Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:15:59.9828000Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_control_flow.py', '-m', 'serial', '--shard-id=2', '--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 09:15:59.982515] 2025-12-04T09:16:06.4023789Z 2025-12-04T09:16:06.4024651Z inductor/test_control_flow 2/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_flow_2.5_18e3f52258844610_.log 2025-12-04T09:16:06.4025439Z Running 0 items in this shard: 2025-12-04T09:16:06.4025623Z 2025-12-04T09:16:06.4025905Z Finished inductor/test_control_flow 2/5 ... [2025-12-04 09:16:06.402140][1412.820940089], took 0.11min 2025-12-04T09:16:06.4106321Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_control_flow/inductor.test_control_flow-8d3a8edd6acfb4cb.xml 2025-12-04T09:16:06.4954836Z Running inductor/test_fxir_backend 1/1 ... [2025-12-04 09:16:06.495230][1412.914031515] 2025-12-04T09:16:06.4955318Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:16:06.4958197Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fxir_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:06.495527] 2025-12-04T09:16:12.0045386Z 2025-12-04T09:16:12.0046315Z inductor/test_fxir_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fxir_backend_1.1_72a547273774e2d3_.log 2025-12-04T09:16:12.0047113Z Running 0 items in this shard: 2025-12-04T09:16:12.0047306Z 2025-12-04T09:16:12.0047590Z Finished inductor/test_fxir_backend 1/1 ... [2025-12-04 09:16:12.004326][1418.423126515], took 0.09min 2025-12-04T09:16:12.0132524Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_fxir_backend/inductor.test_fxir_backend-79732d59f8d2ba75.xml 2025-12-04T09:16:12.0410507Z Running dynamo/test_cudagraphs_expandable_segments 1/1 ... [2025-12-04 09:16:12.040802][1418.459603628] 2025-12-04T09:16:12.0411017Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:16:12.0414082Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_cudagraphs_expandable_segments.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:12.041095] 2025-12-04T09:16:15.3329700Z 2025-12-04T09:16:15.3331054Z dynamo/test_cudagraphs_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_expandable_segments_1.1_d5a90b5fb8181b5c_.log 2025-12-04T09:16:15.3331991Z Running 0 items in this shard: 2025-12-04T09:16:15.3332189Z 2025-12-04T09:16:15.3332536Z Finished dynamo/test_cudagraphs_expandable_segments 1/1 ... [2025-12-04 09:16:15.332751][1421.751550395], took 0.05min 2025-12-04T09:16:15.3416848Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_cudagraphs_expandable_segments/dynamo.test_cudagraphs_expandable_segments-feb888562cf787e6.xml 2025-12-04T09:16:15.3759726Z Running inductor/test_caching 1/1 ... [2025-12-04 09:16:15.375753][1421.794554175] 2025-12-04T09:16:15.3760209Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:16:15.3763183Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_caching.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:15.376048] 2025-12-04T09:16:18.3713728Z 2025-12-04T09:16:18.3714555Z inductor/test_caching 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_caching_1.1_8f874d97207a5a3a_.log 2025-12-04T09:16:18.3715294Z Running 0 items in this shard: 2025-12-04T09:16:18.3715468Z 2025-12-04T09:16:18.3715734Z Finished inductor/test_caching 1/1 ... [2025-12-04 09:16:18.371156][1424.789955909], took 0.05min 2025-12-04T09:16:18.3803629Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_caching/inductor.test_caching-bad1cbcc4f9bec3f.xml 2025-12-04T09:16:18.4143135Z Running dynamo/test_aot_autograd_cache 1/1 ... [2025-12-04 09:16:18.414094][1424.832894867] 2025-12-04T09:16:18.4143612Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:16:18.4146519Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_aot_autograd_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 09:16:18.414395] 2025-12-04T09:16:23.9246818Z 2025-12-04T09:16:23.9247723Z dynamo/test_aot_autograd_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_cache_1.1_5fe3684560456774_.log 2025-12-04T09:16:23.9248531Z Running 0 items in this shard: 2025-12-04T09:16:23.9248705Z 2025-12-04T09:16:23.9249015Z Finished dynamo/test_aot_autograd_cache 1/1 ... [2025-12-04 09:16:23.924482][1430.34328195], took 0.09min 2025-12-04T09:16:23.9338680Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_aot_autograd_cache/dynamo.test_aot_autograd_cache-fdead6eb24b97c49.xml 2025-12-04T09:16:23.9617464Z Running dynamo/test_flat_apply 1/1 ... [2025-12-04 09:16:23.961524][1430.380325298] 2025-12-04T09:16:23.9617915Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:16:23.9620962Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_flat_apply.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:23.961828] 2025-12-04T09:16:26.9904757Z 2025-12-04T09:16:26.9905586Z dynamo/test_flat_apply 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_flat_apply_1.1_70d2fef4d71fb9bf_.log 2025-12-04T09:16:26.9906328Z Running 0 items in this shard: 2025-12-04T09:16:26.9906880Z 2025-12-04T09:16:26.9907153Z Finished dynamo/test_flat_apply 1/1 ... [2025-12-04 09:16:26.990233][1433.409032177], took 0.05min 2025-12-04T09:16:26.9995177Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_flat_apply/dynamo.test_flat_apply-5e61bcb4b4985ba9.xml 2025-12-04T09:16:27.0268446Z Running dynamo/test_input_attr_tracking 1/1 ... [2025-12-04 09:16:27.026621][1433.445422534] 2025-12-04T09:16:27.0268934Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:16:27.0271763Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_input_attr_tracking.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:27.026920] 2025-12-04T09:16:30.0434920Z 2025-12-04T09:16:30.0435802Z dynamo/test_input_attr_tracking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_input_attr_tracking_1.1_dc537c04663a337f_.log 2025-12-04T09:16:30.0436618Z Running 0 items in this shard: 2025-12-04T09:16:30.0436798Z 2025-12-04T09:16:30.0437117Z Finished dynamo/test_input_attr_tracking 1/1 ... [2025-12-04 09:16:30.043285][1436.462084815], took 0.05min 2025-12-04T09:16:30.0526354Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_input_attr_tracking/dynamo.test_input_attr_tracking-2bd10152f9383e2a.xml 2025-12-04T09:16:30.0763167Z Running dynamo/test_compiler_bisector 1/1 ... [2025-12-04 09:16:30.076096][1436.494897433] 2025-12-04T09:16:30.0763655Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:16:30.0766667Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_compiler_bisector.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:30.076403] 2025-12-04T09:16:35.4343578Z 2025-12-04T09:16:35.4344828Z dynamo/test_compiler_bisector 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compiler_bisector_1.1_339c07e234a488e4_.log 2025-12-04T09:16:35.4345617Z Running 0 items in this shard: 2025-12-04T09:16:35.4345794Z 2025-12-04T09:16:35.4346101Z Finished dynamo/test_compiler_bisector 1/1 ... [2025-12-04 09:16:35.434113][1441.852913492], took 0.09min 2025-12-04T09:16:35.4438768Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_compiler_bisector/dynamo.test_compiler_bisector-67337fa29868f401.xml 2025-12-04T09:16:35.4702836Z Running dynamo/test_graph_deduplication 1/1 ... [2025-12-04 09:16:35.470050][1441.888851407] 2025-12-04T09:16:35.4703634Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:16:35.4706299Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_graph_deduplication.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:35.470324] 2025-12-04T09:16:38.4874558Z 2025-12-04T09:16:38.4875726Z dynamo/test_graph_deduplication 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_deduplication_1.1_290175903d0a10f2_.log 2025-12-04T09:16:38.4877110Z Running 0 items in this shard: 2025-12-04T09:16:38.4877416Z 2025-12-04T09:16:38.4877831Z Finished dynamo/test_graph_deduplication 1/1 ... [2025-12-04 09:16:38.487234][1444.906033895], took 0.05min 2025-12-04T09:16:38.4971499Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_graph_deduplication/dynamo.test_graph_deduplication-febffe55f352c2d8.xml 2025-12-04T09:16:38.5303237Z Running dynamo/test_structured_trace 1/1 ... [2025-12-04 09:16:38.530088][1444.948889398] 2025-12-04T09:16:38.5304329Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:16:38.5307450Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_structured_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 09:16:38.530364] 2025-12-04T09:16:43.9087473Z 2025-12-04T09:16:43.9088342Z dynamo/test_structured_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_structured_trace_1.1_43a319c400a01b49_.log 2025-12-04T09:16:43.9089139Z Running 0 items in this shard: 2025-12-04T09:16:43.9089315Z 2025-12-04T09:16:43.9089599Z Finished dynamo/test_structured_trace 1/1 ... [2025-12-04 09:16:43.908541][1450.327340772], took 0.09min 2025-12-04T09:16:43.9186131Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_structured_trace/dynamo.test_structured_trace-6bc219a0a602c3f1.xml 2025-12-04T09:16:43.9548508Z Running dynamo/test_error_messages 1/1 ... [2025-12-04 09:16:43.954621][1450.373421978] 2025-12-04T09:16:43.9548980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:16:43.9551842Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_error_messages.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:43.954893] 2025-12-04T09:16:47.0149466Z 2025-12-04T09:16:47.0150925Z dynamo/test_error_messages 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_error_messages_1.1_f23dd39b804a5c44_.log 2025-12-04T09:16:47.0152337Z Running 0 items in this shard: 2025-12-04T09:16:47.0152665Z 2025-12-04T09:16:47.0153272Z Finished dynamo/test_error_messages 1/1 ... [2025-12-04 09:16:47.014614][1453.433411334], took 0.05min 2025-12-04T09:16:47.0249088Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_error_messages/dynamo.test_error_messages-f208b6f7b21d4838.xml 2025-12-04T09:16:47.0530671Z Running dynamo/test_bytecode_utils 1/1 ... [2025-12-04 09:16:47.052868][1453.47166881] 2025-12-04T09:16:47.0531124Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:16:47.0533922Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_bytecode_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 09:16:47.053139] 2025-12-04T09:16:50.1012470Z 2025-12-04T09:16:50.1013363Z dynamo/test_bytecode_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_bytecode_utils_1.1_d751c975c14aea7d_.log 2025-12-04T09:16:50.1014157Z Running 0 items in this shard: 2025-12-04T09:16:50.1014347Z 2025-12-04T09:16:50.1014643Z Finished dynamo/test_bytecode_utils 1/1 ... [2025-12-04 09:16:50.100999][1456.519799417], took 0.05min 2025-12-04T09:16:50.1111910Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_bytecode_utils/dynamo.test_bytecode_utils-a348031bad9a5e45.xml 2025-12-04T09:16:50.1430484Z Running export/test_nativert 1/1 ... [2025-12-04 09:16:50.142837][1456.561639042] 2025-12-04T09:16:50.1430942Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:16:50.1434160Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_nativert.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:50.143139] 2025-12-04T09:16:55.7268164Z 2025-12-04T09:16:55.7269023Z export/test_nativert 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_nativert_1.1_a128abd21c9d74ea_.log 2025-12-04T09:16:55.7269729Z Running 0 items in this shard: 2025-12-04T09:16:55.7270279Z 2025-12-04T09:16:55.7270553Z Finished export/test_nativert 1/1 ... [2025-12-04 09:16:55.726585][1462.145385741], took 0.09min 2025-12-04T09:16:55.7368642Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_nativert/export.test_nativert-d650b07a8e283c9a.xml 2025-12-04T09:16:55.7683297Z Running inductor/test_custom_op_autotune 1/1 ... [2025-12-04 09:16:55.768107][1462.186908438] 2025-12-04T09:16:55.7683779Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:16:55.7686707Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_custom_op_autotune.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:16:55.768403] 2025-12-04T09:17:01.0653173Z 2025-12-04T09:17:01.0654128Z inductor/test_custom_op_autotune 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_op_autotune_1.1_72afc437cc82c6b3_.log 2025-12-04T09:17:01.0654941Z Running 0 items in this shard: 2025-12-04T09:17:01.0655117Z 2025-12-04T09:17:01.0655423Z Finished inductor/test_custom_op_autotune 1/1 ... [2025-12-04 09:17:01.065088][1467.483888136], took 0.09min 2025-12-04T09:17:01.0758574Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_custom_op_autotune/inductor.test_custom_op_autotune-0b10662b700f4bbc.xml 2025-12-04T09:17:01.1369447Z Running export/test_hop 1/1 ... [2025-12-04 09:17:01.136712][1467.555513929] 2025-12-04T09:17:01.1369880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:01.1372791Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_hop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:01.137009] 2025-12-04T09:17:05.1646876Z 2025-12-04T09:17:05.1647711Z export/test_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_hop_1.1_4ccfd10b7bddc847_.log 2025-12-04T09:17:05.1648387Z Running 0 items in this shard: 2025-12-04T09:17:05.1648568Z 2025-12-04T09:17:05.1648820Z Finished export/test_hop 1/1 ... [2025-12-04 09:17:05.164445][1471.583245575], took 0.07min 2025-12-04T09:17:05.1749098Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_hop/export.test_hop-d579cad6da830698.xml 2025-12-04T09:17:05.2042389Z Running dynamo/test_tree_map 1/1 ... [2025-12-04 09:17:05.204013][1471.622814329] 2025-12-04T09:17:05.2042841Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:05.2045613Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_tree_map.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:05.204310] 2025-12-04T09:17:07.9467941Z 2025-12-04T09:17:07.9468858Z dynamo/test_tree_map 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_tree_map_1.1_4c64d17be027957a_.log 2025-12-04T09:17:07.9469696Z Running 0 items in this shard: 2025-12-04T09:17:07.9469989Z 2025-12-04T09:17:07.9470259Z Finished dynamo/test_tree_map 1/1 ... [2025-12-04 09:17:07.946572][1474.365372229], took 0.05min 2025-12-04T09:17:07.9572017Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_tree_map/dynamo.test_tree_map-d1eb05fc8e4a2841.xml 2025-12-04T09:17:07.9849521Z Running dynamo/test_minifier 1/1 ... [2025-12-04 09:17:07.984741][1474.403542446] 2025-12-04T09:17:07.9849973Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:07.9853329Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_minifier.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:07.985047] 2025-12-04T09:17:11.2196545Z 2025-12-04T09:17:11.2197412Z dynamo/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_minifier_1.1_b20bd8008dea2886_.log 2025-12-04T09:17:11.2198174Z Running 0 items in this shard: 2025-12-04T09:17:11.2198393Z 2025-12-04T09:17:11.2198627Z Finished dynamo/test_minifier 1/1 ... [2025-12-04 09:17:11.219413][1477.63821317], took 0.05min 2025-12-04T09:17:11.2302369Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_minifier/dynamo.test_minifier-ee4499efc5f39abc.xml 2025-12-04T09:17:11.2636506Z Running dynamo/test_guard_manager 1/1 ... [2025-12-04 09:17:11.263409][1477.682210727] 2025-12-04T09:17:11.2636979Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:11.2639839Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_guard_manager.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:11.263703] 2025-12-04T09:17:14.0534812Z 2025-12-04T09:17:14.0535782Z dynamo/test_guard_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_manager_1.1_ea01e79a86471c3c_.log 2025-12-04T09:17:14.0536595Z Running 0 items in this shard: 2025-12-04T09:17:14.0536845Z 2025-12-04T09:17:14.0537148Z Finished dynamo/test_guard_manager 1/1 ... [2025-12-04 09:17:14.053252][1480.472052439], took 0.05min 2025-12-04T09:17:14.0642350Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_guard_manager/dynamo.test_guard_manager-4c8eccda7b89972e.xml 2025-12-04T09:17:14.0926199Z Running export/test_schema 1/1 ... [2025-12-04 09:17:14.092405][1480.511206199] 2025-12-04T09:17:14.0926635Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:14.0929779Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_schema.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:14.092705] 2025-12-04T09:17:16.8792550Z 2025-12-04T09:17:16.8793366Z export/test_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_schema_1.1_f954e8d31ba14d79_.log 2025-12-04T09:17:16.8794127Z Running 0 items in this shard: 2025-12-04T09:17:16.8794304Z 2025-12-04T09:17:16.8794557Z Finished export/test_schema 1/1 ... [2025-12-04 09:17:16.879024][1483.297824586], took 0.05min 2025-12-04T09:17:16.8901314Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_schema/export.test_schema-67fbe0111c4f52bb.xml 2025-12-04T09:17:16.9246372Z Running export/test_pass_infra 1/1 ... [2025-12-04 09:17:16.924399][1483.34320051] 2025-12-04T09:17:16.9246811Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:16.9249788Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_pass_infra.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:16.924697] 2025-12-04T09:17:19.6446778Z 2025-12-04T09:17:19.6447609Z export/test_pass_infra 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_pass_infra_1.1_255c2e92630e1084_.log 2025-12-04T09:17:19.6448664Z Running 0 items in this shard: 2025-12-04T09:17:19.6448844Z 2025-12-04T09:17:19.6449272Z Finished export/test_pass_infra 1/1 ... [2025-12-04 09:17:19.644487][1486.063286747], took 0.05min 2025-12-04T09:17:19.6559016Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_pass_infra/export.test_pass_infra-49091fb08fec147d.xml 2025-12-04T09:17:19.6940081Z Running dynamo/test_recompile_ux 1/1 ... [2025-12-04 09:17:19.693779][1486.112580995] 2025-12-04T09:17:19.6940544Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:19.6943339Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_recompile_ux.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:19.694082] 2025-12-04T09:17:22.7114870Z 2025-12-04T09:17:22.7115860Z dynamo/test_recompile_ux 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompile_ux_1.1_8c556dbb19f2c2d2_.log 2025-12-04T09:17:22.7116690Z Running 0 items in this shard: 2025-12-04T09:17:22.7116954Z 2025-12-04T09:17:22.7117230Z Finished dynamo/test_recompile_ux 1/1 ... [2025-12-04 09:17:22.711267][1489.130066308], took 0.05min 2025-12-04T09:17:22.7229222Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_recompile_ux/dynamo.test_recompile_ux-8b11353b3211de74.xml 2025-12-04T09:17:22.7520674Z Running export/test_experimental 1/1 ... [2025-12-04 09:17:22.751849][1489.170650123] 2025-12-04T09:17:22.7521127Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:22.7524410Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_experimental.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:22.752154] 2025-12-04T09:17:25.7916657Z 2025-12-04T09:17:25.7917419Z export/test_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_experimental_1.1_950d25a1a9f73b0a_.log 2025-12-04T09:17:25.7918042Z Running 0 items in this shard: 2025-12-04T09:17:25.7918189Z 2025-12-04T09:17:25.7918420Z Finished export/test_experimental 1/1 ... [2025-12-04 09:17:25.791468][1492.210267692], took 0.05min 2025-12-04T09:17:25.8029356Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_experimental/export.test_experimental-7ff8264bc9b0c213.xml 2025-12-04T09:17:25.8313363Z Running export/test_converter 1/1 ... [2025-12-04 09:17:25.831094][1492.249894463] 2025-12-04T09:17:25.8313803Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:25.8316802Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_converter.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:25.831413] 2025-12-04T09:17:28.9227255Z 2025-12-04T09:17:28.9228058Z export/test_converter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_converter_1.1_813e79d6330f41b9_.log 2025-12-04T09:17:28.9228778Z Running 0 items in this shard: 2025-12-04T09:17:28.9228952Z 2025-12-04T09:17:28.9229212Z Finished export/test_converter 1/1 ... [2025-12-04 09:17:28.922507][1495.341307309], took 0.05min 2025-12-04T09:17:28.9342118Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_converter/export.test_converter-d4c9be38cebf2477.xml 2025-12-04T09:17:28.9565528Z Running export/test_export 1/1 ... [2025-12-04 09:17:28.956340][1495.375141187] 2025-12-04T09:17:28.9565982Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:28.9568926Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_export.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:28.956636] 2025-12-04T09:17:35.0906518Z 2025-12-04T09:17:35.0907422Z export/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_1.1_b142ae2f804d6f26_.log 2025-12-04T09:17:35.0908212Z Running 0 items in this shard: 2025-12-04T09:17:35.0908498Z 2025-12-04T09:17:35.0908751Z Finished export/test_export 1/1 ... [2025-12-04 09:17:35.090316][1501.509116351], took 0.10min 2025-12-04T09:17:35.1023276Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_export/export.test_export-cf81a601dffc54d7.xml 2025-12-04T09:17:35.1818513Z Running test_model_exports_to_core_aten 1/1 ... [2025-12-04 09:17:35.181599][1501.600400222] 2025-12-04T09:17:35.1818999Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:35.1821965Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_model_exports_to_core_aten.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:35.181898] 2025-12-04T09:17:38.3078744Z 2025-12-04T09:17:38.3079634Z test_model_exports_to_core_aten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_model_exports_to_core_aten_1.1_06a4033d43870b6b_.log 2025-12-04T09:17:38.3080405Z Running 0 items in this shard: 2025-12-04T09:17:38.3080580Z 2025-12-04T09:17:38.3080868Z Finished test_model_exports_to_core_aten 1/1 ... [2025-12-04 09:17:38.307653][1504.726452362], took 0.05min 2025-12-04T09:17:38.3197826Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_model_exports_to_core_aten/test_model_exports_to_core_aten-1c5a3724f6e32ccb.xml 2025-12-04T09:17:38.3471332Z Running dynamo/test_precompile_context 1/1 ... [2025-12-04 09:17:38.346883][1504.765684345] 2025-12-04T09:17:38.3471814Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:38.3474295Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_precompile_context.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:38.347157] 2025-12-04T09:17:43.7112377Z 2025-12-04T09:17:43.7113326Z dynamo/test_precompile_context 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_precompile_context_1.1_dc118c188da956bc_.log 2025-12-04T09:17:43.7114274Z Running 0 items in this shard: 2025-12-04T09:17:43.7114472Z 2025-12-04T09:17:43.7114796Z Finished dynamo/test_precompile_context 1/1 ... [2025-12-04 09:17:43.710986][1510.129786161], took 0.09min 2025-12-04T09:17:43.7232426Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_precompile_context/dynamo.test_precompile_context-f9ffa4d4bac0d393.xml 2025-12-04T09:17:43.7483893Z Running dynamo/test_trace_rules 1/1 ... [2025-12-04 09:17:43.748175][1510.166976048] 2025-12-04T09:17:43.7484340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:43.7487064Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_trace_rules.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:43.748454] 2025-12-04T09:17:46.4812507Z 2025-12-04T09:17:46.4813361Z dynamo/test_trace_rules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_trace_rules_1.1_7e8cd90e97d47257_.log 2025-12-04T09:17:46.4814453Z Running 0 items in this shard: 2025-12-04T09:17:46.4814656Z 2025-12-04T09:17:46.4814916Z Finished dynamo/test_trace_rules 1/1 ... [2025-12-04 09:17:46.481027][1512.899826962], took 0.05min 2025-12-04T09:17:46.4934595Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_trace_rules/dynamo.test_trace_rules-4dacaa3d6173922a.xml 2025-12-04T09:17:46.5193157Z Running export/test_upgrader 1/1 ... [2025-12-04 09:17:46.519102][1512.937903741] 2025-12-04T09:17:46.5193616Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:46.5196348Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_upgrader.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:46.519377] 2025-12-04T09:17:49.2919316Z 2025-12-04T09:17:49.2920190Z export/test_upgrader 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_upgrader_1.1_4a22014050b318cb_.log 2025-12-04T09:17:49.2920903Z Running 0 items in this shard: 2025-12-04T09:17:49.2921079Z 2025-12-04T09:17:49.2921354Z Finished export/test_upgrader 1/1 ... [2025-12-04 09:17:49.291715][1515.710514774], took 0.05min 2025-12-04T09:17:49.3043256Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_upgrader/export.test_upgrader-8468be297992793f.xml 2025-12-04T09:17:49.3336810Z Running dynamo/test_hooks 1/1 ... [2025-12-04 09:17:49.333472][1515.752272985] 2025-12-04T09:17:49.3337251Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:49.3340101Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_hooks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:49.333742] 2025-12-04T09:17:52.3731693Z 2025-12-04T09:17:52.3732495Z dynamo/test_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_hooks_1.1_cdb001bf523e5406_.log 2025-12-04T09:17:52.3733195Z Running 0 items in this shard: 2025-12-04T09:17:52.3733373Z 2025-12-04T09:17:52.3733613Z Finished dynamo/test_hooks 1/1 ... [2025-12-04 09:17:52.372944][1518.791744298], took 0.05min 2025-12-04T09:17:52.3855362Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_hooks/dynamo.test_hooks-485da715829026a6.xml 2025-12-04T09:17:52.4127148Z Running dynamo/test_reorder_logs 1/1 ... [2025-12-04 09:17:52.412500][1518.831301037] 2025-12-04T09:17:52.4127634Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:52.4130325Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_reorder_logs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:52.412773] 2025-12-04T09:17:55.4141125Z 2025-12-04T09:17:55.4141988Z dynamo/test_reorder_logs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_reorder_logs_1.1_5facdf18c2a04724_.log 2025-12-04T09:17:55.4142734Z Running 0 items in this shard: 2025-12-04T09:17:55.4142920Z 2025-12-04T09:17:55.4143202Z Finished dynamo/test_reorder_logs 1/1 ... [2025-12-04 09:17:55.413894][1521.832694061], took 0.05min 2025-12-04T09:17:55.4268481Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_reorder_logs/dynamo.test_reorder_logs-e1714999b8ae9358.xml 2025-12-04T09:17:55.4528432Z Running dynamo/test_subclasses 1/1 ... [2025-12-04 09:17:55.452641][1521.871442622] 2025-12-04T09:17:55.4528889Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:17:55.4531837Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_subclasses.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:17:55.452916] 2025-12-04T09:18:00.9553764Z 2025-12-04T09:18:00.9554605Z dynamo/test_subclasses 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subclasses_1.1_6823c2e5392c1f84_.log 2025-12-04T09:18:00.9555356Z Running 0 items in this shard: 2025-12-04T09:18:00.9555536Z 2025-12-04T09:18:00.9555808Z Finished dynamo/test_subclasses 1/1 ... [2025-12-04 09:18:00.955140][1527.373940558], took 0.09min 2025-12-04T09:18:00.9681542Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_subclasses/dynamo.test_subclasses-f3021ac1346ab2dc.xml 2025-12-04T09:18:00.9900034Z Running dynamo/test_generator 1/1 ... [2025-12-04 09:18:00.989763][1527.408564252] 2025-12-04T09:18:00.9900477Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:00.9903122Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_generator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:00.990048] 2025-12-04T09:18:04.1117245Z 2025-12-04T09:18:04.1118068Z dynamo/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_generator_1.1_4e77b8600e214a88_.log 2025-12-04T09:18:04.1118781Z Running 0 items in this shard: 2025-12-04T09:18:04.1118954Z 2025-12-04T09:18:04.1119267Z Finished dynamo/test_generator 1/1 ... [2025-12-04 09:18:04.111506][1530.530304588], took 0.05min 2025-12-04T09:18:04.1248580Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_generator/dynamo.test_generator-9579b02ef04ced8b.xml 2025-12-04T09:18:04.1544082Z Running export/test_lift_unlift 1/1 ... [2025-12-04 09:18:04.154205][1530.573006654] 2025-12-04T09:18:04.1544547Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:04.1547305Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_lift_unlift.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:04.154484] 2025-12-04T09:18:06.8984422Z 2025-12-04T09:18:06.8985266Z export/test_lift_unlift 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_lift_unlift_1.1_ede93404e3b6ac90_.log 2025-12-04T09:18:06.8986050Z Running 0 items in this shard: 2025-12-04T09:18:06.8986237Z 2025-12-04T09:18:06.8986496Z Finished export/test_lift_unlift 1/1 ... [2025-12-04 09:18:06.898225][1533.317024706], took 0.05min 2025-12-04T09:18:06.9113290Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_lift_unlift/export.test_lift_unlift-e15a71b8bee17ed2.xml 2025-12-04T09:18:06.9445286Z Running dynamo/test_decorators 1/1 ... [2025-12-04 09:18:06.944318][1533.36311883] 2025-12-04T09:18:06.9445729Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:06.9448452Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_decorators.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:06.944593] 2025-12-04T09:18:10.0463776Z 2025-12-04T09:18:10.0464998Z dynamo/test_decorators 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_decorators_1.1_868e31f07453b3e7_.log 2025-12-04T09:18:10.0465721Z Running 0 items in this shard: 2025-12-04T09:18:10.0465893Z 2025-12-04T09:18:10.0466352Z Finished dynamo/test_decorators 1/1 ... [2025-12-04 09:18:10.046165][1536.464964677], took 0.05min 2025-12-04T09:18:10.0595256Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_decorators/dynamo.test_decorators-dd0954c525e48d88.xml 2025-12-04T09:18:10.0859716Z Running export/test_verifier 1/1 ... [2025-12-04 09:18:10.085732][1536.504533704] 2025-12-04T09:18:10.0860153Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:10.0863425Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_verifier.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:10.086077] 2025-12-04T09:18:12.8335367Z 2025-12-04T09:18:12.8336231Z export/test_verifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_verifier_1.1_3fe6329ce4aa4e50_.log 2025-12-04T09:18:12.8336957Z Running 0 items in this shard: 2025-12-04T09:18:12.8337134Z 2025-12-04T09:18:12.8337388Z Finished export/test_verifier 1/1 ... [2025-12-04 09:18:12.833344][1539.252144616], took 0.05min 2025-12-04T09:18:12.8469780Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_verifier/export.test_verifier-53340f7318b8e624.xml 2025-12-04T09:18:12.8731742Z Running export/test_sparse 1/1 ... [2025-12-04 09:18:12.872965][1539.291765446] 2025-12-04T09:18:12.8732189Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:12.8734861Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_sparse.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:12.873236] 2025-12-04T09:18:15.9379358Z 2025-12-04T09:18:15.9380220Z export/test_sparse 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_sparse_1.1_3b49e765773ae80f_.log 2025-12-04T09:18:15.9380910Z Running 0 items in this shard: 2025-12-04T09:18:15.9381092Z 2025-12-04T09:18:15.9381342Z Finished export/test_sparse 1/1 ... [2025-12-04 09:18:15.937653][1542.356452317], took 0.05min 2025-12-04T09:18:15.9513356Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_sparse/export.test_sparse-98cdc8564a6cef0e.xml 2025-12-04T09:18:15.9833705Z Running xpu/test_fusion 1/1 ... [2025-12-04 09:18:15.983168][1542.401969373] 2025-12-04T09:18:15.9834122Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:15.9836789Z 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 09:18:15.983439] 2025-12-04T09:18:19.0332284Z 2025-12-04T09:18:19.0333080Z xpu/test_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_fusion_1.1_9b6c0ca8d09cc810_.log 2025-12-04T09:18:19.0333763Z Running 0 items in this shard: 2025-12-04T09:18:19.0333935Z 2025-12-04T09:18:19.0334165Z Finished xpu/test_fusion 1/1 ... [2025-12-04 09:18:19.033015][1545.451814531], took 0.05min 2025-12-04T09:18:19.0469081Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_fusion/xpu.test_fusion-43ad471edf14a728.xml 2025-12-04T09:18:19.0752184Z Running test_ops_jit 1/2 ... [2025-12-04 09:18:19.074999][1545.493801131] 2025-12-04T09:18:19.0752950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:19.0755528Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_jit.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 09:18:19.075276] 2025-12-04T09:18:24.7432739Z 2025-12-04T09:18:24.7433537Z test_ops_jit 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_1.2_2349f3949c965b82_.log 2025-12-04T09:18:24.7434191Z Running 0 items in this shard: 2025-12-04T09:18:24.7434369Z 2025-12-04T09:18:24.7434581Z Finished test_ops_jit 1/2 ... [2025-12-04 09:18:24.743021][1551.161821462], took 0.09min 2025-12-04T09:18:24.7569557Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-28e550a8b1492617.xml 2025-12-04T09:18:24.7827309Z Running test_ops_jit 2/2 ... [2025-12-04 09:18:24.782511][1551.201312624] 2025-12-04T09:18:24.7827790Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:24.7830558Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_jit.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 09:18:24.782792] 2025-12-04T09:18:30.4438540Z 2025-12-04T09:18:30.4439322Z test_ops_jit 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_2.2_20f044407b6b8722_.log 2025-12-04T09:18:30.4441741Z Running 0 items in this shard: 2025-12-04T09:18:30.4441977Z 2025-12-04T09:18:30.4442217Z Finished test_ops_jit 2/2 ... [2025-12-04 09:18:30.443585][1556.862384823], took 0.09min 2025-12-04T09:18:30.4577389Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-0ebfa020f2fd8562.xml 2025-12-04T09:18:30.4842196Z Running test_numpy_interop 1/1 ... [2025-12-04 09:18:30.483994][1556.902794871] 2025-12-04T09:18:30.4842631Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:30.4845759Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numpy_interop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:30.484273] 2025-12-04T09:18:33.7444985Z 2025-12-04T09:18:33.7445842Z test_numpy_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numpy_interop_1.1_22c97217d863cee5_.log 2025-12-04T09:18:33.7446552Z Running 0 items in this shard: 2025-12-04T09:18:33.7446733Z 2025-12-04T09:18:33.7446997Z Finished test_numpy_interop 1/1 ... [2025-12-04 09:18:33.744249][1560.163048975], took 0.05min 2025-12-04T09:18:33.7584520Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numpy_interop/test_numpy_interop-6acbedcbeef84a13.xml 2025-12-04T09:18:33.7862117Z Running profiler/test_cpp_thread 1/1 ... [2025-12-04 09:18:33.785979][1560.204779936] 2025-12-04T09:18:33.7862605Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:33.7865206Z 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 09:18:33.786255] 2025-12-04T09:18:38.6998236Z 2025-12-04T09:18:38.6999086Z 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_6f07bb048c66fafa_.log 2025-12-04T09:18:38.6999837Z Running 0 items in this shard: 2025-12-04T09:18:38.7000012Z 2025-12-04T09:18:38.7000669Z Finished profiler/test_cpp_thread 1/1 ... [2025-12-04 09:18:38.699564][1565.11836404], took 0.08min 2025-12-04T09:18:38.7140296Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_cpp_thread/profiler.test_cpp_thread-5c159244f1f66b6b.xml 2025-12-04T09:18:38.7385689Z Running test_ops_gradients 1/4 ... [2025-12-04 09:18:38.738367][1565.157168581] 2025-12-04T09:18:38.7386125Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:38.7388785Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_gradients.py', '-m', 'serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:18:38.738638] 2025-12-04T09:18:50.5639809Z 2025-12-04T09:18:50.5640739Z test_ops_gradients 1/4 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_1.4_ce81b319078e03a7_.log 2025-12-04T09:18:50.5641474Z Running 0 items in this shard: 2025-12-04T09:18:50.5641652Z 2025-12-04T09:18:50.5641899Z Finished test_ops_gradients 1/4 ... [2025-12-04 09:18:50.563749][1576.982548677], took 0.20min 2025-12-04T09:18:50.5782863Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-48b6ddb93e1d7db1.xml 2025-12-04T09:18:50.6450457Z Running test_linalg 1/1 ... [2025-12-04 09:18:50.644805][1577.06360676] 2025-12-04T09:18:50.6451002Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:50.6453744Z 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 09:18:50.645082] 2025-12-04T09:18:56.1208024Z 2025-12-04T09:18:56.1208721Z test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_linalg_1.1_d582009828a48e89_.log 2025-12-04T09:18:56.1209389Z Running 0 items in this shard: 2025-12-04T09:18:56.1209566Z 2025-12-04T09:18:56.1209793Z Finished test_linalg 1/1 ... [2025-12-04 09:18:56.120554][1582.539354024], took 0.09min 2025-12-04T09:18:56.1351592Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_linalg/test_linalg-cac455bc04f3679e.xml 2025-12-04T09:18:56.1663170Z Running test_functionalization_of_rng_ops 1/1 ... [2025-12-04 09:18:56.166098][1582.584898893] 2025-12-04T09:18:56.1663640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:56.1666496Z 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 09:18:56.166378] 2025-12-04T09:18:59.5851621Z 2025-12-04T09:18:59.5852565Z 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_360b5e08f62c5927_.log 2025-12-04T09:18:59.5853385Z Running 0 items in this shard: 2025-12-04T09:18:59.5853566Z 2025-12-04T09:18:59.5853861Z Finished test_functionalization_of_rng_ops 1/1 ... [2025-12-04 09:18:59.584924][1586.00372358], took 0.06min 2025-12-04T09:18:59.5996858Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functionalization_of_rng_ops/test_functionalization_of_rng_ops-b0ea15a5f66deb9e.xml 2025-12-04T09:18:59.6246941Z Running test_fx_reinplace_pass 1/1 ... [2025-12-04 09:18:59.624473][1586.043273466] 2025-12-04T09:18:59.6247364Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:18:59.6250091Z 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 09:18:59.624746] 2025-12-04T09:19:02.3680639Z 2025-12-04T09:19:02.3682007Z 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_59fb2db5a119b0fd_.log 2025-12-04T09:19:02.3682751Z Running 0 items in this shard: 2025-12-04T09:19:02.3682933Z 2025-12-04T09:19:02.3683201Z Finished test_fx_reinplace_pass 1/1 ... [2025-12-04 09:19:02.367829][1588.786629155], took 0.05min 2025-12-04T09:19:02.3827146Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx_reinplace_pass/test_fx_reinplace_pass-c2dbcc019a6719f2.xml 2025-12-04T09:19:02.4066540Z Running functorch/test_control_flow 1/4 ... [2025-12-04 09:19:02.406403][1588.825205045] 2025-12-04T09:19:02.4067011Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:02.4069532Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_control_flow.py', '-m', 'serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:02.406678] 2025-12-04T09:19:08.6726103Z 2025-12-04T09:19:08.6726985Z functorch/test_control_flow 1/4 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_control_flow_1.4_afaa4c15220f4d97_.log 2025-12-04T09:19:08.6727756Z Running 0 items in this shard: 2025-12-04T09:19:08.6727928Z 2025-12-04T09:19:08.6728213Z Finished functorch/test_control_flow 1/4 ... [2025-12-04 09:19:08.672376][1595.091175358], took 0.10min 2025-12-04T09:19:08.6872164Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_control_flow/functorch.test_control_flow-72bdf9b6fb972aed.xml 2025-12-04T09:19:08.7591478Z Running nn/test_packed_sequence 1/1 ... [2025-12-04 09:19:08.758908][1595.17770823] 2025-12-04T09:19:08.7592050Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:08.7594857Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_packed_sequence.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:08.759191] 2025-12-04T09:19:11.5331269Z 2025-12-04T09:19:11.5332089Z nn/test_packed_sequence 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_packed_sequence_1.1_283d7181f4f6be7f_.log 2025-12-04T09:19:11.5332808Z Running 0 items in this shard: 2025-12-04T09:19:11.5332982Z 2025-12-04T09:19:11.5333248Z Finished nn/test_packed_sequence 1/1 ... [2025-12-04 09:19:11.532912][1597.951711718], took 0.05min 2025-12-04T09:19:11.5481100Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_packed_sequence/nn.test_packed_sequence-db16eccde3a8d2f1.xml 2025-12-04T09:19:11.5710265Z Running test_numa_binding 1/1 ... [2025-12-04 09:19:11.570786][1597.989587735] 2025-12-04T09:19:11.5710759Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:11.5713722Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numa_binding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:11.571057] 2025-12-04T09:19:14.3656855Z 2025-12-04T09:19:14.3657664Z test_numa_binding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numa_binding_1.1_e9d8578d90e85cc8_.log 2025-12-04T09:19:14.3658451Z Running 0 items in this shard: 2025-12-04T09:19:14.3658632Z 2025-12-04T09:19:14.3658868Z Finished test_numa_binding 1/1 ... [2025-12-04 09:19:14.365451][1600.784250776], took 0.05min 2025-12-04T09:19:14.3807197Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numa_binding/test_numa_binding-5796254519df9a51.xml 2025-12-04T09:19:14.4056046Z Running test_pruning_op 1/1 ... [2025-12-04 09:19:14.405368][1600.82417013] 2025-12-04T09:19:14.4056477Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:14.4059154Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_pruning_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 09:19:14.405645] 2025-12-04T09:19:17.1926763Z 2025-12-04T09:19:17.1927555Z test_pruning_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pruning_op_1.1_298777e30d67049b_.log 2025-12-04T09:19:17.1928213Z Running 0 items in this shard: 2025-12-04T09:19:17.1928424Z 2025-12-04T09:19:17.1928655Z Finished test_pruning_op 1/1 ... [2025-12-04 09:19:17.192478][1603.611277695], took 0.05min 2025-12-04T09:19:17.2079857Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_pruning_op/test_pruning_op-09421cd388c1edfe.xml 2025-12-04T09:19:17.2377988Z Running test_jit_fuser_te 1/1 ... [2025-12-04 09:19:17.237608][1603.656409734] 2025-12-04T09:19:17.2378499Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:17.2381559Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_fuser_te.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:17.237894] 2025-12-04T09:19:32.2667292Z 2025-12-04T09:19:32.2668078Z test_jit_fuser_te 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_fuser_te_1.1_6dd923dfc1b02d32_.log 2025-12-04T09:19:32.2668797Z Running 0 items in this shard: 2025-12-04T09:19:32.2668981Z 2025-12-04T09:19:32.2669229Z Finished test_jit_fuser_te 1/1 ... [2025-12-04 09:19:32.266492][1618.685291844], took 0.25min 2025-12-04T09:19:32.2821168Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_fuser_te/test_jit_fuser_te-ab1a862cf4ed9c99.xml 2025-12-04T09:19:32.3516092Z Running test_logging 1/1 ... [2025-12-04 09:19:32.351388][1618.770188971] 2025-12-04T09:19:32.3516488Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:32.3519192Z 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 09:19:32.351667] 2025-12-04T09:19:35.0855100Z 2025-12-04T09:19:35.0855902Z test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_logging_1.1_a157d423697720ed_.log 2025-12-04T09:19:35.0856538Z Running 0 items in this shard: 2025-12-04T09:19:35.0856723Z 2025-12-04T09:19:35.0856956Z Finished test_logging 1/1 ... [2025-12-04 09:19:35.085311][1621.504110417], took 0.05min 2025-12-04T09:19:35.1008969Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_logging/test_logging-27e3307c420f7f47.xml 2025-12-04T09:19:35.1265925Z Running nn/test_lazy_modules 1/1 ... [2025-12-04 09:19:35.126387][1621.545188501] 2025-12-04T09:19:35.1266358Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:35.1269202Z 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 09:19:35.126667] 2025-12-04T09:19:38.2734569Z 2025-12-04T09:19:38.2735372Z 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_6ff025efe171cf65_.log 2025-12-04T09:19:38.2736452Z Running 0 items in this shard: 2025-12-04T09:19:38.2736650Z 2025-12-04T09:19:38.2736896Z Finished nn/test_lazy_modules 1/1 ... [2025-12-04 09:19:38.273245][1624.692045389], took 0.05min 2025-12-04T09:19:38.2890102Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_lazy_modules/nn.test_lazy_modules-940f248a54ab6377.xml 2025-12-04T09:19:38.3169413Z Running nn/test_pruning 1/1 ... [2025-12-04 09:19:38.316752][1624.735553217] 2025-12-04T09:19:38.3169810Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:38.3172744Z 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 09:19:38.317025] 2025-12-04T09:19:41.4256864Z 2025-12-04T09:19:41.4257653Z nn/test_pruning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pruning_1.1_8a9e2010012116bd_.log 2025-12-04T09:19:41.4258460Z Running 0 items in this shard: 2025-12-04T09:19:41.4258649Z 2025-12-04T09:19:41.4258888Z Finished nn/test_pruning 1/1 ... [2025-12-04 09:19:41.425462][1627.84426232], took 0.05min 2025-12-04T09:19:41.4411102Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pruning/nn.test_pruning-35472f717e39d6c3.xml 2025-12-04T09:19:41.4632127Z Running test_monitor 1/1 ... [2025-12-04 09:19:41.463004][1627.881805398] 2025-12-04T09:19:41.4632538Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:41.4635233Z 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 09:19:41.463283] 2025-12-04T09:19:44.2490568Z 2025-12-04T09:19:44.2491332Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_1e19b1a58a351de5_.log 2025-12-04T09:19:44.2491981Z Running 0 items in this shard: 2025-12-04T09:19:44.2492156Z 2025-12-04T09:19:44.2492380Z Finished test_monitor 1/1 ... [2025-12-04 09:19:44.248827][1630.667627295], took 0.05min 2025-12-04T09:19:44.2652105Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_monitor/test_monitor-676aeb729bfb686a.xml 2025-12-04T09:19:44.2900493Z Running test_cuda_sanitizer 1/1 ... [2025-12-04 09:19:44.289827][1630.708628236] 2025-12-04T09:19:44.2900922Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:44.2903646Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_sanitizer.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:19:44.290097] 2025-12-04T09:19:47.1040921Z 2025-12-04T09:19:47.1041724Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_b2aec3d6e99b0d31_.log 2025-12-04T09:19:47.1042426Z Running 0 items in this shard: 2025-12-04T09:19:47.1042595Z 2025-12-04T09:19:47.1042847Z Finished test_cuda_sanitizer 1/1 ... [2025-12-04 09:19:47.103903][1633.522702864], took 0.05min 2025-12-04T09:19:47.1201364Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-ced7539ab6dc6ec5.xml 2025-12-04T09:19:47.1433560Z Running test_bundled_inputs 1/1 ... [2025-12-04 09:19:47.143141][1633.561942771] 2025-12-04T09:19:47.1434342Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:47.1437107Z 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 09:19:47.143426] 2025-12-04T09:19:49.9011342Z 2025-12-04T09:19:49.9012380Z test_bundled_inputs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_bundled_inputs_1.1_9eca8ef5ce5cc17d_.log 2025-12-04T09:19:49.9013098Z Running 0 items in this shard: 2025-12-04T09:19:49.9013273Z 2025-12-04T09:19:49.9013521Z Finished test_bundled_inputs 1/1 ... [2025-12-04 09:19:49.900926][1636.319726179], took 0.05min 2025-12-04T09:19:49.9172049Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_bundled_inputs/test_bundled_inputs-6e12834b118869f7.xml 2025-12-04T09:19:49.9426839Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 09:19:49.942410][1636.361211053] 2025-12-04T09:19:49.9427358Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:49.9429841Z 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 09:19:49.942696] 2025-12-04T09:19:53.1596565Z 2025-12-04T09:19:53.1597559Z 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_c42fbf803d0d8c1b_.log 2025-12-04T09:19:53.1598404Z Running 0 items in this shard: 2025-12-04T09:19:53.1598579Z 2025-12-04T09:19:53.1598913Z Finished torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 09:19:53.159425][1639.578225839], took 0.05min 2025-12-04T09:19:53.1760024Z 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-b0737746c05a7b55.xml 2025-12-04T09:19:53.2068147Z Running torch_np/numpy_tests/core/test_multiarray 1/1 ... [2025-12-04 09:19:53.206582][1639.625383264] 2025-12-04T09:19:53.2068660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:53.2071071Z 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 09:19:53.206856] 2025-12-04T09:19:57.3471524Z 2025-12-04T09:19:57.3472492Z 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_f49067b654f4bf9d_.log 2025-12-04T09:19:57.3473366Z Running 0 items in this shard: 2025-12-04T09:19:57.3473546Z 2025-12-04T09:19:57.3473902Z Finished torch_np/numpy_tests/core/test_multiarray 1/1 ... [2025-12-04 09:19:57.346947][1643.765747042], took 0.07min 2025-12-04T09:19:57.3636289Z 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-4b3c28cf64cc40ef.xml 2025-12-04T09:19:57.3889326Z Running test_itt 1/1 ... [2025-12-04 09:19:57.388724][1643.807525303] 2025-12-04T09:19:57.3889700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:19:57.3892604Z 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 09:19:57.388999] 2025-12-04T09:20:00.1390857Z 2025-12-04T09:20:00.1391688Z test_itt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_itt_1.1_610b39e2514017a9_.log 2025-12-04T09:20:00.1392620Z Running 0 items in this shard: 2025-12-04T09:20:00.1392812Z 2025-12-04T09:20:00.1393015Z Finished test_itt 1/1 ... [2025-12-04 09:20:00.138858][1646.557657882], took 0.05min 2025-12-04T09:20:00.1556511Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_itt/test_itt-81cc315396b4525d.xml 2025-12-04T09:20:00.1862276Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-12-04 09:20:00.186027][1646.604828007] 2025-12-04T09:20:00.1862792Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:00.1865569Z 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 09:20:00.186304] 2025-12-04T09:20:03.7743798Z 2025-12-04T09:20:03.7744957Z 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_ef248c177926d10d_.log 2025-12-04T09:20:03.7745825Z Running 0 items in this shard: 2025-12-04T09:20:03.7746008Z 2025-12-04T09:20:03.7746346Z Finished torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-12-04 09:20:03.774159][1650.192959267], took 0.06min 2025-12-04T09:20:03.7912722Z 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-983395aad483656b.xml 2025-12-04T09:20:03.8182510Z Running test_masked 1/1 ... [2025-12-04 09:20:03.818032][1650.236833486] 2025-12-04T09:20:03.8182919Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:03.8185697Z 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 09:20:03.818310] 2025-12-04T09:20:08.1538301Z 2025-12-04T09:20:08.1539073Z test_masked 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_masked_1.1_95232a23a3fd3704_.log 2025-12-04T09:20:08.1539682Z Running 0 items in this shard: 2025-12-04T09:20:08.1539870Z 2025-12-04T09:20:08.1540082Z Finished test_masked 1/1 ... [2025-12-04 09:20:08.153613][1654.572413715], took 0.07min 2025-12-04T09:20:08.1707151Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_masked/test_masked-92c5b8536bd486c3.xml 2025-12-04T09:20:08.2023345Z Running test_sympy_utils 1/1 ... [2025-12-04 09:20:08.202103][1654.620904113] 2025-12-04T09:20:08.2023787Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:08.2026381Z 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 09:20:08.202368] 2025-12-04T09:20:11.4917386Z 2025-12-04T09:20:11.4918181Z test_sympy_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sympy_utils_1.1_f61032b9a78c921f_.log 2025-12-04T09:20:11.4918829Z Running 0 items in this shard: 2025-12-04T09:20:11.4919001Z 2025-12-04T09:20:11.4919244Z Finished test_sympy_utils 1/1 ... [2025-12-04 09:20:11.491531][1657.910331334], took 0.05min 2025-12-04T09:20:11.5088703Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sympy_utils/test_sympy_utils-8d43907cd13103ac.xml 2025-12-04T09:20:11.5386827Z Running test_subclass 1/1 ... [2025-12-04 09:20:11.538453][1657.957254197] 2025-12-04T09:20:11.5387244Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:11.5390232Z 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 09:20:11.538730] 2025-12-04T09:20:14.4760338Z 2025-12-04T09:20:14.4761122Z test_subclass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_subclass_1.1_92f8671671e14fea_.log 2025-12-04T09:20:14.4761767Z Running 0 items in this shard: 2025-12-04T09:20:14.4761937Z 2025-12-04T09:20:14.4762163Z Finished test_subclass 1/1 ... [2025-12-04 09:20:14.475830][1660.894629771], took 0.05min 2025-12-04T09:20:14.4932662Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_subclass/test_subclass-320fb2d4b4e9fe07.xml 2025-12-04T09:20:14.5188714Z Running test_import_stats 1/1 ... [2025-12-04 09:20:14.518655][1660.93745544] 2025-12-04T09:20:14.5189163Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:14.5191948Z 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 09:20:14.518930] 2025-12-04T09:20:17.2850918Z 2025-12-04T09:20:17.2851655Z test_import_stats 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_import_stats_1.1_a0d100c981028b67_.log 2025-12-04T09:20:17.2852216Z Running 0 items in this shard: 2025-12-04T09:20:17.2852369Z 2025-12-04T09:20:17.2852568Z Finished test_import_stats 1/1 ... [2025-12-04 09:20:17.284904][1663.703703442], took 0.05min 2025-12-04T09:20:17.3025401Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_import_stats/test_import_stats-836d43957373aec9.xml 2025-12-04T09:20:17.3272958Z Running functorch/test_vmap_registrations 1/1 ... [2025-12-04 09:20:17.327059][1663.74586009] 2025-12-04T09:20:17.3273445Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:17.3276118Z 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 09:20:17.327338] 2025-12-04T09:20:22.5565427Z 2025-12-04T09:20:22.5566250Z 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_17ac758a8d62ee7a_.log 2025-12-04T09:20:22.5566932Z Running 0 items in this shard: 2025-12-04T09:20:22.5567078Z 2025-12-04T09:20:22.5567340Z Finished functorch/test_vmap_registrations 1/1 ... [2025-12-04 09:20:22.556307][1668.975107088], took 0.09min 2025-12-04T09:20:22.5740434Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap_registrations/functorch.test_vmap_registrations-9649a825210a54de.xml 2025-12-04T09:20:22.5995599Z Running nn/test_parametrization 1/1 ... [2025-12-04 09:20:22.599355][1669.018156149] 2025-12-04T09:20:22.5996152Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:22.5998839Z 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 09:20:22.599634] 2025-12-04T09:20:25.9169584Z 2025-12-04T09:20:25.9170886Z nn/test_parametrization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_parametrization_1.1_2541d96ac41dcfca_.log 2025-12-04T09:20:25.9171611Z Running 0 items in this shard: 2025-12-04T09:20:25.9171789Z 2025-12-04T09:20:25.9172239Z Finished nn/test_parametrization 1/1 ... [2025-12-04 09:20:25.916726][1672.335526368], took 0.06min 2025-12-04T09:20:25.9344869Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_parametrization/nn.test_parametrization-60813a2fc436bd7f.xml 2025-12-04T09:20:25.9562724Z Running test_mkldnn_fusion 1/1 ... [2025-12-04 09:20:25.956072][1672.374873475] 2025-12-04T09:20:25.9563141Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:25.9566224Z 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 09:20:25.956349] 2025-12-04T09:20:28.7397423Z 2025-12-04T09:20:28.7398169Z test_mkldnn_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_fusion_1.1_ba0a8a93f6fa7cb0_.log 2025-12-04T09:20:28.7398727Z Running 0 items in this shard: 2025-12-04T09:20:28.7398868Z 2025-12-04T09:20:28.7399059Z Finished test_mkldnn_fusion 1/1 ... [2025-12-04 09:20:28.739529][1675.158329867], took 0.05min 2025-12-04T09:20:28.7574791Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mkldnn_fusion/test_mkldnn_fusion-766e17f4e16b9ef1.xml 2025-12-04T09:20:28.7824833Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:20:28.782265][1675.201066614] 2025-12-04T09:20:28.7825258Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:28.7828152Z 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 09:20:28.782546] 2025-12-04T09:20:32.7379369Z 2025-12-04T09:20:32.7380256Z 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_8ff35792fde38d9d_.log 2025-12-04T09:20:32.7380971Z Running 0 items in this shard: 2025-12-04T09:20:32.7381154Z 2025-12-04T09:20:32.7381417Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:20:32.737668][1679.15646821], took 0.07min 2025-12-04T09:20:32.7557141Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-970a7951775628ed.xml 2025-12-04T09:20:32.7806756Z Running test_dynamic_shapes 1/1 ... [2025-12-04 09:20:32.780459][1679.199260159] 2025-12-04T09:20:32.7807203Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:32.7810006Z 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 09:20:32.780741] 2025-12-04T09:20:36.3324515Z 2025-12-04T09:20:36.3325336Z test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dynamic_shapes_1.1_0efb4b46f2b2a022_.log 2025-12-04T09:20:36.3326036Z Running 0 items in this shard: 2025-12-04T09:20:36.3326212Z 2025-12-04T09:20:36.3326463Z Finished test_dynamic_shapes 1/1 ... [2025-12-04 09:20:36.332233][1682.751032706], took 0.06min 2025-12-04T09:20:36.3500312Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dynamic_shapes/test_dynamic_shapes-8d6f3e409c374071.xml 2025-12-04T09:20:36.3750211Z Running complex_tensor/test_complex_tensor 1/3 ... [2025-12-04 09:20:36.374801][1682.793602553] 2025-12-04T09:20:36.3751045Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:36.3753480Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'complex_tensor/test_complex_tensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:36.375081] 2025-12-04T09:20:41.2423316Z 2025-12-04T09:20:41.2424238Z complex_tensor/test_complex_tensor 1/3 was successful, full logs can be found in artifacts with path test/test-reports/complex_tensor.test_complex_tensor_1.3_7ee6fb2f7185664e_.log 2025-12-04T09:20:41.2425056Z Running 0 items in this shard: 2025-12-04T09:20:41.2425233Z 2025-12-04T09:20:41.2425557Z Finished complex_tensor/test_complex_tensor 1/3 ... [2025-12-04 09:20:41.242107][1687.66090695], took 0.08min 2025-12-04T09:20:41.2607309Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/complex_tensor.test_complex_tensor/complex_tensor.test_complex_tensor-29624e80fbe63b5e.xml 2025-12-04T09:20:41.2856552Z Running optim/test_optim 1/1 ... [2025-12-04 09:20:41.285437][1687.704238484] 2025-12-04T09:20:41.2856994Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:41.2860124Z 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 09:20:41.285723] 2025-12-04T09:20:43.9422854Z 2025-12-04T09:20:43.9423650Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_0c46f85c73efd5ef_.log 2025-12-04T09:20:43.9424226Z 2025-12-04T09:20:43.9424459Z Finished optim/test_optim 1/1 ... [2025-12-04 09:20:43.942046][1690.360847], took 0.04min 2025-12-04T09:20:43.9604408Z Running functorch/test_ops 3/9 ... [2025-12-04 09:20:43.960225][1690.379027037] 2025-12-04T09:20:43.9604847Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:20:43.9607662Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=3', '--num-shards=9', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:20:43.960522] 2025-12-04T09:21:02.1838532Z 2025-12-04T09:21:02.1839344Z functorch/test_ops 3/9 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_3.9_efd558cd8b53628e_.log 2025-12-04T09:21:02.1840043Z Running 0 items in this shard: 2025-12-04T09:21:02.1840212Z 2025-12-04T09:21:02.1840461Z Finished functorch/test_ops 3/9 ... [2025-12-04 09:21:02.183608][1708.602407429], took 0.30min 2025-12-04T09:21:02.2021516Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-efe837030046b119.xml 2025-12-04T09:21:02.2768103Z Running functorch/test_ops 9/9 ... [2025-12-04 09:21:02.276576][1708.695377263] 2025-12-04T09:21:02.2768603Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:02.2771312Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=9', '--num-shards=9', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:02.276862] 2025-12-04T09:21:20.5268220Z 2025-12-04T09:21:20.5269055Z functorch/test_ops 9/9 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_9.9_c58103d2ed4771b0_.log 2025-12-04T09:21:20.5269766Z Running 0 items in this shard: 2025-12-04T09:21:20.5269951Z 2025-12-04T09:21:20.5270209Z Finished functorch/test_ops 9/9 ... [2025-12-04 09:21:20.526575][1726.945374949], took 0.30min 2025-12-04T09:21:20.5455147Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-2a36b724a4be99c2.xml 2025-12-04T09:21:20.6226653Z Running torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-12-04 09:21:20.622383][1727.041185019] 2025-12-04T09:21:20.6228362Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:20.6229539Z 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 09:21:20.622664] 2025-12-04T09:21:23.5044227Z 2025-12-04T09:21:23.5045063Z 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_00f239ba92f76b08_.log 2025-12-04T09:21:23.5045800Z Running 0 items in this shard: 2025-12-04T09:21:23.5045942Z 2025-12-04T09:21:23.5046216Z Finished torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-12-04 09:21:23.504219][1729.923018689], took 0.05min 2025-12-04T09:21:23.5228398Z 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_-63eb96c4340b9890.xml 2025-12-04T09:21:23.5470418Z Running torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-12-04 09:21:23.546807][1729.965608368] 2025-12-04T09:21:23.5470925Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:23.5473875Z 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 09:21:23.547096] 2025-12-04T09:21:26.3307379Z 2025-12-04T09:21:26.3308386Z 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_23bdd2d62181075b_.log 2025-12-04T09:21:26.3309252Z Running 0 items in this shard: 2025-12-04T09:21:26.3309432Z 2025-12-04T09:21:26.3309761Z Finished torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-12-04 09:21:26.330522][1732.74932183], took 0.05min 2025-12-04T09:21:26.3493816Z 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-ed0039ca7c68b6cb.xml 2025-12-04T09:21:26.3732688Z Running torch_np/test_ndarray_methods 1/1 ... [2025-12-04 09:21:26.373046][1732.791847915] 2025-12-04T09:21:26.3733167Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:26.3735914Z 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 09:21:26.373322] 2025-12-04T09:21:29.6360933Z 2025-12-04T09:21:29.6361801Z 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_edda030db260a945_.log 2025-12-04T09:21:29.6362577Z Running 0 items in this shard: 2025-12-04T09:21:29.6362747Z 2025-12-04T09:21:29.6363027Z Finished torch_np/test_ndarray_methods 1/1 ... [2025-12-04 09:21:29.635850][1736.054649404], took 0.05min 2025-12-04T09:21:29.6548812Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_ndarray_methods/torch_np.test_ndarray_methods-e49e437887b1a3cd.xml 2025-12-04T09:21:29.6810898Z Running test_view_ops 1/1 ... [2025-12-04 09:21:29.680885][1736.099685958] 2025-12-04T09:21:29.6811678Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:29.6814620Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_view_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:29.681161] 2025-12-04T09:21:33.3137779Z 2025-12-04T09:21:33.3138581Z test_view_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_view_ops_1.1_c11bd2e31e5a115e_.log 2025-12-04T09:21:33.3139095Z Running 0 items in this shard: 2025-12-04T09:21:33.3139236Z 2025-12-04T09:21:33.3139424Z Finished test_view_ops 1/1 ... [2025-12-04 09:21:33.313539][1739.732338601], took 0.06min 2025-12-04T09:21:33.3327676Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_view_ops/test_view_ops-cb8806b9791efc72.xml 2025-12-04T09:21:33.3572544Z Running test_type_info 1/1 ... [2025-12-04 09:21:33.357020][1739.775821352] 2025-12-04T09:21:33.3572942Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:33.3575680Z 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 09:21:33.357300] 2025-12-04T09:21:36.1185828Z 2025-12-04T09:21:36.1187019Z test_type_info 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_info_1.1_355c4d81cea98728_.log 2025-12-04T09:21:36.1188232Z Running 0 items in this shard: 2025-12-04T09:21:36.1188595Z 2025-12-04T09:21:36.1188996Z Finished test_type_info 1/1 ... [2025-12-04 09:21:36.118180][1742.5369774], took 0.05min 2025-12-04T09:21:36.1377944Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_info/test_type_info-932d5cd9e5ce48d6.xml 2025-12-04T09:21:36.1658100Z Running functorch/test_aotdispatch 1/1 ... [2025-12-04 09:21:36.165589][1742.584389996] 2025-12-04T09:21:36.1658564Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:36.1661349Z 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 09:21:36.165882] 2025-12-04T09:21:41.7727886Z 2025-12-04T09:21:41.7728784Z functorch/test_aotdispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_1.1_eca73d7656c65c6b_.log 2025-12-04T09:21:41.7729525Z Running 0 items in this shard: 2025-12-04T09:21:41.7729709Z 2025-12-04T09:21:41.7729992Z Finished functorch/test_aotdispatch 1/1 ... [2025-12-04 09:21:41.772529][1748.191328924], took 0.09min 2025-12-04T09:21:41.7922111Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-14172eaf3de5f6fe.xml 2025-12-04T09:21:41.8187810Z Running torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-12-04 09:21:41.818543][1748.237344345] 2025-12-04T09:21:41.8188298Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:41.8191277Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dlpack.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:41.818830] 2025-12-04T09:21:44.6098148Z 2025-12-04T09:21:44.6099135Z torch_np/numpy_tests/core/test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dlpack_1.1_11ea721feec75df4_.log 2025-12-04T09:21:44.6100353Z Running 0 items in this shard: 2025-12-04T09:21:44.6100524Z 2025-12-04T09:21:44.6101009Z Finished torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-12-04 09:21:44.609569][1751.028368536], took 0.05min 2025-12-04T09:21:44.6292348Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_dlpack/torch_np.numpy_tests.core.test_dlpack-4d7d93d23dd0deed.xml 2025-12-04T09:21:44.6519302Z Running test_scatter_gather_ops 1/1 ... [2025-12-04 09:21:44.651739][1751.070540236] 2025-12-04T09:21:44.6519762Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:44.6522848Z 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 09:21:44.652017] 2025-12-04T09:21:47.9817438Z 2025-12-04T09:21:47.9818371Z 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_cc96fc52a574b4e1_.log 2025-12-04T09:21:47.9819114Z Running 0 items in this shard: 2025-12-04T09:21:47.9819288Z 2025-12-04T09:21:47.9819556Z Finished test_scatter_gather_ops 1/1 ... [2025-12-04 09:21:47.981511][1754.400310727], took 0.06min 2025-12-04T09:21:48.0013087Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_scatter_gather_ops/test_scatter_gather_ops-cf172e23f8e550b7.xml 2025-12-04T09:21:48.0243212Z Running test_cuda_multigpu 1/1 ... [2025-12-04 09:21:48.024093][1754.442893765] 2025-12-04T09:21:48.0243657Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:48.0246650Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_multigpu.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:21:48.024377] 2025-12-04T09:21:51.1424398Z 2025-12-04T09:21:51.1425263Z test_cuda_multigpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_multigpu_1.1_79d017530aaf8d86_.log 2025-12-04T09:21:51.1425973Z Running 0 items in this shard: 2025-12-04T09:21:51.1426149Z 2025-12-04T09:21:51.1426402Z Finished test_cuda_multigpu 1/1 ... [2025-12-04 09:21:51.142188][1757.560988441], took 0.05min 2025-12-04T09:21:51.1620530Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_multigpu/test_cuda_multigpu-b20fbdedd8543e09.xml 2025-12-04T09:21:51.1876229Z Running functorch/test_vmap 1/1 ... [2025-12-04 09:21:51.187385][1757.606185693] 2025-12-04T09:21:51.1876680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:21:51.1879131Z 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 09:21:51.187668] 2025-12-04T09:21:58.7854499Z 2025-12-04T09:21:58.7855341Z functorch/test_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.1_9e0719c827b17301_.log 2025-12-04T09:21:58.7864373Z Running 0 items in this shard: 2025-12-04T09:21:58.7864613Z 2025-12-04T09:21:58.7864839Z Finished functorch/test_vmap 1/1 ... [2025-12-04 09:21:58.785215][1765.204015633], took 0.13min 2025-12-04T09:21:58.8051658Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap/functorch.test_vmap-36e457006a759894.xml 2025-12-04T09:22:01.6491807Z Running inductor/test_aot_inductor 2/4 ... [2025-12-04 09:22:01.648674][1768.067471577] 2025-12-04T09:22:01.6492992Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:01.6494677Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor.py', '-m', 'not serial', '--shard-id=2', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:01.649103] 2025-12-04T09:22:01.8059788Z Running inductor/test_cuda_select_algorithm 1/1 ... [2025-12-04 09:22:01.805564][1768.224362589] 2025-12-04T09:22:01.8060448Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:01.8063156Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cuda_select_algorithm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:01.805971] 2025-12-04T09:22:01.8317460Z Running inductor/test_compile_subprocess 1/2 ... [2025-12-04 09:22:01.831398][1768.250195738] 2025-12-04T09:22:01.8317982Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:01.8321093Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compile_subprocess.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 09:22:01.831788] 2025-12-04T09:22:09.4646136Z 2025-12-04T09:22:09.4647379Z inductor/test_cuda_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cuda_select_algorithm_1.1_c2c4163bc67fc941_.log 2025-12-04T09:22:09.4690289Z Running 50 items in this shard: test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T09:22:09.4732295Z 2025-12-04T09:22:09.4732787Z Finished inductor/test_cuda_select_algorithm 1/1 ... [2025-12-04 09:22:09.464675][1775.883469583], took 0.13min 2025-12-04T09:22:09.4734387Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-0cd4a8cdb71351f5.xml 2025-12-04T09:22:13.2060991Z Running inductor/test_compile_subprocess 2/2 ... [2025-12-04 09:22:13.205609][1779.624405904] 2025-12-04T09:22:13.2061820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:13.2064151Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compile_subprocess.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 09:22:13.206041] 2025-12-04T09:22:40.5523526Z 2025-12-04T09:22:40.5527354Z inductor/test_compile_subprocess 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_subprocess_1.2_e8c8156c9aa4bf1d_.log 2025-12-04T09:22:40.5588939Z Running 150 items in this shard: test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_default_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_view_dtype_cuda 2025-12-04T09:22:40.5649086Z 2025-12-04T09:22:40.5649525Z Finished inductor/test_compile_subprocess 1/2 ... [2025-12-04 09:22:40.552519][1806.971318621], took 0.65min 2025-12-04T09:22:40.5650955Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-0a2ba9b42cc53b04.xml 2025-12-04T09:22:44.1889091Z Running export/test_retraceability 1/1 ... [2025-12-04 09:22:44.188469][1810.6072664] 2025-12-04T09:22:44.1889591Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:44.1891593Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_retraceability.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:44.188856] 2025-12-04T09:22:51.7084175Z 2025-12-04T09:22:51.7085474Z export/test_retraceability 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_retraceability_1.1_c341cbe69315bf24_.log 2025-12-04T09:22:51.7086290Z Running 0 items in this shard: 2025-12-04T09:22:51.7086476Z 2025-12-04T09:22:51.7086759Z Finished export/test_retraceability 1/1 ... [2025-12-04 09:22:51.708332][1818.127127878], took 0.13min 2025-12-04T09:22:51.7148019Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_retraceability/export.test_retraceability-97e8eb0f8ad03827.xml 2025-12-04T09:22:55.2520451Z Running test_decomp 5/22 ... [2025-12-04 09:22:55.251434][1821.670231281] 2025-12-04T09:22:55.2521001Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:22:55.2522229Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=5', '--num-shards=22', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:22:55.251851] 2025-12-04T09:23:34.8804875Z 2025-12-04T09:23:34.8805883Z inductor/test_compile_subprocess 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_subprocess_2.2_21a0392e24d06344_.log 2025-12-04T09:23:34.8881756Z Running 300 items in this shard: test/inductor/test_compile_subprocess.py::GPUTests::test_dropout_deterministic_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_progressive, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_noop_slice_scatter_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_dropout_deterministic_cuda, 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test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_var_mean_tile_reduction_True_cuda 2025-12-04T09:23:34.8952040Z 2025-12-04T09:23:34.8952306Z Finished inductor/test_compile_subprocess 2/2 ... [2025-12-04 09:23:34.880972][1861.299767656], took 1.36min 2025-12-04T09:23:34.8953201Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-602ada6e7680a748.xml 2025-12-04T09:23:38.4274110Z Running test_decomp 7/22 ... [2025-12-04 09:23:38.426891][1864.845687646] 2025-12-04T09:23:38.4274580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:38.4277206Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=7', '--num-shards=22', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:38.427368] 2025-12-04T09:23:55.9833265Z 2025-12-04T09:23:55.9834118Z test_decomp 7/22 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_7.22_aeeb41ad93932828_.log 2025-12-04T09:23:55.9835199Z Running 0 items in this shard: 2025-12-04T09:23:55.9835379Z 2025-12-04T09:23:55.9835613Z Finished test_decomp 7/22 ... [2025-12-04 09:23:55.983118][1882.401917432], took 0.29min 2025-12-04T09:23:55.9902378Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-6add18a8307361a4.xml 2025-12-04T09:23:59.5027349Z Running test_decomp 11/22 ... [2025-12-04 09:23:59.502227][1885.921024366] 2025-12-04T09:23:59.5027835Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:23:59.5029288Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=11', '--num-shards=22', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:23:59.502620] 2025-12-04T09:29:36.8141683Z 2025-12-04T09:29:36.8142572Z PRINTING LOG FILE of test_decomp 11/22 (test/test-reports/test_decomp_11.22_422e700786a1c824_.log) 2025-12-04T09:29:36.8143975Z Test results will be stored in test-reports/python-pytest/test_decomp/test_decomp-20c95a5b7dfce896.xml 2025-12-04T09:29:36.8144942Z ============================= test session starts ============================== 2025-12-04T09:29:36.8145730Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T09:29:36.8146419Z cachedir: .pytest_cache 2025-12-04T09:29:36.8147158Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T09:29:36.8148007Z rootdir: /var/lib/jenkins/workspace 2025-12-04T09:29:36.8148399Z configfile: pytest.ini 2025-12-04T09:29:36.8149190Z 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 2025-12-04T09:29:36.8150072Z collecting ... collected 9010 items 2025-12-04T09:29:36.8150527Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T09:29:36.8173323Z Running 50 items in this shard: test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.8194723Z 2025-12-04T09:29:36.8195059Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 FAILED [1.7280s] [ 2%] 2025-12-04T09:29:36.8195932Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9453s] [ 2%] 2025-12-04T09:29:36.8197108Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 FAILED [1.2230s] [ 2%] 2025-12-04T09:29:36.8198209Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 FAILED [1.4005s] [ 2%] 2025-12-04T09:29:36.8199279Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9632s] [ 2%] 2025-12-04T09:29:36.8200339Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9427s] [ 2%] 2025-12-04T09:29:36.8201330Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 FAILED [1.2502s] [ 2%] 2025-12-04T09:29:36.8202274Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9554s] [ 2%] 2025-12-04T09:29:36.8203326Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9424s] [ 2%] 2025-12-04T09:29:36.8204493Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9607s] [ 2%] 2025-12-04T09:29:36.8205746Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [8.0092s] [ 2%] 2025-12-04T09:29:36.8206634Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 FAILED [1.4187s] [ 2%] 2025-12-04T09:29:36.8207632Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [8.0477s] [ 2%] 2025-12-04T09:29:36.8208384Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9843s] [ 2%] 2025-12-04T09:29:36.8209166Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9887s] [ 2%] 2025-12-04T09:29:36.8209894Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9770s] [ 2%] 2025-12-04T09:29:36.8210504Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9510s] [ 2%] 2025-12-04T09:29:36.8211105Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9907s] [ 2%] 2025-12-04T09:29:36.8211713Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 FAILED [1.4045s] [ 2%] 2025-12-04T09:29:36.8212605Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 FAILED [1.2285s] [ 2%] 2025-12-04T09:29:36.8213212Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [8.0048s] [ 2%] 2025-12-04T09:29:36.8213810Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [8.0086s] [ 2%] 2025-12-04T09:29:36.8214401Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9623s] [ 2%] 2025-12-04T09:29:36.8214992Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9586s] [ 2%] 2025-12-04T09:29:36.8215594Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 FAILED [1.4145s] [ 2%] 2025-12-04T09:29:36.8216202Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9714s] [ 2%] 2025-12-04T09:29:36.8216802Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9727s] [ 2%] 2025-12-04T09:29:36.8217390Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [8.0020s] [ 2%] 2025-12-04T09:29:36.8218094Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [8.0138s] [ 2%] 2025-12-04T09:29:36.8218715Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 FAILED [1.2665s] [ 2%] 2025-12-04T09:29:36.8219336Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [8.0151s] [ 2%] 2025-12-04T09:29:36.8219933Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9960s] [ 2%] 2025-12-04T09:29:36.8220530Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [8.0597s] [ 2%] 2025-12-04T09:29:36.8221128Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9500s] [ 2%] 2025-12-04T09:29:36.8221714Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 FAILED [1.2363s] [ 2%] 2025-12-04T09:29:36.8222308Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [8.0037s] [ 2%] 2025-12-04T09:29:36.8222906Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9876s] [ 2%] 2025-12-04T09:29:36.8223707Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 FAILED [1.2400s] [ 2%] 2025-12-04T09:29:36.8224416Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 FAILED [1.2646s] [ 2%] 2025-12-04T09:29:36.8225021Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9387s] [ 2%] 2025-12-04T09:29:36.8225619Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9983s] [ 2%] 2025-12-04T09:29:36.8226218Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [8.0052s] [ 2%] 2025-12-04T09:29:36.8226807Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [8.0626s] [ 2%] 2025-12-04T09:29:36.8227401Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9840s] [ 2%] 2025-12-04T09:29:36.8228010Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9804s] [ 2%] 2025-12-04T09:29:36.8228616Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9294s] [ 2%] 2025-12-04T09:29:36.8229206Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9486s] [ 2%] 2025-12-04T09:29:36.8229802Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [7.9953s] [ 2%] 2025-12-04T09:29:36.8230393Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [8.1677s] [ 2%] 2025-12-04T09:29:36.8230986Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 PASSED [8.1811s] [ 2%] 2025-12-04T09:29:36.8231323Z 2025-12-04T09:29:36.8231423Z =================================== FAILURES =================================== 2025-12-04T09:29:36.8231797Z __ TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 ___ 2025-12-04T09:29:36.8232158Z Traceback (most recent call last): 2025-12-04T09:29:36.8232677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper 2025-12-04T09:29:36.8233165Z return test(*args, **kwargs) 2025-12-04T09:29:36.8233633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn 2025-12-04T09:29:36.8234102Z return fn(self, *args, **kwargs) 2025-12-04T09:29:36.8234556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper 2025-12-04T09:29:36.8234989Z fn(*args, **kwargs) 2025-12-04T09:29:36.8235399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper 2025-12-04T09:29:36.8235840Z fn(*args, **kwargs) 2025-12-04T09:29:36.8236160Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 602, in test_comprehensive 2025-12-04T09:29:36.8236548Z self.do_cross_ref(device, dtype, op, run_all=True) 2025-12-04T09:29:36.8237030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8237475Z fn(*args, **kwargs) 2025-12-04T09:29:36.8237767Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 1011, in do_cross_ref 2025-12-04T09:29:36.8238110Z decomp_vjp_fn(cotangents) 2025-12-04T09:29:36.8238421Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 150, in wrapped 2025-12-04T09:29:36.8238734Z return _autograd_grad( 2025-12-04T09:29:36.8239057Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 118, in _autograd_grad 2025-12-04T09:29:36.8239426Z grad_inputs = torch.autograd.grad( 2025-12-04T09:29:36.8239828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 515, in grad 2025-12-04T09:29:36.8240335Z result = _engine_run_backward( 2025-12-04T09:29:36.8240765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T09:29:36.8241475Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T09:29:36.8242019Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 887, in __torch_dispatch__ 2025-12-04T09:29:36.8242368Z op_assert_ref( 2025-12-04T09:29:36.8242659Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 236, in op_assert_ref 2025-12-04T09:29:36.8242985Z raise RuntimeError( 2025-12-04T09:29:36.8243581Z RuntimeError: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8244202Z atol = 0.005 2025-12-04T09:29:36.8244481Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8244783Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8245042Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8245307Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8245558Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8245816Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8246057Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8246302Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8246540Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8246796Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8247037Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8247286Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8247433Z 2025-12-04T09:29:36.8247540Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8247790Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8248036Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8248289Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8248525Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8248766Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8249004Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8249252Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8249486Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8249728Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8249968Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8250219Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8250356Z 2025-12-04T09:29:36.8250469Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8250720Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8250960Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8251210Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8251439Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8251689Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8251924Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8252163Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8252400Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8252652Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8252890Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8253248Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8253393Z 2025-12-04T09:29:36.8253398Z 2025-12-04T09:29:36.8253503Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8253829Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8254069Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8254324Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8254566Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8254820Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8255050Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8255299Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8255534Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8255778Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8256012Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8256269Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8256399Z 2025-12-04T09:29:36.8256508Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8256756Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8257001Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8257256Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8257482Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8257727Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8257961Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8258328Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8258564Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8258810Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8259054Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8259299Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8259447Z 2025-12-04T09:29:36.8259560Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8259810Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8260038Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8260287Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8260521Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8260769Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8260999Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8261246Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8261481Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8261732Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8261984Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8262244Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8262380Z 2025-12-04T09:29:36.8262389Z 2025-12-04T09:29:36.8262500Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8262746Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8262981Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8263229Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8263457Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8263708Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8263953Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8264201Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8264446Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8264786Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8265026Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8265345Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8265492Z 2025-12-04T09:29:36.8265607Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8265862Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8266106Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8266364Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8266601Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8266852Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8267081Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8267344Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8267588Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8267836Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8268075Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8268332Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8268465Z 2025-12-04T09:29:36.8268577Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8268824Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8269060Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8269322Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8269555Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8269801Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8270033Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8270274Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8270515Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8270764Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8271006Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8271435Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8271847Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8272081Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8272303Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8272540Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8272712Z 2025-12-04T09:29:36.8272789Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8273014Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8273233Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8273456Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8273685Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8273838Z 2025-12-04T09:29:36.8273912Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8274137Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8274375Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8274599Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8274824Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8274985Z 2025-12-04T09:29:36.8274989Z 2025-12-04T09:29:36.8275061Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8275285Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8275504Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8275815Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8276041Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8276188Z 2025-12-04T09:29:36.8276337Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8276558Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8276793Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8277026Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8277246Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8277401Z 2025-12-04T09:29:36.8277476Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8277702Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8277926Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8278142Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8278390Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8278542Z 2025-12-04T09:29:36.8278545Z 2025-12-04T09:29:36.8278627Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8278846Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8279072Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8279298Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8279531Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8279683Z 2025-12-04T09:29:36.8279758Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8279982Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8280205Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8280420Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8280644Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8280800Z 2025-12-04T09:29:36.8280873Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8281093Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8281314Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8281549Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8281816Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8282126Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8282386Z kwargs = {} 2025-12-04T09:29:36.8282479Z 2025-12-04T09:29:36.8282630Z The above exception was the direct cause of the following exception: 2025-12-04T09:29:36.8282854Z 2025-12-04T09:29:36.8282941Z Traceback (most recent call last): 2025-12-04T09:29:36.8283394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8283863Z method(*args, **kwargs) 2025-12-04T09:29:36.8284298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8284733Z method(*args, **kwargs) 2025-12-04T09:29:36.8285204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test 2025-12-04T09:29:36.8285708Z result = test(self, **param_kwargs) 2025-12-04T09:29:36.8286155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8286586Z fn(*args, **kwargs) 2025-12-04T09:29:36.8287025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper 2025-12-04T09:29:36.8287503Z raise e_tracked from e 2025-12-04T09:29:36.8288092Z Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8288814Z atol = 0.005 2025-12-04T09:29:36.8289056Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8289425Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8289674Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8289945Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8290193Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8290468Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8290717Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8290977Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8291221Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8291484Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8291746Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8292002Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8292137Z 2025-12-04T09:29:36.8292249Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8292504Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8292743Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8293008Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8293256Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8293531Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8293787Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8294036Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8294283Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8294532Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8294790Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8295039Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8295182Z 2025-12-04T09:29:36.8295298Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8295551Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8295782Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8296031Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8296266Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8296514Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8296740Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8296995Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8297229Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8297476Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8297711Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8297965Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8298202Z 2025-12-04T09:29:36.8298210Z 2025-12-04T09:29:36.8298327Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8298572Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8298810Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8299060Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8299291Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8299543Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8299778Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8300019Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8300254Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8300619Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8300855Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8301176Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8301321Z 2025-12-04T09:29:36.8301428Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8301679Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8301908Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8302158Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8302395Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8302644Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8302876Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8303141Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8303387Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8303634Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8303881Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8304143Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8304276Z 2025-12-04T09:29:36.8304389Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8304633Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8304872Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8305127Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8305371Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8305622Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8305867Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8306112Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8306359Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8306620Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8306864Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8307122Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8307262Z 2025-12-04T09:29:36.8307266Z 2025-12-04T09:29:36.8307369Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8307616Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8307847Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8308095Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8308330Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8308576Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8308803Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8309060Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8309307Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8309565Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8309807Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8310224Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8310367Z 2025-12-04T09:29:36.8310480Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8310738Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8311098Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8311363Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8311597Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8311845Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8312418Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8312858Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8313106Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8313469Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8313713Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8313961Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8314103Z 2025-12-04T09:29:36.8314231Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8314499Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8314735Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8314988Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8315229Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8315477Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8315711Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8315968Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8316212Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8316458Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8316697Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8317134Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8317546Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8317782Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8318015Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8318252Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8318405Z 2025-12-04T09:29:36.8318489Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8318719Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8318946Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8319177Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8319399Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8319552Z 2025-12-04T09:29:36.8319629Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8319851Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8320067Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8320303Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8320536Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8320691Z 2025-12-04T09:29:36.8320694Z 2025-12-04T09:29:36.8320772Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8320995Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8321217Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8321438Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8321663Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8321817Z 2025-12-04T09:29:36.8321890Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8322113Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8322336Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8322554Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8322780Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8322939Z 2025-12-04T09:29:36.8323023Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8323240Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8323556Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8323779Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8324020Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8324173Z 2025-12-04T09:29:36.8324247Z 2025-12-04T09:29:36.8324323Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8324547Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8324772Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8324994Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8325223Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8325380Z 2025-12-04T09:29:36.8325467Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8325694Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8325912Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8326139Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8326362Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8326511Z 2025-12-04T09:29:36.8326588Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8326813Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8327036Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8327275Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8327538Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8327853Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8328744Z kwargs = {} 2025-12-04T09:29:36.8328839Z 2025-12-04T09:29:36.8329260Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.8329743Z 2025-12-04T09:29:36.8329876Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.8330442Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.8330868Z 2025-12-04T09:29:36.8331041Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.8331468Z __ TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 ___ 2025-12-04T09:29:36.8331811Z Traceback (most recent call last): 2025-12-04T09:29:36.8332305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper 2025-12-04T09:29:36.8332792Z return test(*args, **kwargs) 2025-12-04T09:29:36.8333239Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn 2025-12-04T09:29:36.8333706Z return fn(self, *args, **kwargs) 2025-12-04T09:29:36.8334152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper 2025-12-04T09:29:36.8334586Z fn(*args, **kwargs) 2025-12-04T09:29:36.8334993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper 2025-12-04T09:29:36.8335426Z fn(*args, **kwargs) 2025-12-04T09:29:36.8335733Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 602, in test_comprehensive 2025-12-04T09:29:36.8336115Z self.do_cross_ref(device, dtype, op, run_all=True) 2025-12-04T09:29:36.8336591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8337039Z fn(*args, **kwargs) 2025-12-04T09:29:36.8337329Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 1004, in do_cross_ref 2025-12-04T09:29:36.8337664Z decomp_vjp_fn(cotangents) 2025-12-04T09:29:36.8338222Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 150, in wrapped 2025-12-04T09:29:36.8338551Z return _autograd_grad( 2025-12-04T09:29:36.8338943Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 118, in _autograd_grad 2025-12-04T09:29:36.8339302Z grad_inputs = torch.autograd.grad( 2025-12-04T09:29:36.8339706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 515, in grad 2025-12-04T09:29:36.8340108Z result = _engine_run_backward( 2025-12-04T09:29:36.8340534Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T09:29:36.8341141Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T09:29:36.8341656Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 887, in __torch_dispatch__ 2025-12-04T09:29:36.8341994Z op_assert_ref( 2025-12-04T09:29:36.8342287Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 236, in op_assert_ref 2025-12-04T09:29:36.8342633Z raise RuntimeError( 2025-12-04T09:29:36.8343231Z RuntimeError: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8344100Z atol = 0.005 2025-12-04T09:29:36.8344356Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8344655Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8344903Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8345185Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8345439Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8345693Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8364297Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8364815Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8365201Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8365480Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8365755Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8366024Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8366173Z 2025-12-04T09:29:36.8366288Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8366561Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8366817Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8367078Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8367318Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8367572Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8367816Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8368081Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8368317Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8368574Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8368809Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8369069Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8369212Z 2025-12-04T09:29:36.8369331Z 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4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8389239Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8389500Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8389743Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8389990Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8390231Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8390672Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8391084Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8391330Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8391568Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8391805Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8391958Z 2025-12-04T09:29:36.8392038Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8392266Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8392490Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8392709Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8392937Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8393093Z 2025-12-04T09:29:36.8393169Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8393393Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8393627Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8393855Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8394186Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8394361Z 2025-12-04T09:29:36.8394364Z 2025-12-04T09:29:36.8394444Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8394732Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8394960Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8395182Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8395402Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8395557Z 2025-12-04T09:29:36.8395631Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8395867Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8396090Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8396316Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8396540Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8396698Z 2025-12-04T09:29:36.8396780Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8396999Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8397231Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8397457Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8397680Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8397854Z 2025-12-04T09:29:36.8397857Z 2025-12-04T09:29:36.8397929Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8398151Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8398375Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8398596Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8398827Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8398983Z 2025-12-04T09:29:36.8399067Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8399296Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8399516Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8399755Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8399986Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8400140Z 2025-12-04T09:29:36.8400214Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8400455Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8400694Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8400919Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8401187Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8401506Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8401772Z kwargs = {} 2025-12-04T09:29:36.8401864Z 2025-12-04T09:29:36.8402019Z The above exception was the direct cause of the following exception: 2025-12-04T09:29:36.8402251Z 2025-12-04T09:29:36.8402332Z Traceback (most recent call last): 2025-12-04T09:29:36.8402810Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8403268Z method(*args, **kwargs) 2025-12-04T09:29:36.8403699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8404151Z method(*args, **kwargs) 2025-12-04T09:29:36.8404623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test 2025-12-04T09:29:36.8405121Z result = test(self, **param_kwargs) 2025-12-04T09:29:36.8405573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8406100Z fn(*args, **kwargs) 2025-12-04T09:29:36.8406542Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper 2025-12-04T09:29:36.8407080Z raise e_tracked from e 2025-12-04T09:29:36.8407685Z Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8408291Z atol = 0.005 2025-12-04T09:29:36.8408533Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8408836Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8409089Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8409349Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8409591Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8409846Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8410084Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8410329Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8410575Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8410839Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8411071Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8411322Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8411458Z 2025-12-04T09:29:36.8411564Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8411811Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8412404Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8412702Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8412943Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8413195Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8413430Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8413689Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8413936Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8414189Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8414422Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8414671Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8414804Z 2025-12-04T09:29:36.8414910Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8415162Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8415405Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8415656Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8415892Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8416143Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8416378Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8416624Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8416861Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8417126Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8417522Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8417864Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8418092Z 2025-12-04T09:29:36.8418095Z 2025-12-04T09:29:36.8418209Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8418467Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8418701Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8419167Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8419418Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8419667Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8420004Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8420271Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8420506Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8420752Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8420984Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8421236Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8421378Z 2025-12-04T09:29:36.8421502Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8421760Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8422007Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8422272Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8422520Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8422793Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8423051Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8423308Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8423553Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8423809Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8424053Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8424304Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8424445Z 2025-12-04T09:29:36.8424553Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8424807Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8425043Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8425307Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8425548Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8425808Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8426046Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8426311Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8426551Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8426799Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8427038Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8427299Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8427438Z 2025-12-04T09:29:36.8427441Z 2025-12-04T09:29:36.8427554Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8427801Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8428049Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8428315Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8428552Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8428810Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8429051Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8429307Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8429545Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8429805Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8430050Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8430306Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8430451Z 2025-12-04T09:29:36.8430558Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8430932Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8431167Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8431433Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8431736Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8431989Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8432219Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8432486Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8432727Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8432973Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8433217Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8433473Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8433608Z 2025-12-04T09:29:36.8433724Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8433981Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8434223Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8434485Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8434718Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8434982Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8435221Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8435482Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8435716Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8435973Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8436211Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8436652Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8437079Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8437322Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8437562Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8437794Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8437955Z 2025-12-04T09:29:36.8438031Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8438270Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8438497Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8438727Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8438959Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8439113Z 2025-12-04T09:29:36.8439195Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8439416Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8439648Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8439880Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8440118Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8440284Z 2025-12-04T09:29:36.8440287Z 2025-12-04T09:29:36.8440362Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8440592Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8440822Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8441043Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8441277Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8441431Z 2025-12-04T09:29:36.8441516Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8441741Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8441979Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8442298Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8442521Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8442681Z 2025-12-04T09:29:36.8442831Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8443067Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8443293Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8443511Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8443740Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8443896Z 2025-12-04T09:29:36.8443898Z 2025-12-04T09:29:36.8443989Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8444213Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8444431Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8444657Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8444891Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8445045Z 2025-12-04T09:29:36.8445120Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8445352Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8445578Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8445806Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8446025Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8446178Z 2025-12-04T09:29:36.8446252Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8446477Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8446696Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8446923Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8447191Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8447511Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8447902Z kwargs = {} 2025-12-04T09:29:36.8447999Z 2025-12-04T09:29:36.8448419Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.8448900Z 2025-12-04T09:29:36.8449041Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.8449595Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.8450025Z 2025-12-04T09:29:36.8450190Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.8450620Z __ TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 ___ 2025-12-04T09:29:36.8450979Z Traceback (most recent call last): 2025-12-04T09:29:36.8451479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper 2025-12-04T09:29:36.8451977Z return test(*args, **kwargs) 2025-12-04T09:29:36.8452436Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn 2025-12-04T09:29:36.8452907Z return fn(self, *args, **kwargs) 2025-12-04T09:29:36.8453345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper 2025-12-04T09:29:36.8453789Z fn(*args, **kwargs) 2025-12-04T09:29:36.8454197Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper 2025-12-04T09:29:36.8454639Z fn(*args, **kwargs) 2025-12-04T09:29:36.8454961Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 602, in test_comprehensive 2025-12-04T09:29:36.8455463Z self.do_cross_ref(device, dtype, op, run_all=True) 2025-12-04T09:29:36.8455945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8456381Z fn(*args, **kwargs) 2025-12-04T09:29:36.8456749Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 1011, in do_cross_ref 2025-12-04T09:29:36.8457095Z decomp_vjp_fn(cotangents) 2025-12-04T09:29:36.8457391Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 150, in wrapped 2025-12-04T09:29:36.8457709Z return _autograd_grad( 2025-12-04T09:29:36.8458132Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 118, in _autograd_grad 2025-12-04T09:29:36.8458503Z grad_inputs = torch.autograd.grad( 2025-12-04T09:29:36.8459489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 515, in grad 2025-12-04T09:29:36.8459945Z result = _engine_run_backward( 2025-12-04T09:29:36.8460405Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T09:29:36.8461044Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T09:29:36.8461601Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 887, in __torch_dispatch__ 2025-12-04T09:29:36.8461959Z op_assert_ref( 2025-12-04T09:29:36.8462252Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 236, in op_assert_ref 2025-12-04T09:29:36.8462583Z raise RuntimeError( 2025-12-04T09:29:36.8463180Z RuntimeError: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8463795Z atol = 0.005 2025-12-04T09:29:36.8464030Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8464340Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8464596Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8464858Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8465106Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8465362Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8465611Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8465862Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8466101Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8466355Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8466591Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8466845Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8466989Z 2025-12-04T09:29:36.8467096Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8467348Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8467590Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8467841Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8468085Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8468336Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8468573Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8468825Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8469061Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8469308Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8469547Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8469801Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8469934Z 2025-12-04T09:29:36.8470043Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8470424Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8470674Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8470923Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8471224Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8471489Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8471730Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8471972Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8472206Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8472458Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8472694Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8472947Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8473092Z 2025-12-04T09:29:36.8473095Z 2025-12-04T09:29:36.8473203Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8473463Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8473708Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8473964Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8474204Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8474452Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8474680Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8474926Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8475158Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8475401Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8475636Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8475887Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8476031Z 2025-12-04T09:29:36.8476143Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8476386Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8476630Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8476883Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8477111Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8477373Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8477615Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8477862Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8478097Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8478348Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8478587Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8478836Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8478980Z 2025-12-04T09:29:36.8479086Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8479337Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8479574Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8479834Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8480073Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8480330Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8480565Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8480827Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8481064Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8481311Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8481551Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8481922Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8482060Z 2025-12-04T09:29:36.8482063Z 2025-12-04T09:29:36.8482174Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8482487Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8482731Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8482996Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8483228Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8483483Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8483723Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8483973Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8484214Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8484470Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8484714Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8484970Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8485111Z 2025-12-04T09:29:36.8485216Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8485473Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8485701Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8485954Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8486199Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8486453Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8486680Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8486929Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8487167Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8487409Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8487649Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8487899Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8488030Z 2025-12-04T09:29:36.8488148Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8488404Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8488640Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8488897Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8489129Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8489385Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8489622Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8489867Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8490104Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8490354Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8490598Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8491035Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8491447Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8491690Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8491915Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8492164Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8492324Z 2025-12-04T09:29:36.8492400Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8492627Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8492845Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8493070Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8493384Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8493534Z 2025-12-04T09:29:36.8493610Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8493900Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8494133Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8494366Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8494603Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8494767Z 2025-12-04T09:29:36.8494769Z 2025-12-04T09:29:36.8494844Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8495072Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8495303Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8495530Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8495760Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8495916Z 2025-12-04T09:29:36.8495998Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8496215Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8496450Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8496688Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8496910Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8497068Z 2025-12-04T09:29:36.8497144Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8497373Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8497594Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8497811Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8498172Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8498329Z 2025-12-04T09:29:36.8498332Z 2025-12-04T09:29:36.8498417Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8498633Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8498853Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8499084Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8499314Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8499464Z 2025-12-04T09:29:36.8499538Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8499761Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8500001Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8500232Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8500465Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8500624Z 2025-12-04T09:29:36.8500703Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8500929Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8501152Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8501376Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8501643Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8501967Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8502234Z kwargs = {} 2025-12-04T09:29:36.8502328Z 2025-12-04T09:29:36.8502480Z The above exception was the direct cause of the following exception: 2025-12-04T09:29:36.8502707Z 2025-12-04T09:29:36.8502792Z Traceback (most recent call last): 2025-12-04T09:29:36.8503249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8503707Z method(*args, **kwargs) 2025-12-04T09:29:36.8504132Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8504668Z method(*args, **kwargs) 2025-12-04T09:29:36.8505142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test 2025-12-04T09:29:36.8505719Z result = test(self, **param_kwargs) 2025-12-04T09:29:36.8506175Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8506620Z fn(*args, **kwargs) 2025-12-04T09:29:36.8507066Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper 2025-12-04T09:29:36.8507543Z raise e_tracked from e 2025-12-04T09:29:36.8508136Z Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8508736Z atol = 0.005 2025-12-04T09:29:36.8509002Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8509306Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8509553Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8509826Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8510075Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8510339Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8510576Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8510831Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8511071Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8511321Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8511560Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8511820Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8511963Z 2025-12-04T09:29:36.8512459Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8512766Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8513020Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8513276Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8513518Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8513776Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8514015Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8514264Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8514511Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8514761Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8515002Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8515262Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8515407Z 2025-12-04T09:29:36.8515516Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8515767Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8516001Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8516249Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8516483Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8516731Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8516958Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8517203Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8517441Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8517688Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8517925Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8518369Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8518509Z 2025-12-04T09:29:36.8518513Z 2025-12-04T09:29:36.8518629Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8519004Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8519266Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8519521Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8519754Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8520016Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8520260Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8520507Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8520745Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8520997Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8521246Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8521505Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8521653Z 2025-12-04T09:29:36.8521768Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8522025Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8522260Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8522517Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8522627Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8522694Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8522810Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8522883Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8522989Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8523059Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8523177Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8523244Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8523248Z 2025-12-04T09:29:36.8523365Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8523435Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8523540Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8523613Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8523716Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8523781Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8523897Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8523960Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8524065Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8524140Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8524254Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8524325Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8524329Z 2025-12-04T09:29:36.8524334Z 2025-12-04T09:29:36.8524438Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8524503Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8524616Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8524678Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8524798Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8524864Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8524971Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8525043Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8525148Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8525307Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8525421Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8525555Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8525558Z 2025-12-04T09:29:36.8525671Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8525735Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8525853Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8525922Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8526027Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8526089Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8526199Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8526262Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8526370Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8526444Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8526548Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8526625Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8526628Z 2025-12-04T09:29:36.8526735Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8526798Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8526923Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8526989Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8527095Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8527165Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8527268Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8527340Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8527452Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8527518Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8527636Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8527890Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8527976Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8528061Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8528137Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8528234Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8528238Z 2025-12-04T09:29:36.8528315Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8528445Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8528597Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8528699Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8528811Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8528821Z 2025-12-04T09:29:36.8529164Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8529279Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8529422Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8529525Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8529637Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8529641Z 2025-12-04T09:29:36.8529644Z 2025-12-04T09:29:36.8529846Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8529967Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8530115Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8530311Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8530419Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8530423Z 2025-12-04T09:29:36.8530638Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8530805Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8530925Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8531070Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8531191Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8531195Z 2025-12-04T09:29:36.8531329Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8531418Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8531573Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8531727Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8531855Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8531858Z 2025-12-04T09:29:36.8531861Z 2025-12-04T09:29:36.8532010Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8532114Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8532203Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8532394Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8532499Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8532502Z 2025-12-04T09:29:36.8532621Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8532760Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8532862Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8533031Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8533150Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8533158Z 2025-12-04T09:29:36.8533261Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8533413Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8533523Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8533627Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8533855Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8534026Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8534167Z kwargs = {} 2025-12-04T09:29:36.8534170Z 2025-12-04T09:29:36.8534619Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.8534623Z 2025-12-04T09:29:36.8534785Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.8535186Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.8535195Z 2025-12-04T09:29:36.8535443Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.8535726Z __ TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 ___ 2025-12-04T09:29:36.8535834Z Traceback (most recent call last): 2025-12-04T09:29:36.8536210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper 2025-12-04T09:29:36.8536365Z return test(*args, **kwargs) 2025-12-04T09:29:36.8536702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn 2025-12-04T09:29:36.8536924Z return fn(self, *args, **kwargs) 2025-12-04T09:29:36.8537252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper 2025-12-04T09:29:36.8537423Z fn(*args, **kwargs) 2025-12-04T09:29:36.8537782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper 2025-12-04T09:29:36.8537949Z fn(*args, **kwargs) 2025-12-04T09:29:36.8538424Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 602, in test_comprehensive 2025-12-04T09:29:36.8538578Z self.do_cross_ref(device, dtype, op, run_all=True) 2025-12-04T09:29:36.8538910Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8539042Z fn(*args, **kwargs) 2025-12-04T09:29:36.8539272Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 1004, in do_cross_ref 2025-12-04T09:29:36.8539394Z decomp_vjp_fn(cotangents) 2025-12-04T09:29:36.8539662Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 150, in wrapped 2025-12-04T09:29:36.8539775Z return _autograd_grad( 2025-12-04T09:29:36.8540032Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 118, in _autograd_grad 2025-12-04T09:29:36.8540154Z grad_inputs = torch.autograd.grad( 2025-12-04T09:29:36.8540443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 515, in grad 2025-12-04T09:29:36.8540582Z result = _engine_run_backward( 2025-12-04T09:29:36.8540955Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T09:29:36.8541273Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T09:29:36.8541506Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 887, in __torch_dispatch__ 2025-12-04T09:29:36.8541601Z op_assert_ref( 2025-12-04T09:29:36.8541868Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 236, in op_assert_ref 2025-12-04T09:29:36.8541952Z raise RuntimeError( 2025-12-04T09:29:36.8542515Z RuntimeError: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8542655Z atol = 0.005 2025-12-04T09:29:36.8542839Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8542987Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8543130Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8543215Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8543445Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8543545Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8543682Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8543837Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8543978Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8544150Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8544307Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8544402Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8544411Z 2025-12-04T09:29:36.8544594Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8544687Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8544822Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8544985Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8545136Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8545279Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8545414Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8545508Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8545662Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8545892Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8546097Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8546276Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8546280Z 2025-12-04T09:29:36.8546426Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8546559Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8546683Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8546828Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8547039Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8547135Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8547313Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8547411Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8547543Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8547766Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8547908Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8548008Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8548012Z 2025-12-04T09:29:36.8548055Z 2025-12-04T09:29:36.8548190Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8548298Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8548542Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8548656Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8548795Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8549009Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8549143Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8549243Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8549461Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8549575Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8549752Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8549848Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8549852Z 2025-12-04T09:29:36.8549988Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8550118Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8550300Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8550447Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8550580Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8550686Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8550880Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8550966Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8551167Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8551320Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8551459Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8551606Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8551610Z 2025-12-04T09:29:36.8551747Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8551828Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8552075Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8552173Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8552306Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8552535Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8552761Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8552923Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8553075Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8553261Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8553447Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8553547Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8553551Z 2025-12-04T09:29:36.8553554Z 2025-12-04T09:29:36.8553712Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8553851Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8554004Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8554150Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8554288Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8554402Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8554562Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8554705Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8554913Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8555010Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8555147Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8555278Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8555283Z 2025-12-04T09:29:36.8555401Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8555540Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8555824Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8555919Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8556097Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8556198Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8556319Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8556530Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8556670Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8556767Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8556939Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8557037Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8557041Z 2025-12-04T09:29:36.8557260Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8557369Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8557505Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8557636Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8557770Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8557869Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8558085Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8558202Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8558373Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8558480Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8558617Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8558936Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8559095Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8559335Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8559440Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8559633Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8559636Z 2025-12-04T09:29:36.8559804Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8560031Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8560279Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8560444Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8560555Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8560560Z 2025-12-04T09:29:36.8560733Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8560841Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8560945Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8561156Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8561271Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8561275Z 2025-12-04T09:29:36.8561284Z 2025-12-04T09:29:36.8561438Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8561543Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8561652Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8561822Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8561944Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8561948Z 2025-12-04T09:29:36.8562102Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8562213Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8562321Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8562528Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8562710Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8562713Z 2025-12-04T09:29:36.8562836Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8562997Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8563100Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8563240Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8563352Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8563356Z 2025-12-04T09:29:36.8563359Z 2025-12-04T09:29:36.8563510Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8563680Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8563786Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8563894Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8564038Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8564041Z 2025-12-04T09:29:36.8564132Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8564343Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8564851Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8564980Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8565135Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8565141Z 2025-12-04T09:29:36.8565256Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8565446Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8565587Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8565694Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8565876Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8566033Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8566217Z kwargs = {} 2025-12-04T09:29:36.8566221Z 2025-12-04T09:29:36.8566494Z The above exception was the direct cause of the following exception: 2025-12-04T09:29:36.8566612Z 2025-12-04T09:29:36.8567092Z Traceback (most recent call last): 2025-12-04T09:29:36.8567591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8568091Z method(*args, **kwargs) 2025-12-04T09:29:36.8568777Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8568924Z method(*args, **kwargs) 2025-12-04T09:29:36.8569413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test 2025-12-04T09:29:36.8569578Z result = test(self, **param_kwargs) 2025-12-04T09:29:36.8569925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8570022Z fn(*args, **kwargs) 2025-12-04T09:29:36.8570447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper 2025-12-04T09:29:36.8570543Z raise e_tracked from e 2025-12-04T09:29:36.8571152Z Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8571245Z atol = 0.005 2025-12-04T09:29:36.8571433Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8571585Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8571732Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8571816Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8572052Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8572158Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8572432Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8572536Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8572675Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8572836Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8572997Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8573096Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8573100Z 2025-12-04T09:29:36.8573287Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8573387Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8573543Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8573687Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8573841Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8573995Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8574136Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8574234Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8574387Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8574541Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8574733Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8574846Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8574849Z 2025-12-04T09:29:36.8574988Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8575122Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8575246Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8575433Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8575586Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8575761Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8576033Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8576127Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8576248Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8577348Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8577511Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8577650Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8577655Z 2025-12-04T09:29:36.8577658Z 2025-12-04T09:29:36.8577797Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8577892Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8578245Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8578363Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8578514Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8578652Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8578787Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8578915Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8579124Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8579239Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8579408Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8579506Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8579509Z 2025-12-04T09:29:36.8579695Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8579777Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8579960Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8580186Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8580318Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8580419Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8580611Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8604474Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8604730Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8604850Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8605053Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8605173Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8605179Z 2025-12-04T09:29:36.8605364Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8605477Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8605662Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8605789Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8605920Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8606005Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8606128Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8606198Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8606334Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8606460Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8606638Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8606755Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8606761Z 2025-12-04T09:29:36.8606766Z 2025-12-04T09:29:36.8606952Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8607060Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8607244Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8607338Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8607656Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8607779Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8608043Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8608125Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8608250Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8608319Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8608439Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8608508Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8608512Z 2025-12-04T09:29:36.8608625Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8608699Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8608808Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8608884Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8608989Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8609052Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8609169Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8609234Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8609338Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8609407Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8609511Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8609585Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8609588Z 2025-12-04T09:29:36.8609695Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8609759Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8609868Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8609936Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8610038Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8610112Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8610213Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8610284Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8610386Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8610451Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8610559Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8610814Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8610900Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8610986Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8611065Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8611152Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8611157Z 2025-12-04T09:29:36.8611237Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8611309Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8611390Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8611463Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8611543Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8611546Z 2025-12-04T09:29:36.8611626Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8611698Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8611777Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8611851Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8612341Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8612349Z 2025-12-04T09:29:36.8612352Z 2025-12-04T09:29:36.8612443Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8612716Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8612797Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8612877Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8612954Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8612958Z 2025-12-04T09:29:36.8613039Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8613113Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8613189Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8613273Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8613347Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8613357Z 2025-12-04T09:29:36.8613436Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8613510Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8613592Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8613672Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8613753Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8613757Z 2025-12-04T09:29:36.8613760Z 2025-12-04T09:29:36.8613832Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8613909Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8613982Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8614072Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8614151Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8614158Z 2025-12-04T09:29:36.8614233Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8614315Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8614388Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8614465Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8614549Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8614553Z 2025-12-04T09:29:36.8614625Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8614707Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8614781Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8614857Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8614981Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8615107Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8615176Z kwargs = {} 2025-12-04T09:29:36.8615186Z 2025-12-04T09:29:36.8615618Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.8615622Z 2025-12-04T09:29:36.8615762Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.8616124Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.8616127Z 2025-12-04T09:29:36.8616295Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.8616503Z __ TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 ___ 2025-12-04T09:29:36.8616586Z Traceback (most recent call last): 2025-12-04T09:29:36.8616944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper 2025-12-04T09:29:36.8617153Z return test(*args, **kwargs) 2025-12-04T09:29:36.8617474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn 2025-12-04T09:29:36.8617622Z return fn(self, *args, **kwargs) 2025-12-04T09:29:36.8617928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper 2025-12-04T09:29:36.8618093Z fn(*args, **kwargs) 2025-12-04T09:29:36.8618404Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper 2025-12-04T09:29:36.8618468Z fn(*args, **kwargs) 2025-12-04T09:29:36.8618675Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 602, in test_comprehensive 2025-12-04T09:29:36.8618788Z self.do_cross_ref(device, dtype, op, run_all=True) 2025-12-04T09:29:36.8619079Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8619147Z fn(*args, **kwargs) 2025-12-04T09:29:36.8619342Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 1011, in do_cross_ref 2025-12-04T09:29:36.8619425Z decomp_vjp_fn(cotangents) 2025-12-04T09:29:36.8619598Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 150, in wrapped 2025-12-04T09:29:36.8619669Z return _autograd_grad( 2025-12-04T09:29:36.8619856Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 118, in _autograd_grad 2025-12-04T09:29:36.8619945Z grad_inputs = torch.autograd.grad( 2025-12-04T09:29:36.8620203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 515, in grad 2025-12-04T09:29:36.8620279Z result = _engine_run_backward( 2025-12-04T09:29:36.8620574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T09:29:36.8620816Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T09:29:36.8621030Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 887, in __torch_dispatch__ 2025-12-04T09:29:36.8621095Z op_assert_ref( 2025-12-04T09:29:36.8621281Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 236, in op_assert_ref 2025-12-04T09:29:36.8621357Z raise RuntimeError( 2025-12-04T09:29:36.8621839Z RuntimeError: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8621901Z atol = 0.005 2025-12-04T09:29:36.8622063Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8622134Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8622255Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8622326Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8622439Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8622514Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8622623Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8622690Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8622804Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8622869Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8622982Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8623050Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8623054Z 2025-12-04T09:29:36.8623160Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8623234Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8623337Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8623520Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8623642Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8623708Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8623888Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8623953Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8624059Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8624147Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8624253Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8624319Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8624322Z 2025-12-04T09:29:36.8624434Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8624500Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8624607Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8624677Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8624781Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8624855Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8624960Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8625024Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8625133Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8625199Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8625307Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8625375Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8625378Z 2025-12-04T09:29:36.8625381Z 2025-12-04T09:29:36.8625485Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8625558Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8625670Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8625735Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8625849Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8625918Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8626025Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8626091Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8626193Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8626265Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8626366Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8626433Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8626436Z 2025-12-04T09:29:36.8626548Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8626611Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8626725Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8626789Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8626896Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8626966Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8627072Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8627139Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8627251Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8627316Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8627433Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8627512Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8627515Z 2025-12-04T09:29:36.8627621Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8627770Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8627875Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8627941Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8628132Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8628201Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8628317Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8628380Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8628483Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8628554Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8628659Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8628735Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8628739Z 2025-12-04T09:29:36.8628746Z 2025-12-04T09:29:36.8628857Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8628927Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8629042Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8629112Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8629214Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8629283Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8629385Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8629449Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8629558Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8629622Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8629734Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8629800Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8629803Z 2025-12-04T09:29:36.8629908Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8629978Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8630088Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8630151Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8630258Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8630331Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8630443Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8630509Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8630611Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8630682Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8630784Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8630849Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8630856Z 2025-12-04T09:29:36.8630968Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8631031Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8631144Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8631209Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8631323Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8631392Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8631496Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8631560Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8631670Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8631734Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8631837Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8632189Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8632276Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8632432Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8632510Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8632592Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8632596Z 2025-12-04T09:29:36.8632678Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8632752Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8632831Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8632905Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8632984Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8632987Z 2025-12-04T09:29:36.8633068Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8633146Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8633224Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8633319Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8633402Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8633405Z 2025-12-04T09:29:36.8633409Z 2025-12-04T09:29:36.8633485Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8633559Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8633633Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8633711Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8633784Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8633788Z 2025-12-04T09:29:36.8633860Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8633943Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8634016Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8634095Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8634176Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8634179Z 2025-12-04T09:29:36.8634254Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8634336Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8634409Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8634484Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8634572Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8634576Z 2025-12-04T09:29:36.8634579Z 2025-12-04T09:29:36.8634650Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8634730Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8634808Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8634886Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8634971Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8634978Z 2025-12-04T09:29:36.8635052Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8635132Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8635216Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8635291Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8635372Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8635376Z 2025-12-04T09:29:36.8635449Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8635522Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8635603Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8635758Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8635876Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8635997Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8636152Z kwargs = {} 2025-12-04T09:29:36.8636157Z 2025-12-04T09:29:36.8636322Z The above exception was the direct cause of the following exception: 2025-12-04T09:29:36.8636326Z 2025-12-04T09:29:36.8636404Z Traceback (most recent call last): 2025-12-04T09:29:36.8636729Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8636805Z method(*args, **kwargs) 2025-12-04T09:29:36.8637101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8637178Z method(*args, **kwargs) 2025-12-04T09:29:36.8637532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test 2025-12-04T09:29:36.8637615Z result = test(self, **param_kwargs) 2025-12-04T09:29:36.8637914Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8637978Z fn(*args, **kwargs) 2025-12-04T09:29:36.8638311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper 2025-12-04T09:29:36.8638381Z raise e_tracked from e 2025-12-04T09:29:36.8638848Z Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8638913Z atol = 0.005 2025-12-04T09:29:36.8639062Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8639128Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8639249Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8639316Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8639435Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8639499Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8639604Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8639684Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8639793Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8639859Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8639970Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8640037Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8640040Z 2025-12-04T09:29:36.8640150Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8640220Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8640328Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8640398Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8640509Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8640572Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8640693Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8640758Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8640861Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8640934Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8641038Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8641111Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8641116Z 2025-12-04T09:29:36.8641220Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8641365Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8641474Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8641536Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8641708Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8641779Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8641883Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8641954Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8642061Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8642127Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8642240Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8642306Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8642310Z 2025-12-04T09:29:36.8642313Z 2025-12-04T09:29:36.8642427Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8642494Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8642596Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8642671Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8642779Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8642845Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8642952Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8643015Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8643117Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8643188Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8643290Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8643361Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8643369Z 2025-12-04T09:29:36.8643473Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8643535Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8643649Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8643713Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8643815Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8643899Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8644006Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8644075Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8644180Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8644244Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8644357Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8644422Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8644429Z 2025-12-04T09:29:36.8644532Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8644604Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8644714Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8644788Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8644894Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8644960Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8645074Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8645138Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8645241Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8645321Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8645427Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8645589Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8645593Z 2025-12-04T09:29:36.8645596Z 2025-12-04T09:29:36.8645700Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8645835Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8645950Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8646015Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8646128Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8646195Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8646298Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8646378Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8646486Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8646554Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8646668Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8646742Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8646745Z 2025-12-04T09:29:36.8646856Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8646926Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8647029Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8647099Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8647203Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8647266Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8647389Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8647459Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8647570Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8647636Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8647743Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8647816Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8647821Z 2025-12-04T09:29:36.8647929Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8647993Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8648103Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8648171Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8648286Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8648351Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8648454Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8648524Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8648625Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8648689Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8648817Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8649071Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8649161Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8649241Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8649317Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8649404Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8649407Z 2025-12-04T09:29:36.8649491Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8649565Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8649644Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8649716Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8649881Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8649884Z 2025-12-04T09:29:36.8649957Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8650097Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8650183Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8650257Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8650338Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8650341Z 2025-12-04T09:29:36.8650351Z 2025-12-04T09:29:36.8650424Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8650498Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8650580Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8650652Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8650736Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8650744Z 2025-12-04T09:29:36.8650827Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8650901Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8650979Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8651061Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8651137Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8651140Z 2025-12-04T09:29:36.8651233Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8651308Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8651383Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8651461Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8651542Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8651546Z 2025-12-04T09:29:36.8651549Z 2025-12-04T09:29:36.8651630Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8651702Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8651775Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8651859Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8651935Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8651938Z 2025-12-04T09:29:36.8652013Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8652095Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8652169Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8652251Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8652324Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8652327Z 2025-12-04T09:29:36.8652400Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8652484Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8652563Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8652638Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8652766Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8652889Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8652964Z kwargs = {} 2025-12-04T09:29:36.8652967Z 2025-12-04T09:29:36.8653376Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.8653380Z 2025-12-04T09:29:36.8653512Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.8653875Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.8653954Z 2025-12-04T09:29:36.8654125Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.8654321Z __ TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 ___ 2025-12-04T09:29:36.8654486Z Traceback (most recent call last): 2025-12-04T09:29:36.8654834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper 2025-12-04T09:29:36.8654915Z return test(*args, **kwargs) 2025-12-04T09:29:36.8655231Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn 2025-12-04T09:29:36.8655320Z return fn(self, *args, **kwargs) 2025-12-04T09:29:36.8655621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper 2025-12-04T09:29:36.8655687Z fn(*args, **kwargs) 2025-12-04T09:29:36.8655984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper 2025-12-04T09:29:36.8656054Z fn(*args, **kwargs) 2025-12-04T09:29:36.8656261Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 602, in test_comprehensive 2025-12-04T09:29:36.8656379Z self.do_cross_ref(device, dtype, op, run_all=True) 2025-12-04T09:29:36.8656673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8656748Z fn(*args, **kwargs) 2025-12-04T09:29:36.8656932Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 1011, in do_cross_ref 2025-12-04T09:29:36.8657011Z decomp_vjp_fn(cotangents) 2025-12-04T09:29:36.8657186Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 150, in wrapped 2025-12-04T09:29:36.8657256Z return _autograd_grad( 2025-12-04T09:29:36.8657446Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 118, in _autograd_grad 2025-12-04T09:29:36.8657538Z grad_inputs = torch.autograd.grad( 2025-12-04T09:29:36.8657792Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 515, in grad 2025-12-04T09:29:36.8657880Z result = _engine_run_backward( 2025-12-04T09:29:36.8658299Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T09:29:36.8658538Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T09:29:36.8658749Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 887, in __torch_dispatch__ 2025-12-04T09:29:36.8658815Z op_assert_ref( 2025-12-04T09:29:36.8658997Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 236, in op_assert_ref 2025-12-04T09:29:36.8659072Z raise RuntimeError( 2025-12-04T09:29:36.8659551Z RuntimeError: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8659620Z atol = 0.005 2025-12-04T09:29:36.8659761Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8659842Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8659962Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8660030Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8660138Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8660209Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8660314Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8660384Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8660494Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8660560Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8660673Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8660833Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8660836Z 2025-12-04T09:29:36.8660942Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8661088Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8661194Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8661262Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8661369Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8661430Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8661551Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8661616Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8661720Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8661792Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8661902Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8661967Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8661975Z 2025-12-04T09:29:36.8662084Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8662150Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8662260Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8662324Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8662430Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8662502Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8662605Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8662668Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8662776Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8662843Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8662958Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8663028Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8663031Z 2025-12-04T09:29:36.8663034Z 2025-12-04T09:29:36.8663142Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8663213Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8663315Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8663385Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8663490Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8663555Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8663663Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8663726Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8663827Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8663903Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8664004Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8664070Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8664084Z 2025-12-04T09:29:36.8664187Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8664262Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8664377Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8664444Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8664545Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8664627Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8664734Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8664800Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8664910Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8665055Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8665168Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8665302Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8665306Z 2025-12-04T09:29:36.8665412Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8665482Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8665584Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8665650Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8665759Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8665824Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8665948Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8666013Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8666126Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8666200Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8666305Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8666377Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8666389Z 2025-12-04T09:29:36.8666392Z 2025-12-04T09:29:36.8666494Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8666558Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8666673Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8666736Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8666840Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8666914Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8667016Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8667085Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8667197Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8667263Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8667386Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8667456Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8667459Z 2025-12-04T09:29:36.8667565Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8667639Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8667745Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8667812Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8667922Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8667987Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8668095Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8668165Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8668267Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8668341Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8668446Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8668514Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8668523Z 2025-12-04T09:29:36.8668630Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8668694Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8668800Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8668864Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8668968Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8669038Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8669138Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8669294Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8669409Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8669542Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8669655Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8669910Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8669992Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8670076Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8670149Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8670227Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8670236Z 2025-12-04T09:29:36.8670311Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8670390Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8670472Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8670550Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8670625Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8670628Z 2025-12-04T09:29:36.8670706Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8670779Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8670858Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8670937Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8671017Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8671021Z 2025-12-04T09:29:36.8671024Z 2025-12-04T09:29:36.8671101Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8671173Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8671249Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8671328Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8671405Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8671408Z 2025-12-04T09:29:36.8671490Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8671564Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8671637Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8671717Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8671792Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8671795Z 2025-12-04T09:29:36.8671871Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8671965Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8672040Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8672131Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8672209Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8672212Z 2025-12-04T09:29:36.8672215Z 2025-12-04T09:29:36.8672291Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8672380Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8672456Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8672533Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8672615Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8672618Z 2025-12-04T09:29:36.8672691Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8672771Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8672849Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8672922Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8673124Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8673127Z 2025-12-04T09:29:36.8673202Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8673435Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8673515Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8673591Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8673708Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8673830Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8673896Z kwargs = {} 2025-12-04T09:29:36.8673899Z 2025-12-04T09:29:36.8674067Z The above exception was the direct cause of the following exception: 2025-12-04T09:29:36.8674071Z 2025-12-04T09:29:36.8674152Z Traceback (most recent call last): 2025-12-04T09:29:36.8674473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8674550Z method(*args, **kwargs) 2025-12-04T09:29:36.8674854Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8674931Z method(*args, **kwargs) 2025-12-04T09:29:36.8675282Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test 2025-12-04T09:29:36.8675364Z result = test(self, **param_kwargs) 2025-12-04T09:29:36.8675665Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8675731Z fn(*args, **kwargs) 2025-12-04T09:29:36.8676075Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper 2025-12-04T09:29:36.8676153Z raise e_tracked from e 2025-12-04T09:29:36.8676626Z Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8676697Z atol = 0.005 2025-12-04T09:29:36.8676856Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8676934Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8677053Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8677127Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8677245Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8677310Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8677416Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8677488Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8677597Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8677667Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8677780Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8677854Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8677858Z 2025-12-04T09:29:36.8677969Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8678035Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8678145Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8678219Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8678323Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8678387Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8678497Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8678561Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8678670Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8678816Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8678922Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8679071Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8679074Z 2025-12-04T09:29:36.8679185Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8679255Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8679376Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8679441Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8679551Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8679614Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8679716Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8679785Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8679893Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8679957Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8680069Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8680136Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8680139Z 2025-12-04T09:29:36.8680142Z 2025-12-04T09:29:36.8680249Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8680314Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8680416Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8680485Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8680589Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8680654Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8680761Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8680831Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8680941Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8681006Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8681114Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8681186Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8681189Z 2025-12-04T09:29:36.8681294Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8681358Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8681469Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8681533Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8681640Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8681703Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8681808Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8681883Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8681989Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8682059Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8682169Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8682235Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8682239Z 2025-12-04T09:29:36.8682348Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8682413Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8682517Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8682586Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8682688Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8682754Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8682961Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8683025Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8683136Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8683271Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8683378Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8683450Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8683453Z 2025-12-04T09:29:36.8683456Z 2025-12-04T09:29:36.8683560Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8683623Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8683734Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8683798Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8683906Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8683977Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8684082Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8684153Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8684262Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8684327Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8684441Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8684508Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8684512Z 2025-12-04T09:29:36.8684628Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8684693Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8684800Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8684872Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8684975Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8685047Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8685169Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8685236Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8685356Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8685429Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8685535Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8685606Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8685610Z 2025-12-04T09:29:36.8685715Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8685780Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8685894Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8685960Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8686077Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8686156Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8686266Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8686343Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8686447Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8686513Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8686627Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8686881Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8686976Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8687063Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8687138Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8687304Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8687307Z 2025-12-04T09:29:36.8687382Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8687456Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8687607Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8687684Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8687766Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8687770Z 2025-12-04T09:29:36.8687843Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8687917Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8687999Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8688075Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8688157Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8688160Z 2025-12-04T09:29:36.8688172Z 2025-12-04T09:29:36.8688244Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8688318Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8688401Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8688474Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8688550Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8688553Z 2025-12-04T09:29:36.8688633Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8688707Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8688789Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8688862Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8688940Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8688943Z 2025-12-04T09:29:36.8689024Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8689101Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8689176Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8689267Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8689353Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8689356Z 2025-12-04T09:29:36.8689359Z 2025-12-04T09:29:36.8689439Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8689515Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8689591Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8689673Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8689748Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8689751Z 2025-12-04T09:29:36.8689826Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8689905Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8689985Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8690068Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8690146Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8690149Z 2025-12-04T09:29:36.8690222Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8690305Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8690380Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8690455Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8690578Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8690703Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8690771Z kwargs = {} 2025-12-04T09:29:36.8690774Z 2025-12-04T09:29:36.8691185Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.8691285Z 2025-12-04T09:29:36.8691418Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.8691843Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.8691847Z 2025-12-04T09:29:36.8692014Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.8692208Z __ TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 ___ 2025-12-04T09:29:36.8692290Z Traceback (most recent call last): 2025-12-04T09:29:36.8692635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper 2025-12-04T09:29:36.8692719Z return test(*args, **kwargs) 2025-12-04T09:29:36.8693033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn 2025-12-04T09:29:36.8693118Z return fn(self, *args, **kwargs) 2025-12-04T09:29:36.8693423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper 2025-12-04T09:29:36.8693490Z fn(*args, **kwargs) 2025-12-04T09:29:36.8693799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper 2025-12-04T09:29:36.8693862Z fn(*args, **kwargs) 2025-12-04T09:29:36.8694067Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 602, in test_comprehensive 2025-12-04T09:29:36.8694182Z self.do_cross_ref(device, dtype, op, run_all=True) 2025-12-04T09:29:36.8694487Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8694558Z fn(*args, **kwargs) 2025-12-04T09:29:36.8694748Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 1004, in do_cross_ref 2025-12-04T09:29:36.8694832Z decomp_vjp_fn(cotangents) 2025-12-04T09:29:36.8695003Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 150, in wrapped 2025-12-04T09:29:36.8695076Z return _autograd_grad( 2025-12-04T09:29:36.8695263Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 118, in _autograd_grad 2025-12-04T09:29:36.8695356Z grad_inputs = torch.autograd.grad( 2025-12-04T09:29:36.8695623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 515, in grad 2025-12-04T09:29:36.8695712Z result = _engine_run_backward( 2025-12-04T09:29:36.8696016Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T09:29:36.8696255Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T09:29:36.8696473Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 887, in __torch_dispatch__ 2025-12-04T09:29:36.8696543Z op_assert_ref( 2025-12-04T09:29:36.8696730Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 236, in op_assert_ref 2025-12-04T09:29:36.8696808Z raise RuntimeError( 2025-12-04T09:29:36.8697295Z RuntimeError: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8697366Z atol = 0.005 2025-12-04T09:29:36.8697516Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8697585Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8697712Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8697781Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8697891Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8697966Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8698261Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8698337Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8698522Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8698594Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8698712Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8698780Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8698783Z 2025-12-04T09:29:36.8698888Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8698961Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8699065Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8699135Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8699240Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8699307Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8699417Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8699482Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8699590Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8699661Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8699767Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8699837Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8699841Z 2025-12-04T09:29:36.8699947Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8700012Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8700134Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8700202Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8700307Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8700387Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8700489Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8700563Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8700667Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8700731Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8700839Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8700906Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8700910Z 2025-12-04T09:29:36.8700912Z 2025-12-04T09:29:36.8701014Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8701090Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8701193Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8701264Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8701374Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8701440Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8701565Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8701630Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8701735Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8701807Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8701907Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8701982Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8701985Z 2025-12-04T09:29:36.8702088Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8702150Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8702262Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8702329Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8702505Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8702576Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8702748Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8702822Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8702929Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8702994Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8703109Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8703175Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8703178Z 2025-12-04T09:29:36.8703281Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8703355Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8703468Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8703548Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8703653Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8703721Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8703836Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8703900Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8704004Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8704077Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8704182Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8704251Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8704261Z 2025-12-04T09:29:36.8704264Z 2025-12-04T09:29:36.8704374Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8704437Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8704553Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8704618Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8704721Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8704798Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8704904Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8704973Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8705077Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8705145Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8705268Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8705337Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8705341Z 2025-12-04T09:29:36.8705447Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8705521Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8705632Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8705702Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8705810Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8705884Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8705997Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8706063Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8706167Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8706241Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8706344Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8706411Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8706424Z 2025-12-04T09:29:36.8706531Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8706686Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8706804Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8706873Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8707062Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8707136Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8707240Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8707307Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8707419Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8707483Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8707594Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8707852Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8707941Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8708027Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8708102Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8708185Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8708194Z 2025-12-04T09:29:36.8708269Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8708341Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8708423Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8708498Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8708578Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8708581Z 2025-12-04T09:29:36.8708659Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8708743Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8708828Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8708902Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8708986Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8708989Z 2025-12-04T09:29:36.8708997Z 2025-12-04T09:29:36.8709074Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8709147Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8709223Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8709302Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8709377Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8709381Z 2025-12-04T09:29:36.8709460Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8709533Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8709607Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8709690Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8709765Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8709768Z 2025-12-04T09:29:36.8709849Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8709931Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8710005Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8710084Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8710165Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8710168Z 2025-12-04T09:29:36.8710171Z 2025-12-04T09:29:36.8710243Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8710322Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8710396Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8710476Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8710634Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8710637Z 2025-12-04T09:29:36.8710712Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8710872Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8710949Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8711030Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8711122Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8711125Z 2025-12-04T09:29:36.8711202Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8711284Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8711358Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8711436Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8711560Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8711691Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8711759Z kwargs = {} 2025-12-04T09:29:36.8711762Z 2025-12-04T09:29:36.8711925Z The above exception was the direct cause of the following exception: 2025-12-04T09:29:36.8711929Z 2025-12-04T09:29:36.8712354Z Traceback (most recent call last): 2025-12-04T09:29:36.8712754Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8712878Z method(*args, **kwargs) 2025-12-04T09:29:36.8713227Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8713307Z method(*args, **kwargs) 2025-12-04T09:29:36.8713660Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test 2025-12-04T09:29:36.8713749Z result = test(self, **param_kwargs) 2025-12-04T09:29:36.8714053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8714121Z fn(*args, **kwargs) 2025-12-04T09:29:36.8714473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper 2025-12-04T09:29:36.8714554Z raise e_tracked from e 2025-12-04T09:29:36.8715030Z Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8715102Z atol = 0.005 2025-12-04T09:29:36.8715254Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8715331Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8715451Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8715522Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8715646Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8715713Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8715826Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8715901Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8716010Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8716083Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8716191Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8716262Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8716266Z 2025-12-04T09:29:36.8716377Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8716454Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8716562Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8716846Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8716955Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8717031Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8717242Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8717308Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8717424Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8717489Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8717610Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8717685Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8717688Z 2025-12-04T09:29:36.8717796Z 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2.8906e-01, 2025-12-04T09:29:36.8718949Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8719056Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8719126Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8719232Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8719310Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8719412Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8719476Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8719585Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8719649Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8719759Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8719833Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8719836Z 2025-12-04T09:29:36.8719939Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8720008Z 1.1016e+00, 1.3125e+00], 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5.5078e-01, 2025-12-04T09:29:36.8721332Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8721505Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8721575Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8721687Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8721754Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8721867Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8721932Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8722040Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8722114Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8722117Z 2025-12-04T09:29:36.8722120Z 2025-12-04T09:29:36.8722223Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8722299Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8722405Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8722475Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8722586Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8722651Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8722754Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8722835Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8722944Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8723011Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8723124Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8723191Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8723199Z 2025-12-04T09:29:36.8723312Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8723377Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8723487Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8723561Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8723667Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8723732Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8723845Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8723917Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8724028Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8724094Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8724201Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8724273Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8724281Z 2025-12-04T09:29:36.8724387Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8724451Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8724585Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8724653Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8724766Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8724832Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8724937Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8725014Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8725119Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8725186Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8725299Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8725632Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8725723Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8725900Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8725981Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8726069Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8726073Z 2025-12-04T09:29:36.8726153Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8726232Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8726314Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8726391Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8726479Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8726482Z 2025-12-04T09:29:36.8726556Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8726636Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8726718Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8726796Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8726881Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8726890Z 2025-12-04T09:29:36.8726894Z 2025-12-04T09:29:36.8726967Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8727041Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8727136Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8727219Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8727302Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8727306Z 2025-12-04T09:29:36.8727389Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8727468Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8727548Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8727621Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8727701Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8727704Z 2025-12-04T09:29:36.8727785Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8727859Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8727932Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8728014Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8728096Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8728099Z 2025-12-04T09:29:36.8728102Z 2025-12-04T09:29:36.8728179Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8728251Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8728331Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8728412Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8728499Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8728507Z 2025-12-04T09:29:36.8728590Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8728666Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8728741Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8728821Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8728893Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8728897Z 2025-12-04T09:29:36.8728968Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8729047Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8729121Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8729273Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8729404Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8729531Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8729666Z kwargs = {} 2025-12-04T09:29:36.8729670Z 2025-12-04T09:29:36.8730078Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.8730082Z 2025-12-04T09:29:36.8730215Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.8730572Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.8730577Z 2025-12-04T09:29:36.8730743Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.8730937Z __ TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 ___ 2025-12-04T09:29:36.8731022Z Traceback (most recent call last): 2025-12-04T09:29:36.8731374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper 2025-12-04T09:29:36.8731456Z return test(*args, **kwargs) 2025-12-04T09:29:36.8731775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn 2025-12-04T09:29:36.8731855Z return fn(self, *args, **kwargs) 2025-12-04T09:29:36.8732156Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper 2025-12-04T09:29:36.8732222Z fn(*args, **kwargs) 2025-12-04T09:29:36.8732524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper 2025-12-04T09:29:36.8732588Z fn(*args, **kwargs) 2025-12-04T09:29:36.8732800Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 602, in test_comprehensive 2025-12-04T09:29:36.8732916Z self.do_cross_ref(device, dtype, op, run_all=True) 2025-12-04T09:29:36.8733218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8733289Z fn(*args, **kwargs) 2025-12-04T09:29:36.8733482Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 1011, in do_cross_ref 2025-12-04T09:29:36.8733558Z decomp_vjp_fn(cotangents) 2025-12-04T09:29:36.8733736Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 150, in wrapped 2025-12-04T09:29:36.8733808Z return _autograd_grad( 2025-12-04T09:29:36.8733996Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 118, in _autograd_grad 2025-12-04T09:29:36.8734086Z grad_inputs = torch.autograd.grad( 2025-12-04T09:29:36.8734350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 515, in grad 2025-12-04T09:29:36.8734446Z result = _engine_run_backward( 2025-12-04T09:29:36.8734740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T09:29:36.8734984Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T09:29:36.8735192Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 887, in __torch_dispatch__ 2025-12-04T09:29:36.8735260Z op_assert_ref( 2025-12-04T09:29:36.8735451Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 236, in op_assert_ref 2025-12-04T09:29:36.8735531Z raise RuntimeError( 2025-12-04T09:29:36.8736017Z RuntimeError: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8736087Z atol = 0.005 2025-12-04T09:29:36.8736232Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8736386Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8736509Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8736649Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8736775Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8736854Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8736961Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8737035Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8737145Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8737211Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8737326Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8737397Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8737404Z 2025-12-04T09:29:36.8737516Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8737591Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8737702Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8737785Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8737895Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8737962Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8738168Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8738237Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8738345Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8738420Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8738528Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8738604Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8738612Z 2025-12-04T09:29:36.8738719Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8738784Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8738899Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8738964Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8739069Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8739138Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8739255Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8739325Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8739432Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8739497Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8739608Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8739675Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8739682Z 2025-12-04T09:29:36.8739685Z 2025-12-04T09:29:36.8739790Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8739871Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8739981Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8740052Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8740156Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8740223Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8740329Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8740394Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8740498Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8740568Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8740669Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8740823Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8740829Z 2025-12-04T09:29:36.8740934Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8741066Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8741181Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8741246Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8741350Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8741424Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8741529Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8741597Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8741702Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8741777Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8741891Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8741961Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8741965Z 2025-12-04T09:29:36.8742074Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8742145Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8742250Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8742322Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8742428Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8742494Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8742615Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8742682Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8742788Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8742859Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8742970Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8743045Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8743048Z 2025-12-04T09:29:36.8743051Z 2025-12-04T09:29:36.8743160Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8743226Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8743337Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8743402Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8743508Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8743580Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8743685Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8743757Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8743864Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8743934Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8744055Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8744129Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8744136Z 2025-12-04T09:29:36.8744243Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8744315Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8744429Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8744503Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8744606Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8744671Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8744781Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8744850Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8744955Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8745125Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8745232Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8745374Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8745378Z 2025-12-04T09:29:36.8745489Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8745558Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8745672Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8745738Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8745845Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8745918Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8746024Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8746096Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8746205Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8746274Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8746388Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8746642Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8746737Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8746825Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8746901Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8746990Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8746993Z 2025-12-04T09:29:36.8747072Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8747148Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8747231Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8747314Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8747393Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8747396Z 2025-12-04T09:29:36.8747482Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8747558Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8747640Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8747714Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8747796Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8747799Z 2025-12-04T09:29:36.8747801Z 2025-12-04T09:29:36.8747882Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8747954Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8748028Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8748111Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8748196Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8748199Z 2025-12-04T09:29:36.8748282Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8748362Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8748447Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8748532Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8748610Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8748613Z 2025-12-04T09:29:36.8748696Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8748772Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8748847Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8748926Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8749008Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8749175Z 2025-12-04T09:29:36.8749178Z 2025-12-04T09:29:36.8749251Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8749330Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8749471Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8749556Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8749650Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8749654Z 2025-12-04T09:29:36.8749730Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8749812Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8749889Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8749966Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8750047Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8750050Z 2025-12-04T09:29:36.8750128Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8750209Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8750283Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8750365Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8750493Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8750619Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8750683Z kwargs = {} 2025-12-04T09:29:36.8750686Z 2025-12-04T09:29:36.8750845Z The above exception was the direct cause of the following exception: 2025-12-04T09:29:36.8750849Z 2025-12-04T09:29:36.8750928Z Traceback (most recent call last): 2025-12-04T09:29:36.8751253Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8751323Z method(*args, **kwargs) 2025-12-04T09:29:36.8751626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8751701Z method(*args, **kwargs) 2025-12-04T09:29:36.8752054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test 2025-12-04T09:29:36.8752139Z result = test(self, **param_kwargs) 2025-12-04T09:29:36.8752432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8752497Z fn(*args, **kwargs) 2025-12-04T09:29:36.8752836Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper 2025-12-04T09:29:36.8752907Z raise e_tracked from e 2025-12-04T09:29:36.8753377Z Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8753454Z atol = 0.005 2025-12-04T09:29:36.8753603Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8753684Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8753801Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8753874Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8754003Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8754074Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8754186Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8754259Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8754371Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8754444Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8754554Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8754704Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8754708Z 2025-12-04T09:29:36.8754824Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8754955Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8755066Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8755138Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8755247Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8755318Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8755425Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8755491Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8755617Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8755688Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8755802Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8755881Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8755884Z 2025-12-04T09:29:36.8755996Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8756069Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8756178Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8756244Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8756360Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8756425Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8756532Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8756605Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8756711Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8756778Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8756898Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8756969Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8756973Z 2025-12-04T09:29:36.8756976Z 2025-12-04T09:29:36.8757095Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8757162Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8757268Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8757342Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8757462Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8757534Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8757641Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8757710Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8757827Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8757897Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8758001Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8758072Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8758079Z 2025-12-04T09:29:36.8758184Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8758252Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8758358Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8758422Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8758529Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8758593Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8758699Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8758767Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8758874Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8759026Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8759141Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8759270Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8759275Z 2025-12-04T09:29:36.8759385Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8759451Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8759557Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8759628Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8759734Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8759802Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8759916Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8759982Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8760098Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8760163Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8760274Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8760359Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8760364Z 2025-12-04T09:29:36.8760367Z 2025-12-04T09:29:36.8760474Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8760544Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8760651Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8760716Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8760825Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8760891Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8760996Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8761073Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8761179Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8761245Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8761365Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8761434Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8761438Z 2025-12-04T09:29:36.8761550Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8761616Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8761722Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8761792Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8761899Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8761965Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8762079Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8762149Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8762261Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8762333Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8762440Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8762513Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8762517Z 2025-12-04T09:29:36.8762626Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8762690Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8762803Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8762870Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8762983Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8763049Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8763156Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8763333Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8763443Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8763575Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8763695Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8763947Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8764037Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8764124Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8764200Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8764291Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8764294Z 2025-12-04T09:29:36.8764371Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8771474Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8771611Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8771708Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8771802Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8771807Z 2025-12-04T09:29:36.8771886Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8771963Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8772047Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8772121Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8772208Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8772212Z 2025-12-04T09:29:36.8772220Z 2025-12-04T09:29:36.8772293Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8772366Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8772451Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8772522Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8772605Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8772608Z 2025-12-04T09:29:36.8772687Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8772758Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8772828Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8772917Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8772996Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8772999Z 2025-12-04T09:29:36.8773080Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8773153Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8773225Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8773309Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8773390Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8773394Z 2025-12-04T09:29:36.8773397Z 2025-12-04T09:29:36.8773477Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8773557Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8773632Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8773713Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8773788Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8773791Z 2025-12-04T09:29:36.8773864Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8773940Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8774011Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8774089Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8774289Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8774293Z 2025-12-04T09:29:36.8774364Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8774523Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8774597Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8774671Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8774796Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8774923Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8774991Z kwargs = {} 2025-12-04T09:29:36.8774994Z 2025-12-04T09:29:36.8775407Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.8775411Z 2025-12-04T09:29:36.8775549Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.8775907Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.8775916Z 2025-12-04T09:29:36.8776086Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.8776283Z __ TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 ___ 2025-12-04T09:29:36.8776364Z Traceback (most recent call last): 2025-12-04T09:29:36.8776717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper 2025-12-04T09:29:36.8776801Z return test(*args, **kwargs) 2025-12-04T09:29:36.8777121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn 2025-12-04T09:29:36.8777202Z return fn(self, *args, **kwargs) 2025-12-04T09:29:36.8777503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper 2025-12-04T09:29:36.8777569Z fn(*args, **kwargs) 2025-12-04T09:29:36.8777870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper 2025-12-04T09:29:36.8777933Z fn(*args, **kwargs) 2025-12-04T09:29:36.8778252Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 602, in test_comprehensive 2025-12-04T09:29:36.8778366Z self.do_cross_ref(device, dtype, op, run_all=True) 2025-12-04T09:29:36.8778661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8778730Z fn(*args, **kwargs) 2025-12-04T09:29:36.8778917Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 1004, in do_cross_ref 2025-12-04T09:29:36.8778994Z decomp_vjp_fn(cotangents) 2025-12-04T09:29:36.8779175Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 150, in wrapped 2025-12-04T09:29:36.8779248Z return _autograd_grad( 2025-12-04T09:29:36.8779440Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 118, in _autograd_grad 2025-12-04T09:29:36.8779537Z grad_inputs = torch.autograd.grad( 2025-12-04T09:29:36.8779792Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 515, in grad 2025-12-04T09:29:36.8779877Z result = _engine_run_backward( 2025-12-04T09:29:36.8780169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T09:29:36.8780407Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T09:29:36.8780617Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 887, in __torch_dispatch__ 2025-12-04T09:29:36.8780681Z op_assert_ref( 2025-12-04T09:29:36.8780865Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 236, in op_assert_ref 2025-12-04T09:29:36.8781037Z raise RuntimeError( 2025-12-04T09:29:36.8781589Z RuntimeError: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8781659Z atol = 0.005 2025-12-04T09:29:36.8781806Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8781876Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8782000Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8782070Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8782181Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8782254Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8782361Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8782432Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8782545Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8782610Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8782727Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8782805Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8782809Z 2025-12-04T09:29:36.8782914Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8782990Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8783095Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8783168Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8783273Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8783338Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8783449Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8783517Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8783621Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8783693Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8783801Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8783874Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8783878Z 2025-12-04T09:29:36.8783984Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8784060Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8784171Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8784235Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8784338Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8784410Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8784512Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8784589Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8784693Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8784762Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8784873Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8784940Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8784943Z 2025-12-04T09:29:36.8784946Z 2025-12-04T09:29:36.8785049Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8785119Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8785221Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8785288Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8785392Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8785457Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8785642Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8785705Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8785904Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8785980Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8786081Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8786151Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8786154Z 2025-12-04T09:29:36.8786256Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8786319Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8786427Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8786499Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8786604Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8786680Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8786783Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8786850Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8786959Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8787023Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8787133Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8787197Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8787200Z 2025-12-04T09:29:36.8787302Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8787372Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8787476Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8787547Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8787649Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8787720Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8787829Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8787893Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8788001Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8788072Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8788180Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8788248Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8788258Z 2025-12-04T09:29:36.8788261Z 2025-12-04T09:29:36.8788362Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8788425Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8788544Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8788611Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8788721Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8788794Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8788900Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8788984Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8789092Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8789158Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8789273Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8789340Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8789343Z 2025-12-04T09:29:36.8789446Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8789517Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8789624Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8789693Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8789872Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8789935Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8790117Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8790187Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8790294Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8790366Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8790473Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8790541Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8790550Z 2025-12-04T09:29:36.8790658Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8790726Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8790839Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8790910Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8791013Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8791086Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8791198Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8791266Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8791379Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8791454Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8791569Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8791819Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8791903Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8791990Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8792070Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8792152Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8792162Z 2025-12-04T09:29:36.8792243Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8792320Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8792401Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8792475Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8792553Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8792557Z 2025-12-04T09:29:36.8792638Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8792713Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8792798Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8792870Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8792967Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8792971Z 2025-12-04T09:29:36.8792973Z 2025-12-04T09:29:36.8793052Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8793128Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8793202Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8793279Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8793353Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8793357Z 2025-12-04T09:29:36.8793434Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8793507Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8793590Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8793668Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8793742Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8793821Z 2025-12-04T09:29:36.8793894Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8793973Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8794113Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8794193Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8794272Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8794276Z 2025-12-04T09:29:36.8794279Z 2025-12-04T09:29:36.8794348Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8794425Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8794498Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8794578Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8794651Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8794655Z 2025-12-04T09:29:36.8794727Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8794810Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8794882Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8794959Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8795037Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8795040Z 2025-12-04T09:29:36.8795111Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8795201Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8795277Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8795350Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8795468Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8795589Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8795650Z kwargs = {} 2025-12-04T09:29:36.8795657Z 2025-12-04T09:29:36.8795814Z The above exception was the direct cause of the following exception: 2025-12-04T09:29:36.8795818Z 2025-12-04T09:29:36.8795895Z Traceback (most recent call last): 2025-12-04T09:29:36.8796220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8796290Z method(*args, **kwargs) 2025-12-04T09:29:36.8796585Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8796658Z method(*args, **kwargs) 2025-12-04T09:29:36.8797004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test 2025-12-04T09:29:36.8797085Z result = test(self, **param_kwargs) 2025-12-04T09:29:36.8797381Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8797449Z fn(*args, **kwargs) 2025-12-04T09:29:36.8797789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper 2025-12-04T09:29:36.8797868Z raise e_tracked from e 2025-12-04T09:29:36.8798343Z Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8798412Z atol = 0.005 2025-12-04T09:29:36.8798570Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8798648Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8798762Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8798829Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8798946Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8799014Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8799198Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8799270Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8799448Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8799516Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8799630Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8799697Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8799700Z 2025-12-04T09:29:36.8799809Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8799874Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8799979Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8800050Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8800157Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8800229Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8800340Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8800404Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8800514Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8800580Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8800685Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8800761Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8800764Z 2025-12-04T09:29:36.8800871Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8800939Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8801050Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8801115Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8801232Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8801305Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8801411Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8801486Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8801590Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8801655Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8801767Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8801833Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8801837Z 2025-12-04T09:29:36.8801840Z 2025-12-04T09:29:36.8801959Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8802029Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8802142Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8802217Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8802334Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8802401Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8802513Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8802578Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8802692Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8802757Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8802857Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8802929Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8802932Z 2025-12-04T09:29:36.8803033Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8803096Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8803204Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8803374Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8803483Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8803547Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8803721Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8803793Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8803896Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8803961Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8804082Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8804147Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8804151Z 2025-12-04T09:29:36.8804260Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8804323Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8804424Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8804500Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8804601Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8804665Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8804785Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8804848Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8804956Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8805018Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8805122Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8805193Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8805196Z 2025-12-04T09:29:36.8805200Z 2025-12-04T09:29:36.8805311Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8805376Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8805491Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8805554Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8805663Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8805733Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8805836Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8805909Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8806012Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8806078Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8806190Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8806255Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8806258Z 2025-12-04T09:29:36.8806367Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8806432Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8806537Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8806610Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8806718Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8806782Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8806889Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8806953Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8807063Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8807127Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8807232Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8807304Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8807307Z 2025-12-04T09:29:36.8807414Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8807571Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8807682Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8807746Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8807925Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8807992Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8808096Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8808170Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8808273Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8808339Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8808450Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8808695Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8808787Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8808863Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8808936Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8809025Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8809029Z 2025-12-04T09:29:36.8809103Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8809176Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8809257Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8809331Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8809416Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8809419Z 2025-12-04T09:29:36.8809493Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8809568Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8809655Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8809730Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8809811Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8809815Z 2025-12-04T09:29:36.8809829Z 2025-12-04T09:29:36.8809905Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8809982Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8810064Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8810136Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8810210Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8810214Z 2025-12-04T09:29:36.8810298Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8810373Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8810469Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8810549Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8810625Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8810628Z 2025-12-04T09:29:36.8810719Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8810797Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8810872Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8810952Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8811035Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8811038Z 2025-12-04T09:29:36.8811041Z 2025-12-04T09:29:36.8811119Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8811192Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8811266Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8811347Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8811503Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8811506Z 2025-12-04T09:29:36.8811587Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8811730Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8811817Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8811903Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8812262Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8812269Z 2025-12-04T09:29:36.8812400Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8812491Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8812568Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8812650Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8812767Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8812893Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8812969Z kwargs = {} 2025-12-04T09:29:36.8812973Z 2025-12-04T09:29:36.8813383Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.8813387Z 2025-12-04T09:29:36.8813525Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.8813871Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.8813875Z 2025-12-04T09:29:36.8814034Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.8814222Z __ TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 ___ 2025-12-04T09:29:36.8814301Z Traceback (most recent call last): 2025-12-04T09:29:36.8814649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper 2025-12-04T09:29:36.8814726Z return test(*args, **kwargs) 2025-12-04T09:29:36.8815046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn 2025-12-04T09:29:36.8815129Z return fn(self, *args, **kwargs) 2025-12-04T09:29:36.8815425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper 2025-12-04T09:29:36.8815489Z fn(*args, **kwargs) 2025-12-04T09:29:36.8815804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper 2025-12-04T09:29:36.8815868Z fn(*args, **kwargs) 2025-12-04T09:29:36.8816083Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 602, in test_comprehensive 2025-12-04T09:29:36.8816189Z self.do_cross_ref(device, dtype, op, run_all=True) 2025-12-04T09:29:36.8816495Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8816573Z fn(*args, **kwargs) 2025-12-04T09:29:36.8816764Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 1004, in do_cross_ref 2025-12-04T09:29:36.8816840Z decomp_vjp_fn(cotangents) 2025-12-04T09:29:36.8817015Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 150, in wrapped 2025-12-04T09:29:36.8817082Z return _autograd_grad( 2025-12-04T09:29:36.8817274Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 118, in _autograd_grad 2025-12-04T09:29:36.8817358Z grad_inputs = torch.autograd.grad( 2025-12-04T09:29:36.8817623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 515, in grad 2025-12-04T09:29:36.8817705Z result = _engine_run_backward( 2025-12-04T09:29:36.8818084Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T09:29:36.8818553Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T09:29:36.8818881Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 887, in __torch_dispatch__ 2025-12-04T09:29:36.8818947Z op_assert_ref( 2025-12-04T09:29:36.8819138Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 236, in op_assert_ref 2025-12-04T09:29:36.8819210Z raise RuntimeError( 2025-12-04T09:29:36.8819690Z RuntimeError: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8819757Z atol = 0.005 2025-12-04T09:29:36.8819903Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8819973Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8820090Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8820165Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8820280Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8820351Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8820461Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8820532Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8820639Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8820708Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8820820Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8820887Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8820890Z 2025-12-04T09:29:36.8821000Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8821066Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8821176Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8821246Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8821357Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8821422Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8821535Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8821599Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8821709Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8821775Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8821880Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8821959Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8821964Z 2025-12-04T09:29:36.8822076Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8822141Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8822256Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8822322Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8822439Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8822505Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8822607Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8822681Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8822785Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8822854Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8822964Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8823032Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8823035Z 2025-12-04T09:29:36.8823038Z 2025-12-04T09:29:36.8823149Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8823332Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8823439Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8823577Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8823686Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8823751Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8823860Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8823926Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8824043Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8824118Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8824230Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8824304Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8824307Z 2025-12-04T09:29:36.8824412Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8824489Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8824600Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8824669Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8824782Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8824848Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8824955Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8825025Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8825129Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8825193Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8825301Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8825364Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8825372Z 2025-12-04T09:29:36.8825480Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8825554Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8825663Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8825732Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8825834Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8825898Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8826011Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8826074Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8826178Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8826248Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8826352Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8826424Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8826431Z 2025-12-04T09:29:36.8826434Z 2025-12-04T09:29:36.8826536Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8826599Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8826717Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8826782Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8826891Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8826956Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8827062Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8827130Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8827234Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8827298Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8827410Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8827555Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8827558Z 2025-12-04T09:29:36.8827666Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8827896Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8828013Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8828083Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8828188Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8828250Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8828358Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8828422Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8828525Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8828597Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8828703Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8828791Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8828794Z 2025-12-04T09:29:36.8828904Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8828976Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8829086Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8829151Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8829254Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8829324Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8829426Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8829495Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8829598Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8829663Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8829775Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8830027Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8830109Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8830193Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8830267Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8830357Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8830361Z 2025-12-04T09:29:36.8830435Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8830508Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8830590Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8830664Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8830741Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8830757Z 2025-12-04T09:29:36.8830832Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8830907Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8830991Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8831067Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8831148Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8831151Z 2025-12-04T09:29:36.8831154Z 2025-12-04T09:29:36.8831231Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8831303Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8831386Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8831459Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8831534Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8831621Z 2025-12-04T09:29:36.8831707Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8831783Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8831860Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8832008Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8832087Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8832091Z 2025-12-04T09:29:36.8832173Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8832248Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8832325Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8832405Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8832486Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8832489Z 2025-12-04T09:29:36.8832491Z 2025-12-04T09:29:36.8832570Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8832647Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8832720Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8832806Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8832882Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8832885Z 2025-12-04T09:29:36.8832959Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8833041Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8833118Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8833193Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8833273Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8833277Z 2025-12-04T09:29:36.8833349Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8833427Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8833504Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8833579Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8833716Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8833841Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8833903Z kwargs = {} 2025-12-04T09:29:36.8833912Z 2025-12-04T09:29:36.8834064Z The above exception was the direct cause of the following exception: 2025-12-04T09:29:36.8834068Z 2025-12-04T09:29:36.8834144Z Traceback (most recent call last): 2025-12-04T09:29:36.8834466Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8834534Z method(*args, **kwargs) 2025-12-04T09:29:36.8834842Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8834921Z method(*args, **kwargs) 2025-12-04T09:29:36.8835267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test 2025-12-04T09:29:36.8835358Z result = test(self, **param_kwargs) 2025-12-04T09:29:36.8835649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8835712Z fn(*args, **kwargs) 2025-12-04T09:29:36.8836049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper 2025-12-04T09:29:36.8836117Z raise e_tracked from e 2025-12-04T09:29:36.8836591Z Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8836651Z atol = 0.005 2025-12-04T09:29:36.8836798Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8836947Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8837059Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8837210Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8837327Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8837391Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8837499Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8837569Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8837678Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8837747Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8837853Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8837918Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8837921Z 2025-12-04T09:29:36.8838045Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8838113Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8838219Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8838292Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8838398Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8838468Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8838576Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8838645Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8838758Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8838834Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8838941Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8839013Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8839019Z 2025-12-04T09:29:36.8839122Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8839192Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8839301Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8839364Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8839476Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8839538Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8839639Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8839709Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8839811Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8839883Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8839988Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8840053Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8840060Z 2025-12-04T09:29:36.8840063Z 2025-12-04T09:29:36.8840172Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8840238Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8840344Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8840416Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8840522Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8840593Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8840693Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8840757Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8840867Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8840935Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8841038Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8841194Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8841198Z 2025-12-04T09:29:36.8841313Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8841455Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8841562Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8841627Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8841736Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8841801Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8841906Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8841979Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8842084Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8842156Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8842260Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8842331Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8842334Z 2025-12-04T09:29:36.8842451Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8842517Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8842623Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8842701Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8842808Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8842879Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8842994Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8843062Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8843173Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8843249Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8843360Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8843432Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8843436Z 2025-12-04T09:29:36.8843439Z 2025-12-04T09:29:36.8843550Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8843618Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8843723Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8843786Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8843894Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8843958Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8844061Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8844138Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8844251Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8844328Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8844433Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8844503Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8844511Z 2025-12-04T09:29:36.8844620Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8844683Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8844785Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8844855Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8844960Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8845028Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8845129Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8845195Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8845305Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8845458Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8845565Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8845702Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8845705Z 2025-12-04T09:29:36.8845812Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8845880Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8845985Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8846049Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8846156Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8846220Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8846323Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8846402Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8846515Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8846591Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8846695Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8846947Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8847032Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8847109Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8847184Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8847269Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8847272Z 2025-12-04T09:29:36.8847345Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8847425Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8847498Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8847576Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8847658Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8847662Z 2025-12-04T09:29:36.8847742Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8847815Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8847900Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8847975Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8848061Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8848065Z 2025-12-04T09:29:36.8848067Z 2025-12-04T09:29:36.8848141Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8848213Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8848293Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8848364Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8848453Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8848465Z 2025-12-04T09:29:36.8848541Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8848620Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8848703Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8848781Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8848856Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8848859Z 2025-12-04T09:29:36.8848940Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8849014Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8849091Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8849165Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8849244Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8849378Z 2025-12-04T09:29:36.8849381Z 2025-12-04T09:29:36.8849467Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8849613Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8849691Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8849773Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8849848Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8849851Z 2025-12-04T09:29:36.8849943Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8850024Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8850099Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8850181Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8850261Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8850264Z 2025-12-04T09:29:36.8850342Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8850425Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8850501Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8850586Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8850697Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8850826Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8850894Z kwargs = {} 2025-12-04T09:29:36.8850897Z 2025-12-04T09:29:36.8851304Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.8851308Z 2025-12-04T09:29:36.8851448Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.8851800Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.8851808Z 2025-12-04T09:29:36.8851972Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.8852176Z __ TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 ___ 2025-12-04T09:29:36.8852257Z Traceback (most recent call last): 2025-12-04T09:29:36.8852609Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper 2025-12-04T09:29:36.8852685Z return test(*args, **kwargs) 2025-12-04T09:29:36.8853009Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn 2025-12-04T09:29:36.8853093Z return fn(self, *args, **kwargs) 2025-12-04T09:29:36.8853390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper 2025-12-04T09:29:36.8853469Z fn(*args, **kwargs) 2025-12-04T09:29:36.8853769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper 2025-12-04T09:29:36.8853833Z fn(*args, **kwargs) 2025-12-04T09:29:36.8854047Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 602, in test_comprehensive 2025-12-04T09:29:36.8854157Z self.do_cross_ref(device, dtype, op, run_all=True) 2025-12-04T09:29:36.8854457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8854525Z fn(*args, **kwargs) 2025-12-04T09:29:36.8854710Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 1004, in do_cross_ref 2025-12-04T09:29:36.8854784Z decomp_vjp_fn(cotangents) 2025-12-04T09:29:36.8854954Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 150, in wrapped 2025-12-04T09:29:36.8855022Z return _autograd_grad( 2025-12-04T09:29:36.8855212Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 118, in _autograd_grad 2025-12-04T09:29:36.8855376Z grad_inputs = torch.autograd.grad( 2025-12-04T09:29:36.8856143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 515, in grad 2025-12-04T09:29:36.8856233Z result = _engine_run_backward( 2025-12-04T09:29:36.8856527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T09:29:36.8856762Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T09:29:36.8856972Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 887, in __torch_dispatch__ 2025-12-04T09:29:36.8857035Z op_assert_ref( 2025-12-04T09:29:36.8857223Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 236, in op_assert_ref 2025-12-04T09:29:36.8857291Z raise RuntimeError( 2025-12-04T09:29:36.8857772Z RuntimeError: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8857843Z atol = 0.005 2025-12-04T09:29:36.8858114Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8858186Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8858304Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8858372Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8858485Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8858551Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8858657Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8858728Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8858840Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8858910Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8859023Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8859101Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8859105Z 2025-12-04T09:29:36.8859220Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8859286Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8859393Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8859462Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8859568Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8859631Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8859742Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8859806Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8859918Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8859989Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8860093Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8860166Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8860175Z 2025-12-04T09:29:36.8860279Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8860344Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8860456Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8860520Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8860632Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8860695Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8860796Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8860869Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8860972Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8861119Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8861231Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8861368Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8861371Z 2025-12-04T09:29:36.8861374Z 2025-12-04T09:29:36.8861484Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8861551Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8861655Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8861725Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8861831Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8861896Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8862004Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8862067Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8862181Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8862244Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8862350Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8862424Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8862427Z 2025-12-04T09:29:36.8862530Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8862596Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8862719Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8862785Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8862893Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8862957Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8863061Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8863138Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8863245Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8863309Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8863430Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8863496Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8863500Z 2025-12-04T09:29:36.8863610Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8863675Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8863778Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8863851Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8863954Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8864018Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8864135Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8864203Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8864309Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8864385Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8864491Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8864560Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8864564Z 2025-12-04T09:29:36.8864566Z 2025-12-04T09:29:36.8864667Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8864730Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8864844Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8864907Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8865012Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8865076Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8865258Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8865335Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8865513Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8865583Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8865697Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8865764Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8865767Z 2025-12-04T09:29:36.8865881Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8865946Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8866049Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8866126Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8866231Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8866299Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8866404Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8866468Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8866575Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8866645Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8866749Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8866819Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8866823Z 2025-12-04T09:29:36.8866928Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8866991Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8867100Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8867164Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8867266Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8867339Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8867451Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8867526Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8867646Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8867720Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8867840Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8868090Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8868175Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8868261Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8868336Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8868425Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8868431Z 2025-12-04T09:29:36.8868508Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8868581Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8868665Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8868741Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8868820Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8868830Z 2025-12-04T09:29:36.8868905Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8868979Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8869061Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8869146Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8869233Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8869236Z 2025-12-04T09:29:36.8874196Z 2025-12-04T09:29:36.8874424Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8874514Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8874592Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8874754Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8874840Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8874844Z 2025-12-04T09:29:36.8874926Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8875000Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8875072Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8875152Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8875228Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8875232Z 2025-12-04T09:29:36.8875307Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8875414Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8875497Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8875569Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8875656Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8875660Z 2025-12-04T09:29:36.8875663Z 2025-12-04T09:29:36.8875757Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8875830Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8875912Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8875994Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8876071Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8876074Z 2025-12-04T09:29:36.8876157Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8876231Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8876308Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8876388Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8876463Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8876466Z 2025-12-04T09:29:36.8876548Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8876621Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8876696Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8876777Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8876899Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8877040Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8877113Z kwargs = {} 2025-12-04T09:29:36.8877117Z 2025-12-04T09:29:36.8877276Z The above exception was the direct cause of the following exception: 2025-12-04T09:29:36.8877282Z 2025-12-04T09:29:36.8877379Z Traceback (most recent call last): 2025-12-04T09:29:36.8877704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8877776Z method(*args, **kwargs) 2025-12-04T09:29:36.8878085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8878151Z method(*args, **kwargs) 2025-12-04T09:29:36.8878500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test 2025-12-04T09:29:36.8878587Z result = test(self, **param_kwargs) 2025-12-04T09:29:36.8878877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8878951Z fn(*args, **kwargs) 2025-12-04T09:29:36.8879286Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper 2025-12-04T09:29:36.8879514Z raise e_tracked from e 2025-12-04T09:29:36.8880083Z Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8880145Z atol = 0.005 2025-12-04T09:29:36.8880301Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8880369Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8880489Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8880566Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8880675Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8880742Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8880862Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8880934Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8881042Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8881113Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8881231Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8881302Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8881306Z 2025-12-04T09:29:36.8881409Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8881474Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8881583Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8881646Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8881750Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8881818Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8881922Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8881994Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8882099Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8882167Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8882284Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8882349Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8882352Z 2025-12-04T09:29:36.8882456Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8882526Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8882629Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8882697Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8882798Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8882871Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8882983Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8883050Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8883151Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8883227Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8883329Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8883400Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8883403Z 2025-12-04T09:29:36.8883406Z 2025-12-04T09:29:36.8883510Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8883574Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8883683Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8883747Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8883853Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8883995Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8884131Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8884202Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8884371Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8884436Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8884543Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8884612Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8884615Z 2025-12-04T09:29:36.8884714Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8884782Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8884888Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8884963Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8885069Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8885137Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8885246Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8885309Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8885415Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8885486Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8885589Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8885660Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8885664Z 2025-12-04T09:29:36.8885765Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8885839Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8885953Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8886018Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8886119Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8886193Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8886298Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8886369Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8886479Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8886546Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8886665Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8886733Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8886737Z 2025-12-04T09:29:36.8886739Z 2025-12-04T09:29:36.8886844Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8886918Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8887025Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8887099Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8887209Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8887275Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8887389Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8887455Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8887560Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8887636Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8887742Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8887818Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8887821Z 2025-12-04T09:29:36.8887925Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8887989Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8888098Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8888223Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8888374Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8888448Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8888624Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8888697Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8888803Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8888868Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8888978Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8889043Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8889047Z 2025-12-04T09:29:36.8889154Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8889223Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8889325Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8889400Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8889504Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8889566Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8889678Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8889742Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8889848Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8889918Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8890019Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8890279Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8890370Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8890450Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8890535Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8890617Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8890620Z 2025-12-04T09:29:36.8890699Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8890782Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8890856Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8890935Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8891013Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8891016Z 2025-12-04T09:29:36.8891088Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8891166Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8891244Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8891318Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8891413Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8891417Z 2025-12-04T09:29:36.8891419Z 2025-12-04T09:29:36.8891493Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8891574Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8891646Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8891718Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8891800Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8891803Z 2025-12-04T09:29:36.8891875Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8891954Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8892027Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8892101Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8892182Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8892271Z 2025-12-04T09:29:36.8892347Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8892418Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8892565Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8892641Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8892725Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8892729Z 2025-12-04T09:29:36.8892731Z 2025-12-04T09:29:36.8892802Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8892874Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8892954Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8893029Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8893104Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8893113Z 2025-12-04T09:29:36.8893195Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8893271Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8893352Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8893443Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8893520Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8893523Z 2025-12-04T09:29:36.8893603Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8893678Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8893752Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8893832Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8893945Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8894075Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8894135Z kwargs = {} 2025-12-04T09:29:36.8894145Z 2025-12-04T09:29:36.8894581Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.8894585Z 2025-12-04T09:29:36.8894722Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.8895082Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.8895086Z 2025-12-04T09:29:36.8895250Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.8895441Z __ TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 ___ 2025-12-04T09:29:36.8895527Z Traceback (most recent call last): 2025-12-04T09:29:36.8895872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper 2025-12-04T09:29:36.8895958Z return test(*args, **kwargs) 2025-12-04T09:29:36.8896285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn 2025-12-04T09:29:36.8896362Z return fn(self, *args, **kwargs) 2025-12-04T09:29:36.8896670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper 2025-12-04T09:29:36.8896734Z fn(*args, **kwargs) 2025-12-04T09:29:36.8897034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper 2025-12-04T09:29:36.8897097Z fn(*args, **kwargs) 2025-12-04T09:29:36.8897299Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 602, in test_comprehensive 2025-12-04T09:29:36.8897414Z self.do_cross_ref(device, dtype, op, run_all=True) 2025-12-04T09:29:36.8897708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8897871Z fn(*args, **kwargs) 2025-12-04T09:29:36.8898184Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 1004, in do_cross_ref 2025-12-04T09:29:36.8898261Z decomp_vjp_fn(cotangents) 2025-12-04T09:29:36.8898524Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 150, in wrapped 2025-12-04T09:29:36.8898597Z return _autograd_grad( 2025-12-04T09:29:36.8898784Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 118, in _autograd_grad 2025-12-04T09:29:36.8898873Z grad_inputs = torch.autograd.grad( 2025-12-04T09:29:36.8899120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 515, in grad 2025-12-04T09:29:36.8899195Z result = _engine_run_backward( 2025-12-04T09:29:36.8899487Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T09:29:36.8899727Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T09:29:36.8899942Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 887, in __torch_dispatch__ 2025-12-04T09:29:36.8900008Z op_assert_ref( 2025-12-04T09:29:36.8900197Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 236, in op_assert_ref 2025-12-04T09:29:36.8900271Z raise RuntimeError( 2025-12-04T09:29:36.8900752Z RuntimeError: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8900812Z atol = 0.005 2025-12-04T09:29:36.8900965Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8901041Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8901161Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8901231Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8901340Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8901421Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8901530Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8901598Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8901711Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8901777Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8901882Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8901966Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8901969Z 2025-12-04T09:29:36.8902074Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8902143Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8902245Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8902309Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8902427Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8902489Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8902598Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8902668Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8902773Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8902845Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8902948Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8903013Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8903017Z 2025-12-04T09:29:36.8903131Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8903196Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8903300Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8903463Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8903567Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8903647Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8903822Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8903888Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8904000Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8904064Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8904166Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8904241Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8904244Z 2025-12-04T09:29:36.8904247Z 2025-12-04T09:29:36.8904350Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8904421Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8904522Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8904591Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8904705Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8904776Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8904878Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8904958Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8905063Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8905132Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8905233Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8905300Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8905303Z 2025-12-04T09:29:36.8905414Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8905477Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8905587Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8905655Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8905757Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8905833Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8905940Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8906004Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8906114Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8906180Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8906285Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8906359Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8906362Z 2025-12-04T09:29:36.8906464Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8906537Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8906642Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8906706Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8906820Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8906885Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8906991Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8907062Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8907167Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8907239Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8907344Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8907409Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8907412Z 2025-12-04T09:29:36.8907415Z 2025-12-04T09:29:36.8907535Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8907684Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8907792Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8907862Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8908129Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8908203Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8908306Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8908372Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8908487Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8908552Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8908658Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8908729Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8908732Z 2025-12-04T09:29:36.8908837Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8908918Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8909022Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8909089Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8909196Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8909259Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8909362Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8909433Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8909535Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8909603Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8909707Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8909773Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8909778Z 2025-12-04T09:29:36.8909892Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8909956Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8910072Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8910143Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8910247Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8910315Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8910417Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8910481Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8910587Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8910651Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8910753Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8911006Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8911095Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8911181Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8911257Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8911338Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8911342Z 2025-12-04T09:29:36.8911423Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8911495Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8911573Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8911651Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8911729Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8911733Z 2025-12-04T09:29:36.8911815Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8912239Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8912384Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8912543Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8912828Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8912833Z 2025-12-04T09:29:36.8912837Z 2025-12-04T09:29:36.8912929Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8913005Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8913079Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8913155Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8913235Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8913238Z 2025-12-04T09:29:36.8913311Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8913391Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8913468Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8913550Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8913632Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8913635Z 2025-12-04T09:29:36.8913707Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8913804Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8913890Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8913966Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8914057Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8914060Z 2025-12-04T09:29:36.8914063Z 2025-12-04T09:29:36.8914138Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8914216Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8914298Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8914377Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8914458Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8914461Z 2025-12-04T09:29:36.8914540Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8914613Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8914692Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8914764Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8914843Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8914847Z 2025-12-04T09:29:36.8914916Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8914990Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8915070Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8915144Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8915275Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8915411Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8915476Z kwargs = {} 2025-12-04T09:29:36.8915483Z 2025-12-04T09:29:36.8915648Z The above exception was the direct cause of the following exception: 2025-12-04T09:29:36.8915652Z 2025-12-04T09:29:36.8915734Z Traceback (most recent call last): 2025-12-04T09:29:36.8916062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8916149Z method(*args, **kwargs) 2025-12-04T09:29:36.8916446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:36.8916521Z method(*args, **kwargs) 2025-12-04T09:29:36.8916866Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test 2025-12-04T09:29:36.8917071Z result = test(self, **param_kwargs) 2025-12-04T09:29:36.8917447Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:36.8917513Z fn(*args, **kwargs) 2025-12-04T09:29:36.8917854Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper 2025-12-04T09:29:36.8917937Z raise e_tracked from e 2025-12-04T09:29:36.8918408Z Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8918481Z atol = 0.005 2025-12-04T09:29:36.8918636Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8918705Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8918832Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8918909Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8919021Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8919099Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8919206Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8919283Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8919392Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8919458Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8919570Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8919637Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8919640Z 2025-12-04T09:29:36.8919742Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8919811Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8919917Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8919985Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8920093Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8920155Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8920264Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8920330Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8920432Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8920506Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8920609Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8920687Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8920692Z 2025-12-04T09:29:36.8920804Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8920871Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8920983Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8921044Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8921150Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8921220Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8921323Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8921390Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8921493Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8921557Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8921665Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8921732Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8921735Z 2025-12-04T09:29:36.8921738Z 2025-12-04T09:29:36.8921842Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8921999Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8922112Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8922284Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8922392Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8922458Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8922566Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8922632Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8922734Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8922805Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8922906Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8922977Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8922980Z 2025-12-04T09:29:36.8923087Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8923150Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8923268Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8923339Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8923442Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8923512Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8923615Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8923685Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8923787Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8923851Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8923972Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8924039Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8924046Z 2025-12-04T09:29:36.8924153Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8924225Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8924332Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8924401Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8924505Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8924569Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8924681Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8924744Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8924848Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8924919Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8925024Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8925098Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8925104Z 2025-12-04T09:29:36.8925107Z 2025-12-04T09:29:36.8925209Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8925274Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8925390Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8925454Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8925556Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8925638Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8925744Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8925817Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8925922Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8925987Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8926100Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8926251Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8926254Z 2025-12-04T09:29:36.8926356Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8926497Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8926604Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8926676Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8926779Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8926846Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8926959Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8927024Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8927129Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8927201Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8927307Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8927384Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8927387Z 2025-12-04T09:29:36.8927494Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8927563Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8927680Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8927751Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8927866Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8927934Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8928040Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8928112Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8928217Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8928282Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8928394Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8928651Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8928734Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8928815Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8928891Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8928974Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8928979Z 2025-12-04T09:29:36.8929065Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8929137Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8929216Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8929290Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8929368Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8929374Z 2025-12-04T09:29:36.8929451Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8929523Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8929607Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8929682Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8929764Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8929768Z 2025-12-04T09:29:36.8929770Z 2025-12-04T09:29:36.8929849Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8929921Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8929995Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8930072Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8930146Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8930236Z 2025-12-04T09:29:36.8930316Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8930388Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8930463Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8930630Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8930706Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8930710Z 2025-12-04T09:29:36.8930787Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8930861Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8930936Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8931017Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8931093Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8931096Z 2025-12-04T09:29:36.8931098Z 2025-12-04T09:29:36.8931167Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8931250Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8931324Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8931411Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8931487Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8931490Z 2025-12-04T09:29:36.8931563Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8931644Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8931717Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8931792Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8931872Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8931876Z 2025-12-04T09:29:36.8931947Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8932026Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8932103Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8932178Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8932303Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8932425Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8932487Z kwargs = {} 2025-12-04T09:29:36.8932490Z 2025-12-04T09:29:36.8932907Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.8932911Z 2025-12-04T09:29:36.8933042Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.8933396Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.8933400Z 2025-12-04T09:29:36.8933567Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.8933920Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-20c95a5b7dfce896.xml - 2025-12-04T09:29:36.8934034Z =========================== short test summary info ============================ 2025-12-04T09:29:36.8934829Z FAILED [1.7280s] test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 - Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8934897Z atol = 0.005 2025-12-04T09:29:36.8935044Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8935116Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8935225Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8935345Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8935494Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8935561Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8935737Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8941305Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8941476Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8941552Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8941683Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8941755Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8941760Z 2025-12-04T09:29:36.8941883Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8941954Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8942067Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8942157Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8942266Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8942332Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8942449Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8942515Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8942623Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8942694Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8942799Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8942872Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8942875Z 2025-12-04T09:29:36.8942980Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8943046Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8943156Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8943224Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8943327Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8943402Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8943513Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8943587Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8943690Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8943756Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8943870Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8943938Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8943941Z 2025-12-04T09:29:36.8943945Z 2025-12-04T09:29:36.8944057Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8944123Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8944231Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8944305Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8944414Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8944479Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8944590Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8944654Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8944756Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8944827Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8944928Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8945000Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8945004Z 2025-12-04T09:29:36.8945107Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8945311Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8945424Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8945489Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8945668Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8945741Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8945848Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8945922Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8946037Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8946104Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8946221Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8946288Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8946293Z 2025-12-04T09:29:36.8946394Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8946471Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8946576Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8946646Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8946752Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8946816Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8946926Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8946989Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8947091Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8947162Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8947265Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8947338Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8947342Z 2025-12-04T09:29:36.8947348Z 2025-12-04T09:29:36.8947452Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8947517Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8947628Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8947695Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8947800Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8947871Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8947973Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8948041Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8948145Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8948209Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8948320Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8948387Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8948394Z 2025-12-04T09:29:36.8948496Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8948565Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8948670Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8948742Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8948856Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8948923Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8949031Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8949096Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8949203Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8949275Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8949378Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8949499Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8949541Z 2025-12-04T09:29:36.8949647Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8949712Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8949897Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8949966Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8950071Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8950141Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8950242Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8950315Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8950419Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8950485Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8950605Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8950864Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8950950Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8951038Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8951115Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8951205Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8951209Z 2025-12-04T09:29:36.8951284Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8951359Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8951440Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8951512Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8951589Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8951595Z 2025-12-04T09:29:36.8951676Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8951749Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8951828Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8951908Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8951990Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8951993Z 2025-12-04T09:29:36.8951996Z 2025-12-04T09:29:36.8952075Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8952148Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8952241Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8952315Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8952391Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8952394Z 2025-12-04T09:29:36.8952472Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8952548Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8952629Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8952716Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8952796Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8952799Z 2025-12-04T09:29:36.8952880Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8952954Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8953027Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8953110Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8953187Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8953191Z 2025-12-04T09:29:36.8953193Z 2025-12-04T09:29:36.8953264Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8953343Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8953537Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8953620Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8953766Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8953770Z 2025-12-04T09:29:36.8953844Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8953927Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8954011Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8954088Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8954175Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8954178Z 2025-12-04T09:29:36.8954250Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8954333Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8954410Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8954488Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8954611Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8954743Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8954807Z kwargs = {} 2025-12-04T09:29:36.8954817Z 2025-12-04T09:29:36.8955226Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.8955230Z 2025-12-04T09:29:36.8955361Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.8955732Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.8955737Z 2025-12-04T09:29:36.8955905Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.8956698Z FAILED [1.2230s] test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 - Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8956761Z atol = 0.005 2025-12-04T09:29:36.8956912Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8956989Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8957102Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8957169Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8957286Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8957351Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8957461Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8957530Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8957638Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8957710Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8957821Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8957889Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8957900Z 2025-12-04T09:29:36.8958004Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8958070Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8958181Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8958245Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8958352Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8958421Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8958537Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8958713Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8958823Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8958888Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8959069Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8959138Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8959142Z 2025-12-04T09:29:36.8959253Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8959333Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8959438Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8959504Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8959616Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8959679Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8959787Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8959856Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8959959Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8960034Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8960140Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8960207Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8960211Z 2025-12-04T09:29:36.8960220Z 2025-12-04T09:29:36.8960323Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 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2025-12-04T09:29:36.8961568Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8961632Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8961740Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8961806Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8961921Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8961986Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8962093Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8962164Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8962268Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8962332Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8962335Z 2025-12-04T09:29:36.8962444Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8962507Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8962618Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8962682Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8962795Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8962949Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8963056Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8963121Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8963310Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8963377Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8963500Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8963572Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8963576Z 2025-12-04T09:29:36.8963579Z 2025-12-04T09:29:36.8963681Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8963750Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8963857Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8963922Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8964038Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8964102Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8964211Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8964281Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8964386Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8964458Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8964567Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8964633Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8964636Z 2025-12-04T09:29:36.8964746Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8964811Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8964916Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8964978Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8965084Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8965164Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8965273Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8965340Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8965449Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8965511Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8965619Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8965682Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8965685Z 2025-12-04T09:29:36.8965790Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8965862Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8965962Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8966029Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8966141Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8966205Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8966323Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8966392Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8966499Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8966570Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8966672Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8966920Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8967008Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8967086Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8967253Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8967334Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8967337Z 2025-12-04T09:29:36.8967476Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8967557Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8967633Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8967705Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8967789Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8967792Z 2025-12-04T09:29:36.8967864Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8967942Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8968017Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8968102Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8968195Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8968199Z 2025-12-04T09:29:36.8968202Z 2025-12-04T09:29:36.8968273Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8968353Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8968445Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8968517Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8968601Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8968607Z 2025-12-04T09:29:36.8968681Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8968754Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8968834Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8968906Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8968982Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8968995Z 2025-12-04T09:29:36.8969071Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8969144Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8969227Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8969301Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8969383Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8969386Z 2025-12-04T09:29:36.8969389Z 2025-12-04T09:29:36.8969467Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8969538Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8969618Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8969694Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8969769Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8969772Z 2025-12-04T09:29:36.8969853Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8969934Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8970004Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8970096Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8970171Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8970175Z 2025-12-04T09:29:36.8970252Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8970328Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8970403Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8970484Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8970599Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8970724Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8970791Z kwargs = {} 2025-12-04T09:29:36.8970861Z 2025-12-04T09:29:36.8971315Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.8971318Z 2025-12-04T09:29:36.8971528Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.8972624Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.8972631Z 2025-12-04T09:29:36.8972833Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.8973600Z FAILED [1.4005s] test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 - Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8973667Z atol = 0.005 2025-12-04T09:29:36.8973827Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8973896Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8974013Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8974088Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8974194Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8974276Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8974383Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8974449Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8974563Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8974631Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8974741Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8974816Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8974823Z 2025-12-04T09:29:36.8974927Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8975001Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8975110Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8975176Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8975289Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8975441Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8975554Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8975624Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8975729Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8975843Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8975950Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8976020Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8976023Z 2025-12-04T09:29:36.8976135Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8976200Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8976305Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8976375Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8976475Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8976545Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8976647Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8976709Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8976816Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8976879Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8976980Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8977164Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8977168Z 2025-12-04T09:29:36.8977171Z 2025-12-04T09:29:36.8977275Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8977414Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8977517Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8977583Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8977693Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8977758Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8977856Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8977925Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8978137Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8978212Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8978320Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8978388Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8978391Z 2025-12-04T09:29:36.8978505Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8978568Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8978670Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8978745Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8978845Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8978915Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8979018Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8979080Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8979206Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8979274Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8979392Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8979459Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8979463Z 2025-12-04T09:29:36.8979576Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8979645Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8979748Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8979819Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8979933Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8980001Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8980388Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8980465Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8980883Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8980977Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8981090Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8981165Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8981169Z 2025-12-04T09:29:36.8981175Z 2025-12-04T09:29:36.8981285Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8981351Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8981464Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8981527Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8981636Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8981705Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8981810Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8981881Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8982055Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8982154Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8982279Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8982416Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8982421Z 2025-12-04T09:29:36.8982532Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8982601Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8982708Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8982779Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8982881Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8982946Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8983057Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8983121Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8983228Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8983301Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8983417Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8983488Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8983491Z 2025-12-04T09:29:36.8983600Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8983663Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8983770Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8983834Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8983936Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.8984004Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.8984106Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.8984183Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.8984293Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.8984357Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.8984471Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.8984722Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.8984805Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.8984891Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.8984964Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.8985048Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.8985052Z 2025-12-04T09:29:36.8985126Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.8985197Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.8985280Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.8985356Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.8985433Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.8985446Z 2025-12-04T09:29:36.8985520Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.8985603Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.8985686Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.8985759Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.8985843Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.8985846Z 2025-12-04T09:29:36.8985849Z 2025-12-04T09:29:36.8985930Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.8986006Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.8986085Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.8986316Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.8986392Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.8986395Z 2025-12-04T09:29:36.8986569Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.8986647Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.8986723Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.8986805Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.8986881Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.8986885Z 2025-12-04T09:29:36.8986966Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.8987037Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.8987109Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.8987187Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.8987268Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.8987271Z 2025-12-04T09:29:36.8987275Z 2025-12-04T09:29:36.8987354Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.8987428Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.8987501Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.8987585Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.8987661Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.8987664Z 2025-12-04T09:29:36.8987738Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.8987818Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.8987891Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.8987970Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.8988054Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.8988060Z 2025-12-04T09:29:36.8988133Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.8988214Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.8988289Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.8988365Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.8988489Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.8988608Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.8988675Z kwargs = {} 2025-12-04T09:29:36.8988679Z 2025-12-04T09:29:36.8989086Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.8989089Z 2025-12-04T09:29:36.8989218Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.8989576Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.8989580Z 2025-12-04T09:29:36.8989747Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.8990519Z FAILED [1.2502s] test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 - Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.8990580Z atol = 0.005 2025-12-04T09:29:36.8990727Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.8990799Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.8990910Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.8990984Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.8991169Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.8991237Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.8991364Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.8991495Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.8991605Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.8991676Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.8991781Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.8991857Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.8991861Z 2025-12-04T09:29:36.8991963Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.8992027Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.8992134Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.8992199Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.8992314Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.8992383Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.8992491Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.8992561Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.8992664Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.8992729Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.8992836Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.8992899Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.8992903Z 2025-12-04T09:29:36.8993007Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.8993076Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.8993178Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.8993248Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.8993350Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.8993424Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.8993534Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.8993600Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.8993700Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.8993770Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.8993875Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.8993942Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.8993951Z 2025-12-04T09:29:36.8993954Z 2025-12-04T09:29:36.8994055Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.8994119Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.8994229Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.8994294Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.8994396Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.8994468Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.8994568Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.8994637Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.8994740Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.8994806Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.8994914Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.8994979Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.8994983Z 2025-12-04T09:29:36.8995085Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.8995165Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.8995353Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.8995424Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.8995594Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.8995660Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.8995771Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.8995835Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.8995937Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.8996010Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.8996113Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.8996179Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.8996189Z 2025-12-04T09:29:36.8996292Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.8996358Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.8996471Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.8996535Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.8996650Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.8996725Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.8996831Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.8996897Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.8997005Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.8997074Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.8997187Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.8997252Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.8997255Z 2025-12-04T09:29:36.8997258Z 2025-12-04T09:29:36.8997362Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.8997436Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.8997541Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.8997613Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.8997719Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.8997783Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.8997890Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.8997955Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.8998058Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.8998140Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.8998249Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.8998317Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.8998328Z 2025-12-04T09:29:36.8998437Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.8998501Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.8998609Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.8998676Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.8998779Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.8998849Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.8998952Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.8999016Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.8999130Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.8999195Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.8999305Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.8999371Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.8999457Z 2025-12-04T09:29:36.8999564Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.8999634Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.8999801Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.8999867Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.8999976Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.9000044Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.9000153Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.9000218Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.9000323Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.9000403Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.9000508Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.9000750Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.9000836Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.9000913Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.9000995Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.9001072Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.9001076Z 2025-12-04T09:29:36.9001150Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.9001228Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.9001301Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.9001377Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.9001463Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.9001466Z 2025-12-04T09:29:36.9001537Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.9001629Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.9001706Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.9001784Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.9001870Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.9001874Z 2025-12-04T09:29:36.9001876Z 2025-12-04T09:29:36.9001949Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.9002025Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.9002101Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.9002171Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.9002248Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.9002251Z 2025-12-04T09:29:36.9002322Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.9002396Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.9002478Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.9002551Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.9002632Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.9002635Z 2025-12-04T09:29:36.9002710Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.9002784Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.9002862Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.9002932Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.9003020Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.9003023Z 2025-12-04T09:29:36.9003032Z 2025-12-04T09:29:36.9003105Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.9003177Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.9003301Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.9003411Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.9003487Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.9003490Z 2025-12-04T09:29:36.9003655Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.9003730Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.9003808Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.9003881Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.9003956Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.9003959Z 2025-12-04T09:29:36.9004042Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.9004116Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.9004200Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.9004285Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.9004399Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.9004522Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.9004586Z kwargs = {} 2025-12-04T09:29:36.9004590Z 2025-12-04T09:29:36.9004992Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.9004996Z 2025-12-04T09:29:36.9005128Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.9005472Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.9005476Z 2025-12-04T09:29:36.9005642Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.9006402Z FAILED [1.4187s] test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 - Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.9006468Z atol = 0.005 2025-12-04T09:29:36.9006623Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.9006699Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.9006815Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.9006881Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.9006988Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.9007061Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.9007164Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.9007228Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.9007342Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.9007409Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.9007515Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.9007588Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.9007592Z 2025-12-04T09:29:36.9007697Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.9007770Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.9007878Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.9007954Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.9008068Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.9008133Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.9008238Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.9008312Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.9008494Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.9008567Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.9008741Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.9008808Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.9008811Z 2025-12-04T09:29:36.9008934Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.9009001Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.9009104Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.9009175Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.9009279Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.9009349Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.9009452Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.9009519Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.9009628Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.9009693Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.9009801Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.9009872Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.9009876Z 2025-12-04T09:29:36.9009879Z 2025-12-04T09:29:36.9009981Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.9010054Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.9010156Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.9010222Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.9010332Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.9010396Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.9010496Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.9010568Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.9010667Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.9010738Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.9010838Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.9010902Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.9010905Z 2025-12-04T09:29:36.9011014Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.9011088Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.9011195Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.9011267Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.9011368Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.9011437Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.9011542Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.9011605Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.9011713Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.9011778Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.9011884Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.9011954Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.9011957Z 2025-12-04T09:29:36.9012370Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.9012448Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.9012554Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.9012622Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.9012728Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.9012935Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.9013106Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.9013180Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.9013388Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.9013463Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.9013570Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.9013636Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.9013639Z 2025-12-04T09:29:36.9013643Z 2025-12-04T09:29:36.9013751Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.9013814Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.9013918Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.9013987Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.9014091Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.9014167Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.9014271Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.9014337Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.9014450Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.9014517Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.9014622Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.9014696Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.9014699Z 2025-12-04T09:29:36.9014803Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.9014873Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.9014975Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.9015039Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.9015148Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.9015214Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.9015318Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.9015394Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.9015496Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.9015567Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.9015672Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.9015738Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.9015742Z 2025-12-04T09:29:36.9015856Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.9015919Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.9016022Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.9016094Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.9016201Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.9016275Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.9016395Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.9016461Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.9016572Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.9016637Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.9016741Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.9017012Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.9017092Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.9017177Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.9017252Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.9017411Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.9017415Z 2025-12-04T09:29:36.9017498Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.9017648Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.9017728Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.9017811Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.9017890Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.9017893Z 2025-12-04T09:29:36.9017973Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.9018140Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.9018224Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.9018307Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.9018388Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.9018397Z 2025-12-04T09:29:36.9018399Z 2025-12-04T09:29:36.9018479Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.9018553Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.9018630Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.9018708Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.9018789Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.9018793Z 2025-12-04T09:29:36.9018867Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.9018944Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.9019017Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.9019095Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.9019179Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.9019182Z 2025-12-04T09:29:36.9019260Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.9019342Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.9019416Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.9019491Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.9019578Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.9019581Z 2025-12-04T09:29:36.9019584Z 2025-12-04T09:29:36.9019657Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.9019733Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.9019807Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.9019880Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.9019961Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.9019964Z 2025-12-04T09:29:36.9020035Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.9020110Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.9020191Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.9020264Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.9020346Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.9020349Z 2025-12-04T09:29:36.9020422Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.9020496Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.9020575Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.9020648Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.9020763Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.9020886Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.9020948Z kwargs = {} 2025-12-04T09:29:36.9020951Z 2025-12-04T09:29:36.9021361Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.9021476Z 2025-12-04T09:29:36.9021676Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.9022024Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.9022034Z 2025-12-04T09:29:36.9022194Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.9022955Z FAILED [1.4045s] test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 - Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.9023032Z atol = 0.005 2025-12-04T09:29:36.9023182Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.9023258Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.9023367Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.9023434Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.9023549Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.9023614Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.9023719Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.9023792Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.9023896Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.9023959Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.9024067Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.9024134Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.9024139Z 2025-12-04T09:29:36.9024251Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.9024317Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.9024420Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.9024493Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.9024598Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.9024663Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.9024775Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.9024838Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.9024948Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.9025015Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.9025123Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.9025196Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.9025202Z 2025-12-04T09:29:36.9025308Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.9025373Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.9025485Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.9025548Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.9025659Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.9025723Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.9025825Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.9025894Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.9025996Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.9026061Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.9026170Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.9026297Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.9026336Z 2025-12-04T09:29:36.9026339Z 2025-12-04T09:29:36.9026450Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.9026515Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.9026688Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.9026764Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.9026868Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.9026932Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.9027042Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.9027106Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.9027220Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.9027287Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.9027391Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.9027469Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.9027472Z 2025-12-04T09:29:36.9027576Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.9027649Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.9027777Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.9027845Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.9027959Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.9028024Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.9028133Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.9028204Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.9028312Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.9028377Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.9028494Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.9028577Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.9028581Z 2025-12-04T09:29:36.9028697Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.9028763Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.9028869Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.9028938Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.9029040Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.9029105Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.9029218Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.9029280Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.9029398Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.9029465Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.9029573Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.9029645Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.9029651Z 2025-12-04T09:29:36.9029654Z 2025-12-04T09:29:36.9029759Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.9029822Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.9029931Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.9029995Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.9030104Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.9030169Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.9030270Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.9030348Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.9030455Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.9030608Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.9030720Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.9030787Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.9030857Z 2025-12-04T09:29:36.9030967Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.9031033Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.9031136Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.9031203Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.9031304Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.9031367Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.9031474Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.9031538Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.9031645Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.9031724Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.9031831Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.9031907Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.9031910Z 2025-12-04T09:29:36.9032016Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.9032085Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.9032194Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.9032258Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.9032365Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.9032427Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.9032529Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.9032599Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.9032707Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.9032772Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.9032891Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.9033145Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.9033237Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.9033316Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.9033391Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.9033482Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.9033486Z 2025-12-04T09:29:36.9033561Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.9033634Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.9033714Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.9033792Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.9033876Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.9033879Z 2025-12-04T09:29:36.9033956Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.9034030Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.9034111Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.9034196Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.9034278Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.9034281Z 2025-12-04T09:29:36.9034290Z 2025-12-04T09:29:36.9034365Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.9034438Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.9034517Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.9034634Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.9034761Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.9034764Z 2025-12-04T09:29:36.9034845Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.9034987Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.9035074Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.9035147Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.9035224Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.9035227Z 2025-12-04T09:29:36.9035314Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.9035388Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.9035463Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.9035543Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.9035624Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.9035630Z 2025-12-04T09:29:36.9035633Z 2025-12-04T09:29:36.9035714Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.9035790Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.9035881Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.9035964Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.9036042Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.9036045Z 2025-12-04T09:29:36.9036121Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.9036201Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.9036274Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.9036355Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.9036430Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.9036435Z 2025-12-04T09:29:36.9036513Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.9036595Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.9036669Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.9036751Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.9036884Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.9037009Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.9037077Z kwargs = {} 2025-12-04T09:29:36.9037082Z 2025-12-04T09:29:36.9037488Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.9037491Z 2025-12-04T09:29:36.9037621Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.9037980Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.9037987Z 2025-12-04T09:29:36.9038155Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.9038929Z FAILED [1.2285s] test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 - Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.9038993Z atol = 0.005 2025-12-04T09:29:36.9039153Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.9039223Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.9039337Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.9039419Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.9039532Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.9039694Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.9039811Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.9039943Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.9040053Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.9040123Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.9040231Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.9040304Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.9040307Z 2025-12-04T09:29:36.9040411Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.9040476Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.9040587Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.9040651Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.9040756Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.9040830Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.9040946Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.9041019Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.9041123Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.9041188Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.9041302Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.9041367Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.9041370Z 2025-12-04T09:29:36.9041477Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.9041549Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.9041653Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.9041722Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.9041828Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.9041891Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.9042002Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.9042067Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.9042182Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.9042258Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.9042361Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.9042436Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.9042439Z 2025-12-04T09:29:36.9042443Z 2025-12-04T09:29:36.9042545Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.9042610Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.9042719Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.9042788Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.9042893Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.9042964Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.9043069Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.9043141Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.9043244Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.9043310Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.9043417Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.9043483Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.9043486Z 2025-12-04T09:29:36.9043588Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.9043658Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.9043762Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.9043920Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.9044026Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.9044166Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.9044278Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.9044343Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.9044448Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.9044519Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.9044627Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.9044697Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.9044700Z 2025-12-04T09:29:36.9044804Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.9044870Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.9044984Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.9045060Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.9045169Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.9045245Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.9045350Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.9045421Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.9045525Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.9045590Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.9045705Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.9045774Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.9045777Z 2025-12-04T09:29:36.9045781Z 2025-12-04T09:29:36.9045897Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.9045975Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.9046083Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.9046154Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.9046260Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.9046330Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.9046442Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.9046508Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.9046613Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.9046685Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.9046791Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.9046865Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.9046868Z 2025-12-04T09:29:36.9046973Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.9047042Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.9047155Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.9047222Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.9047328Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.9047407Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.9047513Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.9047584Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.9047689Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.9047755Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.9047863Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.9047928Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.9047932Z 2025-12-04T09:29:36.9048080Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.9048186Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.9048288Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.9048420Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.9048526Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.9048590Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.9048697Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.9048761Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.9048863Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.9048942Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.9049047Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.9049304Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.9049387Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.9049465Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.9049551Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.9049629Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.9049632Z 2025-12-04T09:29:36.9049706Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.9049785Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.9049856Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.9049934Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.9050011Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.9050014Z 2025-12-04T09:29:36.9050088Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.9050170Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.9050247Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.9050321Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.9050408Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.9050412Z 2025-12-04T09:29:36.9050415Z 2025-12-04T09:29:36.9050487Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.9050566Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.9050640Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.9050714Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.9050794Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.9050797Z 2025-12-04T09:29:36.9050881Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.9050958Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.9051040Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.9051113Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.9051193Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.9051196Z 2025-12-04T09:29:36.9051273Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.9051347Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.9051430Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.9051502Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.9051581Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.9051591Z 2025-12-04T09:29:36.9051594Z 2025-12-04T09:29:36.9051666Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.9051737Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.9051816Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.9051977Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.9052053Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.9052056Z 2025-12-04T09:29:36.9052220Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.9052296Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.9052376Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.9052461Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.9052538Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.9052541Z 2025-12-04T09:29:36.9052621Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.9052696Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.9052772Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.9052852Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.9052967Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.9053097Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.9053160Z kwargs = {} 2025-12-04T09:29:36.9053163Z 2025-12-04T09:29:36.9053576Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.9053580Z 2025-12-04T09:29:36.9053717Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.9054065Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.9054068Z 2025-12-04T09:29:36.9054251Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.9055017Z FAILED [1.4145s] test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 - Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.9055082Z atol = 0.005 2025-12-04T09:29:36.9055239Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.9055306Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.9055424Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.9055490Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.9055597Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.9055671Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.9055774Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.9055839Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.9055957Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.9056025Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.9056142Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.9056216Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.9056222Z 2025-12-04T09:29:36.9056328Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.9056404Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.9056512Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.9056579Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.9056691Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.9056755Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.9056874Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.9056945Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.9057181Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.9057286Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.9057401Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.9057536Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.9057540Z 2025-12-04T09:29:36.9057655Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.9057717Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.9057823Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.9057886Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.9058088Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.9058163Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.9058268Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.9058331Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.9058443Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.9058506Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.9058613Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.9058683Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.9058686Z 2025-12-04T09:29:36.9058689Z 2025-12-04T09:29:36.9058795Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.9058871Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.9058975Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.9059037Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.9059161Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.9059225Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.9059334Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.9059411Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.9059515Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.9059585Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.9059690Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.9059755Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.9059758Z 2025-12-04T09:29:36.9059868Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.9059931Z 1.1016e+00, 1.3125e+00], 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5.5078e-01, 2025-12-04T09:29:36.9061151Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.9061260Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.9061324Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.9061496Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.9061597Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.9061702Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.9061840Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.9061947Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.9062013Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.9062017Z 2025-12-04T09:29:36.9062019Z 2025-12-04T09:29:36.9062132Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.9062199Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.9062311Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.9062375Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.9062478Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.9062553Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.9062657Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.9062721Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.9062837Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.9062901Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.9063014Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.9063086Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.9063089Z 2025-12-04T09:29:36.9063194Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.9063267Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.9063371Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.9063444Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.9063555Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.9063624Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.9063738Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.9063803Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.9063910Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.9063983Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.9064089Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.9064162Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.9064165Z 2025-12-04T09:29:36.9064280Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.9064343Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.9064458Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.9064523Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.9064627Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.9064701Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.9064819Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.9064890Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.9065003Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.9065070Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.9065176Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.9065429Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.9065508Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.9065593Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.9065670Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.9065796Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.9065834Z 2025-12-04T09:29:36.9065916Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.9065987Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.9066131Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.9066208Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.9066285Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.9066289Z 2025-12-04T09:29:36.9066376Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.9066451Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.9066527Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.9066608Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.9066687Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.9066692Z 2025-12-04T09:29:36.9066696Z 2025-12-04T09:29:36.9066773Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.9066844Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.9066916Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.9066996Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.9067069Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.9067072Z 2025-12-04T09:29:36.9067144Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.9067224Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.9067295Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.9067370Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.9067444Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.9067447Z 2025-12-04T09:29:36.9067521Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.9067602Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.9067674Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.9067747Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.9067834Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.9067837Z 2025-12-04T09:29:36.9067840Z 2025-12-04T09:29:36.9067911Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.9067990Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.9068063Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.9068138Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.9068219Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.9068222Z 2025-12-04T09:29:36.9068296Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.9068376Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.9068450Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.9068524Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.9068612Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.9068620Z 2025-12-04T09:29:36.9068693Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.9068770Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.9068854Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.9068929Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.9069047Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.9069164Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.9069225Z kwargs = {} 2025-12-04T09:29:36.9069229Z 2025-12-04T09:29:36.9069634Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.9069728Z 2025-12-04T09:29:36.9069859Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.9070296Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.9070300Z 2025-12-04T09:29:36.9070466Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.9071356Z FAILED [1.2665s] test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 - Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.9071426Z atol = 0.005 2025-12-04T09:29:36.9071574Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.9071651Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.9071760Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.9071827Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.9071943Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.9072010Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.9072116Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.9072187Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.9072293Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.9072375Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.9072484Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.9072551Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.9072555Z 2025-12-04T09:29:36.9072665Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.9072734Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.9072838Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.9072910Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.9073015Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.9073088Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.9073196Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.9073263Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.9073375Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.9073441Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.9073547Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.9073620Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.9073624Z 2025-12-04T09:29:36.9073731Z 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1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.9079749Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.9079855Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.9079922Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.9080031Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.9080100Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.9080204Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.9080277Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.9080282Z 2025-12-04T09:29:36.9080392Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.9080463Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.9080567Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.9080634Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.9080745Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.9080808Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.9080911Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.9080984Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.9081087Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.9081155Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.9081269Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.9081515Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.9081607Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.9081685Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.9081759Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.9081847Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.9081850Z 2025-12-04T09:29:36.9081925Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.9082005Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.9082081Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.9082157Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.9082247Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.9082252Z 2025-12-04T09:29:36.9082330Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.9082409Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.9082492Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.9082567Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.9082647Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.9082658Z 2025-12-04T09:29:36.9082661Z 2025-12-04T09:29:36.9082733Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.9082809Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.9082890Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.9082962Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.9083117Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.9083121Z 2025-12-04T09:29:36.9083200Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.9083347Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.9083432Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.9083507Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.9083582Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.9083585Z 2025-12-04T09:29:36.9083679Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.9083756Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.9083830Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.9083910Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.9083991Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.9083999Z 2025-12-04T09:29:36.9084002Z 2025-12-04T09:29:36.9084083Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.9084155Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.9084231Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.9084314Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.9084390Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.9084393Z 2025-12-04T09:29:36.9084472Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.9084545Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.9084617Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.9084694Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.9084775Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.9084778Z 2025-12-04T09:29:36.9084851Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.9084935Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.9085012Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.9085094Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.9085205Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.9085323Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.9085390Z kwargs = {} 2025-12-04T09:29:36.9085393Z 2025-12-04T09:29:36.9085799Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.9085803Z 2025-12-04T09:29:36.9085935Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.9086277Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.9086283Z 2025-12-04T09:29:36.9086452Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.9087227Z FAILED [1.2363s] test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 - Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.9087288Z atol = 0.005 2025-12-04T09:29:36.9087438Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.9087505Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.9087614Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.9087684Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.9087791Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.9087953Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.9088064Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.9088130Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.9088318Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.9088385Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.9088504Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.9088579Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.9088582Z 2025-12-04T09:29:36.9088688Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.9088751Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.9088861Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.9088924Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.9089034Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.9089101Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.9089207Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.9089281Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.9089389Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.9089455Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.9089568Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.9089634Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.9089637Z 2025-12-04T09:29:36.9089748Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.9089813Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.9089918Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.9089987Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.9090093Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.9090158Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.9090266Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.9090333Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.9090437Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.9090511Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.9090614Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.9090688Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.9090692Z 2025-12-04T09:29:36.9090694Z 2025-12-04T09:29:36.9090798Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.9090862Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.9090973Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.9091041Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.9091153Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.9091219Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.9091324Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.9091395Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.9091499Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.9091563Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.9091670Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.9091996Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.9092001Z 2025-12-04T09:29:36.9097234Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.9097343Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.9097486Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.9097696Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.9097816Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.9097885Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.9098166Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.9098247Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.9098357Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.9098423Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.9098536Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.9098605Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.9098610Z 2025-12-04T09:29:36.9098721Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.9098787Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.9098890Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.9098967Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.9099070Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.9099134Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.9099251Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.9099321Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.9099443Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.9099510Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.9099620Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.9099696Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.9099700Z 2025-12-04T09:29:36.9099703Z 2025-12-04T09:29:36.9099805Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.9099886Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.9099999Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.9100066Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.9100178Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.9100243Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.9100347Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.9100420Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.9100524Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.9100589Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.9100702Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.9100770Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.9100773Z 2025-12-04T09:29:36.9100882Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.9100949Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.9101056Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.9101129Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.9101236Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.9101301Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.9101411Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.9101475Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.9101582Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.9101646Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.9101750Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.9101822Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.9101825Z 2025-12-04T09:29:36.9101937Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.9102078Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.9102192Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.9102257Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.9102439Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.9102503Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.9102606Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.9102678Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.9102782Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.9102847Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.9102967Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.9103227Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.9103328Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.9103406Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.9103478Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.9103567Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.9103571Z 2025-12-04T09:29:36.9103647Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.9103718Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.9103796Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.9103867Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.9103948Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.9103951Z 2025-12-04T09:29:36.9104022Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.9104101Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.9104184Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.9104256Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.9104337Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.9104349Z 2025-12-04T09:29:36.9104353Z 2025-12-04T09:29:36.9104426Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.9104497Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.9104576Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.9104646Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.9104720Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.9104724Z 2025-12-04T09:29:36.9104801Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.9104873Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.9104950Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.9105026Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.9105100Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.9105103Z 2025-12-04T09:29:36.9105185Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.9105258Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.9105341Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.9105421Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.9105503Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.9105506Z 2025-12-04T09:29:36.9105508Z 2025-12-04T09:29:36.9105586Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.9105656Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.9105729Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.9105808Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.9105973Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.9105976Z 2025-12-04T09:29:36.9106059Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.9106583Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.9106665Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.9106746Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.9106820Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.9106824Z 2025-12-04T09:29:36.9106905Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.9106991Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.9107066Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.9107145Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.9107265Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.9107398Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.9107468Z kwargs = {} 2025-12-04T09:29:36.9107471Z 2025-12-04T09:29:36.9107892Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.9107896Z 2025-12-04T09:29:36.9108037Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.9108391Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.9108395Z 2025-12-04T09:29:36.9108560Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.9109335Z FAILED [1.2400s] test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 - Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.9109400Z atol = 0.005 2025-12-04T09:29:36.9109561Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.9109631Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.9109743Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.9109817Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.9109925Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.9110002Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.9110117Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.9110183Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.9110297Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.9110363Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.9110473Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.9110550Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.9110554Z 2025-12-04T09:29:36.9110662Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.9110728Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.9110848Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.9110912Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.9111028Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.9111094Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.9111198Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.9111271Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.9111373Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.9111521Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.9111632Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.9111703Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.9111706Z 2025-12-04T09:29:36.9111886Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.9111954Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.9112357Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.9112484Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.9112595Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.9112661Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.9112770Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.9112835Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.9112941Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.9113020Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.9113123Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.9113199Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.9113203Z 2025-12-04T09:29:36.9113207Z 2025-12-04T09:29:36.9113310Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.9113377Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.9113486Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.9113549Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.9113658Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.9113722Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.9113823Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.9113892Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.9113996Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.9114059Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.9114169Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.9114236Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.9114239Z 2025-12-04T09:29:36.9114351Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.9114413Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.9114523Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.9114595Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.9114703Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.9114769Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.9114879Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.9114948Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.9115052Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.9115123Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.9115230Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.9115307Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.9115312Z 2025-12-04T09:29:36.9115421Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.9115488Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.9115598Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.9115663Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.9115768Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.9115839Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.9115944Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.9116206Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.9116315Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.9116384Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.9116606Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.9116676Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.9116680Z 2025-12-04T09:29:36.9116683Z 2025-12-04T09:29:36.9116791Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.9116855Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.9116960Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.9117034Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.9117149Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.9117216Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.9117333Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.9117400Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.9117506Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.9117581Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.9117689Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.9117765Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.9117768Z 2025-12-04T09:29:36.9117872Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.9117950Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.9118066Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.9118132Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.9118234Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.9118308Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.9118413Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.9118486Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.9118603Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.9118670Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.9118783Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.9118855Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.9118858Z 2025-12-04T09:29:36.9118964Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.9119036Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.9119139Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.9119211Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.9119313Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.9119380Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.9119491Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.9119558Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.9119666Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.9119741Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.9119843Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.9120104Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.9120189Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.9120268Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.9120357Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.9120444Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.9120525Z 2025-12-04T09:29:36.9120606Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.9120688Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.9120829Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.9120913Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.9120997Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.9121000Z 2025-12-04T09:29:36.9121074Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.9121158Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.9121234Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.9121310Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.9121397Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.9121400Z 2025-12-04T09:29:36.9121403Z 2025-12-04T09:29:36.9121488Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.9121572Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.9121649Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.9121727Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.9121812Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.9121816Z 2025-12-04T09:29:36.9121889Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.9121966Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.9122038Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.9122111Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.9122196Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.9122199Z 2025-12-04T09:29:36.9122273Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.9122347Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.9122429Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.9122501Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.9122587Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.9122591Z 2025-12-04T09:29:36.9122594Z 2025-12-04T09:29:36.9122665Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.9122736Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.9122814Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.9122890Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.9122965Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.9122975Z 2025-12-04T09:29:36.9123049Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.9123120Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.9123212Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.9123288Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.9123362Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.9123365Z 2025-12-04T09:29:36.9123449Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.9123526Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.9123605Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.9123679Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.9123797Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.9123927Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.9123989Z kwargs = {} 2025-12-04T09:29:36.9123992Z 2025-12-04T09:29:36.9124402Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.9124518Z 2025-12-04T09:29:36.9124655Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.9125076Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.9125081Z 2025-12-04T09:29:36.9125253Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.9126030Z FAILED [1.2646s] test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 - Exception: Difference from float64 is larger with decomposition reflection_pad2d_backward.default than original on output 0. Original max diff: 0.0126953125, Decomp max diff: 0.0185546875 2025-12-04T09:29:36.9126099Z atol = 0.005 2025-12-04T09:29:36.9126248Z args = (tensor([[[[-5.3906e-01, -2.1973e-02, -1.4453e-01, 3.5938e-01, 7.6562e-01, 2025-12-04T09:29:36.9126315Z 5.0000e-01, 9.4531e-01], 2025-12-04T09:29:36.9126435Z [ 8.0859e-01, 5.8594e-02, 3.9062e-01, -6.1328e-01, 3.6133e-01, 2025-12-04T09:29:36.9126501Z -3.0762e-02, -5.5078e-01], 2025-12-04T09:29:36.9126612Z [-6.3672e-01, -4.7656e-01, -1.1250e+00, 1.3047e+00, 7.0703e-01, 2025-12-04T09:29:36.9126693Z -1.8125e+00, -1.5156e+00], 2025-12-04T09:29:36.9126798Z [-6.0938e-01, 7.8516e-01, 1.9219e+00, -6.9141e-01, -4.7266e-01, 2025-12-04T09:29:36.9126873Z -1.6094e+00, 1.2656e+00], 2025-12-04T09:29:36.9126988Z [-1.0938e+00, -1.0469e+00, 8.8672e-01, -5.3516e-01, -3.6011e-03, 2025-12-04T09:29:36.9127055Z -5.5859e-01, 1.1169e-02], 2025-12-04T09:29:36.9127169Z [-4.5312e-01, -7.0312e-01, -3.8867e-01, -3.7305e-01, 5.0000e-01, 2025-12-04T09:29:36.9127237Z 1.3516e+00, 1.0000e+00]], 2025-12-04T09:29:36.9127240Z 2025-12-04T09:29:36.9127344Z [[ 7.5000e-01, -3.5547e-01, -8.3203e-01, 1.7109e+00, 1.7656e+00, 2025-12-04T09:29:36.9127418Z -5.5469e-01, -4.3750e-01], 2025-12-04T09:29:36.9127522Z [ 1.8164e-01, 2.6758e-01, -5.5078e-01, -2.7344e+00, -7.7344e-01, 2025-12-04T09:29:36.9127594Z 1.7109e+00, 7.0312e-01], 2025-12-04T09:29:36.9127713Z [ 1.4609e+00, -5.6641e-01, 6.0303e-02, -8.2812e-01, -4.3164e-01, 2025-12-04T09:29:36.9127789Z 1.1797e+00, 3.7305e-01], 2025-12-04T09:29:36.9127908Z [-1.7109e+00, -2.4844e+00, 1.6719e+00, -5.1172e-01, -6.5625e-01, 2025-12-04T09:29:36.9127977Z 9.8047e-01, 8.3594e-01], 2025-12-04T09:29:36.9128082Z [ 4.0527e-02, 4.1992e-02, -6.1719e-01, 8.2422e-01, 4.0625e-01, 2025-12-04T09:29:36.9128154Z -8.6328e-01, -1.3281e+00], 2025-12-04T09:29:36.9128260Z [-5.4688e-01, -2.4316e-01, 8.2031e-01, -2.5977e-01, -8.7891e-01, 2025-12-04T09:29:36.9128330Z 1.9629e-01, 1.9043e-01]], 2025-12-04T09:29:36.9128340Z 2025-12-04T09:29:36.9128446Z [[-1.2969e+00, 1.3359e+00, -2.1094e+00, 6.6406e-01, -1.5234e-01, 2025-12-04T09:29:36.9128516Z 4.5117e-01, -6.8359e-01], 2025-12-04T09:29:36.9128628Z [ 7.2266e-01, 9.7656e-01, 4.1016e-01, 6.7188e-01, -2.7148e-01, 2025-12-04T09:29:36.9128693Z 1.3203e+00, 1.7773e-01], 2025-12-04T09:29:36.9128799Z [-3.7500e-01, -3.4961e-01, 7.6562e-01, 7.5391e-01, 6.4453e-01, 2025-12-04T09:29:36.9128870Z 5.3906e-01, 2.0703e-01], 2025-12-04T09:29:36.9128972Z [ 4.5898e-01, 1.1902e-02, 1.6562e+00, -2.4062e+00, 4.4336e-01, 2025-12-04T09:29:36.9129037Z 1.9297e+00, 1.0156e+00], 2025-12-04T09:29:36.9129146Z [-8.2812e-01, 1.1279e-01, 8.3594e-01, 3.2227e-01, -4.4727e-01, 2025-12-04T09:29:36.9129211Z -9.6875e-01, 7.5195e-02], 2025-12-04T09:29:36.9129320Z [ 7.1875e-01, 7.3438e-01, -1.0703e+00, 1.6953e+00, -1.8594e+00, 2025-12-04T09:29:36.9129398Z 7.6172e-01, 1.9297e+00]]], 2025-12-04T09:29:36.9129401Z 2025-12-04T09:29:36.9129449Z 2025-12-04T09:29:36.9129670Z [[[ 7.1094e-01, 8.6328e-01, -1.2266e+00, -1.0781e+00, 2.8906e-01, 2025-12-04T09:29:36.9129742Z -1.5332e-01, -6.6016e-01], 2025-12-04T09:29:36.9129855Z [-8.0859e-01, 7.8906e-01, -4.9609e-01, 7.8906e-01, 3.2812e-01, 2025-12-04T09:29:36.9129998Z 3.1836e-01, -2.6172e-01], 2025-12-04T09:29:36.9130108Z [ 1.9375e+00, -1.9043e-01, 9.0820e-02, -1.6328e+00, -1.6895e-01, 2025-12-04T09:29:36.9130175Z -1.0620e-02, 1.3281e+00], 2025-12-04T09:29:36.9130286Z [ 2.3242e-01, 7.0703e-01, 5.8984e-01, 1.0547e+00, 1.6250e+00, 2025-12-04T09:29:36.9130354Z 1.8164e-01, 8.7500e-01], 2025-12-04T09:29:36.9130461Z [-9.1406e-01, 8.8672e-01, -6.4062e-01, 7.6172e-02, 5.4688e-01, 2025-12-04T09:29:36.9130534Z 2.7734e-01, -5.7422e-01], 2025-12-04T09:29:36.9130635Z [ 2.2559e-01, 2.1387e-01, 7.1484e-01, 1.7285e-01, 2.7734e-01, 2025-12-04T09:29:36.9130703Z 9.0234e-01, -9.6094e-01]], 2025-12-04T09:29:36.9130717Z 2025-12-04T09:29:36.9130822Z [[ 3.0859e-01, 1.0703e+00, -5.8594e-01, -1.0469e+00, 8.1250e-01, 2025-12-04T09:29:36.9130887Z 1.1016e+00, 1.3125e+00], 2025-12-04T09:29:36.9131001Z [ 3.6328e-01, 3.7305e-01, -6.6016e-01, -3.6719e-01, 3.3984e-01, 2025-12-04T09:29:36.9131065Z -3.7695e-01, 1.6016e+00], 2025-12-04T09:29:36.9131168Z [ 2.0117e-01, 6.0156e-01, 9.1797e-01, 1.4297e+00, -2.4805e-01, 2025-12-04T09:29:36.9131242Z -1.7188e-01, 1.3086e-01], 2025-12-04T09:29:36.9131346Z [-8.7109e-01, -8.8281e-01, -6.7578e-01, 1.6328e+00, 3.4961e-01, 2025-12-04T09:29:36.9131419Z 1.2734e+00, 4.1602e-01], 2025-12-04T09:29:36.9131531Z [-1.1094e+00, 4.5312e-01, 1.2344e+00, 3.0664e-01, -2.2500e+00, 2025-12-04T09:29:36.9131596Z -1.2578e+00, -1.3281e-01], 2025-12-04T09:29:36.9131710Z [-5.4688e-01, -4.7119e-02, -4.5508e-01, -1.1875e+00, 6.6406e-02, 2025-12-04T09:29:36.9131779Z 4.0625e-01, 1.1094e+00]], 2025-12-04T09:29:36.9131784Z 2025-12-04T09:29:36.9131888Z [[-8.1250e-01, 2.4707e-01, 1.2500e+00, -9.6191e-02, 1.2500e+00, 2025-12-04T09:29:36.9131959Z 7.5391e-01, -9.8828e-01], 2025-12-04T09:29:36.9132066Z [-7.7637e-02, 1.8066e-01, -6.8359e-01, -8.9062e-01, 5.5078e-01, 2025-12-04T09:29:36.9132132Z -5.3955e-02, -1.3594e+00], 2025-12-04T09:29:36.9132241Z [-5.4688e-01, -6.1279e-02, 2.7148e-01, 6.7383e-02, 6.9531e-01, 2025-12-04T09:29:36.9132309Z -3.1055e-01, -1.4531e+00], 2025-12-04T09:29:36.9132420Z [ 1.3047e+00, -1.3828e+00, -1.4375e+00, -1.3438e+00, 9.9609e-01, 2025-12-04T09:29:36.9132483Z 4.3945e-01, 3.0029e-02], 2025-12-04T09:29:36.9132585Z [ 8.0078e-02, 2.4023e-01, -2.0625e+00, 9.7656e-01, -7.8906e-01, 2025-12-04T09:29:36.9132654Z 2.2949e-01, -8.9844e-01], 2025-12-04T09:29:36.9132758Z [ 9.2285e-02, -1.1641e+00, -8.5547e-01, 2.5977e-01, -1.5547e+00, 2025-12-04T09:29:36.9132828Z 4.2969e-01, -2.2363e-01]]], 2025-12-04T09:29:36.9132831Z 2025-12-04T09:29:36.9132839Z 2025-12-04T09:29:36.9132941Z [[[ 7.0801e-02, -5.8594e-01, 1.5039e-01, 1.6406e-01, 7.3438e-01, 2025-12-04T09:29:36.9133004Z 1.0391e+00, 2.9844e+00], 2025-12-04T09:29:36.9133116Z [-2.2969e+00, -1.2812e+00, 1.8047e+00, -1.0625e+00, 1.3125e+00, 2025-12-04T09:29:36.9133179Z 4.9609e-01, 2.2266e-01], 2025-12-04T09:29:36.9133284Z [ 2.5938e+00, 1.0938e+00, 1.8359e+00, -9.3359e-01, -8.7109e-01, 2025-12-04T09:29:36.9133353Z -1.0147e-03, -8.6426e-02], 2025-12-04T09:29:36.9133455Z [-1.4062e-01, 8.0469e-01, 1.4062e+00, -6.7969e-01, -1.1953e+00, 2025-12-04T09:29:36.9133517Z -1.1328e+00, -6.3672e-01], 2025-12-04T09:29:36.9133628Z [ 8.1641e-01, -8.9844e-01, -1.5156e+00, 7.2266e-01, -6.0791e-02, 2025-12-04T09:29:36.9133692Z -1.3477e-01, -3.7695e-01], 2025-12-04T09:29:36.9133853Z [-1.1641e+00, -1.2188e+00, -3.6914e-01, -1.7969e+00, -2.3750e+00, 2025-12-04T09:29:36.9133954Z -2.1094e-01, -5.2344e-01]], 2025-12-04T09:29:36.9133957Z 2025-12-04T09:29:36.9134129Z [[ 9.3359e-01, -6.7969e-01, 8.8672e-01, -9.4531e-01, 1.2109e+00, 2025-12-04T09:29:36.9134201Z -3.4766e-01, -9.7656e-01], 2025-12-04T09:29:36.9134305Z [-3.4375e-01, 1.8066e-01, -8.9453e-01, 2.2559e-01, -1.6172e+00, 2025-12-04T09:29:36.9134378Z 3.1836e-01, 1.0000e+00], 2025-12-04T09:29:36.9134490Z [ 6.0303e-02, 1.7344e+00, -1.0781e+00, 1.2500e-01, -2.2344e+00, 2025-12-04T09:29:36.9134554Z 2.9531e+00, 3.5352e-01], 2025-12-04T09:29:36.9134664Z [-6.7969e-01, -2.1875e-01, 8.2031e-01, 6.4062e-01, 1.1172e+00, 2025-12-04T09:29:36.9134731Z -1.0547e+00, -8.6719e-01], 2025-12-04T09:29:36.9134834Z [ 5.0391e-01, -2.0020e-01, 1.0000e+00, 1.6992e-01, -2.5391e-01, 2025-12-04T09:29:36.9134906Z -2.5938e+00, -6.3672e-01], 2025-12-04T09:29:36.9135014Z [-9.4922e-01, 9.7656e-01, -1.2891e-01, 9.7656e-02, -3.3281e+00, 2025-12-04T09:29:36.9135080Z -5.4688e-01, 6.0156e-01]], 2025-12-04T09:29:36.9135083Z 2025-12-04T09:29:36.9135200Z [[-1.2422e+00, -1.8750e+00, -3.2715e-02, 3.7500e-01, -4.9805e-01, 2025-12-04T09:29:36.9135273Z -1.0156e+00, 1.4297e+00], 2025-12-04T09:29:36.9135378Z [ 6.6406e-01, -1.6309e-01, 9.3359e-01, 4.6875e-01, -1.0156e+00, 2025-12-04T09:29:36.9135447Z -5.3906e-01, -4.3750e-01], 2025-12-04T09:29:36.9135559Z [ 4.2188e-01, -7.8516e-01, 1.3594e+00, -9.6484e-01, 1.6562e+00, 2025-12-04T09:29:36.9135623Z 4.2383e-01, 1.2031e+00], 2025-12-04T09:29:36.9135728Z [-3.5889e-02, -5.6250e-01, 1.2578e+00, 4.7070e-01, 6.9531e-01, 2025-12-04T09:29:36.9135799Z -1.3984e+00, -4.7461e-01], 2025-12-04T09:29:36.9135905Z [ 7.2266e-01, 1.3750e+00, -7.1875e-01, -1.0234e+00, 1.2793e-01, 2025-12-04T09:29:36.9135980Z -7.3047e-01, -1.8457e-01], 2025-12-04T09:29:36.9136085Z [-5.5469e-01, 4.0625e-01, -1.3828e+00, 8.6426e-02, 8.2422e-01, 2025-12-04T09:29:36.9136337Z -1.6504e-01, 1.6328e+00]]]], device='cuda:0', dtype=torch.bfloat16), tensor([[[[ 4.8125, 7.3438, -3.3750, -1.9531, 3.7812], 2025-12-04T09:29:36.9136430Z [-2.4375, -6.0625, 5.3125, 5.4688, 2.6406], 2025-12-04T09:29:36.9136510Z [-4.5312, 8.6875, -5.3438, -6.2500, 6.5938], 2025-12-04T09:29:36.9136585Z [ 3.0781, 6.5625, 7.0000, 1.9062, -6.6250], 2025-12-04T09:29:36.9136673Z [ 2.9219, 2.5156, 5.0625, -0.7852, -1.8672]], 2025-12-04T09:29:36.9136677Z 2025-12-04T09:29:36.9136754Z [[-8.5625, -5.0625, 5.4688, 4.5000, -6.0938], 2025-12-04T09:29:36.9136835Z [-0.7227, 3.8750, 1.2578, 4.7812, 8.6875], 2025-12-04T09:29:36.9136922Z [-3.1250, 5.3125, 7.1562, -2.3281, -6.2500], 2025-12-04T09:29:36.9137001Z [ 3.0156, 5.8750, -4.0625, 0.6562, -2.0781], 2025-12-04T09:29:36.9137090Z [ 8.7500, -3.5625, 5.8125, -6.6562, -7.8750]], 2025-12-04T09:29:36.9137094Z 2025-12-04T09:29:36.9137168Z [[ 5.5938, 0.9297, -6.8125, -6.4688, 4.8438], 2025-12-04T09:29:36.9137246Z [-1.9531, 8.3750, 4.0625, -0.7070, 1.0312], 2025-12-04T09:29:36.9137331Z [-1.7266, -4.5938, -1.5938, -0.9805, -6.0938], 2025-12-04T09:29:36.9137408Z [-2.2031, -5.2500, 1.2109, -2.4062, -5.3438], 2025-12-04T09:29:36.9137497Z [ 7.3438, 0.9336, -3.6719, -0.5664, 4.0000]]], 2025-12-04T09:29:36.9137501Z 2025-12-04T09:29:36.9137504Z 2025-12-04T09:29:36.9137576Z [[[ 2.7031, 2.2031, 5.1250, 8.4375, 6.6250], 2025-12-04T09:29:36.9137650Z [ 1.7969, -8.1250, 8.9375, 2.5312, 3.7031], 2025-12-04T09:29:36.9137729Z [-2.8281, 1.6328, -5.8125, 0.6484, 6.0312], 2025-12-04T09:29:36.9137800Z [ 5.8438, -8.4375, 1.1484, 0.4473, 5.0938], 2025-12-04T09:29:36.9137875Z [ 7.4688, 2.0469, 6.9375, 1.9297, -5.1875]], 2025-12-04T09:29:36.9137961Z 2025-12-04T09:29:36.9138134Z [[-1.4766, 3.6875, -0.2295, 6.6562, 4.0625], 2025-12-04T09:29:36.9138211Z [-1.9531, -2.8594, 3.5625, 3.2656, 2.7656], 2025-12-04T09:29:36.9138361Z [ 7.8750, -2.7500, 8.8750, 3.4844, -3.1562], 2025-12-04T09:29:36.9138441Z [ 3.8594, -1.0938, 8.2500, -4.7188, 0.6484], 2025-12-04T09:29:36.9138519Z [ 4.1562, -7.6562, 0.3398, -0.9766, -5.6875]], 2025-12-04T09:29:36.9138522Z 2025-12-04T09:29:36.9138603Z [[-0.8633, 7.8750, -6.2812, 0.7305, -3.8906], 2025-12-04T09:29:36.9138677Z [ 3.0469, -6.5625, -0.0903, 2.0000, -2.3750], 2025-12-04T09:29:36.9138759Z [ 2.2188, 7.7188, 0.8633, -8.0000, -5.7188], 2025-12-04T09:29:36.9138835Z [ 1.0469, 8.3750, 2.7812, -0.4473, -4.0625], 2025-12-04T09:29:36.9138914Z [-4.1562, 7.2812, 0.2617, -1.4766, -0.7852]]], 2025-12-04T09:29:36.9138918Z 2025-12-04T09:29:36.9138922Z 2025-12-04T09:29:36.9139002Z [[[ 2.5625, 6.1875, 2.2969, 4.7188, 4.4688], 2025-12-04T09:29:36.9139075Z [ 4.3125, 5.7188, 3.8281, 7.0938, 7.4688], 2025-12-04T09:29:36.9139148Z [-6.4688, 1.0703, -7.4688, -8.5625, 6.5938], 2025-12-04T09:29:36.9139230Z [-8.3125, -0.9062, -8.6875, -2.4531, -4.5000], 2025-12-04T09:29:36.9139304Z [ 8.3125, -1.7109, 3.9531, -3.2812, -6.8750]], 2025-12-04T09:29:36.9139306Z 2025-12-04T09:29:36.9139388Z [[-1.7969, -4.0625, -6.5625, -5.1562, 5.7188], 2025-12-04T09:29:36.9139472Z [-1.6484, 6.1875, 8.0000, -6.4375, 4.7500], 2025-12-04T09:29:36.9139548Z [ 8.0625, 2.5156, 0.2422, -5.5312, 8.6875], 2025-12-04T09:29:36.9139626Z [ 5.7500, -5.3750, -8.3750, 1.1562, -2.2031], 2025-12-04T09:29:36.9139702Z [-2.5156, -5.6875, 7.9688, 2.0312, 2.4062]], 2025-12-04T09:29:36.9139705Z 2025-12-04T09:29:36.9139776Z [[ 2.8594, 5.8438, 0.0192, 4.5000, 4.2812], 2025-12-04T09:29:36.9139856Z [-8.3125, 5.7500, 7.9375, -2.2812, -6.0000], 2025-12-04T09:29:36.9139935Z [-1.5625, -6.0938, -3.2500, 2.7656, 3.9062], 2025-12-04T09:29:36.9140013Z [-4.8438, -5.5000, -7.0312, 3.3594, -8.8750], 2025-12-04T09:29:36.9140130Z [ 8.5625, -0.1875, -5.6562, 0.1465, 8.8750]]]], device='cuda:0', 2025-12-04T09:29:36.9140257Z dtype=torch.bfloat16, requires_grad=True), [0, 2, 0, 1]) 2025-12-04T09:29:36.9140323Z kwargs = {} 2025-12-04T09:29:36.9140326Z 2025-12-04T09:29:36.9140728Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(3, 3, 5, 5), device="cuda:0", dtype=torch.bfloat16], args=((0,2,0,1),'reflect'), kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:29:36.9140732Z 2025-12-04T09:29:36.9140870Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:36.9141217Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_pad_reflect_cuda_bfloat16 2025-12-04T09:29:36.9141224Z 2025-12-04T09:29:36.9141387Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:36.9141516Z ================== 12 failed, 38 passed in 330.98s (0:05:30) =================== 2025-12-04T09:29:36.9141520Z 2025-12-04T09:29:36.9141771Z FINISHED PRINTING LOG FILE of test_decomp 11/22 (test/test-reports/test_decomp_11.22_422e700786a1c824_.log) 2025-12-04T09:29:36.9141775Z 2025-12-04T09:29:36.9141954Z Finished test_decomp 11/22 ... [2025-12-04 09:29:36.820756][2223.239552356], took 5.62min 2025-12-04T09:29:36.9142347Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-20c95a5b7dfce896.xml 2025-12-04T09:29:37.7742302Z Uploading logs for 57116084932 to S3 2025-12-04T09:29:37.8184455Z Uploading artifacts took 0.88 seconds 2025-12-04T09:29:37.8184826Z test_decomp 11/22 failed! 2025-12-04T09:29:40.4273930Z Running test_decomp 17/22 ... [2025-12-04 09:29:40.426923][2226.845720481] 2025-12-04T09:29:40.4274830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:29:40.4276539Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=17', '--num-shards=22', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:29:40.427359] 2025-12-04T09:29:57.7237286Z 2025-12-04T09:29:57.7238166Z test_decomp 17/22 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_17.22_5e057b92baf7c64c_.log 2025-12-04T09:29:57.7238833Z Running 0 items in this shard: 2025-12-04T09:29:57.7239012Z 2025-12-04T09:29:57.7239265Z Finished test_decomp 17/22 ... [2025-12-04 09:29:57.723582][2244.142379922], took 0.29min 2025-12-04T09:29:57.7310759Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-06317a571591d80e.xml 2025-12-04T09:29:59.7940519Z 2025-12-04T09:29:59.7941209Z PRINTING LOG FILE of test_decomp 5/22 (test/test-reports/test_decomp_5.22_93adc374bbf3aec7_.log) 2025-12-04T09:29:59.7942243Z Test results will be stored in test-reports/python-pytest/test_decomp/test_decomp-8cc83badbec27360.xml 2025-12-04T09:29:59.7942814Z ============================= test session starts ============================== 2025-12-04T09:29:59.7943343Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T09:29:59.7943803Z cachedir: .pytest_cache 2025-12-04T09:29:59.7944349Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T09:29:59.7944933Z rootdir: /var/lib/jenkins/workspace 2025-12-04T09:29:59.7945236Z configfile: pytest.ini 2025-12-04T09:29:59.7945800Z 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 2025-12-04T09:29:59.7946402Z collecting ... collected 9010 items 2025-12-04T09:29:59.7946721Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T09:29:59.7960392Z Running 50 items in this shard: test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 2025-12-04T09:29:59.7973184Z 2025-12-04T09:29:59.7973453Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [7.8101s] [ 2%] 2025-12-04T09:29:59.7974057Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [7.6984s] [ 2%] 2025-12-04T09:29:59.7974654Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [7.6477s] [ 2%] 2025-12-04T09:29:59.7975253Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 FAILED [1.7626s] [ 2%] 2025-12-04T09:29:59.7975825Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [7.7102s] [ 2%] 2025-12-04T09:29:59.7976397Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [7.6215s] [ 2%] 2025-12-04T09:29:59.7976957Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [7.6511s] [ 2%] 2025-12-04T09:29:59.7977529Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [7.6743s] [ 2%] 2025-12-04T09:29:59.7978272Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [7.6174s] [ 2%] 2025-12-04T09:29:59.7978907Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.4206s] [ 2%] 2025-12-04T09:29:59.7979512Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.5358s] [ 2%] 2025-12-04T09:29:59.7980151Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.5868s] [ 2%] 2025-12-04T09:29:59.7980720Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.5498s] [ 2%] 2025-12-04T09:29:59.7981288Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.5529s] [ 2%] 2025-12-04T09:29:59.7981847Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.5148s] [ 2%] 2025-12-04T09:29:59.7982413Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.5931s] [ 2%] 2025-12-04T09:29:59.7982980Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.6631s] [ 2%] 2025-12-04T09:29:59.7983554Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.6380s] [ 2%] 2025-12-04T09:29:59.7984144Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.5663s] [ 2%] 2025-12-04T09:29:59.7984746Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.6484s] [ 2%] 2025-12-04T09:29:59.7985321Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.5672s] [ 2%] 2025-12-04T09:29:59.7985883Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.5559s] [ 2%] 2025-12-04T09:29:59.7986463Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.6553s] [ 2%] 2025-12-04T09:29:59.7987035Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.5743s] [ 2%] 2025-12-04T09:29:59.7987617Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.6069s] [ 2%] 2025-12-04T09:29:59.7988192Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.6570s] [ 2%] 2025-12-04T09:29:59.7988778Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.5578s] [ 2%] 2025-12-04T09:29:59.7989352Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.6364s] [ 2%] 2025-12-04T09:29:59.7989930Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.6449s] [ 2%] 2025-12-04T09:29:59.7990496Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.6073s] [ 2%] 2025-12-04T09:29:59.7991071Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.5222s] [ 2%] 2025-12-04T09:29:59.7991643Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.6127s] [ 2%] 2025-12-04T09:29:59.7992227Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.5259s] [ 2%] 2025-12-04T09:29:59.7992793Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.5673s] [ 2%] 2025-12-04T09:29:59.7993365Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.5569s] [ 2%] 2025-12-04T09:29:59.7993937Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 FAILED [2.4056s] [ 2%] 2025-12-04T09:29:59.7994504Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.5537s] [ 2%] 2025-12-04T09:29:59.7995066Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.4781s] [ 2%] 2025-12-04T09:29:59.7995632Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.5351s] [ 2%] 2025-12-04T09:29:59.7996309Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.5270s] [ 2%] 2025-12-04T09:29:59.7996953Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.5177s] [ 2%] 2025-12-04T09:29:59.7997522Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.5108s] [ 2%] 2025-12-04T09:29:59.7998090Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.5842s] [ 2%] 2025-12-04T09:29:59.7998654Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.6158s] [ 2%] 2025-12-04T09:29:59.7999226Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.5212s] [ 2%] 2025-12-04T09:29:59.7999799Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.6279s] [ 2%] 2025-12-04T09:29:59.8000375Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.7691s] [ 2%] 2025-12-04T09:29:59.8000952Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [8.1238s] [ 2%] 2025-12-04T09:29:59.8001518Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [7.8693s] [ 2%] 2025-12-04T09:29:59.8002087Z test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 PASSED [7.8140s] [ 2%] 2025-12-04T09:29:59.8002414Z 2025-12-04T09:29:59.8002510Z =================================== FAILURES =================================== 2025-12-04T09:29:59.8002864Z ____ TestDecompCUDA.test_comprehensive_nn_functional_nll_loss_cuda_float32 _____ 2025-12-04T09:29:59.8003194Z Traceback (most recent call last): 2025-12-04T09:29:59.8003689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper 2025-12-04T09:29:59.8004179Z return test(*args, **kwargs) 2025-12-04T09:29:59.8004626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn 2025-12-04T09:29:59.8005086Z return fn(self, *args, **kwargs) 2025-12-04T09:29:59.8005554Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper 2025-12-04T09:29:59.8005999Z fn(*args, **kwargs) 2025-12-04T09:29:59.8006394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper 2025-12-04T09:29:59.8006829Z fn(*args, **kwargs) 2025-12-04T09:29:59.8007140Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 602, in test_comprehensive 2025-12-04T09:29:59.8007525Z self.do_cross_ref(device, dtype, op, run_all=True) 2025-12-04T09:29:59.8008004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:59.8008461Z fn(*args, **kwargs) 2025-12-04T09:29:59.8008759Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 989, in do_cross_ref 2025-12-04T09:29:59.8009149Z decomp_out, decomp_vjp_fn = ref_vjp_no_create(fn, *primals) 2025-12-04T09:29:59.8009554Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 147, in ref_vjp_no_create 2025-12-04T09:29:59.8009910Z result = f(*primals) 2025-12-04T09:29:59.8010198Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 332, in wrapped 2025-12-04T09:29:59.8010509Z result = f(*_args, **kwargs) 2025-12-04T09:29:59.8010892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 3179, in nll_loss 2025-12-04T09:29:59.8011296Z return torch._C._nn.nll_loss_nd( 2025-12-04T09:29:59.8011632Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 904, in __torch_dispatch__ 2025-12-04T09:29:59.8012304Z op_assert_equal( 2025-12-04T09:29:59.8012706Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 301, in op_assert_equal 2025-12-04T09:29:59.8013048Z test_case.assertEqual( 2025-12-04T09:29:59.8013617Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:29:59.8014138Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:29:59.8014421Z AssertionError: Scalars are not close! 2025-12-04T09:29:59.8014572Z 2025-12-04T09:29:59.8014651Z Expected 0.0 but got 12.327637672424316. 2025-12-04T09:29:59.8014924Z Absolute difference: 12.327637672424316 (up to 1e-05 allowed) 2025-12-04T09:29:59.8015220Z Relative difference: inf (up to 1.3e-06 allowed) 2025-12-04T09:29:59.8015461Z nll_loss2d_forward.default 2025-12-04T09:29:59.8015680Z args = (tensor([[[[ 4.8190, 7.3460], 2025-12-04T09:29:59.8016032Z [-3.3716, -1.9502]], 2025-12-04T09:29:59.8016242Z 2025-12-04T09:29:59.8016355Z [[ 3.7840, -2.4334], 2025-12-04T09:29:59.8016536Z [-6.0770, 5.3262]], 2025-12-04T09:29:59.8016657Z 2025-12-04T09:29:59.8016716Z [[ 5.4804, 2.6419], 2025-12-04T09:29:59.8016894Z [-4.5367, 8.6952]]], 2025-12-04T09:29:59.8017010Z 2025-12-04T09:29:59.8017019Z 2025-12-04T09:29:59.8017086Z [[[-5.3580, -6.2350], 2025-12-04T09:29:59.8017256Z [ 6.5964, 3.0786]], 2025-12-04T09:29:59.8017373Z 2025-12-04T09:29:59.8017431Z [[ 6.5471, 7.0122], 2025-12-04T09:29:59.8017608Z [ 1.9026, -6.6098]], 2025-12-04T09:29:59.8017721Z 2025-12-04T09:29:59.8017779Z [[ 2.9192, 2.5116], 2025-12-04T09:29:59.8018165Z [ 5.0646, -0.7863]]]], device='cuda:0', requires_grad=True), tensor([[[1, 0], 2025-12-04T09:29:59.8018445Z [1, 0]], 2025-12-04T09:29:59.8018544Z 2025-12-04T09:29:59.8018600Z [[0, 1], 2025-12-04T09:29:59.8018849Z [0, 0]]], device='cuda:0'), tensor([2.5581, 4.5648, 7.9102], device='cuda:0'), 0, -100) 2025-12-04T09:29:59.8019139Z kwargs = {} 2025-12-04T09:29:59.8019227Z 2025-12-04T09:29:59.8019383Z The above exception was the direct cause of the following exception: 2025-12-04T09:29:59.8019605Z 2025-12-04T09:29:59.8019683Z Traceback (most recent call last): 2025-12-04T09:29:59.8020145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:59.8020600Z method(*args, **kwargs) 2025-12-04T09:29:59.8021010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:59.8021448Z method(*args, **kwargs) 2025-12-04T09:29:59.8021909Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test 2025-12-04T09:29:59.8022412Z result = test(self, **param_kwargs) 2025-12-04T09:29:59.8022851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:59.8023290Z fn(*args, **kwargs) 2025-12-04T09:29:59.8023729Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper 2025-12-04T09:29:59.8024206Z raise e_tracked from e 2025-12-04T09:29:59.8024413Z Exception: Scalars are not close! 2025-12-04T09:29:59.8024561Z 2025-12-04T09:29:59.8024637Z Expected 0.0 but got 12.327637672424316. 2025-12-04T09:29:59.8024912Z Absolute difference: 12.327637672424316 (up to 1e-05 allowed) 2025-12-04T09:29:59.8025204Z Relative difference: inf (up to 1.3e-06 allowed) 2025-12-04T09:29:59.8025452Z nll_loss2d_forward.default 2025-12-04T09:29:59.8025652Z args = (tensor([[[[ 4.8190, 7.3460], 2025-12-04T09:29:59.8025849Z [-3.3716, -1.9502]], 2025-12-04T09:29:59.8025973Z 2025-12-04T09:29:59.8026036Z [[ 3.7840, -2.4334], 2025-12-04T09:29:59.8026227Z [-6.0770, 5.3262]], 2025-12-04T09:29:59.8026461Z 2025-12-04T09:29:59.8026568Z [[ 5.4804, 2.6419], 2025-12-04T09:29:59.8026742Z [-4.5367, 8.6952]]], 2025-12-04T09:29:59.8026872Z 2025-12-04T09:29:59.8026875Z 2025-12-04T09:29:59.8026946Z [[[-5.3580, -6.2350], 2025-12-04T09:29:59.8027198Z [ 6.5964, 3.0786]], 2025-12-04T09:29:59.8027310Z 2025-12-04T09:29:59.8027372Z [[ 6.5471, 7.0122], 2025-12-04T09:29:59.8027548Z [ 1.9026, -6.6098]], 2025-12-04T09:29:59.8027670Z 2025-12-04T09:29:59.8027738Z [[ 2.9192, 2.5116], 2025-12-04T09:29:59.8027990Z [ 5.0646, -0.7863]]]], device='cuda:0', requires_grad=True), tensor([[[1, 0], 2025-12-04T09:29:59.8028259Z [1, 0]], 2025-12-04T09:29:59.8028358Z 2025-12-04T09:29:59.8028414Z [[0, 1], 2025-12-04T09:29:59.8028654Z [0, 0]]], device='cuda:0'), tensor([2.5581, 4.5648, 7.9102], device='cuda:0'), 0, -100) 2025-12-04T09:29:59.8028931Z kwargs = {} 2025-12-04T09:29:59.8029024Z 2025-12-04T09:29:59.8029748Z Caused by sample input at index 16: SampleInput(input=Tensor[size=(2, 3, 2, 2), device="cuda:0", dtype=torch.float32], args=TensorList[Tensor[size=(2, 2, 2), device="cuda:0", dtype=torch.int64]], kwargs={'weight': 'Tensor[size=(3,), device="cuda:0", dtype=torch.float32]', 'reduction': "'none'"}, broadcasts_input=False, name='') 2025-12-04T09:29:59.8030555Z 2025-12-04T09:29:59.8030686Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:59.8031224Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=16 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_nll_loss_cuda_float32 2025-12-04T09:29:59.8031630Z 2025-12-04T09:29:59.8031804Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:59.8032224Z ____ TestDecompCUDA.test_comprehensive_nn_functional_nll_loss_cuda_float32 _____ 2025-12-04T09:29:59.8032557Z Traceback (most recent call last): 2025-12-04T09:29:59.8033038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper 2025-12-04T09:29:59.8033520Z return test(*args, **kwargs) 2025-12-04T09:29:59.8033967Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn 2025-12-04T09:29:59.8034435Z return fn(self, *args, **kwargs) 2025-12-04T09:29:59.8034869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper 2025-12-04T09:29:59.8035300Z fn(*args, **kwargs) 2025-12-04T09:29:59.8035706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper 2025-12-04T09:29:59.8036142Z fn(*args, **kwargs) 2025-12-04T09:29:59.8036444Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 602, in test_comprehensive 2025-12-04T09:29:59.8036831Z self.do_cross_ref(device, dtype, op, run_all=True) 2025-12-04T09:29:59.8037301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:59.8037736Z fn(*args, **kwargs) 2025-12-04T09:29:59.8038020Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 989, in do_cross_ref 2025-12-04T09:29:59.8038425Z decomp_out, decomp_vjp_fn = ref_vjp_no_create(fn, *primals) 2025-12-04T09:29:59.8038843Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 147, in ref_vjp_no_create 2025-12-04T09:29:59.8039191Z result = f(*primals) 2025-12-04T09:29:59.8039497Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 332, in wrapped 2025-12-04T09:29:59.8039816Z result = f(*_args, **kwargs) 2025-12-04T09:29:59.8040207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 3179, in nll_loss 2025-12-04T09:29:59.8040609Z return torch._C._nn.nll_loss_nd( 2025-12-04T09:29:59.8040954Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 904, in __torch_dispatch__ 2025-12-04T09:29:59.8041353Z op_assert_equal( 2025-12-04T09:29:59.8041689Z File "/var/lib/jenkins/workspace/test/test_decomp.py", line 301, in op_assert_equal 2025-12-04T09:29:59.8042037Z test_case.assertEqual( 2025-12-04T09:29:59.8042556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:29:59.8043072Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:29:59.8043352Z AssertionError: Scalars are not close! 2025-12-04T09:29:59.8043510Z 2025-12-04T09:29:59.8043586Z Expected 0.0 but got 26.82069969177246. 2025-12-04T09:29:59.8043858Z Absolute difference: 26.82069969177246 (up to 1e-05 allowed) 2025-12-04T09:29:59.8044149Z Relative difference: inf (up to 1.3e-06 allowed) 2025-12-04T09:29:59.8044393Z nll_loss2d_forward.default 2025-12-04T09:29:59.8044600Z args = (tensor([[[[ 4.8190, 7.3460], 2025-12-04T09:29:59.8044800Z [-3.3716, -1.9502]], 2025-12-04T09:29:59.8044925Z 2025-12-04T09:29:59.8044991Z [[ 3.7840, -2.4334], 2025-12-04T09:29:59.8045174Z [-6.0770, 5.3262]], 2025-12-04T09:29:59.8045286Z 2025-12-04T09:29:59.8045354Z [[ 5.4804, 2.6419], 2025-12-04T09:29:59.8045525Z [-4.5367, 8.6952]]], 2025-12-04T09:29:59.8045647Z 2025-12-04T09:29:59.8045655Z 2025-12-04T09:29:59.8045716Z [[[-5.3580, -6.2350], 2025-12-04T09:29:59.8045890Z [ 6.5964, 3.0786]], 2025-12-04T09:29:59.8046000Z 2025-12-04T09:29:59.8046061Z [[ 6.5471, 7.0122], 2025-12-04T09:29:59.8046232Z [ 1.9026, -6.6098]], 2025-12-04T09:29:59.8046351Z 2025-12-04T09:29:59.8046409Z [[ 2.9192, 2.5116], 2025-12-04T09:29:59.8046662Z [ 5.0646, -0.7863]]]], device='cuda:0', requires_grad=True), tensor([[[0, 1], 2025-12-04T09:29:59.8046935Z [1, 2]], 2025-12-04T09:29:59.8047036Z 2025-12-04T09:29:59.8047103Z [[1, 0], 2025-12-04T09:29:59.8047346Z [0, 0]]], device='cuda:0'), tensor([5.5656, 0.5903, 8.4952], device='cuda:0'), 0, 1) 2025-12-04T09:29:59.8047630Z kwargs = {} 2025-12-04T09:29:59.8047722Z 2025-12-04T09:29:59.8047868Z The above exception was the direct cause of the following exception: 2025-12-04T09:29:59.8048095Z 2025-12-04T09:29:59.8048171Z Traceback (most recent call last): 2025-12-04T09:29:59.8048618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:59.8049062Z method(*args, **kwargs) 2025-12-04T09:29:59.8049478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:29:59.8049919Z method(*args, **kwargs) 2025-12-04T09:29:59.8050376Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test 2025-12-04T09:29:59.8050877Z result = test(self, **param_kwargs) 2025-12-04T09:29:59.8051320Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:29:59.8051767Z fn(*args, **kwargs) 2025-12-04T09:29:59.8052203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper 2025-12-04T09:29:59.8052685Z raise e_tracked from e 2025-12-04T09:29:59.8052886Z Exception: Scalars are not close! 2025-12-04T09:29:59.8053022Z 2025-12-04T09:29:59.8053103Z Expected 0.0 but got 26.82069969177246. 2025-12-04T09:29:59.8053365Z Absolute difference: 26.82069969177246 (up to 1e-05 allowed) 2025-12-04T09:29:59.8053660Z Relative difference: inf (up to 1.3e-06 allowed) 2025-12-04T09:29:59.8053912Z nll_loss2d_forward.default 2025-12-04T09:29:59.8054100Z args = (tensor([[[[ 4.8190, 7.3460], 2025-12-04T09:29:59.8054301Z [-3.3716, -1.9502]], 2025-12-04T09:29:59.8054418Z 2025-12-04T09:29:59.8054486Z [[ 3.7840, -2.4334], 2025-12-04T09:29:59.8054661Z [-6.0770, 5.3262]], 2025-12-04T09:29:59.8054854Z 2025-12-04T09:29:59.8054952Z [[ 5.4804, 2.6419], 2025-12-04T09:29:59.8055132Z [-4.5367, 8.6952]]], 2025-12-04T09:29:59.8055249Z 2025-12-04T09:29:59.8055252Z 2025-12-04T09:29:59.8055320Z [[[-5.3580, -6.2350], 2025-12-04T09:29:59.8055557Z [ 6.5964, 3.0786]], 2025-12-04T09:29:59.8055686Z 2025-12-04T09:29:59.8055748Z [[ 6.5471, 7.0122], 2025-12-04T09:29:59.8055928Z [ 1.9026, -6.6098]], 2025-12-04T09:29:59.8056040Z 2025-12-04T09:29:59.8056100Z [[ 2.9192, 2.5116], 2025-12-04T09:29:59.8056361Z [ 5.0646, -0.7863]]]], device='cuda:0', requires_grad=True), tensor([[[0, 1], 2025-12-04T09:29:59.8056640Z [1, 2]], 2025-12-04T09:29:59.8056736Z 2025-12-04T09:29:59.8056799Z [[1, 0], 2025-12-04T09:29:59.8057036Z [0, 0]]], device='cuda:0'), tensor([5.5656, 0.5903, 8.4952], device='cuda:0'), 0, 1) 2025-12-04T09:29:59.8057323Z kwargs = {} 2025-12-04T09:29:59.8057409Z 2025-12-04T09:29:59.8058292Z Caused by sample input at index 19: SampleInput(input=Tensor[size=(2, 3, 2, 2), device="cuda:0", dtype=torch.float32], args=TensorList[Tensor[size=(2, 2, 2), device="cuda:0", dtype=torch.int64]], kwargs={'ignore_index': '1', 'reduction': "'none'", 'weight': 'Tensor[size=(3,), device="cuda:0", dtype=torch.float32]'}, broadcasts_input=False, name='') 2025-12-04T09:29:59.8059131Z 2025-12-04T09:29:59.8059264Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:59.8059794Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=19 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_nll_loss_cuda_float32 2025-12-04T09:29:59.8060205Z 2025-12-04T09:29:59.8060365Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:59.8060948Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-8cc83badbec27360.xml - 2025-12-04T09:29:59.8061467Z =========================== short test summary info ============================ 2025-12-04T09:29:59.8061996Z FAILED [1.7626s] test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 - Exception: Scalars are not close! 2025-12-04T09:29:59.8062404Z 2025-12-04T09:29:59.8062481Z Expected 0.0 but got 12.327637672424316. 2025-12-04T09:29:59.8062770Z Absolute difference: 12.327637672424316 (up to 1e-05 allowed) 2025-12-04T09:29:59.8063063Z Relative difference: inf (up to 1.3e-06 allowed) 2025-12-04T09:29:59.8063296Z nll_loss2d_forward.default 2025-12-04T09:29:59.8063488Z args = (tensor([[[[ 4.8190, 7.3460], 2025-12-04T09:29:59.8063686Z [-3.3716, -1.9502]], 2025-12-04T09:29:59.8063802Z 2025-12-04T09:29:59.8063865Z [[ 3.7840, -2.4334], 2025-12-04T09:29:59.8064044Z [-6.0770, 5.3262]], 2025-12-04T09:29:59.8064157Z 2025-12-04T09:29:59.8064223Z [[ 5.4804, 2.6419], 2025-12-04T09:29:59.8064400Z [-4.5367, 8.6952]]], 2025-12-04T09:29:59.8064523Z 2025-12-04T09:29:59.8064526Z 2025-12-04T09:29:59.8064587Z [[[-5.3580, -6.2350], 2025-12-04T09:29:59.8064768Z [ 6.5964, 3.0786]], 2025-12-04T09:29:59.8064879Z 2025-12-04T09:29:59.8064949Z [[ 6.5471, 7.0122], 2025-12-04T09:29:59.8065117Z [ 1.9026, -6.6098]], 2025-12-04T09:29:59.8065235Z 2025-12-04T09:29:59.8065299Z [[ 2.9192, 2.5116], 2025-12-04T09:29:59.8065557Z [ 5.0646, -0.7863]]]], device='cuda:0', requires_grad=True), tensor([[[1, 0], 2025-12-04T09:29:59.8065837Z [1, 0]], 2025-12-04T09:29:59.8065938Z 2025-12-04T09:29:59.8065997Z [[0, 1], 2025-12-04T09:29:59.8066244Z [0, 0]]], device='cuda:0'), tensor([2.5581, 4.5648, 7.9102], device='cuda:0'), 0, -100) 2025-12-04T09:29:59.8066536Z kwargs = {} 2025-12-04T09:29:59.8066620Z 2025-12-04T09:29:59.8067342Z Caused by sample input at index 16: SampleInput(input=Tensor[size=(2, 3, 2, 2), device="cuda:0", dtype=torch.float32], args=TensorList[Tensor[size=(2, 2, 2), device="cuda:0", dtype=torch.int64]], kwargs={'weight': 'Tensor[size=(3,), device="cuda:0", dtype=torch.float32]', 'reduction': "'none'"}, broadcasts_input=False, name='') 2025-12-04T09:29:59.8068288Z 2025-12-04T09:29:59.8068418Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:59.8069024Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=16 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_nll_loss_cuda_float32 2025-12-04T09:29:59.8069432Z 2025-12-04T09:29:59.8069597Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:59.8070159Z FAILED [2.4056s] test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32 - Exception: Scalars are not close! 2025-12-04T09:29:59.8070571Z 2025-12-04T09:29:59.8070646Z Expected 0.0 but got 26.82069969177246. 2025-12-04T09:29:59.8070912Z Absolute difference: 26.82069969177246 (up to 1e-05 allowed) 2025-12-04T09:29:59.8071203Z Relative difference: inf (up to 1.3e-06 allowed) 2025-12-04T09:29:59.8071437Z nll_loss2d_forward.default 2025-12-04T09:29:59.8071650Z args = (tensor([[[[ 4.8190, 7.3460], 2025-12-04T09:29:59.8071851Z [-3.3716, -1.9502]], 2025-12-04T09:29:59.8071970Z 2025-12-04T09:29:59.8072031Z [[ 3.7840, -2.4334], 2025-12-04T09:29:59.8072212Z [-6.0770, 5.3262]], 2025-12-04T09:29:59.8072330Z 2025-12-04T09:29:59.8072394Z [[ 5.4804, 2.6419], 2025-12-04T09:29:59.8072567Z [-4.5367, 8.6952]]], 2025-12-04T09:29:59.8072685Z 2025-12-04T09:29:59.8072688Z 2025-12-04T09:29:59.8072779Z [[[-5.3580, -6.2350], 2025-12-04T09:29:59.8073070Z [ 6.5964, 3.0786]], 2025-12-04T09:29:59.8073259Z 2025-12-04T09:29:59.8073327Z [[ 6.5471, 7.0122], 2025-12-04T09:29:59.8073496Z [ 1.9026, -6.6098]], 2025-12-04T09:29:59.8073614Z 2025-12-04T09:29:59.8073677Z [[ 2.9192, 2.5116], 2025-12-04T09:29:59.8073927Z [ 5.0646, -0.7863]]]], device='cuda:0', requires_grad=True), tensor([[[0, 1], 2025-12-04T09:29:59.8074207Z [1, 2]], 2025-12-04T09:29:59.8074302Z 2025-12-04T09:29:59.8074362Z [[1, 0], 2025-12-04T09:29:59.8074599Z [0, 0]]], device='cuda:0'), tensor([5.5656, 0.5903, 8.4952], device='cuda:0'), 0, 1) 2025-12-04T09:29:59.8074878Z kwargs = {} 2025-12-04T09:29:59.8074963Z 2025-12-04T09:29:59.8075725Z Caused by sample input at index 19: SampleInput(input=Tensor[size=(2, 3, 2, 2), device="cuda:0", dtype=torch.float32], args=TensorList[Tensor[size=(2, 2, 2), device="cuda:0", dtype=torch.int64]], kwargs={'ignore_index': '1', 'reduction': "'none'", 'weight': 'Tensor[size=(3,), device="cuda:0", dtype=torch.float32]'}, broadcasts_input=False, name='') 2025-12-04T09:29:59.8076556Z 2025-12-04T09:29:59.8076681Z To execute this test, run the following from the base repo dir: 2025-12-04T09:29:59.8077216Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=19 python test/test_decomp.py TestDecompCUDA.test_comprehensive_nn_functional_nll_loss_cuda_float32 2025-12-04T09:29:59.8077628Z 2025-12-04T09:29:59.8077791Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:29:59.8078147Z =================== 2 failed, 48 passed in 418.00s (0:06:58) =================== 2025-12-04T09:29:59.8078344Z 2025-12-04T09:29:59.8078582Z FINISHED PRINTING LOG FILE of test_decomp 5/22 (test/test-reports/test_decomp_5.22_93adc374bbf3aec7_.log) 2025-12-04T09:29:59.8078904Z 2025-12-04T09:29:59.8079062Z Finished test_decomp 5/22 ... [2025-12-04 09:29:59.793981][2246.212775786], took 7.08min 2025-12-04T09:29:59.8079685Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-8cc83badbec27360.xml 2025-12-04T09:30:00.7617932Z Uploading logs for 57116084932 to S3 2025-12-04T09:30:00.8271036Z Uploading artifacts took 0.98 seconds 2025-12-04T09:30:00.8271404Z test_decomp 5/22 failed! 2025-12-04T09:30:01.4303957Z Running test_decomp 19/22 ... [2025-12-04 09:30:01.429885][2247.848681547] 2025-12-04T09:30:01.4304468Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:30:01.4305841Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=19', '--num-shards=22', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:01.430292] 2025-12-04T09:30:03.3617248Z Running test_cuda_expandable_segments 1/1 ... [2025-12-04 09:30:03.361229][2249.78002649] 2025-12-04T09:30:03.3618081Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:30:03.3620091Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_expandable_segments.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:03.361638] 2025-12-04T09:30:18.8563011Z 2025-12-04T09:30:18.8564078Z PRINTING LOG FILE of test_cuda_expandable_segments 1/1 (test/test-reports/test_cuda_expandable_segments_1.1_850ec48e0cc7d590_.log) 2025-12-04T09:30:18.8566066Z /var/lib/jenkins/workspace/test/test_cuda_expandable_segments.py:36: FutureWarning: torch.cuda._set_allocator_settings is deprecated. Use torch._C._accelerator_setAllocatorSettings instead. 2025-12-04T09:30:18.8567723Z torch.cuda.memory._set_allocator_settings("expandable_segments:True") 2025-12-04T09:30:18.8568912Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to ./.pytorch-disabled-tests.json 2025-12-04T09:30:18.8570268Z Test results will be stored in test-reports/python-pytest/test_cuda_expandable_segments/test_cuda_expandable_segments-ee10b3d6f67b701f.xml 2025-12-04T09:30:18.8571240Z ============================= test session starts ============================== 2025-12-04T09:30:18.8571995Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T09:30:18.8572618Z cachedir: .pytest_cache 2025-12-04T09:30:18.8573340Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T09:30:18.8574161Z rootdir: /var/lib/jenkins/workspace 2025-12-04T09:30:18.8574503Z configfile: pytest.ini 2025-12-04T09:30:18.8575083Z 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 2025-12-04T09:30:18.8576038Z collecting ... collected 175 items / 1150 deselected / -975 selected 2025-12-04T09:30:18.8576646Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T09:30:18.8642197Z Running 250 items in this shard: test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, 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test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, 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test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp 2025-12-04T09:30:18.8698559Z 2025-12-04T09:30:18.8699156Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 0%] 2025-12-04T09:30:18.8700083Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0034s] [ 0%] 2025-12-04T09:30:18.8700999Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 1%] 2025-12-04T09:30:18.8701926Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.2449s] [ 1%] 2025-12-04T09:30:18.8702974Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py [W1204 09:30:07.987350782 unwind.cpp:219] Warning: Unsupported unwinding pattern: Address not in range (function unwinderFor) 2025-12-04T09:30:18.8703779Z FAILED [9.0340s] [ 2%] 2025-12-04T09:30:18.8704451Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0008s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8705597Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8706725Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8707863Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8709008Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8710147Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8711285Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8712748Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8713897Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8715039Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8716171Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8717309Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8718446Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8719575Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8720724Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8721971Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8723269Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8724425Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8725562Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8726687Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8727826Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8728952Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8730081Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8731209Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8732336Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8733466Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8734594Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8747670Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8748988Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8750159Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8751304Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8752440Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8753801Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8754955Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8756095Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8757219Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8758368Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8759499Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8760622Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8761752Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8762882Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8764027Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0009s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8765190Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8766332Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8767474Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8768612Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8769744Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8770881Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8772095Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8773050Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0014s] [ 2%] 2025-12-04T09:30:18.8773704Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0009s] [ 2%] 2025-12-04T09:30:18.8774338Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8774973Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0009s] [ 2%] 2025-12-04T09:30:18.8775596Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0009s] [ 2%] 2025-12-04T09:30:18.8776227Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0009s] [ 2%] 2025-12-04T09:30:18.8776859Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0009s] [ 2%] 2025-12-04T09:30:18.8777497Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8778246Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0009s] [ 2%] 2025-12-04T09:30:18.8778884Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8779523Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0009s] [ 2%] 2025-12-04T09:30:18.8780150Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8780773Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8781404Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0009s] [ 2%] 2025-12-04T09:30:18.8782031Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8782658Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8783278Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8783907Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8784540Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8785170Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0009s] [ 2%] 2025-12-04T09:30:18.8785790Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8786420Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8787047Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0009s] [ 2%] 2025-12-04T09:30:18.8787674Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8788306Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0009s] [ 2%] 2025-12-04T09:30:18.8789029Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8790515Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8791169Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8791788Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8792414Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8793037Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8793662Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8794286Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8794913Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8795533Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8796154Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8796771Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8797391Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8798012Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8798644Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8799271Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8799894Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8800518Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0009s] [ 2%] 2025-12-04T09:30:18.8801141Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8801762Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8802389Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8803019Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8803645Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8804265Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py PASSED [0.0008s] [ 2%] 2025-12-04T09:30:18.8805170Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8806351Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8807676Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8808839Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8809995Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8811136Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8812678Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8813859Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8815021Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8816175Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8817328Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8818597Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8819759Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8820914Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8822079Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8823231Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8824375Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8825536Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8826995Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8828166Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0007s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8829334Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8830487Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8831640Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8832792Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8833941Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8835089Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8836241Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8837392Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8838538Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8839688Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8840843Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8842008Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8843160Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8844309Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8845607Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0006s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8846766Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8847921Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8849093Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8850256Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8851408Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8852561Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8853713Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8854866Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8856019Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8857170Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8858440Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8859599Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8860757Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8861911Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py SKIPPED [0.0005s] (Test is enabled but --rerun-disabled-tests verification mode is set, so only disabled tests are run) [ 2%] 2025-12-04T09:30:18.8862815Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0138s] [ 2%] 2025-12-04T09:30:18.8863554Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0118s] [ 2%] 2025-12-04T09:30:18.8864257Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0118s] [ 2%] 2025-12-04T09:30:18.8864897Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0116s] [ 2%] 2025-12-04T09:30:18.8865526Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0114s] [ 2%] 2025-12-04T09:30:18.8866162Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0117s] [ 2%] 2025-12-04T09:30:18.8866803Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0114s] [ 2%] 2025-12-04T09:30:18.8867438Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0116s] [ 2%] 2025-12-04T09:30:18.8868076Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0114s] [ 2%] 2025-12-04T09:30:18.8868710Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0116s] [ 2%] 2025-12-04T09:30:18.8869336Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0114s] [ 2%] 2025-12-04T09:30:18.8869973Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0116s] [ 2%] 2025-12-04T09:30:18.8870607Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0114s] [ 2%] 2025-12-04T09:30:18.8871243Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0115s] [ 2%] 2025-12-04T09:30:18.8871868Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0115s] [ 2%] 2025-12-04T09:30:18.8872508Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0116s] [ 2%] 2025-12-04T09:30:18.8873148Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0114s] [ 2%] 2025-12-04T09:30:18.8873783Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0115s] [ 2%] 2025-12-04T09:30:18.8874411Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0114s] [ 2%] 2025-12-04T09:30:18.8875045Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0115s] [ 2%] 2025-12-04T09:30:18.8875675Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0114s] [ 2%] 2025-12-04T09:30:18.8876306Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0116s] [ 2%] 2025-12-04T09:30:18.8876953Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0114s] [ 2%] 2025-12-04T09:30:18.8877599Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0116s] [ 2%] 2025-12-04T09:30:18.8878230Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0123s] [ 2%] 2025-12-04T09:30:18.8878865Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0121s] [ 2%] 2025-12-04T09:30:18.8879503Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0116s] [ 2%] 2025-12-04T09:30:18.8880130Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0117s] [ 2%] 2025-12-04T09:30:18.8880780Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0115s] [ 2%] 2025-12-04T09:30:18.8881543Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0118s] [ 2%] 2025-12-04T09:30:18.8882254Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0117s] [ 2%] 2025-12-04T09:30:18.8882888Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0120s] [ 2%] 2025-12-04T09:30:18.8883541Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0130s] [ 2%] 2025-12-04T09:30:18.8884173Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0138s] [ 2%] 2025-12-04T09:30:18.8884805Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0126s] [ 2%] 2025-12-04T09:30:18.8885435Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0130s] [ 2%] 2025-12-04T09:30:18.8886066Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0135s] [ 2%] 2025-12-04T09:30:18.8886701Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0127s] [ 2%] 2025-12-04T09:30:18.8887333Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0120s] [ 2%] 2025-12-04T09:30:18.8887960Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0121s] [ 2%] 2025-12-04T09:30:18.8888593Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0118s] [ 2%] 2025-12-04T09:30:18.8889223Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0119s] [ 2%] 2025-12-04T09:30:18.8889854Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0117s] [ 2%] 2025-12-04T09:30:18.8890497Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0119s] [ 2%] 2025-12-04T09:30:18.8891131Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0116s] [ 2%] 2025-12-04T09:30:18.8891759Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0118s] [ 2%] 2025-12-04T09:30:18.8892389Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0115s] [ 2%] 2025-12-04T09:30:18.8893015Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0118s] [ 2%] 2025-12-04T09:30:18.8893649Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py FAILED [0.0115s] [ 2%] 2025-12-04T09:30:18.8894313Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0014s] [ 2%] 2025-12-04T09:30:18.8895016Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0011s] [ 2%] 2025-12-04T09:30:18.8895697Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0011s] [ 2%] 2025-12-04T09:30:18.8896378Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0014s] [ 2%] 2025-12-04T09:30:18.8897056Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0010s] [ 2%] 2025-12-04T09:30:18.8897734Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0012s] [ 2%] 2025-12-04T09:30:18.8898492Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0011s] [ 2%] 2025-12-04T09:30:18.8899258Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0014s] [ 2%] 2025-12-04T09:30:18.8900003Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0010s] [ 2%] 2025-12-04T09:30:18.8900689Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0012s] [ 2%] 2025-12-04T09:30:18.8901361Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0010s] [ 2%] 2025-12-04T09:30:18.8902044Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0013s] [ 2%] 2025-12-04T09:30:18.8902725Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0010s] [ 2%] 2025-12-04T09:30:18.8903411Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0012s] [ 2%] 2025-12-04T09:30:18.8904102Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0011s] [ 2%] 2025-12-04T09:30:18.8904782Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0013s] [ 2%] 2025-12-04T09:30:18.8905468Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0010s] [ 2%] 2025-12-04T09:30:18.8906150Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0011s] [ 2%] 2025-12-04T09:30:18.8906825Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0010s] [ 2%] 2025-12-04T09:30:18.8907511Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0013s] [ 2%] 2025-12-04T09:30:18.8908199Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0010s] [ 2%] 2025-12-04T09:30:18.8908884Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0013s] [ 2%] 2025-12-04T09:30:18.8909562Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0011s] [ 2%] 2025-12-04T09:30:18.8910247Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0015s] [ 2%] 2025-12-04T09:30:18.8910928Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0011s] [ 2%] 2025-12-04T09:30:18.8911609Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0012s] [ 2%] 2025-12-04T09:30:18.8912602Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0011s] [ 2%] 2025-12-04T09:30:18.8913289Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0014s] [ 2%] 2025-12-04T09:30:18.8913966Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0010s] [ 2%] 2025-12-04T09:30:18.8914647Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0012s] [ 2%] 2025-12-04T09:30:18.8915325Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0015s] [ 2%] 2025-12-04T09:30:18.8915995Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0011s] [ 2%] 2025-12-04T09:30:18.8916870Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0011s] [ 2%] 2025-12-04T09:30:18.8917674Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0011s] [ 2%] 2025-12-04T09:30:18.8918369Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0013s] [ 2%] 2025-12-04T09:30:18.8919044Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0010s] [ 2%] 2025-12-04T09:30:18.8919721Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0010s] [ 2%] 2025-12-04T09:30:18.8920396Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0011s] [ 2%] 2025-12-04T09:30:18.8921076Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0012s] [ 2%] 2025-12-04T09:30:18.8921758Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0010s] [ 2%] 2025-12-04T09:30:18.8922439Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0010s] [ 2%] 2025-12-04T09:30:18.8923119Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0010s] [ 2%] 2025-12-04T09:30:18.8923798Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0012s] [ 2%] 2025-12-04T09:30:18.8924483Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0010s] [ 2%] 2025-12-04T09:30:18.8925164Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0010s] [ 2%] 2025-12-04T09:30:18.8925845Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0011s] [ 2%] 2025-12-04T09:30:18.8926526Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0012s] [ 2%] 2025-12-04T09:30:18.8927201Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0010s] [ 2%] 2025-12-04T09:30:18.8927883Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py FAILED [0.0010s] [ 2%] 2025-12-04T09:30:18.8928268Z 2025-12-04T09:30:18.8928366Z =================================== FAILURES =================================== 2025-12-04T09:30:18.8928709Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.8929020Z Traceback (most recent call last): 2025-12-04T09:30:18.8929391Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4091, in test_memory_snapshot 2025-12-04T09:30:18.8929787Z torch.cuda.memory._save_segment_usage(f.name) 2025-12-04T09:30:18.8930258Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/memory.py", line 1288, in _save_segment_usage 2025-12-04T09:30:18.8930699Z f.write(_segments(snapshot)) 2025-12-04T09:30:18.8931110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/_memory_viz.py", line 158, in segments 2025-12-04T09:30:18.8931537Z return format_flamegraph(f.getvalue()) 2025-12-04T09:30:18.8931975Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/_memory_viz.py", line 100, in format_flamegraph 2025-12-04T09:30:18.8932492Z with tempfile.NamedTemporaryFile(mode="wb", suffix=".pl") as f: 2025-12-04T09:30:18.8932890Z File "/opt/conda/envs/py_3.10/lib/python3.10/tempfile.py", line 518, in __exit__ 2025-12-04T09:30:18.8933204Z self.close() 2025-12-04T09:30:18.8933462Z File "/opt/conda/envs/py_3.10/lib/python3.10/tempfile.py", line 525, in close 2025-12-04T09:30:18.8933860Z self._closer.close() 2025-12-04T09:30:18.8934143Z File "/opt/conda/envs/py_3.10/lib/python3.10/tempfile.py", line 462, in close 2025-12-04T09:30:18.8934441Z unlink(self.name) 2025-12-04T09:30:18.8934816Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmp4ks8h53d.pl' 2025-12-04T09:30:18.8935220Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.8935591Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.8935997Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.8936324Z Traceback (most recent call last): 2025-12-04T09:30:18.8936705Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.8937111Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.8937475Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.8937835Z raise self.failureException(msg) 2025-12-04T09:30:18.8938139Z AssertionError: False is not true 2025-12-04T09:30:18.8938285Z 2025-12-04T09:30:18.8938421Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.8938805Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.8939055Z 2025-12-04T09:30:18.8939222Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.8939611Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.8939924Z Traceback (most recent call last): 2025-12-04T09:30:18.8940271Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.8940686Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.8941214Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.8941750Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.8942040Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.8942191Z 2025-12-04T09:30:18.8942275Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.8942505Z Absolute difference: 1019904 2025-12-04T09:30:18.8942720Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.8942869Z 2025-12-04T09:30:18.8943009Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.8943369Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.8943602Z 2025-12-04T09:30:18.8943762Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.8944138Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.8944503Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.8944893Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.8945209Z Traceback (most recent call last): 2025-12-04T09:30:18.8945561Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.8945976Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.8946512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.8947046Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.8947330Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.8947491Z 2025-12-04T09:30:18.8947568Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.8947792Z Absolute difference: 2039808 2025-12-04T09:30:18.8948002Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.8948153Z 2025-12-04T09:30:18.8948282Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.8948742Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.8948971Z 2025-12-04T09:30:18.8949142Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.8949578Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.8949939Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.8950323Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.8950641Z Traceback (most recent call last): 2025-12-04T09:30:18.8950981Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.8951411Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.8951943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.8952464Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.8952744Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.8952903Z 2025-12-04T09:30:18.8952979Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.8953203Z Absolute difference: 1019904 2025-12-04T09:30:18.8953405Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.8953563Z 2025-12-04T09:30:18.8953691Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.8954042Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.8954265Z 2025-12-04T09:30:18.8954428Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.8954792Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.8955155Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.8955536Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.8955847Z Traceback (most recent call last): 2025-12-04T09:30:18.8956197Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.8956614Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.8957138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.8957643Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.8957924Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.8958075Z 2025-12-04T09:30:18.8958156Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.8958369Z Absolute difference: 2039808 2025-12-04T09:30:18.8958571Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.8958721Z 2025-12-04T09:30:18.8958847Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.8959198Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.8959422Z 2025-12-04T09:30:18.8959579Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.8959956Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.8960323Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.8960699Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.8961007Z Traceback (most recent call last): 2025-12-04T09:30:18.8961345Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.8961755Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.8962271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.8962784Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.8963154Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.8963301Z 2025-12-04T09:30:18.8963384Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.8963594Z Absolute difference: 1019904 2025-12-04T09:30:18.8963874Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.8964025Z 2025-12-04T09:30:18.8964156Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.8964499Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.8964728Z 2025-12-04T09:30:18.8964886Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.8965252Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.8965611Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.8965987Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.8966299Z Traceback (most recent call last): 2025-12-04T09:30:18.8966641Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.8967051Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.8967573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.8968084Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.8968376Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.8968524Z 2025-12-04T09:30:18.8968600Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.8968820Z Absolute difference: 2039808 2025-12-04T09:30:18.8969038Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.8969182Z 2025-12-04T09:30:18.8969315Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.8969660Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.8969898Z 2025-12-04T09:30:18.8970056Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.8970421Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.8970776Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.8971173Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.8971485Z Traceback (most recent call last): 2025-12-04T09:30:18.8971828Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.8972237Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.8972767Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.8973289Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.8973563Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.8973722Z 2025-12-04T09:30:18.8973796Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.8974014Z Absolute difference: 1019904 2025-12-04T09:30:18.8974215Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.8974360Z 2025-12-04T09:30:18.8974489Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.8974838Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.8975060Z 2025-12-04T09:30:18.8975225Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.8975586Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.8975945Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.8976327Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.8976634Z Traceback (most recent call last): 2025-12-04T09:30:18.8977036Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.8977489Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.8978153Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.8978669Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.8978945Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.8979101Z 2025-12-04T09:30:18.8979178Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.8979398Z Absolute difference: 2039808 2025-12-04T09:30:18.8979598Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.8979749Z 2025-12-04T09:30:18.8979875Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.8980224Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.8980446Z 2025-12-04T09:30:18.8980610Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.8980970Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.8981332Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.8981724Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.8982031Z Traceback (most recent call last): 2025-12-04T09:30:18.8982378Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.8982794Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.8983316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.8983823Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.8984106Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.8984252Z 2025-12-04T09:30:18.8984341Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.8984555Z Absolute difference: 1019904 2025-12-04T09:30:18.8984762Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.8984919Z 2025-12-04T09:30:18.8985064Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.8985429Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.8985659Z 2025-12-04T09:30:18.8985821Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.8986195Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.8986569Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.8986952Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.8987269Z Traceback (most recent call last): 2025-12-04T09:30:18.8987621Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.8988069Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.8988599Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.8989127Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.8989423Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.8989576Z 2025-12-04T09:30:18.8989667Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.8989886Z Absolute difference: 2039808 2025-12-04T09:30:18.8990092Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.8990237Z 2025-12-04T09:30:18.8990370Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.8990721Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.8990949Z 2025-12-04T09:30:18.8991104Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.8991557Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.8991923Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.8992388Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.8992703Z Traceback (most recent call last): 2025-12-04T09:30:18.8993048Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.8993458Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.8993985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.8994499Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.8994783Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.8994933Z 2025-12-04T09:30:18.8995012Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.8995240Z Absolute difference: 1019904 2025-12-04T09:30:18.8995464Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.8995612Z 2025-12-04T09:30:18.8995741Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.8996094Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.8996322Z 2025-12-04T09:30:18.8996482Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.8996852Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.8997212Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.8997599Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.8997922Z Traceback (most recent call last): 2025-12-04T09:30:18.8998264Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.8998681Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.8999212Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.8999728Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9000007Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9000164Z 2025-12-04T09:30:18.9000242Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9000465Z Absolute difference: 2039808 2025-12-04T09:30:18.9000663Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9000816Z 2025-12-04T09:30:18.9000943Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9001294Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9001525Z 2025-12-04T09:30:18.9001696Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9002059Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9002425Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9002815Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9003128Z Traceback (most recent call last): 2025-12-04T09:30:18.9003465Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9003884Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9004408Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9004917Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9005202Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9005349Z 2025-12-04T09:30:18.9005434Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9005658Z Absolute difference: 1019904 2025-12-04T09:30:18.9005913Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9006103Z 2025-12-04T09:30:18.9006230Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9006576Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9006884Z 2025-12-04T09:30:18.9007146Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9007776Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9008209Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9008609Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9008918Z Traceback (most recent call last): 2025-12-04T09:30:18.9009264Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9009678Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9010203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9010718Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9011012Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9011165Z 2025-12-04T09:30:18.9011249Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9011467Z Absolute difference: 2039808 2025-12-04T09:30:18.9011675Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9011821Z 2025-12-04T09:30:18.9011956Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9012626Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9012862Z 2025-12-04T09:30:18.9013019Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9013392Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9013761Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9014141Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9014451Z Traceback (most recent call last): 2025-12-04T09:30:18.9014798Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9015205Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9015728Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9016242Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9016529Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9016680Z 2025-12-04T09:30:18.9016759Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9016987Z Absolute difference: 1019904 2025-12-04T09:30:18.9017205Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9017353Z 2025-12-04T09:30:18.9017486Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9017838Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9018183Z 2025-12-04T09:30:18.9018352Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9018727Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9019094Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9019479Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9019790Z Traceback (most recent call last): 2025-12-04T09:30:18.9020141Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9020551Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9021077Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9021804Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9022086Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9022246Z 2025-12-04T09:30:18.9022439Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9022677Z Absolute difference: 2039808 2025-12-04T09:30:18.9022891Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9023039Z 2025-12-04T09:30:18.9023168Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9023525Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9023749Z 2025-12-04T09:30:18.9023915Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9024280Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9024648Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9025035Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9025343Z Traceback (most recent call last): 2025-12-04T09:30:18.9025685Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9026104Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9026643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9027155Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9027430Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9027585Z 2025-12-04T09:30:18.9027664Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9027885Z Absolute difference: 1019904 2025-12-04T09:30:18.9028083Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9028237Z 2025-12-04T09:30:18.9028367Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9028724Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9028947Z 2025-12-04T09:30:18.9029110Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9029471Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9029835Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9030215Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9030518Z Traceback (most recent call last): 2025-12-04T09:30:18.9030865Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9031281Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9031803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9032313Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9032598Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9032746Z 2025-12-04T09:30:18.9032830Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9033048Z Absolute difference: 2039808 2025-12-04T09:30:18.9033272Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9033419Z 2025-12-04T09:30:18.9033557Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9033905Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9034129Z 2025-12-04T09:30:18.9034285Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9034650Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9035008Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9035385Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9035791Z Traceback (most recent call last): 2025-12-04T09:30:18.9036135Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9036621Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9037147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9037672Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9037954Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9038103Z 2025-12-04T09:30:18.9038185Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9038409Z Absolute difference: 1019904 2025-12-04T09:30:18.9038616Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9038763Z 2025-12-04T09:30:18.9038896Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9039246Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9039477Z 2025-12-04T09:30:18.9039637Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9040007Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9040371Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9040745Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9041056Z Traceback (most recent call last): 2025-12-04T09:30:18.9041403Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9041809Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9042332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9042839Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9043128Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9043277Z 2025-12-04T09:30:18.9043354Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9043574Z Absolute difference: 2039808 2025-12-04T09:30:18.9043798Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9043946Z 2025-12-04T09:30:18.9044069Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9044418Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9044647Z 2025-12-04T09:30:18.9044806Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9045170Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9045524Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9045906Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9046217Z Traceback (most recent call last): 2025-12-04T09:30:18.9046553Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9046966Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9047497Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9048006Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9048280Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9048448Z 2025-12-04T09:30:18.9048527Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9048753Z Absolute difference: 1019904 2025-12-04T09:30:18.9048952Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9049109Z 2025-12-04T09:30:18.9049236Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9049587Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9049888Z 2025-12-04T09:30:18.9050053Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9050415Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9050878Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9051268Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9051581Z Traceback (most recent call last): 2025-12-04T09:30:18.9051923Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9052336Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9052858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9053360Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9053641Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9053794Z 2025-12-04T09:30:18.9053878Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9054099Z Absolute difference: 2039808 2025-12-04T09:30:18.9054302Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9054456Z 2025-12-04T09:30:18.9054583Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9054934Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9055162Z 2025-12-04T09:30:18.9055320Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9055686Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9056062Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9056444Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9056744Z Traceback (most recent call last): 2025-12-04T09:30:18.9057088Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9057504Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9058123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9058641Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9058919Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9059065Z 2025-12-04T09:30:18.9059149Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9059360Z Absolute difference: 1019904 2025-12-04T09:30:18.9059561Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9059706Z 2025-12-04T09:30:18.9059840Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9060184Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9060412Z 2025-12-04T09:30:18.9060568Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9060948Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9061309Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9061687Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9061994Z Traceback (most recent call last): 2025-12-04T09:30:18.9062337Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9062749Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9063263Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9063768Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9064050Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9064199Z 2025-12-04T09:30:18.9064325Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9064583Z Absolute difference: 2039808 2025-12-04T09:30:18.9064788Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9064933Z 2025-12-04T09:30:18.9065142Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9065492Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9065721Z 2025-12-04T09:30:18.9065884Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9066260Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9066629Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9067018Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9067339Z Traceback (most recent call last): 2025-12-04T09:30:18.9067692Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9068106Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9068634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9069159Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9069447Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9069611Z 2025-12-04T09:30:18.9069693Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9069936Z Absolute difference: 1019904 2025-12-04T09:30:18.9070152Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9070304Z 2025-12-04T09:30:18.9070435Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9070797Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9071029Z 2025-12-04T09:30:18.9071195Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9071568Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9071940Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9072338Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9072658Z Traceback (most recent call last): 2025-12-04T09:30:18.9073004Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9073425Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9073954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9074469Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9074754Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9074918Z 2025-12-04T09:30:18.9075001Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9075235Z Absolute difference: 2039808 2025-12-04T09:30:18.9075437Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9075588Z 2025-12-04T09:30:18.9075715Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9076074Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9076303Z 2025-12-04T09:30:18.9076464Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9076829Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9077195Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9077577Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9077886Z Traceback (most recent call last): 2025-12-04T09:30:18.9078231Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9078649Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9079259Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9079846Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9080135Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9080287Z 2025-12-04T09:30:18.9080374Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9080595Z Absolute difference: 1019904 2025-12-04T09:30:18.9080806Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9080963Z 2025-12-04T09:30:18.9081091Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9081456Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9081685Z 2025-12-04T09:30:18.9081845Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9082216Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9082593Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9082969Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9083288Z Traceback (most recent call last): 2025-12-04T09:30:18.9083637Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9084051Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9084570Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9085080Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9085363Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9085513Z 2025-12-04T09:30:18.9085599Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9085819Z Absolute difference: 2039808 2025-12-04T09:30:18.9086032Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9086181Z 2025-12-04T09:30:18.9086314Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9086660Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9086894Z 2025-12-04T09:30:18.9087052Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9087422Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9087789Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9088168Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9088483Z Traceback (most recent call last): 2025-12-04T09:30:18.9088826Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9089253Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9089778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9090286Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9090572Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9090722Z 2025-12-04T09:30:18.9090800Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9091020Z Absolute difference: 1019904 2025-12-04T09:30:18.9091225Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9091372Z 2025-12-04T09:30:18.9091501Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9091853Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9092079Z 2025-12-04T09:30:18.9092235Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9092599Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9093008Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9093428Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9093742Z Traceback (most recent call last): 2025-12-04T09:30:18.9094145Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9094569Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9095094Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9095601Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9095878Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9096031Z 2025-12-04T09:30:18.9096106Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9096328Z Absolute difference: 2039808 2025-12-04T09:30:18.9096528Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9096682Z 2025-12-04T09:30:18.9096809Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9097157Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9097377Z 2025-12-04T09:30:18.9097546Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9097910Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9098378Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9098761Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9099071Z Traceback (most recent call last): 2025-12-04T09:30:18.9099408Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9099840Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9100365Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9100875Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9101158Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9101311Z 2025-12-04T09:30:18.9101393Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9101614Z Absolute difference: 1019904 2025-12-04T09:30:18.9101922Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9102135Z 2025-12-04T09:30:18.9102295Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9102729Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9103118Z 2025-12-04T09:30:18.9103345Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9103800Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9104214Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9104763Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9105159Z Traceback (most recent call last): 2025-12-04T09:30:18.9105577Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9106133Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9106756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9107352Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9107800Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9107978Z 2025-12-04T09:30:18.9108088Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9108407Z Absolute difference: 2039808 2025-12-04T09:30:18.9108760Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9108939Z 2025-12-04T09:30:18.9109094Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9109621Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9109968Z 2025-12-04T09:30:18.9110154Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9110710Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9111121Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9111655Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9112519Z Traceback (most recent call last): 2025-12-04T09:30:18.9113282Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9113824Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9114448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9115093Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9115468Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9115685Z 2025-12-04T09:30:18.9115795Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9116143Z Absolute difference: 1019904 2025-12-04T09:30:18.9116473Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9116652Z 2025-12-04T09:30:18.9116814Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9117307Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9117597Z 2025-12-04T09:30:18.9117825Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9118288Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9118743Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9119250Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9119654Z Traceback (most recent call last): 2025-12-04T09:30:18.9120114Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9131393Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9132055Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9132594Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9132882Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9133036Z 2025-12-04T09:30:18.9133113Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9133340Z Absolute difference: 2039808 2025-12-04T09:30:18.9133532Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9133678Z 2025-12-04T09:30:18.9133806Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9134164Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9134395Z 2025-12-04T09:30:18.9134557Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9134931Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9135301Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9135680Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9135981Z Traceback (most recent call last): 2025-12-04T09:30:18.9136341Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9136761Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9137286Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9137796Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9138541Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9138694Z 2025-12-04T09:30:18.9138774Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9138987Z Absolute difference: 1019904 2025-12-04T09:30:18.9139319Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9139472Z 2025-12-04T09:30:18.9139599Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9139950Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9140180Z 2025-12-04T09:30:18.9140340Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9140703Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9141064Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9141439Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9141739Z Traceback (most recent call last): 2025-12-04T09:30:18.9142082Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9142511Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9143037Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9143567Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9143844Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9143994Z 2025-12-04T09:30:18.9144072Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9144283Z Absolute difference: 2039808 2025-12-04T09:30:18.9144485Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9144628Z 2025-12-04T09:30:18.9144756Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9145106Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9145344Z 2025-12-04T09:30:18.9145503Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9145876Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9146243Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9146618Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9146928Z Traceback (most recent call last): 2025-12-04T09:30:18.9147285Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9147698Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9148229Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9148753Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9149046Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9149200Z 2025-12-04T09:30:18.9149277Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9149497Z Absolute difference: 1019904 2025-12-04T09:30:18.9149710Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9149859Z 2025-12-04T09:30:18.9149987Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9150342Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9150574Z 2025-12-04T09:30:18.9150731Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9151102Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9151460Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9151850Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9152174Z Traceback (most recent call last): 2025-12-04T09:30:18.9152578Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9153029Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9153646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9154173Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9154456Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9154615Z 2025-12-04T09:30:18.9154693Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9154917Z Absolute difference: 2039808 2025-12-04T09:30:18.9155121Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9155267Z 2025-12-04T09:30:18.9155394Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9155761Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9155989Z 2025-12-04T09:30:18.9156148Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9156529Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9156892Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9157280Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9157583Z Traceback (most recent call last): 2025-12-04T09:30:18.9157928Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9158350Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9158883Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9159388Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9159672Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9159821Z 2025-12-04T09:30:18.9159911Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9160130Z Absolute difference: 1019904 2025-12-04T09:30:18.9160339Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9160484Z 2025-12-04T09:30:18.9160622Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9160977Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9161200Z 2025-12-04T09:30:18.9161368Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9161739Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9162100Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9162472Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9162780Z Traceback (most recent call last): 2025-12-04T09:30:18.9163119Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9163538Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9164053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9164562Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9164852Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9165002Z 2025-12-04T09:30:18.9165076Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9165291Z Absolute difference: 2039808 2025-12-04T09:30:18.9165489Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9165632Z 2025-12-04T09:30:18.9165762Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9166103Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9166331Z 2025-12-04T09:30:18.9166488Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9166930Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9167283Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9167727Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9168035Z Traceback (most recent call last): 2025-12-04T09:30:18.9168373Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9168783Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9169308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9169815Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9170094Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9170242Z 2025-12-04T09:30:18.9170319Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9170541Z Absolute difference: 1019904 2025-12-04T09:30:18.9170743Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9170889Z 2025-12-04T09:30:18.9171025Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9171381Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9171601Z 2025-12-04T09:30:18.9171765Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9172137Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9172498Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9172880Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9173189Z Traceback (most recent call last): 2025-12-04T09:30:18.9173533Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9173945Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9174467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9174979Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9175253Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9175408Z 2025-12-04T09:30:18.9175485Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9175703Z Absolute difference: 2039808 2025-12-04T09:30:18.9175897Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9176048Z 2025-12-04T09:30:18.9176172Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9176520Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9176740Z 2025-12-04T09:30:18.9176902Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9177261Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9177639Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9178121Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9178432Z Traceback (most recent call last): 2025-12-04T09:30:18.9178770Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9179178Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9179697Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9180194Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9180471Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9180618Z 2025-12-04T09:30:18.9180698Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9180913Z Absolute difference: 1019904 2025-12-04T09:30:18.9181162Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9181372Z 2025-12-04T09:30:18.9181495Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9181839Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9182127Z 2025-12-04T09:30:18.9182285Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9182646Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9183002Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9183383Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9183695Z Traceback (most recent call last): 2025-12-04T09:30:18.9184037Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9184446Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9184970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9185482Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9185765Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9185912Z 2025-12-04T09:30:18.9185993Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9186203Z Absolute difference: 2039808 2025-12-04T09:30:18.9186404Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9186549Z 2025-12-04T09:30:18.9186691Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9187035Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9187264Z 2025-12-04T09:30:18.9187422Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9187789Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9188151Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9188528Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9188833Z Traceback (most recent call last): 2025-12-04T09:30:18.9189175Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9189584Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9190105Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9190619Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9190902Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9191049Z 2025-12-04T09:30:18.9191126Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9191346Z Absolute difference: 1019904 2025-12-04T09:30:18.9191552Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9191700Z 2025-12-04T09:30:18.9191829Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9192176Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9192405Z 2025-12-04T09:30:18.9192565Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9192927Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9193293Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9193677Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9193988Z Traceback (most recent call last): 2025-12-04T09:30:18.9194330Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9194742Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9195262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9195848Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9196119Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9196272Z 2025-12-04T09:30:18.9196417Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9196643Z Absolute difference: 2039808 2025-12-04T09:30:18.9196846Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9196996Z 2025-12-04T09:30:18.9197122Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9197472Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9197704Z 2025-12-04T09:30:18.9197863Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9198233Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9198596Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9198981Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9199289Z Traceback (most recent call last): 2025-12-04T09:30:18.9199626Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9200038Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9200559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9201063Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9201347Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9201501Z 2025-12-04T09:30:18.9201577Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9201796Z Absolute difference: 1019904 2025-12-04T09:30:18.9201992Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9202142Z 2025-12-04T09:30:18.9202266Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9202641Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9202861Z 2025-12-04T09:30:18.9203022Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9203380Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9203738Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9204117Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9204425Z Traceback (most recent call last): 2025-12-04T09:30:18.9204759Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9205180Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9205707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9206216Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9206499Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9206654Z 2025-12-04T09:30:18.9206730Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9206954Z Absolute difference: 2039808 2025-12-04T09:30:18.9207156Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9207308Z 2025-12-04T09:30:18.9207433Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9207779Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9208000Z 2025-12-04T09:30:18.9208156Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9208521Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9208881Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9209259Z ___________________ TestCudaMallocAsync.test_memory_snapshot ___________________ 2025-12-04T09:30:18.9209646Z Traceback (most recent call last): 2025-12-04T09:30:18.9209990Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4086, in test_memory_snapshot 2025-12-04T09:30:18.9210475Z self.assertEqual(x.untyped_storage().data_ptr(), b["address"]) 2025-12-04T09:30:18.9210993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:30:18.9211505Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:30:18.9211786Z AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9211933Z 2025-12-04T09:30:18.9212338Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9212608Z Absolute difference: 1019904 2025-12-04T09:30:18.9212886Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9212891Z 2025-12-04T09:30:18.9213020Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9213182Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9213188Z 2025-12-04T09:30:18.9213350Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9213488Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:30:18.9213650Z Downloading flamegraph.pl to: /var/lib/jenkins/.cache//flamegraph.pl 2025-12-04T09:30:18.9213817Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9213894Z Traceback (most recent call last): 2025-12-04T09:30:18.9214130Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9214256Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9214452Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9214537Z raise self.failureException(msg) 2025-12-04T09:30:18.9214613Z AssertionError: False is not true 2025-12-04T09:30:18.9214620Z 2025-12-04T09:30:18.9214754Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9214925Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9214929Z 2025-12-04T09:30:18.9215098Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9215259Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9215336Z Traceback (most recent call last): 2025-12-04T09:30:18.9215561Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9215659Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9215843Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9215940Z raise self.failureException(msg) 2025-12-04T09:30:18.9216017Z AssertionError: False is not true 2025-12-04T09:30:18.9216025Z 2025-12-04T09:30:18.9216158Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9216326Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9216330Z 2025-12-04T09:30:18.9216488Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9216664Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9216740Z Traceback (most recent call last): 2025-12-04T09:30:18.9216966Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9217060Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9217244Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9217327Z raise self.failureException(msg) 2025-12-04T09:30:18.9217401Z AssertionError: False is not true 2025-12-04T09:30:18.9217404Z 2025-12-04T09:30:18.9217688Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9217869Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9217872Z 2025-12-04T09:30:18.9218246Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9218435Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9218513Z Traceback (most recent call last): 2025-12-04T09:30:18.9218741Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9218845Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9219035Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9219114Z raise self.failureException(msg) 2025-12-04T09:30:18.9219200Z AssertionError: False is not true 2025-12-04T09:30:18.9219204Z 2025-12-04T09:30:18.9219331Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9219510Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9219514Z 2025-12-04T09:30:18.9219673Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9219836Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9219920Z Traceback (most recent call last): 2025-12-04T09:30:18.9220140Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9220240Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9220425Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9220506Z raise self.failureException(msg) 2025-12-04T09:30:18.9220600Z AssertionError: False is not true 2025-12-04T09:30:18.9220604Z 2025-12-04T09:30:18.9220730Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9220900Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9220910Z 2025-12-04T09:30:18.9221065Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9221229Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9221312Z Traceback (most recent call last): 2025-12-04T09:30:18.9221534Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9221626Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9221821Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9221899Z raise self.failureException(msg) 2025-12-04T09:30:18.9221980Z AssertionError: False is not true 2025-12-04T09:30:18.9221984Z 2025-12-04T09:30:18.9222110Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9222278Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9222281Z 2025-12-04T09:30:18.9222445Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9222612Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9222691Z Traceback (most recent call last): 2025-12-04T09:30:18.9222918Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9223010Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9223200Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9223278Z raise self.failureException(msg) 2025-12-04T09:30:18.9223354Z AssertionError: False is not true 2025-12-04T09:30:18.9223357Z 2025-12-04T09:30:18.9223487Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9223653Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9223754Z 2025-12-04T09:30:18.9223919Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9224153Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9224234Z Traceback (most recent call last): 2025-12-04T09:30:18.9224461Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9224555Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9224741Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9224827Z raise self.failureException(msg) 2025-12-04T09:30:18.9224904Z AssertionError: False is not true 2025-12-04T09:30:18.9224908Z 2025-12-04T09:30:18.9225040Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9225205Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9225212Z 2025-12-04T09:30:18.9225367Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9225533Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9225614Z Traceback (most recent call last): 2025-12-04T09:30:18.9225831Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9225932Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9226117Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9226206Z raise self.failureException(msg) 2025-12-04T09:30:18.9226282Z AssertionError: False is not true 2025-12-04T09:30:18.9226285Z 2025-12-04T09:30:18.9226409Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9226581Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9226588Z 2025-12-04T09:30:18.9226744Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9226912Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9226992Z Traceback (most recent call last): 2025-12-04T09:30:18.9227212Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9227312Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9227492Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9227582Z raise self.failureException(msg) 2025-12-04T09:30:18.9227667Z AssertionError: False is not true 2025-12-04T09:30:18.9227671Z 2025-12-04T09:30:18.9227795Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9227968Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9227973Z 2025-12-04T09:30:18.9228130Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9228293Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9228375Z Traceback (most recent call last): 2025-12-04T09:30:18.9228593Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9228688Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9228870Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9228950Z raise self.failureException(msg) 2025-12-04T09:30:18.9229031Z AssertionError: False is not true 2025-12-04T09:30:18.9229034Z 2025-12-04T09:30:18.9229157Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9229322Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9229332Z 2025-12-04T09:30:18.9229534Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9229730Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9229819Z Traceback (most recent call last): 2025-12-04T09:30:18.9230108Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9230202Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9230394Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9230474Z raise self.failureException(msg) 2025-12-04T09:30:18.9230550Z AssertionError: False is not true 2025-12-04T09:30:18.9230560Z 2025-12-04T09:30:18.9230692Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9230863Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9230867Z 2025-12-04T09:30:18.9231033Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9231202Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9231280Z Traceback (most recent call last): 2025-12-04T09:30:18.9231522Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9231621Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9231813Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9231894Z raise self.failureException(msg) 2025-12-04T09:30:18.9231971Z AssertionError: False is not true 2025-12-04T09:30:18.9231975Z 2025-12-04T09:30:18.9232111Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9232279Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9232282Z 2025-12-04T09:30:18.9232446Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9232619Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9232697Z Traceback (most recent call last): 2025-12-04T09:30:18.9232926Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9233020Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9233202Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9233289Z raise self.failureException(msg) 2025-12-04T09:30:18.9233364Z AssertionError: False is not true 2025-12-04T09:30:18.9233367Z 2025-12-04T09:30:18.9233503Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9233666Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9233669Z 2025-12-04T09:30:18.9233825Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9233998Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9234073Z Traceback (most recent call last): 2025-12-04T09:30:18.9234292Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9234393Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9234577Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9234663Z raise self.failureException(msg) 2025-12-04T09:30:18.9234739Z AssertionError: False is not true 2025-12-04T09:30:18.9234742Z 2025-12-04T09:30:18.9234868Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9235040Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9235043Z 2025-12-04T09:30:18.9235203Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9235372Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9235536Z Traceback (most recent call last): 2025-12-04T09:30:18.9235757Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9235920Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9236103Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9236185Z raise self.failureException(msg) 2025-12-04T09:30:18.9236266Z AssertionError: False is not true 2025-12-04T09:30:18.9236269Z 2025-12-04T09:30:18.9236393Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9236570Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9236575Z 2025-12-04T09:30:18.9236731Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9236893Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9236980Z Traceback (most recent call last): 2025-12-04T09:30:18.9237196Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9237296Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9237477Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9237558Z raise self.failureException(msg) 2025-12-04T09:30:18.9237640Z AssertionError: False is not true 2025-12-04T09:30:18.9237643Z 2025-12-04T09:30:18.9237770Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9237935Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9237938Z 2025-12-04T09:30:18.9238100Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9238261Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9238347Z Traceback (most recent call last): 2025-12-04T09:30:18.9238566Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9238660Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9238850Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9238928Z raise self.failureException(msg) 2025-12-04T09:30:18.9239004Z AssertionError: False is not true 2025-12-04T09:30:18.9239014Z 2025-12-04T09:30:18.9239138Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9239303Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9239307Z 2025-12-04T09:30:18.9239469Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9239629Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9239711Z Traceback (most recent call last): 2025-12-04T09:30:18.9239938Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9240028Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9240221Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9240301Z raise self.failureException(msg) 2025-12-04T09:30:18.9240377Z AssertionError: False is not true 2025-12-04T09:30:18.9240381Z 2025-12-04T09:30:18.9240539Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9240833Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9240839Z 2025-12-04T09:30:18.9241058Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9241224Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9241303Z Traceback (most recent call last): 2025-12-04T09:30:18.9241623Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9241718Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9242088Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9242218Z raise self.failureException(msg) 2025-12-04T09:30:18.9242299Z AssertionError: False is not true 2025-12-04T09:30:18.9242304Z 2025-12-04T09:30:18.9242448Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9242624Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9242629Z 2025-12-04T09:30:18.9242788Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9242959Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9243039Z Traceback (most recent call last): 2025-12-04T09:30:18.9243397Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9243576Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9243904Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9244048Z raise self.failureException(msg) 2025-12-04T09:30:18.9244183Z AssertionError: False is not true 2025-12-04T09:30:18.9244189Z 2025-12-04T09:30:18.9244414Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9244601Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9244605Z 2025-12-04T09:30:18.9244768Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9244937Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9245012Z Traceback (most recent call last): 2025-12-04T09:30:18.9245237Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9245343Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9245531Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9245613Z raise self.failureException(msg) 2025-12-04T09:30:18.9245696Z AssertionError: False is not true 2025-12-04T09:30:18.9245700Z 2025-12-04T09:30:18.9245828Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9245999Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9246003Z 2025-12-04T09:30:18.9246156Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9246317Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9246399Z Traceback (most recent call last): 2025-12-04T09:30:18.9246617Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9246722Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9246904Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9246987Z raise self.failureException(msg) 2025-12-04T09:30:18.9247067Z AssertionError: False is not true 2025-12-04T09:30:18.9247071Z 2025-12-04T09:30:18.9247196Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9247359Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9247363Z 2025-12-04T09:30:18.9247526Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9247687Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9247778Z Traceback (most recent call last): 2025-12-04T09:30:18.9247998Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9248200Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9248390Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9248536Z raise self.failureException(msg) 2025-12-04T09:30:18.9248613Z AssertionError: False is not true 2025-12-04T09:30:18.9248617Z 2025-12-04T09:30:18.9248748Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9248914Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9248918Z 2025-12-04T09:30:18.9249090Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9249252Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9249327Z Traceback (most recent call last): 2025-12-04T09:30:18.9249551Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9249645Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9249832Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9249911Z raise self.failureException(msg) 2025-12-04T09:30:18.9249988Z AssertionError: False is not true 2025-12-04T09:30:18.9249992Z 2025-12-04T09:30:18.9250122Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9250289Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9250293Z 2025-12-04T09:30:18.9250445Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9250686Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9250765Z Traceback (most recent call last): 2025-12-04T09:30:18.9250989Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9251083Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9251267Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9251353Z raise self.failureException(msg) 2025-12-04T09:30:18.9251431Z AssertionError: False is not true 2025-12-04T09:30:18.9251434Z 2025-12-04T09:30:18.9251563Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9251728Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9251731Z 2025-12-04T09:30:18.9251885Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9252057Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9252133Z Traceback (most recent call last): 2025-12-04T09:30:18.9252351Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9252450Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9252633Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9252719Z raise self.failureException(msg) 2025-12-04T09:30:18.9252794Z AssertionError: False is not true 2025-12-04T09:30:18.9252801Z 2025-12-04T09:30:18.9252926Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9253096Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9253099Z 2025-12-04T09:30:18.9253251Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9253418Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9253493Z Traceback (most recent call last): 2025-12-04T09:30:18.9253710Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9253828Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9254071Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9254188Z raise self.failureException(msg) 2025-12-04T09:30:18.9254269Z AssertionError: False is not true 2025-12-04T09:30:18.9254272Z 2025-12-04T09:30:18.9254467Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9254642Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9254647Z 2025-12-04T09:30:18.9254802Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9254963Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9255043Z Traceback (most recent call last): 2025-12-04T09:30:18.9255267Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9255367Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9255554Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9255638Z raise self.failureException(msg) 2025-12-04T09:30:18.9255719Z AssertionError: False is not true 2025-12-04T09:30:18.9255723Z 2025-12-04T09:30:18.9255850Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9256015Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9256025Z 2025-12-04T09:30:18.9256180Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9256345Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9256427Z Traceback (most recent call last): 2025-12-04T09:30:18.9256646Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9256737Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9256929Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9257012Z raise self.failureException(msg) 2025-12-04T09:30:18.9257105Z AssertionError: False is not true 2025-12-04T09:30:18.9257108Z 2025-12-04T09:30:18.9257237Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9257401Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9257405Z 2025-12-04T09:30:18.9257569Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9257732Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9257807Z Traceback (most recent call last): 2025-12-04T09:30:18.9258167Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9258266Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9258455Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9258538Z raise self.failureException(msg) 2025-12-04T09:30:18.9258614Z AssertionError: False is not true 2025-12-04T09:30:18.9258618Z 2025-12-04T09:30:18.9258748Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9258914Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9258918Z 2025-12-04T09:30:18.9259080Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9259243Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9259317Z Traceback (most recent call last): 2025-12-04T09:30:18.9259537Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9259628Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9259810Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9259947Z raise self.failureException(msg) 2025-12-04T09:30:18.9260061Z AssertionError: False is not true 2025-12-04T09:30:18.9260065Z 2025-12-04T09:30:18.9260196Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9260426Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9260430Z 2025-12-04T09:30:18.9260589Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9260754Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9260828Z Traceback (most recent call last): 2025-12-04T09:30:18.9261045Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9261151Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9261332Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9261417Z raise self.failureException(msg) 2025-12-04T09:30:18.9261494Z AssertionError: False is not true 2025-12-04T09:30:18.9261497Z 2025-12-04T09:30:18.9261621Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9261796Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9261799Z 2025-12-04T09:30:18.9261954Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9262124Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9262199Z Traceback (most recent call last): 2025-12-04T09:30:18.9262415Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9262513Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9262692Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9262770Z raise self.failureException(msg) 2025-12-04T09:30:18.9262855Z AssertionError: False is not true 2025-12-04T09:30:18.9262858Z 2025-12-04T09:30:18.9262983Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9263150Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9263156Z 2025-12-04T09:30:18.9263312Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9263474Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9263554Z Traceback (most recent call last): 2025-12-04T09:30:18.9263771Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9263867Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9264048Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9264136Z raise self.failureException(msg) 2025-12-04T09:30:18.9264221Z AssertionError: False is not true 2025-12-04T09:30:18.9264227Z 2025-12-04T09:30:18.9264352Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9264514Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9264524Z 2025-12-04T09:30:18.9264684Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9264846Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9264928Z Traceback (most recent call last): 2025-12-04T09:30:18.9265145Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9265236Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9265424Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9265503Z raise self.failureException(msg) 2025-12-04T09:30:18.9265579Z AssertionError: False is not true 2025-12-04T09:30:18.9265669Z 2025-12-04T09:30:18.9265795Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9265960Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9265963Z 2025-12-04T09:30:18.9266217Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9266382Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9266458Z Traceback (most recent call last): 2025-12-04T09:30:18.9266681Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9266772Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9266961Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9267041Z raise self.failureException(msg) 2025-12-04T09:30:18.9267117Z AssertionError: False is not true 2025-12-04T09:30:18.9267120Z 2025-12-04T09:30:18.9267253Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9267416Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9267419Z 2025-12-04T09:30:18.9267586Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9267752Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9267828Z Traceback (most recent call last): 2025-12-04T09:30:18.9268061Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9268153Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9268331Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9268430Z raise self.failureException(msg) 2025-12-04T09:30:18.9268506Z AssertionError: False is not true 2025-12-04T09:30:18.9268509Z 2025-12-04T09:30:18.9268641Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9268809Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9268814Z 2025-12-04T09:30:18.9268971Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9269140Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9269215Z Traceback (most recent call last): 2025-12-04T09:30:18.9269435Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9269534Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9269717Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9269802Z raise self.failureException(msg) 2025-12-04T09:30:18.9269879Z AssertionError: False is not true 2025-12-04T09:30:18.9269882Z 2025-12-04T09:30:18.9270007Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9270191Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9270194Z 2025-12-04T09:30:18.9270351Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9270520Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9270594Z Traceback (most recent call last): 2025-12-04T09:30:18.9270811Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9270907Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9271087Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9271163Z raise self.failureException(msg) 2025-12-04T09:30:18.9271241Z AssertionError: False is not true 2025-12-04T09:30:18.9271245Z 2025-12-04T09:30:18.9271366Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9271616Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9271619Z 2025-12-04T09:30:18.9271773Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9272002Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9272084Z Traceback (most recent call last): 2025-12-04T09:30:18.9272301Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9272399Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9272591Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9272674Z raise self.failureException(msg) 2025-12-04T09:30:18.9272755Z AssertionError: False is not true 2025-12-04T09:30:18.9272758Z 2025-12-04T09:30:18.9272880Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9273043Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9273049Z 2025-12-04T09:30:18.9273211Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9273371Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9273451Z Traceback (most recent call last): 2025-12-04T09:30:18.9273668Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9273758Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9273944Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9274023Z raise self.failureException(msg) 2025-12-04T09:30:18.9274098Z AssertionError: False is not true 2025-12-04T09:30:18.9274107Z 2025-12-04T09:30:18.9274231Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9274395Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9274403Z 2025-12-04T09:30:18.9274563Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9274725Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9274801Z Traceback (most recent call last): 2025-12-04T09:30:18.9275025Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9275116Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9275302Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9275391Z raise self.failureException(msg) 2025-12-04T09:30:18.9275468Z AssertionError: False is not true 2025-12-04T09:30:18.9275471Z 2025-12-04T09:30:18.9275602Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9275764Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9275770Z 2025-12-04T09:30:18.9275932Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9276099Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9276176Z Traceback (most recent call last): 2025-12-04T09:30:18.9276400Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9276491Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9276669Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9276754Z raise self.failureException(msg) 2025-12-04T09:30:18.9276827Z AssertionError: False is not true 2025-12-04T09:30:18.9276830Z 2025-12-04T09:30:18.9276963Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9277126Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9277186Z 2025-12-04T09:30:18.9277376Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9277543Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9277692Z Traceback (most recent call last): 2025-12-04T09:30:18.9277916Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9278012Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9278192Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9278277Z raise self.failureException(msg) 2025-12-04T09:30:18.9278352Z AssertionError: False is not true 2025-12-04T09:30:18.9278355Z 2025-12-04T09:30:18.9278478Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9278648Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9278651Z 2025-12-04T09:30:18.9278809Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9278980Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9279054Z Traceback (most recent call last): 2025-12-04T09:30:18.9279276Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9279384Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9279564Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9279643Z raise self.failureException(msg) 2025-12-04T09:30:18.9279723Z AssertionError: False is not true 2025-12-04T09:30:18.9279726Z 2025-12-04T09:30:18.9279854Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9280028Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9280032Z 2025-12-04T09:30:18.9280187Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9280350Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9280433Z Traceback (most recent call last): 2025-12-04T09:30:18.9280652Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9280763Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9280950Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9281027Z raise self.failureException(msg) 2025-12-04T09:30:18.9281110Z AssertionError: False is not true 2025-12-04T09:30:18.9281114Z 2025-12-04T09:30:18.9281240Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9281403Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9281406Z 2025-12-04T09:30:18.9281568Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9281732Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9281820Z Traceback (most recent call last): 2025-12-04T09:30:18.9282039Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9282131Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9282321Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9282401Z raise self.failureException(msg) 2025-12-04T09:30:18.9282475Z AssertionError: False is not true 2025-12-04T09:30:18.9282478Z 2025-12-04T09:30:18.9282611Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9282774Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9282779Z 2025-12-04T09:30:18.9282940Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9283182Z ______________ TestCudaMallocAsync.test_memory_snapshot_with_cpp _______________ 2025-12-04T09:30:18.9283257Z Traceback (most recent call last): 2025-12-04T09:30:18.9283560Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4131, in test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9283653Z self.assertTrue("::rand" in str(b["frames"])) 2025-12-04T09:30:18.9283841Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 687, in assertTrue 2025-12-04T09:30:18.9283918Z raise self.failureException(msg) 2025-12-04T09:30:18.9283996Z AssertionError: False is not true 2025-12-04T09:30:18.9283999Z 2025-12-04T09:30:18.9284126Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9284294Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9284297Z 2025-12-04T09:30:18.9284450Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9284919Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_expandable_segments/test_cuda_expandable_segments-ee10b3d6f67b701f.xml - 2025-12-04T09:30:18.9285026Z =========================== short test summary info ============================ 2025-12-04T09:30:18.9285480Z FAILED [0.2449s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmp4ks8h53d.pl' 2025-12-04T09:30:18.9285819Z FAILED [9.0340s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9285823Z 2025-12-04T09:30:18.9285955Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9286123Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9286127Z 2025-12-04T09:30:18.9286280Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9286609Z FAILED [0.0138s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9286615Z 2025-12-04T09:30:18.9286694Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9286780Z Absolute difference: 1019904 2025-12-04T09:30:18.9286860Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9286864Z 2025-12-04T09:30:18.9286988Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9287143Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9287147Z 2025-12-04T09:30:18.9287304Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9287629Z FAILED [0.0118s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9287638Z 2025-12-04T09:30:18.9287711Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9287786Z Absolute difference: 2039808 2025-12-04T09:30:18.9287871Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9287875Z 2025-12-04T09:30:18.9288009Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9288160Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9288164Z 2025-12-04T09:30:18.9288323Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9288639Z FAILED [0.0118s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9288643Z 2025-12-04T09:30:18.9288722Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9288793Z Absolute difference: 1019904 2025-12-04T09:30:18.9288870Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9288874Z 2025-12-04T09:30:18.9289007Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9289152Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9289250Z 2025-12-04T09:30:18.9289411Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9289789Z FAILED [0.0116s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9289793Z 2025-12-04T09:30:18.9289867Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9289945Z Absolute difference: 2039808 2025-12-04T09:30:18.9290020Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9290023Z 2025-12-04T09:30:18.9290152Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9290298Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9290302Z 2025-12-04T09:30:18.9290454Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9290773Z FAILED [0.0114s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9290780Z 2025-12-04T09:30:18.9290856Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9290940Z Absolute difference: 1019904 2025-12-04T09:30:18.9291027Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9291030Z 2025-12-04T09:30:18.9291155Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9291308Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9291311Z 2025-12-04T09:30:18.9291462Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9291774Z FAILED [0.0117s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9291783Z 2025-12-04T09:30:18.9291857Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9291929Z Absolute difference: 2039808 2025-12-04T09:30:18.9292011Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9292018Z 2025-12-04T09:30:18.9292141Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9292285Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9292288Z 2025-12-04T09:30:18.9292451Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9292764Z FAILED [0.0114s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9292767Z 2025-12-04T09:30:18.9292849Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9292932Z Absolute difference: 1019904 2025-12-04T09:30:18.9293011Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9293015Z 2025-12-04T09:30:18.9293146Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9293292Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9293298Z 2025-12-04T09:30:18.9293460Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9293773Z FAILED [0.0116s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9293779Z 2025-12-04T09:30:18.9293851Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9293928Z Absolute difference: 2039808 2025-12-04T09:30:18.9294008Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9294011Z 2025-12-04T09:30:18.9294138Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9294292Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9294295Z 2025-12-04T09:30:18.9294453Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9294776Z FAILED [0.0114s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9294856Z 2025-12-04T09:30:18.9294936Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9295008Z Absolute difference: 1019904 2025-12-04T09:30:18.9295094Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9295098Z 2025-12-04T09:30:18.9295290Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9295445Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9295449Z 2025-12-04T09:30:18.9295604Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9295925Z FAILED [0.0116s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9295929Z 2025-12-04T09:30:18.9296012Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9296083Z Absolute difference: 2039808 2025-12-04T09:30:18.9296166Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9296169Z 2025-12-04T09:30:18.9296299Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9296446Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9296450Z 2025-12-04T09:30:18.9296613Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9296930Z FAILED [0.0114s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9296934Z 2025-12-04T09:30:18.9297014Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9297086Z Absolute difference: 1019904 2025-12-04T09:30:18.9297166Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9297170Z 2025-12-04T09:30:18.9297302Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9297450Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9297453Z 2025-12-04T09:30:18.9297619Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9298058Z FAILED [0.0116s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9298063Z 2025-12-04T09:30:18.9298144Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9298225Z Absolute difference: 2039808 2025-12-04T09:30:18.9298299Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9298303Z 2025-12-04T09:30:18.9298427Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9298577Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9298580Z 2025-12-04T09:30:18.9298732Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9299055Z FAILED [0.0114s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9299059Z 2025-12-04T09:30:18.9299131Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9299205Z Absolute difference: 1019904 2025-12-04T09:30:18.9299292Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9299296Z 2025-12-04T09:30:18.9299425Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9299581Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9299584Z 2025-12-04T09:30:18.9299744Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9300062Z FAILED [0.0115s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9300065Z 2025-12-04T09:30:18.9300145Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9300216Z Absolute difference: 2039808 2025-12-04T09:30:18.9300296Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9300300Z 2025-12-04T09:30:18.9300426Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9300652Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9300656Z 2025-12-04T09:30:18.9300813Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9301194Z FAILED [0.0115s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9301198Z 2025-12-04T09:30:18.9301278Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9301347Z Absolute difference: 1019904 2025-12-04T09:30:18.9301424Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9301429Z 2025-12-04T09:30:18.9301560Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9301701Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9301705Z 2025-12-04T09:30:18.9301857Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9302176Z FAILED [0.0116s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9302183Z 2025-12-04T09:30:18.9302257Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9302339Z Absolute difference: 2039808 2025-12-04T09:30:18.9302421Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9302425Z 2025-12-04T09:30:18.9302549Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9302698Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9302701Z 2025-12-04T09:30:18.9302853Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9303173Z FAILED [0.0114s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9303177Z 2025-12-04T09:30:18.9303251Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9303322Z Absolute difference: 1019904 2025-12-04T09:30:18.9303406Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9303410Z 2025-12-04T09:30:18.9303534Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9303686Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9303689Z 2025-12-04T09:30:18.9303842Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9304156Z FAILED [0.0115s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9304159Z 2025-12-04T09:30:18.9304239Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9304310Z Absolute difference: 2039808 2025-12-04T09:30:18.9304385Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9304397Z 2025-12-04T09:30:18.9304522Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9304667Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9304673Z 2025-12-04T09:30:18.9304831Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9305148Z FAILED [0.0114s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9305152Z 2025-12-04T09:30:18.9305231Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9305302Z Absolute difference: 1019904 2025-12-04T09:30:18.9305377Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9305382Z 2025-12-04T09:30:18.9305512Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9305653Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9305657Z 2025-12-04T09:30:18.9305810Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9306133Z FAILED [0.0115s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9306217Z 2025-12-04T09:30:18.9306297Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9306374Z Absolute difference: 2039808 2025-12-04T09:30:18.9306449Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9306517Z 2025-12-04T09:30:18.9306646Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9306800Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9306804Z 2025-12-04T09:30:18.9306956Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9307278Z FAILED [0.0114s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9307283Z 2025-12-04T09:30:18.9307356Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9307426Z Absolute difference: 1019904 2025-12-04T09:30:18.9307507Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9307513Z 2025-12-04T09:30:18.9307649Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9307801Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9307804Z 2025-12-04T09:30:18.9307960Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9308272Z FAILED [0.0116s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9308276Z 2025-12-04T09:30:18.9308358Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9308434Z Absolute difference: 2039808 2025-12-04T09:30:18.9308509Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9308518Z 2025-12-04T09:30:18.9308643Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9308793Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9308796Z 2025-12-04T09:30:18.9308954Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9309271Z FAILED [0.0114s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9309275Z 2025-12-04T09:30:18.9309350Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9309440Z Absolute difference: 1019904 2025-12-04T09:30:18.9309521Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9309525Z 2025-12-04T09:30:18.9309659Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9309802Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9309806Z 2025-12-04T09:30:18.9309959Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9310280Z FAILED [0.0116s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9310283Z 2025-12-04T09:30:18.9310361Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9310443Z Absolute difference: 2039808 2025-12-04T09:30:18.9310518Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9310520Z 2025-12-04T09:30:18.9310648Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9310801Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9310804Z 2025-12-04T09:30:18.9310953Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9311270Z FAILED [0.0123s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9311273Z 2025-12-04T09:30:18.9311347Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9311416Z Absolute difference: 1019904 2025-12-04T09:30:18.9311499Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9311502Z 2025-12-04T09:30:18.9311626Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9311865Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9311873Z 2025-12-04T09:30:18.9312362Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9312848Z FAILED [0.0121s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9312853Z 2025-12-04T09:30:18.9312945Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9313019Z Absolute difference: 2039808 2025-12-04T09:30:18.9313099Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9313102Z 2025-12-04T09:30:18.9313238Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9313388Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9313391Z 2025-12-04T09:30:18.9313553Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9313876Z FAILED [0.0116s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9313880Z 2025-12-04T09:30:18.9313954Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9314035Z Absolute difference: 1019904 2025-12-04T09:30:18.9314112Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9314116Z 2025-12-04T09:30:18.9314264Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9314410Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9314413Z 2025-12-04T09:30:18.9314565Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9314884Z FAILED [0.0117s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9314887Z 2025-12-04T09:30:18.9314962Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9315041Z Absolute difference: 2039808 2025-12-04T09:30:18.9315118Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9315122Z 2025-12-04T09:30:18.9315245Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9315400Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9315403Z 2025-12-04T09:30:18.9315555Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9315871Z FAILED [0.0115s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9315875Z 2025-12-04T09:30:18.9315949Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9316020Z Absolute difference: 1019904 2025-12-04T09:30:18.9316104Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9316107Z 2025-12-04T09:30:18.9316231Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9316380Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9316390Z 2025-12-04T09:30:18.9316544Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9316863Z FAILED [0.0118s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9316866Z 2025-12-04T09:30:18.9316947Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9317019Z Absolute difference: 2039808 2025-12-04T09:30:18.9317096Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9317099Z 2025-12-04T09:30:18.9317233Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9317377Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9317380Z 2025-12-04T09:30:18.9317540Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9317865Z FAILED [0.0117s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9317994Z 2025-12-04T09:30:18.9318073Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9318153Z Absolute difference: 1019904 2025-12-04T09:30:18.9318296Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9318301Z 2025-12-04T09:30:18.9318435Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9318586Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9318589Z 2025-12-04T09:30:18.9318758Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9319089Z FAILED [0.0120s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9319093Z 2025-12-04T09:30:18.9319168Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9319246Z Absolute difference: 2039808 2025-12-04T09:30:18.9319324Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9319329Z 2025-12-04T09:30:18.9319453Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9319604Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9319610Z 2025-12-04T09:30:18.9319762Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9320079Z FAILED [0.0130s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9320089Z 2025-12-04T09:30:18.9320162Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9320235Z Absolute difference: 1019904 2025-12-04T09:30:18.9320318Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9320322Z 2025-12-04T09:30:18.9320445Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9320591Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9320596Z 2025-12-04T09:30:18.9320758Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9321071Z FAILED [0.0138s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9321077Z 2025-12-04T09:30:18.9321160Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9321231Z Absolute difference: 2039808 2025-12-04T09:30:18.9321308Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9321311Z 2025-12-04T09:30:18.9321442Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9321584Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9321588Z 2025-12-04T09:30:18.9321744Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9322058Z FAILED [0.0126s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9322064Z 2025-12-04T09:30:18.9322138Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9322217Z Absolute difference: 1019904 2025-12-04T09:30:18.9322293Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9322298Z 2025-12-04T09:30:18.9322429Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9322579Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9322582Z 2025-12-04T09:30:18.9322737Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9323058Z FAILED [0.0130s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9323061Z 2025-12-04T09:30:18.9323137Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9323229Z Absolute difference: 2039808 2025-12-04T09:30:18.9323307Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9323355Z 2025-12-04T09:30:18.9323515Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9323668Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9323671Z 2025-12-04T09:30:18.9323888Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9324205Z FAILED [0.0135s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9324216Z 2025-12-04T09:30:18.9324291Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9324362Z Absolute difference: 1019904 2025-12-04T09:30:18.9324446Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9324450Z 2025-12-04T09:30:18.9324572Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9324716Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9324720Z 2025-12-04T09:30:18.9324881Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9325197Z FAILED [0.0127s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9325201Z 2025-12-04T09:30:18.9325283Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9325354Z Absolute difference: 2039808 2025-12-04T09:30:18.9325429Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9325433Z 2025-12-04T09:30:18.9325562Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9325707Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9325710Z 2025-12-04T09:30:18.9325870Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9326183Z FAILED [0.0120s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9326187Z 2025-12-04T09:30:18.9326259Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9326339Z Absolute difference: 1019904 2025-12-04T09:30:18.9326416Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9326420Z 2025-12-04T09:30:18.9326550Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9326700Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9326703Z 2025-12-04T09:30:18.9326855Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9327178Z FAILED [0.0121s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9327181Z 2025-12-04T09:30:18.9327265Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9327339Z Absolute difference: 2039808 2025-12-04T09:30:18.9327419Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9327422Z 2025-12-04T09:30:18.9327546Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9327700Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9327703Z 2025-12-04T09:30:18.9327854Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9328178Z FAILED [0.0118s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9328188Z 2025-12-04T09:30:18.9328260Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9328330Z Absolute difference: 1019904 2025-12-04T09:30:18.9328416Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9328419Z 2025-12-04T09:30:18.9328543Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9328684Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9328688Z 2025-12-04T09:30:18.9328843Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9329201Z FAILED [0.0119s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9329239Z 2025-12-04T09:30:18.9329318Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9329471Z Absolute difference: 2039808 2025-12-04T09:30:18.9329550Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9329554Z 2025-12-04T09:30:18.9329698Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9329842Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9329845Z 2025-12-04T09:30:18.9330001Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9330315Z FAILED [0.0117s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9330318Z 2025-12-04T09:30:18.9330392Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9330468Z Absolute difference: 1019904 2025-12-04T09:30:18.9330546Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9330550Z 2025-12-04T09:30:18.9330672Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9330826Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9330829Z 2025-12-04T09:30:18.9330981Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9331299Z FAILED [0.0119s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9331303Z 2025-12-04T09:30:18.9331376Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9331446Z Absolute difference: 2039808 2025-12-04T09:30:18.9331529Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9331532Z 2025-12-04T09:30:18.9331658Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9331811Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9331817Z 2025-12-04T09:30:18.9331969Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9332285Z FAILED [0.0116s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9332290Z 2025-12-04T09:30:18.9332370Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9332451Z Absolute difference: 1019904 2025-12-04T09:30:18.9332534Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9332538Z 2025-12-04T09:30:18.9332662Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9332805Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9332809Z 2025-12-04T09:30:18.9332969Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9333283Z FAILED [0.0118s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9333290Z 2025-12-04T09:30:18.9333373Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9333443Z Absolute difference: 2039808 2025-12-04T09:30:18.9333522Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9333526Z 2025-12-04T09:30:18.9333657Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9333802Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9333805Z 2025-12-04T09:30:18.9333961Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9334296Z FAILED [0.0115s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9334299Z 2025-12-04T09:30:18.9334374Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9334451Z Absolute difference: 1019904 2025-12-04T09:30:18.9334527Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9334604Z 2025-12-04T09:30:18.9334733Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9334893Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9334897Z 2025-12-04T09:30:18.9335128Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9335458Z FAILED [0.0118s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9335461Z 2025-12-04T09:30:18.9335537Z Expected 12918964736 but got 12921004544. 2025-12-04T09:30:18.9335609Z Absolute difference: 2039808 2025-12-04T09:30:18.9335695Z Relative difference: 0.000157892527898607 2025-12-04T09:30:18.9335698Z 2025-12-04T09:30:18.9335823Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9335978Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9335982Z 2025-12-04T09:30:18.9336141Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9336458Z FAILED [0.0115s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot - AssertionError: Scalars are not equal! 2025-12-04T09:30:18.9336466Z 2025-12-04T09:30:18.9336546Z Expected 12918964736 but got 12919984640. 2025-12-04T09:30:18.9336623Z Absolute difference: 1019904 2025-12-04T09:30:18.9336706Z Relative difference: 7.89462639493035e-05 2025-12-04T09:30:18.9336709Z 2025-12-04T09:30:18.9336833Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9336975Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot 2025-12-04T09:30:18.9336979Z 2025-12-04T09:30:18.9337141Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9337471Z FAILED [0.0014s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9337476Z 2025-12-04T09:30:18.9337609Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9337783Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9337787Z 2025-12-04T09:30:18.9338035Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9338386Z FAILED [0.0011s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9338390Z 2025-12-04T09:30:18.9338517Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9338694Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9338697Z 2025-12-04T09:30:18.9338851Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9339176Z FAILED [0.0011s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9339183Z 2025-12-04T09:30:18.9339313Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9339478Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9339484Z 2025-12-04T09:30:18.9339646Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9339970Z FAILED [0.0014s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9339974Z 2025-12-04T09:30:18.9340096Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9340266Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9340269Z 2025-12-04T09:30:18.9340423Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9340751Z FAILED [0.0010s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9340860Z 2025-12-04T09:30:18.9340986Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9341218Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9341222Z 2025-12-04T09:30:18.9341379Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9341703Z FAILED [0.0012s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9341708Z 2025-12-04T09:30:18.9341837Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9342001Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9342004Z 2025-12-04T09:30:18.9342157Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9342488Z FAILED [0.0011s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9342494Z 2025-12-04T09:30:18.9342618Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9342791Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9342795Z 2025-12-04T09:30:18.9342947Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9343274Z FAILED [0.0014s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9343282Z 2025-12-04T09:30:18.9343406Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9343568Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9343571Z 2025-12-04T09:30:18.9343730Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9344055Z FAILED [0.0010s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9344060Z 2025-12-04T09:30:18.9344188Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9344357Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9344360Z 2025-12-04T09:30:18.9344512Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9344844Z FAILED [0.0012s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9344847Z 2025-12-04T09:30:18.9344972Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9345149Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9345154Z 2025-12-04T09:30:18.9345312Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9345641Z FAILED [0.0010s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9345644Z 2025-12-04T09:30:18.9345782Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9345948Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9345951Z 2025-12-04T09:30:18.9346110Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9346435Z FAILED [0.0013s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9346438Z 2025-12-04T09:30:18.9346562Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9346734Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9346736Z 2025-12-04T09:30:18.9346889Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9347294Z FAILED [0.0010s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9347297Z 2025-12-04T09:30:18.9347489Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9347656Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9347659Z 2025-12-04T09:30:18.9347821Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9348140Z FAILED [0.0012s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9348145Z 2025-12-04T09:30:18.9348282Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9348446Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9348449Z 2025-12-04T09:30:18.9348605Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9348935Z FAILED [0.0011s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9348941Z 2025-12-04T09:30:18.9349065Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9349236Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9349239Z 2025-12-04T09:30:18.9349393Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9349719Z FAILED [0.0013s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9349729Z 2025-12-04T09:30:18.9349853Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9350017Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9350023Z 2025-12-04T09:30:18.9350186Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9350513Z FAILED [0.0010s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9350517Z 2025-12-04T09:30:18.9350649Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9350815Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9350818Z 2025-12-04T09:30:18.9350971Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9351314Z FAILED [0.0011s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9351318Z 2025-12-04T09:30:18.9351443Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9351613Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9351619Z 2025-12-04T09:30:18.9351772Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9352102Z FAILED [0.0010s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9352106Z 2025-12-04T09:30:18.9352240Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9352405Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9352409Z 2025-12-04T09:30:18.9352569Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9352893Z FAILED [0.0013s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9352897Z 2025-12-04T09:30:18.9353021Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9353235Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9353272Z 2025-12-04T09:30:18.9353425Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9353841Z FAILED [0.0010s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9353844Z 2025-12-04T09:30:18.9353970Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9354135Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9354138Z 2025-12-04T09:30:18.9354298Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9354635Z FAILED [0.0013s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9354638Z 2025-12-04T09:30:18.9354771Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9354941Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9354944Z 2025-12-04T09:30:18.9355098Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9355429Z FAILED [0.0011s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9355432Z 2025-12-04T09:30:18.9355554Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9355725Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9355728Z 2025-12-04T09:30:18.9355881Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9356215Z FAILED [0.0015s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9356218Z 2025-12-04T09:30:18.9356342Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9356510Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9356513Z 2025-12-04T09:30:18.9356676Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9357009Z FAILED [0.0011s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9357012Z 2025-12-04T09:30:18.9357145Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9357309Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9357312Z 2025-12-04T09:30:18.9357465Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9357795Z FAILED [0.0012s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9357800Z 2025-12-04T09:30:18.9357924Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9358094Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9358097Z 2025-12-04T09:30:18.9358253Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9358574Z FAILED [0.0011s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9358578Z 2025-12-04T09:30:18.9358707Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9358873Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9358876Z 2025-12-04T09:30:18.9359032Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9359355Z FAILED [0.0014s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9359431Z 2025-12-04T09:30:18.9359555Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9359736Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9359740Z 2025-12-04T09:30:18.9359957Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9360288Z FAILED [0.0010s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9360291Z 2025-12-04T09:30:18.9360413Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9360576Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9360579Z 2025-12-04T09:30:18.9360737Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9361059Z FAILED [0.0012s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9361067Z 2025-12-04T09:30:18.9361195Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9361360Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9361367Z 2025-12-04T09:30:18.9361518Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9361849Z FAILED [0.0015s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9361852Z 2025-12-04T09:30:18.9361983Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9362154Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9362157Z 2025-12-04T09:30:18.9362309Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9362636Z FAILED [0.0011s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9362643Z 2025-12-04T09:30:18.9362767Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9362933Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9362936Z 2025-12-04T09:30:18.9363095Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9363417Z FAILED [0.0011s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9363421Z 2025-12-04T09:30:18.9363550Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9363711Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9363715Z 2025-12-04T09:30:18.9363866Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9364196Z FAILED [0.0011s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9364201Z 2025-12-04T09:30:18.9364323Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9364498Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9364501Z 2025-12-04T09:30:18.9364654Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9364977Z FAILED [0.0013s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9364981Z 2025-12-04T09:30:18.9365110Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9365274Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9365277Z 2025-12-04T09:30:18.9365434Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9365833Z FAILED [0.0010s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9365836Z 2025-12-04T09:30:18.9366495Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9366680Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9366683Z 2025-12-04T09:30:18.9366837Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9367169Z FAILED [0.0010s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9367172Z 2025-12-04T09:30:18.9367294Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9367461Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9367471Z 2025-12-04T09:30:18.9367621Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9367948Z FAILED [0.0011s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9367952Z 2025-12-04T09:30:18.9368083Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9368248Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9368251Z 2025-12-04T09:30:18.9368404Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9368735Z FAILED [0.0012s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9368738Z 2025-12-04T09:30:18.9368861Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9369035Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9369039Z 2025-12-04T09:30:18.9369194Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9369526Z FAILED [0.0010s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9369529Z 2025-12-04T09:30:18.9369656Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9369820Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9369823Z 2025-12-04T09:30:18.9369982Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9370306Z FAILED [0.0010s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9370309Z 2025-12-04T09:30:18.9370439Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9370603Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9370609Z 2025-12-04T09:30:18.9370760Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9371099Z FAILED [0.0010s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9371104Z 2025-12-04T09:30:18.9371236Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9380749Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9380767Z 2025-12-04T09:30:18.9380987Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9381356Z FAILED [0.0012s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9381360Z 2025-12-04T09:30:18.9381512Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9381699Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9381850Z 2025-12-04T09:30:18.9382032Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9382453Z FAILED [0.0010s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9382458Z 2025-12-04T09:30:18.9382594Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9382777Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9382780Z 2025-12-04T09:30:18.9382938Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9383274Z FAILED [0.0010s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9383277Z 2025-12-04T09:30:18.9383404Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9383569Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9383576Z 2025-12-04T09:30:18.9383739Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9384071Z FAILED [0.0011s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9384075Z 2025-12-04T09:30:18.9384207Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9384372Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9384375Z 2025-12-04T09:30:18.9384528Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9384859Z FAILED [0.0012s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9384862Z 2025-12-04T09:30:18.9384986Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9385161Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9385165Z 2025-12-04T09:30:18.9385318Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9385644Z FAILED [0.0010s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9385653Z 2025-12-04T09:30:18.9385777Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9385941Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9385945Z 2025-12-04T09:30:18.9386104Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9386427Z FAILED [0.0010s] test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp - AssertionError: False is not true 2025-12-04T09:30:18.9386431Z 2025-12-04T09:30:18.9386562Z To execute this test, run the following from the base repo dir: 2025-12-04T09:30:18.9386728Z python test/test_cuda.py TestCudaMallocAsync.test_memory_snapshot_with_cpp 2025-12-04T09:30:18.9386731Z 2025-12-04T09:30:18.9386887Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:30:18.9387046Z ======== 100 failed, 50 passed, 100 skipped, 1150 deselected in 10.56s ========= 2025-12-04T09:30:18.9387049Z 2025-12-04T09:30:18.9387400Z FINISHED PRINTING LOG FILE of test_cuda_expandable_segments 1/1 (test/test-reports/test_cuda_expandable_segments_1.1_850ec48e0cc7d590_.log) 2025-12-04T09:30:18.9387404Z 2025-12-04T09:30:18.9387630Z Finished test_cuda_expandable_segments 1/1 ... [2025-12-04 09:30:18.859184][2265.277982378], took 0.26min 2025-12-04T09:30:18.9388012Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-62a40edf9808e1a5.xml 2025-12-04T09:30:18.9409094Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_expandable_segments/test_cuda_expandable_segments-ee10b3d6f67b701f.xml 2025-12-04T09:30:18.9672807Z 2025-12-04T09:30:18.9674155Z test_decomp 19/22 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_19.22_f02b34cb890561c7_.log 2025-12-04T09:30:18.9674310Z Running 0 items in this shard: 2025-12-04T09:30:18.9674319Z 2025-12-04T09:30:18.9674604Z Finished test_decomp 19/22 ... [2025-12-04 09:30:18.967170][2265.385968456], took 0.29min 2025-12-04T09:30:20.5181782Z Uploading logs for 57116084932 to S3 2025-12-04T09:30:20.5731334Z Uploading artifacts took 1.56 seconds 2025-12-04T09:30:20.5731746Z test_cuda_expandable_segments 1/1 failed! 2025-12-04T09:30:22.5730050Z Running test_public_bindings 1/1 ... [2025-12-04 09:30:22.572537][2268.99133356] 2025-12-04T09:30:22.5730678Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:30:22.5732123Z 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 09:30:22.572945] 2025-12-04T09:30:22.6450292Z Running test_ops 1/9 ... [2025-12-04 09:30:22.644608][2269.063404943] 2025-12-04T09:30:22.6450714Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:30:22.6453201Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=9', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:22.645015] 2025-12-04T09:30:25.8487981Z 2025-12-04T09:30:25.8488901Z test_public_bindings 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_public_bindings_1.1_15f60eb287ee4a41_.log 2025-12-04T09:30:25.8489515Z Running 0 items in this shard: 2025-12-04T09:30:25.8489702Z 2025-12-04T09:30:25.8489919Z Finished test_public_bindings 1/1 ... [2025-12-04 09:30:25.848666][2272.267465984], took 0.05min 2025-12-04T09:30:25.8570781Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_public_bindings/test_public_bindings-58defc6bfc353952.xml 2025-12-04T09:30:29.3719337Z Running test_ops 7/9 ... [2025-12-04 09:30:29.371493][2275.790290667] 2025-12-04T09:30:29.3719793Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:30:29.3722499Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=7', '--num-shards=9', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:30:29.371940] 2025-12-04T09:31:17.4549275Z 2025-12-04T09:31:17.4550337Z test_ops 1/9 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_1.9_5ce633b78749a835_.log 2025-12-04T09:31:17.4564697Z Running 50 items in this shard: test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64 2025-12-04T09:31:17.4577348Z 2025-12-04T09:31:17.4577528Z Finished test_ops 1/9 ... [2025-12-04 09:31:17.454810][2323.873610258], took 0.91min 2025-12-04T09:31:17.4636986Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-354044f1fe156118.xml 2025-12-04T09:31:20.8763925Z Running test_ops 9/9 ... [2025-12-04 09:31:20.875916][2327.294712755] 2025-12-04T09:31:20.8764789Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:20.8766378Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=9', '--num-shards=9', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:20.876306] 2025-12-04T09:31:47.6715301Z 2025-12-04T09:31:47.6716165Z PRINTING LOG FILE of test_ops 7/9 (test/test-reports/test_ops_7.9_ac3f8ab0154dea2c_.log) 2025-12-04T09:31:47.6716880Z Test results will be stored in test-reports/python-pytest/test_ops/test_ops-2bf5d76d17fcb980.xml 2025-12-04T09:31:47.6717426Z ============================= test session starts ============================== 2025-12-04T09:31:47.6717955Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T09:31:47.6718409Z cachedir: .pytest_cache 2025-12-04T09:31:47.6718946Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T09:31:47.6719553Z rootdir: /var/lib/jenkins/workspace 2025-12-04T09:31:47.6719782Z configfile: pytest.ini 2025-12-04T09:31:47.6720244Z 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 2025-12-04T09:31:47.6720728Z collecting ... collected 33666 items 2025-12-04T09:31:47.6720999Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T09:31:47.6736489Z Running 50 items in this shard: test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 2025-12-04T09:31:47.6751241Z 2025-12-04T09:31:47.6751569Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 FAILED [0.4436s] [ 2%] 2025-12-04T09:31:47.6752240Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.5054s] [ 2%] 2025-12-04T09:31:47.6752905Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4676s] [ 2%] 2025-12-04T09:31:47.6753564Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4657s] [ 2%] 2025-12-04T09:31:47.6754210Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4631s] [ 2%] 2025-12-04T09:31:47.6754849Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4619s] [ 2%] 2025-12-04T09:31:47.6755497Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4910s] [ 2%] 2025-12-04T09:31:47.6756239Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4577s] [ 2%] 2025-12-04T09:31:47.6756966Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4566s] [ 2%] 2025-12-04T09:31:47.6757618Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4587s] [ 2%] 2025-12-04T09:31:47.6758257Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4624s] [ 2%] 2025-12-04T09:31:47.6758903Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4926s] [ 2%] 2025-12-04T09:31:47.6759547Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4579s] [ 2%] 2025-12-04T09:31:47.6760198Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4608s] [ 2%] 2025-12-04T09:31:47.6760842Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4598s] [ 2%] 2025-12-04T09:31:47.6761504Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4591s] [ 2%] 2025-12-04T09:31:47.6762148Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4576s] [ 2%] 2025-12-04T09:31:47.6762792Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4601s] [ 2%] 2025-12-04T09:31:47.6763430Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4631s] [ 2%] 2025-12-04T09:31:47.6764083Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4562s] [ 2%] 2025-12-04T09:31:47.6764736Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4676s] [ 2%] 2025-12-04T09:31:47.6765384Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4599s] [ 2%] 2025-12-04T09:31:47.6766029Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4568s] [ 2%] 2025-12-04T09:31:47.6766672Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4591s] [ 2%] 2025-12-04T09:31:47.6767318Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4555s] [ 2%] 2025-12-04T09:31:47.6767973Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4597s] [ 2%] 2025-12-04T09:31:47.6768614Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4641s] [ 2%] 2025-12-04T09:31:47.6769276Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4560s] [ 2%] 2025-12-04T09:31:47.6769929Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4734s] [ 2%] 2025-12-04T09:31:47.6770588Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4638s] [ 2%] 2025-12-04T09:31:47.6771245Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4670s] [ 2%] 2025-12-04T09:31:47.6771891Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4756s] [ 2%] 2025-12-04T09:31:47.6772532Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4612s] [ 2%] 2025-12-04T09:31:47.6773261Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4554s] [ 2%] 2025-12-04T09:31:47.6773977Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4683s] [ 2%] 2025-12-04T09:31:47.6774630Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4675s] [ 2%] 2025-12-04T09:31:47.6775277Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4588s] [ 2%] 2025-12-04T09:31:47.6775930Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4558s] [ 2%] 2025-12-04T09:31:47.6776571Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4786s] [ 2%] 2025-12-04T09:31:47.6777218Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4743s] [ 2%] 2025-12-04T09:31:47.6777870Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4620s] [ 2%] 2025-12-04T09:31:47.6778617Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4549s] [ 2%] 2025-12-04T09:31:47.6779270Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4568s] [ 2%] 2025-12-04T09:31:47.6779929Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4708s] [ 2%] 2025-12-04T09:31:47.6780572Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4772s] [ 2%] 2025-12-04T09:31:47.6781219Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4566s] [ 2%] 2025-12-04T09:31:47.6781865Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4572s] [ 2%] 2025-12-04T09:31:47.6782522Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4571s] [ 2%] 2025-12-04T09:31:47.6783165Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4671s] [ 2%] 2025-12-04T09:31:47.6783812Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.4878s] [ 2%] 2025-12-04T09:31:47.6784169Z 2025-12-04T09:31:47.6784274Z =================================== FAILURES =================================== 2025-12-04T09:31:47.6784678Z _ TestFakeTensorCUDA.test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 _ 2025-12-04T09:31:47.6785056Z Traceback (most recent call last): 2025-12-04T09:31:47.6785560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper 2025-12-04T09:31:47.6786042Z return test(*args, **kwargs) 2025-12-04T09:31:47.6786488Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1435, in only_fn 2025-12-04T09:31:47.6786956Z return fn(slf, *args, **kwargs) 2025-12-04T09:31:47.6787339Z File "/var/lib/jenkins/workspace/test/test_ops.py", line 2973, in test_fake_crossref_backward_no_amp 2025-12-04T09:31:47.6787840Z self._test_fake_crossref_helper(device, dtype, op, contextlib.nullcontext) 2025-12-04T09:31:47.6788313Z File "/var/lib/jenkins/workspace/test/test_ops.py", line 2957, in _test_fake_crossref_helper 2025-12-04T09:31:47.6788706Z composite_compliance.compute_expected_grads( 2025-12-04T09:31:47.6789257Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/composite_compliance.py", line 431, in compute_expected_grads 2025-12-04T09:31:47.6789900Z results = gradcheck_wrapper(op, *args, **kwargs) 2025-12-04T09:31:47.6790373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py", line 831, in 2025-12-04T09:31:47.6791002Z gradcheck_wrapper: Callable = lambda op, *args, **kwargs: op(*args, **kwargs) 2025-12-04T09:31:47.6791555Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_utils.py", line 275, in __torch_dispatch__ 2025-12-04T09:31:47.6791998Z _check_alias_info( 2025-12-04T09:31:47.6792412Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_utils.py", line 57, in _check_alias_info 2025-12-04T09:31:47.6792857Z raise MetadataMismatchError( 2025-12-04T09:31:47.6793507Z torch._subclasses.fake_tensor.MetadataMismatchError: When comparing the output of aten.view.default on FakeTensor and concrete Tensors, found mismatch in outputs_alias_inputs check False != True 2025-12-04T09:31:47.6794102Z 2025-12-04T09:31:47.6794255Z The above exception was the direct cause of the following exception: 2025-12-04T09:31:47.6794474Z 2025-12-04T09:31:47.6794556Z Traceback (most recent call last): 2025-12-04T09:31:47.6795002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:31:47.6795445Z method(*args, **kwargs) 2025-12-04T09:31:47.6795860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T09:31:47.6796286Z method(*args, **kwargs) 2025-12-04T09:31:47.6796742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test 2025-12-04T09:31:47.6797239Z result = test(self, **param_kwargs) 2025-12-04T09:31:47.6797676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T09:31:47.6798105Z fn(*args, **kwargs) 2025-12-04T09:31:47.6798539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper 2025-12-04T09:31:47.6799029Z raise e_tracked from e 2025-12-04T09:31:47.6799523Z Exception: When comparing the output of aten.view.default on FakeTensor and concrete Tensors, found mismatch in outputs_alias_inputs check False != True 2025-12-04T09:31:47.6799969Z 2025-12-04T09:31:47.6800729Z Caused by sample input at index 5: SampleInput(input=Tensor[size=(0, 8), device="cuda:0", dtype=torch.float32], args=TensorList[Tensor[size=(0, 8), device="cuda:0", dtype=torch.float32], Tensor[size=(8, 8, 8), device="cuda:0", dtype=torch.float32], Tensor[size=(8,), device="cuda:0", dtype=torch.float32]], kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:31:47.6801730Z 2025-12-04T09:31:47.6801873Z To execute this test, run the following from the base repo dir: 2025-12-04T09:31:47.6802619Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=5 python test/test_ops.py TestFakeTensorCUDA.test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 2025-12-04T09:31:47.6803091Z 2025-12-04T09:31:47.6803263Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:31:47.6803852Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-2bf5d76d17fcb980.xml - 2025-12-04T09:31:47.6804371Z =========================== short test summary info ============================ 2025-12-04T09:31:47.6805275Z FAILED [0.4436s] test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 - Exception: When comparing the output of aten.view.default on FakeTensor and concrete Tensors, found mismatch in outputs_alias_inputs check False != True 2025-12-04T09:31:47.6806047Z 2025-12-04T09:31:47.6806815Z Caused by sample input at index 5: SampleInput(input=Tensor[size=(0, 8), device="cuda:0", dtype=torch.float32], args=TensorList[Tensor[size=(0, 8), device="cuda:0", dtype=torch.float32], Tensor[size=(8, 8, 8), device="cuda:0", dtype=torch.float32], Tensor[size=(8,), device="cuda:0", dtype=torch.float32]], kwargs={}, broadcasts_input=False, name='') 2025-12-04T09:31:47.6807757Z 2025-12-04T09:31:47.6807966Z To execute this test, run the following from the base repo dir: 2025-12-04T09:31:47.6808568Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=5 python test/test_ops.py TestFakeTensorCUDA.test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 2025-12-04T09:31:47.6809021Z 2025-12-04T09:31:47.6809192Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:31:47.6809552Z =================== 1 failed, 49 passed in 64.76s (0:01:04) ==================== 2025-12-04T09:31:47.6809752Z 2025-12-04T09:31:47.6809967Z FINISHED PRINTING LOG FILE of test_ops 7/9 (test/test-reports/test_ops_7.9_ac3f8ab0154dea2c_.log) 2025-12-04T09:31:47.6810255Z 2025-12-04T09:31:47.6810416Z Finished test_ops 7/9 ... [2025-12-04 09:31:47.671374][2354.090167313], took 1.30min 2025-12-04T09:31:47.6811015Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-2bf5d76d17fcb980.xml 2025-12-04T09:31:48.5487207Z Uploading logs for 57116084932 to S3 2025-12-04T09:31:48.6175173Z Uploading artifacts took 0.84 seconds 2025-12-04T09:31:51.1681403Z test_ops 7/9 failed! 2025-12-04T09:31:51.1681971Z Running inductor/test_torchinductor_dynamic_shapes 4/4 ... [2025-12-04 09:31:51.167663][2357.586459855] 2025-12-04T09:31:51.1682648Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:31:51.1684039Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '-m', 'not serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:31:51.168070] 2025-12-04T09:32:00.1203605Z 2025-12-04T09:32:00.1204783Z inductor/test_torchinductor_dynamic_shapes 4/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_4.4_6ffb90c0bb715b5e_.log 2025-12-04T09:32:00.1205717Z Running 0 items in this shard: 2025-12-04T09:32:00.1205916Z 2025-12-04T09:32:00.1206275Z Finished inductor/test_torchinductor_dynamic_shapes 4/4 ... [2025-12-04 09:32:00.120278][2366.53907731], took 0.15min 2025-12-04T09:32:00.1293209Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-dce4bc0707e4c54d.xml 2025-12-04T09:32:03.5576660Z Running inductor/test_torchinductor_codegen_dynamic_shapes 4/4 ... [2025-12-04 09:32:03.557193][2369.975990562] 2025-12-04T09:32:03.5577279Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:03.5580002Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_codegen_dynamic_shapes.py', '-m', 'not serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:03.557669] 2025-12-04T09:32:12.5671164Z 2025-12-04T09:32:12.5672649Z inductor/test_torchinductor_codegen_dynamic_shapes 4/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_dynamic_shapes_4.4_6ffae380b8d9b75d_.log 2025-12-04T09:32:12.5674166Z Running 0 items in this shard: 2025-12-04T09:32:12.5674457Z 2025-12-04T09:32:12.5675022Z Finished inductor/test_torchinductor_codegen_dynamic_shapes 4/4 ... [2025-12-04 09:32:12.566987][2378.985785406], took 0.15min 2025-12-04T09:32:12.5766174Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-fecd5a784f748803.xml 2025-12-04T09:32:12.6628686Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-988f307337389bf2.xml 2025-12-04T09:32:15.8520476Z 2025-12-04T09:32:15.8522263Z test_ops 9/9 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_9.9_86cdac5f30e2f491_.log 2025-12-04T09:32:15.8523313Z Running 0 items in this shard: 2025-12-04T09:32:15.8523626Z 2025-12-04T09:32:15.8523974Z Finished test_ops 9/9 ... [2025-12-04 09:32:15.851932][2382.270732444], took 0.92min 2025-12-04T09:32:16.2214602Z Running inductor/test_torchinductor_opinfo 2/13 ... [2025-12-04 09:32:16.220977][2382.639773177] 2025-12-04T09:32:16.2215302Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:16.2217307Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=2', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:16.221422] 2025-12-04T09:32:19.4459573Z Running inductor/test_torchinductor_opinfo 9/13 ... [2025-12-04 09:32:19.445474][2385.864270816] 2025-12-04T09:32:19.4460125Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:19.4462658Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=9', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:19.445953] 2025-12-04T09:32:29.3395593Z 2025-12-04T09:32:29.3396860Z inductor/test_torchinductor_opinfo 2/13 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_2.13_02caee1c64280619_.log 2025-12-04T09:32:29.3446688Z Running 150 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64 2025-12-04T09:32:29.3494941Z 2025-12-04T09:32:29.3495211Z Finished inductor/test_torchinductor_opinfo 2/13 ... [2025-12-04 09:32:29.339770][2395.758566091], took 0.22min 2025-12-04T09:32:29.3533221Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-0cad3772e8b22b07.xml 2025-12-04T09:32:32.3886417Z 2025-12-04T09:32:32.3887893Z inductor/test_torchinductor_opinfo 9/13 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_9.13_1fa8a6f8ab69d2a5_.log 2025-12-04T09:32:32.3923798Z Running 50 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16 2025-12-04T09:32:32.3957084Z 2025-12-04T09:32:32.3957568Z Finished inductor/test_torchinductor_opinfo 9/13 ... [2025-12-04 09:32:32.388604][2398.807403107], took 0.22min 2025-12-04T09:32:32.4004070Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-8572b50786409419.xml 2025-12-04T09:32:32.9588915Z Running inductor/test_torchinductor_opinfo 12/13 ... [2025-12-04 09:32:32.958484][2399.377280331] 2025-12-04T09:32:32.9589537Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:32.9591680Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=12', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:32.958896] 2025-12-04T09:32:35.9864996Z Running inductor/test_pattern_matcher 1/1 ... [2025-12-04 09:32:35.986047][2402.404844176] 2025-12-04T09:32:35.9865524Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:35.9868111Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_pattern_matcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:35.986476] 2025-12-04T09:32:42.5217498Z 2025-12-04T09:32:42.5218765Z inductor/test_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pattern_matcher_1.1_fce3957ad39c6347_.log 2025-12-04T09:32:42.5282519Z Running 250 items in this shard: test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_mixed_mm, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_mixed_mm_bad_cases, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_mixed_mm_epi_works, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_mixed_mm_exhaustive_dtypes, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_remove_noop_pass_with_remove_passes, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_mixed_mm, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_mixed_mm, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_mixed_mm, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_mixed_mm, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_mixed_mm, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_mixed_mm, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_mixed_mm, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_mixed_mm, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_mixed_mm, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_mixed_mm, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_mixed_mm, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_mixed_mm, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_mixed_mm, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_mixed_mm, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_mixed_mm, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_mixed_mm, 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test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_remove_noop_pass_with_remove_passes, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_remove_noop_pass_with_remove_passes, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_remove_noop_pass_with_remove_passes, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_remove_noop_pass_with_remove_passes, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_remove_noop_pass_with_remove_passes, test/inductor/test_pattern_matcher.py::TestPatternMatcher::test_remove_noop_pass_with_remove_passes 2025-12-04T09:32:42.5342044Z 2025-12-04T09:32:42.5342286Z Finished inductor/test_pattern_matcher 1/1 ... [2025-12-04 09:32:42.522222][2408.941020113], took 0.11min 2025-12-04T09:32:42.5343251Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_pattern_matcher/inductor.test_pattern_matcher-2f7b95d4cc8cb722.xml 2025-12-04T09:32:46.0515336Z 2025-12-04T09:32:46.0517063Z inductor/test_torchinductor_opinfo 12/13 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_12.13_b9a06fc07780aa48_.log 2025-12-04T09:32:46.0551232Z Running 100 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 2025-12-04T09:32:46.0583709Z 2025-12-04T09:32:46.0583963Z Finished inductor/test_torchinductor_opinfo 12/13 ... [2025-12-04 09:32:46.051591][2412.470387197], took 0.22min 2025-12-04T09:32:46.0615762Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-61abb659bfb83be4.xml 2025-12-04T09:32:46.1084471Z Running inductor/test_group_batch_fusion 1/1 ... [2025-12-04 09:32:46.108005][2412.5268011] 2025-12-04T09:32:46.1085291Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:46.1087613Z 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 09:32:46.108460] 2025-12-04T09:32:49.6545179Z Running inductor/test_cpu_repro 1/3 ... [2025-12-04 09:32:49.654071][2416.072868035] 2025-12-04T09:32:49.6545582Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:49.6547881Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_repro.py', '-m', 'not serial', '--shard-id=1', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:49.654510] 2025-12-04T09:32:52.2653827Z 2025-12-04T09:32:52.2654902Z 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_eb49e6a7520f7af2_.log 2025-12-04T09:32:52.2655790Z Running 0 items in this shard: 2025-12-04T09:32:52.2655976Z 2025-12-04T09:32:52.2656283Z Finished inductor/test_group_batch_fusion 1/1 ... [2025-12-04 09:32:52.265255][2418.684054848], took 0.10min 2025-12-04T09:32:52.2758148Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_group_batch_fusion/inductor.test_group_batch_fusion-dcc83042da7d8d64.xml 2025-12-04T09:32:55.8178886Z Running inductor/test_smoke 1/1 ... [2025-12-04 09:32:55.817426][2422.236223115] 2025-12-04T09:32:55.8179457Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:32:55.8181857Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_smoke.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:32:55.817851] 2025-12-04T09:32:57.2939138Z 2025-12-04T09:32:57.2940051Z inductor/test_cpu_repro 1/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_1.3_84761d7572e65265_.log 2025-12-04T09:32:57.2940677Z Running 0 items in this shard: 2025-12-04T09:32:57.2940825Z 2025-12-04T09:32:57.2941043Z Finished inductor/test_cpu_repro 1/3 ... [2025-12-04 09:32:57.293798][2423.712596593], took 0.13min 2025-12-04T09:32:57.3047737Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cpu_repro/inductor.test_cpu_repro-6e4e61d7887d3e1d.xml 2025-12-04T09:33:00.8873123Z Running inductor/test_mkldnn_pattern_matcher 2/2 ... [2025-12-04 09:33:00.886490][2427.305286882] 2025-12-04T09:33:00.8873723Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:00.8874949Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.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 09:33:00.886925] 2025-12-04T09:33:02.0136171Z 2025-12-04T09:33:02.0137127Z inductor/test_smoke 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_smoke_1.1_bd609395df751ff7_.log 2025-12-04T09:33:02.0137737Z 2025-12-04T09:33:02.0138007Z Finished inductor/test_smoke 1/1 ... [2025-12-04 09:33:02.013306][2428.432103559], took 0.10min 2025-12-04T09:33:02.0215668Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-11a42619c5bf211c.xml 2025-12-04T09:33:02.6528723Z 2025-12-04T09:33:02.6530322Z PRINTING LOG FILE of inductor/test_aot_inductor 2/4 (test/test-reports/inductor.test_aot_inductor_2.4_fc7e0e5318c160be_.log) 2025-12-04T09:33:02.6532472Z W1204 09:22:09.969000 8899 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T09:33:02.6533730Z Test results will be stored in test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-11a42619c5bf211c.xml 2025-12-04T09:33:02.6534672Z ============================= test session starts ============================== 2025-12-04T09:33:02.6535428Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T09:33:02.6536084Z cachedir: .pytest_cache 2025-12-04T09:33:02.6536865Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T09:33:02.6537657Z rootdir: /var/lib/jenkins/workspace 2025-12-04T09:33:02.6538015Z configfile: pytest.ini 2025-12-04T09:33:02.6538909Z 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 2025-12-04T09:33:02.6539637Z collecting ... collected 934 items 2025-12-04T09:33:02.6539912Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T09:33:02.6615343Z Running 150 items in this shard: test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda 2025-12-04T09:33:02.6683091Z 2025-12-04T09:33:02.6683907Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:22:11.988000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6684901Z W1204 09:22:11.989000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6685295Z PASSED [8.7795s] [ 0%] 2025-12-04T09:33:02.6685817Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [5.3464s] [ 1%] 2025-12-04T09:33:02.6686891Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py W1204 09:22:30.367000 8899 site-packages/torch/_export/__init__.py:71] +============================+ 2025-12-04T09:33:02.6687771Z W1204 09:22:30.367000 8899 site-packages/torch/_export/__init__.py:72] | !!! WARNING !!! | 2025-12-04T09:33:02.6688267Z W1204 09:22:30.367000 8899 site-packages/torch/_export/__init__.py:73] +============================+ 2025-12-04T09:33:02.6689268Z W1204 09:22:30.367000 8899 site-packages/torch/_export/__init__.py:74] torch._export.aot_compile()/torch._export.aot_load() is being deprecated, please switch to directly calling torch._inductor.aoti_compile_and_package(torch.export.export())/torch._inductor.aoti_load_package() instead. 2025-12-04T09:33:02.6690113Z PASSED [4.8557s] [ 2%] 2025-12-04T09:33:02.6690878Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:22:30.555000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6691818Z W1204 09:22:30.555000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6692184Z FAILED [4.2647s] [ 2%] 2025-12-04T09:33:02.6692927Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:22:34.795000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6693857Z W1204 09:22:34.795000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6694226Z PASSED [4.2440s] [ 2%] 2025-12-04T09:33:02.6694953Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:22:39.044000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6695871Z W1204 09:22:39.045000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6696235Z PASSED [4.2952s] [ 2%] 2025-12-04T09:33:02.6696963Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:22:43.337000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6697891Z W1204 09:22:43.338000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6698428Z PASSED [4.1638s] [ 2%] 2025-12-04T09:33:02.6699160Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:22:47.503000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6700082Z W1204 09:22:47.503000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6700441Z FAILED [4.2232s] [ 2%] 2025-12-04T09:33:02.6701163Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:22:51.728000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6702186Z W1204 09:22:51.729000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6702627Z FAILED [4.2064s] [ 2%] 2025-12-04T09:33:02.6703371Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:22:55.938000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6704295Z W1204 09:22:55.938000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6704655Z FAILED [4.1292s] [ 2%] 2025-12-04T09:33:02.6705384Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:23:00.066000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6706309Z W1204 09:23:00.066000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6706663Z PASSED [4.2343s] [ 2%] 2025-12-04T09:33:02.6707398Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:23:04.328000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6708318Z W1204 09:23:04.329000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6708681Z PASSED [4.1137s] [ 2%] 2025-12-04T09:33:02.6709405Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:23:08.418000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6710322Z W1204 09:23:08.419000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6710692Z FAILED [4.1164s] [ 2%] 2025-12-04T09:33:02.6711427Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:23:12.535000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6712692Z W1204 09:23:12.536000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6713061Z FAILED [4.1209s] [ 2%] 2025-12-04T09:33:02.6713804Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:23:16.663000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6714732Z W1204 09:23:16.663000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6715107Z FAILED [4.1212s] [ 2%] 2025-12-04T09:33:02.6715853Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:23:20.782000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6716773Z W1204 09:23:20.783000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6717135Z FAILED [4.1377s] [ 2%] 2025-12-04T09:33:02.6717860Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:23:24.920000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6718775Z W1204 09:23:24.921000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6719152Z FAILED [4.1285s] [ 2%] 2025-12-04T09:33:02.6719873Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:23:29.052000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6721086Z W1204 09:23:29.053000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6721460Z FAILED [4.1984s] [ 2%] 2025-12-04T09:33:02.6722189Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:23:33.256000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6723103Z W1204 09:23:33.257000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6723467Z FAILED [4.2288s] [ 2%] 2025-12-04T09:33:02.6724202Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:23:37.506000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6725142Z W1204 09:23:37.507000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6725504Z FAILED [4.1955s] [ 2%] 2025-12-04T09:33:02.6726240Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:23:41.678000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6727161Z W1204 09:23:41.679000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6727518Z FAILED [4.1725s] [ 2%] 2025-12-04T09:33:02.6728246Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:23:45.854000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6729167Z W1204 09:23:45.855000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6729532Z PASSED [4.1489s] [ 2%] 2025-12-04T09:33:02.6730263Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:23:50.004000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6731178Z W1204 09:23:50.004000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6731541Z FAILED [4.0774s] [ 2%] 2025-12-04T09:33:02.6732272Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:23:54.083000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6733192Z W1204 09:23:54.083000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6733551Z FAILED [4.2022s] [ 2%] 2025-12-04T09:33:02.6734282Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:23:58.289000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6735202Z W1204 09:23:58.290000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6735562Z FAILED [4.1240s] [ 2%] 2025-12-04T09:33:02.6736285Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:24:02.418000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6737202Z W1204 09:24:02.418000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6737562Z FAILED [4.1248s] [ 2%] 2025-12-04T09:33:02.6738578Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:24:06.551000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6739510Z W1204 09:24:06.552000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6739876Z FAILED [4.1616s] [ 2%] 2025-12-04T09:33:02.6740608Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:24:10.704000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6741525Z W1204 09:24:10.704000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6741894Z FAILED [4.0979s] [ 2%] 2025-12-04T09:33:02.6742623Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:24:14.806000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6743555Z W1204 09:24:14.807000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6743924Z FAILED [4.0635s] [ 2%] 2025-12-04T09:33:02.6744661Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:24:18.879000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6745576Z W1204 09:24:18.880000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6745941Z FAILED [4.0503s] [ 2%] 2025-12-04T09:33:02.6746671Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:24:22.921000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6747598Z W1204 09:24:22.921000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6747955Z FAILED [4.0537s] [ 2%] 2025-12-04T09:33:02.6748690Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:24:27.204000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6749610Z W1204 09:24:27.205000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6749985Z FAILED [4.2543s] [ 2%] 2025-12-04T09:33:02.6750712Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:24:31.233000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6751639Z W1204 09:24:31.233000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6752001Z FAILED [4.0728s] [ 2%] 2025-12-04T09:33:02.6752735Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:24:35.309000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6753647Z W1204 09:24:35.309000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6754013Z FAILED [4.0892s] [ 2%] 2025-12-04T09:33:02.6754752Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:24:39.399000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6755684Z W1204 09:24:39.399000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6756141Z FAILED [4.0516s] [ 2%] 2025-12-04T09:33:02.6756948Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:24:43.452000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6757880Z W1204 09:24:43.453000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6758249Z FAILED [4.0412s] [ 2%] 2025-12-04T09:33:02.6758979Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:24:47.496000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6759897Z W1204 09:24:47.496000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6760267Z FAILED [4.0453s] [ 2%] 2025-12-04T09:33:02.6760999Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:24:51.543000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6761913Z W1204 09:24:51.543000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6762275Z FAILED [4.0038s] [ 2%] 2025-12-04T09:33:02.6763001Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:24:55.549000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6763916Z W1204 09:24:55.549000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6764272Z FAILED [4.0187s] [ 2%] 2025-12-04T09:33:02.6765001Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:24:59.569000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6765929Z W1204 09:24:59.569000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6766296Z FAILED [4.0362s] [ 2%] 2025-12-04T09:33:02.6767029Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:25:03.606000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6767947Z W1204 09:25:03.606000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6768306Z FAILED [4.1027s] [ 2%] 2025-12-04T09:33:02.6769033Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:25:07.712000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6769957Z W1204 09:25:07.712000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6770312Z FAILED [4.0723s] [ 2%] 2025-12-04T09:33:02.6771043Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:25:11.786000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6771971Z W1204 09:25:11.786000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6772335Z FAILED [4.1046s] [ 2%] 2025-12-04T09:33:02.6773059Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:25:15.892000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6774034Z W1204 09:25:15.893000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6774435Z PASSED [4.0249s] [ 2%] 2025-12-04T09:33:02.6775225Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:25:19.925000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6776151Z W1204 09:25:19.925000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6776512Z FAILED [4.0343s] [ 2%] 2025-12-04T09:33:02.6777241Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:25:23.988000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6778256Z W1204 09:25:23.989000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6778621Z FAILED [4.0376s] [ 2%] 2025-12-04T09:33:02.6779355Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:25:27.993000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6780276Z W1204 09:25:27.994000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6780636Z FAILED [4.0512s] [ 2%] 2025-12-04T09:33:02.6781358Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:25:32.047000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6782283Z W1204 09:25:32.047000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6782649Z FAILED [4.0383s] [ 2%] 2025-12-04T09:33:02.6783383Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:25:36.088000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6784305Z W1204 09:25:36.088000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6784676Z FAILED [4.0507s] [ 2%] 2025-12-04T09:33:02.6785405Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:25:40.141000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6786325Z W1204 09:25:40.142000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6786684Z FAILED [4.0647s] [ 2%] 2025-12-04T09:33:02.6787418Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:25:44.208000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6788346Z W1204 09:25:44.208000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6788721Z FAILED [4.0170s] [ 2%] 2025-12-04T09:33:02.6789449Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda <- test/inductor/test_torchinductor.py W1204 09:25:48.244000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6790374Z W1204 09:25:48.245000 8899 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T09:33:02.6790736Z FAILED [4.0514s] [ 2%] 2025-12-04T09:33:02.6791235Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.4592s] [ 2%] 2025-12-04T09:33:02.6792138Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.4668s] [ 2%] 2025-12-04T09:33:02.6793093Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.4807s] [ 2%] 2025-12-04T09:33:02.6793966Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.4536s] [ 2%] 2025-12-04T09:33:02.6794821Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.3965s] [ 2%] 2025-12-04T09:33:02.6795665Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.4108s] [ 2%] 2025-12-04T09:33:02.6796515Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.4430s] [ 2%] 2025-12-04T09:33:02.6797372Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.4878s] [ 2%] 2025-12-04T09:33:02.6798226Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.4220s] [ 2%] 2025-12-04T09:33:02.6799075Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.5177s] [ 2%] 2025-12-04T09:33:02.6799921Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.5035s] [ 2%] 2025-12-04T09:33:02.6800768Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.5185s] [ 2%] 2025-12-04T09:33:02.6801616Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.4273s] [ 2%] 2025-12-04T09:33:02.6802472Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.4470s] [ 2%] 2025-12-04T09:33:02.6803318Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.2546s] [ 2%] 2025-12-04T09:33:02.6804177Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.2134s] [ 2%] 2025-12-04T09:33:02.6805030Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1471s] [ 2%] 2025-12-04T09:33:02.6805884Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.4111s] [ 2%] 2025-12-04T09:33:02.6806741Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1758s] [ 2%] 2025-12-04T09:33:02.6807592Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1313s] [ 2%] 2025-12-04T09:33:02.6808442Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1601s] [ 2%] 2025-12-04T09:33:02.6809301Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.2499s] [ 2%] 2025-12-04T09:33:02.6810155Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1541s] [ 2%] 2025-12-04T09:33:02.6811002Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.2088s] [ 2%] 2025-12-04T09:33:02.6812240Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1734s] [ 2%] 2025-12-04T09:33:02.6813284Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.2643s] [ 2%] 2025-12-04T09:33:02.6814161Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1587s] [ 2%] 2025-12-04T09:33:02.6815024Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1760s] [ 2%] 2025-12-04T09:33:02.6815875Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.2164s] [ 2%] 2025-12-04T09:33:02.6816734Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1773s] [ 2%] 2025-12-04T09:33:02.6817597Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1656s] [ 2%] 2025-12-04T09:33:02.6818546Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1851s] [ 2%] 2025-12-04T09:33:02.6819391Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1936s] [ 2%] 2025-12-04T09:33:02.6820241Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1913s] [ 2%] 2025-12-04T09:33:02.6821091Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1909s] [ 2%] 2025-12-04T09:33:02.6821947Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1866s] [ 2%] 2025-12-04T09:33:02.6822799Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1565s] [ 2%] 2025-12-04T09:33:02.6823646Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1844s] [ 2%] 2025-12-04T09:33:02.6824497Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1675s] [ 2%] 2025-12-04T09:33:02.6825348Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1468s] [ 2%] 2025-12-04T09:33:02.6826206Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.2057s] [ 2%] 2025-12-04T09:33:02.6827067Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1679s] [ 2%] 2025-12-04T09:33:02.6827922Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.2094s] [ 2%] 2025-12-04T09:33:02.6828788Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1694s] [ 2%] 2025-12-04T09:33:02.6829643Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1722s] [ 2%] 2025-12-04T09:33:02.6830488Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.2079s] [ 2%] 2025-12-04T09:33:02.6831456Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1814s] [ 2%] 2025-12-04T09:33:02.6832371Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.1858s] [ 2%] 2025-12-04T09:33:02.6833227Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeated_calling_cuda <- test/inductor/test_torchinductor.py PASSED [4.2467s] [ 2%] 2025-12-04T09:33:02.6834089Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.3018s] [ 2%] 2025-12-04T09:33:02.6834924Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.3316s] [ 2%] 2025-12-04T09:33:02.6835763Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.3846s] [ 2%] 2025-12-04T09:33:02.6836601Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.5603s] [ 2%] 2025-12-04T09:33:02.6837439Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.4265s] [ 2%] 2025-12-04T09:33:02.6838269Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.4734s] [ 2%] 2025-12-04T09:33:02.6839100Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.4271s] [ 2%] 2025-12-04T09:33:02.6839930Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.4513s] [ 2%] 2025-12-04T09:33:02.6840766Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.7356s] [ 2%] 2025-12-04T09:33:02.6841602Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.4986s] [ 2%] 2025-12-04T09:33:02.6842429Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.5126s] [ 2%] 2025-12-04T09:33:02.6843265Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.3025s] [ 2%] 2025-12-04T09:33:02.6844098Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.4892s] [ 2%] 2025-12-04T09:33:02.6844935Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.5932s] [ 2%] 2025-12-04T09:33:02.6845769Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.5434s] [ 2%] 2025-12-04T09:33:02.6846606Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.4440s] [ 2%] 2025-12-04T09:33:02.6847442Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.5171s] [ 2%] 2025-12-04T09:33:02.6848273Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.4684s] [ 2%] 2025-12-04T09:33:02.6849107Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.4821s] [ 2%] 2025-12-04T09:33:02.6849936Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.5556s] [ 2%] 2025-12-04T09:33:02.6850924Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.2834s] [ 2%] 2025-12-04T09:33:02.6851770Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.2608s] [ 2%] 2025-12-04T09:33:02.6852609Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.2804s] [ 2%] 2025-12-04T09:33:02.6853441Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.3068s] [ 2%] 2025-12-04T09:33:02.6854281Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.3152s] [ 2%] 2025-12-04T09:33:02.6855120Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.5332s] [ 2%] 2025-12-04T09:33:02.6855963Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.4692s] [ 2%] 2025-12-04T09:33:02.6856794Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.4491s] [ 2%] 2025-12-04T09:33:02.6857630Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.4603s] [ 2%] 2025-12-04T09:33:02.6858566Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.4148s] [ 2%] 2025-12-04T09:33:02.6859414Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.5040s] [ 2%] 2025-12-04T09:33:02.6860262Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.4963s] [ 2%] 2025-12-04T09:33:02.6880823Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.5733s] [ 2%] 2025-12-04T09:33:02.6881725Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.4454s] [ 2%] 2025-12-04T09:33:02.6882610Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.4301s] [ 2%] 2025-12-04T09:33:02.6883470Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.4465s] [ 2%] 2025-12-04T09:33:02.6884325Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.4375s] [ 2%] 2025-12-04T09:33:02.6885186Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.4232s] [ 2%] 2025-12-04T09:33:02.6886040Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.6250s] [ 2%] 2025-12-04T09:33:02.6886880Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.5542s] [ 2%] 2025-12-04T09:33:02.6887722Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.5752s] [ 2%] 2025-12-04T09:33:02.6888561Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.4714s] [ 2%] 2025-12-04T09:33:02.6889521Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.5466s] [ 2%] 2025-12-04T09:33:02.6890430Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.5686s] [ 2%] 2025-12-04T09:33:02.6891285Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.4199s] [ 2%] 2025-12-04T09:33:02.6892133Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.6015s] [ 2%] 2025-12-04T09:33:02.6892962Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.4843s] [ 2%] 2025-12-04T09:33:02.6893801Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.5984s] [ 2%] 2025-12-04T09:33:02.6894648Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_upper_bound_i64_cuda <- test/inductor/test_torchinductor.py PASSED [4.5144s] [ 2%] 2025-12-04T09:33:02.6895111Z 2025-12-04T09:33:02.6895223Z =================================== FAILURES =================================== 2025-12-04T09:33:02.6895609Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.6895964Z Traceback (most recent call last): 2025-12-04T09:33:02.6896363Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.6896760Z return value(self) 2025-12-04T09:33:02.6897179Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.6897649Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.6898210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.6898678Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.6899169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.6899690Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.6899989Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.6900153Z 2025-12-04T09:33:02.6900231Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.6900573Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.6901031Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.6901301Z 2025-12-04T09:33:02.6901447Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.6901952Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.6902338Z 2025-12-04T09:33:02.6902500Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.6902883Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6903166Z unimplemented [] 2025-12-04T09:33:02.6903370Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6903633Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6903834Z graph_break [] 2025-12-04T09:33:02.6904061Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6904768Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6905392Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6905663Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6906039Z unimplemented [] 2025-12-04T09:33:02.6906244Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6906495Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6906686Z graph_break [] 2025-12-04T09:33:02.6906980Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6907679Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6908293Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6908628Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.6908990Z Traceback (most recent call last): 2025-12-04T09:33:02.6909374Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.6909750Z return value(self) 2025-12-04T09:33:02.6910170Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.6910641Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.6911085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.6911540Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.6912383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.6912946Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.6913258Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.6913435Z 2025-12-04T09:33:02.6913513Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.6913846Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.6914307Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.6914584Z 2025-12-04T09:33:02.6914717Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.6915232Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.6915608Z 2025-12-04T09:33:02.6915778Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.6916157Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6916441Z unimplemented [] 2025-12-04T09:33:02.6916647Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6916890Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6917085Z graph_break [] 2025-12-04T09:33:02.6917326Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6918008Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6918634Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6918898Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6919184Z unimplemented [] 2025-12-04T09:33:02.6919378Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6919624Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6919823Z graph_break [] 2025-12-04T09:33:02.6920041Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6920716Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6921328Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6921592Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6921973Z unimplemented [] 2025-12-04T09:33:02.6922239Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6922484Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6922669Z graph_break [] 2025-12-04T09:33:02.6923000Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6923671Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6924291Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6924548Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6924821Z unimplemented [] 2025-12-04T09:33:02.6925025Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6925264Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6925453Z graph_break [] 2025-12-04T09:33:02.6925674Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6926351Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6926962Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6927217Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6927490Z unimplemented [] 2025-12-04T09:33:02.6927676Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6927916Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6928108Z graph_break [] 2025-12-04T09:33:02.6928323Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6928988Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6929605Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6929872Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6930141Z unimplemented [] 2025-12-04T09:33:02.6930334Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6930578Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6930762Z graph_break [] 2025-12-04T09:33:02.6930981Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6931647Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6932255Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6932578Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.6932933Z Traceback (most recent call last): 2025-12-04T09:33:02.6933314Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.6933692Z return value(self) 2025-12-04T09:33:02.6934099Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.6934575Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.6935021Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.6935468Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.6935962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.6936480Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.6936767Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.6936936Z 2025-12-04T09:33:02.6937015Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.6937347Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.6937916Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.6938292Z 2025-12-04T09:33:02.6938431Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.6939009Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.6939387Z 2025-12-04T09:33:02.6939558Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.6939934Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6940203Z unimplemented [] 2025-12-04T09:33:02.6940404Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6940654Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6940838Z graph_break [] 2025-12-04T09:33:02.6941066Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6941740Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6942358Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6942631Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6942906Z unimplemented [] 2025-12-04T09:33:02.6943098Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6943334Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6943524Z graph_break [] 2025-12-04T09:33:02.6943748Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6944410Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6945022Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6945284Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6945561Z unimplemented [] 2025-12-04T09:33:02.6945748Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6945988Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6946177Z graph_break [] 2025-12-04T09:33:02.6946398Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6947063Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6947671Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6947931Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6948199Z unimplemented [] 2025-12-04T09:33:02.6948392Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6948634Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6948816Z graph_break [] 2025-12-04T09:33:02.6949044Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6949715Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6950315Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6950572Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6950842Z unimplemented [] 2025-12-04T09:33:02.6951051Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6951290Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6951485Z graph_break [] 2025-12-04T09:33:02.6951705Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6952370Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6953073Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6953330Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6953610Z unimplemented [] 2025-12-04T09:33:02.6953863Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6954110Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6954307Z graph_break [] 2025-12-04T09:33:02.6954537Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6955213Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6955841Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6956114Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6956384Z unimplemented [] 2025-12-04T09:33:02.6956581Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6956835Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6957023Z graph_break [] 2025-12-04T09:33:02.6957246Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6957936Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6958548Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6958875Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.6959234Z Traceback (most recent call last): 2025-12-04T09:33:02.6959617Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.6959997Z return value(self) 2025-12-04T09:33:02.6960399Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.6960863Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.6961306Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.6961767Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.6962265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.6962792Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.6963091Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.6963251Z 2025-12-04T09:33:02.6963328Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.6963654Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.6964124Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.6964393Z 2025-12-04T09:33:02.6964526Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.6965038Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.6965419Z 2025-12-04T09:33:02.6965584Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.6965958Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6966231Z unimplemented [] 2025-12-04T09:33:02.6966437Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6966687Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6966879Z graph_break [] 2025-12-04T09:33:02.6967105Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6967786Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6968461Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6968755Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6969034Z unimplemented [] 2025-12-04T09:33:02.6969232Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6969537Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6969731Z graph_break [] 2025-12-04T09:33:02.6969958Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6970628Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6971233Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6971499Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6971773Z unimplemented [] 2025-12-04T09:33:02.6971964Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6972214Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6972422Z graph_break [] 2025-12-04T09:33:02.6972645Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6973322Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6973936Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6974201Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6974471Z unimplemented [] 2025-12-04T09:33:02.6974666Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6974914Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6975099Z graph_break [] 2025-12-04T09:33:02.6975323Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6975993Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6976605Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6976860Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6977142Z unimplemented [] 2025-12-04T09:33:02.6977338Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6977573Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6977763Z graph_break [] 2025-12-04T09:33:02.6977987Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6978801Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6979403Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6979667Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6979941Z unimplemented [] 2025-12-04T09:33:02.6980133Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6980376Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6980570Z graph_break [] 2025-12-04T09:33:02.6980793Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6981460Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6982078Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6982335Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6982603Z unimplemented [] 2025-12-04T09:33:02.6982799Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6983051Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6983236Z graph_break [] 2025-12-04T09:33:02.6983462Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6984217Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6984907Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6985168Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6985459Z unimplemented [] 2025-12-04T09:33:02.6985658Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6985894Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6986084Z graph_break [] 2025-12-04T09:33:02.6986308Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6986975Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6987581Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6987919Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.6988270Z Traceback (most recent call last): 2025-12-04T09:33:02.6988660Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.6989043Z return value(self) 2025-12-04T09:33:02.6989456Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.6989923Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.6990360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.6990812Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.6991303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.6991818Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.6992123Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.6992294Z 2025-12-04T09:33:02.6992371Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.6992726Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.6993182Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.6993466Z 2025-12-04T09:33:02.6993600Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.6994107Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.6994480Z 2025-12-04T09:33:02.6994647Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.6995014Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6995291Z unimplemented [] 2025-12-04T09:33:02.6995495Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6995741Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6995939Z graph_break [] 2025-12-04T09:33:02.6996166Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6996850Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.6997467Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.6997731Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.6998008Z unimplemented [] 2025-12-04T09:33:02.6998198Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.6998441Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.6998633Z graph_break [] 2025-12-04T09:33:02.6998856Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.6999593Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7000244Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7000567Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7000841Z unimplemented [] 2025-12-04T09:33:02.7001046Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7001292Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7001476Z graph_break [] 2025-12-04T09:33:02.7001699Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7002369Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7002979Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7003237Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7003518Z unimplemented [] 2025-12-04T09:33:02.7003713Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7003949Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7004148Z graph_break [] 2025-12-04T09:33:02.7004373Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7005042Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7005646Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7005904Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7006177Z unimplemented [] 2025-12-04T09:33:02.7006367Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7006612Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7006805Z graph_break [] 2025-12-04T09:33:02.7007030Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7007708Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7008316Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7008592Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7008862Z unimplemented [] 2025-12-04T09:33:02.7009059Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7009305Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7009491Z graph_break [] 2025-12-04T09:33:02.7009725Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7010389Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7011004Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7011257Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7011533Z unimplemented [] 2025-12-04T09:33:02.7011730Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7012245Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7012559Z graph_break [] 2025-12-04T09:33:02.7012795Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7013469Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7014073Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7014333Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7014603Z unimplemented [] 2025-12-04T09:33:02.7014794Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7015207Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7015398Z graph_break [] 2025-12-04T09:33:02.7015627Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7016407Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7017020Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7017290Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7017565Z unimplemented [] 2025-12-04T09:33:02.7017760Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7018003Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7018276Z graph_break [] 2025-12-04T09:33:02.7018501Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7019171Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7019783Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7020044Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7020320Z unimplemented [] 2025-12-04T09:33:02.7020514Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7020749Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7020943Z graph_break [] 2025-12-04T09:33:02.7021167Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7021824Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7022431Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7022701Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7022983Z unimplemented [] 2025-12-04T09:33:02.7023173Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7023417Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7023610Z graph_break [] 2025-12-04T09:33:02.7023836Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7024507Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7025112Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7025459Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7025811Z Traceback (most recent call last): 2025-12-04T09:33:02.7026200Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7026580Z return value(self) 2025-12-04T09:33:02.7026991Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7027450Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7027896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7028358Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7028852Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7029378Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7029680Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7029851Z 2025-12-04T09:33:02.7029943Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7030270Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7030726Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7031086Z 2025-12-04T09:33:02.7031224Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7031800Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7032179Z 2025-12-04T09:33:02.7032341Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7032716Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7032995Z unimplemented [] 2025-12-04T09:33:02.7033194Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7033446Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7033641Z graph_break [] 2025-12-04T09:33:02.7033861Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7034559Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7035184Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7035458Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7035732Z unimplemented [] 2025-12-04T09:33:02.7035934Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7036182Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7036369Z graph_break [] 2025-12-04T09:33:02.7036610Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7037286Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7037899Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7038167Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7038448Z unimplemented [] 2025-12-04T09:33:02.7038651Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7038889Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7039084Z graph_break [] 2025-12-04T09:33:02.7039314Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7039984Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7040591Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7040856Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7041138Z unimplemented [] 2025-12-04T09:33:02.7041328Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7041571Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7041765Z graph_break [] 2025-12-04T09:33:02.7041980Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7042670Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7043288Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7043553Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7043831Z unimplemented [] 2025-12-04T09:33:02.7044030Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7044280Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7044466Z graph_break [] 2025-12-04T09:33:02.7044693Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7045362Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7045973Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7046322Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7046606Z unimplemented [] 2025-12-04T09:33:02.7046799Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7047124Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7047318Z graph_break [] 2025-12-04T09:33:02.7047539Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7048210Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7048811Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7049084Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7049356Z unimplemented [] 2025-12-04T09:33:02.7049548Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7049793Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7049988Z graph_break [] 2025-12-04T09:33:02.7050207Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7050874Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7051483Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7051745Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7052017Z unimplemented [] 2025-12-04T09:33:02.7052215Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7052466Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7052656Z graph_break [] 2025-12-04T09:33:02.7052877Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7053550Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7054163Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7054417Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7054697Z unimplemented [] 2025-12-04T09:33:02.7054894Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7055132Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7055323Z graph_break [] 2025-12-04T09:33:02.7055550Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7056221Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7056828Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7057092Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7057373Z unimplemented [] 2025-12-04T09:33:02.7057564Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7057806Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7057999Z graph_break [] 2025-12-04T09:33:02.7058335Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7059016Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7059627Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7059894Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7060165Z unimplemented [] 2025-12-04T09:33:02.7060363Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7060612Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7060798Z graph_break [] 2025-12-04T09:33:02.7061025Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7061786Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7062463Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7062724Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7062999Z unimplemented [] 2025-12-04T09:33:02.7063195Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7063431Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7063621Z graph_break [] 2025-12-04T09:33:02.7063852Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7064515Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7065127Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7065461Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7065812Z Traceback (most recent call last): 2025-12-04T09:33:02.7066192Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7066576Z return value(self) 2025-12-04T09:33:02.7066984Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7067447Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7067875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7068326Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7068818Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7069335Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7069650Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7069823Z 2025-12-04T09:33:02.7069904Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7070239Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7070684Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7070959Z 2025-12-04T09:33:02.7071091Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7071599Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7071972Z 2025-12-04T09:33:02.7072141Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7072513Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7072793Z unimplemented [] 2025-12-04T09:33:02.7072998Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7073256Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7073456Z graph_break [] 2025-12-04T09:33:02.7073687Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7074372Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7074991Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7075257Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7075535Z unimplemented [] 2025-12-04T09:33:02.7075728Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7075976Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7076171Z graph_break [] 2025-12-04T09:33:02.7076396Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7077118Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7077768Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7078099Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7078379Z unimplemented [] 2025-12-04T09:33:02.7078578Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7078835Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7079024Z graph_break [] 2025-12-04T09:33:02.7079257Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7079931Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7080544Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7080798Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7081088Z unimplemented [] 2025-12-04T09:33:02.7081284Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7081520Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7081715Z graph_break [] 2025-12-04T09:33:02.7081933Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7082590Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7083200Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7083469Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7083742Z unimplemented [] 2025-12-04T09:33:02.7083930Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7084170Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7084359Z graph_break [] 2025-12-04T09:33:02.7084584Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7085253Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7085862Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7086124Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7086389Z unimplemented [] 2025-12-04T09:33:02.7086583Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7086826Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7087009Z graph_break [] 2025-12-04T09:33:02.7087230Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7087898Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7088511Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7088761Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7089034Z unimplemented [] 2025-12-04T09:33:02.7089234Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7089471Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7089663Z graph_break [] 2025-12-04T09:33:02.7089884Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7090542Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7091155Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7091415Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7091691Z unimplemented [] 2025-12-04T09:33:02.7091907Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7092235Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7092435Z graph_break [] 2025-12-04T09:33:02.7092654Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7093402Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7094028Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7094292Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7094561Z unimplemented [] 2025-12-04T09:33:02.7094759Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7095009Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7095200Z graph_break [] 2025-12-04T09:33:02.7095424Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7096087Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7096701Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7096960Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7097231Z unimplemented [] 2025-12-04T09:33:02.7097427Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7097664Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7097853Z graph_break [] 2025-12-04T09:33:02.7098189Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7098855Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7099462Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7099722Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7100003Z unimplemented [] 2025-12-04T09:33:02.7100191Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7100432Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7100622Z graph_break [] 2025-12-04T09:33:02.7100842Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7101510Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7102117Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7102376Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7102643Z unimplemented [] 2025-12-04T09:33:02.7102837Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7103081Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7103267Z graph_break [] 2025-12-04T09:33:02.7103493Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7104166Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7104776Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7105030Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7105306Z unimplemented [] 2025-12-04T09:33:02.7105503Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7105742Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7105938Z graph_break [] 2025-12-04T09:33:02.7106161Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7106821Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7107601Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7107932Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7108290Z Traceback (most recent call last): 2025-12-04T09:33:02.7108737Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7109124Z return value(self) 2025-12-04T09:33:02.7109536Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7109997Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7110438Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7110889Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7111384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7111901Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7112567Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7112737Z 2025-12-04T09:33:02.7112832Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7113166Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7113626Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7113898Z 2025-12-04T09:33:02.7114029Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7114535Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7114907Z 2025-12-04T09:33:02.7115067Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7115446Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7115733Z unimplemented [] 2025-12-04T09:33:02.7115935Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7116176Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7116371Z graph_break [] 2025-12-04T09:33:02.7116601Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7117275Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7117893Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7118155Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7118438Z unimplemented [] 2025-12-04T09:33:02.7118633Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7118890Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7119084Z graph_break [] 2025-12-04T09:33:02.7119304Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7119975Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7120590Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7120853Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7121119Z unimplemented [] 2025-12-04T09:33:02.7121316Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7121564Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7121753Z graph_break [] 2025-12-04T09:33:02.7121976Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7122643Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7123245Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7123670Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7123950Z unimplemented [] 2025-12-04T09:33:02.7125262Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7125635Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7125838Z graph_break [] 2025-12-04T09:33:02.7126064Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7126726Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7127340Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7127602Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7127894Z unimplemented [] 2025-12-04T09:33:02.7128087Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7128333Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7128535Z graph_break [] 2025-12-04T09:33:02.7128749Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7129420Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7130033Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7130296Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7130563Z unimplemented [] 2025-12-04T09:33:02.7130758Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7131000Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7131183Z graph_break [] 2025-12-04T09:33:02.7131404Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7132067Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7132677Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7132929Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7133204Z unimplemented [] 2025-12-04T09:33:02.7133399Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7133636Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7133838Z graph_break [] 2025-12-04T09:33:02.7134060Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7134718Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7135324Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7135583Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7135859Z unimplemented [] 2025-12-04T09:33:02.7136048Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7136289Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7136480Z graph_break [] 2025-12-04T09:33:02.7136703Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7137370Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7137976Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7138346Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7138616Z unimplemented [] 2025-12-04T09:33:02.7138817Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7139065Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7139251Z graph_break [] 2025-12-04T09:33:02.7139480Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7140259Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7140933Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7141205Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7141480Z unimplemented [] 2025-12-04T09:33:02.7141673Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7141910Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7142111Z graph_break [] 2025-12-04T09:33:02.7142336Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7142995Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7143607Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7143882Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7144156Z unimplemented [] 2025-12-04T09:33:02.7144345Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7144594Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7144786Z graph_break [] 2025-12-04T09:33:02.7145003Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7145668Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7146275Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7146535Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7146799Z unimplemented [] 2025-12-04T09:33:02.7146989Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7147229Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7147420Z graph_break [] 2025-12-04T09:33:02.7147641Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7148308Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7148914Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7149181Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7149455Z unimplemented [] 2025-12-04T09:33:02.7149646Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7149882Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7150069Z graph_break [] 2025-12-04T09:33:02.7150288Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7150943Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7151556Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7151817Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7152096Z unimplemented [] 2025-12-04T09:33:02.7152284Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7152526Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7152723Z graph_break [] 2025-12-04T09:33:02.7152943Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7153609Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7154222Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7154551Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7154902Z Traceback (most recent call last): 2025-12-04T09:33:02.7155360Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7155746Z return value(self) 2025-12-04T09:33:02.7156213Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7156679Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7157116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7157576Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7168007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7168546Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7168854Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7169018Z 2025-12-04T09:33:02.7169104Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7169437Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7169893Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7170167Z 2025-12-04T09:33:02.7170308Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7170816Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7171197Z 2025-12-04T09:33:02.7171360Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7171752Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7172033Z unimplemented [] 2025-12-04T09:33:02.7172238Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7172498Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7172692Z graph_break [] 2025-12-04T09:33:02.7172914Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7173603Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7174222Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7174481Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7174758Z unimplemented [] 2025-12-04T09:33:02.7174967Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7175225Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7175418Z graph_break [] 2025-12-04T09:33:02.7175645Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7176330Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7176943Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7177202Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7177473Z unimplemented [] 2025-12-04T09:33:02.7177669Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7177909Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7177982Z graph_break [] 2025-12-04T09:33:02.7178232Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7178695Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7178773Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7178901Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7178963Z unimplemented [] 2025-12-04T09:33:02.7179063Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7179298Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7179366Z graph_break [] 2025-12-04T09:33:02.7179492Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7180016Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7180097Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7180236Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7180300Z unimplemented [] 2025-12-04T09:33:02.7180411Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7180486Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7180548Z graph_break [] 2025-12-04T09:33:02.7180682Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7181129Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7181210Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7181336Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7181402Z unimplemented [] 2025-12-04T09:33:02.7181503Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7181575Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7181640Z graph_break [] 2025-12-04T09:33:02.7181779Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7182242Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7182321Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7182450Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7182516Z unimplemented [] 2025-12-04T09:33:02.7182623Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7182694Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7182754Z graph_break [] 2025-12-04T09:33:02.7182894Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7183347Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7183425Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7183550Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7183613Z unimplemented [] 2025-12-04T09:33:02.7183713Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7183782Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7183843Z graph_break [] 2025-12-04T09:33:02.7183980Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7184435Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7184514Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7184638Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7184700Z unimplemented [] 2025-12-04T09:33:02.7184800Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7184872Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7184934Z graph_break [] 2025-12-04T09:33:02.7185065Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7185515Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7185674Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7185801Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7185864Z unimplemented [] 2025-12-04T09:33:02.7186030Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7186103Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7186165Z graph_break [] 2025-12-04T09:33:02.7186299Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7186758Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7186834Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7186959Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7187022Z unimplemented [] 2025-12-04T09:33:02.7187127Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7187205Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7187269Z graph_break [] 2025-12-04T09:33:02.7187401Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7187861Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7187932Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7188062Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7188124Z unimplemented [] 2025-12-04T09:33:02.7188221Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7188293Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7188353Z graph_break [] 2025-12-04T09:33:02.7188481Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7188935Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7189019Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7189149Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7189215Z unimplemented [] 2025-12-04T09:33:02.7189312Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7189382Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7189442Z graph_break [] 2025-12-04T09:33:02.7189570Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7190023Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7190093Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7190222Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7190289Z unimplemented [] 2025-12-04T09:33:02.7190388Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7190459Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7190522Z graph_break [] 2025-12-04T09:33:02.7190653Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7191104Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7191175Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7191304Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7191366Z unimplemented [] 2025-12-04T09:33:02.7191464Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7191535Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7191595Z graph_break [] 2025-12-04T09:33:02.7191727Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7192292Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7192443Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7192658Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7192738Z Traceback (most recent call last): 2025-12-04T09:33:02.7192987Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7193055Z return value(self) 2025-12-04T09:33:02.7193353Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7193452Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7193725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7193834Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7194154Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7194286Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7194386Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7194390Z 2025-12-04T09:33:02.7194466Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7194655Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7194862Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7194866Z 2025-12-04T09:33:02.7194999Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7195302Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7195309Z 2025-12-04T09:33:02.7195471Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7195604Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7195676Z unimplemented [] 2025-12-04T09:33:02.7195774Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7195847Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7195915Z graph_break [] 2025-12-04T09:33:02.7196041Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7196521Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7196597Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7196722Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7196801Z unimplemented [] 2025-12-04T09:33:02.7196899Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7196971Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7197041Z graph_break [] 2025-12-04T09:33:02.7197170Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7197646Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7197715Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7197838Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7197907Z unimplemented [] 2025-12-04T09:33:02.7198005Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7198075Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7198140Z graph_break [] 2025-12-04T09:33:02.7198263Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7198810Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7199853Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7199996Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7200066Z unimplemented [] 2025-12-04T09:33:02.7200160Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7200232Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7200298Z graph_break [] 2025-12-04T09:33:02.7200426Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7200886Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7200965Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7201093Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7201162Z unimplemented [] 2025-12-04T09:33:02.7201254Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7201330Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7201406Z graph_break [] 2025-12-04T09:33:02.7201536Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7201992Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7202067Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7202192Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7202259Z unimplemented [] 2025-12-04T09:33:02.7202350Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7202421Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7202492Z graph_break [] 2025-12-04T09:33:02.7202618Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7203071Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7203148Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7203270Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7203339Z unimplemented [] 2025-12-04T09:33:02.7203431Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7203502Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7203569Z graph_break [] 2025-12-04T09:33:02.7203693Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7204143Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7204223Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7204345Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7204422Z unimplemented [] 2025-12-04T09:33:02.7204513Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7204583Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7204654Z graph_break [] 2025-12-04T09:33:02.7204777Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7205226Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7205304Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7205427Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7205489Z unimplemented [] 2025-12-04T09:33:02.7205674Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7205750Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7205817Z graph_break [] 2025-12-04T09:33:02.7206005Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7206460Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7206537Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7206665Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7206727Z unimplemented [] 2025-12-04T09:33:02.7206825Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7206896Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7206964Z graph_break [] 2025-12-04T09:33:02.7207094Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7207548Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7207634Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7207763Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7207827Z unimplemented [] 2025-12-04T09:33:02.7207928Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7207999Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7208068Z graph_break [] 2025-12-04T09:33:02.7208194Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7208643Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7208718Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7208845Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7208909Z unimplemented [] 2025-12-04T09:33:02.7209006Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7209075Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7209138Z graph_break [] 2025-12-04T09:33:02.7209268Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7209719Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7209793Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7209915Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7209976Z unimplemented [] 2025-12-04T09:33:02.7210072Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7210143Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7210207Z graph_break [] 2025-12-04T09:33:02.7210338Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7210793Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7210869Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7210995Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7211058Z unimplemented [] 2025-12-04T09:33:02.7211155Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7211226Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7211286Z graph_break [] 2025-12-04T09:33:02.7211415Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7211865Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7212346Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7212515Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7212583Z unimplemented [] 2025-12-04T09:33:02.7212844Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7212926Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7212991Z graph_break [] 2025-12-04T09:33:02.7213133Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7213601Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7213678Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7213804Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7213866Z unimplemented [] 2025-12-04T09:33:02.7213980Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7214056Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7214117Z graph_break [] 2025-12-04T09:33:02.7214249Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7214708Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7214783Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7214979Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7215058Z Traceback (most recent call last): 2025-12-04T09:33:02.7215301Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7215367Z return value(self) 2025-12-04T09:33:02.7215663Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7215763Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7216034Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7216148Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7216461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7216591Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7216688Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7216692Z 2025-12-04T09:33:02.7216767Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7216958Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7217152Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7217156Z 2025-12-04T09:33:02.7217289Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7217598Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7217602Z 2025-12-04T09:33:02.7217766Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7217896Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7217966Z unimplemented [] 2025-12-04T09:33:02.7218164Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7218250Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7218315Z graph_break [] 2025-12-04T09:33:02.7218442Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7218911Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7219121Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7219253Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7219334Z unimplemented [] 2025-12-04T09:33:02.7219502Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7219583Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7219645Z graph_break [] 2025-12-04T09:33:02.7219771Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7220253Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7220327Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7220453Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7220524Z unimplemented [] 2025-12-04T09:33:02.7220631Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7220717Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7220779Z graph_break [] 2025-12-04T09:33:02.7220903Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7221373Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7221444Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7221571Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7221643Z unimplemented [] 2025-12-04T09:33:02.7221740Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7221814Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7221884Z graph_break [] 2025-12-04T09:33:02.7222009Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7222469Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7222544Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7222671Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7222742Z unimplemented [] 2025-12-04T09:33:02.7222835Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7222908Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7222975Z graph_break [] 2025-12-04T09:33:02.7223109Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7223571Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7223640Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7223763Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7223836Z unimplemented [] 2025-12-04T09:33:02.7223928Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7223998Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7224064Z graph_break [] 2025-12-04T09:33:02.7224192Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7224651Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7224724Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7224861Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7224924Z unimplemented [] 2025-12-04T09:33:02.7225018Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7225095Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7225156Z graph_break [] 2025-12-04T09:33:02.7225292Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7225849Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7226007Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7226136Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7226206Z unimplemented [] 2025-12-04T09:33:02.7226298Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7226376Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7226436Z graph_break [] 2025-12-04T09:33:02.7226562Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7227030Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7227107Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7227237Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7227305Z unimplemented [] 2025-12-04T09:33:02.7227404Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7227484Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7227544Z graph_break [] 2025-12-04T09:33:02.7227668Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7228128Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7228197Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7228320Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7228388Z unimplemented [] 2025-12-04T09:33:02.7228478Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7228557Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7228619Z graph_break [] 2025-12-04T09:33:02.7228744Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7229205Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7229277Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7229401Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7229470Z unimplemented [] 2025-12-04T09:33:02.7229563Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7229634Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7229701Z graph_break [] 2025-12-04T09:33:02.7229823Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7230281Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7230353Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7230480Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7230549Z unimplemented [] 2025-12-04T09:33:02.7230639Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7230709Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7230774Z graph_break [] 2025-12-04T09:33:02.7230899Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7231358Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7231429Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7231552Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7231708Z unimplemented [] 2025-12-04T09:33:02.7231799Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7231871Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7231938Z graph_break [] 2025-12-04T09:33:02.7232128Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7232593Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7232663Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7232790Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7232860Z unimplemented [] 2025-12-04T09:33:02.7232952Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7233023Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7233101Z graph_break [] 2025-12-04T09:33:02.7233228Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7233694Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7233768Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7233892Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7233963Z unimplemented [] 2025-12-04T09:33:02.7234057Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7234128Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7234194Z graph_break [] 2025-12-04T09:33:02.7234319Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7234784Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7234855Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7234985Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7235053Z unimplemented [] 2025-12-04T09:33:02.7235144Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7235218Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7235284Z graph_break [] 2025-12-04T09:33:02.7235408Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7235859Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7235936Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7236062Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7236132Z unimplemented [] 2025-12-04T09:33:02.7236224Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7236297Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7236366Z graph_break [] 2025-12-04T09:33:02.7236496Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7236951Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7237028Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7237221Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7237304Z Traceback (most recent call last): 2025-12-04T09:33:02.7237551Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7237617Z return value(self) 2025-12-04T09:33:02.7237925Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7238019Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7238379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7238494Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7238876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7239014Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7239106Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7239110Z 2025-12-04T09:33:02.7239189Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7239382Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7239569Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7239573Z 2025-12-04T09:33:02.7239711Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7240012Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7240016Z 2025-12-04T09:33:02.7240178Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7240317Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7240383Z unimplemented [] 2025-12-04T09:33:02.7240490Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7240561Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7240623Z graph_break [] 2025-12-04T09:33:02.7240754Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7241221Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7241293Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7241423Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7241487Z unimplemented [] 2025-12-04T09:33:02.7241580Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7241658Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7241720Z graph_break [] 2025-12-04T09:33:02.7241849Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7242306Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7242377Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7242522Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7242585Z unimplemented [] 2025-12-04T09:33:02.7242676Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7242750Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7242812Z graph_break [] 2025-12-04T09:33:02.7242942Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7243402Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7243472Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7243602Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7243665Z unimplemented [] 2025-12-04T09:33:02.7243757Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7243832Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7243892Z graph_break [] 2025-12-04T09:33:02.7244021Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7244478Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7244623Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7244754Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7244817Z unimplemented [] 2025-12-04T09:33:02.7244984Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7245063Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7245123Z graph_break [] 2025-12-04T09:33:02.7245251Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7245714Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7245784Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7245913Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7245975Z unimplemented [] 2025-12-04T09:33:02.7246072Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7246153Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7246215Z graph_break [] 2025-12-04T09:33:02.7246340Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7246814Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7246884Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7247015Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7247078Z unimplemented [] 2025-12-04T09:33:02.7247170Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7247246Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7247308Z graph_break [] 2025-12-04T09:33:02.7247433Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7247896Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7247968Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7248105Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7248168Z unimplemented [] 2025-12-04T09:33:02.7248261Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7248337Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7248397Z graph_break [] 2025-12-04T09:33:02.7248521Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7248982Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7249052Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7249181Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7249248Z unimplemented [] 2025-12-04T09:33:02.7249340Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7249427Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7249495Z graph_break [] 2025-12-04T09:33:02.7249622Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7250081Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7250153Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7250284Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7250348Z unimplemented [] 2025-12-04T09:33:02.7250440Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7250519Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7250580Z graph_break [] 2025-12-04T09:33:02.7250795Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7251320Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7251393Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7251528Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7251592Z unimplemented [] 2025-12-04T09:33:02.7251686Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7251766Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7251828Z graph_break [] 2025-12-04T09:33:02.7251956Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7252417Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7252492Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7252618Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7252689Z unimplemented [] 2025-12-04T09:33:02.7252783Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7252858Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7252917Z graph_break [] 2025-12-04T09:33:02.7253041Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7253501Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7253572Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7253696Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7253766Z unimplemented [] 2025-12-04T09:33:02.7253856Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7253946Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7254007Z graph_break [] 2025-12-04T09:33:02.7254133Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7254592Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7254663Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7254787Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7254857Z unimplemented [] 2025-12-04T09:33:02.7254948Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7255022Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7255085Z graph_break [] 2025-12-04T09:33:02.7255209Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7255669Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7255742Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7255869Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7255942Z unimplemented [] 2025-12-04T09:33:02.7256034Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7256105Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7256169Z graph_break [] 2025-12-04T09:33:02.7256292Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7256747Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7256817Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7256942Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7257096Z unimplemented [] 2025-12-04T09:33:02.7257191Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7257262Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7257329Z graph_break [] 2025-12-04T09:33:02.7257524Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7257984Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7258153Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7258283Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7258353Z unimplemented [] 2025-12-04T09:33:02.7258451Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7258521Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7258589Z graph_break [] 2025-12-04T09:33:02.7258718Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7259184Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7259254Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7259379Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7259458Z unimplemented [] 2025-12-04T09:33:02.7259555Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7259629Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7259696Z graph_break [] 2025-12-04T09:33:02.7259823Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7260288Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7260361Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7260555Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7260637Z Traceback (most recent call last): 2025-12-04T09:33:02.7260878Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7260944Z return value(self) 2025-12-04T09:33:02.7261249Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7261341Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7261616Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7261720Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7262031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7262168Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7262257Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7262262Z 2025-12-04T09:33:02.7262337Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7262531Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7262721Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7262725Z 2025-12-04T09:33:02.7262858Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7263155Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7263158Z 2025-12-04T09:33:02.7263320Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7263460Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7263606Z unimplemented [] 2025-12-04T09:33:02.7263708Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7263782Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7263844Z graph_break [] 2025-12-04T09:33:02.7264042Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7264506Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7264582Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7264725Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7264790Z unimplemented [] 2025-12-04T09:33:02.7264890Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7264963Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7265025Z graph_break [] 2025-12-04T09:33:02.7265164Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7265638Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7265715Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7265851Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7265915Z unimplemented [] 2025-12-04T09:33:02.7266015Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7266088Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7266150Z graph_break [] 2025-12-04T09:33:02.7266282Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7266735Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7266804Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7266939Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7267000Z unimplemented [] 2025-12-04T09:33:02.7267097Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7267181Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7267242Z graph_break [] 2025-12-04T09:33:02.7267373Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7267827Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7267895Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7268025Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7268087Z unimplemented [] 2025-12-04T09:33:02.7268177Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7268254Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7268316Z graph_break [] 2025-12-04T09:33:02.7268444Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7268898Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7268968Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7269100Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7269161Z unimplemented [] 2025-12-04T09:33:02.7269253Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7269329Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7269388Z graph_break [] 2025-12-04T09:33:02.7269518Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7269970Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7270129Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7270260Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7270387Z unimplemented [] 2025-12-04T09:33:02.7270482Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7270559Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7270619Z graph_break [] 2025-12-04T09:33:02.7270751Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7271206Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7271275Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7271405Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7271481Z unimplemented [] 2025-12-04T09:33:02.7271582Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7271659Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7271721Z graph_break [] 2025-12-04T09:33:02.7271848Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7272317Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7272392Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7272526Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7272588Z unimplemented [] 2025-12-04T09:33:02.7272680Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7272758Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7272818Z graph_break [] 2025-12-04T09:33:02.7272941Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7273404Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7273476Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7273609Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7273672Z unimplemented [] 2025-12-04T09:33:02.7273764Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7273841Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7273901Z graph_break [] 2025-12-04T09:33:02.7274026Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7274485Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7274554Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7274690Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7274753Z unimplemented [] 2025-12-04T09:33:02.7274847Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7274928Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7274989Z graph_break [] 2025-12-04T09:33:02.7275114Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7275572Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7275642Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7275775Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7275837Z unimplemented [] 2025-12-04T09:33:02.7275930Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7276007Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7276170Z graph_break [] 2025-12-04T09:33:02.7276297Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7276822Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7276895Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7277030Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7277094Z unimplemented [] 2025-12-04T09:33:02.7277187Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7277269Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7277328Z graph_break [] 2025-12-04T09:33:02.7277456Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7277917Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7277991Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7278138Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7278209Z unimplemented [] 2025-12-04T09:33:02.7278303Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7278380Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7278442Z graph_break [] 2025-12-04T09:33:02.7278567Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7279033Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7279104Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7279236Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7279298Z unimplemented [] 2025-12-04T09:33:02.7279392Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7279471Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7279531Z graph_break [] 2025-12-04T09:33:02.7279659Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7280119Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7280199Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7280334Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7280400Z unimplemented [] 2025-12-04T09:33:02.7280492Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7280570Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7280634Z graph_break [] 2025-12-04T09:33:02.7280764Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7281228Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7281304Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7281435Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7281498Z unimplemented [] 2025-12-04T09:33:02.7281590Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7281666Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7281725Z graph_break [] 2025-12-04T09:33:02.7281850Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7282309Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7282379Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7282578Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7282644Z unimplemented [] 2025-12-04T09:33:02.7282746Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7282902Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7282964Z graph_break [] 2025-12-04T09:33:02.7283090Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7283550Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7283619Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7283742Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7283820Z unimplemented [] 2025-12-04T09:33:02.7283914Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7283989Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7284054Z graph_break [] 2025-12-04T09:33:02.7284177Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7284640Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7284710Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7284902Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7284983Z Traceback (most recent call last): 2025-12-04T09:33:02.7285225Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7285297Z return value(self) 2025-12-04T09:33:02.7285592Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7285679Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7285956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7286061Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7286377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7286508Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7286598Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7286602Z 2025-12-04T09:33:02.7286682Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7286865Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7287054Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7287057Z 2025-12-04T09:33:02.7287188Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7287485Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7287492Z 2025-12-04T09:33:02.7287657Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7287790Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7287858Z unimplemented [] 2025-12-04T09:33:02.7287957Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7288028Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7288088Z graph_break [] 2025-12-04T09:33:02.7288222Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7288682Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7288762Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7288888Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7289028Z unimplemented [] 2025-12-04T09:33:02.7289140Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7289214Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7289275Z graph_break [] 2025-12-04T09:33:02.7289472Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7289931Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7290007Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7290133Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7290197Z unimplemented [] 2025-12-04T09:33:02.7290296Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7290369Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7290433Z graph_break [] 2025-12-04T09:33:02.7290564Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7291025Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7291101Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7291231Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7291296Z unimplemented [] 2025-12-04T09:33:02.7291394Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7291464Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7291526Z graph_break [] 2025-12-04T09:33:02.7291656Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7292113Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7292194Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7292319Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7292382Z unimplemented [] 2025-12-04T09:33:02.7292482Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7292553Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7292616Z graph_break [] 2025-12-04T09:33:02.7292747Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7293204Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7293274Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7293405Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7293481Z unimplemented [] 2025-12-04T09:33:02.7293582Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7293658Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7293720Z graph_break [] 2025-12-04T09:33:02.7293851Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7294309Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7294381Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7294512Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7294575Z unimplemented [] 2025-12-04T09:33:02.7294671Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7294742Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7294802Z graph_break [] 2025-12-04T09:33:02.7294934Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7295386Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7295543Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7295756Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7295824Z unimplemented [] 2025-12-04T09:33:02.7295920Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7295991Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7296051Z graph_break [] 2025-12-04T09:33:02.7296183Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7296639Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7296709Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7296838Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7296905Z unimplemented [] 2025-12-04T09:33:02.7297001Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7297081Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7297142Z graph_break [] 2025-12-04T09:33:02.7297276Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7297731Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7297800Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7297931Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7297993Z unimplemented [] 2025-12-04T09:33:02.7298181Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7298259Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7298319Z graph_break [] 2025-12-04T09:33:02.7298450Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7298913Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7298982Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7299111Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7299177Z unimplemented [] 2025-12-04T09:33:02.7299271Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7299347Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7299407Z graph_break [] 2025-12-04T09:33:02.7299537Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7299990Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7300060Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7300189Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7300250Z unimplemented [] 2025-12-04T09:33:02.7300345Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7300422Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7300486Z graph_break [] 2025-12-04T09:33:02.7300619Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7301070Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7301140Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7301271Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7301334Z unimplemented [] 2025-12-04T09:33:02.7301424Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7301589Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7301651Z graph_break [] 2025-12-04T09:33:02.7301775Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7302303Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7302376Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7302508Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7302570Z unimplemented [] 2025-12-04T09:33:02.7302662Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7302739Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7302800Z graph_break [] 2025-12-04T09:33:02.7302926Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7303386Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7303459Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7303595Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7303659Z unimplemented [] 2025-12-04T09:33:02.7303750Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7303827Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7303887Z graph_break [] 2025-12-04T09:33:02.7304009Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7304469Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7304540Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7304681Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7304750Z unimplemented [] 2025-12-04T09:33:02.7304842Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7304920Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7304981Z graph_break [] 2025-12-04T09:33:02.7305108Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7305569Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7305639Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7305774Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7305837Z unimplemented [] 2025-12-04T09:33:02.7305928Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7306008Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7306069Z graph_break [] 2025-12-04T09:33:02.7306192Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7306656Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7306735Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7306868Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7306931Z unimplemented [] 2025-12-04T09:33:02.7307023Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7307110Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7307173Z graph_break [] 2025-12-04T09:33:02.7307298Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7307759Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7307883Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7308051Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7308114Z unimplemented [] 2025-12-04T09:33:02.7308203Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7308343Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7308406Z graph_break [] 2025-12-04T09:33:02.7308533Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7308999Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7309069Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7309203Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7309272Z unimplemented [] 2025-12-04T09:33:02.7309365Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7309442Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7309504Z graph_break [] 2025-12-04T09:33:02.7309627Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7310088Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7310157Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7310281Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7310350Z unimplemented [] 2025-12-04T09:33:02.7310442Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7310516Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7310578Z graph_break [] 2025-12-04T09:33:02.7310701Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7311159Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7311233Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7311428Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7311511Z Traceback (most recent call last): 2025-12-04T09:33:02.7311743Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7311817Z return value(self) 2025-12-04T09:33:02.7312445Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7312539Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7312815Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7312929Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7313244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7313380Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7313470Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7313477Z 2025-12-04T09:33:02.7313559Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7313744Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7313933Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7313936Z 2025-12-04T09:33:02.7314071Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7314366Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7314370Z 2025-12-04T09:33:02.7314536Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7314769Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7314902Z unimplemented [] 2025-12-04T09:33:02.7315008Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7315079Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7315242Z graph_break [] 2025-12-04T09:33:02.7315378Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7315842Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7315925Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7316057Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7316121Z unimplemented [] 2025-12-04T09:33:02.7316220Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7316291Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7316356Z graph_break [] 2025-12-04T09:33:02.7316489Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7316949Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7317026Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7317151Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7317215Z unimplemented [] 2025-12-04T09:33:02.7317315Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7317386Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7317447Z graph_break [] 2025-12-04T09:33:02.7317578Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7318033Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7318116Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7318240Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7318303Z unimplemented [] 2025-12-04T09:33:02.7318403Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7318474Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7318536Z graph_break [] 2025-12-04T09:33:02.7318668Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7319121Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7319200Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7319324Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7319387Z unimplemented [] 2025-12-04T09:33:02.7319487Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7319561Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7319621Z graph_break [] 2025-12-04T09:33:02.7319761Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7320221Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7320292Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7320422Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7320484Z unimplemented [] 2025-12-04T09:33:02.7320582Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7320657Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7320718Z graph_break [] 2025-12-04T09:33:02.7320850Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7321349Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7321453Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7321666Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7321732Z unimplemented [] 2025-12-04T09:33:02.7321831Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7321903Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7321970Z graph_break [] 2025-12-04T09:33:02.7322107Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7322566Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7322636Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7322767Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7322830Z unimplemented [] 2025-12-04T09:33:02.7322926Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7322998Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7323061Z graph_break [] 2025-12-04T09:33:02.7323190Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7323642Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7323710Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7323841Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7323903Z unimplemented [] 2025-12-04T09:33:02.7323997Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7324071Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7324133Z graph_break [] 2025-12-04T09:33:02.7324262Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7324719Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7324787Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7324916Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7324978Z unimplemented [] 2025-12-04T09:33:02.7325068Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7325144Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7325204Z graph_break [] 2025-12-04T09:33:02.7325333Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7325794Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7325866Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7325994Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7326057Z unimplemented [] 2025-12-04T09:33:02.7326150Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7326229Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7326288Z graph_break [] 2025-12-04T09:33:02.7326416Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7326870Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7326939Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7327071Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7327133Z unimplemented [] 2025-12-04T09:33:02.7327276Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7327388Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7327449Z graph_break [] 2025-12-04T09:33:02.7327579Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7328101Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7328174Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7328304Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7328366Z unimplemented [] 2025-12-04T09:33:02.7328457Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7328536Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7328597Z graph_break [] 2025-12-04T09:33:02.7328720Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7329193Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7329266Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7329400Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7329464Z unimplemented [] 2025-12-04T09:33:02.7329555Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7329632Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7329692Z graph_break [] 2025-12-04T09:33:02.7329815Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7330278Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7330347Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7330480Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7330546Z unimplemented [] 2025-12-04T09:33:02.7330639Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7330718Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7330781Z graph_break [] 2025-12-04T09:33:02.7330907Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7331368Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7331438Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7331566Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7331630Z unimplemented [] 2025-12-04T09:33:02.7331732Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7331810Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7331870Z graph_break [] 2025-12-04T09:33:02.7331999Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7332463Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7332532Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7332664Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7332727Z unimplemented [] 2025-12-04T09:33:02.7332821Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7332899Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7332962Z graph_break [] 2025-12-04T09:33:02.7333087Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7333550Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7333707Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7333841Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7333906Z unimplemented [] 2025-12-04T09:33:02.7334062Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7334144Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7334207Z graph_break [] 2025-12-04T09:33:02.7334335Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7334795Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7334866Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7335002Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7335071Z unimplemented [] 2025-12-04T09:33:02.7335164Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7335245Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7335306Z graph_break [] 2025-12-04T09:33:02.7335433Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7335893Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7335963Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7336087Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7336156Z unimplemented [] 2025-12-04T09:33:02.7336246Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7336320Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7336381Z graph_break [] 2025-12-04T09:33:02.7336504Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7336959Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7337033Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7337161Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7337229Z unimplemented [] 2025-12-04T09:33:02.7337320Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7337396Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7337456Z graph_break [] 2025-12-04T09:33:02.7337579Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7338139Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7338218Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7338346Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7338418Z unimplemented [] 2025-12-04T09:33:02.7338508Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7338585Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7338645Z graph_break [] 2025-12-04T09:33:02.7338773Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7339235Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7339304Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7339497Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7339580Z Traceback (most recent call last): 2025-12-04T09:33:02.7339813Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7339888Z return value(self) 2025-12-04T09:33:02.7340271Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7340360Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7340698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7340802Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7341116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7341261Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7341352Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7341356Z 2025-12-04T09:33:02.7341436Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7341626Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7341815Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7341822Z 2025-12-04T09:33:02.7341958Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7342260Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7342264Z 2025-12-04T09:33:02.7342429Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7342558Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7342623Z unimplemented [] 2025-12-04T09:33:02.7342727Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7342800Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7342862Z graph_break [] 2025-12-04T09:33:02.7342996Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7343464Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7343545Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7343669Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7343738Z unimplemented [] 2025-12-04T09:33:02.7343840Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7343910Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7343971Z graph_break [] 2025-12-04T09:33:02.7344109Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7344566Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7344643Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7344768Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7344835Z unimplemented [] 2025-12-04T09:33:02.7344935Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7345006Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7345067Z graph_break [] 2025-12-04T09:33:02.7345210Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7345667Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7345754Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7345881Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7345945Z unimplemented [] 2025-12-04T09:33:02.7346045Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7346115Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7346178Z graph_break [] 2025-12-04T09:33:02.7346311Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7346860Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7346993Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7347128Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7347192Z unimplemented [] 2025-12-04T09:33:02.7347290Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7347372Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7347435Z graph_break [] 2025-12-04T09:33:02.7347567Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7348021Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7348092Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7348224Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7348286Z unimplemented [] 2025-12-04T09:33:02.7348387Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7348462Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7348528Z graph_break [] 2025-12-04T09:33:02.7348661Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7349117Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7349185Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7349313Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7349375Z unimplemented [] 2025-12-04T09:33:02.7349469Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7349549Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7349614Z graph_break [] 2025-12-04T09:33:02.7349743Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7350200Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7350272Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7350402Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7350465Z unimplemented [] 2025-12-04T09:33:02.7350561Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7350630Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7350689Z graph_break [] 2025-12-04T09:33:02.7350817Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7351270Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7351342Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7351470Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7351534Z unimplemented [] 2025-12-04T09:33:02.7351626Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7351701Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7351761Z graph_break [] 2025-12-04T09:33:02.7351888Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7352338Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7352407Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7352536Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7352650Z unimplemented [] 2025-12-04T09:33:02.7352777Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7352852Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7352912Z graph_break [] 2025-12-04T09:33:02.7353108Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7353564Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7353634Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7353773Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7353838Z unimplemented [] 2025-12-04T09:33:02.7353934Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7354011Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7354071Z graph_break [] 2025-12-04T09:33:02.7354203Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7354660Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7354734Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7354864Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7354926Z unimplemented [] 2025-12-04T09:33:02.7355018Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7355096Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7355157Z graph_break [] 2025-12-04T09:33:02.7355281Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7355742Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7355813Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7355945Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7356007Z unimplemented [] 2025-12-04T09:33:02.7356100Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7356181Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7356242Z graph_break [] 2025-12-04T09:33:02.7356367Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7356828Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7356898Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7357032Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7357094Z unimplemented [] 2025-12-04T09:33:02.7357186Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7357263Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7357339Z graph_break [] 2025-12-04T09:33:02.7357466Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7357935Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7358008Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7358140Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7358201Z unimplemented [] 2025-12-04T09:33:02.7358294Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7358372Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7358433Z graph_break [] 2025-12-04T09:33:02.7358559Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7359018Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7359179Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7359312Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7359444Z unimplemented [] 2025-12-04T09:33:02.7359540Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7359624Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7359685Z graph_break [] 2025-12-04T09:33:02.7359810Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7360272Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7360346Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7360475Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7360539Z unimplemented [] 2025-12-04T09:33:02.7360635Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7360717Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7360777Z graph_break [] 2025-12-04T09:33:02.7360906Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7361379Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7361450Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7361583Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7361647Z unimplemented [] 2025-12-04T09:33:02.7361738Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7361811Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7361872Z graph_break [] 2025-12-04T09:33:02.7361998Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7362460Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7362530Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7362656Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7362726Z unimplemented [] 2025-12-04T09:33:02.7362815Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7362889Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7362951Z graph_break [] 2025-12-04T09:33:02.7363073Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7363529Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7363598Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7363723Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7363793Z unimplemented [] 2025-12-04T09:33:02.7363882Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7363958Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7364020Z graph_break [] 2025-12-04T09:33:02.7364145Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7364607Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7364676Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7364800Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7364869Z unimplemented [] 2025-12-04T09:33:02.7364959Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7365035Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7365151Z graph_break [] 2025-12-04T09:33:02.7365313Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7365835Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7365907Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7366031Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7366099Z unimplemented [] 2025-12-04T09:33:02.7366190Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7366261Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7366339Z graph_break [] 2025-12-04T09:33:02.7366466Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7366928Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7367002Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7367127Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7367195Z unimplemented [] 2025-12-04T09:33:02.7367290Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7367361Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7367428Z graph_break [] 2025-12-04T09:33:02.7367551Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7368009Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7368079Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7368276Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7368359Z Traceback (most recent call last): 2025-12-04T09:33:02.7368596Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7368662Z return value(self) 2025-12-04T09:33:02.7368968Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7369055Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7369326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7369429Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7369741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7369879Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7369969Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7369973Z 2025-12-04T09:33:02.7370056Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7370242Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7370432Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7370438Z 2025-12-04T09:33:02.7370574Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7370873Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7370876Z 2025-12-04T09:33:02.7371043Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7371171Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7371236Z unimplemented [] 2025-12-04T09:33:02.7371337Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7371410Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7371470Z graph_break [] 2025-12-04T09:33:02.7371664Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7372239Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7372321Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7372448Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7372512Z unimplemented [] 2025-12-04T09:33:02.7372615Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7372687Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7372749Z graph_break [] 2025-12-04T09:33:02.7372884Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7373339Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7373416Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7373549Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7373613Z unimplemented [] 2025-12-04T09:33:02.7373716Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7373787Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7373849Z graph_break [] 2025-12-04T09:33:02.7373984Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7374443Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7374514Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7374643Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7374705Z unimplemented [] 2025-12-04T09:33:02.7374805Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7374882Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7374944Z graph_break [] 2025-12-04T09:33:02.7375077Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7375538Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7375606Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7375738Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7375802Z unimplemented [] 2025-12-04T09:33:02.7375901Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7375979Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7376040Z graph_break [] 2025-12-04T09:33:02.7376171Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7376628Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7376700Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7376832Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7376895Z unimplemented [] 2025-12-04T09:33:02.7376991Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7377061Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7377121Z graph_break [] 2025-12-04T09:33:02.7377254Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7377710Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7377783Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7377911Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7378159Z unimplemented [] 2025-12-04T09:33:02.7378268Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7378346Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7378406Z graph_break [] 2025-12-04T09:33:02.7378606Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7379063Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7379133Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7379266Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7379328Z unimplemented [] 2025-12-04T09:33:02.7379422Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7379501Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7379562Z graph_break [] 2025-12-04T09:33:02.7379690Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7380145Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7380231Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7380361Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7380425Z unimplemented [] 2025-12-04T09:33:02.7380519Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7380595Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7380655Z graph_break [] 2025-12-04T09:33:02.7380786Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7381242Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7381315Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7381445Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7381507Z unimplemented [] 2025-12-04T09:33:02.7381600Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7381678Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7381740Z graph_break [] 2025-12-04T09:33:02.7381863Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7382320Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7382389Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7382519Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7382580Z unimplemented [] 2025-12-04T09:33:02.7382672Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7382756Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7382818Z graph_break [] 2025-12-04T09:33:02.7382942Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7383409Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7383480Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7383613Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7383677Z unimplemented [] 2025-12-04T09:33:02.7383769Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7383848Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7383908Z graph_break [] 2025-12-04T09:33:02.7384033Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7384496Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7384642Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7384836Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7384901Z unimplemented [] 2025-12-04T09:33:02.7384992Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7385075Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7385136Z graph_break [] 2025-12-04T09:33:02.7385263Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7385725Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7385793Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7400371Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7400494Z unimplemented [] 2025-12-04T09:33:02.7400627Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7400717Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7400790Z graph_break [] 2025-12-04T09:33:02.7400946Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7401446Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7401535Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7401677Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7401756Z unimplemented [] 2025-12-04T09:33:02.7401862Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7401945Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7402017Z graph_break [] 2025-12-04T09:33:02.7402147Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7402621Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7402708Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7402837Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7402907Z unimplemented [] 2025-12-04T09:33:02.7403004Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7403077Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7403146Z graph_break [] 2025-12-04T09:33:02.7403271Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7403731Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7403815Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7403943Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7404020Z unimplemented [] 2025-12-04T09:33:02.7404115Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7404190Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7404258Z graph_break [] 2025-12-04T09:33:02.7404388Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7404854Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7404933Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7405056Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7405127Z unimplemented [] 2025-12-04T09:33:02.7405223Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7405380Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7405491Z graph_break [] 2025-12-04T09:33:02.7405615Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7406166Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7406250Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7406377Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7406440Z unimplemented [] 2025-12-04T09:33:02.7406538Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7406609Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7406677Z graph_break [] 2025-12-04T09:33:02.7406801Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7407252Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7407343Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7407468Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7407535Z unimplemented [] 2025-12-04T09:33:02.7407634Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7407705Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7407771Z graph_break [] 2025-12-04T09:33:02.7407897Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7408350Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7408427Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7408553Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7408618Z unimplemented [] 2025-12-04T09:33:02.7408718Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7408789Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7408856Z graph_break [] 2025-12-04T09:33:02.7408982Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7409434Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7409511Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7409634Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7409698Z unimplemented [] 2025-12-04T09:33:02.7409797Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7409866Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7409926Z graph_break [] 2025-12-04T09:33:02.7410056Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7410511Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7410590Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7410715Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7410778Z unimplemented [] 2025-12-04T09:33:02.7410889Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7410962Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7411026Z graph_break [] 2025-12-04T09:33:02.7411159Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7411611Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7411687Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7411889Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7412236Z unimplemented [] 2025-12-04T09:33:02.7412438Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7412733Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7412818Z graph_break [] 2025-12-04T09:33:02.7412968Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7413449Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7413536Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7413745Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7413830Z Traceback (most recent call last): 2025-12-04T09:33:02.7414086Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7414157Z return value(self) 2025-12-04T09:33:02.7414462Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7414567Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7414844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7414959Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7415274Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7415406Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7415520Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7415525Z 2025-12-04T09:33:02.7415605Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7415804Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7416000Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7416004Z 2025-12-04T09:33:02.7416149Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7416467Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7416471Z 2025-12-04T09:33:02.7416638Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7416781Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7416848Z unimplemented [] 2025-12-04T09:33:02.7416952Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7417034Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7417097Z graph_break [] 2025-12-04T09:33:02.7417227Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7417715Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7417792Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7417921Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7417992Z unimplemented [] 2025-12-04T09:33:02.7418172Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7418254Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7418316Z graph_break [] 2025-12-04T09:33:02.7418444Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7418909Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7418981Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7419111Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7419317Z unimplemented [] 2025-12-04T09:33:02.7419419Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7419501Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7419627Z graph_break [] 2025-12-04T09:33:02.7419769Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7420251Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7420324Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7420452Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7420523Z unimplemented [] 2025-12-04T09:33:02.7420617Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7420695Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7420759Z graph_break [] 2025-12-04T09:33:02.7420887Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7421351Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7421432Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7421558Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7421628Z unimplemented [] 2025-12-04T09:33:02.7421721Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7421792Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7421858Z graph_break [] 2025-12-04T09:33:02.7421981Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7422432Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7422515Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7422652Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7422721Z unimplemented [] 2025-12-04T09:33:02.7422818Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7422890Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7422959Z graph_break [] 2025-12-04T09:33:02.7423085Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7423536Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7423614Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7423739Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7423810Z unimplemented [] 2025-12-04T09:33:02.7423901Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7423986Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7424054Z graph_break [] 2025-12-04T09:33:02.7424180Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7424633Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7424715Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7424840Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7424909Z unimplemented [] 2025-12-04T09:33:02.7425000Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7425074Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7425142Z graph_break [] 2025-12-04T09:33:02.7425271Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7425721Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7425885Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7426078Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7426152Z unimplemented [] 2025-12-04T09:33:02.7426249Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7426322Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7426387Z graph_break [] 2025-12-04T09:33:02.7426515Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7426968Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7427046Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7427169Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7427250Z unimplemented [] 2025-12-04T09:33:02.7427346Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7427416Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7427483Z graph_break [] 2025-12-04T09:33:02.7427608Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7428058Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7428132Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7428265Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7428329Z unimplemented [] 2025-12-04T09:33:02.7428429Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7428500Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7428567Z graph_break [] 2025-12-04T09:33:02.7428698Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7429151Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7429226Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7429351Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7429413Z unimplemented [] 2025-12-04T09:33:02.7429509Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7429579Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7429645Z graph_break [] 2025-12-04T09:33:02.7429768Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7430217Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7430295Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7430418Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7430483Z unimplemented [] 2025-12-04T09:33:02.7430586Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7430658Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7430717Z graph_break [] 2025-12-04T09:33:02.7430849Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7431298Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7431374Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7431508Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7431573Z unimplemented [] 2025-12-04T09:33:02.7431671Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7431817Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7431880Z graph_break [] 2025-12-04T09:33:02.7432025Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7432560Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7432638Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7432762Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7432825Z unimplemented [] 2025-12-04T09:33:02.7432923Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7432993Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7433053Z graph_break [] 2025-12-04T09:33:02.7433185Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7433637Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7433716Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7433844Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7433906Z unimplemented [] 2025-12-04T09:33:02.7434004Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7434075Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7434138Z graph_break [] 2025-12-04T09:33:02.7434269Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7434729Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7434807Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7434937Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7435003Z unimplemented [] 2025-12-04T09:33:02.7435104Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7435175Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7435236Z graph_break [] 2025-12-04T09:33:02.7435370Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7435818Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7435895Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7436019Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7436083Z unimplemented [] 2025-12-04T09:33:02.7436180Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7436253Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7436314Z graph_break [] 2025-12-04T09:33:02.7436449Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7436904Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7436983Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7437107Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7437171Z unimplemented [] 2025-12-04T09:33:02.7437274Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7437351Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7437412Z graph_break [] 2025-12-04T09:33:02.7437546Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7437997Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7438140Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7438273Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7438343Z unimplemented [] 2025-12-04T09:33:02.7438510Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7438583Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7438647Z graph_break [] 2025-12-04T09:33:02.7438782Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7439231Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7439302Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7439432Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7439494Z unimplemented [] 2025-12-04T09:33:02.7439589Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7439674Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7439733Z graph_break [] 2025-12-04T09:33:02.7439864Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7440315Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7440384Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7440513Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7440577Z unimplemented [] 2025-12-04T09:33:02.7440671Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7440744Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7440805Z graph_break [] 2025-12-04T09:33:02.7440935Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7441382Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7441454Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7441590Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7441652Z unimplemented [] 2025-12-04T09:33:02.7441748Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7441818Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7441878Z graph_break [] 2025-12-04T09:33:02.7442007Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7442461Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7442531Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7442662Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7442728Z unimplemented [] 2025-12-04T09:33:02.7442820Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7442896Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7442956Z graph_break [] 2025-12-04T09:33:02.7443089Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7443544Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7443613Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7443743Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7443807Z unimplemented [] 2025-12-04T09:33:02.7443898Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7443978Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7444038Z graph_break [] 2025-12-04T09:33:02.7444179Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7444739Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7444874Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7445078Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7445159Z Traceback (most recent call last): 2025-12-04T09:33:02.7445402Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7445477Z return value(self) 2025-12-04T09:33:02.7445772Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7445869Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7446142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7446254Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7446580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7446711Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7446804Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7446815Z 2025-12-04T09:33:02.7446892Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7447080Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7447278Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7447282Z 2025-12-04T09:33:02.7447413Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7447714Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7447726Z 2025-12-04T09:33:02.7447891Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7448024Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7448097Z unimplemented [] 2025-12-04T09:33:02.7448194Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7448268Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7448346Z graph_break [] 2025-12-04T09:33:02.7448475Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7448943Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7449021Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7449147Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7449219Z unimplemented [] 2025-12-04T09:33:02.7449315Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7449388Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7449457Z graph_break [] 2025-12-04T09:33:02.7449588Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7450044Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7450124Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7450249Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7450319Z unimplemented [] 2025-12-04T09:33:02.7450411Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7450484Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7450550Z graph_break [] 2025-12-04T09:33:02.7450675Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7451220Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7451365Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7451493Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7451563Z unimplemented [] 2025-12-04T09:33:02.7451655Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7451726Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7451793Z graph_break [] 2025-12-04T09:33:02.7451921Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7452372Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7452458Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7452588Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7452661Z unimplemented [] 2025-12-04T09:33:02.7452763Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7452839Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7452905Z graph_break [] 2025-12-04T09:33:02.7453031Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7453484Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7453560Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7453683Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7453748Z unimplemented [] 2025-12-04T09:33:02.7453845Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7453915Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7453984Z graph_break [] 2025-12-04T09:33:02.7454107Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7454570Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7454645Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7454774Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7454844Z unimplemented [] 2025-12-04T09:33:02.7454941Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7455011Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7455079Z graph_break [] 2025-12-04T09:33:02.7455204Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7455659Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7455744Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7455883Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7455956Z unimplemented [] 2025-12-04T09:33:02.7456049Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7456120Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7456186Z graph_break [] 2025-12-04T09:33:02.7456314Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7456767Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7456841Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7456967Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7457035Z unimplemented [] 2025-12-04T09:33:02.7457231Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7457302Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7457367Z graph_break [] 2025-12-04T09:33:02.7457553Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7458004Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7458177Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7458305Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7458376Z unimplemented [] 2025-12-04T09:33:02.7458466Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7458535Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7458601Z graph_break [] 2025-12-04T09:33:02.7458726Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7459189Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7459266Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7459394Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7459464Z unimplemented [] 2025-12-04T09:33:02.7459554Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7459625Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7459690Z graph_break [] 2025-12-04T09:33:02.7459814Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7460278Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7460356Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7460482Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7460552Z unimplemented [] 2025-12-04T09:33:02.7460643Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7460713Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7460783Z graph_break [] 2025-12-04T09:33:02.7460908Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7461360Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7461436Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7461559Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7461629Z unimplemented [] 2025-12-04T09:33:02.7461720Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7461789Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7461858Z graph_break [] 2025-12-04T09:33:02.7461984Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7462435Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7462514Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7462639Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7462702Z unimplemented [] 2025-12-04T09:33:02.7462799Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7462870Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7462937Z graph_break [] 2025-12-04T09:33:02.7463060Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7463513Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7463676Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7463802Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7463863Z unimplemented [] 2025-12-04T09:33:02.7464028Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7464101Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7464169Z graph_break [] 2025-12-04T09:33:02.7464298Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7464750Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7464825Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7464950Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7465013Z unimplemented [] 2025-12-04T09:33:02.7465114Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7465188Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7465258Z graph_break [] 2025-12-04T09:33:02.7465383Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7465848Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7465927Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7466056Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7466120Z unimplemented [] 2025-12-04T09:33:02.7466218Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7466290Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7466353Z graph_break [] 2025-12-04T09:33:02.7466484Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7466938Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7467021Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7467151Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7467215Z unimplemented [] 2025-12-04T09:33:02.7467317Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7467389Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7467450Z graph_break [] 2025-12-04T09:33:02.7467580Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7468031Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7468108Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7468232Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7468300Z unimplemented [] 2025-12-04T09:33:02.7468403Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7468474Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7468537Z graph_break [] 2025-12-04T09:33:02.7468666Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7469117Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7469194Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7469318Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7469381Z unimplemented [] 2025-12-04T09:33:02.7469478Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7469549Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7469610Z graph_break [] 2025-12-04T09:33:02.7469816Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7470329Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7470409Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7470534Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7470595Z unimplemented [] 2025-12-04T09:33:02.7470691Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7470760Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7470824Z graph_break [] 2025-12-04T09:33:02.7470952Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7471402Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7471481Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7471606Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7471667Z unimplemented [] 2025-12-04T09:33:02.7471768Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7471839Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7471898Z graph_break [] 2025-12-04T09:33:02.7472027Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7472494Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7472572Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7472696Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7472758Z unimplemented [] 2025-12-04T09:33:02.7472856Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7472931Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7472990Z graph_break [] 2025-12-04T09:33:02.7473120Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7473575Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7473644Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7473775Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7473838Z unimplemented [] 2025-12-04T09:33:02.7473935Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7474008Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7474068Z graph_break [] 2025-12-04T09:33:02.7474196Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7474649Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7474723Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7474859Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7474922Z unimplemented [] 2025-12-04T09:33:02.7475020Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7475090Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7475150Z graph_break [] 2025-12-04T09:33:02.7475284Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7475737Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7475808Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7475938Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7476084Z unimplemented [] 2025-12-04T09:33:02.7476183Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7476254Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7476319Z graph_break [] 2025-12-04T09:33:02.7476514Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7476967Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7477038Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7477238Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7477316Z Traceback (most recent call last): 2025-12-04T09:33:02.7477556Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7477622Z return value(self) 2025-12-04T09:33:02.7477920Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7478017Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7478291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7478394Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7478713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7478839Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7478934Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7478941Z 2025-12-04T09:33:02.7479022Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7479210Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7479407Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7479413Z 2025-12-04T09:33:02.7479542Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7479853Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7479857Z 2025-12-04T09:33:02.7480021Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7480151Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7480224Z unimplemented [] 2025-12-04T09:33:02.7480319Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7480390Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7480462Z graph_break [] 2025-12-04T09:33:02.7480589Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7481057Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7481133Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7481263Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7481332Z unimplemented [] 2025-12-04T09:33:02.7481429Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7481502Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7481572Z graph_break [] 2025-12-04T09:33:02.7481698Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7482160Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7482232Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7482360Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7482536Z unimplemented [] 2025-12-04T09:33:02.7482629Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7482698Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7482770Z graph_break [] 2025-12-04T09:33:02.7482960Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7483416Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7483493Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7483619Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7483688Z unimplemented [] 2025-12-04T09:33:02.7483779Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7483850Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7483916Z graph_break [] 2025-12-04T09:33:02.7484038Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7484510Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7484589Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7484713Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7484780Z unimplemented [] 2025-12-04T09:33:02.7484871Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7484941Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7485005Z graph_break [] 2025-12-04T09:33:02.7485128Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7485579Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7485656Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7485783Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7485850Z unimplemented [] 2025-12-04T09:33:02.7485941Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7486015Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7486081Z graph_break [] 2025-12-04T09:33:02.7486203Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7486651Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7486725Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7486849Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7486917Z unimplemented [] 2025-12-04T09:33:02.7487009Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7487091Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7487161Z graph_break [] 2025-12-04T09:33:02.7487292Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7487750Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7487827Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7487952Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7488021Z unimplemented [] 2025-12-04T09:33:02.7488114Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7488187Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7488253Z graph_break [] 2025-12-04T09:33:02.7488378Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7488830Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7488998Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7489121Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7489248Z unimplemented [] 2025-12-04T09:33:02.7489348Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7489432Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7489500Z graph_break [] 2025-12-04T09:33:02.7489626Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7490079Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7490154Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7490278Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7490344Z unimplemented [] 2025-12-04T09:33:02.7490443Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7490514Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7490580Z graph_break [] 2025-12-04T09:33:02.7490707Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7491158Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7491237Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7491359Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7491423Z unimplemented [] 2025-12-04T09:33:02.7491522Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7491594Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7491661Z graph_break [] 2025-12-04T09:33:02.7491788Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7492241Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7492320Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7492445Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7492509Z unimplemented [] 2025-12-04T09:33:02.7492608Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7492680Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7492743Z graph_break [] 2025-12-04T09:33:02.7492877Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7493328Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7493404Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7493533Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7493596Z unimplemented [] 2025-12-04T09:33:02.7493694Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7493769Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7493834Z graph_break [] 2025-12-04T09:33:02.7493967Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7494422Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7494505Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7494637Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7494700Z unimplemented [] 2025-12-04T09:33:02.7494801Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7494875Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7495020Z graph_break [] 2025-12-04T09:33:02.7495154Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7495672Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7495751Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7495877Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7495940Z unimplemented [] 2025-12-04T09:33:02.7496037Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7496107Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7496166Z graph_break [] 2025-12-04T09:33:02.7496305Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7496757Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7496834Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7496958Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7497024Z unimplemented [] 2025-12-04T09:33:02.7497123Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7497194Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7497253Z graph_break [] 2025-12-04T09:33:02.7497395Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7497848Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7497922Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7498130Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7498197Z unimplemented [] 2025-12-04T09:33:02.7498294Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7498364Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7498425Z graph_break [] 2025-12-04T09:33:02.7498556Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7499007Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7499082Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7499207Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7499269Z unimplemented [] 2025-12-04T09:33:02.7499373Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7499450Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7499510Z graph_break [] 2025-12-04T09:33:02.7499638Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7500092Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7500164Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7500293Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7500356Z unimplemented [] 2025-12-04T09:33:02.7500453Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7500525Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7500586Z graph_break [] 2025-12-04T09:33:02.7500717Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7501167Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7501236Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7501459Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7501521Z unimplemented [] 2025-12-04T09:33:02.7501618Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7501778Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7501843Z graph_break [] 2025-12-04T09:33:02.7501973Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7502426Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7502496Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7502628Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7502691Z unimplemented [] 2025-12-04T09:33:02.7502788Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7502859Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7502923Z graph_break [] 2025-12-04T09:33:02.7503053Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7503506Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7503577Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7503709Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7503772Z unimplemented [] 2025-12-04T09:33:02.7503863Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7503939Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7504000Z graph_break [] 2025-12-04T09:33:02.7504130Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7504579Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7504653Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7504784Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7504850Z unimplemented [] 2025-12-04T09:33:02.7504942Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7505033Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7505093Z graph_break [] 2025-12-04T09:33:02.7505224Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7505679Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7505749Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7505881Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7505948Z unimplemented [] 2025-12-04T09:33:02.7506044Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7506123Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7506183Z graph_break [] 2025-12-04T09:33:02.7506321Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7506772Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7506844Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7506975Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7507043Z unimplemented [] 2025-12-04T09:33:02.7507134Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7507216Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7507276Z graph_break [] 2025-12-04T09:33:02.7507407Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7507948Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7508019Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7508216Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7508281Z unimplemented [] 2025-12-04T09:33:02.7508372Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7508450Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7508511Z graph_break [] 2025-12-04T09:33:02.7508642Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7509096Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7509167Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7509304Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7509370Z unimplemented [] 2025-12-04T09:33:02.7509462Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7509539Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7509602Z graph_break [] 2025-12-04T09:33:02.7509737Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7510189Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7510260Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7510461Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7510539Z Traceback (most recent call last): 2025-12-04T09:33:02.7510781Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7510856Z return value(self) 2025-12-04T09:33:02.7511149Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7511240Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7511511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7511613Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7511927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7512734Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7512868Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7512878Z 2025-12-04T09:33:02.7512956Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7513151Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7513369Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7513373Z 2025-12-04T09:33:02.7513514Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7513947Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7513959Z 2025-12-04T09:33:02.7514135Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7514280Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7514352Z unimplemented [] 2025-12-04T09:33:02.7514451Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7514526Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7514592Z graph_break [] 2025-12-04T09:33:02.7514721Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7515201Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7515461Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7515697Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7515768Z unimplemented [] 2025-12-04T09:33:02.7515862Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7515931Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7515996Z graph_break [] 2025-12-04T09:33:02.7516121Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7516578Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7516655Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7516779Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7516852Z unimplemented [] 2025-12-04T09:33:02.7516944Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7517014Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7517079Z graph_break [] 2025-12-04T09:33:02.7517205Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7517659Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7517736Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7517860Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7517927Z unimplemented [] 2025-12-04T09:33:02.7518017Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7518086Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7518152Z graph_break [] 2025-12-04T09:33:02.7518277Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7518733Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7518810Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7518933Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7519001Z unimplemented [] 2025-12-04T09:33:02.7519106Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7519178Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7519245Z graph_break [] 2025-12-04T09:33:02.7519369Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7519823Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7519903Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7520028Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7520090Z unimplemented [] 2025-12-04T09:33:02.7520192Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7520261Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7520326Z graph_break [] 2025-12-04T09:33:02.7520450Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7520905Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7520981Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7521104Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7521166Z unimplemented [] 2025-12-04T09:33:02.7521267Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7521417Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7521485Z graph_break [] 2025-12-04T09:33:02.7521611Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7522131Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7522215Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7522346Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7522410Z unimplemented [] 2025-12-04T09:33:02.7522513Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7522584Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7522653Z graph_break [] 2025-12-04T09:33:02.7522777Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7523227Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7523313Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7523438Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7523500Z unimplemented [] 2025-12-04T09:33:02.7523598Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7523668Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7523728Z graph_break [] 2025-12-04T09:33:02.7523858Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7524305Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7524385Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7524510Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7524576Z unimplemented [] 2025-12-04T09:33:02.7524675Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7524747Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7524809Z graph_break [] 2025-12-04T09:33:02.7524942Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7525393Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7525465Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7525588Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7525651Z unimplemented [] 2025-12-04T09:33:02.7525750Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7525819Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7525878Z graph_break [] 2025-12-04T09:33:02.7526006Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7526457Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7526548Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7526675Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7526739Z unimplemented [] 2025-12-04T09:33:02.7526838Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7526905Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7526964Z graph_break [] 2025-12-04T09:33:02.7527093Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7527543Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7527665Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7527826Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7527887Z unimplemented [] 2025-12-04T09:33:02.7527981Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7528117Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7528178Z graph_break [] 2025-12-04T09:33:02.7528307Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7528758Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7528832Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7528954Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7529027Z unimplemented [] 2025-12-04T09:33:02.7529127Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7529198Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7529260Z graph_break [] 2025-12-04T09:33:02.7529389Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7529844Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7529918Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7530041Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7530102Z unimplemented [] 2025-12-04T09:33:02.7530198Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7530267Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7530327Z graph_break [] 2025-12-04T09:33:02.7530455Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7530903Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7530979Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7531110Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7531172Z unimplemented [] 2025-12-04T09:33:02.7531269Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7531340Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7531400Z graph_break [] 2025-12-04T09:33:02.7531531Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7531980Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7532051Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7532181Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7532245Z unimplemented [] 2025-12-04T09:33:02.7532341Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7532413Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7532473Z graph_break [] 2025-12-04T09:33:02.7532604Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7533054Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7533123Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7533266Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7533330Z unimplemented [] 2025-12-04T09:33:02.7533427Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7533498Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7533558Z graph_break [] 2025-12-04T09:33:02.7533687Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7534243Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7534377Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7534509Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7534572Z unimplemented [] 2025-12-04T09:33:02.7534662Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7534742Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7534801Z graph_break [] 2025-12-04T09:33:02.7534931Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7535386Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7535458Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7535593Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7535655Z unimplemented [] 2025-12-04T09:33:02.7535747Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7535830Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7535889Z graph_break [] 2025-12-04T09:33:02.7536024Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7536474Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7536543Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7536677Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7536742Z unimplemented [] 2025-12-04T09:33:02.7536833Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7536911Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7536973Z graph_break [] 2025-12-04T09:33:02.7537105Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7537556Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7537627Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7537761Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7537824Z unimplemented [] 2025-12-04T09:33:02.7537914Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7537989Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7538155Z graph_break [] 2025-12-04T09:33:02.7538304Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7538761Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7538835Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7538964Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7539030Z unimplemented [] 2025-12-04T09:33:02.7539122Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7539198Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7539258Z graph_break [] 2025-12-04T09:33:02.7539380Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7539836Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7539905Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7540032Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7540144Z unimplemented [] 2025-12-04T09:33:02.7540270Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7540345Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7540404Z graph_break [] 2025-12-04T09:33:02.7540596Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7541058Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7541127Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7541270Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7541334Z unimplemented [] 2025-12-04T09:33:02.7541425Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7541502Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7541561Z graph_break [] 2025-12-04T09:33:02.7541683Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7542145Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7542217Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7542345Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7542406Z unimplemented [] 2025-12-04T09:33:02.7542497Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7542573Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7542631Z graph_break [] 2025-12-04T09:33:02.7542756Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7543214Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7543283Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7543416Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7543477Z unimplemented [] 2025-12-04T09:33:02.7543567Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7543647Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7543708Z graph_break [] 2025-12-04T09:33:02.7543831Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7544289Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7544360Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7544490Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7544552Z unimplemented [] 2025-12-04T09:33:02.7544642Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7544719Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7544785Z graph_break [] 2025-12-04T09:33:02.7544909Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7545370Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7545441Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7545640Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7545720Z Traceback (most recent call last): 2025-12-04T09:33:02.7545963Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7546034Z return value(self) 2025-12-04T09:33:02.7546331Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7546419Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7546789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7546896Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7547279Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7547410Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7547503Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7547507Z 2025-12-04T09:33:02.7547588Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7547776Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7547967Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7547977Z 2025-12-04T09:33:02.7548106Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7548408Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7548413Z 2025-12-04T09:33:02.7548580Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7548713Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7548777Z unimplemented [] 2025-12-04T09:33:02.7548880Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7548964Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7549037Z graph_break [] 2025-12-04T09:33:02.7549163Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7549629Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7549708Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7549833Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7549899Z unimplemented [] 2025-12-04T09:33:02.7550000Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7550070Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7550132Z graph_break [] 2025-12-04T09:33:02.7550261Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7550734Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7550819Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7550953Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7551018Z unimplemented [] 2025-12-04T09:33:02.7551122Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7551196Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7551255Z graph_break [] 2025-12-04T09:33:02.7551391Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7551857Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7551934Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7552057Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7552118Z unimplemented [] 2025-12-04T09:33:02.7552213Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7552282Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7552342Z graph_break [] 2025-12-04T09:33:02.7552486Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7552942Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7553098Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7553221Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7553282Z unimplemented [] 2025-12-04T09:33:02.7553464Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7553536Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7553596Z graph_break [] 2025-12-04T09:33:02.7553728Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7554183Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7554256Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7554380Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7554440Z unimplemented [] 2025-12-04T09:33:02.7554534Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7554607Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7554668Z graph_break [] 2025-12-04T09:33:02.7554795Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7555250Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7555324Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7555450Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7555514Z unimplemented [] 2025-12-04T09:33:02.7555611Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7555680Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7555740Z graph_break [] 2025-12-04T09:33:02.7555867Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7556319Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7556398Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7556525Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7556586Z unimplemented [] 2025-12-04T09:33:02.7556695Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7556766Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7556825Z graph_break [] 2025-12-04T09:33:02.7556954Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7557404Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7557475Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7557604Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7557670Z unimplemented [] 2025-12-04T09:33:02.7557766Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7557836Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7557895Z graph_break [] 2025-12-04T09:33:02.7558027Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7558474Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7558545Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7558674Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7558736Z unimplemented [] 2025-12-04T09:33:02.7558832Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7558903Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7558962Z graph_break [] 2025-12-04T09:33:02.7559136Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7559687Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7559759Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7559891Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7559953Z unimplemented [] 2025-12-04T09:33:02.7560050Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7560119Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7560179Z graph_break [] 2025-12-04T09:33:02.7560308Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7560757Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7560829Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7560959Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7561021Z unimplemented [] 2025-12-04T09:33:02.7561114Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7561190Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7561258Z graph_break [] 2025-12-04T09:33:02.7561389Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7561841Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7561910Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7562040Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7562104Z unimplemented [] 2025-12-04T09:33:02.7562195Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7562275Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7562336Z graph_break [] 2025-12-04T09:33:02.7562465Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7562921Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7562992Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7563134Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7563200Z unimplemented [] 2025-12-04T09:33:02.7563301Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7563380Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7563442Z graph_break [] 2025-12-04T09:33:02.7563584Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7564043Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7564119Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7564260Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7564326Z unimplemented [] 2025-12-04T09:33:02.7564421Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7564501Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7564561Z graph_break [] 2025-12-04T09:33:02.7564692Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7565146Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7565216Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7565346Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7565490Z unimplemented [] 2025-12-04T09:33:02.7565586Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7565663Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7565722Z graph_break [] 2025-12-04T09:33:02.7565915Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7566379Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7566448Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7566577Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7566639Z unimplemented [] 2025-12-04T09:33:02.7566730Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7566808Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7566868Z graph_break [] 2025-12-04T09:33:02.7566994Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7567454Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7567525Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7567653Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7567716Z unimplemented [] 2025-12-04T09:33:02.7567807Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7567882Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7567943Z graph_break [] 2025-12-04T09:33:02.7568067Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7568530Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7568602Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7568731Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7568795Z unimplemented [] 2025-12-04T09:33:02.7568889Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7568967Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7569027Z graph_break [] 2025-12-04T09:33:02.7569150Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7569611Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7569680Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7569812Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7569877Z unimplemented [] 2025-12-04T09:33:02.7569969Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7570049Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7570113Z graph_break [] 2025-12-04T09:33:02.7570239Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7570700Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7570783Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7570916Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7570979Z unimplemented [] 2025-12-04T09:33:02.7571070Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7571146Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7571206Z graph_break [] 2025-12-04T09:33:02.7571329Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7571786Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7571937Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7572135Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7572199Z unimplemented [] 2025-12-04T09:33:02.7572292Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7572367Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7572430Z graph_break [] 2025-12-04T09:33:02.7572555Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7573013Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7573085Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7573212Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7573298Z unimplemented [] 2025-12-04T09:33:02.7573393Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7573473Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7573535Z graph_break [] 2025-12-04T09:33:02.7573662Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7574121Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7574194Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7574324Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7574395Z unimplemented [] 2025-12-04T09:33:02.7574486Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7574562Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7574623Z graph_break [] 2025-12-04T09:33:02.7574750Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7575211Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7575283Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7575408Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7575478Z unimplemented [] 2025-12-04T09:33:02.7575571Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7575652Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7575712Z graph_break [] 2025-12-04T09:33:02.7575840Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7576298Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7576371Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7576497Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7576568Z unimplemented [] 2025-12-04T09:33:02.7576661Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7576744Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7576813Z graph_break [] 2025-12-04T09:33:02.7576940Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7577396Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7577466Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7577590Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7577658Z unimplemented [] 2025-12-04T09:33:02.7577749Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7577878Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7577980Z graph_break [] 2025-12-04T09:33:02.7578207Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7578760Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7578833Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7578956Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7579033Z unimplemented [] 2025-12-04T09:33:02.7579127Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7579198Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7579262Z graph_break [] 2025-12-04T09:33:02.7579384Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7579837Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7579911Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7580037Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7580104Z unimplemented [] 2025-12-04T09:33:02.7580197Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7580267Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7580332Z graph_break [] 2025-12-04T09:33:02.7580455Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7580910Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7580979Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7581173Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7581259Z Traceback (most recent call last): 2025-12-04T09:33:02.7581500Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7581568Z return value(self) 2025-12-04T09:33:02.7581874Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7581963Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7582241Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7582345Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7582656Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7582795Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7582886Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7582892Z 2025-12-04T09:33:02.7582968Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7583160Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7583354Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7583357Z 2025-12-04T09:33:02.7583493Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7583793Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7583797Z 2025-12-04T09:33:02.7583958Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7584094Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7584158Z unimplemented [] 2025-12-04T09:33:02.7584260Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7584332Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7584480Z graph_break [] 2025-12-04T09:33:02.7584614Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7585143Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7585217Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7585347Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7585409Z unimplemented [] 2025-12-04T09:33:02.7585507Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7585579Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7585641Z graph_break [] 2025-12-04T09:33:02.7585771Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7586224Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7586297Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7586434Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7586498Z unimplemented [] 2025-12-04T09:33:02.7586604Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7586677Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7586738Z graph_break [] 2025-12-04T09:33:02.7586870Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7587343Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7587414Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7587544Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7587607Z unimplemented [] 2025-12-04T09:33:02.7587709Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7587785Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7587846Z graph_break [] 2025-12-04T09:33:02.7587979Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7588438Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7588508Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7588639Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7588702Z unimplemented [] 2025-12-04T09:33:02.7588796Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7588874Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7588935Z graph_break [] 2025-12-04T09:33:02.7589068Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7589522Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7589594Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7589728Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7589793Z unimplemented [] 2025-12-04T09:33:02.7589889Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7589968Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7590030Z graph_break [] 2025-12-04T09:33:02.7590162Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7590618Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7590691Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7590882Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7590983Z unimplemented [] 2025-12-04T09:33:02.7591077Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7591158Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7591283Z graph_break [] 2025-12-04T09:33:02.7591415Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7591882Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7591951Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7592079Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7592143Z unimplemented [] 2025-12-04T09:33:02.7592233Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7592308Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7592371Z graph_break [] 2025-12-04T09:33:02.7592497Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7592959Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7593030Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7593159Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7593220Z unimplemented [] 2025-12-04T09:33:02.7593310Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7593386Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7593447Z graph_break [] 2025-12-04T09:33:02.7593571Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7594034Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7594113Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7594241Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7594304Z unimplemented [] 2025-12-04T09:33:02.7594397Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7594476Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7594536Z graph_break [] 2025-12-04T09:33:02.7594657Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7595117Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7595185Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7595314Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7595378Z unimplemented [] 2025-12-04T09:33:02.7595473Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7595553Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7595612Z graph_break [] 2025-12-04T09:33:02.7595736Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7596201Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7596271Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7596403Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7596466Z unimplemented [] 2025-12-04T09:33:02.7596559Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7596638Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7596699Z graph_break [] 2025-12-04T09:33:02.7596824Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7597334Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7597441Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7597661Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7597724Z unimplemented [] 2025-12-04T09:33:02.7597815Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7597894Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7597953Z graph_break [] 2025-12-04T09:33:02.7598076Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7598536Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7598606Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7598736Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7598804Z unimplemented [] 2025-12-04T09:33:02.7598906Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7598986Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7599051Z graph_break [] 2025-12-04T09:33:02.7599175Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7599635Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7599706Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7599831Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7599900Z unimplemented [] 2025-12-04T09:33:02.7599991Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7600077Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7600139Z graph_break [] 2025-12-04T09:33:02.7600266Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7600730Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7600801Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7600923Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7600995Z unimplemented [] 2025-12-04T09:33:02.7601086Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7601164Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7601226Z graph_break [] 2025-12-04T09:33:02.7601348Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7601807Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7601882Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7602005Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7602075Z unimplemented [] 2025-12-04T09:33:02.7602170Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7602250Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7602311Z graph_break [] 2025-12-04T09:33:02.7602436Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7602893Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7602961Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7603086Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7603155Z unimplemented [] 2025-12-04T09:33:02.7603248Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7603416Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7603485Z graph_break [] 2025-12-04T09:33:02.7603609Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7604139Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7604215Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7604341Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7604410Z unimplemented [] 2025-12-04T09:33:02.7604499Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7604567Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7604633Z graph_break [] 2025-12-04T09:33:02.7604756Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7605212Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7605287Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7605413Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7605481Z unimplemented [] 2025-12-04T09:33:02.7605570Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7605641Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7605708Z graph_break [] 2025-12-04T09:33:02.7605830Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7606292Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7606366Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7606491Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7606563Z unimplemented [] 2025-12-04T09:33:02.7606653Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7606722Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7606787Z graph_break [] 2025-12-04T09:33:02.7606914Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7607369Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7607439Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7607560Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7607628Z unimplemented [] 2025-12-04T09:33:02.7607719Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7607789Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7607854Z graph_break [] 2025-12-04T09:33:02.7607979Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7608441Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7608511Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7608635Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7608702Z unimplemented [] 2025-12-04T09:33:02.7608792Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7608863Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7608930Z graph_break [] 2025-12-04T09:33:02.7609054Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7609509Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7609662Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7609784Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7609856Z unimplemented [] 2025-12-04T09:33:02.7610016Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7610087Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7610152Z graph_break [] 2025-12-04T09:33:02.7610274Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7610726Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7610801Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7610925Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7610993Z unimplemented [] 2025-12-04T09:33:02.7611083Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7611157Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7611224Z graph_break [] 2025-12-04T09:33:02.7611348Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7611802Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7611877Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7612275Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7612380Z unimplemented [] 2025-12-04T09:33:02.7612486Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7612560Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7612628Z graph_break [] 2025-12-04T09:33:02.7612762Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7613244Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7613333Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7613470Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7613541Z unimplemented [] 2025-12-04T09:33:02.7613638Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7613710Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7613776Z graph_break [] 2025-12-04T09:33:02.7613902Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7614366Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7619136Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7619329Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7619410Z unimplemented [] 2025-12-04T09:33:02.7619519Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7619601Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7619671Z graph_break [] 2025-12-04T09:33:02.7619817Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7620317Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7620413Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7620550Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7620618Z unimplemented [] 2025-12-04T09:33:02.7620730Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7620807Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7620869Z graph_break [] 2025-12-04T09:33:02.7621126Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7621788Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7621873Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7622002Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7622070Z unimplemented [] 2025-12-04T09:33:02.7622177Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7622253Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7622316Z graph_break [] 2025-12-04T09:33:02.7622462Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7622936Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7623023Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7623224Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7623305Z Traceback (most recent call last): 2025-12-04T09:33:02.7623562Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7623631Z return value(self) 2025-12-04T09:33:02.7623937Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7624047Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7624326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7624439Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7624757Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7624890Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7624991Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7624996Z 2025-12-04T09:33:02.7625074Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7625274Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7625471Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7625475Z 2025-12-04T09:33:02.7625609Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7625919Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7625923Z 2025-12-04T09:33:02.7626087Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7626225Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7626292Z unimplemented [] 2025-12-04T09:33:02.7626393Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7626473Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7626536Z graph_break [] 2025-12-04T09:33:02.7626674Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7627155Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7627231Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7627365Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7627430Z unimplemented [] 2025-12-04T09:33:02.7627526Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7627604Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7627669Z graph_break [] 2025-12-04T09:33:02.7627794Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7628358Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7628494Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7628626Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7628696Z unimplemented [] 2025-12-04T09:33:02.7628790Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7628868Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7628932Z graph_break [] 2025-12-04T09:33:02.7629059Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7629519Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7629590Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7629724Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7629794Z unimplemented [] 2025-12-04T09:33:02.7629886Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7629966Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7630028Z graph_break [] 2025-12-04T09:33:02.7630156Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7630629Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7630699Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7630825Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7630894Z unimplemented [] 2025-12-04T09:33:02.7630986Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7631068Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7631135Z graph_break [] 2025-12-04T09:33:02.7631260Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7631722Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7631793Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7631919Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7631988Z unimplemented [] 2025-12-04T09:33:02.7632082Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7632155Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7632225Z graph_break [] 2025-12-04T09:33:02.7632350Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7632814Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7632889Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7633012Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7633096Z unimplemented [] 2025-12-04T09:33:02.7633192Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7633264Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7633333Z graph_break [] 2025-12-04T09:33:02.7633458Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7633922Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7633993Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7634119Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7634195Z unimplemented [] 2025-12-04T09:33:02.7634391Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7634464Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7634536Z graph_break [] 2025-12-04T09:33:02.7634730Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7635195Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7635268Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7635393Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7635463Z unimplemented [] 2025-12-04T09:33:02.7635557Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7635627Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7635696Z graph_break [] 2025-12-04T09:33:02.7635824Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7636291Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7636362Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7636489Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7636560Z unimplemented [] 2025-12-04T09:33:02.7636652Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7636727Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7636796Z graph_break [] 2025-12-04T09:33:02.7636922Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7637394Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7637465Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7637595Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7637667Z unimplemented [] 2025-12-04T09:33:02.7637759Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7637831Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7637900Z graph_break [] 2025-12-04T09:33:02.7638027Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7638481Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7638564Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7638688Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7638757Z unimplemented [] 2025-12-04T09:33:02.7638848Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7638920Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7638992Z graph_break [] 2025-12-04T09:33:02.7639113Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7639568Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7639651Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7639778Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7639840Z unimplemented [] 2025-12-04T09:33:02.7639939Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7640009Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7640070Z graph_break [] 2025-12-04T09:33:02.7640203Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7640655Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7640832Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7640958Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7641022Z unimplemented [] 2025-12-04T09:33:02.7641189Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7641264Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7641329Z graph_break [] 2025-12-04T09:33:02.7641463Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7641914Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7641991Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7642116Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7642184Z unimplemented [] 2025-12-04T09:33:02.7642287Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7642361Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7642422Z graph_break [] 2025-12-04T09:33:02.7642567Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7643030Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7643109Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7643235Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7643299Z unimplemented [] 2025-12-04T09:33:02.7643399Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7643472Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7643535Z graph_break [] 2025-12-04T09:33:02.7643667Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7644121Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7644200Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7644330Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7644395Z unimplemented [] 2025-12-04T09:33:02.7644495Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7644568Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7644630Z graph_break [] 2025-12-04T09:33:02.7644759Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7645220Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7645291Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7645424Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7645488Z unimplemented [] 2025-12-04T09:33:02.7645586Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7645656Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7645718Z graph_break [] 2025-12-04T09:33:02.7645849Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7646303Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7646370Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7646500Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7646565Z unimplemented [] 2025-12-04T09:33:02.7646669Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7646740Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7646853Z graph_break [] 2025-12-04T09:33:02.7647022Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7647562Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7647638Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7647775Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7647838Z unimplemented [] 2025-12-04T09:33:02.7647938Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7648010Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7648069Z graph_break [] 2025-12-04T09:33:02.7648212Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7648679Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7648757Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7648899Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7648962Z unimplemented [] 2025-12-04T09:33:02.7649070Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7649145Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7649205Z graph_break [] 2025-12-04T09:33:02.7649340Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7649807Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7649879Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7650014Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7650078Z unimplemented [] 2025-12-04T09:33:02.7650178Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7650258Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7650330Z graph_break [] 2025-12-04T09:33:02.7650463Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7650924Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7650995Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7651128Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7651191Z unimplemented [] 2025-12-04T09:33:02.7651286Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7651363Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7651425Z graph_break [] 2025-12-04T09:33:02.7651557Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7652013Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7652087Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7652221Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7652284Z unimplemented [] 2025-12-04T09:33:02.7652378Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7652457Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7652518Z graph_break [] 2025-12-04T09:33:02.7652649Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7653103Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7653174Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7653306Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7653494Z unimplemented [] 2025-12-04T09:33:02.7653589Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7653667Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7653815Z graph_break [] 2025-12-04T09:33:02.7653944Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7654403Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7654475Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7654612Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7654678Z unimplemented [] 2025-12-04T09:33:02.7654776Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7654856Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7654919Z graph_break [] 2025-12-04T09:33:02.7655057Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7655556Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7655630Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7655770Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7655835Z unimplemented [] 2025-12-04T09:33:02.7655935Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7656015Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7656076Z graph_break [] 2025-12-04T09:33:02.7656204Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7656685Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7656764Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7656901Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7656964Z unimplemented [] 2025-12-04T09:33:02.7657068Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7657149Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7657210Z graph_break [] 2025-12-04T09:33:02.7657337Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7657807Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7657878Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7658010Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7658178Z unimplemented [] 2025-12-04T09:33:02.7658276Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7658358Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7658419Z graph_break [] 2025-12-04T09:33:02.7658545Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7659007Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7659078Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7659207Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7659269Z unimplemented [] 2025-12-04T09:33:02.7659362Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7659438Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7659498Z graph_break [] 2025-12-04T09:33:02.7659621Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7660081Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7660242Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7660442Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7660508Z unimplemented [] 2025-12-04T09:33:02.7660601Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7660677Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7660737Z graph_break [] 2025-12-04T09:33:02.7660862Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7661320Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7661390Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7661586Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7661672Z Traceback (most recent call last): 2025-12-04T09:33:02.7661912Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7661986Z return value(self) 2025-12-04T09:33:02.7662286Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7662377Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7662655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7662762Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7663082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7663215Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7663307Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7663314Z 2025-12-04T09:33:02.7663396Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7663586Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7663784Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7663788Z 2025-12-04T09:33:02.7663927Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7664224Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7664229Z 2025-12-04T09:33:02.7664395Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7664525Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7664590Z unimplemented [] 2025-12-04T09:33:02.7664692Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7664769Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7664832Z graph_break [] 2025-12-04T09:33:02.7664966Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7665433Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7665512Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7665638Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7665702Z unimplemented [] 2025-12-04T09:33:02.7665802Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7665875Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7665936Z graph_break [] 2025-12-04T09:33:02.7666075Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7666548Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7666713Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7666910Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7666975Z unimplemented [] 2025-12-04T09:33:02.7667086Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7667162Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7667224Z graph_break [] 2025-12-04T09:33:02.7667364Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7667836Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7667911Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7668048Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7668115Z unimplemented [] 2025-12-04T09:33:02.7668219Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7668291Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7668353Z graph_break [] 2025-12-04T09:33:02.7668495Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7668968Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7669048Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7669182Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7669247Z unimplemented [] 2025-12-04T09:33:02.7669348Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7669420Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7669484Z graph_break [] 2025-12-04T09:33:02.7669623Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7670094Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7670172Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7670309Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7670374Z unimplemented [] 2025-12-04T09:33:02.7670476Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7670549Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7670611Z graph_break [] 2025-12-04T09:33:02.7670753Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7671230Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7671309Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7671446Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7671522Z unimplemented [] 2025-12-04T09:33:02.7671629Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7671704Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7671768Z graph_break [] 2025-12-04T09:33:02.7671907Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7672378Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7672448Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7672585Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7672649Z unimplemented [] 2025-12-04T09:33:02.7672746Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7672816Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7672957Z graph_break [] 2025-12-04T09:33:02.7673096Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7673630Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7673701Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7673833Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7673898Z unimplemented [] 2025-12-04T09:33:02.7673996Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7674067Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7674129Z graph_break [] 2025-12-04T09:33:02.7674261Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7674714Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7674795Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7674923Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7674990Z unimplemented [] 2025-12-04T09:33:02.7675088Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7675159Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7675230Z graph_break [] 2025-12-04T09:33:02.7675364Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7675818Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7675891Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7676015Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7676081Z unimplemented [] 2025-12-04T09:33:02.7676179Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7676249Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7676309Z graph_break [] 2025-12-04T09:33:02.7676444Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7676894Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7676968Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7677090Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7677152Z unimplemented [] 2025-12-04T09:33:02.7677249Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7677320Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7677381Z graph_break [] 2025-12-04T09:33:02.7677510Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7677965Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7678042Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7678167Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7678230Z unimplemented [] 2025-12-04T09:33:02.7678332Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7678402Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7678463Z graph_break [] 2025-12-04T09:33:02.7678595Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7679046Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7679119Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7679325Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7679389Z unimplemented [] 2025-12-04T09:33:02.7679488Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7680186Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7680262Z graph_break [] 2025-12-04T09:33:02.7680407Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7680873Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7680952Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7681086Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7681152Z unimplemented [] 2025-12-04T09:33:02.7681260Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7681335Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7681400Z graph_break [] 2025-12-04T09:33:02.7681542Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7682014Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7682091Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7682234Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7682299Z unimplemented [] 2025-12-04T09:33:02.7682403Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7682476Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7682538Z graph_break [] 2025-12-04T09:33:02.7682678Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7683148Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7683226Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7683366Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7683433Z unimplemented [] 2025-12-04T09:33:02.7683539Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7683612Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7683675Z graph_break [] 2025-12-04T09:33:02.7683808Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7684273Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7684345Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7684478Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7684542Z unimplemented [] 2025-12-04T09:33:02.7684649Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7684723Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7684785Z graph_break [] 2025-12-04T09:33:02.7684923Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7685381Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7685453Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7685589Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7685653Z unimplemented [] 2025-12-04T09:33:02.7685748Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7685827Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7685891Z graph_break [] 2025-12-04T09:33:02.7686023Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7686589Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7686665Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7686880Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7686949Z unimplemented [] 2025-12-04T09:33:02.7687054Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7687138Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7687204Z graph_break [] 2025-12-04T09:33:02.7687343Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7687802Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7687875Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7688012Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7688082Z unimplemented [] 2025-12-04T09:33:02.7688179Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7688265Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7688332Z graph_break [] 2025-12-04T09:33:02.7688466Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7688932Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7689004Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7689140Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7689204Z unimplemented [] 2025-12-04T09:33:02.7689299Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7689377Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7689443Z graph_break [] 2025-12-04T09:33:02.7689569Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7690030Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7690102Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7690232Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7690297Z unimplemented [] 2025-12-04T09:33:02.7690390Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7690469Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7690531Z graph_break [] 2025-12-04T09:33:02.7690655Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7691116Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7691190Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7691324Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7691387Z unimplemented [] 2025-12-04T09:33:02.7691483Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7691561Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7691622Z graph_break [] 2025-12-04T09:33:02.7691746Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7692205Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7692274Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7692407Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7692471Z unimplemented [] 2025-12-04T09:33:02.7692611Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7692725Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7692787Z graph_break [] 2025-12-04T09:33:02.7692910Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7693439Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7693511Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7693641Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7693704Z unimplemented [] 2025-12-04T09:33:02.7693799Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7693879Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7693942Z graph_break [] 2025-12-04T09:33:02.7694066Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7694535Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7694610Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7694744Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7694808Z unimplemented [] 2025-12-04T09:33:02.7694911Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7694989Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7695054Z graph_break [] 2025-12-04T09:33:02.7695180Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7695640Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7695710Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7695843Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7695911Z unimplemented [] 2025-12-04T09:33:02.7696004Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7696082Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7696147Z graph_break [] 2025-12-04T09:33:02.7696272Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7696734Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7696804Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7696935Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7696999Z unimplemented [] 2025-12-04T09:33:02.7697093Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7697173Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7697237Z graph_break [] 2025-12-04T09:33:02.7697366Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7697831Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7697902Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7698027Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7698204Z unimplemented [] 2025-12-04T09:33:02.7698301Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7698378Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7698440Z graph_break [] 2025-12-04T09:33:02.7698567Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7699028Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7699188Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7699314Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7699386Z unimplemented [] 2025-12-04T09:33:02.7699544Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7699627Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7699691Z graph_break [] 2025-12-04T09:33:02.7699817Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7700276Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7700345Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7700471Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7700540Z unimplemented [] 2025-12-04T09:33:02.7700635Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7700725Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7700791Z graph_break [] 2025-12-04T09:33:02.7700919Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7701386Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7701459Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7701655Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7701741Z Traceback (most recent call last): 2025-12-04T09:33:02.7701986Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7702059Z return value(self) 2025-12-04T09:33:02.7702359Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7702457Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7702737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7702849Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7703170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7703306Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7703398Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7703402Z 2025-12-04T09:33:02.7703485Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7703674Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7703864Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7703868Z 2025-12-04T09:33:02.7704009Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7704314Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7704318Z 2025-12-04T09:33:02.7704491Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7704623Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7704687Z unimplemented [] 2025-12-04T09:33:02.7704793Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7704867Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7704930Z graph_break [] 2025-12-04T09:33:02.7705070Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7705529Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7705708Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7705834Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7705896Z unimplemented [] 2025-12-04T09:33:02.7706103Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7706178Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7706240Z graph_break [] 2025-12-04T09:33:02.7706372Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7706826Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7706900Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7707026Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7707092Z unimplemented [] 2025-12-04T09:33:02.7707189Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7707267Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7707328Z graph_break [] 2025-12-04T09:33:02.7707460Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7707917Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7707994Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7708120Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7708184Z unimplemented [] 2025-12-04T09:33:02.7708286Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7708359Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7708419Z graph_break [] 2025-12-04T09:33:02.7708554Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7709007Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7709082Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7709218Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7709283Z unimplemented [] 2025-12-04T09:33:02.7709380Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7709454Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7709516Z graph_break [] 2025-12-04T09:33:02.7709651Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7710103Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7710174Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7710307Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7710375Z unimplemented [] 2025-12-04T09:33:02.7710475Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7710550Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7710624Z graph_break [] 2025-12-04T09:33:02.7710760Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7711215Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7711286Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7711420Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7711485Z unimplemented [] 2025-12-04T09:33:02.7711584Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7711657Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7711719Z graph_break [] 2025-12-04T09:33:02.7711851Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7712801Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7713030Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7713185Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7713255Z unimplemented [] 2025-12-04T09:33:02.7713361Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7713448Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7713512Z graph_break [] 2025-12-04T09:33:02.7713653Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7714128Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7714205Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7714359Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7714427Z unimplemented [] 2025-12-04T09:33:02.7714530Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7714615Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7714680Z graph_break [] 2025-12-04T09:33:02.7714818Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7715280Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7715355Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7715487Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7715555Z unimplemented [] 2025-12-04T09:33:02.7715654Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7715741Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7715805Z graph_break [] 2025-12-04T09:33:02.7715938Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7716398Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7716472Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7716602Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7716666Z unimplemented [] 2025-12-04T09:33:02.7716761Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7716841Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7716901Z graph_break [] 2025-12-04T09:33:02.7717028Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7717485Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7717560Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7717691Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7717758Z unimplemented [] 2025-12-04T09:33:02.7717853Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7717932Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7717995Z graph_break [] 2025-12-04T09:33:02.7718121Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7718581Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7718652Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7718784Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7718971Z unimplemented [] 2025-12-04T09:33:02.7719071Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7719147Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7719212Z graph_break [] 2025-12-04T09:33:02.7719408Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7719871Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7719942Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7720071Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7720137Z unimplemented [] 2025-12-04T09:33:02.7720237Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7720314Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7720377Z graph_break [] 2025-12-04T09:33:02.7720505Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7720987Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7721062Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7721204Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7721270Z unimplemented [] 2025-12-04T09:33:02.7721366Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7721446Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7721508Z graph_break [] 2025-12-04T09:33:02.7721636Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7722101Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7722173Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7722310Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7722374Z unimplemented [] 2025-12-04T09:33:02.7722468Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7722547Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7722610Z graph_break [] 2025-12-04T09:33:02.7722738Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7723199Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7723272Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7723407Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7723471Z unimplemented [] 2025-12-04T09:33:02.7723566Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7723644Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7723709Z graph_break [] 2025-12-04T09:33:02.7723835Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7724300Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7724371Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7724505Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7724570Z unimplemented [] 2025-12-04T09:33:02.7724662Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7724741Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7724803Z graph_break [] 2025-12-04T09:33:02.7724930Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7725389Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7725539Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7725670Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7725806Z unimplemented [] 2025-12-04T09:33:02.7725902Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7725983Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7726044Z graph_break [] 2025-12-04T09:33:02.7726183Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7726646Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7726717Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7726843Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7726917Z unimplemented [] 2025-12-04T09:33:02.7727013Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7727092Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7727155Z graph_break [] 2025-12-04T09:33:02.7727285Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7727747Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7727819Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7727945Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7728018Z unimplemented [] 2025-12-04T09:33:02.7728113Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7728196Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7728256Z graph_break [] 2025-12-04T09:33:02.7728383Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7728848Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7728925Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7729050Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7729120Z unimplemented [] 2025-12-04T09:33:02.7729213Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7729291Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7729351Z graph_break [] 2025-12-04T09:33:02.7729477Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7729939Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7730011Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7730140Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7730212Z unimplemented [] 2025-12-04T09:33:02.7730306Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7730389Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7730452Z graph_break [] 2025-12-04T09:33:02.7730579Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7731040Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7731111Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7731239Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7731310Z unimplemented [] 2025-12-04T09:33:02.7731401Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7731478Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7731636Z graph_break [] 2025-12-04T09:33:02.7731761Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7732285Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7732358Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7732485Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7732553Z unimplemented [] 2025-12-04T09:33:02.7732644Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7732718Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7732787Z graph_break [] 2025-12-04T09:33:02.7732912Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7733381Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7733455Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7733582Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7733654Z unimplemented [] 2025-12-04T09:33:02.7733749Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7733821Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7733887Z graph_break [] 2025-12-04T09:33:02.7734012Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7734476Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7734546Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7734670Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7734739Z unimplemented [] 2025-12-04T09:33:02.7734835Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7734906Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7734973Z graph_break [] 2025-12-04T09:33:02.7735102Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7735560Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7735631Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7735759Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7735830Z unimplemented [] 2025-12-04T09:33:02.7735922Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7735992Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7736060Z graph_break [] 2025-12-04T09:33:02.7736186Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7736647Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7736718Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7736845Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7736915Z unimplemented [] 2025-12-04T09:33:02.7737008Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7737079Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7737146Z graph_break [] 2025-12-04T09:33:02.7737272Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7737723Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7737810Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7737986Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7738188Z unimplemented [] 2025-12-04T09:33:02.7738284Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7738359Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7738497Z graph_break [] 2025-12-04T09:33:02.7738627Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7739078Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7739157Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7739282Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7739354Z unimplemented [] 2025-12-04T09:33:02.7739445Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7739517Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7742247Z graph_break [] 2025-12-04T09:33:02.7742434Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7742926Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7743013Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7743151Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7743217Z unimplemented [] 2025-12-04T09:33:02.7743331Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7743407Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7743476Z graph_break [] 2025-12-04T09:33:02.7743617Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7744121Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7744198Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7744330Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7744394Z unimplemented [] 2025-12-04T09:33:02.7744493Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7744570Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7744630Z graph_break [] 2025-12-04T09:33:02.7744753Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7745212Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7745282Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7745482Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7745561Z Traceback (most recent call last): 2025-12-04T09:33:02.7745812Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7745884Z return value(self) 2025-12-04T09:33:02.7746181Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7746270Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7746556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7746661Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7746987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7747118Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7747209Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7747214Z 2025-12-04T09:33:02.7747295Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7747596Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7747792Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7747833Z 2025-12-04T09:33:02.7747967Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7748273Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7748277Z 2025-12-04T09:33:02.7748448Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7748584Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7748655Z unimplemented [] 2025-12-04T09:33:02.7748753Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7748827Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7748895Z graph_break [] 2025-12-04T09:33:02.7749098Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7749590Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7749673Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7749810Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7749881Z unimplemented [] 2025-12-04T09:33:02.7749980Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7750053Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7750118Z graph_break [] 2025-12-04T09:33:02.7750246Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7750707Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7750796Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7750920Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7750983Z unimplemented [] 2025-12-04T09:33:02.7751085Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7751157Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7751226Z graph_break [] 2025-12-04T09:33:02.7751352Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7751812Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7751889Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7752013Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7752076Z unimplemented [] 2025-12-04T09:33:02.7752175Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7752251Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7752317Z graph_break [] 2025-12-04T09:33:02.7752441Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7752895Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7752970Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7753092Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7753153Z unimplemented [] 2025-12-04T09:33:02.7753249Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7753321Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7753389Z graph_break [] 2025-12-04T09:33:02.7753513Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7753975Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7754130Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7754309Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7754373Z unimplemented [] 2025-12-04T09:33:02.7754473Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7754544Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7754605Z graph_break [] 2025-12-04T09:33:02.7754738Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7755211Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7755288Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7755414Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7755533Z unimplemented [] 2025-12-04T09:33:02.7755634Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7755703Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7755762Z graph_break [] 2025-12-04T09:33:02.7755893Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7756350Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7756423Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7756544Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7756605Z unimplemented [] 2025-12-04T09:33:02.7756701Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7756771Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7756832Z graph_break [] 2025-12-04T09:33:02.7756960Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7757419Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7757494Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7757632Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7757697Z unimplemented [] 2025-12-04T09:33:02.7757799Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7757881Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7757944Z graph_break [] 2025-12-04T09:33:02.7758083Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7758575Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7758658Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7758781Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7758844Z unimplemented [] 2025-12-04T09:33:02.7758946Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7759015Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7759074Z graph_break [] 2025-12-04T09:33:02.7759210Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7759688Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7759764Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7759895Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7759957Z unimplemented [] 2025-12-04T09:33:02.7760057Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7760207Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7760268Z graph_break [] 2025-12-04T09:33:02.7760407Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7760915Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7761002Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7761137Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7761199Z unimplemented [] 2025-12-04T09:33:02.7761297Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7761367Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7761428Z graph_break [] 2025-12-04T09:33:02.7761566Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7762082Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7762157Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7762300Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7762364Z unimplemented [] 2025-12-04T09:33:02.7762460Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7762533Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7762594Z graph_break [] 2025-12-04T09:33:02.7762730Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7763205Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7763274Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7763410Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7763478Z unimplemented [] 2025-12-04T09:33:02.7763576Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7763646Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7763717Z graph_break [] 2025-12-04T09:33:02.7763859Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7764333Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7764401Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7764539Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7764601Z unimplemented [] 2025-12-04T09:33:02.7764700Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7764771Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7764830Z graph_break [] 2025-12-04T09:33:02.7764972Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7765454Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7765526Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7765665Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7765728Z unimplemented [] 2025-12-04T09:33:02.7765821Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7765901Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7765962Z graph_break [] 2025-12-04T09:33:02.7766101Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7766577Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7766697Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7766868Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7766935Z unimplemented [] 2025-12-04T09:33:02.7767027Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7767137Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7767199Z graph_break [] 2025-12-04T09:33:02.7767334Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7767807Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7767877Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7768011Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7768072Z unimplemented [] 2025-12-04T09:33:02.7768164Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7768278Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7768342Z graph_break [] 2025-12-04T09:33:02.7768476Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7768952Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7769021Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7769170Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7769232Z unimplemented [] 2025-12-04T09:33:02.7769325Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7769405Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7769465Z graph_break [] 2025-12-04T09:33:02.7769596Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7770081Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7770153Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7770287Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7770350Z unimplemented [] 2025-12-04T09:33:02.7770442Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7770523Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7770582Z graph_break [] 2025-12-04T09:33:02.7770712Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7771193Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7771262Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7771398Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7771466Z unimplemented [] 2025-12-04T09:33:02.7771558Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7771634Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7771693Z graph_break [] 2025-12-04T09:33:02.7771828Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7772315Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7772384Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7772521Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7772583Z unimplemented [] 2025-12-04T09:33:02.7772677Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7772753Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7772813Z graph_break [] 2025-12-04T09:33:02.7772947Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7773507Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7773611Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7773748Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7773811Z unimplemented [] 2025-12-04T09:33:02.7773904Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7773978Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7774039Z graph_break [] 2025-12-04T09:33:02.7774171Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7774649Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7774717Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7774890Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7774955Z unimplemented [] 2025-12-04T09:33:02.7775047Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7775137Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7775198Z graph_break [] 2025-12-04T09:33:02.7775323Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7775784Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7775855Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7775984Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7776048Z unimplemented [] 2025-12-04T09:33:02.7776140Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7776215Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7776278Z graph_break [] 2025-12-04T09:33:02.7776401Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7776862Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7776932Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7777064Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7777127Z unimplemented [] 2025-12-04T09:33:02.7777219Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7777298Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7777360Z graph_break [] 2025-12-04T09:33:02.7777484Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7777946Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7778021Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7778268Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7778342Z unimplemented [] 2025-12-04T09:33:02.7778434Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7778511Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7778571Z graph_break [] 2025-12-04T09:33:02.7778695Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7779151Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7779219Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7779343Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7779461Z unimplemented [] 2025-12-04T09:33:02.7779607Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7779683Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7779745Z graph_break [] 2025-12-04T09:33:02.7779902Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7780367Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7780437Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7780560Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7780629Z unimplemented [] 2025-12-04T09:33:02.7780720Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7780796Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7780855Z graph_break [] 2025-12-04T09:33:02.7780978Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7781478Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7781552Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7781676Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7781743Z unimplemented [] 2025-12-04T09:33:02.7781833Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7781903Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7781968Z graph_break [] 2025-12-04T09:33:02.7782091Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7782552Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7782628Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7782757Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7782826Z unimplemented [] 2025-12-04T09:33:02.7782916Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7782988Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7783054Z graph_break [] 2025-12-04T09:33:02.7783177Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7783632Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7783701Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7783825Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7783892Z unimplemented [] 2025-12-04T09:33:02.7783981Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7784062Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7784128Z graph_break [] 2025-12-04T09:33:02.7784252Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7784715Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7784785Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7784915Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7784977Z unimplemented [] 2025-12-04T09:33:02.7785068Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7785145Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7785207Z graph_break [] 2025-12-04T09:33:02.7785331Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7785789Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7785938Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7786071Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7786170Z unimplemented [] 2025-12-04T09:33:02.7786264Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7786343Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7786406Z graph_break [] 2025-12-04T09:33:02.7786527Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7786987Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7787057Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7787258Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7787335Z Traceback (most recent call last): 2025-12-04T09:33:02.7787618Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7787690Z return value(self) 2025-12-04T09:33:02.7787992Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7788083Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7788370Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7788475Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7788809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7788948Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7789042Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7789046Z 2025-12-04T09:33:02.7789129Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7789323Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7789521Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7789533Z 2025-12-04T09:33:02.7789666Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7789977Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7789981Z 2025-12-04T09:33:02.7790152Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7790289Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7790351Z unimplemented [] 2025-12-04T09:33:02.7790454Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7790525Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7790592Z graph_break [] 2025-12-04T09:33:02.7790732Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7791220Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7791295Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7791427Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7791489Z unimplemented [] 2025-12-04T09:33:02.7791588Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7791659Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7791724Z graph_break [] 2025-12-04T09:33:02.7791853Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7792326Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7792483Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7792615Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7792677Z unimplemented [] 2025-12-04T09:33:02.7792826Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7792899Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7792960Z graph_break [] 2025-12-04T09:33:02.7793100Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7793583Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7793658Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7793789Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7793852Z unimplemented [] 2025-12-04T09:33:02.7793956Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7794071Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7794134Z graph_break [] 2025-12-04T09:33:02.7794271Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7794748Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7794825Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7794955Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7795017Z unimplemented [] 2025-12-04T09:33:02.7795118Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7795189Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7795249Z graph_break [] 2025-12-04T09:33:02.7795388Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7795863Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7795941Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7796078Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7796141Z unimplemented [] 2025-12-04T09:33:02.7796242Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7796312Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7796372Z graph_break [] 2025-12-04T09:33:02.7796510Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7796986Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7797062Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7797196Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7797261Z unimplemented [] 2025-12-04T09:33:02.7797362Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7797435Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7797498Z graph_break [] 2025-12-04T09:33:02.7797651Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7798126Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7798201Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7798333Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7798395Z unimplemented [] 2025-12-04T09:33:02.7798496Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7798567Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7798626Z graph_break [] 2025-12-04T09:33:02.7798811Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7799356Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7799435Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7799567Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7799629Z unimplemented [] 2025-12-04T09:33:02.7799730Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7799800Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7799864Z graph_break [] 2025-12-04T09:33:02.7800001Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7800475Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7800596Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7800731Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7800795Z unimplemented [] 2025-12-04T09:33:02.7800896Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7800968Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7801043Z graph_break [] 2025-12-04T09:33:02.7801184Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7801661Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7801728Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7801866Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7801928Z unimplemented [] 2025-12-04T09:33:02.7802026Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7802104Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7802163Z graph_break [] 2025-12-04T09:33:02.7802301Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7802775Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7802843Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7802980Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7803043Z unimplemented [] 2025-12-04T09:33:02.7803142Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7803211Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7803271Z graph_break [] 2025-12-04T09:33:02.7803406Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7803880Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7803953Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7804092Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7804154Z unimplemented [] 2025-12-04T09:33:02.7804254Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7804322Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7804382Z graph_break [] 2025-12-04T09:33:02.7804521Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7804989Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7805055Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7805192Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7805362Z unimplemented [] 2025-12-04T09:33:02.7805457Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7805533Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7805592Z graph_break [] 2025-12-04T09:33:02.7805764Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7806243Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7806311Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7806447Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7806512Z unimplemented [] 2025-12-04T09:33:02.7806605Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7806681Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7806742Z graph_break [] 2025-12-04T09:33:02.7806916Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7807397Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7807470Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7807609Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7807671Z unimplemented [] 2025-12-04T09:33:02.7807763Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7807839Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7807900Z graph_break [] 2025-12-04T09:33:02.7808037Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7808511Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7808585Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7808725Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7808787Z unimplemented [] 2025-12-04T09:33:02.7808886Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7808971Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7809032Z graph_break [] 2025-12-04T09:33:02.7809164Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7809642Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7809711Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7809845Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7809912Z unimplemented [] 2025-12-04T09:33:02.7810006Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7810089Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7810151Z graph_break [] 2025-12-04T09:33:02.7810294Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7810779Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7810849Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7810986Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7811048Z unimplemented [] 2025-12-04T09:33:02.7811142Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7811219Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7811281Z graph_break [] 2025-12-04T09:33:02.7811412Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7811896Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7812495Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7812715Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7812788Z unimplemented [] 2025-12-04T09:33:02.7812893Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7812976Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7813043Z graph_break [] 2025-12-04T09:33:02.7813179Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7813673Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7813750Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7813887Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7814021Z unimplemented [] 2025-12-04T09:33:02.7814132Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7814213Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7814278Z graph_break [] 2025-12-04T09:33:02.7814411Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7814891Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7814962Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7815094Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7815158Z unimplemented [] 2025-12-04T09:33:02.7815253Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7815330Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7815390Z graph_break [] 2025-12-04T09:33:02.7815513Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7815980Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7816050Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7816180Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7816241Z unimplemented [] 2025-12-04T09:33:02.7816345Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7816422Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7816483Z graph_break [] 2025-12-04T09:33:02.7816606Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7817063Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7817135Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7817269Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7817331Z unimplemented [] 2025-12-04T09:33:02.7817420Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7817497Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7817556Z graph_break [] 2025-12-04T09:33:02.7817678Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7818214Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7818287Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7818411Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7818477Z unimplemented [] 2025-12-04T09:33:02.7818567Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7818690Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7818810Z graph_break [] 2025-12-04T09:33:02.7818932Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7819425Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7819496Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7819619Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7819685Z unimplemented [] 2025-12-04T09:33:02.7819775Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7819852Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7819912Z graph_break [] 2025-12-04T09:33:02.7820047Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7820545Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7820621Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7820746Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7820815Z unimplemented [] 2025-12-04T09:33:02.7820906Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7820980Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7821041Z graph_break [] 2025-12-04T09:33:02.7821165Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7821620Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7821691Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7821812Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7821886Z unimplemented [] 2025-12-04T09:33:02.7821977Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7822047Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7822114Z graph_break [] 2025-12-04T09:33:02.7822237Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7822694Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7822763Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7822885Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7822953Z unimplemented [] 2025-12-04T09:33:02.7823044Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7823113Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7823180Z graph_break [] 2025-12-04T09:33:02.7823304Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7823763Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7823835Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7823959Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7824027Z unimplemented [] 2025-12-04T09:33:02.7824115Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7824185Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7824254Z graph_break [] 2025-12-04T09:33:02.7824376Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7824834Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7824903Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7825110Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7825192Z unimplemented [] 2025-12-04T09:33:02.7825284Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7825389Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7825458Z graph_break [] 2025-12-04T09:33:02.7825582Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7826043Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7826114Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7826239Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7826310Z unimplemented [] 2025-12-04T09:33:02.7826402Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7826472Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7826603Z graph_break [] 2025-12-04T09:33:02.7826729Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7827202Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7827273Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7827399Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7827471Z unimplemented [] 2025-12-04T09:33:02.7827563Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7827634Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7827698Z graph_break [] 2025-12-04T09:33:02.7827822Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7828274Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7828353Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7828475Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7828545Z unimplemented [] 2025-12-04T09:33:02.7828635Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7828704Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7828767Z graph_break [] 2025-12-04T09:33:02.7828891Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7829339Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7829412Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7829535Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7829607Z unimplemented [] 2025-12-04T09:33:02.7829698Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7829769Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7829832Z graph_break [] 2025-12-04T09:33:02.7829954Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7830408Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7830482Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7830676Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7830759Z Traceback (most recent call last): 2025-12-04T09:33:02.7831003Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7831069Z return value(self) 2025-12-04T09:33:02.7831375Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7831553Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7831831Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7831974Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7832288Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7832421Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7832512Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7832516Z 2025-12-04T09:33:02.7832590Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7832782Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7832976Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7832984Z 2025-12-04T09:33:02.7833166Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7833477Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7833482Z 2025-12-04T09:33:02.7833645Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7833781Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7833843Z unimplemented [] 2025-12-04T09:33:02.7833941Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7834018Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7834076Z graph_break [] 2025-12-04T09:33:02.7834206Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7834682Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7834756Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7834887Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7834950Z unimplemented [] 2025-12-04T09:33:02.7835046Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7835122Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7835183Z graph_break [] 2025-12-04T09:33:02.7835313Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7835769Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7835839Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7835971Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7836033Z unimplemented [] 2025-12-04T09:33:02.7836125Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7836204Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7836264Z graph_break [] 2025-12-04T09:33:02.7836387Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7836851Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7836921Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7837050Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7837112Z unimplemented [] 2025-12-04T09:33:02.7837215Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7837294Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7837354Z graph_break [] 2025-12-04T09:33:02.7837480Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7837943Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7838091Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7838256Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7838321Z unimplemented [] 2025-12-04T09:33:02.7838412Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7838488Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7838546Z graph_break [] 2025-12-04T09:33:02.7838675Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7848224Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7848326Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7848566Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7848647Z unimplemented [] 2025-12-04T09:33:02.7848759Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7848849Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7848918Z graph_break [] 2025-12-04T09:33:02.7849060Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7849553Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7849632Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7849773Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7849843Z unimplemented [] 2025-12-04T09:33:02.7849946Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7850041Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7850106Z graph_break [] 2025-12-04T09:33:02.7850243Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7850731Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7850819Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7850953Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7851018Z unimplemented [] 2025-12-04T09:33:02.7851121Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7851201Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7851267Z graph_break [] 2025-12-04T09:33:02.7851394Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7851868Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7851946Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7852073Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7852144Z unimplemented [] 2025-12-04T09:33:02.7852242Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7852330Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7852393Z graph_break [] 2025-12-04T09:33:02.7852519Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7853058Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7853131Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7853260Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7853331Z unimplemented [] 2025-12-04T09:33:02.7853427Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7853601Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7853665Z graph_break [] 2025-12-04T09:33:02.7853797Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7854303Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7854378Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7854504Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7854577Z unimplemented [] 2025-12-04T09:33:02.7854673Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7854752Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7854814Z graph_break [] 2025-12-04T09:33:02.7854940Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7855441Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7855521Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7855651Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7855723Z unimplemented [] 2025-12-04T09:33:02.7855818Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7855902Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7855973Z graph_break [] 2025-12-04T09:33:02.7856100Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7856560Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7856634Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7856763Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7856839Z unimplemented [] 2025-12-04T09:33:02.7856932Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7857005Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7857073Z graph_break [] 2025-12-04T09:33:02.7857204Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7857664Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7857738Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7857864Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7857935Z unimplemented [] 2025-12-04T09:33:02.7858028Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7858243Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7858314Z graph_break [] 2025-12-04T09:33:02.7858448Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7858912Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7858986Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7859112Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7859182Z unimplemented [] 2025-12-04T09:33:02.7859274Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7859346Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7859418Z graph_break [] 2025-12-04T09:33:02.7859545Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7860002Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7860156Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7860282Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7860352Z unimplemented [] 2025-12-04T09:33:02.7860477Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7860551Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7860619Z graph_break [] 2025-12-04T09:33:02.7860750Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7861208Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7861278Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7861404Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7861475Z unimplemented [] 2025-12-04T09:33:02.7861568Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7861701Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7861773Z graph_break [] 2025-12-04T09:33:02.7861901Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7862378Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7862462Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7862599Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7862671Z unimplemented [] 2025-12-04T09:33:02.7862765Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7883571Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7883668Z graph_break [] 2025-12-04T09:33:02.7883839Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7884424Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7884523Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7884684Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7884762Z unimplemented [] 2025-12-04T09:33:02.7884882Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7884969Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7885042Z graph_break [] 2025-12-04T09:33:02.7885195Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7885754Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7885898Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7886050Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7886135Z unimplemented [] 2025-12-04T09:33:02.7886245Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7886328Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7886400Z graph_break [] 2025-12-04T09:33:02.7886550Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7887108Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7887194Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7887343Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7887418Z unimplemented [] 2025-12-04T09:33:02.7887529Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7887613Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7887686Z graph_break [] 2025-12-04T09:33:02.7887839Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7888531Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7888658Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7888808Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7888883Z unimplemented [] 2025-12-04T09:33:02.7888993Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7889089Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7889162Z graph_break [] 2025-12-04T09:33:02.7889312Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7889870Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7890006Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7890160Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7890233Z unimplemented [] 2025-12-04T09:33:02.7890346Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7890429Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7890502Z graph_break [] 2025-12-04T09:33:02.7890652Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7891206Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7891292Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7891440Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7891514Z unimplemented [] 2025-12-04T09:33:02.7891627Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7891716Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7891789Z graph_break [] 2025-12-04T09:33:02.7891936Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7892423Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7892491Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7892608Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7892666Z unimplemented [] 2025-12-04T09:33:02.7892755Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7892821Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7892876Z graph_break [] 2025-12-04T09:33:02.7892996Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7893439Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7893510Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7893629Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7893687Z unimplemented [] 2025-12-04T09:33:02.7893778Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7893845Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7893901Z graph_break [] 2025-12-04T09:33:02.7894022Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7894466Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7894534Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7894651Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7894817Z unimplemented [] 2025-12-04T09:33:02.7894906Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7894973Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7895029Z graph_break [] 2025-12-04T09:33:02.7895186Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7895632Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7895699Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7895831Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7895890Z unimplemented [] 2025-12-04T09:33:02.7895978Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7896045Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7896101Z graph_break [] 2025-12-04T09:33:02.7896259Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7896709Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7896779Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7896898Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7896956Z unimplemented [] 2025-12-04T09:33:02.7897051Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7897121Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7897177Z graph_break [] 2025-12-04T09:33:02.7897298Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7897742Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7897814Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7897935Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7897993Z unimplemented [] 2025-12-04T09:33:02.7898208Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7898278Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7898338Z graph_break [] 2025-12-04T09:33:02.7898460Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7898904Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7898972Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7899093Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7899164Z unimplemented [] 2025-12-04T09:33:02.7899255Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7899329Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7899399Z graph_break [] 2025-12-04T09:33:02.7899523Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7899984Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7900054Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7900181Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7900255Z unimplemented [] 2025-12-04T09:33:02.7900346Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7900417Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7900486Z graph_break [] 2025-12-04T09:33:02.7900606Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7901064Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7901222Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7901344Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7901448Z unimplemented [] 2025-12-04T09:33:02.7901539Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7901608Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7901688Z graph_break [] 2025-12-04T09:33:02.7901814Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7902276Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7902346Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7902467Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7902572Z unimplemented [] 2025-12-04T09:33:02.7902667Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7902736Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7902802Z graph_break [] 2025-12-04T09:33:02.7902925Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7903382Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7903451Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7903572Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7903637Z unimplemented [] 2025-12-04T09:33:02.7903723Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7903806Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7903867Z graph_break [] 2025-12-04T09:33:02.7903997Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7904463Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7904535Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7904678Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7904745Z unimplemented [] 2025-12-04T09:33:02.7904839Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7904914Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7904975Z graph_break [] 2025-12-04T09:33:02.7905098Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7905555Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7905624Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7905834Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7905915Z Traceback (most recent call last): 2025-12-04T09:33:02.7906164Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7906241Z return value(self) 2025-12-04T09:33:02.7906539Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7906639Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7906925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7907032Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7907346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7907476Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7907647Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7907652Z 2025-12-04T09:33:02.7907736Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7907961Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7908157Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7908170Z 2025-12-04T09:33:02.7908304Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7908602Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7908606Z 2025-12-04T09:33:02.7908777Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7908911Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7908977Z unimplemented [] 2025-12-04T09:33:02.7909120Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7909199Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7909265Z graph_break [] 2025-12-04T09:33:02.7909398Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7909870Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7909946Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7910068Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7910130Z unimplemented [] 2025-12-04T09:33:02.7910242Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7910314Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7910376Z graph_break [] 2025-12-04T09:33:02.7910507Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7910964Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7911039Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7911162Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7911223Z unimplemented [] 2025-12-04T09:33:02.7911321Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7911390Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7911448Z graph_break [] 2025-12-04T09:33:02.7911577Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7912401Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7912495Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7912632Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7912703Z unimplemented [] 2025-12-04T09:33:02.7912806Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7912882Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7912946Z graph_break [] 2025-12-04T09:33:02.7913080Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7913555Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7913632Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7913756Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7913819Z unimplemented [] 2025-12-04T09:33:02.7913918Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7913987Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7914047Z graph_break [] 2025-12-04T09:33:02.7914343Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7914856Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7914934Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7915065Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7915131Z unimplemented [] 2025-12-04T09:33:02.7915232Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7915302Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7915367Z graph_break [] 2025-12-04T09:33:02.7915506Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7916036Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7916132Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7916258Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7916320Z unimplemented [] 2025-12-04T09:33:02.7916419Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7916489Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7916548Z graph_break [] 2025-12-04T09:33:02.7916679Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7917132Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7917208Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7917329Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7917392Z unimplemented [] 2025-12-04T09:33:02.7917489Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7917561Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7917624Z graph_break [] 2025-12-04T09:33:02.7917753Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7918206Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7918276Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7918405Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7918466Z unimplemented [] 2025-12-04T09:33:02.7918564Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7918634Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7918693Z graph_break [] 2025-12-04T09:33:02.7918820Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7919271Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7919342Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7919473Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7919534Z unimplemented [] 2025-12-04T09:33:02.7919634Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7919704Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7919764Z graph_break [] 2025-12-04T09:33:02.7919894Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7920345Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7920415Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7920547Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7920720Z unimplemented [] 2025-12-04T09:33:02.7920823Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7920896Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7920955Z graph_break [] 2025-12-04T09:33:02.7921120Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7921572Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7921640Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7921771Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7921836Z unimplemented [] 2025-12-04T09:33:02.7921932Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7922001Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7922061Z graph_break [] 2025-12-04T09:33:02.7922231Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7922684Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7922753Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7922884Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7922950Z unimplemented [] 2025-12-04T09:33:02.7923048Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7923127Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7923185Z graph_break [] 2025-12-04T09:33:02.7923312Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7923762Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7923835Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7923962Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7924023Z unimplemented [] 2025-12-04T09:33:02.7924113Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7924189Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7924250Z graph_break [] 2025-12-04T09:33:02.7924377Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7924824Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7924893Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7925024Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7925085Z unimplemented [] 2025-12-04T09:33:02.7925173Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7925256Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7925315Z graph_break [] 2025-12-04T09:33:02.7925443Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7925892Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7925961Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7926090Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7926151Z unimplemented [] 2025-12-04T09:33:02.7926241Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7926317Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7926376Z graph_break [] 2025-12-04T09:33:02.7926497Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7926951Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7927107Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7927274Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7927338Z unimplemented [] 2025-12-04T09:33:02.7927429Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7927504Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7927564Z graph_break [] 2025-12-04T09:33:02.7927686Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7928140Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7928207Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7928369Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7928436Z unimplemented [] 2025-12-04T09:33:02.7928524Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7928600Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7928660Z graph_break [] 2025-12-04T09:33:02.7928787Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7929240Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7929308Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7929436Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7929498Z unimplemented [] 2025-12-04T09:33:02.7929588Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7929665Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7929725Z graph_break [] 2025-12-04T09:33:02.7929852Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7930313Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7930382Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7930512Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7930573Z unimplemented [] 2025-12-04T09:33:02.7930664Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7930740Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7930799Z graph_break [] 2025-12-04T09:33:02.7930921Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7931379Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7931453Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7931585Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7931646Z unimplemented [] 2025-12-04T09:33:02.7931739Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7931813Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7931873Z graph_break [] 2025-12-04T09:33:02.7931997Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7932460Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7932530Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7932661Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7932725Z unimplemented [] 2025-12-04T09:33:02.7932815Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7932979Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7933040Z graph_break [] 2025-12-04T09:33:02.7933163Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7933666Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7933740Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7933864Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7933935Z unimplemented [] 2025-12-04T09:33:02.7934024Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7934102Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7934161Z graph_break [] 2025-12-04T09:33:02.7934284Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7934776Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7934851Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7934976Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7935048Z unimplemented [] 2025-12-04T09:33:02.7935139Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7935214Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7935275Z graph_break [] 2025-12-04T09:33:02.7935402Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7935856Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7935926Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7936048Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7936122Z unimplemented [] 2025-12-04T09:33:02.7936212Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7936286Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7936344Z graph_break [] 2025-12-04T09:33:02.7936468Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7936922Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7936990Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7937113Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7937181Z unimplemented [] 2025-12-04T09:33:02.7937272Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7937347Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7937409Z graph_break [] 2025-12-04T09:33:02.7937533Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7937997Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7938188Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7938322Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7938385Z unimplemented [] 2025-12-04T09:33:02.7938476Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7938553Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7938618Z graph_break [] 2025-12-04T09:33:02.7938742Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7939199Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7939317Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7939484Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7939546Z unimplemented [] 2025-12-04T09:33:02.7939760Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7939847Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7939907Z graph_break [] 2025-12-04T09:33:02.7940031Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7940489Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7940556Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7940682Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7940743Z unimplemented [] 2025-12-04T09:33:02.7940832Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7940968Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7941028Z graph_break [] 2025-12-04T09:33:02.7941151Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7941605Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7941674Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7941800Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7941861Z unimplemented [] 2025-12-04T09:33:02.7941951Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7942029Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7942089Z graph_break [] 2025-12-04T09:33:02.7942210Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7942667Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7942739Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7942863Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7942930Z unimplemented [] 2025-12-04T09:33:02.7943018Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7943091Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7943151Z graph_break [] 2025-12-04T09:33:02.7943273Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7943726Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7943793Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7943918Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7944002Z unimplemented [] 2025-12-04T09:33:02.7944098Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7944173Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7944232Z graph_break [] 2025-12-04T09:33:02.7944357Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7944820Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7944889Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7945012Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7945081Z unimplemented [] 2025-12-04T09:33:02.7945172Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7945250Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7945309Z graph_break [] 2025-12-04T09:33:02.7945434Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7945973Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7946077Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7946202Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7946272Z unimplemented [] 2025-12-04T09:33:02.7946361Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7946431Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7946498Z graph_break [] 2025-12-04T09:33:02.7946622Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7947086Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7947196Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7947324Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7947393Z unimplemented [] 2025-12-04T09:33:02.7947484Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7947556Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7947623Z graph_break [] 2025-12-04T09:33:02.7947746Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7948201Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7948270Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7948549Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7948628Z unimplemented [] 2025-12-04T09:33:02.7948722Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7948800Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7948872Z graph_break [] 2025-12-04T09:33:02.7948997Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7949563Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7949639Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7949763Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7949831Z unimplemented [] 2025-12-04T09:33:02.7949924Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7949997Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7950064Z graph_break [] 2025-12-04T09:33:02.7950188Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7950648Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7950723Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7950915Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7951000Z Traceback (most recent call last): 2025-12-04T09:33:02.7951242Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7951307Z return value(self) 2025-12-04T09:33:02.7951610Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7951704Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7951981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7952085Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7952397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7952628Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7952729Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7952769Z 2025-12-04T09:33:02.7952850Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7953044Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7953230Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7953235Z 2025-12-04T09:33:02.7953370Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7953666Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7953669Z 2025-12-04T09:33:02.7953831Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7954008Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7954075Z unimplemented [] 2025-12-04T09:33:02.7954173Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7954245Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7954306Z graph_break [] 2025-12-04T09:33:02.7954435Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7954905Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7954976Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7955103Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7955165Z unimplemented [] 2025-12-04T09:33:02.7955260Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7955332Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7955393Z graph_break [] 2025-12-04T09:33:02.7955524Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7955978Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7956046Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7956179Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7956244Z unimplemented [] 2025-12-04T09:33:02.7956340Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7956412Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7956471Z graph_break [] 2025-12-04T09:33:02.7956600Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7957051Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7957123Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7957250Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7957310Z unimplemented [] 2025-12-04T09:33:02.7957401Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7957475Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7957535Z graph_break [] 2025-12-04T09:33:02.7957664Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7958112Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7958183Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7958309Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7958372Z unimplemented [] 2025-12-04T09:33:02.7958521Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7958636Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7958695Z graph_break [] 2025-12-04T09:33:02.7958824Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7959309Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7959379Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7959508Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7959571Z unimplemented [] 2025-12-04T09:33:02.7959663Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7959740Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7959801Z graph_break [] 2025-12-04T09:33:02.7959929Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7960587Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7960667Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7960799Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7960861Z unimplemented [] 2025-12-04T09:33:02.7960952Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7961027Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7961088Z graph_break [] 2025-12-04T09:33:02.7961211Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7961670Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7961737Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7961867Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7961931Z unimplemented [] 2025-12-04T09:33:02.7962021Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7962099Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7962161Z graph_break [] 2025-12-04T09:33:02.7962286Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7962741Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7962822Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7962951Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7963014Z unimplemented [] 2025-12-04T09:33:02.7963106Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7963186Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7963246Z graph_break [] 2025-12-04T09:33:02.7963374Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7963836Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7963907Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7964037Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7964101Z unimplemented [] 2025-12-04T09:33:02.7964191Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7964266Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7964326Z graph_break [] 2025-12-04T09:33:02.7964450Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7964906Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7965058Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7965189Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7965252Z unimplemented [] 2025-12-04T09:33:02.7965400Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7965480Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7965540Z graph_break [] 2025-12-04T09:33:02.7965664Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7966123Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7966190Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7966317Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7966378Z unimplemented [] 2025-12-04T09:33:02.7966503Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7966585Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7966645Z graph_break [] 2025-12-04T09:33:02.7966767Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7967223Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7967301Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7967431Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7967492Z unimplemented [] 2025-12-04T09:33:02.7967581Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7967657Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7967716Z graph_break [] 2025-12-04T09:33:02.7967836Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7968293Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7968367Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7968497Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7968559Z unimplemented [] 2025-12-04T09:33:02.7968646Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7968720Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7968780Z graph_break [] 2025-12-04T09:33:02.7968901Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7969353Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7969421Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7969546Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7969616Z unimplemented [] 2025-12-04T09:33:02.7969704Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7969780Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7969839Z graph_break [] 2025-12-04T09:33:02.7969963Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7970421Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7970488Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7970610Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7970676Z unimplemented [] 2025-12-04T09:33:02.7970764Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7970839Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7970899Z graph_break [] 2025-12-04T09:33:02.7971102Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7971591Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7971665Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7971787Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7971855Z unimplemented [] 2025-12-04T09:33:02.7971944Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7972020Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7972078Z graph_break [] 2025-12-04T09:33:02.7972202Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7972660Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7972769Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7972894Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7972963Z unimplemented [] 2025-12-04T09:33:02.7973065Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7973137Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7973204Z graph_break [] 2025-12-04T09:33:02.7973326Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7973918Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7973993Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7974118Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7974187Z unimplemented [] 2025-12-04T09:33:02.7974278Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7974355Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7974421Z graph_break [] 2025-12-04T09:33:02.7974546Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7975008Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7975076Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7975199Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7975266Z unimplemented [] 2025-12-04T09:33:02.7975356Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7975425Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7975492Z graph_break [] 2025-12-04T09:33:02.7975615Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7976071Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7976142Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7976266Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7976334Z unimplemented [] 2025-12-04T09:33:02.7976425Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7976496Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7976573Z graph_break [] 2025-12-04T09:33:02.7976703Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7977161Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7977231Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7977355Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7977512Z unimplemented [] 2025-12-04T09:33:02.7977603Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7977673Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7977740Z graph_break [] 2025-12-04T09:33:02.7977897Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7978495Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7978566Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7978694Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7978762Z unimplemented [] 2025-12-04T09:33:02.7978852Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7978921Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7978987Z graph_break [] 2025-12-04T09:33:02.7979153Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7979609Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7979682Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7979804Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7979872Z unimplemented [] 2025-12-04T09:33:02.7979960Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7980028Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7980094Z graph_break [] 2025-12-04T09:33:02.7980217Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7980665Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7980747Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7980869Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7980935Z unimplemented [] 2025-12-04T09:33:02.7981025Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7981094Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7981157Z graph_break [] 2025-12-04T09:33:02.7981291Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7981753Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7981826Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7981950Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7982017Z unimplemented [] 2025-12-04T09:33:02.7982108Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7982180Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7982245Z graph_break [] 2025-12-04T09:33:02.7982367Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7982820Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7982893Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7983016Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7983083Z unimplemented [] 2025-12-04T09:33:02.7983172Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7983242Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7983310Z graph_break [] 2025-12-04T09:33:02.7983431Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7983883Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7984036Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7984193Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7984261Z unimplemented [] 2025-12-04T09:33:02.7984352Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7984422Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7984486Z graph_break [] 2025-12-04T09:33:02.7984609Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7985059Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7985132Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7985254Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7985364Z unimplemented [] 2025-12-04T09:33:02.7985464Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7985533Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7985599Z graph_break [] 2025-12-04T09:33:02.7985722Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7986172Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7986245Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7986371Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7986432Z unimplemented [] 2025-12-04T09:33:02.7986528Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7986597Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7986664Z graph_break [] 2025-12-04T09:33:02.7986788Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7987239Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7987325Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7987449Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7987511Z unimplemented [] 2025-12-04T09:33:02.7987608Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7987678Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7987744Z graph_break [] 2025-12-04T09:33:02.7987867Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7988317Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7988394Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7988520Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7988582Z unimplemented [] 2025-12-04T09:33:02.7988680Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7988752Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7988813Z graph_break [] 2025-12-04T09:33:02.7988944Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7989392Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7989467Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7989592Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7989653Z unimplemented [] 2025-12-04T09:33:02.7989751Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7989920Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7989980Z graph_break [] 2025-12-04T09:33:02.7990110Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7990594Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7990685Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7990806Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7990868Z unimplemented [] 2025-12-04T09:33:02.7990964Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7991032Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7991095Z graph_break [] 2025-12-04T09:33:02.7991223Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7991706Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7991787Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7991913Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7991975Z unimplemented [] 2025-12-04T09:33:02.7992074Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7992144Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7992203Z graph_break [] 2025-12-04T09:33:02.7992333Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7992785Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7992865Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7992988Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7993057Z unimplemented [] 2025-12-04T09:33:02.7993154Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7993223Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7993283Z graph_break [] 2025-12-04T09:33:02.7993415Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7993863Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7993936Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7994058Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7994118Z unimplemented [] 2025-12-04T09:33:02.7994213Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7994283Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7994343Z graph_break [] 2025-12-04T09:33:02.7994484Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7994938Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7995013Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7995132Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7995193Z unimplemented [] 2025-12-04T09:33:02.7995288Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7995355Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7995414Z graph_break [] 2025-12-04T09:33:02.7995545Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.7995990Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.7996109Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.7996339Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.7996415Z Traceback (most recent call last): 2025-12-04T09:33:02.7996696Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.7996762Z return value(self) 2025-12-04T09:33:02.7997057Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.7997154Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.7997420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.7997526Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.7997834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.7997994Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.7998095Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.7998099Z 2025-12-04T09:33:02.7998173Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.7998360Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.7998558Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.7998563Z 2025-12-04T09:33:02.7998702Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.7999001Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.7999005Z 2025-12-04T09:33:02.7999167Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.7999295Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.7999362Z unimplemented [] 2025-12-04T09:33:02.7999461Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.7999538Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.7999597Z graph_break [] 2025-12-04T09:33:02.7999723Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8000190Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8000259Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8000383Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8000451Z unimplemented [] 2025-12-04T09:33:02.8000542Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8000624Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8000685Z graph_break [] 2025-12-04T09:33:02.8000806Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8001270Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8001340Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8001466Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8001538Z unimplemented [] 2025-12-04T09:33:02.8001629Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8001705Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8001765Z graph_break [] 2025-12-04T09:33:02.8001886Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8002342Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8002411Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8002594Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8002699Z unimplemented [] 2025-12-04T09:33:02.8002787Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8002857Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8002958Z graph_break [] 2025-12-04T09:33:02.8003082Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8003540Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8003610Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8003734Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8003802Z unimplemented [] 2025-12-04T09:33:02.8003893Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8003964Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8004034Z graph_break [] 2025-12-04T09:33:02.8004195Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8004658Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8004731Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8004854Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8004923Z unimplemented [] 2025-12-04T09:33:02.8005014Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8005085Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8005157Z graph_break [] 2025-12-04T09:33:02.8005279Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8005743Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8005817Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8005941Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8006011Z unimplemented [] 2025-12-04T09:33:02.8006103Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8006173Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8006241Z graph_break [] 2025-12-04T09:33:02.8006363Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8006826Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8006895Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8007020Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8007088Z unimplemented [] 2025-12-04T09:33:02.8007178Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8007248Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8007316Z graph_break [] 2025-12-04T09:33:02.8007438Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8007895Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8007966Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8008087Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8008152Z unimplemented [] 2025-12-04T09:33:02.8008239Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8008308Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8008374Z graph_break [] 2025-12-04T09:33:02.8008500Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8008997Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8009107Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8009263Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8009336Z unimplemented [] 2025-12-04T09:33:02.8009431Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8009500Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8009563Z graph_break [] 2025-12-04T09:33:02.8009686Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8010138Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8010210Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8010366Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8010438Z unimplemented [] 2025-12-04T09:33:02.8010527Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8010595Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8010660Z graph_break [] 2025-12-04T09:33:02.8010782Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8011232Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8011305Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8011427Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8011494Z unimplemented [] 2025-12-04T09:33:02.8011583Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8011653Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8011717Z graph_break [] 2025-12-04T09:33:02.8011843Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8012600Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8012681Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8012809Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8012879Z unimplemented [] 2025-12-04T09:33:02.8012974Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8013045Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8013110Z graph_break [] 2025-12-04T09:33:02.8013234Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8013687Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8013767Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8013889Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8013957Z unimplemented [] 2025-12-04T09:33:02.8014050Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8014119Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8014192Z graph_break [] 2025-12-04T09:33:02.8014314Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8014763Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8014839Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8014962Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8015023Z unimplemented [] 2025-12-04T09:33:02.8015121Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8015367Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8015435Z graph_break [] 2025-12-04T09:33:02.8015560Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8016063Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8016140Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8016263Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8016327Z unimplemented [] 2025-12-04T09:33:02.8016426Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8016496Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8016561Z graph_break [] 2025-12-04T09:33:02.8016685Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8017190Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8017272Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8017398Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8017459Z unimplemented [] 2025-12-04T09:33:02.8017556Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8017627Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8017687Z graph_break [] 2025-12-04T09:33:02.8017829Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8018382Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8018459Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8018584Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8018651Z unimplemented [] 2025-12-04T09:33:02.8018750Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8018820Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8018882Z graph_break [] 2025-12-04T09:33:02.8019014Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8019463Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8019539Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8019663Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8019725Z unimplemented [] 2025-12-04T09:33:02.8019824Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8019894Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8019954Z graph_break [] 2025-12-04T09:33:02.8020090Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8020545Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8020620Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8020741Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8020806Z unimplemented [] 2025-12-04T09:33:02.8020903Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8020970Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8021028Z graph_break [] 2025-12-04T09:33:02.8021155Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8021602Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8021759Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8021881Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8021942Z unimplemented [] 2025-12-04T09:33:02.8022076Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8022159Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8022221Z graph_break [] 2025-12-04T09:33:02.8022352Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8022800Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8022874Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8022993Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8023055Z unimplemented [] 2025-12-04T09:33:02.8023149Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8023258Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8023323Z graph_break [] 2025-12-04T09:33:02.8023450Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8023902Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8023980Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8024102Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8024164Z unimplemented [] 2025-12-04T09:33:02.8024259Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8024328Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8024391Z graph_break [] 2025-12-04T09:33:02.8024525Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8024976Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8025055Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8025177Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8025239Z unimplemented [] 2025-12-04T09:33:02.8025332Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8025403Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8025462Z graph_break [] 2025-12-04T09:33:02.8025588Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8026038Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8026107Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8026238Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8026304Z unimplemented [] 2025-12-04T09:33:02.8026402Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8026471Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8026531Z graph_break [] 2025-12-04T09:33:02.8026660Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8027110Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8027179Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8027309Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8027372Z unimplemented [] 2025-12-04T09:33:02.8027467Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8027537Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8027597Z graph_break [] 2025-12-04T09:33:02.8027774Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8028295Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8028365Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8028495Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8028557Z unimplemented [] 2025-12-04T09:33:02.8028652Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8028723Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8028783Z graph_break [] 2025-12-04T09:33:02.8028910Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8029375Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8029485Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8029619Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8029680Z unimplemented [] 2025-12-04T09:33:02.8029771Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8029847Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8029909Z graph_break [] 2025-12-04T09:33:02.8030040Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8030490Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8030559Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8030689Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8030752Z unimplemented [] 2025-12-04T09:33:02.8030844Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8030925Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8030985Z graph_break [] 2025-12-04T09:33:02.8031119Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8031601Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8031672Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8031805Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8031868Z unimplemented [] 2025-12-04T09:33:02.8031961Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8032040Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8032103Z graph_break [] 2025-12-04T09:33:02.8032235Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8032701Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8032774Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8032907Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8032972Z unimplemented [] 2025-12-04T09:33:02.8033065Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8033141Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8033203Z graph_break [] 2025-12-04T09:33:02.8033322Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8033782Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8033849Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8033974Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8034122Z unimplemented [] 2025-12-04T09:33:02.8034215Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8034290Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8034348Z graph_break [] 2025-12-04T09:33:02.8034504Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8034961Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8035031Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8035159Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8035219Z unimplemented [] 2025-12-04T09:33:02.8035310Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8035385Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8035444Z graph_break [] 2025-12-04T09:33:02.8035617Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8036082Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8036151Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8036278Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8036339Z unimplemented [] 2025-12-04T09:33:02.8036429Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8036504Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8036562Z graph_break [] 2025-12-04T09:33:02.8036684Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8037141Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8037213Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8037342Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8037404Z unimplemented [] 2025-12-04T09:33:02.8037497Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8037572Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8037633Z graph_break [] 2025-12-04T09:33:02.8037758Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8038217Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8038287Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8038414Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8038476Z unimplemented [] 2025-12-04T09:33:02.8038565Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8038648Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8038707Z graph_break [] 2025-12-04T09:33:02.8038830Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8039285Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8039354Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8039480Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8039541Z unimplemented [] 2025-12-04T09:33:02.8039631Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8039706Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8039766Z graph_break [] 2025-12-04T09:33:02.8039890Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8040352Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8040590Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8040758Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8040821Z unimplemented [] 2025-12-04T09:33:02.8040913Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8040988Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8041048Z graph_break [] 2025-12-04T09:33:02.8041171Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8041626Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8041694Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8041818Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8041927Z unimplemented [] 2025-12-04T09:33:02.8042019Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8042097Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8042157Z graph_break [] 2025-12-04T09:33:02.8042281Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8042735Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8042803Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8042995Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.8043085Z Traceback (most recent call last): 2025-12-04T09:33:02.8043327Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.8043402Z return value(self) 2025-12-04T09:33:02.8043697Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.8043790Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.8044071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.8044174Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.8044486Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.8044624Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.8044714Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8044718Z 2025-12-04T09:33:02.8044797Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8044982Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8045173Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8045181Z 2025-12-04T09:33:02.8045319Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8045619Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8045624Z 2025-12-04T09:33:02.8045790Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8045920Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8045985Z unimplemented [] 2025-12-04T09:33:02.8046085Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8046156Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8046217Z graph_break [] 2025-12-04T09:33:02.8046348Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8046827Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8047091Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8047221Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8047321Z unimplemented [] 2025-12-04T09:33:02.8047424Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8047494Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8047552Z graph_break [] 2025-12-04T09:33:02.8047682Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8048144Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8048219Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8048341Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8048402Z unimplemented [] 2025-12-04T09:33:02.8048540Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8048611Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8048669Z graph_break [] 2025-12-04T09:33:02.8048799Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8049254Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8049328Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8049448Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8049508Z unimplemented [] 2025-12-04T09:33:02.8049605Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8049674Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8049732Z graph_break [] 2025-12-04T09:33:02.8049861Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8050316Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8050390Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8050514Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8050576Z unimplemented [] 2025-12-04T09:33:02.8050671Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8050744Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8050803Z graph_break [] 2025-12-04T09:33:02.8050932Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8051383Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8051457Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8051584Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8051645Z unimplemented [] 2025-12-04T09:33:02.8051744Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8051814Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8051876Z graph_break [] 2025-12-04T09:33:02.8052008Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8052459Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8052527Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8052656Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8052718Z unimplemented [] 2025-12-04T09:33:02.8052818Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8052890Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8052997Z graph_break [] 2025-12-04T09:33:02.8053176Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8053665Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8053735Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8053865Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8053926Z unimplemented [] 2025-12-04T09:33:02.8054022Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8054095Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8054155Z graph_break [] 2025-12-04T09:33:02.8054281Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8054766Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8054840Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8054969Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8055031Z unimplemented [] 2025-12-04T09:33:02.8055130Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8055198Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8055261Z graph_break [] 2025-12-04T09:33:02.8055390Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8055843Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8055912Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8056056Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8056119Z unimplemented [] 2025-12-04T09:33:02.8056215Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8056292Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8056350Z graph_break [] 2025-12-04T09:33:02.8056479Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8056931Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8057002Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8057135Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8057197Z unimplemented [] 2025-12-04T09:33:02.8057288Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8057369Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8057429Z graph_break [] 2025-12-04T09:33:02.8057562Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8058014Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8058172Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8058309Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8058372Z unimplemented [] 2025-12-04T09:33:02.8058463Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8058540Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8058600Z graph_break [] 2025-12-04T09:33:02.8058731Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8059182Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8059251Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8059382Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8059535Z unimplemented [] 2025-12-04T09:33:02.8059627Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8059704Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8059818Z graph_break [] 2025-12-04T09:33:02.8059944Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8060405Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8060474Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8060605Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8060665Z unimplemented [] 2025-12-04T09:33:02.8060755Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8060832Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8060891Z graph_break [] 2025-12-04T09:33:02.8061056Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8061534Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8061603Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8061732Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8061793Z unimplemented [] 2025-12-04T09:33:02.8061883Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8061958Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8062018Z graph_break [] 2025-12-04T09:33:02.8062137Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8062595Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8062667Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8062793Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8062853Z unimplemented [] 2025-12-04T09:33:02.8062944Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8063019Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8063078Z graph_break [] 2025-12-04T09:33:02.8063203Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8063660Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8063729Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8063855Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8063916Z unimplemented [] 2025-12-04T09:33:02.8064008Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8064086Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8064145Z graph_break [] 2025-12-04T09:33:02.8064266Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8064725Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8064794Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8064920Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8064982Z unimplemented [] 2025-12-04T09:33:02.8065072Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8065147Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8065206Z graph_break [] 2025-12-04T09:33:02.8065329Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8065799Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8065961Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8066125Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8066190Z unimplemented [] 2025-12-04T09:33:02.8066281Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8066358Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8066422Z graph_break [] 2025-12-04T09:33:02.8066545Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8067003Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8067072Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8067236Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8067304Z unimplemented [] 2025-12-04T09:33:02.8067393Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8067470Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8067530Z graph_break [] 2025-12-04T09:33:02.8067654Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8068112Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8068181Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8068304Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8068373Z unimplemented [] 2025-12-04T09:33:02.8068465Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8068540Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8068603Z graph_break [] 2025-12-04T09:33:02.8068729Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8069186Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8069256Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8069381Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8069450Z unimplemented [] 2025-12-04T09:33:02.8069542Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8069617Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8069677Z graph_break [] 2025-12-04T09:33:02.8069799Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8070256Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8070331Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8070455Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8070526Z unimplemented [] 2025-12-04T09:33:02.8070620Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8070701Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8070770Z graph_break [] 2025-12-04T09:33:02.8070894Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8071353Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8071423Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8071544Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8071614Z unimplemented [] 2025-12-04T09:33:02.8071704Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8071852Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8071924Z graph_break [] 2025-12-04T09:33:02.8072048Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8072540Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8072611Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8072735Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8072804Z unimplemented [] 2025-12-04T09:33:02.8072897Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8072965Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8073031Z graph_break [] 2025-12-04T09:33:02.8073152Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8073651Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8073728Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8073852Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8073920Z unimplemented [] 2025-12-04T09:33:02.8074010Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8074081Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8074148Z graph_break [] 2025-12-04T09:33:02.8074270Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8074726Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8074795Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8074920Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8074990Z unimplemented [] 2025-12-04T09:33:02.8075080Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8075149Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8075212Z graph_break [] 2025-12-04T09:33:02.8075338Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8075793Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8075861Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8075983Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8076049Z unimplemented [] 2025-12-04T09:33:02.8076138Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8076206Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8076271Z graph_break [] 2025-12-04T09:33:02.8076399Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8076858Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8076925Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8077048Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8077117Z unimplemented [] 2025-12-04T09:33:02.8077206Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8077275Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8077342Z graph_break [] 2025-12-04T09:33:02.8077473Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8077924Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8078075Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8078197Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8078263Z unimplemented [] 2025-12-04T09:33:02.8078386Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8078458Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8078524Z graph_break [] 2025-12-04T09:33:02.8078645Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8079100Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8079173Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8079298Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8079365Z unimplemented [] 2025-12-04T09:33:02.8079454Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8079565Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8079631Z graph_break [] 2025-12-04T09:33:02.8079758Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8080209Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8080284Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8080408Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8080479Z unimplemented [] 2025-12-04T09:33:02.8080581Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8080653Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8080722Z graph_break [] 2025-12-04T09:33:02.8080847Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8081301Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8086315Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8086502Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8086575Z unimplemented [] 2025-12-04T09:33:02.8086691Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8086772Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8086842Z graph_break [] 2025-12-04T09:33:02.8086981Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8087471Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8087558Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8087692Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8087771Z unimplemented [] 2025-12-04T09:33:02.8087890Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8087967Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8088034Z graph_break [] 2025-12-04T09:33:02.8088162Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8088633Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8088711Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8088836Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8088899Z unimplemented [] 2025-12-04T09:33:02.8089002Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8089076Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8089138Z graph_break [] 2025-12-04T09:33:02.8089270Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8089874Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8089989Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8090116Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8090179Z unimplemented [] 2025-12-04T09:33:02.8090278Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8090348Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8090409Z graph_break [] 2025-12-04T09:33:02.8090549Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8091006Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8091129Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8091255Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8091317Z unimplemented [] 2025-12-04T09:33:02.8091419Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8091490Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8091551Z graph_break [] 2025-12-04T09:33:02.8091678Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8092134Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8092208Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8092334Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8092396Z unimplemented [] 2025-12-04T09:33:02.8092497Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8092570Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8092633Z graph_break [] 2025-12-04T09:33:02.8092761Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8093213Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8093287Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8093409Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8093470Z unimplemented [] 2025-12-04T09:33:02.8093566Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8093635Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8093709Z graph_break [] 2025-12-04T09:33:02.8093841Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8094293Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8094372Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8094499Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8094562Z unimplemented [] 2025-12-04T09:33:02.8094655Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8094724Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8094785Z graph_break [] 2025-12-04T09:33:02.8094913Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8095363Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8095438Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8095633Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.8095789Z Traceback (most recent call last): 2025-12-04T09:33:02.8096053Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.8096124Z return value(self) 2025-12-04T09:33:02.8096464Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.8096564Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.8096852Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.8096963Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.8097277Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.8097407Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.8097504Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8097513Z 2025-12-04T09:33:02.8097626Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8097817Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8098016Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8098021Z 2025-12-04T09:33:02.8098270Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8098576Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8098580Z 2025-12-04T09:33:02.8098742Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8098875Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8098943Z unimplemented [] 2025-12-04T09:33:02.8099043Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8099126Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8099193Z graph_break [] 2025-12-04T09:33:02.8099325Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8099809Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8099884Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8100012Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8100079Z unimplemented [] 2025-12-04T09:33:02.8100173Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8100255Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8100316Z graph_break [] 2025-12-04T09:33:02.8100441Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8100907Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8100982Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8101107Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8101178Z unimplemented [] 2025-12-04T09:33:02.8101272Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8101344Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8101417Z graph_break [] 2025-12-04T09:33:02.8101547Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8102013Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8102089Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8102225Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8102299Z unimplemented [] 2025-12-04T09:33:02.8102495Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8102571Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8102641Z graph_break [] 2025-12-04T09:33:02.8102811Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8103283Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8103358Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8103487Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8103559Z unimplemented [] 2025-12-04T09:33:02.8103666Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8103740Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8103810Z graph_break [] 2025-12-04T09:33:02.8103941Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8104459Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8104535Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8104671Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8104743Z unimplemented [] 2025-12-04T09:33:02.8104840Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8104916Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8104993Z graph_break [] 2025-12-04T09:33:02.8105119Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8105594Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8105669Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8105796Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8105867Z unimplemented [] 2025-12-04T09:33:02.8105961Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8106036Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8106108Z graph_break [] 2025-12-04T09:33:02.8106231Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8106689Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8106772Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8106897Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8106961Z unimplemented [] 2025-12-04T09:33:02.8107059Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8107130Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8107191Z graph_break [] 2025-12-04T09:33:02.8107326Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8107783Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8107864Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8107988Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8108051Z unimplemented [] 2025-12-04T09:33:02.8108152Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8108226Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8108290Z graph_break [] 2025-12-04T09:33:02.8108430Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8108888Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8109046Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8109170Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8109234Z unimplemented [] 2025-12-04T09:33:02.8109372Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8109445Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8109507Z graph_break [] 2025-12-04T09:33:02.8109652Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8110106Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8110185Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8110312Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8110377Z unimplemented [] 2025-12-04T09:33:02.8110516Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8110594Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8110656Z graph_break [] 2025-12-04T09:33:02.8110791Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8111248Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8111324Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8111449Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8111512Z unimplemented [] 2025-12-04T09:33:02.8111624Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8111699Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8111761Z graph_break [] 2025-12-04T09:33:02.8111906Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8112729Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8112816Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8112952Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8113021Z unimplemented [] 2025-12-04T09:33:02.8113128Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8113202Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8113262Z graph_break [] 2025-12-04T09:33:02.8113395Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8113853Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8113932Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8114057Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8114126Z unimplemented [] 2025-12-04T09:33:02.8114225Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8114296Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8114359Z graph_break [] 2025-12-04T09:33:02.8114492Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8114944Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8115014Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8115156Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8115221Z unimplemented [] 2025-12-04T09:33:02.8115321Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8115392Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8115453Z graph_break [] 2025-12-04T09:33:02.8115756Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8116265Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8116337Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8116468Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8116531Z unimplemented [] 2025-12-04T09:33:02.8116628Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8116700Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8116761Z graph_break [] 2025-12-04T09:33:02.8116897Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8117412Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8117488Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8117619Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8117684Z unimplemented [] 2025-12-04T09:33:02.8117784Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8117857Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8117919Z graph_break [] 2025-12-04T09:33:02.8118050Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8118504Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8118575Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8118708Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8118772Z unimplemented [] 2025-12-04T09:33:02.8118871Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8118958Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8119021Z graph_break [] 2025-12-04T09:33:02.8119154Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8119612Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8119684Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8119815Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8119879Z unimplemented [] 2025-12-04T09:33:02.8119971Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8120051Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8120114Z graph_break [] 2025-12-04T09:33:02.8120248Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8120713Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8120788Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8120925Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8120989Z unimplemented [] 2025-12-04T09:33:02.8121083Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8121166Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8121229Z graph_break [] 2025-12-04T09:33:02.8121361Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8121820Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8121890Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8122025Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8122170Z unimplemented [] 2025-12-04T09:33:02.8122264Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8122342Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8122403Z graph_break [] 2025-12-04T09:33:02.8122573Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8123047Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8123120Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8123254Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8123319Z unimplemented [] 2025-12-04T09:33:02.8123411Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8123489Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8123551Z graph_break [] 2025-12-04T09:33:02.8123713Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8124185Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8124260Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8124389Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8124455Z unimplemented [] 2025-12-04T09:33:02.8124549Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8124634Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8124697Z graph_break [] 2025-12-04T09:33:02.8124823Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8125298Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8125376Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8125505Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8125569Z unimplemented [] 2025-12-04T09:33:02.8125664Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8125751Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8125815Z graph_break [] 2025-12-04T09:33:02.8125940Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8126400Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8126470Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8126600Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8126663Z unimplemented [] 2025-12-04T09:33:02.8126757Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8126837Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8126898Z graph_break [] 2025-12-04T09:33:02.8127022Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8127482Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8127551Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8127683Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8127746Z unimplemented [] 2025-12-04T09:33:02.8127839Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8127913Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8127974Z graph_break [] 2025-12-04T09:33:02.8128099Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8128564Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8128715Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8128878Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8128943Z unimplemented [] 2025-12-04T09:33:02.8129034Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8129111Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8129172Z graph_break [] 2025-12-04T09:33:02.8129299Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8129759Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8129831Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8129999Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8130068Z unimplemented [] 2025-12-04T09:33:02.8130163Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8130239Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8130302Z graph_break [] 2025-12-04T09:33:02.8130433Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8130891Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8130962Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8131085Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8131157Z unimplemented [] 2025-12-04T09:33:02.8131250Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8131325Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8131386Z graph_break [] 2025-12-04T09:33:02.8131514Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8131976Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8132047Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8132172Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8132241Z unimplemented [] 2025-12-04T09:33:02.8132332Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8132408Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8132469Z graph_break [] 2025-12-04T09:33:02.8132595Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8133055Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8133128Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8133253Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8133325Z unimplemented [] 2025-12-04T09:33:02.8133431Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8133510Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8133573Z graph_break [] 2025-12-04T09:33:02.8133699Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8134157Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8134229Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8134353Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8134425Z unimplemented [] 2025-12-04T09:33:02.8134517Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8134669Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8134737Z graph_break [] 2025-12-04T09:33:02.8134865Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8135378Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8135454Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8135579Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8135650Z unimplemented [] 2025-12-04T09:33:02.8135745Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8135817Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8135885Z graph_break [] 2025-12-04T09:33:02.8136012Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8136524Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8136601Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8136727Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8136802Z unimplemented [] 2025-12-04T09:33:02.8136897Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8136969Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8137038Z graph_break [] 2025-12-04T09:33:02.8137166Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8137626Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8137703Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8137827Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8137903Z unimplemented [] 2025-12-04T09:33:02.8137995Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8138171Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8138246Z graph_break [] 2025-12-04T09:33:02.8138374Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8138839Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8138913Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8139037Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8139106Z unimplemented [] 2025-12-04T09:33:02.8139199Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8139269Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8139337Z graph_break [] 2025-12-04T09:33:02.8139466Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8139927Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8139999Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8140124Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8140197Z unimplemented [] 2025-12-04T09:33:02.8140290Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8140367Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8140430Z graph_break [] 2025-12-04T09:33:02.8140555Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8141018Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8141140Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8141306Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8141377Z unimplemented [] 2025-12-04T09:33:02.8141468Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8141579Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8141643Z graph_break [] 2025-12-04T09:33:02.8141767Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8142227Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8142299Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8142423Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8142497Z unimplemented [] 2025-12-04T09:33:02.8142588Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8142709Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8142776Z graph_break [] 2025-12-04T09:33:02.8142904Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8143368Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8143440Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8143564Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8143632Z unimplemented [] 2025-12-04T09:33:02.8143724Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8143794Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8143859Z graph_break [] 2025-12-04T09:33:02.8143985Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8144442Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8144515Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8144642Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8144710Z unimplemented [] 2025-12-04T09:33:02.8144801Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8144873Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8144939Z graph_break [] 2025-12-04T09:33:02.8145063Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8145523Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8145591Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8145785Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.8145874Z Traceback (most recent call last): 2025-12-04T09:33:02.8146118Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.8146185Z return value(self) 2025-12-04T09:33:02.8146491Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.8146580Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.8146858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.8146963Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.8147274Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.8147412Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.8147504Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8147675Z 2025-12-04T09:33:02.8147761Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8147952Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8148178Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8148182Z 2025-12-04T09:33:02.8148319Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8148621Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8148626Z 2025-12-04T09:33:02.8148796Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8148929Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8148995Z unimplemented [] 2025-12-04T09:33:02.8149098Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8149174Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8149280Z graph_break [] 2025-12-04T09:33:02.8149417Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8149888Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8149967Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8150092Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8150156Z unimplemented [] 2025-12-04T09:33:02.8150257Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8150329Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8150390Z graph_break [] 2025-12-04T09:33:02.8150522Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8150981Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8151058Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8151190Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8151253Z unimplemented [] 2025-12-04T09:33:02.8151355Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8151429Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8151503Z graph_break [] 2025-12-04T09:33:02.8151639Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8152094Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8152165Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8152301Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8152365Z unimplemented [] 2025-12-04T09:33:02.8152474Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8152548Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8152611Z graph_break [] 2025-12-04T09:33:02.8152743Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8153199Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8153271Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8153404Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8153469Z unimplemented [] 2025-12-04T09:33:02.8153568Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8153639Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8153701Z graph_break [] 2025-12-04T09:33:02.8153836Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8154387Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8154459Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8154627Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8154693Z unimplemented [] 2025-12-04T09:33:02.8154794Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8154866Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8154930Z graph_break [] 2025-12-04T09:33:02.8155063Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8155514Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8155585Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8155758Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8155826Z unimplemented [] 2025-12-04T09:33:02.8155921Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8155997Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8156059Z graph_break [] 2025-12-04T09:33:02.8156194Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8156653Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8156722Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8156853Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8156916Z unimplemented [] 2025-12-04T09:33:02.8157006Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8157084Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8157147Z graph_break [] 2025-12-04T09:33:02.8157280Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8157733Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8157804Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8157932Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8157995Z unimplemented [] 2025-12-04T09:33:02.8158086Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8158163Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8158224Z graph_break [] 2025-12-04T09:33:02.8158354Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8158807Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8158880Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8159008Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8159074Z unimplemented [] 2025-12-04T09:33:02.8159171Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8159247Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8159309Z graph_break [] 2025-12-04T09:33:02.8159438Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8159902Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8159973Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8160105Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8160168Z unimplemented [] 2025-12-04T09:33:02.8160311Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8160426Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8160487Z graph_break [] 2025-12-04T09:33:02.8160620Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8161148Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8161226Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8161362Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8161437Z unimplemented [] 2025-12-04T09:33:02.8161535Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8161614Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8161678Z graph_break [] 2025-12-04T09:33:02.8161804Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8162310Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8162386Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8162519Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8162584Z unimplemented [] 2025-12-04T09:33:02.8162677Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8162755Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8162820Z graph_break [] 2025-12-04T09:33:02.8162946Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8163410Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8163483Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8163618Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8163684Z unimplemented [] 2025-12-04T09:33:02.8163779Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8163860Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8163923Z graph_break [] 2025-12-04T09:33:02.8164060Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8164523Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8164595Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8164726Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8164790Z unimplemented [] 2025-12-04T09:33:02.8164881Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8164961Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8165024Z graph_break [] 2025-12-04T09:33:02.8165156Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8165621Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8165693Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8165827Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8165893Z unimplemented [] 2025-12-04T09:33:02.8165987Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8166069Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8166131Z graph_break [] 2025-12-04T09:33:02.8166257Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8166723Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8166876Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8167000Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8167075Z unimplemented [] 2025-12-04T09:33:02.8167205Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8167290Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8167353Z graph_break [] 2025-12-04T09:33:02.8167481Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8167944Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8168014Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8168139Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8168226Z unimplemented [] 2025-12-04T09:33:02.8168357Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8168439Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8168501Z graph_break [] 2025-12-04T09:33:02.8168624Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8169085Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8169155Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8169278Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8169348Z unimplemented [] 2025-12-04T09:33:02.8169439Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8169516Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8169577Z graph_break [] 2025-12-04T09:33:02.8169702Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8170170Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8170244Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8170374Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8170444Z unimplemented [] 2025-12-04T09:33:02.8170536Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8170606Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8170672Z graph_break [] 2025-12-04T09:33:02.8170795Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8171256Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8171325Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8171452Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8171523Z unimplemented [] 2025-12-04T09:33:02.8171615Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8171686Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8171756Z graph_break [] 2025-12-04T09:33:02.8171882Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8172340Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8172412Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8172538Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8172605Z unimplemented [] 2025-12-04T09:33:02.8172696Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8172768Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8172835Z graph_break [] 2025-12-04T09:33:02.8173007Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8173533Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8173605Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8173729Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8173804Z unimplemented [] 2025-12-04T09:33:02.8173897Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8173968Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8174035Z graph_break [] 2025-12-04T09:33:02.8174160Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8174616Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8174727Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8174855Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8174924Z unimplemented [] 2025-12-04T09:33:02.8175020Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8175093Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8175161Z graph_break [] 2025-12-04T09:33:02.8175286Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8175754Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8175833Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8175959Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8176029Z unimplemented [] 2025-12-04T09:33:02.8176121Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8176198Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8176268Z graph_break [] 2025-12-04T09:33:02.8176394Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8176852Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8176930Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8177056Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8177125Z unimplemented [] 2025-12-04T09:33:02.8177216Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8177287Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8177356Z graph_break [] 2025-12-04T09:33:02.8177485Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8177943Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8178023Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8178271Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8178344Z unimplemented [] 2025-12-04T09:33:02.8178440Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8178512Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8178580Z graph_break [] 2025-12-04T09:33:02.8178708Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8179163Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8179243Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8179371Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8179523Z unimplemented [] 2025-12-04T09:33:02.8179615Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8179689Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8179757Z graph_break [] 2025-12-04T09:33:02.8179918Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8180374Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8180454Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8180580Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8180651Z unimplemented [] 2025-12-04T09:33:02.8180747Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8180820Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8180888Z graph_break [] 2025-12-04T09:33:02.8181059Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8181522Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8181606Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8181736Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8181804Z unimplemented [] 2025-12-04T09:33:02.8181899Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8181971Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8182037Z graph_break [] 2025-12-04T09:33:02.8182162Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8182613Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8182694Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8182818Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8182879Z unimplemented [] 2025-12-04T09:33:02.8182980Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8183052Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8183122Z graph_break [] 2025-12-04T09:33:02.8183247Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8183702Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8183778Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8183903Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8183966Z unimplemented [] 2025-12-04T09:33:02.8184065Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8184143Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8184218Z graph_break [] 2025-12-04T09:33:02.8184344Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8184800Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8184876Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8185002Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8185066Z unimplemented [] 2025-12-04T09:33:02.8185164Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8185236Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8185303Z graph_break [] 2025-12-04T09:33:02.8185431Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8185880Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8186050Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8186210Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8186275Z unimplemented [] 2025-12-04T09:33:02.8186373Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8186445Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8186507Z graph_break [] 2025-12-04T09:33:02.8186641Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8187098Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8187178Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8187302Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8187404Z unimplemented [] 2025-12-04T09:33:02.8187505Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8187576Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8187636Z graph_break [] 2025-12-04T09:33:02.8187771Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8188229Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8188309Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8188434Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8188497Z unimplemented [] 2025-12-04T09:33:02.8188597Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8188666Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8188728Z graph_break [] 2025-12-04T09:33:02.8188859Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8189318Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8189402Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8189532Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8189605Z unimplemented [] 2025-12-04T09:33:02.8189705Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8189777Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8189838Z graph_break [] 2025-12-04T09:33:02.8189972Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8190431Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8190512Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8190640Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8190704Z unimplemented [] 2025-12-04T09:33:02.8190807Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8190880Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8190943Z graph_break [] 2025-12-04T09:33:02.8191076Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8191531Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8191608Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8191733Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8191797Z unimplemented [] 2025-12-04T09:33:02.8191901Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8192032Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8192132Z graph_break [] 2025-12-04T09:33:02.8192266Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8192761Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8192841Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8192967Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8193032Z unimplemented [] 2025-12-04T09:33:02.8193132Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8193212Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8193274Z graph_break [] 2025-12-04T09:33:02.8193408Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8193914Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8194000Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8194127Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8194193Z unimplemented [] 2025-12-04T09:33:02.8194293Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8194365Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8194426Z graph_break [] 2025-12-04T09:33:02.8194557Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8195015Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8195093Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8195222Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8195292Z unimplemented [] 2025-12-04T09:33:02.8195392Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8195465Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8195528Z graph_break [] 2025-12-04T09:33:02.8195663Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8196122Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8196202Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8196327Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8196390Z unimplemented [] 2025-12-04T09:33:02.8196489Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8196561Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8196622Z graph_break [] 2025-12-04T09:33:02.8196755Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8197215Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8197287Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8197487Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.8197566Z Traceback (most recent call last): 2025-12-04T09:33:02.8197808Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.8197873Z return value(self) 2025-12-04T09:33:02.8198171Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.8198266Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.8198545Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.8198737Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.8199055Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.8199222Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.8199323Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8199327Z 2025-12-04T09:33:02.8199405Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8199595Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8199796Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8199800Z 2025-12-04T09:33:02.8199930Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8200232Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8200239Z 2025-12-04T09:33:02.8200437Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8200571Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8200655Z unimplemented [] 2025-12-04T09:33:02.8200757Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8200831Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8200898Z graph_break [] 2025-12-04T09:33:02.8201024Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8201491Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8201563Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8201689Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8201759Z unimplemented [] 2025-12-04T09:33:02.8201860Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8201932Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8202002Z graph_break [] 2025-12-04T09:33:02.8202126Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8202588Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8202661Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8202787Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8202857Z unimplemented [] 2025-12-04T09:33:02.8202951Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8203024Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8203093Z graph_break [] 2025-12-04T09:33:02.8203219Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8203680Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8203751Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8203877Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8203948Z unimplemented [] 2025-12-04T09:33:02.8204046Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8204119Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8204190Z graph_break [] 2025-12-04T09:33:02.8204319Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8204778Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8204848Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8205022Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8205127Z unimplemented [] 2025-12-04T09:33:02.8205219Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8205290Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8205394Z graph_break [] 2025-12-04T09:33:02.8205522Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8205984Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8206056Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8206181Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8206258Z unimplemented [] 2025-12-04T09:33:02.8206357Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8206432Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8206504Z graph_break [] 2025-12-04T09:33:02.8206672Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8207128Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8207208Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8207333Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8207405Z unimplemented [] 2025-12-04T09:33:02.8207499Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8207573Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8207642Z graph_break [] 2025-12-04T09:33:02.8207769Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8208225Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8208305Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8208431Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8208509Z unimplemented [] 2025-12-04T09:33:02.8208610Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8208686Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8208754Z graph_break [] 2025-12-04T09:33:02.8208881Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8209336Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8209414Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8209540Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8209609Z unimplemented [] 2025-12-04T09:33:02.8209709Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8209784Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8209854Z graph_break [] 2025-12-04T09:33:02.8209978Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8210433Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8210510Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8210636Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8210703Z unimplemented [] 2025-12-04T09:33:02.8210796Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8210867Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8210933Z graph_break [] 2025-12-04T09:33:02.8211058Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8211573Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8211687Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8211845Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8211916Z unimplemented [] 2025-12-04T09:33:02.8212293Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8212423Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8212493Z graph_break [] 2025-12-04T09:33:02.8212625Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8213083Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8213160Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8213369Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8213441Z unimplemented [] 2025-12-04T09:33:02.8213545Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8213618Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8213687Z graph_break [] 2025-12-04T09:33:02.8213813Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8214270Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8214345Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8214469Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8214533Z unimplemented [] 2025-12-04T09:33:02.8214640Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8214721Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8214787Z graph_break [] 2025-12-04T09:33:02.8214918Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8215373Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8215450Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8215577Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8215642Z unimplemented [] 2025-12-04T09:33:02.8215740Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8215810Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8215878Z graph_break [] 2025-12-04T09:33:02.8216006Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8216456Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8216535Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8216660Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8216724Z unimplemented [] 2025-12-04T09:33:02.8216829Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8216901Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8216964Z graph_break [] 2025-12-04T09:33:02.8217097Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8217550Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8217627Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8217751Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8217817Z unimplemented [] 2025-12-04T09:33:02.8217918Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8218226Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8218288Z graph_break [] 2025-12-04T09:33:02.8218423Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8218930Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8219008Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8219136Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8219199Z unimplemented [] 2025-12-04T09:33:02.8219299Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8219372Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8219434Z graph_break [] 2025-12-04T09:33:02.8219566Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8220052Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8220135Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8220263Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8220328Z unimplemented [] 2025-12-04T09:33:02.8220429Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8220500Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8220565Z graph_break [] 2025-12-04T09:33:02.8220698Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8221153Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8221230Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8221357Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8221425Z unimplemented [] 2025-12-04T09:33:02.8221526Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8221598Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8221660Z graph_break [] 2025-12-04T09:33:02.8221805Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8222261Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8222340Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8222467Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8222532Z unimplemented [] 2025-12-04T09:33:02.8222634Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8222708Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8222769Z graph_break [] 2025-12-04T09:33:02.8222909Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8223366Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8223444Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8223573Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8223637Z unimplemented [] 2025-12-04T09:33:02.8223737Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8223808Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8223869Z graph_break [] 2025-12-04T09:33:02.8224000Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8224454Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8224610Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8224744Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8224808Z unimplemented [] 2025-12-04T09:33:02.8224940Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8225013Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8225073Z graph_break [] 2025-12-04T09:33:02.8225204Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8225658Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8225727Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8225859Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8225921Z unimplemented [] 2025-12-04T09:33:02.8226020Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8226130Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8226203Z graph_break [] 2025-12-04T09:33:02.8226336Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8226792Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8226862Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8226997Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8227063Z unimplemented [] 2025-12-04T09:33:02.8227163Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8227234Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8227293Z graph_break [] 2025-12-04T09:33:02.8227427Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8227881Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8227954Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8228087Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8228149Z unimplemented [] 2025-12-04T09:33:02.8228243Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8228321Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8228382Z graph_break [] 2025-12-04T09:33:02.8228516Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8228969Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8229040Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8229172Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8229241Z unimplemented [] 2025-12-04T09:33:02.8229333Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8229413Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8229475Z graph_break [] 2025-12-04T09:33:02.8229608Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8230060Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8230130Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8230260Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8230325Z unimplemented [] 2025-12-04T09:33:02.8230418Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8230496Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8230559Z graph_break [] 2025-12-04T09:33:02.8230753Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8231275Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8231347Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8231480Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8231547Z unimplemented [] 2025-12-04T09:33:02.8231641Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8231720Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8231781Z graph_break [] 2025-12-04T09:33:02.8231909Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8232370Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8232502Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8232635Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8232698Z unimplemented [] 2025-12-04T09:33:02.8232802Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8232881Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8232943Z graph_break [] 2025-12-04T09:33:02.8233071Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8233536Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8233608Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8233741Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8233806Z unimplemented [] 2025-12-04T09:33:02.8233902Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8233986Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8234049Z graph_break [] 2025-12-04T09:33:02.8234174Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8234637Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8234708Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8234839Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8234904Z unimplemented [] 2025-12-04T09:33:02.8234997Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8235074Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8235135Z graph_break [] 2025-12-04T09:33:02.8235259Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8235720Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8235795Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8235931Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8235995Z unimplemented [] 2025-12-04T09:33:02.8236090Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8236169Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8236232Z graph_break [] 2025-12-04T09:33:02.8236358Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8236823Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8236893Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8237027Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8237179Z unimplemented [] 2025-12-04T09:33:02.8237273Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8237351Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8237415Z graph_break [] 2025-12-04T09:33:02.8237575Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8238039Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8238109Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8238240Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8238306Z unimplemented [] 2025-12-04T09:33:02.8238399Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8238476Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8238536Z graph_break [] 2025-12-04T09:33:02.8238695Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8239158Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8239228Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8239358Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8239420Z unimplemented [] 2025-12-04T09:33:02.8239511Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8239587Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8239648Z graph_break [] 2025-12-04T09:33:02.8239773Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8240229Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8240307Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8240433Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8240504Z unimplemented [] 2025-12-04T09:33:02.8240598Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8240679Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8240741Z graph_break [] 2025-12-04T09:33:02.8240867Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8241324Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8241397Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8241520Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8241589Z unimplemented [] 2025-12-04T09:33:02.8241682Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8241762Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8241826Z graph_break [] 2025-12-04T09:33:02.8241951Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8242413Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8242483Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8242608Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8242677Z unimplemented [] 2025-12-04T09:33:02.8242770Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8242847Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8242911Z graph_break [] 2025-12-04T09:33:02.8243035Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8243499Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8243654Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8243813Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8243889Z unimplemented [] 2025-12-04T09:33:02.8243983Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8244055Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8244126Z graph_break [] 2025-12-04T09:33:02.8244253Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8244711Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8244781Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8244906Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8245094Z unimplemented [] 2025-12-04T09:33:02.8245190Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8245261Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8245328Z graph_break [] 2025-12-04T09:33:02.8245455Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8245917Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8245987Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8246123Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8246195Z unimplemented [] 2025-12-04T09:33:02.8246289Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8246362Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8246429Z graph_break [] 2025-12-04T09:33:02.8246556Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8247030Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8247101Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8247227Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8247297Z unimplemented [] 2025-12-04T09:33:02.8247389Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8247463Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8247531Z graph_break [] 2025-12-04T09:33:02.8247656Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8248115Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8248185Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8248315Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8248388Z unimplemented [] 2025-12-04T09:33:02.8248483Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8248557Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8248627Z graph_break [] 2025-12-04T09:33:02.8248755Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8249217Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8249286Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8249414Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8249490Z unimplemented [] 2025-12-04T09:33:02.8249584Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8249702Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8249811Z graph_break [] 2025-12-04T09:33:02.8249938Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8250428Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8250506Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8250700Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.8250783Z Traceback (most recent call last): 2025-12-04T09:33:02.8251022Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.8251087Z return value(self) 2025-12-04T09:33:02.8251390Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.8251478Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.8251793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.8251898Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.8252215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.8252350Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.8252440Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8252444Z 2025-12-04T09:33:02.8252523Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8252715Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8252907Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8252911Z 2025-12-04T09:33:02.8253043Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8253343Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8253350Z 2025-12-04T09:33:02.8253511Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8253648Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8253712Z unimplemented [] 2025-12-04T09:33:02.8253817Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8253889Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8253953Z graph_break [] 2025-12-04T09:33:02.8254096Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8254559Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8254632Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8254767Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8254833Z unimplemented [] 2025-12-04T09:33:02.8254926Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8255004Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8255068Z graph_break [] 2025-12-04T09:33:02.8255198Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8255656Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8255726Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8255857Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8255921Z unimplemented [] 2025-12-04T09:33:02.8256015Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8256091Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8256198Z graph_break [] 2025-12-04T09:33:02.8256365Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8256872Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8256943Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8257075Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8257138Z unimplemented [] 2025-12-04T09:33:02.8257233Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8257314Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8257375Z graph_break [] 2025-12-04T09:33:02.8257509Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8257996Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8258169Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8258306Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8258371Z unimplemented [] 2025-12-04T09:33:02.8258466Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8258546Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8258608Z graph_break [] 2025-12-04T09:33:02.8258733Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8259194Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8259265Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8259409Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8259474Z unimplemented [] 2025-12-04T09:33:02.8259572Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8259654Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8259716Z graph_break [] 2025-12-04T09:33:02.8259841Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8260308Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8260380Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8260511Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8260578Z unimplemented [] 2025-12-04T09:33:02.8260672Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8260751Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8260817Z graph_break [] 2025-12-04T09:33:02.8260947Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8261410Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8261485Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8261621Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8261686Z unimplemented [] 2025-12-04T09:33:02.8261779Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8261856Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8261919Z graph_break [] 2025-12-04T09:33:02.8262048Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8262511Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8262583Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8262718Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8262863Z unimplemented [] 2025-12-04T09:33:02.8262956Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8263037Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8263137Z graph_break [] 2025-12-04T09:33:02.8263275Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8263739Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8263813Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8263944Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8264007Z unimplemented [] 2025-12-04T09:33:02.8264100Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8264177Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8264239Z graph_break [] 2025-12-04T09:33:02.8264403Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8264865Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8264935Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8265065Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8265127Z unimplemented [] 2025-12-04T09:33:02.8265219Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8265294Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8265355Z graph_break [] 2025-12-04T09:33:02.8265480Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8265937Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8266012Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8266147Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8266218Z unimplemented [] 2025-12-04T09:33:02.8266313Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8266389Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8266450Z graph_break [] 2025-12-04T09:33:02.8266575Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8267033Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8267103Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8267230Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8267298Z unimplemented [] 2025-12-04T09:33:02.8267392Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8267473Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8267534Z graph_break [] 2025-12-04T09:33:02.8267658Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8268118Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8268189Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8268313Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8268383Z unimplemented [] 2025-12-04T09:33:02.8268474Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8268551Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8268613Z graph_break [] 2025-12-04T09:33:02.8268738Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8269209Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8269374Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8269541Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8269614Z unimplemented [] 2025-12-04T09:33:02.8269711Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8269788Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8269850Z graph_break [] 2025-12-04T09:33:02.8269976Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8270458Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8270531Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8270701Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8270777Z unimplemented [] 2025-12-04T09:33:02.8270873Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8270950Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8271017Z graph_break [] 2025-12-04T09:33:02.8271146Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8271613Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8271686Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8271812Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8271882Z unimplemented [] 2025-12-04T09:33:02.8271974Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8272058Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8272127Z graph_break [] 2025-12-04T09:33:02.8272257Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8272724Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8272796Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8272920Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8272990Z unimplemented [] 2025-12-04T09:33:02.8273085Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8273157Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8273226Z graph_break [] 2025-12-04T09:33:02.8273353Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8273816Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8273898Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8274026Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8274098Z unimplemented [] 2025-12-04T09:33:02.8274197Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8274271Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8274341Z graph_break [] 2025-12-04T09:33:02.8274468Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8274933Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8275006Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8275132Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8275208Z unimplemented [] 2025-12-04T09:33:02.8275303Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8275455Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8275524Z graph_break [] 2025-12-04T09:33:02.8275650Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8276147Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8276221Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8276346Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8276418Z unimplemented [] 2025-12-04T09:33:02.8276511Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8276584Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8276653Z graph_break [] 2025-12-04T09:33:02.8276783Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8277283Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8277364Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8277491Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8277559Z unimplemented [] 2025-12-04T09:33:02.8277651Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8277722Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8277787Z graph_break [] 2025-12-04T09:33:02.8277911Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8278366Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8278442Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8278566Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8278642Z unimplemented [] 2025-12-04T09:33:02.8278734Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8278805Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8278875Z graph_break [] 2025-12-04T09:33:02.8279001Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8279454Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8279528Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8279653Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8279722Z unimplemented [] 2025-12-04T09:33:02.8279813Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8279886Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8279955Z graph_break [] 2025-12-04T09:33:02.8280082Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8280547Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8280625Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8280750Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8280819Z unimplemented [] 2025-12-04T09:33:02.8280911Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8280983Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8281050Z graph_break [] 2025-12-04T09:33:02.8281176Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8281630Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8281803Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8281928Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8281997Z unimplemented [] 2025-12-04T09:33:02.8282124Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8282198Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8282265Z graph_break [] 2025-12-04T09:33:02.8282390Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8282845Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8282922Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8283045Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8283111Z unimplemented [] 2025-12-04T09:33:02.8283209Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8283324Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8283404Z graph_break [] 2025-12-04T09:33:02.8283532Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8283990Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8284069Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8284193Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8284257Z unimplemented [] 2025-12-04T09:33:02.8284357Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8284431Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8284498Z graph_break [] 2025-12-04T09:33:02.8284625Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8285078Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8285160Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8285286Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8285352Z unimplemented [] 2025-12-04T09:33:02.8285453Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8285524Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8285593Z graph_break [] 2025-12-04T09:33:02.8285719Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8286169Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8286246Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8286376Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8286444Z unimplemented [] 2025-12-04T09:33:02.8286544Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8286617Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8286678Z graph_break [] 2025-12-04T09:33:02.8286814Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8287268Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8287354Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8287482Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8287546Z unimplemented [] 2025-12-04T09:33:02.8287647Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8287717Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8287781Z graph_break [] 2025-12-04T09:33:02.8287915Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8288450Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8288564Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8288692Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8288756Z unimplemented [] 2025-12-04T09:33:02.8288859Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8288933Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8288997Z graph_break [] 2025-12-04T09:33:02.8289134Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8289591Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8289704Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8289846Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8289915Z unimplemented [] 2025-12-04T09:33:02.8290023Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8290104Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8290166Z graph_break [] 2025-12-04T09:33:02.8290299Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8290751Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8290826Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8290952Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8291015Z unimplemented [] 2025-12-04T09:33:02.8291116Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8291191Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8291252Z graph_break [] 2025-12-04T09:33:02.8291383Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8291848Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8291924Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8292050Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8292113Z unimplemented [] 2025-12-04T09:33:02.8292213Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8292284Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8292344Z graph_break [] 2025-12-04T09:33:02.8292476Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8292939Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8293019Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8293147Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8293211Z unimplemented [] 2025-12-04T09:33:02.8293310Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8293382Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8293442Z graph_break [] 2025-12-04T09:33:02.8293574Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8294030Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8294102Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8294234Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8294387Z unimplemented [] 2025-12-04T09:33:02.8294488Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8294558Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8294620Z graph_break [] 2025-12-04T09:33:02.8294789Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8295253Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8295324Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8295456Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8295518Z unimplemented [] 2025-12-04T09:33:02.8295620Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8295692Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8295754Z graph_break [] 2025-12-04T09:33:02.8295942Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8296412Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8296491Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8296633Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8296701Z unimplemented [] 2025-12-04T09:33:02.8296810Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8296887Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8296951Z graph_break [] 2025-12-04T09:33:02.8297091Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8297551Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8297625Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8297768Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8297833Z unimplemented [] 2025-12-04T09:33:02.8297929Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8298011Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8298158Z graph_break [] 2025-12-04T09:33:02.8298292Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8298750Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8298821Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8298954Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8299018Z unimplemented [] 2025-12-04T09:33:02.8299112Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8299191Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8299258Z graph_break [] 2025-12-04T09:33:02.8299391Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8299847Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8299919Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8300065Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8304693Z unimplemented [] 2025-12-04T09:33:02.8304842Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8304933Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8305000Z graph_break [] 2025-12-04T09:33:02.8305151Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8305662Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8305858Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8306002Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8306108Z unimplemented [] 2025-12-04T09:33:02.8306218Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8306302Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8306365Z graph_break [] 2025-12-04T09:33:02.8306494Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8306980Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8307055Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8307188Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8307258Z unimplemented [] 2025-12-04T09:33:02.8307393Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8307475Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8307540Z graph_break [] 2025-12-04T09:33:02.8307672Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8308140Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8308212Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8308345Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8308410Z unimplemented [] 2025-12-04T09:33:02.8308503Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8308583Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8308646Z graph_break [] 2025-12-04T09:33:02.8308770Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8309248Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8309323Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8309527Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.8309605Z Traceback (most recent call last): 2025-12-04T09:33:02.8309856Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.8309932Z return value(self) 2025-12-04T09:33:02.8310248Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.8310340Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.8310638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.8310751Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.8311076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.8311209Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.8311301Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8311306Z 2025-12-04T09:33:02.8311387Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8311577Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8311780Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8311784Z 2025-12-04T09:33:02.8311922Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8312493Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8312608Z 2025-12-04T09:33:02.8312842Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8312980Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8313047Z unimplemented [] 2025-12-04T09:33:02.8313215Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8313292Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8313368Z graph_break [] 2025-12-04T09:33:02.8313506Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8313981Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8314064Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8314194Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8314259Z unimplemented [] 2025-12-04T09:33:02.8314424Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8314502Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8314575Z graph_break [] 2025-12-04T09:33:02.8314700Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8315166Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8315247Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8315382Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8315446Z unimplemented [] 2025-12-04T09:33:02.8315553Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8315627Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8315696Z graph_break [] 2025-12-04T09:33:02.8315824Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8316293Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8316372Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8316505Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8316577Z unimplemented [] 2025-12-04T09:33:02.8316679Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8316753Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8316815Z graph_break [] 2025-12-04T09:33:02.8316951Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8317413Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8317491Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8317618Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8317684Z unimplemented [] 2025-12-04T09:33:02.8317789Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8317864Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8317929Z graph_break [] 2025-12-04T09:33:02.8318063Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8318520Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8318598Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8318723Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8318786Z unimplemented [] 2025-12-04T09:33:02.8318887Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8318958Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8319020Z graph_break [] 2025-12-04T09:33:02.8319246Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8319740Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8319822Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8319947Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8320012Z unimplemented [] 2025-12-04T09:33:02.8320118Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8320191Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8320253Z graph_break [] 2025-12-04T09:33:02.8320384Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8320840Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8320956Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8321086Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8321152Z unimplemented [] 2025-12-04T09:33:02.8321255Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8321329Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8321392Z graph_break [] 2025-12-04T09:33:02.8321526Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8321980Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8322060Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8322186Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8322252Z unimplemented [] 2025-12-04T09:33:02.8322356Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8322433Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8322496Z graph_break [] 2025-12-04T09:33:02.8322628Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8323086Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8323164Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8323288Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8323364Z unimplemented [] 2025-12-04T09:33:02.8323467Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8323540Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8323603Z graph_break [] 2025-12-04T09:33:02.8323734Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8324190Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8324264Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8324397Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8324461Z unimplemented [] 2025-12-04T09:33:02.8324560Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8324630Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8324691Z graph_break [] 2025-12-04T09:33:02.8324822Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8325272Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8325341Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8325481Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8325627Z unimplemented [] 2025-12-04T09:33:02.8325723Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8325802Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8325864Z graph_break [] 2025-12-04T09:33:02.8326027Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8326500Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8326571Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8326701Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8326765Z unimplemented [] 2025-12-04T09:33:02.8326867Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8326946Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8327008Z graph_break [] 2025-12-04T09:33:02.8327176Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8327650Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8327722Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8327853Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8327917Z unimplemented [] 2025-12-04T09:33:02.8328010Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8328090Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8328150Z graph_break [] 2025-12-04T09:33:02.8328274Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8328737Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8328812Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8328945Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8329011Z unimplemented [] 2025-12-04T09:33:02.8329106Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8329184Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8329249Z graph_break [] 2025-12-04T09:33:02.8329374Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8329836Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8329905Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8330037Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8330103Z unimplemented [] 2025-12-04T09:33:02.8330195Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8330279Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8330343Z graph_break [] 2025-12-04T09:33:02.8330471Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8330937Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8331006Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8331131Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8331201Z unimplemented [] 2025-12-04T09:33:02.8331293Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8331369Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8331430Z graph_break [] 2025-12-04T09:33:02.8331555Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8332015Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8332164Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8332324Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8332395Z unimplemented [] 2025-12-04T09:33:02.8332487Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8332561Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8332621Z graph_break [] 2025-12-04T09:33:02.8332744Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8333212Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8333281Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8333405Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8333534Z unimplemented [] 2025-12-04T09:33:02.8333629Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8333715Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8333777Z graph_break [] 2025-12-04T09:33:02.8333909Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8334368Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8334438Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8334561Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8334628Z unimplemented [] 2025-12-04T09:33:02.8334720Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8334790Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8334856Z graph_break [] 2025-12-04T09:33:02.8334985Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8335450Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8335519Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8335643Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8335713Z unimplemented [] 2025-12-04T09:33:02.8335807Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8335879Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8335947Z graph_break [] 2025-12-04T09:33:02.8336071Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8336538Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8336613Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8336738Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8336810Z unimplemented [] 2025-12-04T09:33:02.8336904Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8336976Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8337046Z graph_break [] 2025-12-04T09:33:02.8337172Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8337636Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8337711Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8337836Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8337908Z unimplemented [] 2025-12-04T09:33:02.8338002Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8338249Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8338319Z graph_break [] 2025-12-04T09:33:02.8338445Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8338945Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8339018Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8339142Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8339212Z unimplemented [] 2025-12-04T09:33:02.8339306Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8339377Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8339445Z graph_break [] 2025-12-04T09:33:02.8339569Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8340063Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8340139Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8340265Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8340335Z unimplemented [] 2025-12-04T09:33:02.8340429Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8340500Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8340567Z graph_break [] 2025-12-04T09:33:02.8340691Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8341145Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8341231Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8341358Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8341434Z unimplemented [] 2025-12-04T09:33:02.8341527Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8341598Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8341666Z graph_break [] 2025-12-04T09:33:02.8341794Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8342248Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8342328Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8342454Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8342525Z unimplemented [] 2025-12-04T09:33:02.8342617Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8342694Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8342767Z graph_break [] 2025-12-04T09:33:02.8342895Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8343355Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8343438Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8343563Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8343635Z unimplemented [] 2025-12-04T09:33:02.8343725Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8343797Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8343863Z graph_break [] 2025-12-04T09:33:02.8343999Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8344454Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8344577Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8344736Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8344805Z unimplemented [] 2025-12-04T09:33:02.8344899Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8345007Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8345076Z graph_break [] 2025-12-04T09:33:02.8345202Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8345656Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8345735Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8345858Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8345919Z unimplemented [] 2025-12-04T09:33:02.8346020Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8346128Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8346198Z graph_break [] 2025-12-04T09:33:02.8346322Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8346777Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8346854Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8346977Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8347039Z unimplemented [] 2025-12-04T09:33:02.8347141Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8347211Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8347276Z graph_break [] 2025-12-04T09:33:02.8347401Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8347855Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8347936Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8348063Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8348126Z unimplemented [] 2025-12-04T09:33:02.8348226Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8348296Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8348363Z graph_break [] 2025-12-04T09:33:02.8348488Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8348938Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8349014Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8349142Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8349210Z unimplemented [] 2025-12-04T09:33:02.8349309Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8349380Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8349454Z graph_break [] 2025-12-04T09:33:02.8349588Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8350043Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8350118Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8350242Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8350305Z unimplemented [] 2025-12-04T09:33:02.8350405Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8350474Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8350535Z graph_break [] 2025-12-04T09:33:02.8350668Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8351201Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8351392Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8351520Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8351584Z unimplemented [] 2025-12-04T09:33:02.8351684Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8351755Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8351816Z graph_break [] 2025-12-04T09:33:02.8351947Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8352404Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8352480Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8352645Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8352711Z unimplemented [] 2025-12-04T09:33:02.8352809Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8352885Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8352945Z graph_break [] 2025-12-04T09:33:02.8353079Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8353531Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8353607Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8353731Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8353795Z unimplemented [] 2025-12-04T09:33:02.8353895Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8353967Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8354032Z graph_break [] 2025-12-04T09:33:02.8354179Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8354636Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8354715Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8354843Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8354907Z unimplemented [] 2025-12-04T09:33:02.8355007Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8355078Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8355141Z graph_break [] 2025-12-04T09:33:02.8355273Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8355731Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8355811Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8355939Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8356010Z unimplemented [] 2025-12-04T09:33:02.8356110Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8356182Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8356243Z graph_break [] 2025-12-04T09:33:02.8356373Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8356829Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8356904Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8357029Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8357145Z unimplemented [] 2025-12-04T09:33:02.8357279Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8357350Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8357412Z graph_break [] 2025-12-04T09:33:02.8357596Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8358054Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8358123Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8358253Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8358315Z unimplemented [] 2025-12-04T09:33:02.8358410Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8358483Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8358548Z graph_break [] 2025-12-04T09:33:02.8358689Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8359184Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8359269Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8359395Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8359458Z unimplemented [] 2025-12-04T09:33:02.8359558Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8359631Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8359693Z graph_break [] 2025-12-04T09:33:02.8359823Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8360278Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8360355Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8360486Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8360553Z unimplemented [] 2025-12-04T09:33:02.8360651Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8360723Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8360786Z graph_break [] 2025-12-04T09:33:02.8360916Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8361370Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8361445Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8361568Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8361630Z unimplemented [] 2025-12-04T09:33:02.8361728Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8361797Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8361863Z graph_break [] 2025-12-04T09:33:02.8361992Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8362448Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8362522Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8362645Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8362709Z unimplemented [] 2025-12-04T09:33:02.8362805Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8362876Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8362934Z graph_break [] 2025-12-04T09:33:02.8363064Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8363518Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8363679Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8363804Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8363901Z unimplemented [] 2025-12-04T09:33:02.8364004Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8364075Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8364134Z graph_break [] 2025-12-04T09:33:02.8364265Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8364719Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8364796Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8364988Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.8365066Z Traceback (most recent call last): 2025-12-04T09:33:02.8365360Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.8365430Z return value(self) 2025-12-04T09:33:02.8365733Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.8365829Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.8366110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.8366221Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.8366536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.8366667Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.8366766Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8366770Z 2025-12-04T09:33:02.8366850Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8367040Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8367243Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8367249Z 2025-12-04T09:33:02.8367378Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8367689Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8367692Z 2025-12-04T09:33:02.8367859Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8367990Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8368061Z unimplemented [] 2025-12-04T09:33:02.8368158Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8368237Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8368301Z graph_break [] 2025-12-04T09:33:02.8368436Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8368920Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8368994Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8369119Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8369190Z unimplemented [] 2025-12-04T09:33:02.8369285Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8369357Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8369426Z graph_break [] 2025-12-04T09:33:02.8369549Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8370010Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8370160Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8370287Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8370357Z unimplemented [] 2025-12-04T09:33:02.8370486Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8370562Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8370630Z graph_break [] 2025-12-04T09:33:02.8370755Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8371215Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8371296Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8371423Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8371495Z unimplemented [] 2025-12-04T09:33:02.8371623Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8371703Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8371772Z graph_break [] 2025-12-04T09:33:02.8371897Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8372355Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8372426Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8372551Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8372621Z unimplemented [] 2025-12-04T09:33:02.8372713Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8372783Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8372856Z graph_break [] 2025-12-04T09:33:02.8372980Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8373444Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8373517Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8373644Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8373715Z unimplemented [] 2025-12-04T09:33:02.8373808Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8373878Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8373946Z graph_break [] 2025-12-04T09:33:02.8374069Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8374526Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8374595Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8374732Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8374805Z unimplemented [] 2025-12-04T09:33:02.8374899Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8374971Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8375038Z graph_break [] 2025-12-04T09:33:02.8375163Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8375619Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8375693Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8375820Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8375888Z unimplemented [] 2025-12-04T09:33:02.8375979Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8376052Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8376120Z graph_break [] 2025-12-04T09:33:02.8376290Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8376810Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8376888Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8377012Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8377084Z unimplemented [] 2025-12-04T09:33:02.8377176Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8377247Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8377315Z graph_break [] 2025-12-04T09:33:02.8377441Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8377891Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8378004Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8378214Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8378282Z unimplemented [] 2025-12-04T09:33:02.8378377Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8378450Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8378528Z graph_break [] 2025-12-04T09:33:02.8378653Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8379109Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8379183Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8379308Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8379380Z unimplemented [] 2025-12-04T09:33:02.8379473Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8379549Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8379619Z graph_break [] 2025-12-04T09:33:02.8379742Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8380193Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8380269Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8380394Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8380465Z unimplemented [] 2025-12-04T09:33:02.8380558Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8380629Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8380694Z graph_break [] 2025-12-04T09:33:02.8380817Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8381273Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8381352Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8381480Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8381545Z unimplemented [] 2025-12-04T09:33:02.8381641Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8381712Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8381780Z graph_break [] 2025-12-04T09:33:02.8381907Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8382358Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8382434Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8382558Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8382730Z unimplemented [] 2025-12-04T09:33:02.8382831Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8382902Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8382968Z graph_break [] 2025-12-04T09:33:02.8383127Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8383587Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8383668Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8383796Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8383861Z unimplemented [] 2025-12-04T09:33:02.8383961Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8384035Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8384103Z graph_break [] 2025-12-04T09:33:02.8384267Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8384731Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8384809Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8384940Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8385004Z unimplemented [] 2025-12-04T09:33:02.8385108Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8385185Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8385246Z graph_break [] 2025-12-04T09:33:02.8385379Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8385836Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8385918Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8386044Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8386109Z unimplemented [] 2025-12-04T09:33:02.8386209Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8386285Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8386348Z graph_break [] 2025-12-04T09:33:02.8386477Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8386929Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8387003Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8387128Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8387191Z unimplemented [] 2025-12-04T09:33:02.8387289Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8387364Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8387425Z graph_break [] 2025-12-04T09:33:02.8387558Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8388014Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8388097Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8388232Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8388295Z unimplemented [] 2025-12-04T09:33:02.8388392Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8388464Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8388524Z graph_break [] 2025-12-04T09:33:02.8388655Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8389108Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8389351Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8389511Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8389575Z unimplemented [] 2025-12-04T09:33:02.8389671Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8389743Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8389806Z graph_break [] 2025-12-04T09:33:02.8389937Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8390390Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8390464Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8390588Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8390690Z unimplemented [] 2025-12-04T09:33:02.8390792Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8390862Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8390924Z graph_break [] 2025-12-04T09:33:02.8391056Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8391507Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8391587Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8391710Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8391772Z unimplemented [] 2025-12-04T09:33:02.8391869Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8391943Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8392004Z graph_break [] 2025-12-04T09:33:02.8392141Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8392601Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8392674Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8392806Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8392869Z unimplemented [] 2025-12-04T09:33:02.8392968Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8393038Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8393099Z graph_break [] 2025-12-04T09:33:02.8393231Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8393682Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8393755Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8393889Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8393953Z unimplemented [] 2025-12-04T09:33:02.8394065Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8394140Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8394201Z graph_break [] 2025-12-04T09:33:02.8394331Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8394786Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8394855Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8394984Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8395049Z unimplemented [] 2025-12-04T09:33:02.8395146Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8395265Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8395361Z graph_break [] 2025-12-04T09:33:02.8395495Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8395991Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8396066Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8396200Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8396263Z unimplemented [] 2025-12-04T09:33:02.8396360Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8396430Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8396491Z graph_break [] 2025-12-04T09:33:02.8396624Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8397116Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8397194Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8397329Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8397393Z unimplemented [] 2025-12-04T09:33:02.8397486Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8397576Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8397639Z graph_break [] 2025-12-04T09:33:02.8397769Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8398222Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8398292Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8398425Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8398494Z unimplemented [] 2025-12-04T09:33:02.8398588Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8398666Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8398728Z graph_break [] 2025-12-04T09:33:02.8398864Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8399327Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8399402Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8399542Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8399608Z unimplemented [] 2025-12-04T09:33:02.8399707Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8399790Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8399851Z graph_break [] 2025-12-04T09:33:02.8399986Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8400445Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8400520Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8400651Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8400714Z unimplemented [] 2025-12-04T09:33:02.8400807Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8400885Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8400946Z graph_break [] 2025-12-04T09:33:02.8401071Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8401532Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8401603Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8401809Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8401874Z unimplemented [] 2025-12-04T09:33:02.8401966Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8402080Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8402155Z graph_break [] 2025-12-04T09:33:02.8402284Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8402741Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8402811Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8402940Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8403003Z unimplemented [] 2025-12-04T09:33:02.8403094Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8403174Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8403285Z graph_break [] 2025-12-04T09:33:02.8403412Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8403871Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8403941Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8404071Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8404134Z unimplemented [] 2025-12-04T09:33:02.8404227Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8404304Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8404365Z graph_break [] 2025-12-04T09:33:02.8404490Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8404950Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8405024Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8405155Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8405220Z unimplemented [] 2025-12-04T09:33:02.8405312Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8405389Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8405450Z graph_break [] 2025-12-04T09:33:02.8405577Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8406035Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8406104Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8406235Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8406301Z unimplemented [] 2025-12-04T09:33:02.8406396Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8406474Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8406537Z graph_break [] 2025-12-04T09:33:02.8406664Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8407122Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8407192Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8407322Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8407386Z unimplemented [] 2025-12-04T09:33:02.8407479Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8407556Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8407618Z graph_break [] 2025-12-04T09:33:02.8407743Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8408314Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8408423Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8408550Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8408620Z unimplemented [] 2025-12-04T09:33:02.8408712Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8408789Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8408849Z graph_break [] 2025-12-04T09:33:02.8408974Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8409433Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8409505Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8409669Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8409745Z unimplemented [] 2025-12-04T09:33:02.8409837Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8409920Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8409983Z graph_break [] 2025-12-04T09:33:02.8410108Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8410567Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8410638Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8410766Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8410836Z unimplemented [] 2025-12-04T09:33:02.8410929Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8411007Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8411073Z graph_break [] 2025-12-04T09:33:02.8411197Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8411677Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8411748Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8411875Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8411945Z unimplemented [] 2025-12-04T09:33:02.8412363Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8412446Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8412506Z graph_break [] 2025-12-04T09:33:02.8412637Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8413099Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8413172Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8413296Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8413369Z unimplemented [] 2025-12-04T09:33:02.8413462Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8413543Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8413605Z graph_break [] 2025-12-04T09:33:02.8413731Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8414193Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8414264Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8414395Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8414475Z unimplemented [] 2025-12-04T09:33:02.8414717Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8414798Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8414863Z graph_break [] 2025-12-04T09:33:02.8415046Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8415510Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8415580Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8415704Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8415772Z unimplemented [] 2025-12-04T09:33:02.8415864Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8415936Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8416003Z graph_break [] 2025-12-04T09:33:02.8416128Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8416651Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8416725Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8416852Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8416921Z unimplemented [] 2025-12-04T09:33:02.8417011Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8417083Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8417148Z graph_break [] 2025-12-04T09:33:02.8417272Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8417728Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8417797Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8417927Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8417997Z unimplemented [] 2025-12-04T09:33:02.8418175Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8418252Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8418321Z graph_break [] 2025-12-04T09:33:02.8418444Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8418901Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8418970Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8419096Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8419165Z unimplemented [] 2025-12-04T09:33:02.8419256Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8419328Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8419401Z graph_break [] 2025-12-04T09:33:02.8419528Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8419990Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8420062Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8420188Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8420256Z unimplemented [] 2025-12-04T09:33:02.8420349Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8420419Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8420488Z graph_break [] 2025-12-04T09:33:02.8420624Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8421087Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8421240Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8421435Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.8421554Z Traceback (most recent call last): 2025-12-04T09:33:02.8421797Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.8421864Z return value(self) 2025-12-04T09:33:02.8422170Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.8422263Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.8422555Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.8422660Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.8423013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.8423154Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.8423246Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8423250Z 2025-12-04T09:33:02.8423328Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8423523Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8423716Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8423720Z 2025-12-04T09:33:02.8423870Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8424175Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8424178Z 2025-12-04T09:33:02.8424346Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8424484Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8424552Z unimplemented [] 2025-12-04T09:33:02.8424656Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8424730Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8424792Z graph_break [] 2025-12-04T09:33:02.8424930Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8425398Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8425472Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8425604Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8425669Z unimplemented [] 2025-12-04T09:33:02.8425771Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8425843Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8425906Z graph_break [] 2025-12-04T09:33:02.8426039Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8426500Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8426572Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8426706Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8426768Z unimplemented [] 2025-12-04T09:33:02.8426863Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8426942Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8427004Z graph_break [] 2025-12-04T09:33:02.8427138Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8427590Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8427744Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8427879Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8427943Z unimplemented [] 2025-12-04T09:33:02.8428076Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8428163Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8428226Z graph_break [] 2025-12-04T09:33:02.8428363Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8428816Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8428888Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8429021Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8429084Z unimplemented [] 2025-12-04T09:33:02.8429177Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8429311Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8429375Z graph_break [] 2025-12-04T09:33:02.8429507Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8429960Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8430029Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8430163Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8430226Z unimplemented [] 2025-12-04T09:33:02.8430329Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8430408Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8430469Z graph_break [] 2025-12-04T09:33:02.8430596Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8431055Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8431128Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8431259Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8431322Z unimplemented [] 2025-12-04T09:33:02.8431412Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8431488Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8431549Z graph_break [] 2025-12-04T09:33:02.8431678Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8432136Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8432206Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8432336Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8432404Z unimplemented [] 2025-12-04T09:33:02.8432498Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8432575Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8432636Z graph_break [] 2025-12-04T09:33:02.8432762Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8433220Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8433291Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8433420Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8433483Z unimplemented [] 2025-12-04T09:33:02.8433575Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8433650Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8433711Z graph_break [] 2025-12-04T09:33:02.8433839Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8434411Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8434486Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8434626Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8434692Z unimplemented [] 2025-12-04T09:33:02.8434787Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8434863Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8434926Z graph_break [] 2025-12-04T09:33:02.8435053Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8435510Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8435620Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8435753Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8435816Z unimplemented [] 2025-12-04T09:33:02.8435910Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8435988Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8436049Z graph_break [] 2025-12-04T09:33:02.8436176Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8436633Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8436704Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8436835Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8436900Z unimplemented [] 2025-12-04T09:33:02.8436992Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8437088Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8437150Z graph_break [] 2025-12-04T09:33:02.8437281Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8437748Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8437819Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8437952Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8438016Z unimplemented [] 2025-12-04T09:33:02.8438109Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8438190Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8438254Z graph_break [] 2025-12-04T09:33:02.8438380Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8438839Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8438913Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8439039Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8439113Z unimplemented [] 2025-12-04T09:33:02.8439216Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8439300Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8439362Z graph_break [] 2025-12-04T09:33:02.8439492Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8439956Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8440026Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8440152Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8440305Z unimplemented [] 2025-12-04T09:33:02.8440399Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8440479Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8440541Z graph_break [] 2025-12-04T09:33:02.8440702Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8441162Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8441232Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8441360Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8441430Z unimplemented [] 2025-12-04T09:33:02.8441523Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8441601Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8441666Z graph_break [] 2025-12-04T09:33:02.8441828Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8442292Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8442363Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8442487Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8442558Z unimplemented [] 2025-12-04T09:33:02.8442652Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8442724Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8442794Z graph_break [] 2025-12-04T09:33:02.8442929Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8443390Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8443462Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8443589Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8443659Z unimplemented [] 2025-12-04T09:33:02.8443751Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8443823Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8443892Z graph_break [] 2025-12-04T09:33:02.8444017Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8444477Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8444545Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8444670Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8444740Z unimplemented [] 2025-12-04T09:33:02.8444833Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8444908Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8444979Z graph_break [] 2025-12-04T09:33:02.8445104Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8445568Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8445640Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8445765Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8445835Z unimplemented [] 2025-12-04T09:33:02.8445926Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8446000Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8446073Z graph_break [] 2025-12-04T09:33:02.8446196Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8446667Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8446818Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8446989Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8447060Z unimplemented [] 2025-12-04T09:33:02.8447158Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8447232Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8447300Z graph_break [] 2025-12-04T09:33:02.8447429Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8447893Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8447968Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8448094Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8448203Z unimplemented [] 2025-12-04T09:33:02.8448299Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8448371Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8448440Z graph_break [] 2025-12-04T09:33:02.8448568Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8449023Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8449099Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8449224Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8449294Z unimplemented [] 2025-12-04T09:33:02.8449387Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8449461Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8449529Z graph_break [] 2025-12-04T09:33:02.8449657Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8450110Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8450189Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8450314Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8450396Z unimplemented [] 2025-12-04T09:33:02.8450492Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8450563Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8450632Z graph_break [] 2025-12-04T09:33:02.8450761Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8451214Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8451291Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8451421Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8451490Z unimplemented [] 2025-12-04T09:33:02.8451583Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8451658Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8451727Z graph_break [] 2025-12-04T09:33:02.8451852Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8452304Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8452381Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8452506Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8452577Z unimplemented [] 2025-12-04T09:33:02.8452669Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8452740Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8452979Z graph_break [] 2025-12-04T09:33:02.8453108Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8453614Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8453694Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8453817Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8453889Z unimplemented [] 2025-12-04T09:33:02.8453985Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8454059Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8454129Z graph_break [] 2025-12-04T09:33:02.8454254Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8454745Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8454829Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8454956Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8455022Z unimplemented [] 2025-12-04T09:33:02.8455126Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8455208Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8455275Z graph_break [] 2025-12-04T09:33:02.8455399Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8455852Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8455925Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8456048Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8456114Z unimplemented [] 2025-12-04T09:33:02.8456219Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8456289Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8456355Z graph_break [] 2025-12-04T09:33:02.8456482Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8456939Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8457014Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8457138Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8457201Z unimplemented [] 2025-12-04T09:33:02.8457302Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8457373Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8457438Z graph_break [] 2025-12-04T09:33:02.8457560Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8458016Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8458180Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8458308Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8458370Z unimplemented [] 2025-12-04T09:33:02.8458469Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8458539Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8458600Z graph_break [] 2025-12-04T09:33:02.8458731Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8459195Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8459273Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8459480Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8459544Z unimplemented [] 2025-12-04T09:33:02.8459644Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8459753Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8459818Z graph_break [] 2025-12-04T09:33:02.8459949Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8460403Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8460478Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8460601Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8460663Z unimplemented [] 2025-12-04T09:33:02.8460761Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8460832Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8460934Z graph_break [] 2025-12-04T09:33:02.8461067Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8461524Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8461599Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8461725Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8461787Z unimplemented [] 2025-12-04T09:33:02.8461885Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8461955Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8462019Z graph_break [] 2025-12-04T09:33:02.8462153Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8462606Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8462687Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8462811Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8462878Z unimplemented [] 2025-12-04T09:33:02.8462978Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8463048Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8463110Z graph_break [] 2025-12-04T09:33:02.8463253Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8463714Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8463792Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8463917Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8463981Z unimplemented [] 2025-12-04T09:33:02.8464087Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8464158Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8464221Z graph_break [] 2025-12-04T09:33:02.8464355Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8464810Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8464885Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8465016Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8465081Z unimplemented [] 2025-12-04T09:33:02.8465184Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8465257Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8465319Z graph_break [] 2025-12-04T09:33:02.8465454Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8465984Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8466059Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8466231Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8466296Z unimplemented [] 2025-12-04T09:33:02.8466394Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8466465Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8466527Z graph_break [] 2025-12-04T09:33:02.8466660Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8467113Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8467184Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8467354Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8467422Z unimplemented [] 2025-12-04T09:33:02.8467523Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8467595Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8467662Z graph_break [] 2025-12-04T09:33:02.8467794Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8468246Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8468322Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8468451Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8468514Z unimplemented [] 2025-12-04T09:33:02.8468613Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8468684Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8468749Z graph_break [] 2025-12-04T09:33:02.8468877Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8469330Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8469399Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8469530Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8469594Z unimplemented [] 2025-12-04T09:33:02.8469685Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8469767Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8469828Z graph_break [] 2025-12-04T09:33:02.8469960Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8470418Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8470490Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8470621Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8470684Z unimplemented [] 2025-12-04T09:33:02.8470781Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8470857Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8470917Z graph_break [] 2025-12-04T09:33:02.8471048Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8471501Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8471571Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8471713Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8471779Z unimplemented [] 2025-12-04T09:33:02.8471918Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8472029Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8472091Z graph_break [] 2025-12-04T09:33:02.8472223Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8472713Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8472784Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8472915Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8472979Z unimplemented [] 2025-12-04T09:33:02.8473075Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8473151Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8473212Z graph_break [] 2025-12-04T09:33:02.8473343Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8473834Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8473907Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8474040Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8474105Z unimplemented [] 2025-12-04T09:33:02.8474198Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8474276Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8474338Z graph_break [] 2025-12-04T09:33:02.8474472Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8474936Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8475007Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8475140Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8475207Z unimplemented [] 2025-12-04T09:33:02.8475300Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8475377Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8475441Z graph_break [] 2025-12-04T09:33:02.8475564Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8476024Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8476094Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8476223Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8476289Z unimplemented [] 2025-12-04T09:33:02.8476383Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8476461Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8476526Z graph_break [] 2025-12-04T09:33:02.8476654Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8477116Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8477189Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8477322Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8477386Z unimplemented [] 2025-12-04T09:33:02.8477480Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8477559Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8477632Z graph_break [] 2025-12-04T09:33:02.8477763Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8478227Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8478393Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8478596Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.8478675Z Traceback (most recent call last): 2025-12-04T09:33:02.8478947Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.8479023Z return value(self) 2025-12-04T09:33:02.8479323Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.8479414Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.8479698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.8479802Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.8480160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.8480296Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.8480388Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8480392Z 2025-12-04T09:33:02.8480478Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8480667Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8480864Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8480868Z 2025-12-04T09:33:02.8480999Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8481299Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8481302Z 2025-12-04T09:33:02.8481474Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8481608Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8481680Z unimplemented [] 2025-12-04T09:33:02.8481785Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8481858Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8481928Z graph_break [] 2025-12-04T09:33:02.8482065Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8482535Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8482613Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8482737Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8482800Z unimplemented [] 2025-12-04T09:33:02.8482905Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8482977Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8483042Z graph_break [] 2025-12-04T09:33:02.8483169Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8483632Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8483708Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8483832Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8483896Z unimplemented [] 2025-12-04T09:33:02.8483995Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8484066Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8484132Z graph_break [] 2025-12-04T09:33:02.8484256Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8484713Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8484909Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8485036Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8485099Z unimplemented [] 2025-12-04T09:33:02.8485231Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8485304Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8485366Z graph_break [] 2025-12-04T09:33:02.8485499Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8485955Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8486031Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8486156Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8486220Z unimplemented [] 2025-12-04T09:33:02.8486318Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8486437Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8486501Z graph_break [] 2025-12-04T09:33:02.8486634Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8487092Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8487167Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8487293Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8487356Z unimplemented [] 2025-12-04T09:33:02.8487455Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8487526Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8487588Z graph_break [] 2025-12-04T09:33:02.8487720Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8488173Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8488252Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8488380Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8488445Z unimplemented [] 2025-12-04T09:33:02.8488544Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8488616Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8488678Z graph_break [] 2025-12-04T09:33:02.8488808Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8489261Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8489339Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8489464Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8489531Z unimplemented [] 2025-12-04T09:33:02.8489631Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8489704Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8489765Z graph_break [] 2025-12-04T09:33:02.8489902Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8490359Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8490440Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8490566Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8490630Z unimplemented [] 2025-12-04T09:33:02.8490729Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8490803Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8490864Z graph_break [] 2025-12-04T09:33:02.8490999Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8491548Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8491661Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8491789Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8491855Z unimplemented [] 2025-12-04T09:33:02.8491961Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8492034Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8492097Z graph_break [] 2025-12-04T09:33:02.8492229Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8492685Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8492795Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8492933Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8492997Z unimplemented [] 2025-12-04T09:33:02.8493097Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8493171Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8493233Z graph_break [] 2025-12-04T09:33:02.8493370Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8493833Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8493906Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8494041Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8494105Z unimplemented [] 2025-12-04T09:33:02.8494207Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8494283Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8494347Z graph_break [] 2025-12-04T09:33:02.8494488Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8494948Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8495019Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8495150Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8495215Z unimplemented [] 2025-12-04T09:33:02.8495315Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8495385Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8495444Z graph_break [] 2025-12-04T09:33:02.8495576Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8496032Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8496106Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8496242Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8496308Z unimplemented [] 2025-12-04T09:33:02.8496401Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8496476Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8496536Z graph_break [] 2025-12-04T09:33:02.8496666Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8497119Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8497189Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8497321Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8497477Z unimplemented [] 2025-12-04T09:33:02.8497573Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8497649Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8497715Z graph_break [] 2025-12-04T09:33:02.8497890Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8498437Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8498509Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8498637Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8498700Z unimplemented [] 2025-12-04T09:33:02.8498793Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8498873Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8498934Z graph_break [] 2025-12-04T09:33:02.8499105Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8499565Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8499639Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8499773Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8499836Z unimplemented [] 2025-12-04T09:33:02.8499930Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8500009Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8500079Z graph_break [] 2025-12-04T09:33:02.8500212Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8500673Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8500744Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8500880Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8500946Z unimplemented [] 2025-12-04T09:33:02.8501038Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8501116Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8501181Z graph_break [] 2025-12-04T09:33:02.8501304Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8501765Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8501836Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8501966Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8502031Z unimplemented [] 2025-12-04T09:33:02.8502131Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8502209Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8502275Z graph_break [] 2025-12-04T09:33:02.8502400Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8502866Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8502937Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8503068Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8503131Z unimplemented [] 2025-12-04T09:33:02.8503236Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8503319Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8503382Z graph_break [] 2025-12-04T09:33:02.8503507Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8503971Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8504139Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8504272Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8504370Z unimplemented [] 2025-12-04T09:33:02.8504468Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8504547Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8504608Z graph_break [] 2025-12-04T09:33:02.8504733Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8505199Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8505270Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8505403Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8505470Z unimplemented [] 2025-12-04T09:33:02.8505614Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8505698Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8505760Z graph_break [] 2025-12-04T09:33:02.8505890Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8506352Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8506422Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8506553Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8506617Z unimplemented [] 2025-12-04T09:33:02.8506709Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8506789Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8506851Z graph_break [] 2025-12-04T09:33:02.8506975Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8507439Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8507511Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8507643Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8507707Z unimplemented [] 2025-12-04T09:33:02.8507800Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8507879Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8507940Z graph_break [] 2025-12-04T09:33:02.8508064Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8508524Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8508594Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8508724Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8508794Z unimplemented [] 2025-12-04T09:33:02.8508889Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8508966Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8509026Z graph_break [] 2025-12-04T09:33:02.8509151Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8509608Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8509677Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8509800Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8509868Z unimplemented [] 2025-12-04T09:33:02.8509958Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8510034Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8510174Z graph_break [] 2025-12-04T09:33:02.8510299Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8510792Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8510863Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8510987Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8511054Z unimplemented [] 2025-12-04T09:33:02.8511146Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8511223Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8511284Z graph_break [] 2025-12-04T09:33:02.8511409Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8511914Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8512267Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8512397Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8512471Z unimplemented [] 2025-12-04T09:33:02.8512564Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8512636Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8512705Z graph_break [] 2025-12-04T09:33:02.8512829Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8513287Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8513356Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8513479Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8513550Z unimplemented [] 2025-12-04T09:33:02.8513647Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8513719Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8513787Z graph_break [] 2025-12-04T09:33:02.8513912Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8514370Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8514441Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8514565Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8514636Z unimplemented [] 2025-12-04T09:33:02.8514727Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8514799Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8514868Z graph_break [] 2025-12-04T09:33:02.8514993Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8515457Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8515528Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8515654Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8515725Z unimplemented [] 2025-12-04T09:33:02.8515818Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8515888Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8515958Z graph_break [] 2025-12-04T09:33:02.8516081Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8516554Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8516626Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8516858Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8516987Z unimplemented [] 2025-12-04T09:33:02.8517083Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8517159Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8517281Z graph_break [] 2025-12-04T09:33:02.8517412Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8517893Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8517964Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8518093Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8518164Z unimplemented [] 2025-12-04T09:33:02.8518256Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8518336Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8522712Z graph_break [] 2025-12-04T09:33:02.8522898Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8523398Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8523486Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8523624Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8523699Z unimplemented [] 2025-12-04T09:33:02.8523804Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8523881Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8523953Z graph_break [] 2025-12-04T09:33:02.8524087Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8524564Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8524653Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8524792Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8524868Z unimplemented [] 2025-12-04T09:33:02.8524969Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8525043Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8525114Z graph_break [] 2025-12-04T09:33:02.8525240Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8525699Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8525781Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8525906Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8525978Z unimplemented [] 2025-12-04T09:33:02.8526075Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8526150Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8526220Z graph_break [] 2025-12-04T09:33:02.8526344Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8526802Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8526881Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8527007Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8527071Z unimplemented [] 2025-12-04T09:33:02.8527171Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8527242Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8527321Z graph_break [] 2025-12-04T09:33:02.8527454Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8527988Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8528105Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8528268Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8528338Z unimplemented [] 2025-12-04T09:33:02.8528441Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8528514Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8528582Z graph_break [] 2025-12-04T09:33:02.8528709Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8529166Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8529248Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8529434Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8529503Z unimplemented [] 2025-12-04T09:33:02.8529604Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8529674Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8529747Z graph_break [] 2025-12-04T09:33:02.8529875Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8530327Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8530403Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8530539Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8530605Z unimplemented [] 2025-12-04T09:33:02.8530708Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8530781Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8530844Z graph_break [] 2025-12-04T09:33:02.8530980Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8531436Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8531513Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8531639Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8531703Z unimplemented [] 2025-12-04T09:33:02.8531801Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8531873Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8531934Z graph_break [] 2025-12-04T09:33:02.8532068Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8532532Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8532617Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8532741Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8532804Z unimplemented [] 2025-12-04T09:33:02.8532906Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8532978Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8533041Z graph_break [] 2025-12-04T09:33:02.8533172Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8533632Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8533711Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8533847Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8533911Z unimplemented [] 2025-12-04T09:33:02.8534082Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8534194Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8534255Z graph_break [] 2025-12-04T09:33:02.8534392Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8534885Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8534966Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8535094Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8535158Z unimplemented [] 2025-12-04T09:33:02.8535261Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8535334Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8535396Z graph_break [] 2025-12-04T09:33:02.8535529Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8536020Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8536102Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8536229Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8536294Z unimplemented [] 2025-12-04T09:33:02.8536394Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8536467Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8536531Z graph_break [] 2025-12-04T09:33:02.8536666Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8537120Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8537199Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8537330Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8537398Z unimplemented [] 2025-12-04T09:33:02.8537501Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8537574Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8537639Z graph_break [] 2025-12-04T09:33:02.8537780Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8538340Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8538413Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8538548Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8538614Z unimplemented [] 2025-12-04T09:33:02.8538714Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8538785Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8538847Z graph_break [] 2025-12-04T09:33:02.8538986Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8539445Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8539517Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8539648Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8539712Z unimplemented [] 2025-12-04T09:33:02.8539811Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8539882Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8539943Z graph_break [] 2025-12-04T09:33:02.8540077Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8540540Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8540694Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8540832Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8540896Z unimplemented [] 2025-12-04T09:33:02.8541031Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8541105Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8541166Z graph_break [] 2025-12-04T09:33:02.8541296Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8541766Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8541836Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8542049Z ____ AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda _____ 2025-12-04T09:33:02.8542128Z Traceback (most recent call last): 2025-12-04T09:33:02.8542420Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T09:33:02.8542495Z return value(self) 2025-12-04T09:33:02.8542817Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 7544, in test_copy_non_blocking_is_pinned 2025-12-04T09:33:02.8542913Z self.assertEqual(outputs, outputs_aoti) 2025-12-04T09:33:02.8543204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:33:02.8543311Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:33:02.8543635Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:33:02.8543767Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:33:02.8543864Z AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8543869Z 2025-12-04T09:33:02.8543952Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8544146Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8544339Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8544349Z 2025-12-04T09:33:02.8544483Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8544783Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8544787Z 2025-12-04T09:33:02.8544964Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8545097Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8545165Z unimplemented [] 2025-12-04T09:33:02.8545277Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8545354Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8545421Z graph_break [] 2025-12-04T09:33:02.8545561Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8546040Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8546123Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8546249Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8546313Z unimplemented [] 2025-12-04T09:33:02.8546416Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8546489Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8546559Z graph_break [] 2025-12-04T09:33:02.8546684Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8547144Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8547273Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8547435Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8547500Z unimplemented [] 2025-12-04T09:33:02.8547617Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8547726Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8547791Z graph_break [] 2025-12-04T09:33:02.8547921Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8548376Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8548454Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8548588Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8548652Z unimplemented [] 2025-12-04T09:33:02.8548757Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8548868Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8548934Z graph_break [] 2025-12-04T09:33:02.8549074Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8549537Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8549616Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8549744Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8549808Z unimplemented [] 2025-12-04T09:33:02.8549909Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8549983Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8550043Z graph_break [] 2025-12-04T09:33:02.8550172Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8550632Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8550711Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8550837Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8550901Z unimplemented [] 2025-12-04T09:33:02.8551007Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8551085Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8551147Z graph_break [] 2025-12-04T09:33:02.8551280Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8551729Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8551805Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8551929Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8551999Z unimplemented [] 2025-12-04T09:33:02.8552101Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8552173Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8552233Z graph_break [] 2025-12-04T09:33:02.8552366Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8552818Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8552894Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8553016Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8553079Z unimplemented [] 2025-12-04T09:33:02.8553179Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8553249Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8553319Z graph_break [] 2025-12-04T09:33:02.8553454Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8553989Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8554116Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8554242Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8554308Z unimplemented [] 2025-12-04T09:33:02.8554406Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8554488Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8554550Z graph_break [] 2025-12-04T09:33:02.8554683Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8555137Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8555209Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8555381Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8555447Z unimplemented [] 2025-12-04T09:33:02.8555545Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8555618Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8555680Z graph_break [] 2025-12-04T09:33:02.8555810Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8556261Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8556335Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8556469Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8556536Z unimplemented [] 2025-12-04T09:33:02.8556638Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8556710Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8556777Z graph_break [] 2025-12-04T09:33:02.8556909Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8557360Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8557431Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8557562Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8557639Z unimplemented [] 2025-12-04T09:33:02.8557737Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8557811Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8557872Z graph_break [] 2025-12-04T09:33:02.8558005Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8558459Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8558532Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8558665Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8558729Z unimplemented [] 2025-12-04T09:33:02.8558833Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8558905Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8558968Z graph_break [] 2025-12-04T09:33:02.8559101Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8559552Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8559622Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8559755Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8559946Z unimplemented [] 2025-12-04T09:33:02.8560086Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8560168Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8560232Z graph_break [] 2025-12-04T09:33:02.8560400Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8560856Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8560927Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8561061Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8561126Z unimplemented [] 2025-12-04T09:33:02.8561222Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8561299Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8561369Z graph_break [] 2025-12-04T09:33:02.8561505Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8561997Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8562071Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8562200Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8562262Z unimplemented [] 2025-12-04T09:33:02.8562354Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8562432Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8562493Z graph_break [] 2025-12-04T09:33:02.8562623Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8563074Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8563143Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8563278Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8563342Z unimplemented [] 2025-12-04T09:33:02.8563435Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8563512Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8563573Z graph_break [] 2025-12-04T09:33:02.8563696Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8564152Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8564223Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8564353Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8564415Z unimplemented [] 2025-12-04T09:33:02.8564506Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8564582Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8564647Z graph_break [] 2025-12-04T09:33:02.8564769Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8565227Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8565310Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8565443Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8565507Z unimplemented [] 2025-12-04T09:33:02.8565599Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8565675Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8565737Z graph_break [] 2025-12-04T09:33:02.8565861Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8566319Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8566466Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8566594Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8566694Z unimplemented [] 2025-12-04T09:33:02.8566788Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8566865Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8566926Z graph_break [] 2025-12-04T09:33:02.8567049Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8567508Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8567578Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8567707Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8567769Z unimplemented [] 2025-12-04T09:33:02.8567899Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8567978Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8568040Z graph_break [] 2025-12-04T09:33:02.8568166Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8568623Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8568693Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8568824Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8568887Z unimplemented [] 2025-12-04T09:33:02.8568979Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8569058Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8569121Z graph_break [] 2025-12-04T09:33:02.8569248Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8569710Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8569780Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8569923Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8569989Z unimplemented [] 2025-12-04T09:33:02.8570082Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8570160Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8570223Z graph_break [] 2025-12-04T09:33:02.8570348Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8570806Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8570875Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8571006Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8571077Z unimplemented [] 2025-12-04T09:33:02.8571170Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8571252Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8571319Z graph_break [] 2025-12-04T09:33:02.8571447Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8571911Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8571988Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8572120Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8572193Z unimplemented [] 2025-12-04T09:33:02.8572290Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8572371Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8572490Z graph_break [] 2025-12-04T09:33:02.8572653Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8573148Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8573224Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8573352Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8573429Z unimplemented [] 2025-12-04T09:33:02.8573530Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8573611Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8573673Z graph_break [] 2025-12-04T09:33:02.8573800Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8574295Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8574371Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8574498Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8574571Z unimplemented [] 2025-12-04T09:33:02.8574665Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8574746Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8574809Z graph_break [] 2025-12-04T09:33:02.8574932Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8575398Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8575471Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8575596Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8575663Z unimplemented [] 2025-12-04T09:33:02.8575760Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8575834Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8575901Z graph_break [] 2025-12-04T09:33:02.8576025Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8576488Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8576560Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8576696Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8576760Z unimplemented [] 2025-12-04T09:33:02.8576851Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8576930Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8576992Z graph_break [] 2025-12-04T09:33:02.8577121Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8577587Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8577659Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8577792Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8577858Z unimplemented [] 2025-12-04T09:33:02.8577950Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8578027Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8578207Z graph_break [] 2025-12-04T09:33:02.8578333Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8578791Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8578862Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8579054Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8579172Z unimplemented [] 2025-12-04T09:33:02.8579264Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8579340Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8579463Z graph_break [] 2025-12-04T09:33:02.8579592Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8580052Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8580124Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8580247Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8580316Z unimplemented [] 2025-12-04T09:33:02.8580409Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8580484Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8580547Z graph_break [] 2025-12-04T09:33:02.8580709Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8581172Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8581243Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8581369Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8581437Z unimplemented [] 2025-12-04T09:33:02.8581529Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8581606Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8581666Z graph_break [] 2025-12-04T09:33:02.8581793Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8582264Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8582337Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8582462Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8582546Z unimplemented [] 2025-12-04T09:33:02.8582642Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8582718Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8582779Z graph_break [] 2025-12-04T09:33:02.8582902Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8583362Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8583432Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8583556Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8583630Z unimplemented [] 2025-12-04T09:33:02.8583725Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8583800Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8583870Z graph_break [] 2025-12-04T09:33:02.8583995Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8584454Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8584524Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8584649Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8584719Z unimplemented [] 2025-12-04T09:33:02.8584811Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8584882Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8584949Z graph_break [] 2025-12-04T09:33:02.8585074Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8585593Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8585702Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8585861Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8585932Z unimplemented [] 2025-12-04T09:33:02.8586023Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8586095Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8586163Z graph_break [] 2025-12-04T09:33:02.8586288Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8586746Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8586815Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8586984Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8587062Z unimplemented [] 2025-12-04T09:33:02.8587154Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8587226Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8587297Z graph_break [] 2025-12-04T09:33:02.8587424Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8587887Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8587956Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8588080Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8588151Z unimplemented [] 2025-12-04T09:33:02.8588246Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8588317Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8588388Z graph_break [] 2025-12-04T09:33:02.8588517Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8588978Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8589051Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8589174Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8589246Z unimplemented [] 2025-12-04T09:33:02.8589337Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8589406Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8589477Z graph_break [] 2025-12-04T09:33:02.8589604Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8590055Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8590136Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8590262Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8590334Z unimplemented [] 2025-12-04T09:33:02.8590433Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8590507Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8590585Z graph_break [] 2025-12-04T09:33:02.8590715Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8591168Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8591242Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8591366Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8591438Z unimplemented [] 2025-12-04T09:33:02.8591530Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8591677Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8591750Z graph_break [] 2025-12-04T09:33:02.8591875Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8592361Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8592438Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8592562Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8592631Z unimplemented [] 2025-12-04T09:33:02.8592723Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8592792Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8592857Z graph_break [] 2025-12-04T09:33:02.8592981Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8593468Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8593550Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8593675Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8593744Z unimplemented [] 2025-12-04T09:33:02.8593835Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8593905Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8593970Z graph_break [] 2025-12-04T09:33:02.8594094Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8594554Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8594629Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8594756Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8594831Z unimplemented [] 2025-12-04T09:33:02.8594925Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8594995Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8595061Z graph_break [] 2025-12-04T09:33:02.8595188Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8595640Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8595717Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8595843Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8595911Z unimplemented [] 2025-12-04T09:33:02.8596011Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8596081Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8596159Z graph_break [] 2025-12-04T09:33:02.8596296Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8596754Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8596829Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8596952Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8597016Z unimplemented [] 2025-12-04T09:33:02.8597115Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8597189Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8597256Z graph_break [] 2025-12-04T09:33:02.8597380Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8597831Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8597988Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8598113Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8598177Z unimplemented [] 2025-12-04T09:33:02.8598310Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8598383Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8598444Z graph_break [] 2025-12-04T09:33:02.8598575Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8599026Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8599102Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8599226Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8599289Z unimplemented [] 2025-12-04T09:33:02.8599388Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8599507Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8599575Z graph_break [] 2025-12-04T09:33:02.8599708Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8600167Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8600245Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8600371Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:33:02.8600436Z unimplemented [] 2025-12-04T09:33:02.8600538Z stats [('calls_captured', 7), ('unique_graphs', 1)] 2025-12-04T09:33:02.8600611Z inductor [('extern_calls', 2)] 2025-12-04T09:33:02.8600674Z graph_break [] 2025-12-04T09:33:02.8600808Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:33:02.8601261Z /opt/conda/envs/py_3.10/lib/python3.10/copyreg.py:101: FutureWarning: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. 2025-12-04T09:33:02.8601343Z return cls.__new__(cls, *args) 2025-12-04T09:33:02.8601790Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-11a42619c5bf211c.xml - 2025-12-04T09:33:02.8601897Z =========================== short test summary info ============================ 2025-12-04T09:33:02.8602372Z FAILED [4.2647s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8602376Z 2025-12-04T09:33:02.8602457Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8602652Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8602843Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8602851Z 2025-12-04T09:33:02.8602988Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8603304Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8603310Z 2025-12-04T09:33:02.8603477Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8603908Z FAILED [4.2232s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8603912Z 2025-12-04T09:33:02.8603990Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8604173Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8604369Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8604373Z 2025-12-04T09:33:02.8604506Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8604905Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8604908Z 2025-12-04T09:33:02.8605103Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8605520Z FAILED [4.2064s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8605530Z 2025-12-04T09:33:02.8605603Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8605782Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8605970Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8605973Z 2025-12-04T09:33:02.8606098Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8606424Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8606437Z 2025-12-04T09:33:02.8606594Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8607010Z FAILED [4.1292s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8607014Z 2025-12-04T09:33:02.8607104Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8607283Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8607467Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8607476Z 2025-12-04T09:33:02.8607600Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8607884Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8607891Z 2025-12-04T09:33:02.8608055Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8608466Z FAILED [4.1164s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8608469Z 2025-12-04T09:33:02.8608546Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8608731Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8608917Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8608921Z 2025-12-04T09:33:02.8609052Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8609338Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8609343Z 2025-12-04T09:33:02.8609502Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8609917Z FAILED [4.1209s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8609920Z 2025-12-04T09:33:02.8609994Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8610181Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8610364Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8610367Z 2025-12-04T09:33:02.8610497Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8610785Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8610788Z 2025-12-04T09:33:02.8610940Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8611358Z FAILED [4.1212s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8611435Z 2025-12-04T09:33:02.8611508Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8611725Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8611913Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8611916Z 2025-12-04T09:33:02.8612275Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8612571Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8612575Z 2025-12-04T09:33:02.8612729Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8613148Z FAILED [4.1377s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8613249Z 2025-12-04T09:33:02.8613331Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8613514Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8613710Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8613713Z 2025-12-04T09:33:02.8613844Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8614145Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8614148Z 2025-12-04T09:33:02.8614306Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8614722Z FAILED [4.1285s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8614726Z 2025-12-04T09:33:02.8614804Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8614986Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8615179Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8615182Z 2025-12-04T09:33:02.8615311Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8615604Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8615608Z 2025-12-04T09:33:02.8615771Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8616188Z FAILED [4.1984s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8616192Z 2025-12-04T09:33:02.8616271Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8616462Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8616654Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8616658Z 2025-12-04T09:33:02.8616793Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8617084Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8617087Z 2025-12-04T09:33:02.8617248Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8617663Z FAILED [4.2288s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8617666Z 2025-12-04T09:33:02.8617738Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8617926Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8618218Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8618345Z 2025-12-04T09:33:02.8618497Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8618867Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8618871Z 2025-12-04T09:33:02.8619029Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8619449Z FAILED [4.1955s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8619452Z 2025-12-04T09:33:02.8619526Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8619707Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8619891Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8619894Z 2025-12-04T09:33:02.8620055Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8620362Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8620365Z 2025-12-04T09:33:02.8620525Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8620944Z FAILED [4.1725s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8620947Z 2025-12-04T09:33:02.8621021Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8621198Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8621390Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8621394Z 2025-12-04T09:33:02.8621520Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8621816Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8621824Z 2025-12-04T09:33:02.8621981Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8622400Z FAILED [4.0774s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8622403Z 2025-12-04T09:33:02.8622479Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8622665Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8622856Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8622859Z 2025-12-04T09:33:02.8622987Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8623282Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8623288Z 2025-12-04T09:33:02.8623444Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8623855Z FAILED [4.2022s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8623858Z 2025-12-04T09:33:02.8623940Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8624119Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8624317Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8624321Z 2025-12-04T09:33:02.8624444Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8624733Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8624737Z 2025-12-04T09:33:02.8624903Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8625392Z FAILED [4.1240s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8625395Z 2025-12-04T09:33:02.8625506Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8625687Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8625870Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8625874Z 2025-12-04T09:33:02.8626003Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8626290Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8626293Z 2025-12-04T09:33:02.8626452Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8626917Z FAILED [4.1248s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8626925Z 2025-12-04T09:33:02.8626998Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8627189Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8627381Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8627384Z 2025-12-04T09:33:02.8627515Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8627802Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8627806Z 2025-12-04T09:33:02.8627959Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8628377Z FAILED [4.1616s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8628385Z 2025-12-04T09:33:02.8628458Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8628642Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8628826Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8628829Z 2025-12-04T09:33:02.8628954Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8629246Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8629249Z 2025-12-04T09:33:02.8629402Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8629818Z FAILED [4.0979s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8629821Z 2025-12-04T09:33:02.8629893Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8630079Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8630269Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8630273Z 2025-12-04T09:33:02.8630398Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8630689Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8630692Z 2025-12-04T09:33:02.8630848Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8631259Z FAILED [4.0635s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8631267Z 2025-12-04T09:33:02.8631340Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8631518Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8631782Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8631785Z 2025-12-04T09:33:02.8631909Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8632240Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8632249Z 2025-12-04T09:33:02.8632406Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8632816Z FAILED [4.0503s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8632819Z 2025-12-04T09:33:02.8632898Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8633076Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8633296Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8633311Z 2025-12-04T09:33:02.8633438Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8633728Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8633733Z 2025-12-04T09:33:02.8633893Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8634299Z FAILED [4.0537s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8634302Z 2025-12-04T09:33:02.8634379Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8634556Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8634740Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8634743Z 2025-12-04T09:33:02.8634877Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8635163Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8635167Z 2025-12-04T09:33:02.8635328Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8635738Z FAILED [4.2543s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8635741Z 2025-12-04T09:33:02.8635813Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8635995Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8636180Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8636183Z 2025-12-04T09:33:02.8636312Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8636601Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8636606Z 2025-12-04T09:33:02.8636759Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8637180Z FAILED [4.0728s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8637183Z 2025-12-04T09:33:02.8637255Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8637438Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8637622Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8637625Z 2025-12-04T09:33:02.8637749Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8638046Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8638123Z 2025-12-04T09:33:02.8638279Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8638731Z FAILED [4.0892s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8638734Z 2025-12-04T09:33:02.8638809Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8638987Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8639176Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8639180Z 2025-12-04T09:33:02.8639303Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8639596Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8639600Z 2025-12-04T09:33:02.8639792Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8640211Z FAILED [4.0516s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8640214Z 2025-12-04T09:33:02.8640300Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8640485Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8640677Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8640680Z 2025-12-04T09:33:02.8640807Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8641096Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8641100Z 2025-12-04T09:33:02.8641265Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8641675Z FAILED [4.0412s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8641681Z 2025-12-04T09:33:02.8641762Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8641940Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8642125Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8642129Z 2025-12-04T09:33:02.8642259Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8642553Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8642556Z 2025-12-04T09:33:02.8642715Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8643126Z FAILED [4.0453s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8643133Z 2025-12-04T09:33:02.8643211Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8643388Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8643574Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8643577Z 2025-12-04T09:33:02.8643708Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8643999Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8644002Z 2025-12-04T09:33:02.8644163Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8644572Z FAILED [4.0038s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8644576Z 2025-12-04T09:33:02.8644691Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8644912Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8645095Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8645133Z 2025-12-04T09:33:02.8645269Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8645556Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8645560Z 2025-12-04T09:33:02.8645715Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8646132Z FAILED [4.0187s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8646135Z 2025-12-04T09:33:02.8646209Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8646428Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8646620Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8646623Z 2025-12-04T09:33:02.8646749Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8647045Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8647048Z 2025-12-04T09:33:02.8647203Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8647618Z FAILED [4.0362s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8647621Z 2025-12-04T09:33:02.8647692Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8647870Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8648062Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8648069Z 2025-12-04T09:33:02.8648196Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8648490Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8648494Z 2025-12-04T09:33:02.8648646Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8649055Z FAILED [4.1027s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8649064Z 2025-12-04T09:33:02.8649136Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8649313Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8649503Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8649508Z 2025-12-04T09:33:02.8649636Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8649922Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8649926Z 2025-12-04T09:33:02.8650085Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8650495Z FAILED [4.0723s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8650499Z 2025-12-04T09:33:02.8650575Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8650750Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8650932Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8650941Z 2025-12-04T09:33:02.8651064Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8651427Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8651431Z 2025-12-04T09:33:02.8651589Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8652052Z FAILED [4.1046s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8652055Z 2025-12-04T09:33:02.8652134Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8652311Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8652494Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8652498Z 2025-12-04T09:33:02.8652628Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8652956Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8652964Z 2025-12-04T09:33:02.8653125Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8653536Z FAILED [4.0343s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8653539Z 2025-12-04T09:33:02.8653610Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8653792Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8653976Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8653979Z 2025-12-04T09:33:02.8654108Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8654395Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8654398Z 2025-12-04T09:33:02.8654554Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8654970Z FAILED [4.0376s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8654975Z 2025-12-04T09:33:02.8655048Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8655229Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8655412Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8655415Z 2025-12-04T09:33:02.8655538Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8655828Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8655831Z 2025-12-04T09:33:02.8655982Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8656406Z FAILED [4.0512s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8656411Z 2025-12-04T09:33:02.8656481Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8656661Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8656850Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8656853Z 2025-12-04T09:33:02.8656976Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8657272Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8657276Z 2025-12-04T09:33:02.8657433Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8657857Z FAILED [4.0383s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8657934Z 2025-12-04T09:33:02.8658015Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8658312Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8658508Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8658511Z 2025-12-04T09:33:02.8658635Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8658921Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8658925Z 2025-12-04T09:33:02.8659085Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8659495Z FAILED [4.0507s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8659500Z 2025-12-04T09:33:02.8659696Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8659877Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8660069Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8660072Z 2025-12-04T09:33:02.8660218Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8660509Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8660512Z 2025-12-04T09:33:02.8660672Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8661088Z FAILED [4.0647s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8661091Z 2025-12-04T09:33:02.8661164Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8661351Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8661538Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8661541Z 2025-12-04T09:33:02.8661675Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8661963Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8661967Z 2025-12-04T09:33:02.8662121Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8662541Z FAILED [4.0170s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8662545Z 2025-12-04T09:33:02.8662617Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8662802Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8662998Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8663005Z 2025-12-04T09:33:02.8663135Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8663434Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8663437Z 2025-12-04T09:33:02.8663590Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8664005Z FAILED [4.0514s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_copy_non_blocking_is_pinned_cuda - AssertionError: Tensor-likes are not close! 2025-12-04T09:33:02.8664009Z 2025-12-04T09:33:02.8664081Z Mismatched elements: 8 / 8 (100.0%) 2025-12-04T09:33:02.8664259Z Greatest absolute difference: 2.249572992324829 at index (0, 0) (up to 1e-05 allowed) 2025-12-04T09:33:02.8664450Z Greatest relative difference: 3.5533642768859863 at index (0, 0) (up to 1.3e-06 allowed) 2025-12-04T09:33:02.8664528Z 2025-12-04T09:33:02.8664658Z To execute this test, run the following from the base repo dir: 2025-12-04T09:33:02.8664955Z python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test_copy_non_blocking_is_pinned_cuda 2025-12-04T09:33:02.8664991Z 2025-12-04T09:33:02.8665148Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:33:02.8665273Z ================== 42 failed, 108 passed in 650.46s (0:10:50) ================== 2025-12-04T09:33:02.8665283Z 2025-12-04T09:33:02.8665616Z FINISHED PRINTING LOG FILE of inductor/test_aot_inductor 2/4 (test/test-reports/inductor.test_aot_inductor_2.4_fc7e0e5318c160be_.log) 2025-12-04T09:33:02.8665620Z 2025-12-04T09:33:02.8665831Z Finished inductor/test_aot_inductor 2/4 ... [2025-12-04 09:33:02.666848][2429.085642212], took 11.02min 2025-12-04T09:33:03.6815048Z Uploading logs for 57116084932 to S3 2025-12-04T09:33:03.7350681Z Uploading artifacts took 1.00 seconds 2025-12-04T09:33:03.7351389Z inductor/test_aot_inductor 2/4 failed! 2025-12-04T09:33:05.6898006Z Running dynamo/test_logging 1/1 ... [2025-12-04 09:33:05.689354][2432.108151606] 2025-12-04T09:33:05.6898599Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:05.6900595Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_logging.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:05.689765] 2025-12-04T09:33:06.3225463Z Running inductor/test_inductor_freezing 1/1 ... [2025-12-04 09:33:06.322163][2432.740960151] 2025-12-04T09:33:06.3226002Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:06.3228674Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inductor_freezing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:06.322590] 2025-12-04T09:33:07.6397192Z 2025-12-04T09:33:07.6398335Z inductor/test_mkldnn_pattern_matcher 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_2.2_0f2bda1d024855ad_.log 2025-12-04T09:33:07.6399202Z Running 0 items in this shard: 2025-12-04T09:33:07.6399378Z 2025-12-04T09:33:07.6399700Z Finished inductor/test_mkldnn_pattern_matcher 2/2 ... [2025-12-04 09:33:07.639582][2434.058378877], took 0.11min 2025-12-04T09:33:07.6509177Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-3a474464f330e3a8.xml 2025-12-04T09:33:11.2537720Z Running dynamo/test_unspec 1/1 ... [2025-12-04 09:33:11.253262][2437.672057202] 2025-12-04T09:33:11.2538444Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:11.2542184Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_unspec.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:11.253901] 2025-12-04T09:33:11.8437508Z 2025-12-04T09:33:11.8438355Z dynamo/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_logging_1.1_5bf083b76c4f369a_.log 2025-12-04T09:33:11.8439087Z Running 0 items in this shard: 2025-12-04T09:33:11.8439260Z 2025-12-04T09:33:11.8439521Z Finished dynamo/test_logging 1/1 ... [2025-12-04 09:33:11.843650][2438.262447974], took 0.10min 2025-12-04T09:33:11.8554096Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_logging/dynamo.test_logging-2bf9fad7024c63b6.xml 2025-12-04T09:33:13.7594484Z 2025-12-04T09:33:13.7595895Z inductor/test_inductor_freezing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_freezing_1.1_9387245c6fb7ed3b_.log 2025-12-04T09:33:13.7622796Z Running 100 items in this shard: test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_conv_with_as_strided_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu, test/inductor/test_inductor_freezing.py::FreezingCpuTests::test_cpp_wrapper_cpu 2025-12-04T09:33:13.7646280Z 2025-12-04T09:33:13.7646533Z Finished inductor/test_inductor_freezing 1/1 ... [2025-12-04 09:33:13.759526][2440.178322934], took 0.12min 2025-12-04T09:33:13.7711216Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inductor_freezing/inductor.test_inductor_freezing-dfb6e79a1ce246ff.xml 2025-12-04T09:33:15.2129285Z 2025-12-04T09:33:15.2130395Z dynamo/test_unspec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unspec_1.1_0dc0729ad33d1353_.log 2025-12-04T09:33:15.2131173Z Running 0 items in this shard: 2025-12-04T09:33:15.2131344Z 2025-12-04T09:33:15.2131603Z Finished dynamo/test_unspec 1/1 ... [2025-12-04 09:33:15.212789][2441.631588729], took 0.07min 2025-12-04T09:33:15.2246428Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_unspec/dynamo.test_unspec-27792fb3a8abbfca.xml 2025-12-04T09:33:15.5221383Z Running dynamo/test_higher_order_ops 1/1 ... [2025-12-04 09:33:15.521661][2441.940458856] 2025-12-04T09:33:15.5221877Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:15.5223954Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_higher_order_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:15.522076] 2025-12-04T09:33:17.3824294Z Running inductor/test_mmdecomp 1/1 ... [2025-12-04 09:33:17.381984][2443.800781293] 2025-12-04T09:33:17.3824807Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:17.3827718Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mmdecomp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:17.382428] 2025-12-04T09:33:18.7991427Z Running dynamo/test_ctx_manager 1/1 ... [2025-12-04 09:33:18.798683][2445.217480774] 2025-12-04T09:33:18.7992172Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:18.7994943Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_ctx_manager.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:18.799112] 2025-12-04T09:33:22.7226893Z 2025-12-04T09:33:22.7227855Z dynamo/test_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_higher_order_ops_1.1_0e205b609b23de2c_.log 2025-12-04T09:33:22.7228482Z Running 0 items in this shard: 2025-12-04T09:33:22.7228641Z 2025-12-04T09:33:22.7228868Z Finished dynamo/test_higher_order_ops 1/1 ... [2025-12-04 09:33:22.722551][2449.141347247], took 0.12min 2025-12-04T09:33:22.7344804Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_higher_order_ops/dynamo.test_higher_order_ops-1a0b2f90c2120ced.xml 2025-12-04T09:33:23.7645839Z 2025-12-04T09:33:23.7647280Z inductor/test_mmdecomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mmdecomp_1.1_d74791f066d85fa2_.log 2025-12-04T09:33:23.7648337Z Running 0 items in this shard: 2025-12-04T09:33:23.7648634Z 2025-12-04T09:33:23.7648909Z Finished inductor/test_mmdecomp 1/1 ... [2025-12-04 09:33:23.764503][2450.183298421], took 0.11min 2025-12-04T09:33:23.7819365Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mmdecomp/inductor.test_mmdecomp-cd491c6514fc55c6.xml 2025-12-04T09:33:25.5644089Z 2025-12-04T09:33:25.5645306Z dynamo/test_ctx_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_ctx_manager_1.1_baad924677ffb2b2_.log 2025-12-04T09:33:25.5646268Z Running 0 items in this shard: 2025-12-04T09:33:25.5646519Z 2025-12-04T09:33:25.5646883Z Finished dynamo/test_ctx_manager 1/1 ... [2025-12-04 09:33:25.564243][2451.983043032], took 0.11min 2025-12-04T09:33:25.5766854Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_ctx_manager/dynamo.test_ctx_manager-b505f1b7372b1dab.xml 2025-12-04T09:33:26.4809398Z Running dynamo/test_exc 1/1 ... [2025-12-04 09:33:26.480362][2452.899159814] 2025-12-04T09:33:26.4810058Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:26.4811493Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_exc.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:26.480796] 2025-12-04T09:33:27.3959768Z Running inductor/test_aot_inductor_arrayref 1/2 ... [2025-12-04 09:33:27.395498][2453.814294261] 2025-12-04T09:33:27.3960336Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:27.3962209Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor_arrayref.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 09:33:27.395904] 2025-12-04T09:33:29.1159448Z Running inductor/test_halide 1/1 ... [2025-12-04 09:33:29.115433][2455.534227963] 2025-12-04T09:33:29.1160045Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:29.1161905Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_halide.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:29.115886] 2025-12-04T09:33:29.9828043Z 2025-12-04T09:33:29.9829038Z dynamo/test_exc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exc_1.1_5e860ea2ecad9244_.log 2025-12-04T09:33:29.9829597Z Running 0 items in this shard: 2025-12-04T09:33:29.9829741Z 2025-12-04T09:33:29.9829928Z Finished dynamo/test_exc 1/1 ... [2025-12-04 09:33:29.982665][2456.401461657], took 0.06min 2025-12-04T09:33:29.9956477Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_exc/dynamo.test_exc-56a49f6705e3fae7.xml 2025-12-04T09:33:33.5670828Z Running inductor/test_deterministic 2/3 ... [2025-12-04 09:33:33.566618][2459.985415285] 2025-12-04T09:33:33.5671485Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:33.5673380Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_deterministic.py', '-m', 'not serial', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:33.567022] 2025-12-04T09:33:35.5528367Z 2025-12-04T09:33:35.5529137Z inductor/test_halide 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_halide_1.1_0004314a3f9282ae_.log 2025-12-04T09:33:35.5529646Z 2025-12-04T09:33:35.5529879Z Finished inductor/test_halide 1/1 ... [2025-12-04 09:33:35.552700][2461.971500045], took 0.11min 2025-12-04T09:33:39.2179001Z Running dynamo/test_inline_and_install 1/1 ... [2025-12-04 09:33:39.217390][2465.636186525] 2025-12-04T09:33:39.2179838Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:39.2181893Z 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 09:33:39.217861] 2025-12-04T09:33:39.8137955Z 2025-12-04T09:33:39.8139242Z inductor/test_deterministic 2/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_deterministic_2.3_585dec8fcde2c5bc_.log 2025-12-04T09:33:39.8140047Z Running 0 items in this shard: 2025-12-04T09:33:39.8140224Z 2025-12-04T09:33:39.8140772Z Finished inductor/test_deterministic 2/3 ... [2025-12-04 09:33:39.813719][2466.232512836], took 0.10min 2025-12-04T09:33:39.8319401Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_deterministic/inductor.test_deterministic-449ac7d404b385fa.xml 2025-12-04T09:33:43.3268889Z 2025-12-04T09:33:43.3269971Z 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_0b484ebac6202d09_.log 2025-12-04T09:33:43.3270970Z Running 0 items in this shard: 2025-12-04T09:33:43.3271162Z 2025-12-04T09:33:43.3271608Z Finished dynamo/test_inline_and_install 1/1 ... [2025-12-04 09:33:43.326790][2469.745585486], took 0.07min 2025-12-04T09:33:43.3401269Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_inline_and_install/dynamo.test_inline_and_install-c1e50c9cfaec5505.xml 2025-12-04T09:33:43.4449736Z Running export/test_functionalized_assertions 1/1 ... [2025-12-04 09:33:43.444551][2469.863346528] 2025-12-04T09:33:43.4450311Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:43.4453277Z 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 09:33:43.444990] 2025-12-04T09:33:46.8081979Z 2025-12-04T09:33:46.8083335Z 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_262ceb94b76c0613_.log 2025-12-04T09:33:46.8084211Z Running 0 items in this shard: 2025-12-04T09:33:46.8084387Z 2025-12-04T09:33:46.8084704Z Finished export/test_functionalized_assertions 1/1 ... [2025-12-04 09:33:46.808094][2473.226891748], took 0.06min 2025-12-04T09:33:46.8218911Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_functionalized_assertions/export.test_functionalized_assertions-960b5d4b8338ddf6.xml 2025-12-04T09:33:47.0461467Z Running inductor/test_loop_ordering 1/1 ... [2025-12-04 09:33:47.045665][2473.464461066] 2025-12-04T09:33:47.0461976Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:47.0464943Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_loop_ordering.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:33:47.046151] 2025-12-04T09:33:50.4289746Z Running inductor/test_selective_lowering 1/1 ... [2025-12-04 09:33:50.428480][2476.847277666] 2025-12-04T09:33:50.4290205Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:50.4291636Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_selective_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 09:33:50.428881] 2025-12-04T09:33:53.3047598Z 2025-12-04T09:33:53.3048888Z inductor/test_loop_ordering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_loop_ordering_1.1_6a83a87b0f60907a_.log 2025-12-04T09:33:53.3063287Z Running 50 items in this shard: test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template, test/inductor/test_loop_ordering.py::LoopOrderingTest::test_interaction_with_triton_template 2025-12-04T09:33:53.3076672Z 2025-12-04T09:33:53.3076901Z Finished inductor/test_loop_ordering 1/1 ... [2025-12-04 09:33:53.304715][2479.723509367], took 0.10min 2025-12-04T09:33:53.3188091Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_loop_ordering/inductor.test_loop_ordering-8c2497c3015137da.xml 2025-12-04T09:33:56.5280664Z 2025-12-04T09:33:56.5281706Z inductor/test_selective_lowering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_selective_lowering_1.1_f689186f0481a9a8_.log 2025-12-04T09:33:56.5282530Z Running 0 items in this shard: 2025-12-04T09:33:56.5282715Z 2025-12-04T09:33:56.5283020Z Finished inductor/test_selective_lowering 1/1 ... [2025-12-04 09:33:56.527946][2482.946745654], took 0.10min 2025-12-04T09:33:56.5497434Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_selective_lowering/inductor.test_selective_lowering-6b23b5c2493cdfdf.xml 2025-12-04T09:33:56.9738919Z Running dynamo/test_base_output 1/1 ... [2025-12-04 09:33:56.973168][2483.391964172] 2025-12-04T09:33:56.9739836Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:33:56.9741034Z 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 09:33:56.973612] 2025-12-04T09:34:00.1045476Z Running inductor/test_lookup_table 1/1 ... [2025-12-04 09:34:00.104041][2486.522839634] 2025-12-04T09:34:00.1046105Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:00.1048006Z 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 09:34:00.104457] 2025-12-04T09:34:00.5557905Z 2025-12-04T09:34:00.5558875Z 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_2fee0c01e036b510_.log 2025-12-04T09:34:00.5560076Z Running 0 items in this shard: 2025-12-04T09:34:00.5560269Z 2025-12-04T09:34:00.5560534Z Finished dynamo/test_base_output 1/1 ... [2025-12-04 09:34:00.555733][2486.974532129], took 0.06min 2025-12-04T09:34:00.5719034Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_base_output/dynamo.test_base_output-ed5282cd5fe4165b.xml 2025-12-04T09:34:04.1329890Z Running export/test_serialize 1/1 ... [2025-12-04 09:34:04.132505][2490.551301291] 2025-12-04T09:34:04.1330548Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:04.1334672Z 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 09:34:04.133125] 2025-12-04T09:34:06.1465393Z 2025-12-04T09:34:06.1466280Z 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_d6694d9112fc2610_.log 2025-12-04T09:34:06.1466965Z 2025-12-04T09:34:06.1467251Z Finished inductor/test_lookup_table 1/1 ... [2025-12-04 09:34:06.146441][2492.565238712], took 0.10min 2025-12-04T09:34:09.7986755Z Running inductor/test_cutedsl_template 1/1 ... [2025-12-04 09:34:09.798187][2496.216982932] 2025-12-04T09:34:09.7987330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:09.7989501Z 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 09:34:09.798625] 2025-12-04T09:34:10.4722151Z 2025-12-04T09:34:10.4722995Z export/test_serialize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serialize_1.1_fcf1e70a1f204451_.log 2025-12-04T09:34:10.4723716Z Running 0 items in this shard: 2025-12-04T09:34:10.4723884Z 2025-12-04T09:34:10.4724152Z Finished export/test_serialize 1/1 ... [2025-12-04 09:34:10.472151][2496.890949937], took 0.11min 2025-12-04T09:34:10.4862714Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_serialize/export.test_serialize-d46f2d0a0cd435e7.xml 2025-12-04T09:34:14.0497085Z Running inductor/test_inductor_scheduler 1/1 ... [2025-12-04 09:34:14.049185][2500.46798272] 2025-12-04T09:34:14.0497790Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:14.0500039Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inductor_scheduler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:14.049626] 2025-12-04T09:34:15.9288599Z 2025-12-04T09:34:15.9289642Z 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_c4e2e9a7c33feb79_.log 2025-12-04T09:34:15.9290454Z Running 0 items in this shard: 2025-12-04T09:34:15.9290625Z 2025-12-04T09:34:15.9290910Z Finished inductor/test_cutedsl_template 1/1 ... [2025-12-04 09:34:15.928735][2502.3475349], took 0.10min 2025-12-04T09:34:15.9432191Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cutedsl_template/inductor.test_cutedsl_template-a98d1746018bbd56.xml 2025-12-04T09:34:19.5534648Z Running inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 09:34:19.552992][2505.971788698] 2025-12-04T09:34:19.5535316Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:19.5537392Z 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 09:34:19.553397] 2025-12-04T09:34:20.2441669Z 2025-12-04T09:34:20.2442935Z inductor/test_inductor_scheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_scheduler_1.1_7c9cffc8e6d626c0_.log 2025-12-04T09:34:20.2444031Z Running 0 items in this shard: 2025-12-04T09:34:20.2444185Z 2025-12-04T09:34:20.2444772Z Finished inductor/test_inductor_scheduler 1/1 ... [2025-12-04 09:34:20.244056][2506.662854992], took 0.10min 2025-12-04T09:34:20.2595587Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inductor_scheduler/inductor.test_inductor_scheduler-1675bfe6f8d6564d.xml 2025-12-04T09:34:23.7977820Z Running export/test_export_strict 1/1 ... [2025-12-04 09:34:23.797287][2510.216083679] 2025-12-04T09:34:23.7978694Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:23.7980838Z 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 09:34:23.797714] 2025-12-04T09:34:25.6363120Z 2025-12-04T09:34:25.6364519Z 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_e02135104ea1a2e6_.log 2025-12-04T09:34:25.6365241Z Running 0 items in this shard: 2025-12-04T09:34:25.6365392Z 2025-12-04T09:34:25.6365669Z Finished inductor/test_move_constructors_to_gpu 1/1 ... [2025-12-04 09:34:25.636196][2512.054995066], took 0.10min 2025-12-04T09:34:25.6514896Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_move_constructors_to_gpu/inductor.test_move_constructors_to_gpu-f4a9ef8eb6db61e6.xml 2025-12-04T09:34:29.2672698Z Running dynamo/test_modules 1/1 ... [2025-12-04 09:34:29.266794][2515.685590356] 2025-12-04T09:34:29.2673277Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:29.2675199Z 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 09:34:29.267220] 2025-12-04T09:34:30.6593421Z 2025-12-04T09:34:30.6594360Z 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_67cf33d13f32e29e_.log 2025-12-04T09:34:30.6595175Z Running 0 items in this shard: 2025-12-04T09:34:30.6595364Z 2025-12-04T09:34:30.6595643Z Finished export/test_export_strict 1/1 ... [2025-12-04 09:34:30.659152][2517.077951169], took 0.11min 2025-12-04T09:34:30.6747561Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_export_strict/export.test_export_strict-eb15e16704088c9f.xml 2025-12-04T09:34:34.2571016Z Running export/test_serdes 1/1 ... [2025-12-04 09:34:34.256584][2520.675381821] 2025-12-04T09:34:34.2571763Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:34.2573629Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_serdes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:34.257027] 2025-12-04T09:34:35.6573756Z 2025-12-04T09:34:35.6574637Z dynamo/test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modules_1.1_50d62cdfccdc204f_.log 2025-12-04T09:34:35.6575367Z Running 0 items in this shard: 2025-12-04T09:34:35.6575553Z 2025-12-04T09:34:35.6575803Z Finished dynamo/test_modules 1/1 ... [2025-12-04 09:34:35.657252][2522.076050879], took 0.11min 2025-12-04T09:34:35.6783506Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_modules/dynamo.test_modules-dc35e53ac768e9c2.xml 2025-12-04T09:34:39.2771418Z Running dynamo/test_regional_inductor 1/1 ... [2025-12-04 09:34:39.276673][2525.69547015] 2025-12-04T09:34:39.2772103Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:39.2774418Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_regional_inductor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:39.277099] 2025-12-04T09:34:41.8227170Z 2025-12-04T09:34:41.8228365Z export/test_serdes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serdes_1.1_73732ab5a896ea04_.log 2025-12-04T09:34:41.8229358Z Running 0 items in this shard: 2025-12-04T09:34:41.8229601Z 2025-12-04T09:34:41.8229962Z Finished export/test_serdes 1/1 ... [2025-12-04 09:34:41.822561][2528.241357313], took 0.13min 2025-12-04T09:34:41.8386611Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_serdes/export.test_serdes-e0a3fcbd1247c57f.xml 2025-12-04T09:34:45.4541538Z Running inductor/test_remote_cache 1/1 ... [2025-12-04 09:34:45.453686][2531.872483524] 2025-12-04T09:34:45.4542054Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:45.4544322Z 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 09:34:45.454142] 2025-12-04T09:34:45.4737134Z 2025-12-04T09:34:45.4738253Z dynamo/test_regional_inductor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_regional_inductor_1.1_254ee1a8b2a3dadc_.log 2025-12-04T09:34:45.4739493Z Running 0 items in this shard: 2025-12-04T09:34:45.4739792Z 2025-12-04T09:34:45.4740282Z Finished dynamo/test_regional_inductor 1/1 ... [2025-12-04 09:34:45.473743][2531.892537954], took 0.10min 2025-12-04T09:34:45.4982658Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-5284b24e7590ed86.xml 2025-12-04T09:34:48.7930889Z 2025-12-04T09:34:48.7932167Z 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_7f64c35229c828ab_.log 2025-12-04T09:34:48.7933448Z Running 0 items in this shard: 2025-12-04T09:34:48.7933647Z 2025-12-04T09:34:48.7933948Z Finished inductor/test_remote_cache 1/1 ... [2025-12-04 09:34:48.793006][2535.211800674], took 0.06min 2025-12-04T09:34:48.8088003Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_remote_cache/inductor.test_remote_cache-57dee2f774bfdbc1.xml 2025-12-04T09:34:49.0719829Z Running inductor/test_coordinate_descent_tuner 1/1 ... [2025-12-04 09:34:49.071553][2535.490349747] 2025-12-04T09:34:49.0728022Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:49.0729614Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_coordinate_descent_tuner.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:34:49.071965] 2025-12-04T09:34:52.3395585Z Running inductor/test_inplace_padding 1/1 ... [2025-12-04 09:34:52.339080][2538.757876448] 2025-12-04T09:34:52.3396118Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:52.3398175Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inplace_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 09:34:52.339517] 2025-12-04T09:34:55.1996170Z 2025-12-04T09:34:55.1997518Z inductor/test_coordinate_descent_tuner 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_coordinate_descent_tuner_1.1_6414116467daba74_.log 2025-12-04T09:34:55.1998827Z Running 0 items in this shard: 2025-12-04T09:34:55.1999011Z 2025-12-04T09:34:55.1999437Z Finished inductor/test_coordinate_descent_tuner 1/1 ... [2025-12-04 09:34:55.199498][2541.618294738], took 0.10min 2025-12-04T09:34:55.2160554Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_coordinate_descent_tuner/inductor.test_coordinate_descent_tuner-42509d5a46d82f0c.xml 2025-12-04T09:34:58.7923687Z Running inductor/test_cudacodecache 1/1 ... [2025-12-04 09:34:58.791861][2545.210658382] 2025-12-04T09:34:58.7924530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:34:58.7927632Z 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 09:34:58.792356] 2025-12-04T09:35:06.4215069Z 2025-12-04T09:35:06.4215961Z PRINTING LOG FILE of inductor/test_cudacodecache 1/1 (test/test-reports/inductor.test_cudacodecache_1.1_2fa93f31a9261ef9_.log) 2025-12-04T09:35:06.4217359Z Test results will be stored in test-reports/python-pytest/inductor.test_cudacodecache/inductor.test_cudacodecache-00839f6e32d2a072.xml 2025-12-04T09:35:06.4218427Z ============================= test session starts ============================== 2025-12-04T09:35:06.4219091Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T09:35:06.4219463Z cachedir: .pytest_cache 2025-12-04T09:35:06.4220075Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T09:35:06.4220834Z rootdir: /var/lib/jenkins/workspace 2025-12-04T09:35:06.4221225Z configfile: pytest.ini 2025-12-04T09:35:06.4221877Z 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 2025-12-04T09:35:06.4222634Z collecting ... collected 3 items 2025-12-04T09:35:06.4222968Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T09:35:06.4234934Z Running 50 items in this shard: test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load, test/inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load 2025-12-04T09:35:06.4246715Z 2025-12-04T09:35:06.4246980Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load PASSED [0.8955s] [ 2%] 2025-12-04T09:35:06.4247906Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.002000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp57uit5qh 2025-12-04T09:35:06.4248573Z FAILED [0.0268s] [ 2%] 2025-12-04T09:35:06.4249278Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.031000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpyhjq56to 2025-12-04T09:35:06.4249987Z FAILED [0.0049s] [ 2%] 2025-12-04T09:35:06.4250671Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.037000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpvy4wqn8q 2025-12-04T09:35:06.4251374Z FAILED [0.0045s] [ 2%] 2025-12-04T09:35:06.4251977Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.042000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpf7_okq0v 2025-12-04T09:35:06.4252651Z FAILED [0.0041s] [ 2%] 2025-12-04T09:35:06.4253328Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.048000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp34zvucqe 2025-12-04T09:35:06.4254028Z FAILED [0.0040s] [ 2%] 2025-12-04T09:35:06.4254706Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.053000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpt2zla5hx 2025-12-04T09:35:06.4255348Z FAILED [0.0041s] [ 2%] 2025-12-04T09:35:06.4255972Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.058000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp7iqbyxol 2025-12-04T09:35:06.4256675Z FAILED [0.0040s] [ 2%] 2025-12-04T09:35:06.4257403Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.064000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpvk9e4iwx 2025-12-04T09:35:06.4258332Z FAILED [0.0040s] [ 2%] 2025-12-04T09:35:06.4259088Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.069000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp_m69fe5o 2025-12-04T09:35:06.4259812Z FAILED [0.0040s] [ 2%] 2025-12-04T09:35:06.4260458Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.074000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpybkslwoy 2025-12-04T09:35:06.4261093Z FAILED [0.0039s] [ 2%] 2025-12-04T09:35:06.4261778Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.082000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp4dv1xdwu 2025-12-04T09:35:06.4262606Z FAILED [0.0040s] [ 2%] 2025-12-04T09:35:06.4263258Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.087000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpkhy3ywra 2025-12-04T09:35:06.4263982Z FAILED [0.0042s] [ 2%] 2025-12-04T09:35:06.4264681Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.092000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpbmewmvcb 2025-12-04T09:35:06.4265417Z FAILED [0.0040s] [ 2%] 2025-12-04T09:35:06.4266003Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.098000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpih69fciz 2025-12-04T09:35:06.4266732Z FAILED [0.0040s] [ 2%] 2025-12-04T09:35:06.4267436Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.103000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpur6u6p61 2025-12-04T09:35:06.4268102Z FAILED [0.0040s] [ 2%] 2025-12-04T09:35:06.4268737Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.108000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp2mg1cakn 2025-12-04T09:35:06.4269350Z FAILED [0.0041s] [ 2%] 2025-12-04T09:35:06.4270039Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.113000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmplu042wlw 2025-12-04T09:35:06.4270653Z FAILED [0.0042s] [ 2%] 2025-12-04T09:35:06.4271331Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.119000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpxn5pzqxj 2025-12-04T09:35:06.4271952Z FAILED [0.0040s] [ 2%] 2025-12-04T09:35:06.4272529Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.124000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmph2tr2y7h 2025-12-04T09:35:06.4273128Z FAILED [0.0040s] [ 2%] 2025-12-04T09:35:06.4273816Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.129000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp1rcq873a 2025-12-04T09:35:06.4274542Z FAILED [0.0040s] [ 2%] 2025-12-04T09:35:06.4275175Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.134000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpugwnf9ve 2025-12-04T09:35:06.4275894Z FAILED [0.0041s] [ 2%] 2025-12-04T09:35:06.4276453Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.142000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpj0fk6zua 2025-12-04T09:35:06.4277064Z FAILED [0.0043s] [ 2%] 2025-12-04T09:35:06.4277739Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.147000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp3lgyo8dx 2025-12-04T09:35:06.4278702Z FAILED [0.0042s] [ 2%] 2025-12-04T09:35:06.4279347Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.153000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmphgokdyq1 2025-12-04T09:35:06.4279971Z FAILED [0.0042s] [ 2%] 2025-12-04T09:35:06.4280544Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.159000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpvpbctx5a 2025-12-04T09:35:06.4281145Z FAILED [0.0041s] [ 2%] 2025-12-04T09:35:06.4281704Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.164000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpqbqf_cla 2025-12-04T09:35:06.4282430Z FAILED [0.0040s] [ 2%] 2025-12-04T09:35:06.4283189Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.169000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpllzbd3pa 2025-12-04T09:35:06.4283815Z FAILED [0.0042s] [ 2%] 2025-12-04T09:35:06.4284392Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.175000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpu1v0ykba 2025-12-04T09:35:06.4284994Z FAILED [0.0040s] [ 2%] 2025-12-04T09:35:06.4285555Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.180000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp2uiy1kvs 2025-12-04T09:35:06.4286145Z FAILED [0.0041s] [ 2%] 2025-12-04T09:35:06.4286705Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.185000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp8ntwc1iq 2025-12-04T09:35:06.4287317Z FAILED [0.0040s] [ 2%] 2025-12-04T09:35:06.4287882Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.190000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp8y6ry49x 2025-12-04T09:35:06.4288481Z FAILED [0.0041s] [ 2%] 2025-12-04T09:35:06.4289046Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.196000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp7_470ujw 2025-12-04T09:35:06.4289741Z FAILED [0.0042s] [ 2%] 2025-12-04T09:35:06.4290335Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.203000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp0r1c1soc 2025-12-04T09:35:06.4290929Z FAILED [0.0040s] [ 2%] 2025-12-04T09:35:06.4291630Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.208000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpzxz126oc 2025-12-04T09:35:06.4292292Z FAILED [0.0044s] [ 2%] 2025-12-04T09:35:06.4292875Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.214000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpnfhdhsky 2025-12-04T09:35:06.4293474Z FAILED [0.0040s] [ 2%] 2025-12-04T09:35:06.4294110Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.219000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpmjzbko_t 2025-12-04T09:35:06.4294854Z FAILED [0.0040s] [ 2%] 2025-12-04T09:35:06.4295431Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.225000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpu3gvk41j 2025-12-04T09:35:06.4296024Z FAILED [0.0041s] [ 2%] 2025-12-04T09:35:06.4296731Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.230000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp3xu8t3t1 2025-12-04T09:35:06.4297467Z FAILED [0.0039s] [ 2%] 2025-12-04T09:35:06.4298266Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.235000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpubj9d2z1 2025-12-04T09:35:06.4299090Z FAILED [0.0039s] [ 2%] 2025-12-04T09:35:06.4299769Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.240000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpll1nra7w 2025-12-04T09:35:06.4300481Z FAILED [0.0040s] [ 2%] 2025-12-04T09:35:06.4301156Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.245000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp4g2bmf6x 2025-12-04T09:35:06.4301819Z FAILED [0.0039s] [ 2%] 2025-12-04T09:35:06.4302396Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.251000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmprvs_12on 2025-12-04T09:35:06.4303008Z FAILED [0.0042s] [ 2%] 2025-12-04T09:35:06.4303715Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.256000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp9kgx6b3z 2025-12-04T09:35:06.4304425Z FAILED [0.0039s] [ 2%] 2025-12-04T09:35:06.4304999Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.263000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpmehugvja 2025-12-04T09:35:06.4305613Z FAILED [0.0040s] [ 2%] 2025-12-04T09:35:06.4306184Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.268000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp93xqoqke 2025-12-04T09:35:06.4306783Z FAILED [0.0040s] [ 2%] 2025-12-04T09:35:06.4307348Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.274000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpe61wd6qv 2025-12-04T09:35:06.4307986Z FAILED [0.0040s] [ 2%] 2025-12-04T09:35:06.4308636Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.279000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmp725vbdvs 2025-12-04T09:35:06.4309234Z FAILED [0.0057s] [ 2%] 2025-12-04T09:35:06.4309796Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.290000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpcnw6aron 2025-12-04T09:35:06.4310519Z FAILED [0.0046s] [ 2%] 2025-12-04T09:35:06.4311194Z inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load W1204 09:35:05.295000 35880 site-packages/torch/_inductor/utils.py:1361] on error, temporary cache dir kept at /tmp/tmpfos8ylz2 2025-12-04T09:35:06.4311903Z FAILED [0.0043s] [ 2%] 2025-12-04T09:35:06.4312238Z 2025-12-04T09:35:06.4312346Z =================================== FAILURES =================================== 2025-12-04T09:35:06.4312672Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4313104Z Traceback (most recent call last): 2025-12-04T09:35:06.4313510Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4314047Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4314496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4315027Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4315646Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4316562Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4316876Z Traceback (most recent call last): 2025-12-04T09:35:06.4317452Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4317889Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4318442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4318882Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4319465Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4320162Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4320556Z Traceback (most recent call last): 2025-12-04T09:35:06.4321129Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4321642Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4322186Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4322641Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4323188Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4323823Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4324127Z Traceback (most recent call last): 2025-12-04T09:35:06.4324509Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4325044Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4325589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4326042Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4326618Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4327329Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4327708Z Traceback (most recent call last): 2025-12-04T09:35:06.4328084Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4328677Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4329349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4330058Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4330662Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4331259Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4331571Z Traceback (most recent call last): 2025-12-04T09:35:06.4331957Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4332388Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4332824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4333242Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4333737Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4334316Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4334621Z Traceback (most recent call last): 2025-12-04T09:35:06.4334998Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4335699Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4336194Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4336628Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4337116Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4337694Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4337994Z Traceback (most recent call last): 2025-12-04T09:35:06.4338464Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4338866Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4339290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4339752Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4340237Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4340806Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4341104Z Traceback (most recent call last): 2025-12-04T09:35:06.4341491Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4341894Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4342318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4342731Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4343211Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4343782Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4344093Z Traceback (most recent call last): 2025-12-04T09:35:06.4344471Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4344868Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4345291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4345704Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4346183Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4346754Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4347053Z Traceback (most recent call last): 2025-12-04T09:35:06.4347428Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4347830Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4348259Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4348683Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4349176Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4349736Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4350087Z Traceback (most recent call last): 2025-12-04T09:35:06.4350552Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4350954Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4351381Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4351809Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4352402Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4353159Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4353474Z Traceback (most recent call last): 2025-12-04T09:35:06.4353856Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4354382Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4354811Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4355274Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4355836Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4356398Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4356763Z Traceback (most recent call last): 2025-12-04T09:35:06.4357149Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4357561Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4357987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4358402Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4358886Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4359576Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4359880Z Traceback (most recent call last): 2025-12-04T09:35:06.4360275Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4360680Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4361106Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4361531Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4362020Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4362702Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4363003Z Traceback (most recent call last): 2025-12-04T09:35:06.4363381Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4363865Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4364326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4364742Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4365255Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4365922Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4366227Z Traceback (most recent call last): 2025-12-04T09:35:06.4366607Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4367134Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4367558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4367974Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4368473Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4369154Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4369544Z Traceback (most recent call last): 2025-12-04T09:35:06.4370202Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4370731Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4371239Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4371676Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4372179Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4372765Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4373073Z Traceback (most recent call last): 2025-12-04T09:35:06.4373461Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4373882Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4374354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4374783Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4375284Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4375857Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4376162Z Traceback (most recent call last): 2025-12-04T09:35:06.4376558Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4376982Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4377413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4377843Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4378403Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4378988Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4379291Z Traceback (most recent call last): 2025-12-04T09:35:06.4379669Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4380082Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4380502Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4380930Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4381425Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4381989Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4382283Z Traceback (most recent call last): 2025-12-04T09:35:06.4382663Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4383073Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4383500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4383909Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4384397Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4384963Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4385261Z Traceback (most recent call last): 2025-12-04T09:35:06.4385641Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4386050Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4386481Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4386985Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4387472Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4388078Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4388378Z Traceback (most recent call last): 2025-12-04T09:35:06.4388762Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4389166Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4389596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4390007Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4390494Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4391115Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4391415Z Traceback (most recent call last): 2025-12-04T09:35:06.4391944Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4392359Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4392791Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4393200Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4393688Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4394370Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4394679Z Traceback (most recent call last): 2025-12-04T09:35:06.4395052Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4395463Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4395893Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4396312Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4396800Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4397373Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4397671Z Traceback (most recent call last): 2025-12-04T09:35:06.4398039Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4398447Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4398995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4399447Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4400020Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4400704Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4401112Z Traceback (most recent call last): 2025-12-04T09:35:06.4401489Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4401906Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4402437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4402858Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4403454Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4404033Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4404429Z Traceback (most recent call last): 2025-12-04T09:35:06.4404921Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4405384Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4405931Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4406446Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4406989Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4407606Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4408007Z Traceback (most recent call last): 2025-12-04T09:35:06.4408381Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4408948Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4409414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4409929Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4410525Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4411197Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4411498Z Traceback (most recent call last): 2025-12-04T09:35:06.4412182Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4412638Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4413087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4413526Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4414139Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4414830Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4415183Z Traceback (most recent call last): 2025-12-04T09:35:06.4415621Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4416140Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4416605Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4417109Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4417706Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4418412Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4418784Z Traceback (most recent call last): 2025-12-04T09:35:06.4419274Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4419687Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4420224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4420665Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4421268Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4421887Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4422254Z Traceback (most recent call last): 2025-12-04T09:35:06.4422633Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4423144Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4423782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4424302Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4424966Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4425694Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4426023Z Traceback (most recent call last): 2025-12-04T09:35:06.4426691Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4427243Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4427999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4428531Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4429291Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4430004Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4430314Z Traceback (most recent call last): 2025-12-04T09:35:06.4430816Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4431229Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4431664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4432082Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4432575Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4433268Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4433574Z Traceback (most recent call last): 2025-12-04T09:35:06.4434073Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4434595Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4435088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4435557Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4436149Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4436855Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4437230Z Traceback (most recent call last): 2025-12-04T09:35:06.4437708Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4438171Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4438668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4439182Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4439781Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4440452Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4440753Z Traceback (most recent call last): 2025-12-04T09:35:06.4441140Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4441662Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4442115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4442613Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4443220Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4444049Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4444421Z Traceback (most recent call last): 2025-12-04T09:35:06.4444969Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4445458Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4445933Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4446464Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4447069Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4447738Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4448130Z Traceback (most recent call last): 2025-12-04T09:35:06.4448659Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4449119Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4449659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4450156Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4450741Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4451451Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4451752Z Traceback (most recent call last): 2025-12-04T09:35:06.4452227Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4452739Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4453171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4453593Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4454197Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4454871Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4455166Z Traceback (most recent call last): 2025-12-04T09:35:06.4455645Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4456056Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4456591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4457112Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4457709Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4458364Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4458779Z Traceback (most recent call last): 2025-12-04T09:35:06.4459264Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4459680Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4460206Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4460844Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4461439Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4462132Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4462596Z Traceback (most recent call last): 2025-12-04T09:35:06.4463100Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4463750Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4464181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4464741Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4465296Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4465983Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4466382Z Traceback (most recent call last): 2025-12-04T09:35:06.4466899Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4467486Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4468036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4468641Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4469333Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4469931Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4470238Z Traceback (most recent call last): 2025-12-04T09:35:06.4470753Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4471179Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4471726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4472153Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4472760Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4473451Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4473776Z Traceback (most recent call last): 2025-12-04T09:35:06.4474275Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4474723Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4475246Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4475751Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4476253Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4476821Z _______________________ TestCUDACodeCache.test_cuda_load _______________________ 2025-12-04T09:35:06.4477122Z Traceback (most recent call last): 2025-12-04T09:35:06.4477495Z File "/var/lib/jenkins/workspace/test/inductor/test_cudacodecache.py", line 48, in test_cuda_load 2025-12-04T09:35:06.4478025Z ) = CUDACodeCache.compile(_SOURCE_CODE, "o") 2025-12-04T09:35:06.4478464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 4185, in compile 2025-12-04T09:35:06.4478887Z with open(input_path, "a") as f: 2025-12-04T09:35:06.4479382Z FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4480347Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cudacodecache/inductor.test_cudacodecache-00839f6e32d2a072.xml - 2025-12-04T09:35:06.4481046Z =========================== short test summary info ============================ 2025-12-04T09:35:06.4482034Z FAILED [0.0268s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4483420Z FAILED [0.0049s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4485050Z FAILED [0.0045s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4486530Z FAILED [0.0041s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4488202Z FAILED [0.0040s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4489767Z FAILED [0.0041s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4491255Z FAILED [0.0040s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4492720Z FAILED [0.0040s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4494173Z FAILED [0.0040s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4495517Z FAILED [0.0039s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4496751Z FAILED [0.0040s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4498334Z FAILED [0.0042s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4499731Z FAILED [0.0040s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4501128Z FAILED [0.0040s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4502590Z FAILED [0.0040s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4504065Z FAILED [0.0041s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4505511Z FAILED [0.0042s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4506982Z FAILED [0.0040s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4508588Z FAILED [0.0040s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4509966Z FAILED [0.0040s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4511429Z FAILED [0.0041s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4513187Z FAILED [0.0043s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4514597Z FAILED [0.0042s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4515959Z FAILED [0.0042s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4517456Z FAILED [0.0041s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4518908Z FAILED [0.0040s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4520167Z FAILED [0.0042s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4521521Z FAILED [0.0040s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4522869Z FAILED [0.0041s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4524217Z FAILED [0.0040s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4525564Z FAILED [0.0041s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4526924Z FAILED [0.0042s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4528318Z FAILED [0.0040s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4529623Z FAILED [0.0044s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4531078Z FAILED [0.0040s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4532749Z FAILED [0.0040s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4534237Z FAILED [0.0041s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4535687Z FAILED [0.0039s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4537080Z FAILED [0.0039s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4538665Z FAILED [0.0040s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4540301Z FAILED [0.0039s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4541743Z FAILED [0.0042s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4543174Z FAILED [0.0039s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4544632Z FAILED [0.0040s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4545981Z FAILED [0.0040s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4547429Z FAILED [0.0040s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4548767Z FAILED [0.0057s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4550147Z FAILED [0.0046s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4551640Z FAILED [0.0043s] inductor/test_cudacodecache.py::TestCUDACodeCache::test_cuda_load - FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpzae5mlw7/27/c27ua3sxezqyxdsa5lqk2vp5qiazdftvqxgmwf4rakhsi7jbwyjk.cu' 2025-12-04T09:35:06.4552421Z ========================= 49 failed, 1 passed in 1.22s ========================= 2025-12-04T09:35:06.4552615Z 2025-12-04T09:35:06.4552961Z FINISHED PRINTING LOG FILE of inductor/test_cudacodecache 1/1 (test/test-reports/inductor.test_cudacodecache_1.1_2fa93f31a9261ef9_.log) 2025-12-04T09:35:06.4553481Z 2025-12-04T09:35:06.4553706Z Finished inductor/test_cudacodecache 1/1 ... [2025-12-04 09:35:06.421963][2552.840757021], took 0.13min 2025-12-04T09:35:06.4554764Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cudacodecache/inductor.test_cudacodecache-00839f6e32d2a072.xml 2025-12-04T09:35:07.2491174Z Uploading logs for 57116084932 to S3 2025-12-04T09:35:07.3021524Z Uploading artifacts took 0.76 seconds 2025-12-04T09:35:07.3021951Z inductor/test_cudacodecache 1/1 failed! 2025-12-04T09:35:10.0972184Z Running inductor/test_minifier_utils 1/1 ... [2025-12-04 09:35:10.096805][2556.515601843] 2025-12-04T09:35:10.0972755Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:35:10.0974979Z 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 09:35:10.097199] 2025-12-04T09:35:13.7645778Z 2025-12-04T09:35:13.7647299Z PRINTING LOG FILE of inductor/test_inplace_padding 1/1 (test/test-reports/inductor.test_inplace_padding_1.1_1acd5f5cfde1e786_.log) 2025-12-04T09:35:13.7648608Z W1204 09:34:57.640000 35501 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T09:35:13.7649878Z Test results will be stored in test-reports/python-pytest/inductor.test_inplace_padding/inductor.test_inplace_padding-43d847b6b44d2c34.xml 2025-12-04T09:35:13.7650885Z ============================= test session starts ============================== 2025-12-04T09:35:13.7651642Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T09:35:13.7652310Z cachedir: .pytest_cache 2025-12-04T09:35:13.7653064Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T09:35:13.7653861Z rootdir: /var/lib/jenkins/workspace 2025-12-04T09:35:13.7654223Z configfile: pytest.ini 2025-12-04T09:35:13.7654952Z 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 2025-12-04T09:35:13.7655857Z collecting ... collected 9 items / 50 deselected / -41 selected 2025-12-04T09:35:13.7656387Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T09:35:13.7673938Z Running 50 items in this shard: test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune, test/inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7687040Z 2025-12-04T09:35:13.7687343Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.5415s] [ 2%] 2025-12-04T09:35:13.7687984Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2800s] [ 2%] 2025-12-04T09:35:13.7688602Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2722s] [ 2%] 2025-12-04T09:35:13.7689195Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2705s] [ 2%] 2025-12-04T09:35:13.7689795Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.4119s] [ 2%] 2025-12-04T09:35:13.7690396Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.3536s] [ 2%] 2025-12-04T09:35:13.7690986Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2710s] [ 2%] 2025-12-04T09:35:13.7691590Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2691s] [ 2%] 2025-12-04T09:35:13.7692282Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.3672s] [ 2%] 2025-12-04T09:35:13.7692909Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2692s] [ 2%] 2025-12-04T09:35:13.7693496Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2693s] [ 2%] 2025-12-04T09:35:13.7694078Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.3675s] [ 2%] 2025-12-04T09:35:13.7694663Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2709s] [ 2%] 2025-12-04T09:35:13.7695246Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2871s] [ 2%] 2025-12-04T09:35:13.7695842Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2735s] [ 2%] 2025-12-04T09:35:13.7696483Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2729s] [ 2%] 2025-12-04T09:35:13.7697081Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.3275s] [ 2%] 2025-12-04T09:35:13.7697667Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2662s] [ 2%] 2025-12-04T09:35:13.7698397Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2638s] [ 2%] 2025-12-04T09:35:13.7698985Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2905s] [ 2%] 2025-12-04T09:35:13.7699569Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2668s] [ 2%] 2025-12-04T09:35:13.7700153Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2656s] [ 2%] 2025-12-04T09:35:13.7700741Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2915s] [ 2%] 2025-12-04T09:35:13.7701328Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2891s] [ 2%] 2025-12-04T09:35:13.7701917Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2898s] [ 2%] 2025-12-04T09:35:13.7702509Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2720s] [ 2%] 2025-12-04T09:35:13.7703105Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2672s] [ 2%] 2025-12-04T09:35:13.7703691Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2859s] [ 2%] 2025-12-04T09:35:13.7704281Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2823s] [ 2%] 2025-12-04T09:35:13.7704868Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2711s] [ 2%] 2025-12-04T09:35:13.7705456Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.3286s] [ 2%] 2025-12-04T09:35:13.7706051Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2714s] [ 2%] 2025-12-04T09:35:13.7706637Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.3067s] [ 2%] 2025-12-04T09:35:13.7707226Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.3904s] [ 2%] 2025-12-04T09:35:13.7707810Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2717s] [ 2%] 2025-12-04T09:35:13.7708397Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2871s] [ 2%] 2025-12-04T09:35:13.7708984Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2747s] [ 2%] 2025-12-04T09:35:13.7709673Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2703s] [ 2%] 2025-12-04T09:35:13.7710297Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2916s] [ 2%] 2025-12-04T09:35:13.7710895Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2699s] [ 2%] 2025-12-04T09:35:13.7711488Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2737s] [ 2%] 2025-12-04T09:35:13.7712417Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.3031s] [ 2%] 2025-12-04T09:35:13.7713018Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.3221s] [ 2%] 2025-12-04T09:35:13.7713608Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2663s] [ 2%] 2025-12-04T09:35:13.7714318Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2948s] [ 2%] 2025-12-04T09:35:13.7714929Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2662s] [ 2%] 2025-12-04T09:35:13.7715524Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2829s] [ 2%] 2025-12-04T09:35:13.7716118Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2697s] [ 2%] 2025-12-04T09:35:13.7716705Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2666s] [ 2%] 2025-12-04T09:35:13.7717304Z inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune FAILED [0.2851s] [ 2%] 2025-12-04T09:35:13.7717638Z 2025-12-04T09:35:13.7717737Z =================================== FAILURES =================================== 2025-12-04T09:35:13.7718087Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.7718428Z Traceback (most recent call last): 2025-12-04T09:35:13.7718888Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7719350Z self.test_linear_and_cel() 2025-12-04T09:35:13.7719655Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.7719964Z return func(*args, **kwds) 2025-12-04T09:35:13.7720349Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.7720825Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.7721253Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 233, in f 2025-12-04T09:35:13.7721611Z loss.backward() 2025-12-04T09:35:13.7721952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 629, in backward 2025-12-04T09:35:13.7722338Z torch.autograd.backward( 2025-12-04T09:35:13.7722737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 364, in backward 2025-12-04T09:35:13.7723137Z _engine_run_backward( 2025-12-04T09:35:13.7723543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T09:35:13.7724145Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T09:35:13.7726391Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.67 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.60 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 6.29 GiB is allocated by PyTorch, and 64.65 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.7728422Z 2025-12-04T09:35:13.7728557Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.7729009Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7729331Z 2025-12-04T09:35:13.7729492Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.7729908Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.7730234Z Traceback (most recent call last): 2025-12-04T09:35:13.7730686Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7731178Z self.test_linear_and_cel() 2025-12-04T09:35:13.7731490Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.7731803Z return func(*args, **kwds) 2025-12-04T09:35:13.7732190Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.7732671Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.7733101Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.7733457Z loss = ce(linear(x), y) 2025-12-04T09:35:13.7733878Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.7734341Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.7734766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.7735195Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.7735595Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.7736032Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.7738149Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.67 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.60 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.34 GiB is allocated by PyTorch, and 3.01 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.7740057Z 2025-12-04T09:35:13.7740191Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.7740639Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7740963Z 2025-12-04T09:35:13.7741126Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.7741536Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.7741856Z Traceback (most recent call last): 2025-12-04T09:35:13.7742304Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7742746Z self.test_linear_and_cel() 2025-12-04T09:35:13.7743044Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.7743357Z return func(*args, **kwds) 2025-12-04T09:35:13.7743743Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.7744313Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.7744775Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.7745137Z loss = ce(linear(x), y) 2025-12-04T09:35:13.7745556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.7746027Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.7746453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.7746881Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.7747280Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py", line 1363, in forward 2025-12-04T09:35:13.7747678Z return F.cross_entropy( 2025-12-04T09:35:13.7748100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 3504, in cross_entropy 2025-12-04T09:35:13.7748539Z return torch._C._nn.cross_entropy_loss( 2025-12-04T09:35:13.7750542Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.67 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.60 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.34 GiB is allocated by PyTorch, and 3.01 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.7752431Z 2025-12-04T09:35:13.7752564Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.7753012Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7753326Z 2025-12-04T09:35:13.7753495Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.7753900Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.7754219Z Traceback (most recent call last): 2025-12-04T09:35:13.7754663Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7755112Z self.test_linear_and_cel() 2025-12-04T09:35:13.7755398Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.7755708Z return func(*args, **kwds) 2025-12-04T09:35:13.7756095Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.7756569Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.7756997Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.7757352Z loss = ce(linear(x), y) 2025-12-04T09:35:13.7757775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.7758227Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.7758645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.7759082Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.7759476Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.7759912Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.7761964Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.67 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.60 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.90 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.7763913Z 2025-12-04T09:35:13.7764043Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.7764489Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7764841Z 2025-12-04T09:35:13.7765045Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.7773840Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.7774275Z Traceback (most recent call last): 2025-12-04T09:35:13.7774765Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7775240Z self.test_linear_and_cel() 2025-12-04T09:35:13.7775562Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.7775884Z return func(*args, **kwds) 2025-12-04T09:35:13.7776286Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.7776777Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.7777232Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.7777603Z loss = ce(linear(x), y) 2025-12-04T09:35:13.7778169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.7778640Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.7779076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.7779503Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.7779919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py", line 1363, in forward 2025-12-04T09:35:13.7780323Z return F.cross_entropy( 2025-12-04T09:35:13.7780721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 3504, in cross_entropy 2025-12-04T09:35:13.7781146Z return torch._C._nn.cross_entropy_loss( 2025-12-04T09:35:13.7783325Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.67 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.60 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.34 GiB is allocated by PyTorch, and 3.01 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.7785204Z 2025-12-04T09:35:13.7785347Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.7785806Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7786123Z 2025-12-04T09:35:13.7786294Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.7786796Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.7787185Z Traceback (most recent call last): 2025-12-04T09:35:13.7787681Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7788143Z self.test_linear_and_cel() 2025-12-04T09:35:13.7788442Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.7788762Z return func(*args, **kwds) 2025-12-04T09:35:13.7789174Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.7789656Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.7790084Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.7790461Z loss = ce(linear(x), y) 2025-12-04T09:35:13.7790947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.7791420Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.7791859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.7792285Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.7792687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py", line 1363, in forward 2025-12-04T09:35:13.7793094Z return F.cross_entropy( 2025-12-04T09:35:13.7793483Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 3504, in cross_entropy 2025-12-04T09:35:13.7793910Z return torch._C._nn.cross_entropy_loss( 2025-12-04T09:35:13.7795905Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.34 GiB is allocated by PyTorch, and 2.90 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.7797802Z 2025-12-04T09:35:13.7797944Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.7798395Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7798719Z 2025-12-04T09:35:13.7798884Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.7799300Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.7799626Z Traceback (most recent call last): 2025-12-04T09:35:13.7800082Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7800537Z self.test_linear_and_cel() 2025-12-04T09:35:13.7800855Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.7801170Z return func(*args, **kwds) 2025-12-04T09:35:13.7801567Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.7802048Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.7802455Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.7802816Z loss = ce(linear(x), y) 2025-12-04T09:35:13.7803242Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.7803791Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.7804218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.7804649Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.7805100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.7805538Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.7808394Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.7810292Z 2025-12-04T09:35:13.7810429Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.7810878Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7811195Z 2025-12-04T09:35:13.7811358Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.7811769Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.7812475Z Traceback (most recent call last): 2025-12-04T09:35:13.7812968Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7813442Z self.test_linear_and_cel() 2025-12-04T09:35:13.7813765Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.7814100Z return func(*args, **kwds) 2025-12-04T09:35:13.7814509Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.7815001Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.7815436Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.7815808Z loss = ce(linear(x), y) 2025-12-04T09:35:13.7816243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.7816707Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.7817138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.7817575Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.7818000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.7818537Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.7820566Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.7822584Z 2025-12-04T09:35:13.7822825Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.7823293Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7823614Z 2025-12-04T09:35:13.7823846Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.7824271Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.7824598Z Traceback (most recent call last): 2025-12-04T09:35:13.7825051Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7825504Z self.test_linear_and_cel() 2025-12-04T09:35:13.7825801Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.7826108Z return func(*args, **kwds) 2025-12-04T09:35:13.7826566Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.7827050Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.7827474Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.7827837Z loss = ce(linear(x), y) 2025-12-04T09:35:13.7828257Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.7829038Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.7829739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.7830171Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.7830571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py", line 1363, in forward 2025-12-04T09:35:13.7830981Z return F.cross_entropy( 2025-12-04T09:35:13.7831378Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 3504, in cross_entropy 2025-12-04T09:35:13.7831816Z return torch._C._nn.cross_entropy_loss( 2025-12-04T09:35:13.7833804Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.34 GiB is allocated by PyTorch, and 2.89 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.7835707Z 2025-12-04T09:35:13.7835840Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.7836299Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7836622Z 2025-12-04T09:35:13.7836796Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.7837211Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.7837534Z Traceback (most recent call last): 2025-12-04T09:35:13.7837985Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7838437Z self.test_linear_and_cel() 2025-12-04T09:35:13.7838735Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.7839043Z return func(*args, **kwds) 2025-12-04T09:35:13.7839434Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.7839921Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.7840435Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.7840804Z loss = ce(linear(x), y) 2025-12-04T09:35:13.7841292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.7841759Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.7842177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.7842603Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.7843008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.7843437Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.7845498Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.7847408Z 2025-12-04T09:35:13.7847549Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.7848000Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7848321Z 2025-12-04T09:35:13.7848483Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.7848898Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.7849220Z Traceback (most recent call last): 2025-12-04T09:35:13.7849669Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7850124Z self.test_linear_and_cel() 2025-12-04T09:35:13.7850416Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.7850729Z return func(*args, **kwds) 2025-12-04T09:35:13.7851137Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.7851612Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.7852018Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.7852376Z loss = ce(linear(x), y) 2025-12-04T09:35:13.7852801Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.7853266Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.7853698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.7854128Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.7854532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.7854960Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.7857108Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.7859276Z 2025-12-04T09:35:13.7859412Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.7859867Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7860182Z 2025-12-04T09:35:13.7860347Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.7860760Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.7861079Z Traceback (most recent call last): 2025-12-04T09:35:13.7861581Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7862055Z self.test_linear_and_cel() 2025-12-04T09:35:13.7862351Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.7862666Z return func(*args, **kwds) 2025-12-04T09:35:13.7863055Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.7863529Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.7863943Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.7864304Z loss = ce(linear(x), y) 2025-12-04T09:35:13.7864725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.7865182Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.7865609Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.7866040Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.7866443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py", line 1363, in forward 2025-12-04T09:35:13.7866841Z return F.cross_entropy( 2025-12-04T09:35:13.7867237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 3504, in cross_entropy 2025-12-04T09:35:13.7867667Z return torch._C._nn.cross_entropy_loss( 2025-12-04T09:35:13.7869754Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.61 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.34 GiB is allocated by PyTorch, and 2.89 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.7871732Z 2025-12-04T09:35:13.7871870Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.7872313Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7872635Z 2025-12-04T09:35:13.7872795Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.7873202Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.7873530Z Traceback (most recent call last): 2025-12-04T09:35:13.7873974Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7874519Z self.test_linear_and_cel() 2025-12-04T09:35:13.7874820Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.7875164Z return func(*args, **kwds) 2025-12-04T09:35:13.7875558Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.7876034Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.7876453Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.7876803Z loss = ce(linear(x), y) 2025-12-04T09:35:13.7877226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.7877682Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.7878142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.7878582Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.7878987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.7879422Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.7881522Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.7883501Z 2025-12-04T09:35:13.7883637Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.7884084Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7884400Z 2025-12-04T09:35:13.7884559Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.7884965Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.7885288Z Traceback (most recent call last): 2025-12-04T09:35:13.7885727Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7886177Z self.test_linear_and_cel() 2025-12-04T09:35:13.7886468Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.7886788Z return func(*args, **kwds) 2025-12-04T09:35:13.7887170Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.7887644Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.7888062Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.7888417Z loss = ce(linear(x), y) 2025-12-04T09:35:13.7888837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.7889290Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.7889710Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.7890141Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.7890550Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.7891067Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.7893200Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.7895170Z 2025-12-04T09:35:13.7895354Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.7895807Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7896132Z 2025-12-04T09:35:13.7896294Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.7896697Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.7897024Z Traceback (most recent call last): 2025-12-04T09:35:13.7897460Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7897915Z self.test_linear_and_cel() 2025-12-04T09:35:13.7898301Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.7898614Z return func(*args, **kwds) 2025-12-04T09:35:13.7898998Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.7899476Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.7899903Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.7900253Z loss = ce(linear(x), y) 2025-12-04T09:35:13.7900673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.7901133Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.7901556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.7901976Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.7902378Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py", line 1363, in forward 2025-12-04T09:35:13.7902779Z return F.cross_entropy( 2025-12-04T09:35:13.7903155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 3504, in cross_entropy 2025-12-04T09:35:13.7903601Z return torch._C._nn.cross_entropy_loss( 2025-12-04T09:35:13.7905680Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.7907654Z 2025-12-04T09:35:13.7907786Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.7908365Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7908681Z 2025-12-04T09:35:13.7908851Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.7909299Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.7909629Z Traceback (most recent call last): 2025-12-04T09:35:13.7910081Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7910533Z self.test_linear_and_cel() 2025-12-04T09:35:13.7910833Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.7911152Z return func(*args, **kwds) 2025-12-04T09:35:13.7911543Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.7912451Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.7912941Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.7913315Z loss = ce(linear(x), y) 2025-12-04T09:35:13.7913759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.7914224Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.7914650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.7915073Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.7915473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.7915910Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.7918035Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.7920054Z 2025-12-04T09:35:13.7920187Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.7920638Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7920955Z 2025-12-04T09:35:13.7921124Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.7921530Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.7921871Z Traceback (most recent call last): 2025-12-04T09:35:13.7922326Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7922771Z self.test_linear_and_cel() 2025-12-04T09:35:13.7923066Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.7923379Z return func(*args, **kwds) 2025-12-04T09:35:13.7923770Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.7924239Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.7924657Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.7925015Z loss = ce(linear(x), y) 2025-12-04T09:35:13.7925632Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.7926097Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.7926582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.7927013Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.7927409Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py", line 1363, in forward 2025-12-04T09:35:13.7927809Z return F.cross_entropy( 2025-12-04T09:35:13.7928195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 3504, in cross_entropy 2025-12-04T09:35:13.7928617Z return torch._C._nn.cross_entropy_loss( 2025-12-04T09:35:13.7930755Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.7932748Z 2025-12-04T09:35:13.7932881Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.7933328Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7933653Z 2025-12-04T09:35:13.7933824Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.7934249Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.7934573Z Traceback (most recent call last): 2025-12-04T09:35:13.7935031Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7935494Z self.test_linear_and_cel() 2025-12-04T09:35:13.7935800Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.7936111Z return func(*args, **kwds) 2025-12-04T09:35:13.7936521Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.7936999Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.7937411Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.7937774Z loss = ce(linear(x), y) 2025-12-04T09:35:13.7938307Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.7938780Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.7939201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.7939632Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.7940040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.7940474Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.7942655Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.7944712Z 2025-12-04T09:35:13.7944844Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.7945300Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7945623Z 2025-12-04T09:35:13.7945782Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.7946190Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.7946510Z Traceback (most recent call last): 2025-12-04T09:35:13.7946997Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7947459Z self.test_linear_and_cel() 2025-12-04T09:35:13.7947746Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.7948065Z return func(*args, **kwds) 2025-12-04T09:35:13.7948458Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.7948932Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.7949343Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.7949700Z loss = ce(linear(x), y) 2025-12-04T09:35:13.7950119Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.7950585Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.7951016Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.7951447Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.7951860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.7952296Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.7954397Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.70 GiB is allocated by PyTorch, and 2.54 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.7956393Z 2025-12-04T09:35:13.7956526Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.7956973Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7957295Z 2025-12-04T09:35:13.7957455Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.7957862Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.7958184Z Traceback (most recent call last): 2025-12-04T09:35:13.7958648Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7959109Z self.test_linear_and_cel() 2025-12-04T09:35:13.7959404Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.7959809Z return func(*args, **kwds) 2025-12-04T09:35:13.7960203Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.7960715Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.7961127Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.7961487Z loss = ce(linear(x), y) 2025-12-04T09:35:13.7961920Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.7962376Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.7962802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.7963231Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.7963672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py", line 1363, in forward 2025-12-04T09:35:13.7964076Z return F.cross_entropy( 2025-12-04T09:35:13.7964463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 3504, in cross_entropy 2025-12-04T09:35:13.7964899Z return torch._C._nn.cross_entropy_loss( 2025-12-04T09:35:13.7966987Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.7968974Z 2025-12-04T09:35:13.7969114Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.7969555Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7969875Z 2025-12-04T09:35:13.7970034Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.7970440Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.7970766Z Traceback (most recent call last): 2025-12-04T09:35:13.7971205Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7971661Z self.test_linear_and_cel() 2025-12-04T09:35:13.7971956Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.7972279Z return func(*args, **kwds) 2025-12-04T09:35:13.7972673Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.7973153Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.7973570Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.7973923Z loss = ce(linear(x), y) 2025-12-04T09:35:13.7974346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.7974805Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.7975227Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.7975646Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.7976054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.7976612Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.7978847Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.7980837Z 2025-12-04T09:35:13.7981021Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.7981473Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7981801Z 2025-12-04T09:35:13.7981963Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.7982371Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.7982700Z Traceback (most recent call last): 2025-12-04T09:35:13.7983143Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7983601Z self.test_linear_and_cel() 2025-12-04T09:35:13.7983912Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.7984221Z return func(*args, **kwds) 2025-12-04T09:35:13.7984618Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.7985101Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.7985526Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.7985882Z loss = ce(linear(x), y) 2025-12-04T09:35:13.7986319Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.7986781Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.7987197Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.7987626Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.7988036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.7988478Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.7990577Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.70 GiB is allocated by PyTorch, and 2.54 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.7992557Z 2025-12-04T09:35:13.7992707Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.7993148Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7993473Z 2025-12-04T09:35:13.7993690Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.7994136Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.7994467Z Traceback (most recent call last): 2025-12-04T09:35:13.7994945Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.7995398Z self.test_linear_and_cel() 2025-12-04T09:35:13.7995695Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.7996005Z return func(*args, **kwds) 2025-12-04T09:35:13.7996402Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.7996885Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.7997304Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.7997654Z loss = ce(linear(x), y) 2025-12-04T09:35:13.7998125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.7998593Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.7999014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.7999439Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.7999843Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py", line 1363, in forward 2025-12-04T09:35:13.8000242Z return F.cross_entropy( 2025-12-04T09:35:13.8000620Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 3504, in cross_entropy 2025-12-04T09:35:13.8001045Z return torch._C._nn.cross_entropy_loss( 2025-12-04T09:35:13.8003127Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8005109Z 2025-12-04T09:35:13.8005238Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8005681Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8006007Z 2025-12-04T09:35:13.8006176Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8006584Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8006918Z Traceback (most recent call last): 2025-12-04T09:35:13.8007367Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8007817Z self.test_linear_and_cel() 2025-12-04T09:35:13.8008113Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8008425Z return func(*args, **kwds) 2025-12-04T09:35:13.8008816Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8009285Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8009699Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8010064Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8010578Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8011043Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8011502Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8011933Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8012730Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.8013176Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.8015388Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.57 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 218.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8017389Z 2025-12-04T09:35:13.8017535Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8017989Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8018387Z 2025-12-04T09:35:13.8018559Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8018963Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8019300Z Traceback (most recent call last): 2025-12-04T09:35:13.8019762Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8020210Z self.test_linear_and_cel() 2025-12-04T09:35:13.8020511Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8020831Z return func(*args, **kwds) 2025-12-04T09:35:13.8021216Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8021703Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8022127Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8022484Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8022899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8023361Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8023792Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8024349Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8025018Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.8025711Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.8028257Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.57 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 218.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.70 GiB is allocated by PyTorch, and 2.54 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8030427Z 2025-12-04T09:35:13.8030621Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8031086Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8031403Z 2025-12-04T09:35:13.8031565Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8031972Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8032309Z Traceback (most recent call last): 2025-12-04T09:35:13.8032758Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8033204Z self.test_linear_and_cel() 2025-12-04T09:35:13.8033570Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8033887Z return func(*args, **kwds) 2025-12-04T09:35:13.8034284Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8034763Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8035178Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8035534Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8035954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8036415Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8036841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8037261Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8037675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py", line 1363, in forward 2025-12-04T09:35:13.8038092Z return F.cross_entropy( 2025-12-04T09:35:13.8038483Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 3504, in cross_entropy 2025-12-04T09:35:13.8038908Z return torch._C._nn.cross_entropy_loss( 2025-12-04T09:35:13.8040994Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.57 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 218.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8042988Z 2025-12-04T09:35:13.8043123Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8043571Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8043888Z 2025-12-04T09:35:13.8044056Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8044465Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8044786Z Traceback (most recent call last): 2025-12-04T09:35:13.8045237Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8045696Z self.test_linear_and_cel() 2025-12-04T09:35:13.8045988Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8046399Z return func(*args, **kwds) 2025-12-04T09:35:13.8046796Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8047308Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8047725Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8048085Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8048509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8048964Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8049400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8049840Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8050288Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.8050738Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.8052845Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.57 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 218.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.70 GiB is allocated by PyTorch, and 2.54 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8054825Z 2025-12-04T09:35:13.8054960Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8055404Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8055715Z 2025-12-04T09:35:13.8055884Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8056290Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8056608Z Traceback (most recent call last): 2025-12-04T09:35:13.8057049Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8057509Z self.test_linear_and_cel() 2025-12-04T09:35:13.8057799Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8058221Z return func(*args, **kwds) 2025-12-04T09:35:13.8058620Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8059110Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8059536Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8059900Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8060329Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8060787Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8061216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8061648Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8062066Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py", line 1363, in forward 2025-12-04T09:35:13.8062478Z return F.cross_entropy( 2025-12-04T09:35:13.8062879Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 3504, in cross_entropy 2025-12-04T09:35:13.8063397Z return torch._C._nn.cross_entropy_loss( 2025-12-04T09:35:13.8065546Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.57 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 218.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8067539Z 2025-12-04T09:35:13.8067722Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8068184Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8068509Z 2025-12-04T09:35:13.8068674Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8069086Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8069417Z Traceback (most recent call last): 2025-12-04T09:35:13.8069874Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8070333Z self.test_linear_and_cel() 2025-12-04T09:35:13.8070638Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8070948Z return func(*args, **kwds) 2025-12-04T09:35:13.8071340Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8071829Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8072252Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8072610Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8073037Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8073500Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8073922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8074354Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8074768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.8075213Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.8077223Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.70 GiB is allocated by PyTorch, and 2.54 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8079121Z 2025-12-04T09:35:13.8079260Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8079706Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8080031Z 2025-12-04T09:35:13.8080192Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8080694Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8081032Z Traceback (most recent call last): 2025-12-04T09:35:13.8081511Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8081968Z self.test_linear_and_cel() 2025-12-04T09:35:13.8082265Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8082574Z return func(*args, **kwds) 2025-12-04T09:35:13.8082965Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8083442Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8083856Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8084211Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8084683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8085161Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8085583Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8086008Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8086415Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.8086847Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.8088849Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.82 GiB is allocated by PyTorch, and 2.42 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8090739Z 2025-12-04T09:35:13.8090868Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8091311Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8091631Z 2025-12-04T09:35:13.8091790Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8092199Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8092519Z Traceback (most recent call last): 2025-12-04T09:35:13.8092972Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8093436Z self.test_linear_and_cel() 2025-12-04T09:35:13.8093732Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8094045Z return func(*args, **kwds) 2025-12-04T09:35:13.8094437Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8094915Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8095324Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8095694Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8096121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8096584Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8097005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8097526Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8097987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py", line 1363, in forward 2025-12-04T09:35:13.8098466Z return F.cross_entropy( 2025-12-04T09:35:13.8098858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 3504, in cross_entropy 2025-12-04T09:35:13.8099306Z return torch._C._nn.cross_entropy_loss( 2025-12-04T09:35:13.8101252Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.98 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8103060Z 2025-12-04T09:35:13.8103201Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8103656Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8103976Z 2025-12-04T09:35:13.8104138Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8104546Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8104875Z Traceback (most recent call last): 2025-12-04T09:35:13.8105318Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8105784Z self.test_linear_and_cel() 2025-12-04T09:35:13.8106088Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8106408Z return func(*args, **kwds) 2025-12-04T09:35:13.8106802Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8107274Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8107689Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8108044Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8108464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8108921Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8109354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8109778Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8110196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.8110648Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.8112856Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.98 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.70 GiB is allocated by PyTorch, and 2.54 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8114655Z 2025-12-04T09:35:13.8114972Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8115420Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8115744Z 2025-12-04T09:35:13.8115963Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8116379Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8116711Z Traceback (most recent call last): 2025-12-04T09:35:13.8117158Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8117629Z self.test_linear_and_cel() 2025-12-04T09:35:13.8117929Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8118422Z return func(*args, **kwds) 2025-12-04T09:35:13.8118846Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8119571Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8120019Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8120393Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8120821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8121292Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8121717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8122147Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8122560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.8123000Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.8124922Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.98 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.82 GiB is allocated by PyTorch, and 2.42 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8127372Z 2025-12-04T09:35:13.8127529Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8127988Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8128314Z 2025-12-04T09:35:13.8128486Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8128909Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8129236Z Traceback (most recent call last): 2025-12-04T09:35:13.8129698Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8130167Z self.test_linear_and_cel() 2025-12-04T09:35:13.8130470Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8130779Z return func(*args, **kwds) 2025-12-04T09:35:13.8131175Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8131659Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8132080Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8132446Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8132947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8133455Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8133917Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8134356Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8134766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py", line 1363, in forward 2025-12-04T09:35:13.8135166Z return F.cross_entropy( 2025-12-04T09:35:13.8135546Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 3504, in cross_entropy 2025-12-04T09:35:13.8135970Z return torch._C._nn.cross_entropy_loss( 2025-12-04T09:35:13.8137920Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.98 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.34 GiB is allocated by PyTorch, and 2.89 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8139864Z 2025-12-04T09:35:13.8140001Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8140452Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8140770Z 2025-12-04T09:35:13.8140941Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8141361Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8141705Z Traceback (most recent call last): 2025-12-04T09:35:13.8142174Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8142627Z self.test_linear_and_cel() 2025-12-04T09:35:13.8142928Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8143243Z return func(*args, **kwds) 2025-12-04T09:35:13.8143635Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8144119Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8144546Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8144910Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8145341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8145818Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8146252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8146681Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8147109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.8147551Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.8149486Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.98 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8151372Z 2025-12-04T09:35:13.8151555Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8152003Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8152331Z 2025-12-04T09:35:13.8152492Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8152906Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8153236Z Traceback (most recent call last): 2025-12-04T09:35:13.8153692Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8154147Z self.test_linear_and_cel() 2025-12-04T09:35:13.8154510Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8154842Z return func(*args, **kwds) 2025-12-04T09:35:13.8155231Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8155724Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8156163Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8156528Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8156977Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8157445Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8157875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8158302Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8158717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.8159165Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.8161087Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.98 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8162877Z 2025-12-04T09:35:13.8163014Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8163460Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8163781Z 2025-12-04T09:35:13.8163946Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8164356Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8164701Z Traceback (most recent call last): 2025-12-04T09:35:13.8165147Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8165606Z self.test_linear_and_cel() 2025-12-04T09:35:13.8165899Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8166208Z return func(*args, **kwds) 2025-12-04T09:35:13.8166603Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8167129Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8167621Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8167975Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8168446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8168912Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8169328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8169757Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8170162Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py", line 1363, in forward 2025-12-04T09:35:13.8170571Z return F.cross_entropy( 2025-12-04T09:35:13.8170954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 3504, in cross_entropy 2025-12-04T09:35:13.8171435Z return torch._C._nn.cross_entropy_loss( 2025-12-04T09:35:13.8173436Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8175331Z 2025-12-04T09:35:13.8175462Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8175914Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8176238Z 2025-12-04T09:35:13.8176399Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8176813Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8177139Z Traceback (most recent call last): 2025-12-04T09:35:13.8177592Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8178126Z self.test_linear_and_cel() 2025-12-04T09:35:13.8178429Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8178753Z return func(*args, **kwds) 2025-12-04T09:35:13.8179139Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8179620Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8180045Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8180415Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8180835Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8181307Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8181731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8182156Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8182565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.8183005Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.8185072Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8187041Z 2025-12-04T09:35:13.8187184Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8187633Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8187951Z 2025-12-04T09:35:13.8188111Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8188562Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8188896Z Traceback (most recent call last): 2025-12-04T09:35:13.8189345Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8189801Z self.test_linear_and_cel() 2025-12-04T09:35:13.8190102Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8190415Z return func(*args, **kwds) 2025-12-04T09:35:13.8190798Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8191280Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8191703Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8192070Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8192493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8192970Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8193400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8193825Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8194234Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py", line 1363, in forward 2025-12-04T09:35:13.8194635Z return F.cross_entropy( 2025-12-04T09:35:13.8195026Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 3504, in cross_entropy 2025-12-04T09:35:13.8195447Z return torch._C._nn.cross_entropy_loss( 2025-12-04T09:35:13.8197439Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8199338Z 2025-12-04T09:35:13.8199470Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8199919Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8200235Z 2025-12-04T09:35:13.8200403Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8200806Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8201280Z Traceback (most recent call last): 2025-12-04T09:35:13.8201769Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8202223Z self.test_linear_and_cel() 2025-12-04T09:35:13.8202552Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8202869Z return func(*args, **kwds) 2025-12-04T09:35:13.8203263Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8203737Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8204167Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8204533Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8204959Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8205414Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8205891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8206325Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8206733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.8215497Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.8217609Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8219626Z 2025-12-04T09:35:13.8219778Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8220248Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8220568Z 2025-12-04T09:35:13.8220745Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8221157Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8221488Z Traceback (most recent call last): 2025-12-04T09:35:13.8221949Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8222413Z self.test_linear_and_cel() 2025-12-04T09:35:13.8222730Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8223053Z return func(*args, **kwds) 2025-12-04T09:35:13.8223450Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8223928Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8224353Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8224721Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8225147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8225626Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8226068Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8226498Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8227075Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.8227599Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.8229669Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.70 GiB is allocated by PyTorch, and 2.54 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8231548Z 2025-12-04T09:35:13.8231750Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8232206Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8232523Z 2025-12-04T09:35:13.8232701Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8233104Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8233434Z Traceback (most recent call last): 2025-12-04T09:35:13.8233883Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8234330Z self.test_linear_and_cel() 2025-12-04T09:35:13.8234629Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8234940Z return func(*args, **kwds) 2025-12-04T09:35:13.8235328Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8235804Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8236221Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8236579Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8236996Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8237461Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8237892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8238317Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8238718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py", line 1363, in forward 2025-12-04T09:35:13.8239116Z return F.cross_entropy( 2025-12-04T09:35:13.8239510Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 3504, in cross_entropy 2025-12-04T09:35:13.8239945Z return torch._C._nn.cross_entropy_loss( 2025-12-04T09:35:13.8241930Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8243809Z 2025-12-04T09:35:13.8243946Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8244526Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8244853Z 2025-12-04T09:35:13.8245019Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8245477Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8245814Z Traceback (most recent call last): 2025-12-04T09:35:13.8246269Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8246732Z self.test_linear_and_cel() 2025-12-04T09:35:13.8247035Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8247351Z return func(*args, **kwds) 2025-12-04T09:35:13.8247750Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8248235Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8248708Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8249076Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8249511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8249968Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8250392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8250828Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8251242Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.8251671Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.8253682Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8255566Z 2025-12-04T09:35:13.8255701Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8256151Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8256465Z 2025-12-04T09:35:13.8256636Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8257049Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8257385Z Traceback (most recent call last): 2025-12-04T09:35:13.8257836Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8258374Z self.test_linear_and_cel() 2025-12-04T09:35:13.8258674Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8258995Z return func(*args, **kwds) 2025-12-04T09:35:13.8259386Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8259856Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8260276Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8260634Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8261057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8261618Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8262078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8262507Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8262906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.8263341Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.8265366Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.70 GiB is allocated by PyTorch, and 2.54 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8267253Z 2025-12-04T09:35:13.8267389Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8267841Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8268154Z 2025-12-04T09:35:13.8268313Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8268720Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8269052Z Traceback (most recent call last): 2025-12-04T09:35:13.8269500Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8269947Z self.test_linear_and_cel() 2025-12-04T09:35:13.8270237Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8270546Z return func(*args, **kwds) 2025-12-04T09:35:13.8270933Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8271400Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8271813Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8272165Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8272578Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8273034Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8273452Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8273891Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8274292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py", line 1363, in forward 2025-12-04T09:35:13.8274690Z return F.cross_entropy( 2025-12-04T09:35:13.8275074Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 3504, in cross_entropy 2025-12-04T09:35:13.8275490Z return torch._C._nn.cross_entropy_loss( 2025-12-04T09:35:13.8277465Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8279459Z 2025-12-04T09:35:13.8279589Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8280045Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8280358Z 2025-12-04T09:35:13.8280531Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8280942Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8281261Z Traceback (most recent call last): 2025-12-04T09:35:13.8281711Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8282168Z self.test_linear_and_cel() 2025-12-04T09:35:13.8282509Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8282831Z return func(*args, **kwds) 2025-12-04T09:35:13.8283227Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8283712Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8284127Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8284487Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8284982Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8285437Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8285862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8286305Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8286719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.8287148Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.8289162Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8291049Z 2025-12-04T09:35:13.8291186Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8291647Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8291964Z 2025-12-04T09:35:13.8292134Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8292542Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8292871Z Traceback (most recent call last): 2025-12-04T09:35:13.8293318Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8293781Z self.test_linear_and_cel() 2025-12-04T09:35:13.8294074Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8294386Z return func(*args, **kwds) 2025-12-04T09:35:13.8294778Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8295002Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8295219Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8295325Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8295629Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8295716Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8295984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8296064Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8296322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.8296423Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.8298421Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.70 GiB is allocated by PyTorch, and 2.54 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8298433Z 2025-12-04T09:35:13.8298572Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8298818Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8298823Z 2025-12-04T09:35:13.8298990Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8299157Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8299241Z Traceback (most recent call last): 2025-12-04T09:35:13.8299561Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8299639Z self.test_linear_and_cel() 2025-12-04T09:35:13.8299805Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8299874Z return func(*args, **kwds) 2025-12-04T09:35:13.8300142Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8300272Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8300482Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8300568Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8300868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8300956Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8301225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8301304Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8301558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py", line 1363, in forward 2025-12-04T09:35:13.8301627Z return F.cross_entropy( 2025-12-04T09:35:13.8301898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 3504, in cross_entropy 2025-12-04T09:35:13.8301982Z return torch._C._nn.cross_entropy_loss( 2025-12-04T09:35:13.8303856Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8303937Z 2025-12-04T09:35:13.8304071Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8304309Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8304313Z 2025-12-04T09:35:13.8304476Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8304690Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8304776Z Traceback (most recent call last): 2025-12-04T09:35:13.8305080Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8305152Z self.test_linear_and_cel() 2025-12-04T09:35:13.8305322Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8305391Z return func(*args, **kwds) 2025-12-04T09:35:13.8305655Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8305788Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8306000Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8306075Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8306379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8306472Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8306749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8306830Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8307084Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 134, in forward 2025-12-04T09:35:13.8307194Z return F.linear(input, self.weight, self.bias) 2025-12-04T09:35:13.8309023Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.70 GiB is allocated by PyTorch, and 2.54 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8309045Z 2025-12-04T09:35:13.8309176Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8309412Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8309416Z 2025-12-04T09:35:13.8309583Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8309748Z _____________ InplacePaddingTest.test_linear_and_cel_max_autotune ______________ 2025-12-04T09:35:13.8309830Z Traceback (most recent call last): 2025-12-04T09:35:13.8310133Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 259, in test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8310285Z self.test_linear_and_cel() 2025-12-04T09:35:13.8310453Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T09:35:13.8310565Z return func(*args, **kwds) 2025-12-04T09:35:13.8310832Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 242, in test_linear_and_cel 2025-12-04T09:35:13.8310967Z expect = (f(x, y), x.grad, linear.weight.grad, linear.bias.grad) 2025-12-04T09:35:13.8311173Z File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 232, in f 2025-12-04T09:35:13.8311249Z loss = ce(linear(x), y) 2025-12-04T09:35:13.8311546Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T09:35:13.8311628Z return self._call_impl(*args, **kwargs) 2025-12-04T09:35:13.8311935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T09:35:13.8312310Z return forward_call(*args, **kwargs) 2025-12-04T09:35:13.8312600Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py", line 1363, in forward 2025-12-04T09:35:13.8312684Z return F.cross_entropy( 2025-12-04T09:35:13.8312949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py", line 3504, in cross_entropy 2025-12-04T09:35:13.8313041Z return torch._C._nn.cross_entropy_loss( 2025-12-04T09:35:13.8314888Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8314897Z 2025-12-04T09:35:13.8315045Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8315285Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8315289Z 2025-12-04T09:35:13.8315460Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8315928Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inplace_padding/inductor.test_inplace_padding-43d847b6b44d2c34.xml - 2025-12-04T09:35:13.8316036Z =========================== short test summary info ============================ 2025-12-04T09:35:13.8318200Z FAILED [0.5415s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.67 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.60 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 6.29 GiB is allocated by PyTorch, and 64.65 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8318207Z 2025-12-04T09:35:13.8318339Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8318695Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8318766Z 2025-12-04T09:35:13.8318931Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8321153Z FAILED [0.2800s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.67 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.60 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.34 GiB is allocated by PyTorch, and 3.01 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8321164Z 2025-12-04T09:35:13.8321292Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8321533Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8321536Z 2025-12-04T09:35:13.8321692Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8323811Z FAILED [0.2722s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.67 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.60 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.34 GiB is allocated by PyTorch, and 3.01 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8323819Z 2025-12-04T09:35:13.8323946Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8324184Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8324188Z 2025-12-04T09:35:13.8324343Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8326462Z FAILED [0.2705s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.67 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.60 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.90 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8326470Z 2025-12-04T09:35:13.8326596Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8326833Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8326837Z 2025-12-04T09:35:13.8326992Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8329176Z FAILED [0.4119s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.67 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.60 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.34 GiB is allocated by PyTorch, and 3.01 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8329232Z 2025-12-04T09:35:13.8329366Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8329637Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8329643Z 2025-12-04T09:35:13.8329799Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8331909Z FAILED [0.3536s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.34 GiB is allocated by PyTorch, and 2.90 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8331916Z 2025-12-04T09:35:13.8332047Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8332279Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8332282Z 2025-12-04T09:35:13.8332436Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8334551Z FAILED [0.2710s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8334560Z 2025-12-04T09:35:13.8334688Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8334918Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8334921Z 2025-12-04T09:35:13.8335086Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8337241Z FAILED [0.2691s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8337310Z 2025-12-04T09:35:13.8337443Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8337682Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8337685Z 2025-12-04T09:35:13.8337836Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8340094Z FAILED [0.3672s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.34 GiB is allocated by PyTorch, and 2.89 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8340101Z 2025-12-04T09:35:13.8340237Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8340471Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8340476Z 2025-12-04T09:35:13.8340633Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8342743Z FAILED [0.2692s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8342752Z 2025-12-04T09:35:13.8342888Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8343125Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8343128Z 2025-12-04T09:35:13.8343284Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8345552Z FAILED [0.2693s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8345623Z 2025-12-04T09:35:13.8345755Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8345986Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8345989Z 2025-12-04T09:35:13.8346144Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8348395Z FAILED [0.3675s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.61 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.34 GiB is allocated by PyTorch, and 2.89 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8348404Z 2025-12-04T09:35:13.8348539Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8348765Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8348768Z 2025-12-04T09:35:13.8348924Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8351125Z FAILED [0.2709s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8351132Z 2025-12-04T09:35:13.8351262Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8351493Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8351497Z 2025-12-04T09:35:13.8351653Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8353906Z FAILED [0.2871s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8353978Z 2025-12-04T09:35:13.8354114Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8354346Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8354349Z 2025-12-04T09:35:13.8354503Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8356745Z FAILED [0.2735s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8356753Z 2025-12-04T09:35:13.8356886Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8357116Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8357119Z 2025-12-04T09:35:13.8357273Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8359490Z FAILED [0.2729s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8359497Z 2025-12-04T09:35:13.8359634Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8359867Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8359870Z 2025-12-04T09:35:13.8360023Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8362238Z FAILED [0.3275s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8362335Z 2025-12-04T09:35:13.8362505Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8362736Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8362739Z 2025-12-04T09:35:13.8362891Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8365141Z FAILED [0.2662s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8365149Z 2025-12-04T09:35:13.8365280Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8365511Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8365513Z 2025-12-04T09:35:13.8365667Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8367878Z FAILED [0.2638s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.70 GiB is allocated by PyTorch, and 2.54 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8367887Z 2025-12-04T09:35:13.8368016Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8368244Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8368251Z 2025-12-04T09:35:13.8368404Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8370611Z FAILED [0.2905s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8370688Z 2025-12-04T09:35:13.8370821Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8371091Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8371095Z 2025-12-04T09:35:13.8371250Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8373496Z FAILED [0.2668s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8373504Z 2025-12-04T09:35:13.8373636Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8373868Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8373871Z 2025-12-04T09:35:13.8374025Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8376240Z FAILED [0.2656s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.70 GiB is allocated by PyTorch, and 2.54 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8376248Z 2025-12-04T09:35:13.8376380Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8376611Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8376615Z 2025-12-04T09:35:13.8376774Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8379098Z FAILED [0.2915s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.60 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8379103Z 2025-12-04T09:35:13.8379240Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8379557Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8379560Z 2025-12-04T09:35:13.8379760Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8382093Z FAILED [0.2891s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.57 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 218.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8382101Z 2025-12-04T09:35:13.8382238Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8382468Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8382471Z 2025-12-04T09:35:13.8382637Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8384853Z FAILED [0.2898s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.57 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 218.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.70 GiB is allocated by PyTorch, and 2.54 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8384861Z 2025-12-04T09:35:13.8384992Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8385225Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8385228Z 2025-12-04T09:35:13.8385390Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8387616Z FAILED [0.2720s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.57 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 218.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8387624Z 2025-12-04T09:35:13.8387755Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8387989Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8388069Z 2025-12-04T09:35:13.8388238Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8390610Z FAILED [0.2672s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.57 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 218.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.70 GiB is allocated by PyTorch, and 2.54 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8390636Z 2025-12-04T09:35:13.8390863Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8391115Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8391118Z 2025-12-04T09:35:13.8391285Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8393619Z FAILED [0.2859s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.57 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. Process 35880 has 218.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8393631Z 2025-12-04T09:35:13.8393767Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8393998Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8394002Z 2025-12-04T09:35:13.8394167Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8396283Z FAILED [0.2823s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.70 GiB is allocated by PyTorch, and 2.54 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8396293Z 2025-12-04T09:35:13.8396422Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8396651Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8396654Z 2025-12-04T09:35:13.8396823Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8399093Z FAILED [0.2711s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 35705 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.82 GiB is allocated by PyTorch, and 2.42 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8399098Z 2025-12-04T09:35:13.8399231Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8399499Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8399503Z 2025-12-04T09:35:13.8399667Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8401678Z FAILED [0.3286s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.98 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8401686Z 2025-12-04T09:35:13.8401815Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8402050Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8402053Z 2025-12-04T09:35:13.8402214Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8404346Z FAILED [0.2714s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.98 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.70 GiB is allocated by PyTorch, and 2.54 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8404357Z 2025-12-04T09:35:13.8404493Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8404726Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8404729Z 2025-12-04T09:35:13.8404884Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8406954Z FAILED [0.3067s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.98 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.82 GiB is allocated by PyTorch, and 2.42 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8407032Z 2025-12-04T09:35:13.8407169Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8407409Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8407415Z 2025-12-04T09:35:13.8407570Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8409635Z FAILED [0.3904s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.98 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.34 GiB is allocated by PyTorch, and 2.89 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8409644Z 2025-12-04T09:35:13.8409778Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8410008Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8410014Z 2025-12-04T09:35:13.8410172Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8412444Z FAILED [0.2717s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.98 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8412450Z 2025-12-04T09:35:13.8412591Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8412826Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8412830Z 2025-12-04T09:35:13.8412988Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8415018Z FAILED [0.2871s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.98 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8415160Z 2025-12-04T09:35:13.8415299Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8415585Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8415590Z 2025-12-04T09:35:13.8415745Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8418119Z FAILED [0.2747s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8418134Z 2025-12-04T09:35:13.8418281Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8418520Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8418523Z 2025-12-04T09:35:13.8418681Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8420820Z FAILED [0.2703s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8420828Z 2025-12-04T09:35:13.8420958Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8421186Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8421189Z 2025-12-04T09:35:13.8421344Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8423472Z FAILED [0.2916s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8423476Z 2025-12-04T09:35:13.8423609Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8423932Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8423935Z 2025-12-04T09:35:13.8424132Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8426338Z FAILED [0.2699s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8426347Z 2025-12-04T09:35:13.8426474Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8426718Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8426722Z 2025-12-04T09:35:13.8426877Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8429000Z FAILED [0.2737s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.70 GiB is allocated by PyTorch, and 2.54 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8429007Z 2025-12-04T09:35:13.8429133Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8429370Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8429373Z 2025-12-04T09:35:13.8429527Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8431642Z FAILED [0.3031s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8431648Z 2025-12-04T09:35:13.8431774Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8432013Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8432016Z 2025-12-04T09:35:13.8432171Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8434418Z FAILED [0.3221s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8434424Z 2025-12-04T09:35:13.8434554Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8434830Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8434834Z 2025-12-04T09:35:13.8434991Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8437121Z FAILED [0.2663s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.70 GiB is allocated by PyTorch, and 2.54 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8437128Z 2025-12-04T09:35:13.8437255Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8437496Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8437499Z 2025-12-04T09:35:13.8437655Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8439794Z FAILED [0.2948s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.46 GiB is allocated by PyTorch, and 2.78 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8439800Z 2025-12-04T09:35:13.8439924Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8440162Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8440165Z 2025-12-04T09:35:13.8440320Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8442482Z FAILED [0.2662s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8442551Z 2025-12-04T09:35:13.8442681Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8442921Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8442924Z 2025-12-04T09:35:13.8443119Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8445244Z FAILED [0.2829s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.70 GiB is allocated by PyTorch, and 2.54 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8445248Z 2025-12-04T09:35:13.8445374Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8445616Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8445619Z 2025-12-04T09:35:13.8445775Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8447888Z FAILED [0.2697s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8447896Z 2025-12-04T09:35:13.8448024Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8448260Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8448264Z 2025-12-04T09:35:13.8448417Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8450578Z FAILED [0.2666s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.70 GiB is allocated by PyTorch, and 2.54 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8450647Z 2025-12-04T09:35:13.8450775Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8451011Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8451015Z 2025-12-04T09:35:13.8451169Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8453318Z FAILED [0.2851s] inductor/test_inplace_padding.py::InplacePaddingTest::test_linear_and_cel_max_autotune - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 3.07 GiB. GPU 0 has a total capacity of 22.03 GiB of which 14.79 GiB is free. Process 31996 has 186.00 MiB memory in use. Process 32050 has 190.00 MiB memory in use. Process 35397 has 186.00 MiB memory in use. Including non-PyTorch memory, this process has 6.48 GiB memory in use. Process 36281 has 186.00 MiB memory in use. 6.39 GiB allowed; Of the allocated memory 3.58 GiB is allocated by PyTorch, and 2.66 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) 2025-12-04T09:35:13.8453326Z 2025-12-04T09:35:13.8453449Z To execute this test, run the following from the base repo dir: 2025-12-04T09:35:13.8453683Z python test/inductor/test_inplace_padding.py InplacePaddingTest.test_linear_and_cel_max_autotune 2025-12-04T09:35:13.8453686Z 2025-12-04T09:35:13.8453846Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:35:13.8453971Z ====================== 50 failed, 50 deselected in 14.90s ====================== 2025-12-04T09:35:13.8453974Z 2025-12-04T09:35:13.8454333Z FINISHED PRINTING LOG FILE of inductor/test_inplace_padding 1/1 (test/test-reports/inductor.test_inplace_padding_1.1_1acd5f5cfde1e786_.log) 2025-12-04T09:35:13.8454337Z 2025-12-04T09:35:13.8454558Z Finished inductor/test_inplace_padding 1/1 ... [2025-12-04 09:35:13.766376][2560.185171968], took 0.36min 2025-12-04T09:35:13.8455059Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inplace_padding/inductor.test_inplace_padding-43d847b6b44d2c34.xml 2025-12-04T09:35:13.8538500Z 2025-12-04T09:35:13.8539218Z 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_a6cf0f8dfefb9ef8_.log 2025-12-04T09:35:13.8539325Z Running 0 items in this shard: 2025-12-04T09:35:13.8539338Z 2025-12-04T09:35:13.8539586Z Finished inductor/test_minifier_utils 1/1 ... [2025-12-04 09:35:13.853658][2560.272457064], took 0.06min 2025-12-04T09:35:13.8715499Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_minifier_utils/inductor.test_minifier_utils-9736ac579bd271f9.xml 2025-12-04T09:35:15.5254980Z Uploading logs for 57116084932 to S3 2025-12-04T09:35:15.6230177Z Uploading artifacts took 1.70 seconds 2025-12-04T09:35:15.6230775Z inductor/test_inplace_padding 1/1 failed! 2025-12-04T09:35:17.4041950Z Running inductor/test_debug_trace 1/1 ... [2025-12-04 09:35:17.403716][2563.822513689] 2025-12-04T09:35:17.4042481Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:35:17.4044933Z 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 09:35:17.404138] 2025-12-04T09:35:17.5118130Z Running dynamo/test_recompiles 1/1 ... [2025-12-04 09:35:17.511414][2563.93021159] 2025-12-04T09:35:17.5118846Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:35:17.5121290Z 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 09:35:17.511833] 2025-12-04T09:35:20.9955342Z 2025-12-04T09:35:20.9956388Z dynamo/test_recompiles 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompiles_1.1_4281e3146390f33d_.log 2025-12-04T09:35:20.9957372Z Running 0 items in this shard: 2025-12-04T09:35:20.9957598Z 2025-12-04T09:35:20.9958178Z Finished dynamo/test_recompiles 1/1 ... [2025-12-04 09:35:20.995413][2567.414212462], took 0.06min 2025-12-04T09:35:21.0186377Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_recompiles/dynamo.test_recompiles-b87c7f004683e0d2.xml 2025-12-04T09:35:23.9394087Z 2025-12-04T09:35:23.9395591Z 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_8820a5b019d220e1_.log 2025-12-04T09:35:23.9396551Z Running 0 items in this shard: 2025-12-04T09:35:23.9396789Z 2025-12-04T09:35:23.9397165Z Finished inductor/test_debug_trace 1/1 ... [2025-12-04 09:35:23.939303][2570.358100313], took 0.11min 2025-12-04T09:35:23.9566912Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_debug_trace/inductor.test_debug_trace-9762c32e17f5ee50.xml 2025-12-04T09:35:24.6342667Z Running inductor/test_foreach 1/1 ... [2025-12-04 09:35:24.633774][2571.05257279] 2025-12-04T09:35:24.6343158Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:35:24.6344512Z 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 09:35:24.634168] 2025-12-04T09:35:27.5158296Z Running inductor/test_compiled_optimizers 2/3 ... [2025-12-04 09:35:27.515326][2573.934123014] 2025-12-04T09:35:27.5158943Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:35:27.5160794Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compiled_optimizers.py', '-m', 'not serial', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:27.515763] 2025-12-04T09:35:31.8052263Z 2025-12-04T09:35:31.8053309Z inductor/test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_foreach_1.1_3f2ca3eab3cf7838_.log 2025-12-04T09:35:31.8054308Z Running 0 items in this shard: 2025-12-04T09:35:31.8054557Z 2025-12-04T09:35:31.8054904Z Finished inductor/test_foreach 1/1 ... [2025-12-04 09:35:31.805025][2578.223825751], took 0.12min 2025-12-04T09:35:31.8224581Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_foreach/inductor.test_foreach-c5b6c75e04a86150.xml 2025-12-04T09:35:35.4162017Z Running inductor/test_control_flow 2/5 ... [2025-12-04 09:35:35.415728][2581.834524764] 2025-12-04T09:35:35.4162531Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:35:35.4164784Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_control_flow.py', '-m', 'not serial', '--shard-id=2', '--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 09:35:35.416147] 2025-12-04T09:35:36.0009324Z 2025-12-04T09:35:36.0010826Z inductor/test_compiled_optimizers 2/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_optimizers_2.3_bbaa5ec624517baf_.log 2025-12-04T09:35:36.0011713Z Running 0 items in this shard: 2025-12-04T09:35:36.0011894Z 2025-12-04T09:35:36.0012568Z Finished inductor/test_compiled_optimizers 2/3 ... [2025-12-04 09:35:36.000795][2582.419592004], took 0.14min 2025-12-04T09:35:36.0186489Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compiled_optimizers/inductor.test_compiled_optimizers-944912b5b0f3e6c0.xml 2025-12-04T09:35:39.5496257Z Running inductor/test_fxir_backend 1/1 ... [2025-12-04 09:35:39.549188][2585.967984845] 2025-12-04T09:35:39.5496788Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:35:39.5499368Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fxir_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:39.549589] 2025-12-04T09:35:42.6407384Z 2025-12-04T09:35:42.6408306Z inductor/test_control_flow 2/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_flow_2.5_d07e3ec1dc4b8fff_.log 2025-12-04T09:35:42.6409077Z Running 0 items in this shard: 2025-12-04T09:35:42.6409257Z 2025-12-04T09:35:42.6409537Z Finished inductor/test_control_flow 2/5 ... [2025-12-04 09:35:42.640562][2589.059362542], took 0.12min 2025-12-04T09:35:42.6589675Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_control_flow/inductor.test_control_flow-6757639533879ddf.xml 2025-12-04T09:35:45.7812611Z 2025-12-04T09:35:45.7813634Z inductor/test_fxir_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fxir_backend_1.1_5c984f47e0562e5e_.log 2025-12-04T09:35:45.7814434Z Running 0 items in this shard: 2025-12-04T09:35:45.7814623Z 2025-12-04T09:35:45.7814911Z Finished inductor/test_fxir_backend 1/1 ... [2025-12-04 09:35:45.781126][2592.199926209], took 0.10min 2025-12-04T09:35:45.7995084Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_fxir_backend/inductor.test_fxir_backend-74d5619364c1dee4.xml 2025-12-04T09:35:46.2647444Z Running dynamo/test_cudagraphs_expandable_segments 1/1 ... [2025-12-04 09:35:46.264279][2592.683077355] 2025-12-04T09:35:46.2648105Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:35:46.2650098Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_cudagraphs_expandable_segments.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:46.264693] 2025-12-04T09:35:49.3926435Z Running inductor/test_caching 1/1 ... [2025-12-04 09:35:49.392145][2595.810941269] 2025-12-04T09:35:49.3927002Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:35:49.3928769Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_caching.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:49.392573] 2025-12-04T09:35:50.0936088Z 2025-12-04T09:35:50.0937339Z dynamo/test_cudagraphs_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_expandable_segments_1.1_cda2d8b16efab4d6_.log 2025-12-04T09:35:50.0938377Z Running 0 items in this shard: 2025-12-04T09:35:50.0938521Z 2025-12-04T09:35:50.0939044Z Finished dynamo/test_cudagraphs_expandable_segments 1/1 ... [2025-12-04 09:35:50.093545][2596.51234433], took 0.06min 2025-12-04T09:35:50.1138337Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_cudagraphs_expandable_segments/dynamo.test_cudagraphs_expandable_segments-9a5d7b2df72c9121.xml 2025-12-04T09:35:52.9523267Z 2025-12-04T09:35:52.9524397Z inductor/test_caching 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_caching_1.1_371ac2c1adc40c3b_.log 2025-12-04T09:35:52.9525561Z Running 0 items in this shard: 2025-12-04T09:35:52.9525876Z 2025-12-04T09:35:52.9526314Z Finished inductor/test_caching 1/1 ... [2025-12-04 09:35:52.952190][2599.370991191], took 0.06min 2025-12-04T09:35:52.9715664Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_caching/inductor.test_caching-89034c331a6edc0c.xml 2025-12-04T09:35:53.7209008Z Running dynamo/test_aot_autograd_cache 1/1 ... [2025-12-04 09:35:53.720382][2600.139179488] 2025-12-04T09:35:53.7209693Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:35:53.7211362Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_aot_autograd_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 09:35:53.720797] 2025-12-04T09:35:56.5254579Z Running dynamo/test_flat_apply 1/1 ... [2025-12-04 09:35:56.524977][2602.943774283] 2025-12-04T09:35:56.5255074Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:35:56.5257219Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_flat_apply.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:35:56.525412] 2025-12-04T09:35:59.9773858Z 2025-12-04T09:35:59.9774859Z dynamo/test_aot_autograd_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_cache_1.1_40d93ddadb4e0c48_.log 2025-12-04T09:35:59.9775539Z Running 0 items in this shard: 2025-12-04T09:35:59.9775689Z 2025-12-04T09:35:59.9775923Z Finished dynamo/test_aot_autograd_cache 1/1 ... [2025-12-04 09:35:59.977220][2606.396016539], took 0.10min 2025-12-04T09:35:59.9960575Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_aot_autograd_cache/dynamo.test_aot_autograd_cache-df940f393a355cd2.xml 2025-12-04T09:36:00.0674382Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_flat_apply/dynamo.test_flat_apply-a0b25910d0b2579b.xml 2025-12-04T09:36:00.0932554Z 2025-12-04T09:36:00.0933413Z dynamo/test_flat_apply 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_flat_apply_1.1_9d7755ee6e05ce55_.log 2025-12-04T09:36:00.0934329Z Running 0 items in this shard: 2025-12-04T09:36:00.0934505Z 2025-12-04T09:36:00.0934893Z Finished dynamo/test_flat_apply 1/1 ... [2025-12-04 09:36:00.093274][2606.512071664], took 0.06min 2025-12-04T09:36:03.5900867Z Running dynamo/test_input_attr_tracking 1/1 ... [2025-12-04 09:36:03.589636][2610.008433604] 2025-12-04T09:36:03.5901396Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:36:03.5903995Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_input_attr_tracking.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:03.590082] 2025-12-04T09:36:03.7580233Z Running dynamo/test_compiler_bisector 1/1 ... [2025-12-04 09:36:03.757584][2610.176381469] 2025-12-04T09:36:03.7580740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:36:03.7583467Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_compiler_bisector.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:03.758005] 2025-12-04T09:36:07.1255418Z 2025-12-04T09:36:07.1256526Z dynamo/test_input_attr_tracking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_input_attr_tracking_1.1_18a8e3c3e8a494f7_.log 2025-12-04T09:36:07.1257327Z Running 0 items in this shard: 2025-12-04T09:36:07.1257507Z 2025-12-04T09:36:07.1257963Z Finished dynamo/test_input_attr_tracking 1/1 ... [2025-12-04 09:36:07.125379][2613.544176732], took 0.06min 2025-12-04T09:36:07.1590684Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_input_attr_tracking/dynamo.test_input_attr_tracking-690d9ae0c280aa60.xml 2025-12-04T09:36:10.6743011Z Running dynamo/test_graph_deduplication 1/1 ... [2025-12-04 09:36:10.673876][2617.092673234] 2025-12-04T09:36:10.6743560Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:36:10.6746529Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_graph_deduplication.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:10.674324] 2025-12-04T09:36:14.1506248Z 2025-12-04T09:36:14.1507200Z dynamo/test_graph_deduplication 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_deduplication_1.1_4ec115743aceb78c_.log 2025-12-04T09:36:14.1507876Z Running 0 items in this shard: 2025-12-04T09:36:14.1508026Z 2025-12-04T09:36:14.1508296Z Finished dynamo/test_graph_deduplication 1/1 ... [2025-12-04 09:36:14.150490][2620.569289457], took 0.06min 2025-12-04T09:36:14.1715293Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_graph_deduplication/dynamo.test_graph_deduplication-770e2e3584a57f37.xml 2025-12-04T09:36:17.7765104Z Running dynamo/test_structured_trace 1/1 ... [2025-12-04 09:36:17.776049][2624.194846269] 2025-12-04T09:36:17.7765740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:36:17.7767521Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_structured_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 09:36:17.776446] 2025-12-04T09:36:23.8019403Z 2025-12-04T09:36:23.8020311Z dynamo/test_structured_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_structured_trace_1.1_3e6ed1e517edb1ec_.log 2025-12-04T09:36:23.8021120Z Running 0 items in this shard: 2025-12-04T09:36:23.8021313Z 2025-12-04T09:36:23.8021609Z Finished dynamo/test_structured_trace 1/1 ... [2025-12-04 09:36:23.801779][2630.220577051], took 0.10min 2025-12-04T09:36:23.8237419Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_structured_trace/dynamo.test_structured_trace-10a080e66ec7c520.xml 2025-12-04T09:36:27.4317946Z Running dynamo/test_error_messages 1/1 ... [2025-12-04 09:36:27.431281][2633.850078306] 2025-12-04T09:36:27.4318457Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:36:27.4320184Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_error_messages.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:27.431721] 2025-12-04T09:36:31.0646016Z 2025-12-04T09:36:31.0648204Z dynamo/test_error_messages 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_error_messages_1.1_b7137655ad9aacc8_.log 2025-12-04T09:36:31.0648957Z Running 0 items in this shard: 2025-12-04T09:36:31.0649283Z 2025-12-04T09:36:31.0649583Z Finished dynamo/test_error_messages 1/1 ... [2025-12-04 09:36:31.064485][2637.483285437], took 0.06min 2025-12-04T09:36:31.0857441Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_error_messages/dynamo.test_error_messages-15f1f0ffffb4ead1.xml 2025-12-04T09:36:34.6729602Z Running dynamo/test_bytecode_utils 1/1 ... [2025-12-04 09:36:34.672562][2641.091358725] 2025-12-04T09:36:34.6730123Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:36:34.6733128Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_bytecode_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:34.672967] 2025-12-04T09:36:38.2121723Z 2025-12-04T09:36:38.2122668Z dynamo/test_bytecode_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_bytecode_utils_1.1_85f3ae86d9624c49_.log 2025-12-04T09:36:38.2123295Z Running 0 items in this shard: 2025-12-04T09:36:38.2123442Z 2025-12-04T09:36:38.2123657Z Finished dynamo/test_bytecode_utils 1/1 ... [2025-12-04 09:36:38.212006][2644.630804971], took 0.06min 2025-12-04T09:36:38.2322687Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_bytecode_utils/dynamo.test_bytecode_utils-d79092478ee7a085.xml 2025-12-04T09:36:41.8363627Z Running export/test_nativert 1/1 ... [2025-12-04 09:36:41.835915][2648.254712293] 2025-12-04T09:36:41.8364258Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:36:41.8366433Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_nativert.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:41.836301] 2025-12-04T09:36:48.0440951Z 2025-12-04T09:36:48.0441899Z export/test_nativert 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_nativert_1.1_9d33f57a100f6ef9_.log 2025-12-04T09:36:48.0442692Z Running 0 items in this shard: 2025-12-04T09:36:48.0442873Z 2025-12-04T09:36:48.0443148Z Finished export/test_nativert 1/1 ... [2025-12-04 09:36:48.043987][2654.462783817], took 0.10min 2025-12-04T09:36:48.0647549Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_nativert/export.test_nativert-e3ffb60adb0c75f9.xml 2025-12-04T09:36:51.6779386Z Running inductor/test_custom_op_autotune 1/1 ... [2025-12-04 09:36:51.677456][2658.09625344] 2025-12-04T09:36:51.6780170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:36:51.6782834Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_custom_op_autotune.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:36:51.677921] 2025-12-04T09:36:57.7389221Z 2025-12-04T09:36:57.7390187Z inductor/test_custom_op_autotune 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_op_autotune_1.1_c4bb31d88b93833a_.log 2025-12-04T09:36:57.7391011Z Running 0 items in this shard: 2025-12-04T09:36:57.7391200Z 2025-12-04T09:36:57.7391508Z Finished inductor/test_custom_op_autotune 1/1 ... [2025-12-04 09:36:57.738817][2664.157617233], took 0.10min 2025-12-04T09:36:57.7599048Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_custom_op_autotune/inductor.test_custom_op_autotune-a00a900560711bae.xml 2025-12-04T09:37:01.2876642Z Running export/test_hop 1/1 ... [2025-12-04 09:37:01.287227][2667.706025071] 2025-12-04T09:37:01.2877587Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:37:01.2879188Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_hop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:01.287631] 2025-12-04T09:37:05.7510007Z 2025-12-04T09:37:05.7511153Z export/test_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_hop_1.1_0e6c4b03a1f398cb_.log 2025-12-04T09:37:05.7511951Z Running 0 items in this shard: 2025-12-04T09:37:05.7512447Z 2025-12-04T09:37:05.7513032Z Finished export/test_hop 1/1 ... [2025-12-04 09:37:05.750843][2672.169643033], took 0.07min 2025-12-04T09:37:05.7720195Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_hop/export.test_hop-839c63ec901c1b6e.xml 2025-12-04T09:37:09.3590425Z Running dynamo/test_tree_map 1/1 ... [2025-12-04 09:37:09.358597][2675.777394148] 2025-12-04T09:37:09.3590922Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:37:09.3593205Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_tree_map.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:09.359023] 2025-12-04T09:37:12.6008039Z 2025-12-04T09:37:12.6009036Z dynamo/test_tree_map 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_tree_map_1.1_61b472301894fcba_.log 2025-12-04T09:37:12.6009775Z Running 0 items in this shard: 2025-12-04T09:37:12.6010003Z 2025-12-04T09:37:12.6010269Z Finished dynamo/test_tree_map 1/1 ... [2025-12-04 09:37:12.600696][2679.019495523], took 0.05min 2025-12-04T09:37:12.6218854Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_tree_map/dynamo.test_tree_map-6c72c9363c621a99.xml 2025-12-04T09:37:16.2223414Z Running dynamo/test_minifier 1/1 ... [2025-12-04 09:37:16.221859][2682.640655576] 2025-12-04T09:37:16.2224156Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:37:16.2225575Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_minifier.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:16.222270] 2025-12-04T09:37:19.7646061Z 2025-12-04T09:37:19.7646919Z dynamo/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_minifier_1.1_c3a83a3abb10b695_.log 2025-12-04T09:37:19.7647543Z Running 0 items in this shard: 2025-12-04T09:37:19.7647683Z 2025-12-04T09:37:19.7647898Z Finished dynamo/test_minifier 1/1 ... [2025-12-04 09:37:19.764439][2686.183235746], took 0.06min 2025-12-04T09:37:19.7863159Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_minifier/dynamo.test_minifier-2607c9f619f47b1c.xml 2025-12-04T09:37:23.3971005Z Running dynamo/test_guard_manager 1/1 ... [2025-12-04 09:37:23.396598][2689.815395411] 2025-12-04T09:37:23.3971756Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:37:23.3974827Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_guard_manager.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:23.397055] 2025-12-04T09:37:26.6549151Z 2025-12-04T09:37:26.6551003Z dynamo/test_guard_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_manager_1.1_8f5398d95e1694f7_.log 2025-12-04T09:37:26.6552058Z Running 0 items in this shard: 2025-12-04T09:37:26.6552250Z 2025-12-04T09:37:26.6552541Z Finished dynamo/test_guard_manager 1/1 ... [2025-12-04 09:37:26.654726][2693.073525868], took 0.05min 2025-12-04T09:37:26.6764100Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_guard_manager/dynamo.test_guard_manager-b46a1fd173f043ee.xml 2025-12-04T09:37:30.2966546Z Running export/test_schema 1/1 ... [2025-12-04 09:37:30.296171][2696.714968808] 2025-12-04T09:37:30.2967133Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:37:30.2969187Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_schema.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:30.296593] 2025-12-04T09:37:33.6070783Z 2025-12-04T09:37:33.6071762Z export/test_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_schema_1.1_3748cc2e5d33d687_.log 2025-12-04T09:37:33.6072691Z Running 0 items in this shard: 2025-12-04T09:37:33.6072941Z 2025-12-04T09:37:33.6073269Z Finished export/test_schema 1/1 ... [2025-12-04 09:37:33.606886][2700.025685581], took 0.06min 2025-12-04T09:37:33.6402221Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_schema/export.test_schema-1707e0f471b4afd2.xml 2025-12-04T09:37:37.2342508Z Running export/test_pass_infra 1/1 ... [2025-12-04 09:37:37.233753][2703.652550561] 2025-12-04T09:37:37.2343015Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:37:37.2344899Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_pass_infra.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:37.234177] 2025-12-04T09:37:40.4879968Z 2025-12-04T09:37:40.4881201Z export/test_pass_infra 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_pass_infra_1.1_d8a956c341635177_.log 2025-12-04T09:37:40.4881825Z Running 0 items in this shard: 2025-12-04T09:37:40.4881972Z 2025-12-04T09:37:40.4882189Z Finished export/test_pass_infra 1/1 ... [2025-12-04 09:37:40.487868][2706.906668029], took 0.05min 2025-12-04T09:37:40.5202316Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_pass_infra/export.test_pass_infra-bda672c1c5c38e79.xml 2025-12-04T09:37:44.1276601Z Running dynamo/test_recompile_ux 1/1 ... [2025-12-04 09:37:44.127172][2710.545969827] 2025-12-04T09:37:44.1277250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:37:44.1278912Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_recompile_ux.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:44.127586] 2025-12-04T09:37:47.7544799Z 2025-12-04T09:37:47.7545947Z dynamo/test_recompile_ux 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompile_ux_1.1_63a13b3f720cded6_.log 2025-12-04T09:37:47.7546848Z Running 0 items in this shard: 2025-12-04T09:37:47.7547080Z 2025-12-04T09:37:47.7547416Z Finished dynamo/test_recompile_ux 1/1 ... [2025-12-04 09:37:47.754365][2714.173162593], took 0.06min 2025-12-04T09:37:47.7822370Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_recompile_ux/dynamo.test_recompile_ux-33aa2bbeed2a00c6.xml 2025-12-04T09:37:51.3746997Z Running export/test_experimental 1/1 ... [2025-12-04 09:37:51.374255][2717.793052074] 2025-12-04T09:37:51.3747505Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:37:51.3749327Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_experimental.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:51.374626] 2025-12-04T09:37:55.0156788Z 2025-12-04T09:37:55.0157763Z export/test_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_experimental_1.1_b26b6bac01187834_.log 2025-12-04T09:37:55.0158949Z Running 0 items in this shard: 2025-12-04T09:37:55.0159244Z 2025-12-04T09:37:55.0159703Z Finished export/test_experimental 1/1 ... [2025-12-04 09:37:55.015541][2721.434340676], took 0.06min 2025-12-04T09:37:55.0384445Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_experimental/export.test_experimental-95b145ac912fb9a3.xml 2025-12-04T09:37:58.7072269Z Running export/test_converter 1/1 ... [2025-12-04 09:37:58.706755][2725.125553179] 2025-12-04T09:37:58.7072784Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:37:58.7074489Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_converter.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:37:58.707143] 2025-12-04T09:38:02.3778426Z 2025-12-04T09:38:02.3779354Z export/test_converter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_converter_1.1_e8c887832521cdc5_.log 2025-12-04T09:38:02.3780091Z Running 0 items in this shard: 2025-12-04T09:38:02.3780302Z 2025-12-04T09:38:02.3780576Z Finished export/test_converter 1/1 ... [2025-12-04 09:38:02.377685][2728.796484132], took 0.06min 2025-12-04T09:38:02.4005568Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_converter/export.test_converter-531449e6cce38268.xml 2025-12-04T09:38:05.2463639Z 2025-12-04T09:38:05.2464756Z dynamo/test_compiler_bisector 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compiler_bisector_1.1_4a1548346f08bce0_.log 2025-12-04T09:38:05.2486616Z Running 100 items in this shard: test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_pre_grad, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng 2025-12-04T09:38:05.2507524Z 2025-12-04T09:38:05.2507766Z Finished dynamo/test_compiler_bisector 1/1 ... [2025-12-04 09:38:05.246313][2731.665111938], took 2.02min 2025-12-04T09:38:05.2773157Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_compiler_bisector/dynamo.test_compiler_bisector-bb5cd5b155bf02ca.xml 2025-12-04T09:38:06.0057137Z Running export/test_export 1/1 ... [2025-12-04 09:38:06.005190][2732.423987962] 2025-12-04T09:38:06.0057792Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:38:06.0059550Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_export.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:06.005585] 2025-12-04T09:38:08.8189274Z Running test_model_exports_to_core_aten 1/1 ... [2025-12-04 09:38:08.818461][2735.237257993] 2025-12-04T09:38:08.8189813Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:38:08.8192827Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_model_exports_to_core_aten.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:08.818924] 2025-12-04T09:38:13.0630881Z 2025-12-04T09:38:13.0631946Z export/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_1.1_4e6eb0eb64cefc49_.log 2025-12-04T09:38:13.0632685Z Running 0 items in this shard: 2025-12-04T09:38:13.0632860Z 2025-12-04T09:38:13.0633114Z Finished export/test_export 1/1 ... [2025-12-04 09:38:13.062974][2739.481773831], took 0.12min 2025-12-04T09:38:13.0857604Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_export/export.test_export-b35fd1ad4d01e5ea.xml 2025-12-04T09:38:16.8077039Z Running dynamo/test_precompile_context 1/1 ... [2025-12-04 09:38:16.807189][2743.225985077] 2025-12-04T09:38:16.8077749Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:38:16.8079893Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_precompile_context.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:16.807643] 2025-12-04T09:38:23.0173605Z 2025-12-04T09:38:23.0174924Z dynamo/test_precompile_context 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_precompile_context_1.1_5c398aaa536cea93_.log 2025-12-04T09:38:23.0176107Z Running 0 items in this shard: 2025-12-04T09:38:23.0176351Z 2025-12-04T09:38:23.0176761Z Finished dynamo/test_precompile_context 1/1 ... [2025-12-04 09:38:23.017206][2749.436004433], took 0.10min 2025-12-04T09:38:23.0570304Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_precompile_context/dynamo.test_precompile_context-75d453f4c9b4679d.xml 2025-12-04T09:38:26.7058769Z Running dynamo/test_trace_rules 1/1 ... [2025-12-04 09:38:26.705347][2753.124144761] 2025-12-04T09:38:26.7059465Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:38:26.7061390Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_trace_rules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:26.705745] 2025-12-04T09:38:29.9687850Z 2025-12-04T09:38:29.9689356Z dynamo/test_trace_rules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_trace_rules_1.1_a6ae5d8800ca20a4_.log 2025-12-04T09:38:29.9701413Z Running 50 items in this shard: test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated, test/dynamo/test_trace_rules.py::TraceRuleTests::test_torch_name_rule_map_updated 2025-12-04T09:38:29.9712872Z 2025-12-04T09:38:29.9713094Z Finished dynamo/test_trace_rules 1/1 ... [2025-12-04 09:38:29.968841][2756.387639165], took 0.05min 2025-12-04T09:38:29.9922997Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_trace_rules/dynamo.test_trace_rules-6ad910389deb8228.xml 2025-12-04T09:38:33.6289812Z Running export/test_upgrader 1/1 ... [2025-12-04 09:38:33.628485][2760.047281255] 2025-12-04T09:38:33.6290284Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:38:33.6292144Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_upgrader.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:33.628915] 2025-12-04T09:38:36.9341054Z 2025-12-04T09:38:36.9341923Z export/test_upgrader 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_upgrader_1.1_588d32264c115ec5_.log 2025-12-04T09:38:36.9342648Z Running 0 items in this shard: 2025-12-04T09:38:36.9342877Z 2025-12-04T09:38:36.9343147Z Finished export/test_upgrader 1/1 ... [2025-12-04 09:38:36.934002][2763.352801959], took 0.06min 2025-12-04T09:38:36.9840948Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_upgrader/export.test_upgrader-1f5f201b5730ae33.xml 2025-12-04T09:38:40.7136262Z Running dynamo/test_hooks 1/1 ... [2025-12-04 09:38:40.713151][2767.131948443] 2025-12-04T09:38:40.7136721Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:38:40.7138351Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_hooks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:40.713536] 2025-12-04T09:38:44.2444712Z 2025-12-04T09:38:44.2445571Z dynamo/test_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_hooks_1.1_08273da55fda9b01_.log 2025-12-04T09:38:44.2446616Z Running 0 items in this shard: 2025-12-04T09:38:44.2446801Z 2025-12-04T09:38:44.2447138Z Finished dynamo/test_hooks 1/1 ... [2025-12-04 09:38:44.244354][2770.66315284], took 0.06min 2025-12-04T09:38:44.2688121Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_hooks/dynamo.test_hooks-3659cbf76ff117be.xml 2025-12-04T09:38:47.9591461Z Running dynamo/test_reorder_logs 1/1 ... [2025-12-04 09:38:47.958656][2774.377453767] 2025-12-04T09:38:47.9592155Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:38:47.9594474Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_reorder_logs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:47.959106] 2025-12-04T09:38:51.5305603Z 2025-12-04T09:38:51.5306852Z dynamo/test_reorder_logs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_reorder_logs_1.1_8ddaaf84f7585627_.log 2025-12-04T09:38:51.5307622Z Running 0 items in this shard: 2025-12-04T09:38:51.5307804Z 2025-12-04T09:38:51.5308082Z Finished dynamo/test_reorder_logs 1/1 ... [2025-12-04 09:38:51.530381][2777.949181391], took 0.06min 2025-12-04T09:38:51.5735862Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_reorder_logs/dynamo.test_reorder_logs-ae308581a5a8c5cc.xml 2025-12-04T09:38:55.3190085Z Running dynamo/test_subclasses 1/1 ... [2025-12-04 09:38:55.318509][2781.737305903] 2025-12-04T09:38:55.3190623Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:38:55.3192831Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_subclasses.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:38:55.318979] 2025-12-04T09:39:01.7134316Z 2025-12-04T09:39:01.7135403Z dynamo/test_subclasses 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subclasses_1.1_1708907d5458054c_.log 2025-12-04T09:39:01.7136184Z Running 0 items in this shard: 2025-12-04T09:39:01.7136377Z 2025-12-04T09:39:01.7136652Z Finished dynamo/test_subclasses 1/1 ... [2025-12-04 09:39:01.713348][2788.132146701], took 0.11min 2025-12-04T09:39:01.7384508Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_subclasses/dynamo.test_subclasses-3c0da3f5b9931ec2.xml 2025-12-04T09:39:05.4010134Z Running dynamo/test_generator 1/1 ... [2025-12-04 09:39:05.400561][2791.819358489] 2025-12-04T09:39:05.4010784Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:05.4013043Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_generator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:05.400953] 2025-12-04T09:39:09.1443335Z 2025-12-04T09:39:09.1444150Z dynamo/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_generator_1.1_f2149270c1864573_.log 2025-12-04T09:39:09.1444942Z Running 0 items in this shard: 2025-12-04T09:39:09.1445092Z 2025-12-04T09:39:09.1445303Z Finished dynamo/test_generator 1/1 ... [2025-12-04 09:39:09.144212][2795.563012969], took 0.06min 2025-12-04T09:39:09.1695276Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_generator/dynamo.test_generator-8b3e93c108213bdb.xml 2025-12-04T09:39:12.9161154Z Running export/test_lift_unlift 1/1 ... [2025-12-04 09:39:12.915603][2799.334399567] 2025-12-04T09:39:12.9162313Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:12.9164304Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_lift_unlift.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:12.916076] 2025-12-04T09:39:16.3292706Z 2025-12-04T09:39:16.3293687Z export/test_lift_unlift 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_lift_unlift_1.1_3278652734c792ad_.log 2025-12-04T09:39:16.3294424Z Running 0 items in this shard: 2025-12-04T09:39:16.3294600Z 2025-12-04T09:39:16.3295047Z Finished export/test_lift_unlift 1/1 ... [2025-12-04 09:39:16.329113][2802.747912568], took 0.06min 2025-12-04T09:39:16.3672368Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_lift_unlift/export.test_lift_unlift-da07aec32502803d.xml 2025-12-04T09:39:20.0020061Z Running dynamo/test_decorators 1/1 ... [2025-12-04 09:39:20.001517][2806.420314923] 2025-12-04T09:39:20.0020655Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:20.0022530Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_decorators.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:20.001924] 2025-12-04T09:39:37.3670646Z 2025-12-04T09:39:37.3679809Z PRINTING LOG FILE of dynamo/test_decorators 1/1 (test/test-reports/dynamo.test_decorators_1.1_ba5f7c318397297f_.log) 2025-12-04T09:39:37.3681131Z Test results will be stored in test-reports/python-pytest/dynamo.test_decorators/dynamo.test_decorators-302ccf81f6499204.xml 2025-12-04T09:39:37.3681966Z ============================= test session starts ============================== 2025-12-04T09:39:37.3682765Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T09:39:37.3683381Z cachedir: .pytest_cache 2025-12-04T09:39:37.3684104Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T09:39:37.3684962Z rootdir: /var/lib/jenkins/workspace 2025-12-04T09:39:37.3685346Z configfile: pytest.ini 2025-12-04T09:39:37.3686084Z 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 2025-12-04T09:39:37.3686891Z collecting ... collected 73 items 2025-12-04T09:39:37.3687396Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T09:39:37.3730021Z Running 100 items in this shard: test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.3777810Z 2025-12-04T09:39:37.3778355Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile PASSED [0.3919s] [ 1%] 2025-12-04T09:39:37.3779599Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break PASSED [0.1931s] [ 2%] 2025-12-04T09:39:37.3780750Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.1125s] [ 2%] 2025-12-04T09:39:37.3781748Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0763s] [ 2%] 2025-12-04T09:39:37.3782748Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0750s] [ 2%] 2025-12-04T09:39:37.3783741Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0734s] [ 2%] 2025-12-04T09:39:37.3784725Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0726s] [ 2%] 2025-12-04T09:39:37.3785716Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0729s] [ 2%] 2025-12-04T09:39:37.3786761Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0728s] [ 2%] 2025-12-04T09:39:37.3787714Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0782s] [ 2%] 2025-12-04T09:39:37.3788663Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0935s] [ 2%] 2025-12-04T09:39:37.3789645Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0797s] [ 2%] 2025-12-04T09:39:37.3790599Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0844s] [ 2%] 2025-12-04T09:39:37.3791523Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0811s] [ 2%] 2025-12-04T09:39:37.3792460Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0832s] [ 2%] 2025-12-04T09:39:37.3793392Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0868s] [ 2%] 2025-12-04T09:39:37.3794332Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0846s] [ 2%] 2025-12-04T09:39:37.3795291Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0833s] [ 2%] 2025-12-04T09:39:37.3796224Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0818s] [ 2%] 2025-12-04T09:39:37.3797158Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0818s] [ 2%] 2025-12-04T09:39:37.3798032Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0732s] [ 2%] 2025-12-04T09:39:37.3798714Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0729s] [ 2%] 2025-12-04T09:39:37.3799688Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0722s] [ 2%] 2025-12-04T09:39:37.3800584Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0709s] [ 2%] 2025-12-04T09:39:37.3801561Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0701s] [ 2%] 2025-12-04T09:39:37.3802551Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0722s] [ 2%] 2025-12-04T09:39:37.3803501Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0770s] [ 2%] 2025-12-04T09:39:37.3804304Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0785s] [ 2%] 2025-12-04T09:39:37.3805332Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0791s] [ 2%] 2025-12-04T09:39:37.3806229Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0740s] [ 2%] 2025-12-04T09:39:37.3807174Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0738s] [ 2%] 2025-12-04T09:39:37.3807933Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0707s] [ 2%] 2025-12-04T09:39:37.3808944Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0725s] [ 2%] 2025-12-04T09:39:37.3809965Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0748s] [ 2%] 2025-12-04T09:39:37.3810951Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0739s] [ 2%] 2025-12-04T09:39:37.3811790Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0737s] [ 2%] 2025-12-04T09:39:37.3813270Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0988s] [ 2%] 2025-12-04T09:39:37.3814074Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0843s] [ 2%] 2025-12-04T09:39:37.3814974Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0762s] [ 2%] 2025-12-04T09:39:37.3816016Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0753s] [ 2%] 2025-12-04T09:39:37.3817138Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.2335s] [ 2%] 2025-12-04T09:39:37.3818249Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0790s] [ 2%] 2025-12-04T09:39:37.3819183Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0992s] [ 2%] 2025-12-04T09:39:37.3820137Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0782s] [ 2%] 2025-12-04T09:39:37.3821119Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0844s] [ 2%] 2025-12-04T09:39:37.3821822Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0824s] [ 2%] 2025-12-04T09:39:37.3822768Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0823s] [ 2%] 2025-12-04T09:39:37.3823537Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0812s] [ 2%] 2025-12-04T09:39:37.3824538Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0809s] [ 2%] 2025-12-04T09:39:37.3825448Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0826s] [ 2%] 2025-12-04T09:39:37.3826372Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile FAILED [0.0821s] [ 2%] 2025-12-04T09:39:37.3827308Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1711s] [ 2%] 2025-12-04T09:39:37.3828457Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1531s] [ 2%] 2025-12-04T09:39:37.3829557Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1522s] [ 2%] 2025-12-04T09:39:37.3830653Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1528s] [ 2%] 2025-12-04T09:39:37.3831740Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1527s] [ 2%] 2025-12-04T09:39:37.3832831Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1518s] [ 2%] 2025-12-04T09:39:37.3833910Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1519s] [ 2%] 2025-12-04T09:39:37.3835003Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1565s] [ 2%] 2025-12-04T09:39:37.3836082Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1788s] [ 2%] 2025-12-04T09:39:37.3837235Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1625s] [ 2%] 2025-12-04T09:39:37.3838418Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1592s] [ 2%] 2025-12-04T09:39:37.3839850Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1686s] [ 2%] 2025-12-04T09:39:37.3841123Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1817s] [ 2%] 2025-12-04T09:39:37.3842286Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1716s] [ 2%] 2025-12-04T09:39:37.3843430Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1610s] [ 2%] 2025-12-04T09:39:37.3844559Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1676s] [ 2%] 2025-12-04T09:39:37.3845560Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1735s] [ 2%] 2025-12-04T09:39:37.3846767Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.3524s] [ 2%] 2025-12-04T09:39:37.3847970Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1692s] [ 2%] 2025-12-04T09:39:37.3848957Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1519s] [ 2%] 2025-12-04T09:39:37.3849582Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1503s] [ 2%] 2025-12-04T09:39:37.3850456Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1519s] [ 2%] 2025-12-04T09:39:37.3851074Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1550s] [ 2%] 2025-12-04T09:39:37.3851831Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1532s] [ 2%] 2025-12-04T09:39:37.3852925Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1531s] [ 2%] 2025-12-04T09:39:37.3853630Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1577s] [ 2%] 2025-12-04T09:39:37.3854249Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1713s] [ 2%] 2025-12-04T09:39:37.3854873Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1651s] [ 2%] 2025-12-04T09:39:37.3855488Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1523s] [ 2%] 2025-12-04T09:39:37.3856105Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1509s] [ 2%] 2025-12-04T09:39:37.3856718Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1804s] [ 2%] 2025-12-04T09:39:37.3857338Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1744s] [ 2%] 2025-12-04T09:39:37.3857960Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1742s] [ 2%] 2025-12-04T09:39:37.3858720Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1738s] [ 2%] 2025-12-04T09:39:37.3859333Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1706s] [ 2%] 2025-12-04T09:39:37.3859951Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1620s] [ 2%] 2025-12-04T09:39:37.3860573Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1565s] [ 2%] 2025-12-04T09:39:37.3861203Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1626s] [ 2%] 2025-12-04T09:39:37.3861827Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1561s] [ 2%] 2025-12-04T09:39:37.3862559Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1497s] [ 2%] 2025-12-04T09:39:37.3863215Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1538s] [ 2%] 2025-12-04T09:39:37.3863836Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1545s] [ 2%] 2025-12-04T09:39:37.3864447Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.3662s] [ 2%] 2025-12-04T09:39:37.3865066Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1620s] [ 2%] 2025-12-04T09:39:37.3865683Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1595s] [ 2%] 2025-12-04T09:39:37.3866349Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1873s] [ 2%] 2025-12-04T09:39:37.3866985Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1743s] [ 2%] 2025-12-04T09:39:37.3867605Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1714s] [ 2%] 2025-12-04T09:39:37.3868221Z dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break FAILED [0.1708s] [ 2%] 2025-12-04T09:39:37.3868567Z 2025-12-04T09:39:37.3868672Z =================================== FAILURES =================================== 2025-12-04T09:39:37.3869029Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.3869344Z Traceback (most recent call last): 2025-12-04T09:39:37.3869792Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.3870249Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.3870694Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.3871151Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.3871654Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.3872171Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.3872458Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.3872617Z 2025-12-04T09:39:37.3872686Z Expected 1 but got 2. 2025-12-04T09:39:37.3872865Z Absolute difference: 1 2025-12-04T09:39:37.3873044Z Relative difference: 1.0 2025-12-04T09:39:37.3873177Z 2025-12-04T09:39:37.3873312Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.3873738Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.3874029Z 2025-12-04T09:39:37.3874200Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.3874576Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3874862Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.3875098Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.3875395Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3875689Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3875913Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3876235Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.3876551Z Traceback (most recent call last): 2025-12-04T09:39:37.3876986Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.3877443Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.3877936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.3878427Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.3878946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.3879470Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.3879756Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.3879914Z 2025-12-04T09:39:37.3879984Z Expected 1 but got 2. 2025-12-04T09:39:37.3880170Z Absolute difference: 1 2025-12-04T09:39:37.3880344Z Relative difference: 1.0 2025-12-04T09:39:37.3880469Z 2025-12-04T09:39:37.3880598Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.3881018Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.3881304Z 2025-12-04T09:39:37.3881523Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.3881896Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3882192Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.3882433Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.3882730Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3883009Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3883242Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3883529Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3883800Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3884017Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3884335Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.3884639Z Traceback (most recent call last): 2025-12-04T09:39:37.3885076Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.3885529Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.3885964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.3886406Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.3886888Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.3887394Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.3887665Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.3887820Z 2025-12-04T09:39:37.3887887Z Expected 1 but got 2. 2025-12-04T09:39:37.3888064Z Absolute difference: 1 2025-12-04T09:39:37.3888237Z Relative difference: 1.0 2025-12-04T09:39:37.3888359Z 2025-12-04T09:39:37.3888487Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.3888921Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.3889206Z 2025-12-04T09:39:37.3889374Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.3889736Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3890016Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.3890238Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.3890526Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3890799Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3891020Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3891312Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3891578Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3891798Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3892211Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3892477Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3892693Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3893054Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.3893367Z Traceback (most recent call last): 2025-12-04T09:39:37.3893792Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.3894237Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.3894688Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.3895131Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.3895619Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.3896182Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.3896472Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.3896626Z 2025-12-04T09:39:37.3896695Z Expected 1 but got 2. 2025-12-04T09:39:37.3896876Z Absolute difference: 1 2025-12-04T09:39:37.3897062Z Relative difference: 1.0 2025-12-04T09:39:37.3897198Z 2025-12-04T09:39:37.3897339Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.3897761Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.3898053Z 2025-12-04T09:39:37.3898334Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.3898709Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3898989Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.3899232Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.3899540Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3899815Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3900043Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3900345Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3900623Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3900839Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3901142Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3901415Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3901626Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3901912Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3902182Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3902391Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3902730Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.3903042Z Traceback (most recent call last): 2025-12-04T09:39:37.3903474Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.3903915Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.3904343Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.3904787Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.3905269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.3905775Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.3906058Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.3906207Z 2025-12-04T09:39:37.3906279Z Expected 1 but got 2. 2025-12-04T09:39:37.3906452Z Absolute difference: 1 2025-12-04T09:39:37.3906735Z Relative difference: 1.0 2025-12-04T09:39:37.3906853Z 2025-12-04T09:39:37.3906987Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.3907429Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.3907721Z 2025-12-04T09:39:37.3907883Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.3908250Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3908528Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.3908746Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.3909043Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3909320Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3909535Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3909870Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3910155Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3910385Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3910677Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3910950Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3911168Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3911450Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3911723Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3911942Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3912626Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3912902Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3913128Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3913450Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.3913771Z Traceback (most recent call last): 2025-12-04T09:39:37.3914221Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.3914679Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.3915099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.3915546Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.3916031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.3916541Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.3916818Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.3916972Z 2025-12-04T09:39:37.3917040Z Expected 1 but got 2. 2025-12-04T09:39:37.3917215Z Absolute difference: 1 2025-12-04T09:39:37.3917390Z Relative difference: 1.0 2025-12-04T09:39:37.3917520Z 2025-12-04T09:39:37.3917648Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.3918062Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.3918349Z 2025-12-04T09:39:37.3918514Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.3918886Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3919164Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.3919392Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.3919684Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3919952Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3921532Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3921828Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3922266Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3922562Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3922864Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3923187Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3923412Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3923713Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3923990Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3924204Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3924493Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3924766Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3924975Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3925268Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3925625Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3925846Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3926172Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.3926493Z Traceback (most recent call last): 2025-12-04T09:39:37.3926938Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.3927393Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.3927823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.3928269Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.3928756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.3929263Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.3929551Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.3929711Z 2025-12-04T09:39:37.3929796Z Expected 1 but got 2. 2025-12-04T09:39:37.3929969Z Absolute difference: 1 2025-12-04T09:39:37.3930155Z Relative difference: 1.0 2025-12-04T09:39:37.3930274Z 2025-12-04T09:39:37.3930413Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.3930824Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.3931116Z 2025-12-04T09:39:37.3931278Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.3931650Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3931929Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.3932146Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.3932442Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3932714Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3932944Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3933238Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3933509Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3933732Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3934018Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3934288Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3934506Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3934791Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3935059Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3935278Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3935569Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3935834Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3936114Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3936443Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3936708Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3936962Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3937254Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3937528Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3937752Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3938076Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.3938524Z Traceback (most recent call last): 2025-12-04T09:39:37.3938948Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.3939394Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.3939870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.3940331Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.3940818Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.3941326Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.3941614Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.3941764Z 2025-12-04T09:39:37.3941830Z Expected 1 but got 2. 2025-12-04T09:39:37.3942011Z Absolute difference: 1 2025-12-04T09:39:37.3942195Z Relative difference: 1.0 2025-12-04T09:39:37.3942312Z 2025-12-04T09:39:37.3942438Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.3942854Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.3943146Z 2025-12-04T09:39:37.3943305Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.3943681Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3943954Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.3944178Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.3944478Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3944749Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3944970Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3945274Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3945552Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3945766Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3946059Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3946330Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3946541Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3946843Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3947112Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3947320Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3947612Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3947880Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3948099Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3948395Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3948677Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3948899Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3949189Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3949461Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3949675Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3950071Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3950350Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3950579Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3950940Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.3951251Z Traceback (most recent call last): 2025-12-04T09:39:37.3951691Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.3952143Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.3952582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.3953032Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.3953517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.3954072Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.3954357Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.3954516Z 2025-12-04T09:39:37.3954584Z Expected 1 but got 2. 2025-12-04T09:39:37.3954764Z Absolute difference: 1 2025-12-04T09:39:37.3954941Z Relative difference: 1.0 2025-12-04T09:39:37.3955063Z 2025-12-04T09:39:37.3955191Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.3955605Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.3955904Z 2025-12-04T09:39:37.3956088Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.3956456Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3956741Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.3956967Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.3957270Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3957573Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3957796Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3958101Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3958373Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3958592Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3958888Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3959157Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3959388Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3959681Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3959945Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3960162Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3960454Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3960742Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3960956Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3961250Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3961522Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3961733Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3962021Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3962294Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3962504Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3962794Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3963083Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3963304Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3963591Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3963948Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3964163Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3964517Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.3964838Z Traceback (most recent call last): 2025-12-04T09:39:37.3965272Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.3965726Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.3966146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.3966590Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.3967076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.3967623Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.3967917Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.3968073Z 2025-12-04T09:39:37.3968141Z Expected 1 but got 2. 2025-12-04T09:39:37.3968321Z Absolute difference: 1 2025-12-04T09:39:37.3968503Z Relative difference: 1.0 2025-12-04T09:39:37.3968626Z 2025-12-04T09:39:37.3968756Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.3969173Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.3969463Z 2025-12-04T09:39:37.3969623Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.3970003Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3970294Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.3970523Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.3970820Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3971109Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3971330Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3971618Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3971905Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3972133Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3972430Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3972702Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3972923Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3973217Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3973485Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3973703Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3973997Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3974271Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3974488Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3974780Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3975066Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3975278Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3975571Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3975841Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3976054Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3979178Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3979495Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3979731Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3980041Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3980332Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3980630Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3980931Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3981247Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3981471Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3981801Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.3982119Z Traceback (most recent call last): 2025-12-04T09:39:37.3982569Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.3983046Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.3983503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.3983969Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.3984508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.3985039Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.3985333Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.3985486Z 2025-12-04T09:39:37.3985561Z Expected 1 but got 2. 2025-12-04T09:39:37.3985736Z Absolute difference: 1 2025-12-04T09:39:37.3985921Z Relative difference: 1.0 2025-12-04T09:39:37.3986038Z 2025-12-04T09:39:37.3986178Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.3986598Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.3986896Z 2025-12-04T09:39:37.3987063Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.3987444Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3987731Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.3987963Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.3988269Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3988545Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3988765Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3989077Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3989351Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3989566Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3989863Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3990141Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3990354Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3990636Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3990906Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3991128Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3991412Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3991680Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3991904Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3992189Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3992463Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3992680Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3992968Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3993329Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3993546Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3993837Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3994102Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3994319Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3994663Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3994931Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3995184Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3995487Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3995757Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3995966Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3996257Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.3996535Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.3996749Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.3997069Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.3997381Z Traceback (most recent call last): 2025-12-04T09:39:37.3997889Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.3998358Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.3998798Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.3999250Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.3999737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4000258Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4000548Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4000700Z 2025-12-04T09:39:37.4000772Z Expected 1 but got 2. 2025-12-04T09:39:37.4000946Z Absolute difference: 1 2025-12-04T09:39:37.4001130Z Relative difference: 1.0 2025-12-04T09:39:37.4001247Z 2025-12-04T09:39:37.4001382Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4001800Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4002097Z 2025-12-04T09:39:37.4002258Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4002629Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4002914Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4003132Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4003428Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4003713Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4003933Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4004231Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4004512Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4004728Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4005018Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4005289Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4005504Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4005790Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4006058Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4006285Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4006570Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4006839Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4007139Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4007426Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4007692Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4007906Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4008249Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4008520Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4008735Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4009066Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4009335Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4009549Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4009835Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4010105Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4010319Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4010608Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4010884Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4011091Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4011505Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4011785Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4012299Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4012689Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4012978Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4013205Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4013529Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4013843Z Traceback (most recent call last): 2025-12-04T09:39:37.4014292Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4014740Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4041334Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4041847Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4042381Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4042956Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4043258Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4043422Z 2025-12-04T09:39:37.4043491Z Expected 1 but got 2. 2025-12-04T09:39:37.4043694Z Absolute difference: 1 2025-12-04T09:39:37.4043889Z Relative difference: 1.0 2025-12-04T09:39:37.4044012Z 2025-12-04T09:39:37.4044152Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4044589Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4044882Z 2025-12-04T09:39:37.4045060Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4045470Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4045778Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4046020Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4046347Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4046630Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4046877Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4047192Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4047458Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4047676Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4048146Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4048419Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4048641Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4048945Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4049296Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4049507Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4049875Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4050160Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4050375Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4050670Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4050946Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4051161Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4051459Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4051727Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4051938Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4052234Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4052588Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4052818Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4053115Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4053386Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4053600Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4053899Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4054163Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4054376Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4054674Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4054941Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4055167Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4055470Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4055745Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4055954Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4056249Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4056534Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4056748Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4057078Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4057399Z Traceback (most recent call last): 2025-12-04T09:39:37.4057845Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4058473Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4058917Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4059379Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4059884Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4060420Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4060714Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4060873Z 2025-12-04T09:39:37.4060950Z Expected 1 but got 2. 2025-12-04T09:39:37.4061131Z Absolute difference: 1 2025-12-04T09:39:37.4061311Z Relative difference: 1.0 2025-12-04T09:39:37.4061428Z 2025-12-04T09:39:37.4061560Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4061978Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4062333Z 2025-12-04T09:39:37.4062497Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4062868Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4063150Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4063456Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4063752Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4064070Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4064291Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4064581Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4064855Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4065069Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4065354Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4065623Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4065844Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4066127Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4066402Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4066675Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4066986Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4067269Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4067482Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4067769Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4068032Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4068242Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4068526Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4068795Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4069005Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4069290Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4069569Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4069787Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4070074Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4070343Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4070554Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4070839Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4071114Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4071326Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4071606Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4071878Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4072090Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4072373Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4072641Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4072859Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4073141Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4073412Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4073641Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4073930Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4074196Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4074410Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4074727Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4075088Z Traceback (most recent call last): 2025-12-04T09:39:37.4075521Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4075983Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4076417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4076901Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4077457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4077974Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4078265Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4078422Z 2025-12-04T09:39:37.4078487Z Expected 1 but got 2. 2025-12-04T09:39:37.4078660Z Absolute difference: 1 2025-12-04T09:39:37.4078839Z Relative difference: 1.0 2025-12-04T09:39:37.4078959Z 2025-12-04T09:39:37.4079089Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4079504Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4079792Z 2025-12-04T09:39:37.4080006Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4080379Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4080662Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4080891Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4081189Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4081459Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4081679Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4081971Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4082241Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4082470Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4082760Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4083030Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4083251Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4083540Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4083810Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4084022Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4084323Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4084592Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4084800Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4085087Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4085359Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4085568Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4085855Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4086125Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4086337Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4086627Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4086907Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4087126Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4087414Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4087685Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4087903Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4088192Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4088461Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4088727Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4089033Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4089299Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4089514Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4089858Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4090126Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4090343Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4090681Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4090957Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4091174Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4091465Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4091740Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4091963Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4092260Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4092540Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4092755Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4093127Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4093440Z Traceback (most recent call last): 2025-12-04T09:39:37.4093878Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4094327Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4094754Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4095212Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4095693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4096206Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4096488Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4096637Z 2025-12-04T09:39:37.4096707Z Expected 1 but got 2. 2025-12-04T09:39:37.4096877Z Absolute difference: 1 2025-12-04T09:39:37.4097057Z Relative difference: 1.0 2025-12-04T09:39:37.4097190Z 2025-12-04T09:39:37.4097320Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4097739Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4098031Z 2025-12-04T09:39:37.4098298Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4098669Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4098950Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4099174Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4099466Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4099739Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4099956Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4100243Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4100534Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4100756Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4101044Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4101318Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4101534Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4101821Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4102089Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4102305Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4102653Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4102931Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4103147Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4103442Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4103751Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4103963Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4104289Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4104561Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4104773Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4105069Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4105341Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4105555Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4105853Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4106142Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4106373Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4106718Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4107007Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4107230Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4107529Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4107801Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4108029Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4108327Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4108603Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4108824Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4109123Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4109390Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4109628Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4109923Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4110196Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4110415Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4110713Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4110986Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4111208Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4111499Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4111781Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4113556Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4113938Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4114263Z Traceback (most recent call last): 2025-12-04T09:39:37.4114707Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4115174Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4115612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4116071Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4116567Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4117084Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4117379Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4117536Z 2025-12-04T09:39:37.4117606Z Expected 1 but got 2. 2025-12-04T09:39:37.4117939Z Absolute difference: 1 2025-12-04T09:39:37.4118132Z Relative difference: 1.0 2025-12-04T09:39:37.4118250Z 2025-12-04T09:39:37.4118388Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4118808Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4119179Z 2025-12-04T09:39:37.4119348Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4119729Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4120067Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4120306Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4120618Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4120899Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4121121Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4121419Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4121711Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4121930Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4122223Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4122573Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4122798Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4123094Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4123373Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4123593Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4123881Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4124156Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4124374Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4124665Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4124948Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4125171Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4125469Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4125749Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4125979Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4126276Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4126545Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4126771Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4127067Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4127339Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4127559Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4127853Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4128141Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4128358Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4128651Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4128926Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4129142Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4129434Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4129706Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4129926Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4130224Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4130496Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4130719Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4131014Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4131346Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4131573Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4131864Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4132138Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4132401Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4132688Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4132973Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4133233Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4133528Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4133799Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4134019Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4134358Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4134676Z Traceback (most recent call last): 2025-12-04T09:39:37.4135120Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4135580Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4136063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4136530Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4137029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4137555Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4137840Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4138000Z 2025-12-04T09:39:37.4138067Z Expected 1 but got 2. 2025-12-04T09:39:37.4138368Z Absolute difference: 1 2025-12-04T09:39:37.4138556Z Relative difference: 1.0 2025-12-04T09:39:37.4138691Z 2025-12-04T09:39:37.4138823Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4139247Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4139539Z 2025-12-04T09:39:37.4139714Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4140087Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4140386Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4140621Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4140932Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4141214Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4141441Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4141738Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4142029Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4142248Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4142553Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4142823Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4143049Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4143347Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4143624Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4143851Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4144148Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4144424Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4144640Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4144933Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4145280Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4145498Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4145788Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4146074Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4146299Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4146646Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4146922Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4147146Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4147470Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4147757Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4147980Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4148274Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4148544Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4148769Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4149062Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4149330Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4149551Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4149912Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4150185Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4150407Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4150704Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4150981Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4151193Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4151500Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4151782Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4151999Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4152297Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4152578Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4152795Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4153098Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4153379Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4153622Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4153917Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4154194Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4154418Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4154708Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4154987Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4155215Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4155554Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4155871Z Traceback (most recent call last): 2025-12-04T09:39:37.4156310Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4156775Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4157203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4157667Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4158158Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4158673Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4158955Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4159167Z 2025-12-04T09:39:37.4159236Z Expected 1 but got 2. 2025-12-04T09:39:37.4159419Z Absolute difference: 1 2025-12-04T09:39:37.4159598Z Relative difference: 1.0 2025-12-04T09:39:37.4159722Z 2025-12-04T09:39:37.4159851Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4160285Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4160622Z 2025-12-04T09:39:37.4160790Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4161211Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4161498Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4161729Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4162024Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4162312Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4162536Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4162835Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4163105Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4163326Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4163684Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4163962Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4164184Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4164483Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4164751Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4164972Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4165269Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4165545Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4165759Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4166060Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4166349Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4166566Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4166863Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4167146Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4167368Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4167660Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4167939Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4168162Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4168453Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4168731Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4168953Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4169245Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4169537Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4169764Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4170066Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4170339Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4170562Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4170863Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4171133Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4171347Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4171654Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4171923Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4172143Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4172507Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4172786Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4173002Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4173293Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4173611Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4173831Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4174123Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4174446Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4174661Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4174956Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4175233Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4175460Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4175750Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4176024Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4176244Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4176532Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4176850Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4177072Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4177232Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4177327Z Traceback (most recent call last): 2025-12-04T09:39:37.4177625Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4177711Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4177989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4178202Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4178527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4178667Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4178758Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4178763Z 2025-12-04T09:39:37.4178837Z Expected 1 but got 2. 2025-12-04T09:39:37.4178908Z Absolute difference: 1 2025-12-04T09:39:37.4178979Z Relative difference: 1.0 2025-12-04T09:39:37.4178983Z 2025-12-04T09:39:37.4179120Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4179333Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4179337Z 2025-12-04T09:39:37.4179512Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4179643Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4179714Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4179816Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4179943Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4180013Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4180116Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4180242Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4180311Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4180413Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4180542Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4180620Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4180712Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4180839Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4180969Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4181062Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4181191Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4181278Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4181415Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4181548Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4181618Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4181747Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4181885Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4181955Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4182047Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4182181Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4182253Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4182343Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4182475Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4182550Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4182699Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4182838Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4182912Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4183020Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4183152Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4183224Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4183323Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4183448Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4183527Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4183620Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4183758Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4183834Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4183933Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4184060Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4184134Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4184229Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4184359Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4184434Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4184525Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4184658Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4184729Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4184822Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4184953Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4185023Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4185120Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4185254Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4185323Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4185424Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4185551Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4185621Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4185718Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4185843Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4185963Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4186062Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4186221Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4186303Z Traceback (most recent call last): 2025-12-04T09:39:37.4186612Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4186750Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4187077Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4187188Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4187513Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4187650Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4187738Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4187742Z 2025-12-04T09:39:37.4187817Z Expected 1 but got 2. 2025-12-04T09:39:37.4187888Z Absolute difference: 1 2025-12-04T09:39:37.4187961Z Relative difference: 1.0 2025-12-04T09:39:37.4187965Z 2025-12-04T09:39:37.4188103Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4188355Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4188359Z 2025-12-04T09:39:37.4188526Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4188665Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4188738Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4188840Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4188969Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4189044Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4189149Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4189275Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4189348Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4189449Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4189590Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4189665Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4189766Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4189895Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4189974Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4190067Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4190195Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4190274Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4190370Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4190495Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4190570Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4190667Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4190804Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4190874Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4190966Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4191109Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4191178Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4191269Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4191403Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4191474Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4191627Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4191759Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4191830Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4191933Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4192065Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4192171Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4192268Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4192447Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4192518Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4192616Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4192743Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4192820Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4192919Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4193048Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4193125Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4193217Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4193393Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4193477Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4193571Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4193703Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4193780Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4193874Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4194004Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4194072Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4194166Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4194298Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4194367Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4194460Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4194609Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4194683Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4194782Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4194912Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4194981Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4195079Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4195208Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4195279Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4195378Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4195540Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4195619Z Traceback (most recent call last): 2025-12-04T09:39:37.4195917Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4196007Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4196282Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4196391Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4196705Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4196839Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4196923Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4196927Z 2025-12-04T09:39:37.4197059Z Expected 1 but got 2. 2025-12-04T09:39:37.4197131Z Absolute difference: 1 2025-12-04T09:39:37.4197202Z Relative difference: 1.0 2025-12-04T09:39:37.4197205Z 2025-12-04T09:39:37.4197347Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4197569Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4197608Z 2025-12-04T09:39:37.4197769Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4197939Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4198010Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4198118Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4198245Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4198315Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4198415Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4198544Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4198614Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4198712Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4198839Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4198953Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4199049Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4199176Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4199254Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4199346Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4199472Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4199548Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4199641Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4199770Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4199849Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4199942Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4200084Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4200159Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4200253Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4200384Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4200461Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4200554Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4200687Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4200758Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4200861Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4200988Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4201058Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4201155Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4201281Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4201354Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4201453Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4201581Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4201663Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4201764Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4201889Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4201966Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4202058Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4202270Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4202348Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4202443Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4202570Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4202655Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4202874Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4203019Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4203125Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4203226Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4203364Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4203434Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4203529Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4203674Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4203747Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4203843Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4203979Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4204086Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4204190Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4204318Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4204389Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4204495Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4204624Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4204693Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4204790Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4204913Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4204991Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4205085Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4205239Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4205323Z Traceback (most recent call last): 2025-12-04T09:39:37.4205621Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4205706Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4205983Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4206084Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4206400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4206525Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4206611Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4206615Z 2025-12-04T09:39:37.4206691Z Expected 1 but got 2. 2025-12-04T09:39:37.4206763Z Absolute difference: 1 2025-12-04T09:39:37.4206834Z Relative difference: 1.0 2025-12-04T09:39:37.4206838Z 2025-12-04T09:39:37.4206971Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4207184Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4207188Z 2025-12-04T09:39:37.4207357Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4207484Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4207556Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4207657Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4207786Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4207911Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4208012Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4208139Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4208213Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4208309Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4208472Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4208548Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4208689Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4208819Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4208895Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4208988Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4209113Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4209194Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4209288Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4209422Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4209493Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4209619Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4209758Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4209829Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4209923Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4210057Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4210130Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4210229Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4210357Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4210430Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4210531Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4210656Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4210725Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4210829Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4210957Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4211029Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4211132Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4211259Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4211338Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4211430Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4211555Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4211632Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4211725Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4211849Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4211926Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4212386Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4212545Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4212619Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4212714Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4212854Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4212928Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4213022Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4213156Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4213358Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4213459Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4213595Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4213666Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4213769Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4213990Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4214065Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4214170Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4214354Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4214427Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4214528Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4214658Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4214735Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4214834Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4214971Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4215050Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4215146Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4215337Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4215417Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4215512Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4215682Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4215770Z Traceback (most recent call last): 2025-12-04T09:39:37.4216071Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4216174Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4216456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4216560Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4216877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4217008Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4217098Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4217103Z 2025-12-04T09:39:37.4217173Z Expected 1 but got 2. 2025-12-04T09:39:37.4217245Z Absolute difference: 1 2025-12-04T09:39:37.4217321Z Relative difference: 1.0 2025-12-04T09:39:37.4217326Z 2025-12-04T09:39:37.4217457Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4217668Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4217672Z 2025-12-04T09:39:37.4217838Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4217971Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4218046Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4218234Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4218367Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4218446Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4218540Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4218669Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4218748Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4218842Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4218975Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4219045Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4219138Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4219334Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4219403Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4219497Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4219644Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4219755Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4219849Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4220016Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4220087Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4220183Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4220310Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4220378Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4220477Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4220606Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4220675Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4220787Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4220950Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4221031Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4221126Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4221258Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4221335Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4221428Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4221565Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4221643Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4221738Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4221866Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4221942Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4222036Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4222172Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4222246Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4222340Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4222474Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4222549Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4222644Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4222780Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4222850Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4222948Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4223077Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4223149Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4223248Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4223374Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4223452Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4223553Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4223678Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4223751Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4223864Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4223994Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4224070Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4224165Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4224336Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4224417Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4224512Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4224640Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4224754Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4224848Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4224986Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4225100Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4225196Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4225331Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4225402Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4225497Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4225645Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4225717Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4225813Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4225981Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4226102Z Traceback (most recent call last): 2025-12-04T09:39:37.4226408Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4226504Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4226791Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4226902Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4227216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4227345Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4227444Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4227448Z 2025-12-04T09:39:37.4227518Z Expected 1 but got 2. 2025-12-04T09:39:37.4227594Z Absolute difference: 1 2025-12-04T09:39:37.4227667Z Relative difference: 1.0 2025-12-04T09:39:37.4227673Z 2025-12-04T09:39:37.4227805Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4228024Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4228029Z 2025-12-04T09:39:37.4228195Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4228332Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4228402Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4228497Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4228630Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4228702Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4228796Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4228927Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4228996Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4229094Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4229226Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4229294Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4229393Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4229520Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4229589Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4229689Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4229814Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4229937Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4230039Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4230168Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4230244Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4230380Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4230506Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4230591Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4230721Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4230852Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4230932Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4231025Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4231150Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4231230Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4231321Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4231453Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4231527Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4231664Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4231801Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4231872Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4231969Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4232106Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4232177Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4232278Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4232406Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4232478Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4232578Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4232704Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4232773Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4232892Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4233022Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4233092Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4233193Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4233319Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4233395Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4233488Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4233613Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4233693Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4233785Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4233913Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4233991Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4234088Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4234223Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4234295Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4234392Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4234528Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4234598Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4234693Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4234827Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4234969Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4235064Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4235209Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4235278Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4235382Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4235548Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4235619Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4235751Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4235880Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4235950Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4236049Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4236175Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4236254Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4236347Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4236506Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4236590Z Traceback (most recent call last): 2025-12-04T09:39:37.4236915Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4237004Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4237283Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4237387Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4237702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4237828Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4237916Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4237919Z 2025-12-04T09:39:37.4237993Z Expected 1 but got 2. 2025-12-04T09:39:37.4238062Z Absolute difference: 1 2025-12-04T09:39:37.4238132Z Relative difference: 1.0 2025-12-04T09:39:37.4238136Z 2025-12-04T09:39:37.4238271Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4238487Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4238491Z 2025-12-04T09:39:37.4238655Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4238785Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4238855Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4238955Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4239081Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4239162Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4239264Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4239390Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4239465Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4239557Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4239685Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4239759Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4239852Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4239979Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4240054Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4240148Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4240282Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4240351Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4240495Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4240624Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4240693Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4240784Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4240917Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4241721Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4241819Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4241991Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4242072Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4242174Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4242302Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4242372Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4242478Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4242605Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4242674Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4242774Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4242946Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4243030Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4243131Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4243261Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4243336Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4243429Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4243555Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4243631Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4243726Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4243852Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4243928Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4244020Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4244154Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4244230Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4244321Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4244458Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4244526Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4244618Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4244750Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4244821Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4244914Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4245048Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4258243Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4258415Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4258578Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4258669Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4258772Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4258929Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4259004Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4259103Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4259239Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4259312Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4259405Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4259644Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4259712Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4259806Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4259945Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4260071Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4260171Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4260340Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4260410Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4260510Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4260640Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4260712Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4260813Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4260943Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4261019Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4261115Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4261315Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4261405Z Traceback (most recent call last): 2025-12-04T09:39:37.4261723Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4261816Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4262114Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4262236Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4262571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4262707Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4262796Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4262801Z 2025-12-04T09:39:37.4262877Z Expected 1 but got 2. 2025-12-04T09:39:37.4262948Z Absolute difference: 1 2025-12-04T09:39:37.4263021Z Relative difference: 1.0 2025-12-04T09:39:37.4263030Z 2025-12-04T09:39:37.4263176Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4263397Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4263405Z 2025-12-04T09:39:37.4263577Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4263713Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4263790Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4263897Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4264031Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4264101Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4264203Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4264331Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4264415Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4264508Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4264639Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4264721Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4264824Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4264951Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4265028Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4265120Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4265248Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4265372Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4265465Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4265609Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4265681Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4265816Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4265953Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4266055Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4266149Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4266282Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4266352Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4266451Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4266575Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4266647Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4266746Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4266869Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4266949Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4267115Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4267243Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4267313Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4267415Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4267540Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4267616Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4267708Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4267833Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4267910Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4268009Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4268136Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4268213Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4268311Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4268442Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4268510Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4268605Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4268744Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4268815Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4268907Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4269037Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4269108Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4269199Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4269330Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4269398Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4269499Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4269623Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4269693Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4269796Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4269921Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4270001Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4270103Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4270228Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4270350Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4270444Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4270570Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4270648Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4270779Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4270906Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4270980Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4271108Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4271246Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4271323Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4271416Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4271548Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4271619Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4271709Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4271844Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4271914Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4272043Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4272181Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4272251Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4272353Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4272514Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4272596Z Traceback (most recent call last): 2025-12-04T09:39:37.4272913Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4273000Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4273282Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4273397Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4273712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4273852Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4273939Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4273943Z 2025-12-04T09:39:37.4274015Z Expected 1 but got 2. 2025-12-04T09:39:37.4274093Z Absolute difference: 1 2025-12-04T09:39:37.4274170Z Relative difference: 1.0 2025-12-04T09:39:37.4274174Z 2025-12-04T09:39:37.4274307Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4274521Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4274527Z 2025-12-04T09:39:37.4274698Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4274828Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4274899Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4275001Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4275130Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4275206Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4275301Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4275433Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4275508Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4275609Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4275736Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4275816Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4275949Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4276079Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4276147Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4276239Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4276410Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4276479Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4276570Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4276736Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4276807Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4276901Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4277031Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4277100Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4277200Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4277330Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4277397Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4277495Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4277658Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4277730Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4277829Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4277958Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4278033Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4278126Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4278258Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4278342Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4278436Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4278559Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4278633Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4278722Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4278849Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4278925Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4279015Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4279144Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4279210Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4279300Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4279428Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4279496Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4279589Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4279717Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4279786Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4279881Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4280007Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4280079Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4280175Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4280301Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4280368Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4280474Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4280601Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4280669Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4280808Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4280932Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4281006Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4281098Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4281224Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4281342Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4281433Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4281593Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4281671Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4281763Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4281895Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4281963Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4282053Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4282185Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4282253Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4282346Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4282520Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4282594Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4282685Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4282819Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4282888Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4282987Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4283117Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4283186Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4283285Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4283414Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4283484Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4283580Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4283747Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4283836Z Traceback (most recent call last): 2025-12-04T09:39:37.4284129Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4284222Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4284498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4284602Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4284915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4285052Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4285135Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4285139Z 2025-12-04T09:39:37.4285214Z Expected 1 but got 2. 2025-12-04T09:39:37.4285284Z Absolute difference: 1 2025-12-04T09:39:37.4285357Z Relative difference: 1.0 2025-12-04T09:39:37.4285363Z 2025-12-04T09:39:37.4285503Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4285714Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4285720Z 2025-12-04T09:39:37.4285883Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4286018Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4286090Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4286189Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4286356Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4286424Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4286524Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4286650Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4286760Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4286860Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4286986Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4287112Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4287208Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4287334Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4287407Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4287498Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4287628Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4287704Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4287795Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4287921Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4288035Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4288127Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4288256Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4288325Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4288418Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4288548Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4288619Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4288709Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4288839Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4288907Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4289002Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4289124Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4289194Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4289291Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4289415Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4289484Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4289594Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4289720Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4289787Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4289883Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4290006Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4290082Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4290173Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4290300Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4290375Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4290468Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4290591Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4290666Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4290759Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4290889Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4290956Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4291047Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4291179Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4291299Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4291391Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4291521Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4291591Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4291732Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4291864Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4291932Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4292070Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4292208Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4292277Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4292375Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4292500Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4292571Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4292668Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4292796Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4292870Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4292999Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4293124Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4293205Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4293300Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4293424Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4293498Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4293589Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4293712Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4293789Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4293880Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4294011Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4294079Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4294175Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4294305Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4294373Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4294476Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4294610Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4294680Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4294777Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4294914Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4294986Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4295086Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4295247Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4295324Z Traceback (most recent call last): 2025-12-04T09:39:37.4295630Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4295720Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4295995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4296097Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4296406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4296547Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4296677Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4296681Z 2025-12-04T09:39:37.4296750Z Expected 1 but got 2. 2025-12-04T09:39:37.4296824Z Absolute difference: 1 2025-12-04T09:39:37.4296895Z Relative difference: 1.0 2025-12-04T09:39:37.4296898Z 2025-12-04T09:39:37.4297035Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4297284Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4297287Z 2025-12-04T09:39:37.4297485Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4297621Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4297690Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4297785Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4297922Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4297994Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4298244Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4298375Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4298449Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4298547Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4298717Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4298798Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4298901Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4299031Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4299110Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4299202Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4299326Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4299405Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4299495Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4299618Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4299691Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4299781Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4299910Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4299984Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4300079Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4300216Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4300286Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4300384Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4300518Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4300589Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4300693Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4300818Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4300890Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4300989Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4301121Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4301190Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4301289Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4301418Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4301491Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4301582Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4301706Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4301780Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4302032Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4302154Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4302231Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4302321Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4302501Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4302572Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4302663Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4302830Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4302900Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4302990Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4303121Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4303188Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4303282Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4303414Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4303482Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4303579Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4303739Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4303810Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4303906Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4304032Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4304099Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4304195Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4304318Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4304391Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4304484Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4304608Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4304681Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4304772Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4304896Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4304972Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4305064Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4305188Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4305263Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4305356Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4305489Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4305557Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4305651Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4305780Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4305851Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4305944Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4306081Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4306163Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4306258Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4306391Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4306459Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4306558Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4306683Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4306750Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4306848Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4307015Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4307085Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4307182Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4307344Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4307483Z Traceback (most recent call last): 2025-12-04T09:39:37.4307776Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4307896Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4308177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4308278Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4308593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4308732Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4308815Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4308819Z 2025-12-04T09:39:37.4308893Z Expected 1 but got 2. 2025-12-04T09:39:37.4308967Z Absolute difference: 1 2025-12-04T09:39:37.4309077Z Relative difference: 1.0 2025-12-04T09:39:37.4309081Z 2025-12-04T09:39:37.4309227Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4309438Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4309442Z 2025-12-04T09:39:37.4309608Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4309738Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4309808Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4309908Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4310038Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4310107Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4310208Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4310336Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4310408Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4310506Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4310632Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4310712Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4310804Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4310937Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4311015Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4311106Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4311234Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4311311Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4311404Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4311532Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4311613Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4311707Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4311835Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4311903Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4312349Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4312547Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4312621Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4312718Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4313010Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4313079Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4313176Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4313301Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4313437Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4313540Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4313683Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4313806Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4313911Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4314036Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4314111Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4314200Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4314325Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4314402Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4314495Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4314625Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4314765Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4314863Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4314988Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4315066Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4315159Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4315288Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4315358Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4315449Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4315578Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4315649Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4315742Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4315885Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4315956Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4316057Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4316181Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4316249Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4316347Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4316473Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4316541Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4316638Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4316764Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4316836Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4316935Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4317061Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4317134Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4317227Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4317352Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4317428Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4317521Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4317647Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4317721Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4317813Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4317944Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4318065Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4318158Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4318290Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4318357Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4318488Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4318619Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4318687Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4318814Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4318950Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4319019Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4319118Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4319244Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4319315Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4319416Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4319541Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4319611Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4319749Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4319877Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4319954Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4320049Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4320221Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4320310Z Traceback (most recent call last): 2025-12-04T09:39:37.4320618Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4320707Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4321000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4321104Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4321426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4321556Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4321641Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4321647Z 2025-12-04T09:39:37.4321723Z Expected 1 but got 2. 2025-12-04T09:39:37.4321793Z Absolute difference: 1 2025-12-04T09:39:37.4321868Z Relative difference: 1.0 2025-12-04T09:39:37.4321872Z 2025-12-04T09:39:37.4322011Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4322223Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4322229Z 2025-12-04T09:39:37.4322401Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4322528Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4322598Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4322700Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4322829Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4322897Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4322997Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4323134Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4323213Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4323306Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4323433Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4323555Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4323647Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4323771Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4323848Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4323939Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4324108Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4324184Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4324275Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4324440Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4324512Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4324603Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4324734Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4324800Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4324905Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4325039Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4325107Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4325203Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4325367Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4325437Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4325535Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4325678Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4325750Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4325861Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4325989Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4326059Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4326157Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4326282Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4326356Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4326446Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4326573Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4326648Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4326740Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4326866Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4326942Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4327033Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4327164Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4327232Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4327324Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4327475Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4327548Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4327647Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4327790Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4327861Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4327955Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4328093Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4328162Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4328261Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4328390Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4328459Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4328633Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4328760Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4328829Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4328930Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4329062Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4329180Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4329274Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4329436Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4329512Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4329603Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4329728Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4329804Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4329900Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4330028Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4330105Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4330200Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4330372Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4330445Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4330547Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4330685Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4330756Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4330850Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4330984Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4331062Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4331163Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4331294Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4331364Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4331471Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4331602Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4331673Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4331774Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4331902Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4331972Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4332072Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4332198Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4332276Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4332369Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4332497Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4332572Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4332661Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4332821Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4332908Z Traceback (most recent call last): 2025-12-04T09:39:37.4333203Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4333297Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4333568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4333674Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4333994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4334169Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4334265Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4334275Z 2025-12-04T09:39:37.4334345Z Expected 1 but got 2. 2025-12-04T09:39:37.4334415Z Absolute difference: 1 2025-12-04T09:39:37.4334493Z Relative difference: 1.0 2025-12-04T09:39:37.4334534Z 2025-12-04T09:39:37.4334679Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4334896Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4334934Z 2025-12-04T09:39:37.4335105Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4335235Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4335311Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4335407Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4335539Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4335615Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4335707Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4335833Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4335955Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4336050Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4336175Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4336253Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4336344Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4336475Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4336542Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4336634Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4336770Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4336839Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4336929Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4337060Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4337133Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4337229Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4337357Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4337427Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4337524Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4337648Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4337717Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4337818Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4337946Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4338015Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4338222Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4338351Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4338429Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4338522Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4338646Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4338724Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4338817Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4338941Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4339016Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4339108Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4339240Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4339363Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4339454Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4339586Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4339655Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4339794Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4339926Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4340030Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4340126Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4340256Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4340326Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4340428Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4340554Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4340625Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4340723Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4340854Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4340923Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4341059Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4341189Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4341265Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4341360Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4341501Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4341576Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4341683Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4341812Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4341890Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4341983Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4342116Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4342189Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4342285Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4342419Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4342498Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4342596Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4342725Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4342794Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4342887Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4343017Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4343090Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4343186Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4343326Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4343399Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4343502Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4343629Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4343702Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4343803Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4343928Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4344004Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4344099Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4344233Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4344352Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4344443Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4344570Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4344644Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4344736Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4344897Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4344973Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4345097Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4345229Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4345298Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4345389Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4345521Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4345591Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4345681Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4345844Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4345930Z Traceback (most recent call last): 2025-12-04T09:39:37.4346290Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4346380Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4346655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4346762Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4347077Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4347202Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4347298Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4347302Z 2025-12-04T09:39:37.4347370Z Expected 1 but got 2. 2025-12-04T09:39:37.4347444Z Absolute difference: 1 2025-12-04T09:39:37.4347515Z Relative difference: 1.0 2025-12-04T09:39:37.4347519Z 2025-12-04T09:39:37.4347648Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4347868Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4347872Z 2025-12-04T09:39:37.4348034Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4348171Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4348248Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4348347Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4348494Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4348565Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4348660Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4348791Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4348859Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4348950Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4349085Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4349156Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4349252Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4349381Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4349450Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4349548Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4349676Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4349744Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4349890Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4350015Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4350087Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4350186Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4350350Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4350424Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4350518Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4350682Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4350759Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4350856Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4350980Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4351054Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4351149Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4351278Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4351347Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4351437Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4351605Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4351677Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4351771Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4351905Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4351976Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4352067Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4352204Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4352272Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4352376Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4352510Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4352580Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4352680Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4352810Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4352880Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4352982Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4353109Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4353186Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4353279Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4353404Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4353482Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4353579Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4353704Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4353783Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4353875Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4354004Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4354083Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4354175Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4354307Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4354375Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4354465Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4354596Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4354663Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4354798Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4354931Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4354999Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4355094Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4355221Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4355328Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4355431Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4355597Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4355668Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4355763Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4355885Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4355953Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4356050Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4356188Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4356261Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4356354Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4356515Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4356593Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4356683Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4356810Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4356885Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4356979Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4357107Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4357175Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4357266Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4357409Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4357479Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4357570Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4357703Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4357773Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4357865Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4357999Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4358076Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4358174Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4358299Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4358366Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4358463Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4358591Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4358659Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4358756Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4358918Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4359010Z Traceback (most recent call last): 2025-12-04T09:39:37.4359312Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4359401Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4359686Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4359789Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4360097Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4360285Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4360371Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4360376Z 2025-12-04T09:39:37.4360451Z Expected 1 but got 2. 2025-12-04T09:39:37.4360519Z Absolute difference: 1 2025-12-04T09:39:37.4360590Z Relative difference: 1.0 2025-12-04T09:39:37.4360633Z 2025-12-04T09:39:37.4360772Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4360982Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4361019Z 2025-12-04T09:39:37.4361185Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4361325Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4361397Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4361499Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4361630Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4361699Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4361798Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4361923Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4362030Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4362134Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4362259Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4362344Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4362442Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4362567Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4362644Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4362737Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4362864Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4362946Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4363037Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4363169Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4363241Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4363333Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4363466Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4363539Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4363633Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4363762Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4363833Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4363926Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4364069Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4364141Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4364238Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4364364Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4364434Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4364537Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4364663Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4364734Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4364831Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4364953Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4365030Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4365122Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4365257Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4365381Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4365471Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4365596Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4365671Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4365812Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4365937Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4366012Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4366156Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4366294Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4366368Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4366459Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4366593Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4366664Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4366752Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4366882Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4366951Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4367080Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4367211Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4367278Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4367375Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4367505Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4367575Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4367671Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4367796Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4367877Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4367979Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4368106Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4368181Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4368275Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4368401Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4368476Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4368569Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4368694Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4368770Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4368861Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4368987Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4369063Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4369156Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4369289Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4369358Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4369448Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4369583Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4369653Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4369745Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4369877Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4369947Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4370047Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4370174Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4370289Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4370387Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4370525Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4370594Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4370696Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4370856Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4370925Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4371060Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4371201Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4371277Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4371372Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4371498Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4371575Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4371667Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4371794Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4371870Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4372004Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4372143Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4372213Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4372307Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4372471Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4372554Z Traceback (most recent call last): 2025-12-04T09:39:37.4372850Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4372943Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4373228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4373344Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4373656Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4373785Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4373876Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4373880Z 2025-12-04T09:39:37.4373949Z Expected 1 but got 2. 2025-12-04T09:39:37.4374027Z Absolute difference: 1 2025-12-04T09:39:37.4374109Z Relative difference: 1.0 2025-12-04T09:39:37.4374112Z 2025-12-04T09:39:37.4374243Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4374460Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4374465Z 2025-12-04T09:39:37.4374630Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4374761Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4374840Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4374937Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4375070Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4375149Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4375243Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4375388Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4375459Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4375551Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4375682Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4375753Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4375891Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4376022Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4376090Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4376186Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4376313Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4376419Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4376517Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4376677Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4376746Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4376844Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4376970Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4377038Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4377136Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4377260Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4377332Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4377424Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4377589Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4377671Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4377762Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4377894Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4377971Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4378061Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4378313Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4378383Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4378476Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4378607Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4378675Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4378767Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4378899Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4378968Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4379060Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4379193Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4379264Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4379377Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4379519Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4379592Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4379699Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4379834Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4379905Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4380008Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4380141Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4380220Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4380314Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4380441Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4380520Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4380612Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4380738Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4380813Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4380904Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4381086Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4381163Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4381256Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4381389Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4381499Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4381593Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4381761Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4381831Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4381923Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4382058Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4382130Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4382223Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4382358Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4382429Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4382552Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4382803Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4382877Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4382977Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4383109Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4383177Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4383281Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4383411Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4383492Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4383592Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4383720Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4383796Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4383889Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4384016Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4384098Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4384193Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4384320Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4384400Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4384497Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4384628Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4384700Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4384793Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4384929Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4385000Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4385091Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4385225Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4385298Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4385398Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4385528Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4385599Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4385696Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4385821Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4385889Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4385985Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4386174Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4386245Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4386345Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4386506Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4386646Z Traceback (most recent call last): 2025-12-04T09:39:37.4386950Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4387036Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4387356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4387463Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4387784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4387928Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4388016Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4388020Z 2025-12-04T09:39:37.4388096Z Expected 1 but got 2. 2025-12-04T09:39:37.4388169Z Absolute difference: 1 2025-12-04T09:39:37.4388241Z Relative difference: 1.0 2025-12-04T09:39:37.4388245Z 2025-12-04T09:39:37.4388423Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4388646Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4388650Z 2025-12-04T09:39:37.4388836Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4388972Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4389042Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4389145Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4389273Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4389344Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4389444Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4389572Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4389648Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4389744Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4389869Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4389944Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4390038Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4390164Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4390242Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4390336Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4390460Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4390542Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4390635Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4390767Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4390837Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4390933Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4391066Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4391135Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4391229Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4391363Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4391433Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4391530Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4391656Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4391770Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4391881Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4392013Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4392083Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4392221Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4392349Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4392417Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4392554Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4392681Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4392758Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4392851Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4392976Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4393054Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4393148Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4393275Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4393363Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4393501Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4393637Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4393707Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4393804Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4393937Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4394007Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4394101Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4394233Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4394305Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4394399Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4394533Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4394601Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4394701Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4394839Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4394911Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4395014Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4395140Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4395210Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4395313Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4395439Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4395523Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4395617Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4395743Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4395819Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4395912Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4396039Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4396114Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4396207Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4396332Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4396408Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4396500Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4396631Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4396752Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4396845Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4396977Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4397046Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4397137Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4397306Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4397376Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4397474Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4397634Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4397706Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4397807Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4397933Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4398005Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4398102Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4398225Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4398294Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4398391Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4398554Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4398629Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4398721Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4398860Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4398936Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4399027Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4399151Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4399227Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4399322Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4399456Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4399526Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4399629Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4399766Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4399836Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4399930Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4400062Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4400132Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4400224Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4400356Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4400424Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4400526Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4400688Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4400767Z Traceback (most recent call last): 2025-12-04T09:39:37.4401069Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4401160Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4401434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4401547Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4401860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4401994Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4402080Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4402133Z 2025-12-04T09:39:37.4402206Z Expected 1 but got 2. 2025-12-04T09:39:37.4402282Z Absolute difference: 1 2025-12-04T09:39:37.4402355Z Relative difference: 1.0 2025-12-04T09:39:37.4402359Z 2025-12-04T09:39:37.4402490Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4402709Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4402748Z 2025-12-04T09:39:37.4402911Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4403080Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4403152Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4403249Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4403386Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4403457Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4403551Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4403687Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4403757Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4403856Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4404017Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4404092Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4404196Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4404328Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4404398Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4404503Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4404630Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4404707Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4404802Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4404940Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4405020Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4405113Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4405241Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4405326Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4405418Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4405551Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4405628Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4405721Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4405857Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4405928Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4406024Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4406158Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4406227Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4406319Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4406454Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4406525Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4406621Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4406762Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4406832Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4406930Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4407055Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4407124Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4407223Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4407410Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4407480Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4407577Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4407701Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4407814Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4407907Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4408031Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4408141Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4408234Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4408358Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4408440Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4408531Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4408662Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4408732Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4408824Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4408954Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4409059Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4409152Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4409283Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4409364Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4409459Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4409596Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4409664Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4409762Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4409891Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4409958Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4410057Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4410193Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4410267Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4410368Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4410494Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4410571Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4410667Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4410792Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4410868Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4410961Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4411090Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4411171Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4411264Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4411391Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4411471Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4411564Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4411698Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4411770Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4411861Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4412326Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4412434Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4412546Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4412685Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4412883Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4412995Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4413125Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4413198Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4413365Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4413490Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4413611Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4413728Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4413857Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4413931Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4414033Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4414160Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4414243Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4414336Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4414461Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4414536Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4414692Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4414823Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4414901Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4414996Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4415128Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4415198Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4415292Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4415425Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4415497Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4415589Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4415756Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4415847Z Traceback (most recent call last): 2025-12-04T09:39:37.4416150Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4416244Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4416522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4416635Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4416948Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4417077Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4417170Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4417174Z 2025-12-04T09:39:37.4417243Z Expected 1 but got 2. 2025-12-04T09:39:37.4417320Z Absolute difference: 1 2025-12-04T09:39:37.4417393Z Relative difference: 1.0 2025-12-04T09:39:37.4417396Z 2025-12-04T09:39:37.4417528Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4417748Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4417751Z 2025-12-04T09:39:37.4417915Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4418044Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4418222Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4418322Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4418455Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4418588Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4418685Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4418815Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4418885Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4418981Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4419172Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4419244Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4419380Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4419515Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4419588Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4419684Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4419808Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4419879Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4419982Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4420112Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4420182Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4420327Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4420458Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4420532Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4420626Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4420763Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4420839Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4420932Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4421057Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4421134Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4421230Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4421355Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4421433Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4421525Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4421658Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4421727Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4421821Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4421953Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4422021Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4422113Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4422246Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4422318Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4422423Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4422551Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4422621Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4422721Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4422851Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4422921Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4423021Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4423155Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4423227Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4423327Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4423452Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4423529Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4423671Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4423795Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4423872Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4423963Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4424130Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4424206Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4424299Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4424475Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4424550Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4424643Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4450323Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4450470Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4450658Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4450809Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4450886Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4450996Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4451230Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4451306Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4451407Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4451549Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4451620Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4451717Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4451841Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4451915Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4452008Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4452129Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4452201Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4452291Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4452416Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4452490Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4452579Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4452710Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4452776Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4452878Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4453008Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4453073Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4453166Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4453301Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4453367Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4453457Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4453589Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4453658Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4453751Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4453879Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4453945Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4454039Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4454163Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4454228Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4454385Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4454516Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4454590Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4454685Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4454813Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4454934Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4455024Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4455190Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4455262Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4455355Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4455479Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4455551Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4455641Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4455773Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4455839Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4455928Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4456091Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4456160Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4456250Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4456434Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4456516Z Traceback (most recent call last): 2025-12-04T09:39:37.4456832Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4456920Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4457211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4457327Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4457641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4457773Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4457873Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4457878Z 2025-12-04T09:39:37.4457947Z Expected 1 but got 2. 2025-12-04T09:39:37.4458021Z Absolute difference: 1 2025-12-04T09:39:37.4458189Z Relative difference: 1.0 2025-12-04T09:39:37.4458193Z 2025-12-04T09:39:37.4458336Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4458567Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4458572Z 2025-12-04T09:39:37.4458740Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4458885Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4458959Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4459060Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4459194Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4459266Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4459360Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4459489Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4459559Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4459652Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4459783Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4459853Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4459949Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4460132Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4460200Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4460307Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4460435Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4460543Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4460641Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4460767Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4460868Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4460971Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4461097Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4461172Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4461264Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4461391Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4461465Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4461560Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4461691Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4461814Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4461908Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4462036Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4462104Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4462194Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4462322Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4462387Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4462477Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4462610Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4462677Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4462766Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4462895Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4462961Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4463055Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4463179Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4463247Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4463344Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4463474Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4463550Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4463649Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4463784Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4463862Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4463955Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4464076Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4464150Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4464240Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4464367Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4464442Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4464530Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4464652Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4464726Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4464815Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4464942Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4465053Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4465141Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4465280Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4465347Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4465477Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4465606Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4465672Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4465821Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4465946Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4466012Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4466111Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4466238Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4466305Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4466400Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4466537Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4466605Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4466739Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4466863Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4466946Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4467039Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4467162Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4467235Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4467324Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4467447Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4467521Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4467611Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4467742Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4467809Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4467903Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4468034Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4468100Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4468196Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4468326Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4468394Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4468482Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4468613Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4468683Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4468780Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4468904Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4468972Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4469073Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4469199Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4469267Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4469367Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4469491Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4469564Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4469654Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4469789Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4469907Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4469998Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4470123Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4470197Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4470290Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4470449Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4470523Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4470646Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4470777Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4470845Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4470935Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4471064Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4471136Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4471226Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4471388Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4471479Z Traceback (most recent call last): 2025-12-04T09:39:37.4471822Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4471913Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4472202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4472314Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4472630Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4472759Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4472856Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4472861Z 2025-12-04T09:39:37.4472942Z Expected 1 but got 2. 2025-12-04T09:39:37.4473023Z Absolute difference: 1 2025-12-04T09:39:37.4473094Z Relative difference: 1.0 2025-12-04T09:39:37.4473097Z 2025-12-04T09:39:37.4473232Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4473460Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4473463Z 2025-12-04T09:39:37.4473630Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4473773Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4473843Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4473938Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4474068Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4474133Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4474226Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4474357Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4474422Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4474512Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4474644Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4474711Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4474806Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4474944Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4475012Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4475110Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4475234Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4475301Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4475457Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4475584Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4475656Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4475746Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4475910Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4475982Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4476071Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4476241Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4476318Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4476408Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4476533Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4476606Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4476696Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4476825Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4476892Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4476982Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4477158Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4477229Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4477321Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4477454Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4477521Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4477611Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4477744Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4477810Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4477907Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4478031Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4478097Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4478194Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4478319Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4478388Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4478493Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4478619Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4478693Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4478783Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4478907Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4478980Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4479074Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4479200Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4479273Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4479364Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4479489Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4479565Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4479658Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4479791Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4479857Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4479946Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4480079Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4480146Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4480245Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4480423Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4480491Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4480586Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4480722Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4480829Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4480936Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4481098Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4481168Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4481266Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4481391Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4481459Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4481567Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4481693Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4481764Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4481851Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4482011Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4482088Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4482176Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4482303Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4482376Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4482465Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4482594Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4482660Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4482750Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4482891Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4482960Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4483048Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4483186Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4483257Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4483346Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4483476Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4483542Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4483639Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4483762Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4483828Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4483944Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4484075Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4484144Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4484246Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4484371Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4484446Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4484538Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4484660Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4484741Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4484837Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4484960Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4485032Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4485123Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4485291Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4485363Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4485453Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4485582Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4485706Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4485796Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4485924Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4486024Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4486117Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4486247Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4486312Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4486409Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4486568Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4486646Z Traceback (most recent call last): 2025-12-04T09:39:37.4486953Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4487039Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4487359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4487471Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4487787Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4487921Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4488004Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4488008Z 2025-12-04T09:39:37.4488074Z Expected 1 but got 2. 2025-12-04T09:39:37.4488148Z Absolute difference: 1 2025-12-04T09:39:37.4488219Z Relative difference: 1.0 2025-12-04T09:39:37.4488222Z 2025-12-04T09:39:37.4488352Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4488570Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4488574Z 2025-12-04T09:39:37.4488741Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4488876Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4488944Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4489042Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4489172Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4489241Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4489332Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4489464Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4489531Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4489630Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4489764Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4489831Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4489934Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4490060Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4490126Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4490227Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4490348Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4490423Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4490512Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4490637Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4490765Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4490868Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4490992Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4491069Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4491201Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4491330Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4491397Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4491521Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4491655Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4491722Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4491814Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4491947Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4492020Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4492112Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4492246Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4492325Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4492465Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4492591Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4492660Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4492758Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4492882Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4492949Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4493046Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4493169Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4493249Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4493345Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4493468Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4493541Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4493631Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4493755Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4493827Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4493916Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4494038Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4494110Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4494201Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4494330Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4494397Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4494487Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4494620Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4494685Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4494775Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4494909Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4494979Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4495078Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4495206Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4495273Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4495368Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4495502Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4495667Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4495764Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4495887Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4495955Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4496062Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4496228Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4496299Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4496423Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4496550Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4496621Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4496710Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4496833Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4496907Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4496997Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4497126Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4497194Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4497286Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4497452Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4497520Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4497612Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4497743Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4497809Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4497898Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4498028Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4498182Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4498284Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4498409Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4498476Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4498573Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4498700Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4498767Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4498866Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4498990Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4499064Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4499153Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4499275Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4499348Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4499440Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4499574Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4499648Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4499741Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4499870Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4499943Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4500035Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4500165Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4500231Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4500322Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4500452Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4500519Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4500657Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4500787Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4500855Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4500945Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4501077Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4501180Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4501278Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4501435Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4501503Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4501604Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4501728Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4501797Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4501910Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4502067Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4502153Z Traceback (most recent call last): 2025-12-04T09:39:37.4502479Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4502565Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4502842Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4502947Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4503258Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4503387Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4503469Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4503475Z 2025-12-04T09:39:37.4503544Z Expected 1 but got 2. 2025-12-04T09:39:37.4503610Z Absolute difference: 1 2025-12-04T09:39:37.4503687Z Relative difference: 1.0 2025-12-04T09:39:37.4503692Z 2025-12-04T09:39:37.4503825Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4504038Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4504043Z 2025-12-04T09:39:37.4504212Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4504337Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4504405Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4504502Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4504627Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4504697Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4504792Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4504916Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4504983Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4505079Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4505206Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4505279Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4505369Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4505496Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4505576Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4505667Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4505793Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4505867Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4505967Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4506165Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4506233Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4506323Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4506454Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4506559Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4506650Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4506825Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4506893Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4506984Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4507115Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4507182Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4507277Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4507402Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4507468Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4507563Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4507698Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4507803Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4507901Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4508025Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4508101Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4508191Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4508314Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4508387Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4508476Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4508602Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4508678Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4508767Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4508889Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4508966Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4509057Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4509186Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4509254Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4509345Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4509474Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4509540Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4509631Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4509764Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4509830Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4509927Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4510049Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4510119Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4510216Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4510339Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4510407Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4510507Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4510632Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4510697Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4510795Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4511054Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4511131Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4511220Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4511343Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4511420Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4511547Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4511671Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4511780Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4511873Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4512745Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4512836Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4512945Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4513090Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4513170Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4513267Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4513416Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4513638Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4513747Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4513880Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4513954Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4514051Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4514173Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4514240Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4514336Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4514459Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4514529Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4514625Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4514748Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4514819Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4514912Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4515037Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4515112Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4515202Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4515325Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4515400Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4515491Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4515616Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4515694Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4515784Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4515913Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4515979Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4516074Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4516204Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4516271Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4516363Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4516495Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4516563Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4516658Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4516781Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4516940Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4517036Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4517160Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4517238Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4517399Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4517525Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4517590Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4517756Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4517885Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4517957Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4518048Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4518172Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4518255Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4518348Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4518473Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4518545Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4518673Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4518840Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4518921Z Traceback (most recent call last): 2025-12-04T09:39:37.4519231Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4519323Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4519602Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4519707Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4520028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4520156Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4520245Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4520249Z 2025-12-04T09:39:37.4520321Z Expected 1 but got 2. 2025-12-04T09:39:37.4520389Z Absolute difference: 1 2025-12-04T09:39:37.4520468Z Relative difference: 1.0 2025-12-04T09:39:37.4520472Z 2025-12-04T09:39:37.4520605Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4520820Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4520825Z 2025-12-04T09:39:37.4520995Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4521122Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4521199Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4521294Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4521418Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4521490Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4521582Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4521708Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4521793Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4521889Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4522022Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4522090Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4522182Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4522313Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4522424Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4522516Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4522648Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4522714Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4522806Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4522974Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4523040Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4523137Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4523310Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4523378Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4523477Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4523604Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4523673Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4523774Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4523897Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4523969Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4524062Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4524246Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4524327Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4524420Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4524546Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4524619Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4524711Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4524833Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4524905Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4524997Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4525124Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4525198Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4525289Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4525422Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4525489Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4525579Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4525713Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4525781Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4525876Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4526001Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4526067Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4526166Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4526300Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4526370Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4526473Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4526602Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4526675Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4526774Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4526898Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4526970Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4527061Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4527185Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4527258Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4527403Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4527531Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4527615Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4527708Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4527841Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4527950Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4528041Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4528206Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4528274Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4528367Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4528499Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4528565Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4528656Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4528787Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4528853Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4528948Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4529106Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4529176Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4529271Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4529397Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4529464Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4529563Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4529691Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4529764Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4529857Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4529982Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4530055Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4530146Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4530275Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4530350Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4530440Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4530568Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4530642Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4530734Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4530863Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4530931Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4531021Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4531159Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4531230Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4531321Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4531459Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4531527Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4531626Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4531755Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4531822Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4531920Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4532044Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4532115Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4532214Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4532390Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4532457Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4532555Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4532678Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4532804Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4532903Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4533031Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4533142Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4533234Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4533360Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4533446Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4533536Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4533668Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4533737Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4533828Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4533955Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4534067Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4534162Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4534293Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4534361Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4534454Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4534583Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4534651Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4534746Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4534918Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4534999Z Traceback (most recent call last): 2025-12-04T09:39:37.4535310Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4535397Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4535674Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4535786Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4536101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4536240Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4536323Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4536328Z 2025-12-04T09:39:37.4536393Z Expected 1 but got 2. 2025-12-04T09:39:37.4536468Z Absolute difference: 1 2025-12-04T09:39:37.4536538Z Relative difference: 1.0 2025-12-04T09:39:37.4536541Z 2025-12-04T09:39:37.4536669Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4536895Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4536899Z 2025-12-04T09:39:37.4537068Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4537202Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4537273Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4537367Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4537498Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4537566Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4537666Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4537798Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4537909Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4538006Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4538238Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4538310Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4538461Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4538586Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4538653Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4538793Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4538923Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4538998Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4539089Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4539214Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4539289Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4539383Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4539506Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4539581Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4539706Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4539832Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4539906Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4539999Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4540129Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4540197Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4540288Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4540421Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4540490Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4540582Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4540715Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4540782Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4540883Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4541006Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4541075Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4541174Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4541298Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4541365Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4541462Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4541585Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4541653Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4541753Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4541878Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4541957Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4542053Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4542177Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4542251Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4542343Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4542466Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4542544Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4542637Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4542767Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4542890Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4542986Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4543117Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4543185Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4543279Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4543447Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4543514Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4543657Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4543790Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4543858Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4543954Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4544079Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4544147Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4544245Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4544380Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4544447Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4544587Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4544715Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4544787Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4544880Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4545003Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4545076Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4545166Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4545299Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4545375Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4545464Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4545587Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4545659Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4545748Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4545879Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4545945Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4546035Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4546164Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4546230Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4546319Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4546449Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4546517Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4546611Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4546735Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4546809Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4546906Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4547033Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4547098Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4547194Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4547331Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4547400Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4547499Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4547628Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4547702Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4547836Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4547960Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4548031Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4548121Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4548282Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4548356Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4548446Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4548610Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4548680Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4548770Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4548899Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4548967Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4549058Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4549188Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4549254Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4549354Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4549523Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4549594Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4549694Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4549820Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4549888Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4549988Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4550123Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4550191Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4550290Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4550415Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4550491Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4550580Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4550708Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4550779Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4550869Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4550997Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4551071Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4551161Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4551319Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4551412Z Traceback (most recent call last): 2025-12-04T09:39:37.4551709Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4551800Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4552072Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4552181Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4552499Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4552627Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4552712Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4552723Z 2025-12-04T09:39:37.4552791Z Expected 1 but got 2. 2025-12-04T09:39:37.4552859Z Absolute difference: 1 2025-12-04T09:39:37.4552936Z Relative difference: 1.0 2025-12-04T09:39:37.4552940Z 2025-12-04T09:39:37.4553068Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4553333Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4553337Z 2025-12-04T09:39:37.4553515Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4553647Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4554268Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4554364Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4554531Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4554607Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4554699Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4554825Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4554902Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4554992Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4555122Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4555189Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4555278Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4555443Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4555514Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4555605Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4555734Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4555817Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4555907Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4556035Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4556103Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4556197Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4556322Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4556389Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4556484Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4556608Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4556678Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4556775Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4556900Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4556974Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4557063Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4557184Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4557260Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4557351Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4557476Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4557554Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4557645Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4557769Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4557847Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4557940Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4558070Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4558140Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4558231Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4558361Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4558430Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4558521Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4558705Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4558771Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4558865Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4558999Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4559105Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4559201Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4559326Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4559429Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4559530Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4559656Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4559723Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4559829Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4559956Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4560031Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4560122Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4560245Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4560360Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4560451Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4560576Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4560653Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4560743Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4560870Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4560953Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4561046Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4561183Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4561250Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4561339Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4561471Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4561538Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4561633Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4561764Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4561833Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4561930Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4562057Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4562125Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4562224Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4562347Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4562417Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4562524Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4562650Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4562720Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4562825Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4562952Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4563026Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4563116Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4563242Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4563317Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4563408Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4563532Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4563653Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4563744Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4563877Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4563946Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4564090Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4564225Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4564293Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4564420Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4564562Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4564629Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4564721Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4564851Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4564921Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4565018Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4565142Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4565208Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4565339Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4565464Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4565531Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4565630Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4565753Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4565824Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4565913Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4566035Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4566108Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4566197Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4566330Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4566402Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4566498Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4566622Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4566693Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4566785Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4566913Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4566979Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4567069Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4567195Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4567264Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4567355Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4567483Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4567548Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4567649Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4567771Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4567837Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4567934Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4568058Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4568126Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4568224Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4568392Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4568513Z Traceback (most recent call last): 2025-12-04T09:39:37.4568812Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4568898Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4569174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4569310Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4569651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4569792Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4569878Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4569882Z 2025-12-04T09:39:37.4569953Z Expected 1 but got 2. 2025-12-04T09:39:37.4570022Z Absolute difference: 1 2025-12-04T09:39:37.4570091Z Relative difference: 1.0 2025-12-04T09:39:37.4570096Z 2025-12-04T09:39:37.4570231Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4570440Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4570444Z 2025-12-04T09:39:37.4570603Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4570776Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4570847Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4570946Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4571076Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4571143Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4571248Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4571376Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4571445Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4571542Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4571666Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4571743Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4571834Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4571961Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4572038Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4572129Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4572262Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4572339Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4572430Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4572553Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4572629Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4572730Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4572863Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4572931Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4573023Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4573156Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4573224Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4573315Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4573452Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4573519Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4573611Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4573742Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4573809Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4573963Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4574089Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4574157Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4574254Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4574415Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4574483Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4574583Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4574740Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4574825Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4574916Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4575039Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4575111Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4575203Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4575330Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4575403Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4575491Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4575650Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4575728Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4575817Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4575947Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4576024Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4576118Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4576251Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4576322Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4576425Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4576575Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4576648Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4576748Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4576879Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4576949Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4577048Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4577176Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4577243Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4577341Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4577464Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4577532Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4577630Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4577753Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4577828Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4577919Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4578045Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4578212Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4578305Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4578433Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4578508Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4578600Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4578729Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4578798Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4578889Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4579087Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4579154Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4579245Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4579384Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4579488Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4579580Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4579744Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4579814Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4579911Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4580037Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4580114Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4580320Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4580480Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4580579Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4580826Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4581020Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4581326Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4581528Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4581702Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4581836Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4581965Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4582105Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4582336Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4582460Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4582621Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4582752Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4582872Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4583108Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4583232Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4583354Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4583544Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4583645Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4583770Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4584006Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4584121Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4584280Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4584519Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4584616Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4584774Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4584970Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4585085Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4585252Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4585408Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4585558Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4585667Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4585873Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4586024Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4586146Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4586419Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4586653Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4586819Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4587183Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4587366Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4587497Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4587712Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4587849Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4587961Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4588222Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4588405Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4588589Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4588750Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4588853Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4589049Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4589256Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4589429Z Traceback (most recent call last): 2025-12-04T09:39:37.4589807Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4589940Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4590282Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4590486Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4590868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4591069Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4591187Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4591192Z 2025-12-04T09:39:37.4591326Z Expected 1 but got 2. 2025-12-04T09:39:37.4591412Z Absolute difference: 1 2025-12-04T09:39:37.4591565Z Relative difference: 1.0 2025-12-04T09:39:37.4591569Z 2025-12-04T09:39:37.4591809Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4592055Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4592058Z 2025-12-04T09:39:37.4592254Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4592465Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4592552Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4592874Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4593034Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4593135Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4593295Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4593451Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4593536Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4593800Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4593959Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4594091Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4594215Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4594372Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4594564Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4594702Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4594858Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4595047Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4595171Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4595365Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4595512Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4595691Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4595882Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4595979Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4596163Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4596437Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4596587Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4596773Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4596944Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4597064Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4597220Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4597362Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4597505Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4597724Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4597913Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4598050Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4598177Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4598316Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4598516Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4598640Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4598814Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4598949Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4599071Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4599300Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4599414Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4599553Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4599745Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4599840Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4600039Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4600259Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4600373Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4600543Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4600697Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4600798Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4600935Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4601134Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4601268Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4601425Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4601582Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4601681Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4601827Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4602047Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4602209Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4602330Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4602486Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4602670Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4602780Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4602996Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4603145Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4603270Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4603574Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4603670Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4603830Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4604082Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4604178Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4604299Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4604486Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4604605Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4604787Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4604956Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4605055Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4605211Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4605432Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4605538Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4605727Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4605900Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4606030Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4606171Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4606329Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4606446Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4606620Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4606793Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4606999Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4607137Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4607330Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4607412Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4607578Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4607779Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4607894Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4608017Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4608214Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4608298Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4608514Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4608670Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4608787Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4608939Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4609099Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4609183Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4609400Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4609571Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4609699Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4609820Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4609973Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4610137Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4610333Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4610564Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4610706Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4610826Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4611044Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4611191Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4611346Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4611581Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4611682Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4611802Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4612249Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4612483Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4612681Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4612847Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4612948Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4613122Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4613385Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4613554Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4613732Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4613892Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4614025Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4614164Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4614316Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4614609Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4614737Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4614891Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4615048Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4615171Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4615394Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4615510Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4615632Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4615819Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4615934Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4616057Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4616321Z ______________ DecoratorTests.test_set_stance_eager_then_compile _______________ 2025-12-04T09:39:37.4616446Z Traceback (most recent call last): 2025-12-04T09:39:37.4616824Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1402, in test_set_stance_eager_then_compile 2025-12-04T09:39:37.4616956Z self.assertEqual(cnts.frame_count, 1) 2025-12-04T09:39:37.4617266Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4617423Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4617816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4617991Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4618241Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4618246Z 2025-12-04T09:39:37.4618372Z Expected 1 but got 2. 2025-12-04T09:39:37.4618514Z Absolute difference: 1 2025-12-04T09:39:37.4618602Z Relative difference: 1.0 2025-12-04T09:39:37.4618605Z 2025-12-04T09:39:37.4618907Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4619289Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.4619293Z 2025-12-04T09:39:37.4619515Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4619736Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4619901Z frames [('total', 1), ('ok', 1)] 2025-12-04T09:39:37.4620015Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-12-04T09:39:37.4620367Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4620472Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4620597Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4620787Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4620884Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4621090Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4621277Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4621376Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4621531Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4621683Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4621820Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4622028Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4622200Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4622337Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4622457Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4622696Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4622813Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4622998Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4623169Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4623301Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4623421Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4623610Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4623712Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4623877Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4624082Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4624182Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4624307Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4624513Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4624594Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4624805Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4624963Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4625063Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4625217Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4625387Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4625475Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4625700Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4625856Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4625956Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4626206Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4626364Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4626554Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4626693Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4626892Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4627040Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4627158Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4627312Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4627523Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4627659Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4627862Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4627996Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4628118Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4628307Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4628460Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4628597Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4628803Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4628905Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4629057Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4629198Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4629374Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4629650Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4629806Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4629907Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4630060Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4636668Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4636836Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4637003Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4637227Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4637346Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4637513Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4637703Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4637780Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4637903Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4638048Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4638118Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4638223Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4638353Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4638425Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4638528Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4638656Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4638737Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4638831Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4638958Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4639032Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4639127Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4639267Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4639346Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4639444Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4639578Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4639655Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4639748Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4639880Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4640039Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4640131Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4640260Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4640326Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4640465Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4640597Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4640666Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4640835Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4640965Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4641033Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4641129Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4641253Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4641322Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4641422Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4641564Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4641635Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4641780Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4641906Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4641980Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4642077Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4642203Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4642279Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4642370Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4642494Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4642571Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4642660Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4642797Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4642869Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4642969Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4643109Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4643177Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4643273Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4643407Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4643477Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4643567Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4643699Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4643769Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4643865Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4643989Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4644058Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4644155Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4644280Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4644347Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4644447Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4644585Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4644662Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4644756Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4644880Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4644998Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4645087Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4645213Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4645289Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4645388Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4645547Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4645623Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4645748Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4645944Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.4646024Z Traceback (most recent call last): 2025-12-04T09:39:37.4646380Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4646479Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.4646767Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4646876Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4647251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4647391Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4647488Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4647493Z 2025-12-04T09:39:37.4647570Z Expected 2 but got 4. 2025-12-04T09:39:37.4647640Z Absolute difference: 2 2025-12-04T09:39:37.4647718Z Relative difference: 1.0 2025-12-04T09:39:37.4647722Z 2025-12-04T09:39:37.4647858Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4648142Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4648148Z 2025-12-04T09:39:37.4648326Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4648466Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4648546Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4648612Z unimplemented [] 2025-12-04T09:39:37.4649589Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.4649694Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4649794Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.4649932Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4650003Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4650067Z unimplemented [] 2025-12-04T09:39:37.4651002Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4651103Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4651204Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4651378Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.4651458Z Traceback (most recent call last): 2025-12-04T09:39:37.4651802Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4651939Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.4652219Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4652323Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4652640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4652809Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4652927Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4652932Z 2025-12-04T09:39:37.4652999Z Expected 2 but got 4. 2025-12-04T09:39:37.4653086Z Absolute difference: 2 2025-12-04T09:39:37.4653158Z Relative difference: 1.0 2025-12-04T09:39:37.4653161Z 2025-12-04T09:39:37.4653301Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4653564Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4653570Z 2025-12-04T09:39:37.4653732Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4653864Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4653937Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4654046Z unimplemented [] 2025-12-04T09:39:37.4654997Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.4655094Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4655197Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.4655330Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4655402Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4655466Z unimplemented [] 2025-12-04T09:39:37.4656394Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4656496Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4656592Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4656719Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4656794Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4656866Z unimplemented [] 2025-12-04T09:39:37.4657803Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4657900Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4657992Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4658273Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.4658359Z Traceback (most recent call last): 2025-12-04T09:39:37.4658704Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4658789Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.4659065Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4659231Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4659552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4659687Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4659818Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4659822Z 2025-12-04T09:39:37.4659890Z Expected 2 but got 4. 2025-12-04T09:39:37.4659964Z Absolute difference: 2 2025-12-04T09:39:37.4660069Z Relative difference: 1.0 2025-12-04T09:39:37.4660073Z 2025-12-04T09:39:37.4660203Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4660469Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4660473Z 2025-12-04T09:39:37.4660637Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4660776Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4660848Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4660912Z unimplemented [] 2025-12-04T09:39:37.4661914Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.4662014Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4662116Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.4662244Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4662313Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4662383Z unimplemented [] 2025-12-04T09:39:37.4663338Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4663440Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4663536Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4663661Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4663746Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4663812Z unimplemented [] 2025-12-04T09:39:37.4664757Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4664864Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4664961Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4665094Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4665164Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4665229Z unimplemented [] 2025-12-04T09:39:37.4666175Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4666308Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4666409Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4666582Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.4666659Z Traceback (most recent call last): 2025-12-04T09:39:37.4667073Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4667157Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.4667473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4667575Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4667899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4668037Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4668124Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4668128Z 2025-12-04T09:39:37.4668198Z Expected 2 but got 4. 2025-12-04T09:39:37.4668276Z Absolute difference: 2 2025-12-04T09:39:37.4668347Z Relative difference: 1.0 2025-12-04T09:39:37.4668350Z 2025-12-04T09:39:37.4668521Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4668788Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4668792Z 2025-12-04T09:39:37.4668955Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4669105Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4669175Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4669240Z unimplemented [] 2025-12-04T09:39:37.4670213Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.4670313Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4670413Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.4670540Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4670612Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4670679Z unimplemented [] 2025-12-04T09:39:37.4671632Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4671736Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4671829Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4671961Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4672040Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4672102Z unimplemented [] 2025-12-04T09:39:37.4673055Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4673149Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4673283Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4673415Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4673484Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4673563Z unimplemented [] 2025-12-04T09:39:37.4674550Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4674681Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4674780Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4674909Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4674992Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4675057Z unimplemented [] 2025-12-04T09:39:37.4676034Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4676137Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4676242Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4676421Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.4676496Z Traceback (most recent call last): 2025-12-04T09:39:37.4676830Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4676921Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.4677193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4677295Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4677612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4677738Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4677826Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4677830Z 2025-12-04T09:39:37.4677901Z Expected 2 but got 4. 2025-12-04T09:39:37.4677970Z Absolute difference: 2 2025-12-04T09:39:37.4678057Z Relative difference: 1.0 2025-12-04T09:39:37.4678061Z 2025-12-04T09:39:37.4678191Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4678450Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4678461Z 2025-12-04T09:39:37.4678621Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4678760Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4678837Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4678904Z unimplemented [] 2025-12-04T09:39:37.4679857Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.4679960Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4680057Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.4680189Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4680299Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4680363Z unimplemented [] 2025-12-04T09:39:37.4681313Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4681479Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4681580Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4681708Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4681779Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4681850Z unimplemented [] 2025-12-04T09:39:37.4682800Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4682938Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4683031Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4683166Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4683244Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4683309Z unimplemented [] 2025-12-04T09:39:37.4684262Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4684359Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4684453Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4684585Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4684655Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4684718Z unimplemented [] 2025-12-04T09:39:37.4685672Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4685767Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4685877Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4686006Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4686076Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4686147Z unimplemented [] 2025-12-04T09:39:37.4687096Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4687208Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4687302Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4687484Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.4687571Z Traceback (most recent call last): 2025-12-04T09:39:37.4687945Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4688037Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.4688308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4688444Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4688803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4688930Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4689012Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4689022Z 2025-12-04T09:39:37.4689090Z Expected 2 but got 4. 2025-12-04T09:39:37.4689156Z Absolute difference: 2 2025-12-04T09:39:37.4689233Z Relative difference: 1.0 2025-12-04T09:39:37.4689237Z 2025-12-04T09:39:37.4689367Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4689626Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4689630Z 2025-12-04T09:39:37.4689796Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4689968Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4690046Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4690111Z unimplemented [] 2025-12-04T09:39:37.4691061Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.4691163Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4691256Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.4691388Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4691456Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4691519Z unimplemented [] 2025-12-04T09:39:37.4692481Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4692574Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4692668Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4692797Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4692876Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4692945Z unimplemented [] 2025-12-04T09:39:37.4693893Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4693989Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4694089Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4694214Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4694287Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4694350Z unimplemented [] 2025-12-04T09:39:37.4695293Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4695493Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4695586Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4695716Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4695818Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4695882Z unimplemented [] 2025-12-04T09:39:37.4696830Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4696925Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4697024Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4697186Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4697257Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4697325Z unimplemented [] 2025-12-04T09:39:37.4698369Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4698470Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4698564Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4698689Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4698763Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4698827Z unimplemented [] 2025-12-04T09:39:37.4699769Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4699871Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4699963Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4700148Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.4700226Z Traceback (most recent call last): 2025-12-04T09:39:37.4700556Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4700646Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.4700918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4701025Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4701335Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4701456Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4701544Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4701547Z 2025-12-04T09:39:37.4701614Z Expected 2 but got 4. 2025-12-04T09:39:37.4701683Z Absolute difference: 2 2025-12-04T09:39:37.4701760Z Relative difference: 1.0 2025-12-04T09:39:37.4701764Z 2025-12-04T09:39:37.4701957Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4702219Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4702222Z 2025-12-04T09:39:37.4702381Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4702548Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4702625Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4702688Z unimplemented [] 2025-12-04T09:39:37.4703682Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.4703778Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4703871Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.4704006Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4704085Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4704150Z unimplemented [] 2025-12-04T09:39:37.4705143Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4705240Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4705344Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4705470Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4705540Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4705613Z unimplemented [] 2025-12-04T09:39:37.4706561Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4706664Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4706760Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4706908Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4706977Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4707041Z unimplemented [] 2025-12-04T09:39:37.4707996Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4708094Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4708195Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4708322Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4708392Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4708463Z unimplemented [] 2025-12-04T09:39:37.4709423Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4709566Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4709668Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4709794Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4709908Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4709971Z unimplemented [] 2025-12-04T09:39:37.4710963Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4711066Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4711159Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4711292Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4711362Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4711426Z unimplemented [] 2025-12-04T09:39:37.4712774Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4712899Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4713010Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4713152Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4713223Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4713296Z unimplemented [] 2025-12-04T09:39:37.4714264Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4714372Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4714469Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4714643Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.4714727Z Traceback (most recent call last): 2025-12-04T09:39:37.4715064Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4715149Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.4715435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4715537Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4715852Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4715981Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4716064Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4716068Z 2025-12-04T09:39:37.4716157Z Expected 2 but got 4. 2025-12-04T09:39:37.4716228Z Absolute difference: 2 2025-12-04T09:39:37.4716298Z Relative difference: 1.0 2025-12-04T09:39:37.4716302Z 2025-12-04T09:39:37.4716439Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4716703Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4716781Z 2025-12-04T09:39:37.4716951Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4717083Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4717156Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4717235Z unimplemented [] 2025-12-04T09:39:37.4718326Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.4718431Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4718526Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.4718654Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4718733Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4718797Z unimplemented [] 2025-12-04T09:39:37.4719825Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4719928Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4720022Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4720155Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4720224Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4720288Z unimplemented [] 2025-12-04T09:39:37.4721255Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4721355Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4721454Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4721583Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4721654Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4721725Z unimplemented [] 2025-12-04T09:39:37.4722673Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4722776Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4722868Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4722996Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4723075Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4723139Z unimplemented [] 2025-12-04T09:39:37.4724099Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4724191Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4724337Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4724470Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4724539Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4724609Z unimplemented [] 2025-12-04T09:39:37.4725588Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4725715Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4725818Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4725954Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4726031Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4726097Z unimplemented [] 2025-12-04T09:39:37.4727165Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4727268Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4727363Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4727495Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4727573Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4727639Z unimplemented [] 2025-12-04T09:39:37.4728602Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4728700Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4728802Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4728928Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4728998Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4729074Z unimplemented [] 2025-12-04T09:39:37.4730036Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4730133Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4730232Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4730405Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.4730497Z Traceback (most recent call last): 2025-12-04T09:39:37.4730834Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4730919Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.4731205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4731307Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4731621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4731798Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4731881Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4731885Z 2025-12-04T09:39:37.4731962Z Expected 2 but got 4. 2025-12-04T09:39:37.4732030Z Absolute difference: 2 2025-12-04T09:39:37.4732105Z Relative difference: 1.0 2025-12-04T09:39:37.4732108Z 2025-12-04T09:39:37.4732296Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4732558Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4732562Z 2025-12-04T09:39:37.4732773Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4732909Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4732978Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4733051Z unimplemented [] 2025-12-04T09:39:37.4734003Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.4734141Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4734238Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.4734365Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4734440Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4734503Z unimplemented [] 2025-12-04T09:39:37.4735454Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4735548Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4735638Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4735770Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4735840Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4735902Z unimplemented [] 2025-12-04T09:39:37.4736850Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4736942Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4737041Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4737165Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4737233Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4737314Z unimplemented [] 2025-12-04T09:39:37.4738353Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4738456Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4738548Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4738676Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4738750Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4738858Z unimplemented [] 2025-12-04T09:39:37.4739811Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4739947Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4740073Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4740216Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4740285Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4740349Z unimplemented [] 2025-12-04T09:39:37.4741300Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4741394Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4741528Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4741656Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4741725Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4741798Z unimplemented [] 2025-12-04T09:39:37.4742748Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4742848Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4742941Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4743067Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4743144Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4743208Z unimplemented [] 2025-12-04T09:39:37.4744166Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4744262Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4744357Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4744489Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4744560Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4744629Z unimplemented [] 2025-12-04T09:39:37.4745574Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4745670Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4745769Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4745894Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4745968Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4746032Z unimplemented [] 2025-12-04T09:39:37.4747020Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4747156Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4747248Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4747476Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.4747555Z Traceback (most recent call last): 2025-12-04T09:39:37.4747888Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4747981Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.4748255Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4748357Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4748678Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4748838Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4748930Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4748933Z 2025-12-04T09:39:37.4749004Z Expected 2 but got 4. 2025-12-04T09:39:37.4749075Z Absolute difference: 2 2025-12-04T09:39:37.4749154Z Relative difference: 1.0 2025-12-04T09:39:37.4749158Z 2025-12-04T09:39:37.4749289Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4749548Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4749558Z 2025-12-04T09:39:37.4749727Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4749855Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4749932Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4750007Z unimplemented [] 2025-12-04T09:39:37.4750968Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.4751074Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4751170Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.4751307Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4751376Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4751444Z unimplemented [] 2025-12-04T09:39:37.4752401Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4752498Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4752599Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4752725Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4752793Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4752862Z unimplemented [] 2025-12-04T09:39:37.4753810Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4753953Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4754081Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4754205Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4754280Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4754390Z unimplemented [] 2025-12-04T09:39:37.4755339Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4755435Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4755538Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4755671Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4755774Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4755840Z unimplemented [] 2025-12-04T09:39:37.4756795Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4756889Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4756989Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4757115Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4757183Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4757251Z unimplemented [] 2025-12-04T09:39:37.4758202Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4758303Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4758396Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4758520Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4758597Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4758660Z unimplemented [] 2025-12-04T09:39:37.4759626Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4759723Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4759815Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4759946Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4760014Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4760077Z unimplemented [] 2025-12-04T09:39:37.4761039Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4761171Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4761272Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4761438Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4761507Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4761576Z unimplemented [] 2025-12-04T09:39:37.4762559Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4762662Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4762765Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4762894Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4762968Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4763033Z unimplemented [] 2025-12-04T09:39:37.4764020Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4764116Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4764209Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4764341Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4764411Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4764480Z unimplemented [] 2025-12-04T09:39:37.4765424Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4765521Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4765621Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4765795Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.4765880Z Traceback (most recent call last): 2025-12-04T09:39:37.4766210Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4766296Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.4766571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4766672Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4766982Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4767115Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4767203Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4767207Z 2025-12-04T09:39:37.4767281Z Expected 2 but got 4. 2025-12-04T09:39:37.4767350Z Absolute difference: 2 2025-12-04T09:39:37.4767421Z Relative difference: 1.0 2025-12-04T09:39:37.4767424Z 2025-12-04T09:39:37.4767557Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4767816Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4767860Z 2025-12-04T09:39:37.4768034Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4768169Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4768241Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4768348Z unimplemented [] 2025-12-04T09:39:37.4769334Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.4769436Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4769530Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.4769660Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4769735Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4769800Z unimplemented [] 2025-12-04T09:39:37.4770784Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4770888Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4770980Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4771116Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4771187Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4771249Z unimplemented [] 2025-12-04T09:39:37.4772219Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4772319Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4772417Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4772547Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4772617Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4772688Z unimplemented [] 2025-12-04T09:39:37.4773630Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4773733Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4773825Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4773955Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4774041Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4774106Z unimplemented [] 2025-12-04T09:39:37.4775055Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4775191Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4775285Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4775420Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4775488Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4775552Z unimplemented [] 2025-12-04T09:39:37.4776601Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4776697Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4776795Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4776920Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4776992Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4777062Z unimplemented [] 2025-12-04T09:39:37.4778041Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4778245Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4778339Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4778466Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4778540Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4778602Z unimplemented [] 2025-12-04T09:39:37.4779555Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4779653Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4779744Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4779875Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4779945Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4780007Z unimplemented [] 2025-12-04T09:39:37.4780960Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4781056Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4781153Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4781281Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4781351Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4781432Z unimplemented [] 2025-12-04T09:39:37.4782377Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4782476Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4782615Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4782740Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4782814Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4782877Z unimplemented [] 2025-12-04T09:39:37.4783865Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4783998Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4784090Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4784222Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4784292Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4784359Z unimplemented [] 2025-12-04T09:39:37.4785350Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4785449Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4785551Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4785721Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.4785805Z Traceback (most recent call last): 2025-12-04T09:39:37.4786133Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4786219Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.4786499Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4786610Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4786923Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4787056Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4787140Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4787144Z 2025-12-04T09:39:37.4787218Z Expected 2 but got 4. 2025-12-04T09:39:37.4787287Z Absolute difference: 2 2025-12-04T09:39:37.4787358Z Relative difference: 1.0 2025-12-04T09:39:37.4787361Z 2025-12-04T09:39:37.4787515Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4787780Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4787785Z 2025-12-04T09:39:37.4787954Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4788084Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4788159Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4788233Z unimplemented [] 2025-12-04T09:39:37.4789191Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.4789295Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4789392Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.4789523Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4789643Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4789710Z unimplemented [] 2025-12-04T09:39:37.4790681Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4790864Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4790963Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4791097Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4791165Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4791230Z unimplemented [] 2025-12-04T09:39:37.4792184Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4792317Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4792429Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4792561Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4792630Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4792701Z unimplemented [] 2025-12-04T09:39:37.4793662Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4793769Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4793862Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4793988Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4794066Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4794130Z unimplemented [] 2025-12-04T09:39:37.4795089Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4795182Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4795278Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4795411Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4795480Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4795545Z unimplemented [] 2025-12-04T09:39:37.4796508Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4796603Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4796702Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4796827Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4796938Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4797008Z unimplemented [] 2025-12-04T09:39:37.4797953Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4798085Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4798214Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4798340Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4798415Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4798477Z unimplemented [] 2025-12-04T09:39:37.4799419Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4799513Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4799646Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4799778Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4799847Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4799917Z unimplemented [] 2025-12-04T09:39:37.4800862Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4800957Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4801054Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4801179Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4801256Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4801320Z unimplemented [] 2025-12-04T09:39:37.4802265Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4802365Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4802468Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4802604Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4802673Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4802736Z unimplemented [] 2025-12-04T09:39:37.4803700Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4803795Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4803897Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4804023Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4804094Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4804242Z unimplemented [] 2025-12-04T09:39:37.4805188Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4805320Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4805418Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4805579Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4805658Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4805721Z unimplemented [] 2025-12-04T09:39:37.4806668Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4806770Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4806895Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4807080Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.4807158Z Traceback (most recent call last): 2025-12-04T09:39:37.4807498Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4807591Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.4807864Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4807970Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4808290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4808414Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4808505Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4808509Z 2025-12-04T09:39:37.4808580Z Expected 2 but got 4. 2025-12-04T09:39:37.4808650Z Absolute difference: 2 2025-12-04T09:39:37.4808737Z Relative difference: 1.0 2025-12-04T09:39:37.4808741Z 2025-12-04T09:39:37.4808874Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4809139Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4809143Z 2025-12-04T09:39:37.4809308Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4809436Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4809514Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4809578Z unimplemented [] 2025-12-04T09:39:37.4810532Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.4810635Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4810730Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.4810863Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4810932Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4810995Z unimplemented [] 2025-12-04T09:39:37.4811951Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4812423Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4812610Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4812743Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4812816Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4812949Z unimplemented [] 2025-12-04T09:39:37.4813911Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4814021Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4814117Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4814248Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4814388Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4814455Z unimplemented [] 2025-12-04T09:39:37.4815406Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4815505Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4815596Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4815735Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4815806Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4815871Z unimplemented [] 2025-12-04T09:39:37.4816820Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4816916Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4817015Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4817143Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4817214Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4817285Z unimplemented [] 2025-12-04T09:39:37.4818329Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4818436Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4818531Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4818658Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4818734Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4818800Z unimplemented [] 2025-12-04T09:39:37.4819750Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4819916Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4820022Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4820194Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4820263Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4820335Z unimplemented [] 2025-12-04T09:39:37.4821314Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4821412Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4821513Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4821647Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4821721Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4821824Z unimplemented [] 2025-12-04T09:39:37.4822757Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4822858Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4822950Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4823081Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4823154Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4823216Z unimplemented [] 2025-12-04T09:39:37.4824152Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4824247Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4824343Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4824470Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4824540Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4824620Z unimplemented [] 2025-12-04T09:39:37.4825551Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4825649Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4825750Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4825877Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4825953Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4826016Z unimplemented [] 2025-12-04T09:39:37.4826945Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4827087Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4827180Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4827314Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4827419Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4827493Z unimplemented [] 2025-12-04T09:39:37.4828474Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4828570Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4828669Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4828798Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4828866Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4828936Z unimplemented [] 2025-12-04T09:39:37.4829933Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4830038Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4830130Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4830301Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.4830388Z Traceback (most recent call last): 2025-12-04T09:39:37.4830732Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4830817Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.4831115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4831223Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4831550Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4831680Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4831766Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4831770Z 2025-12-04T09:39:37.4831848Z Expected 2 but got 4. 2025-12-04T09:39:37.4831918Z Absolute difference: 2 2025-12-04T09:39:37.4831989Z Relative difference: 1.0 2025-12-04T09:39:37.4832000Z 2025-12-04T09:39:37.4832129Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4832394Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4832397Z 2025-12-04T09:39:37.4832575Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4832713Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4832787Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4832864Z unimplemented [] 2025-12-04T09:39:37.4833839Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.4833984Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4834082Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.4834213Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4834289Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4834401Z unimplemented [] 2025-12-04T09:39:37.4835399Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4835501Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4835596Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4835732Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4835804Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4835869Z unimplemented [] 2025-12-04T09:39:37.4836860Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4836970Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4837073Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4837205Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4837272Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4837345Z unimplemented [] 2025-12-04T09:39:37.4838303Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4838408Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4838505Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4838632Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4838706Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4838770Z unimplemented [] 2025-12-04T09:39:37.4839722Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4839816Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4839910Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4840042Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4840112Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4840183Z unimplemented [] 2025-12-04T09:39:37.4841124Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4841216Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4841369Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4841497Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4841569Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4841631Z unimplemented [] 2025-12-04T09:39:37.4842609Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4842827Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4842918Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4843049Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4843120Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4843181Z unimplemented [] 2025-12-04T09:39:37.4844162Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4844258Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4844358Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4844486Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4844556Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4844624Z unimplemented [] 2025-12-04T09:39:37.4845565Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4845673Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4845774Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4845900Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4845975Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4846039Z unimplemented [] 2025-12-04T09:39:37.4846977Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4847080Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4847173Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4847305Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4847377Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4847441Z unimplemented [] 2025-12-04T09:39:37.4848387Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4848480Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4848578Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4848757Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4848828Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4848897Z unimplemented [] 2025-12-04T09:39:37.4849876Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4850014Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4850108Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4850237Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4850312Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4850378Z unimplemented [] 2025-12-04T09:39:37.4851355Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4851459Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4851551Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4851684Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4851752Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4851817Z unimplemented [] 2025-12-04T09:39:37.4852771Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4852865Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4852966Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4853104Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4853174Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4853244Z unimplemented [] 2025-12-04T09:39:37.4854189Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4854290Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4854382Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4854555Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.4854641Z Traceback (most recent call last): 2025-12-04T09:39:37.4854985Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4855081Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.4855359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4855462Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4855782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4855909Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4856037Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4856041Z 2025-12-04T09:39:37.4856118Z Expected 2 but got 4. 2025-12-04T09:39:37.4856197Z Absolute difference: 2 2025-12-04T09:39:37.4856275Z Relative difference: 1.0 2025-12-04T09:39:37.4856278Z 2025-12-04T09:39:37.4856412Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4856711Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4856714Z 2025-12-04T09:39:37.4856934Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4857066Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4857137Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4857212Z unimplemented [] 2025-12-04T09:39:37.4858257Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.4858409Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4858511Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.4858639Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4858730Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4858797Z unimplemented [] 2025-12-04T09:39:37.4859753Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4859849Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4859944Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4860076Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4860149Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4860218Z unimplemented [] 2025-12-04T09:39:37.4861160Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4861254Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4861356Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4861484Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4861557Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4861620Z unimplemented [] 2025-12-04T09:39:37.4862565Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4862665Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4862757Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4862886Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4862953Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4863071Z unimplemented [] 2025-12-04T09:39:37.4864020Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4864169Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4864276Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4864439Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4864510Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4864579Z unimplemented [] 2025-12-04T09:39:37.4865521Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4865620Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4865753Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4865887Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4865965Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4866028Z unimplemented [] 2025-12-04T09:39:37.4866966Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4867070Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4867162Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4867292Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4867362Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4867427Z unimplemented [] 2025-12-04T09:39:37.4868397Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4868493Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4868593Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4868720Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4868791Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4868863Z unimplemented [] 2025-12-04T09:39:37.4869811Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4869916Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4870011Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4870138Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4870216Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4870281Z unimplemented [] 2025-12-04T09:39:37.4871255Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4871434Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4871529Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4871710Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4871785Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4871849Z unimplemented [] 2025-12-04T09:39:37.4872804Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4872900Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4873002Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4873176Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4873250Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4873326Z unimplemented [] 2025-12-04T09:39:37.4874270Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4874370Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4874464Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4874591Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4874669Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4874731Z unimplemented [] 2025-12-04T09:39:37.4875687Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4875782Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4875875Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4876006Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4876090Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4876155Z unimplemented [] 2025-12-04T09:39:37.4877110Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4877209Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4877311Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4877440Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4877510Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4877583Z unimplemented [] 2025-12-04T09:39:37.4878528Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4878674Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4878801Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4878931Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4879043Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4879108Z unimplemented [] 2025-12-04T09:39:37.4880056Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4880150Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4880244Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4880441Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.4880558Z Traceback (most recent call last): 2025-12-04T09:39:37.4880909Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4880996Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.4881277Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4881390Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4881711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4881839Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4881932Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4881935Z 2025-12-04T09:39:37.4882001Z Expected 2 but got 4. 2025-12-04T09:39:37.4882073Z Absolute difference: 2 2025-12-04T09:39:37.4882143Z Relative difference: 1.0 2025-12-04T09:39:37.4882150Z 2025-12-04T09:39:37.4882279Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4882550Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4882554Z 2025-12-04T09:39:37.4882717Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4882854Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4882923Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4882990Z unimplemented [] 2025-12-04T09:39:37.4883954Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.4884054Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4884152Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.4884280Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4884351Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4884423Z unimplemented [] 2025-12-04T09:39:37.4885368Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4885523Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4885627Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4885756Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4885896Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4885963Z unimplemented [] 2025-12-04T09:39:37.4886948Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4887053Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4887147Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4887277Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4887346Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4887409Z unimplemented [] 2025-12-04T09:39:37.4888396Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4888493Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4888591Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4888716Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4888788Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4888856Z unimplemented [] 2025-12-04T09:39:37.4889799Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4889899Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4889995Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4890119Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4890205Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4890270Z unimplemented [] 2025-12-04T09:39:37.4891213Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4891317Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4891411Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4891550Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4891620Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4891684Z unimplemented [] 2025-12-04T09:39:37.4892634Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4892772Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4892872Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4893000Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4893108Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4893178Z unimplemented [] 2025-12-04T09:39:37.4894162Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4894266Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4894360Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4894490Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4894566Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4894632Z unimplemented [] 2025-12-04T09:39:37.4895634Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4895734Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4895829Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4895963Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4896031Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4896096Z unimplemented [] 2025-12-04T09:39:37.4897048Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4897147Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4897249Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4897379Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4897449Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4897521Z unimplemented [] 2025-12-04T09:39:37.4898578Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4898683Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4898779Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4898910Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4898986Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4899051Z unimplemented [] 2025-12-04T09:39:37.4900009Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4900161Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4900258Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4900393Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4900462Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4900581Z unimplemented [] 2025-12-04T09:39:37.4901562Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4901659Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4901767Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4901897Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4901973Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4902038Z unimplemented [] 2025-12-04T09:39:37.4903013Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4903119Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4903212Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4903342Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4903410Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4903472Z unimplemented [] 2025-12-04T09:39:37.4904437Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4904531Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4904638Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4904766Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4904835Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4904902Z unimplemented [] 2025-12-04T09:39:37.4905842Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4905936Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4906033Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4906160Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4906235Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4906299Z unimplemented [] 2025-12-04T09:39:37.4907243Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4907345Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4907491Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4907672Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.4907752Z Traceback (most recent call last): 2025-12-04T09:39:37.4908088Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4908216Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.4908525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4908629Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4908947Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4909071Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4909161Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4909165Z 2025-12-04T09:39:37.4909231Z Expected 2 but got 4. 2025-12-04T09:39:37.4909299Z Absolute difference: 2 2025-12-04T09:39:37.4909382Z Relative difference: 1.0 2025-12-04T09:39:37.4909387Z 2025-12-04T09:39:37.4909516Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4909822Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4909827Z 2025-12-04T09:39:37.4909990Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4910121Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4910196Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4910260Z unimplemented [] 2025-12-04T09:39:37.4911217Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.4911324Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4911422Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.4911558Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4911628Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4911689Z unimplemented [] 2025-12-04T09:39:37.4913048Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4913161Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4913263Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4913393Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4913464Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4913544Z unimplemented [] 2025-12-04T09:39:37.4914503Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4914607Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4914702Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4914981Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4915058Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4915121Z unimplemented [] 2025-12-04T09:39:37.4916084Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4916295Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4916391Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4916525Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4916594Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4916657Z unimplemented [] 2025-12-04T09:39:37.4917676Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4917777Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4917877Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4918004Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4918074Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4918142Z unimplemented [] 2025-12-04T09:39:37.4919088Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4919193Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4919287Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4919416Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4919495Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4919559Z unimplemented [] 2025-12-04T09:39:37.4920515Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4920612Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4920717Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4920853Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4920923Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4920994Z unimplemented [] 2025-12-04T09:39:37.4921949Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4922045Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4922145Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4922271Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4922390Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4922456Z unimplemented [] 2025-12-04T09:39:37.4923400Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4923548Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4923681Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4923817Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4923888Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4923951Z unimplemented [] 2025-12-04T09:39:37.4924902Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4925031Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4925134Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4925263Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4925333Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4925402Z unimplemented [] 2025-12-04T09:39:37.4926346Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4926446Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4926539Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4926664Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4926743Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4926805Z unimplemented [] 2025-12-04T09:39:37.4927753Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4927852Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4927946Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4928076Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4928144Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4928207Z unimplemented [] 2025-12-04T09:39:37.4929162Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4929257Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4929353Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4929479Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4929548Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4929662Z unimplemented [] 2025-12-04T09:39:37.4930612Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4931241Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4931370Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4931502Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4931578Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4931643Z unimplemented [] 2025-12-04T09:39:37.4932595Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4932697Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4932825Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4932970Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4933048Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4933112Z unimplemented [] 2025-12-04T09:39:37.4934063Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4934159Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4934258Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4934383Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4934452Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4934525Z unimplemented [] 2025-12-04T09:39:37.4935471Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4935572Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4935664Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4935793Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4935870Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4935936Z unimplemented [] 2025-12-04T09:39:37.4936891Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4936989Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4937082Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4937261Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.4937342Z Traceback (most recent call last): 2025-12-04T09:39:37.4937681Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4937864Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.4938230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4938348Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4938713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4938877Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4938970Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4938975Z 2025-12-04T09:39:37.4939045Z Expected 2 but got 4. 2025-12-04T09:39:37.4939120Z Absolute difference: 2 2025-12-04T09:39:37.4939193Z Relative difference: 1.0 2025-12-04T09:39:37.4939197Z 2025-12-04T09:39:37.4939331Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4939601Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4939605Z 2025-12-04T09:39:37.4939768Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4939959Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4940045Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4940111Z unimplemented [] 2025-12-04T09:39:37.4941106Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.4941203Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4941309Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.4941443Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4941514Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4941585Z unimplemented [] 2025-12-04T09:39:37.4942540Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4942639Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4942740Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4942869Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4942944Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4943012Z unimplemented [] 2025-12-04T09:39:37.4943953Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4944055Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4944152Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4944286Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4944356Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4944421Z unimplemented [] 2025-12-04T09:39:37.4945370Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4945514Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4945655Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4945783Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4945854Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4945959Z unimplemented [] 2025-12-04T09:39:37.4946903Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4947004Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4947097Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4947223Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4947298Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4947397Z unimplemented [] 2025-12-04T09:39:37.4948351Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4948466Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4948564Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4948700Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4948771Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4948837Z unimplemented [] 2025-12-04T09:39:37.4949781Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4949880Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4949979Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4950106Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4950174Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4950242Z unimplemented [] 2025-12-04T09:39:37.4951182Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4951283Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4951375Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4951501Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4951580Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4951645Z unimplemented [] 2025-12-04T09:39:37.4952589Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4952739Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4952833Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4953004Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4953073Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4953137Z unimplemented [] 2025-12-04T09:39:37.4954126Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4954224Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4954325Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4954456Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4954525Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4954594Z unimplemented [] 2025-12-04T09:39:37.4955570Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4955671Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4955765Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4955890Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4955969Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4956033Z unimplemented [] 2025-12-04T09:39:37.4956981Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4957078Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4957172Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4957302Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4957371Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4957433Z unimplemented [] 2025-12-04T09:39:37.4958390Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4958490Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4958592Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4958718Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4958789Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4958861Z unimplemented [] 2025-12-04T09:39:37.4959802Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4959952Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4960046Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4960175Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4960373Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4960437Z unimplemented [] 2025-12-04T09:39:37.4961421Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4961517Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4961612Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4961743Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4961814Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4961884Z unimplemented [] 2025-12-04T09:39:37.4962862Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4962959Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4968846Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4969028Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4969106Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4969188Z unimplemented [] 2025-12-04T09:39:37.4970179Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4970297Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4970399Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4970536Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4970615Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4970679Z unimplemented [] 2025-12-04T09:39:37.4971630Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4971730Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4971826Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4971959Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4972027Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4972095Z unimplemented [] 2025-12-04T09:39:37.4973031Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4973212Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4973314Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4973496Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.4973582Z Traceback (most recent call last): 2025-12-04T09:39:37.4973980Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4974072Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.4974434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.4974547Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.4974879Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.4975023Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.4975110Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.4975115Z 2025-12-04T09:39:37.4975189Z Expected 2 but got 4. 2025-12-04T09:39:37.4975257Z Absolute difference: 2 2025-12-04T09:39:37.4975328Z Relative difference: 1.0 2025-12-04T09:39:37.4975332Z 2025-12-04T09:39:37.4975521Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.4975795Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.4975799Z 2025-12-04T09:39:37.4975967Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.4976113Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4976186Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.4976258Z unimplemented [] 2025-12-04T09:39:37.4977225Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.4977332Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.4977438Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.4977569Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4977646Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4977711Z unimplemented [] 2025-12-04T09:39:37.4978754Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4978859Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4978953Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4979086Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4979157Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4979221Z unimplemented [] 2025-12-04T09:39:37.4980170Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4980275Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4980430Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4980556Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4980624Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4980692Z unimplemented [] 2025-12-04T09:39:37.4981671Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4981808Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4981900Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4982028Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4982102Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4982167Z unimplemented [] 2025-12-04T09:39:37.4983144Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4983247Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4983340Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4983478Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4983549Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4983614Z unimplemented [] 2025-12-04T09:39:37.4984590Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4984690Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4984793Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4984921Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4984992Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4985064Z unimplemented [] 2025-12-04T09:39:37.4986012Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4986116Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4986209Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4986334Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4986412Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4986477Z unimplemented [] 2025-12-04T09:39:37.4987431Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4987526Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4987631Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4987808Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4987878Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4987951Z unimplemented [] 2025-12-04T09:39:37.4988940Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4989072Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4989172Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4989301Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4989371Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4989443Z unimplemented [] 2025-12-04T09:39:37.4990420Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4990524Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4990618Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4990745Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4990823Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4990887Z unimplemented [] 2025-12-04T09:39:37.4991838Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4991935Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4992038Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4992178Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4992246Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4992308Z unimplemented [] 2025-12-04T09:39:37.4993258Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4993353Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4993450Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4993575Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4993648Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4993711Z unimplemented [] 2025-12-04T09:39:37.4994658Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4994761Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4994857Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4994987Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4995122Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4995186Z unimplemented [] 2025-12-04T09:39:37.4996129Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4996314Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4996418Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4996553Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4996622Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4996692Z unimplemented [] 2025-12-04T09:39:37.4997641Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4997780Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4997884Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4998010Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4998088Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4998151Z unimplemented [] 2025-12-04T09:39:37.4999096Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.4999196Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.4999287Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.4999424Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.4999495Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.4999557Z unimplemented [] 2025-12-04T09:39:37.5000501Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5000593Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5000693Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5000832Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5000907Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5000974Z unimplemented [] 2025-12-04T09:39:37.5001913Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5002015Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5002105Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5002230Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5002304Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5002408Z unimplemented [] 2025-12-04T09:39:37.5003359Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5003495Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5003621Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5003753Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5003823Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5003885Z unimplemented [] 2025-12-04T09:39:37.5004842Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5004937Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5005070Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5005244Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.5005324Z Traceback (most recent call last): 2025-12-04T09:39:37.5005675Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5005762Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.5006039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.5006151Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.5006466Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.5006604Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.5006692Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.5006699Z 2025-12-04T09:39:37.5006768Z Expected 2 but got 4. 2025-12-04T09:39:37.5006844Z Absolute difference: 2 2025-12-04T09:39:37.5006915Z Relative difference: 1.0 2025-12-04T09:39:37.5006918Z 2025-12-04T09:39:37.5007058Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.5007318Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5007322Z 2025-12-04T09:39:37.5007489Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.5007626Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5007698Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.5007763Z unimplemented [] 2025-12-04T09:39:37.5008723Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.5008821Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.5008924Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.5009051Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5009124Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5009194Z unimplemented [] 2025-12-04T09:39:37.5010139Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5010321Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5010414Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5010540Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5010652Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5010718Z unimplemented [] 2025-12-04T09:39:37.5011681Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5011777Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5011870Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5012351Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5012440Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5012515Z unimplemented [] 2025-12-04T09:39:37.5013501Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5013600Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5013701Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5013826Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5013911Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5013975Z unimplemented [] 2025-12-04T09:39:37.5014919Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5015020Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5015111Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5015237Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5015312Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5015376Z unimplemented [] 2025-12-04T09:39:37.5016331Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5016422Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5016517Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5016649Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5016717Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5016785Z unimplemented [] 2025-12-04T09:39:37.5017727Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5017909Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5018141Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5018279Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5018356Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5018487Z unimplemented [] 2025-12-04T09:39:37.5019432Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5019540Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5019634Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5019768Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5019880Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5019949Z unimplemented [] 2025-12-04T09:39:37.5020897Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5020989Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5021091Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5021228Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5021296Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5021363Z unimplemented [] 2025-12-04T09:39:37.5022298Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5022397Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5022491Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5022618Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5022691Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5022755Z unimplemented [] 2025-12-04T09:39:37.5023702Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5023802Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5023894Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5024026Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5024097Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5024159Z unimplemented [] 2025-12-04T09:39:37.5025107Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5025250Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5025349Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5025534Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5025602Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5025671Z unimplemented [] 2025-12-04T09:39:37.5026652Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5026757Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5026849Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5026974Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5027050Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5027112Z unimplemented [] 2025-12-04T09:39:37.5028094Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5028198Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5028289Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5028419Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5028501Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5028567Z unimplemented [] 2025-12-04T09:39:37.5029522Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5029618Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5029715Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5029840Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5029909Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5029980Z unimplemented [] 2025-12-04T09:39:37.5030918Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5031023Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5031115Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5031239Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5031316Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5031379Z unimplemented [] 2025-12-04T09:39:37.5032332Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5032472Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5032565Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5032700Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5032815Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5032879Z unimplemented [] 2025-12-04T09:39:37.5033858Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5033952Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5034063Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5034191Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5034259Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5034330Z unimplemented [] 2025-12-04T09:39:37.5035311Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5035422Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5035515Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5035641Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5035716Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5035791Z unimplemented [] 2025-12-04T09:39:37.5036741Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5036835Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5036926Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5037058Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5037124Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5037190Z unimplemented [] 2025-12-04T09:39:37.5038128Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5038221Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5038323Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5038497Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.5038580Z Traceback (most recent call last): 2025-12-04T09:39:37.5038925Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5039019Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.5039301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.5039446Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.5039761Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.5039896Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.5039983Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.5040025Z 2025-12-04T09:39:37.5040108Z Expected 2 but got 4. 2025-12-04T09:39:37.5040181Z Absolute difference: 2 2025-12-04T09:39:37.5040254Z Relative difference: 1.0 2025-12-04T09:39:37.5040257Z 2025-12-04T09:39:37.5040437Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.5040711Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5040715Z 2025-12-04T09:39:37.5040884Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.5041014Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5041087Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.5041167Z unimplemented [] 2025-12-04T09:39:37.5042177Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.5042284Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.5042389Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.5042521Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5042595Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5042657Z unimplemented [] 2025-12-04T09:39:37.5043608Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5043715Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5043807Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5043942Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5044012Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5044074Z unimplemented [] 2025-12-04T09:39:37.5045024Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5045119Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5045217Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5045346Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5045417Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5045485Z unimplemented [] 2025-12-04T09:39:37.5046435Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5046534Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5046679Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5046804Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5046879Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5046942Z unimplemented [] 2025-12-04T09:39:37.5047935Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5048063Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5048154Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5048287Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5048358Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5048422Z unimplemented [] 2025-12-04T09:39:37.5049409Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5049505Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5049606Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5049734Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5049802Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5049875Z unimplemented [] 2025-12-04T09:39:37.5050832Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5050934Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5051028Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5051154Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5051232Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5051298Z unimplemented [] 2025-12-04T09:39:37.5052248Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5052343Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5052436Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5052567Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5052640Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5052704Z unimplemented [] 2025-12-04T09:39:37.5053656Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5053751Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5053852Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5054048Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5054119Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5054198Z unimplemented [] 2025-12-04T09:39:37.5055189Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5055331Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5055424Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5055559Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5055628Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5055693Z unimplemented [] 2025-12-04T09:39:37.5056677Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5056774Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5056874Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5057002Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5057072Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5057141Z unimplemented [] 2025-12-04T09:39:37.5058181Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5058289Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5058383Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5058515Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5058591Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5058655Z unimplemented [] 2025-12-04T09:39:37.5059594Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5059701Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5059794Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5059938Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5060006Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5060068Z unimplemented [] 2025-12-04T09:39:37.5061018Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5061111Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5061219Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5061345Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5061457Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5061523Z unimplemented [] 2025-12-04T09:39:37.5062475Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5062644Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5062738Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5062864Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5062937Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5062999Z unimplemented [] 2025-12-04T09:39:37.5063940Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5064076Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5064171Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5064304Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5064376Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5064440Z unimplemented [] 2025-12-04T09:39:37.5065386Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5065484Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5065584Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5065721Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5065791Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5065859Z unimplemented [] 2025-12-04T09:39:37.5066802Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5066907Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5067005Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5067129Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5067205Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5067271Z unimplemented [] 2025-12-04T09:39:37.5068221Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5068315Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5068409Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5068541Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5068656Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5068721Z unimplemented [] 2025-12-04T09:39:37.5069673Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5069817Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5069951Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5070079Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5070149Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5070221Z unimplemented [] 2025-12-04T09:39:37.5071166Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5071272Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5071407Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5071537Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5071613Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5071678Z unimplemented [] 2025-12-04T09:39:37.5072622Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5072718Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5072810Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5072990Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.5073073Z Traceback (most recent call last): 2025-12-04T09:39:37.5073417Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5073504Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.5073778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.5073890Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.5074202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.5074330Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.5074423Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.5074427Z 2025-12-04T09:39:37.5074495Z Expected 2 but got 4. 2025-12-04T09:39:37.5074570Z Absolute difference: 2 2025-12-04T09:39:37.5074642Z Relative difference: 1.0 2025-12-04T09:39:37.5074649Z 2025-12-04T09:39:37.5074777Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.5075053Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5075058Z 2025-12-04T09:39:37.5075223Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.5075360Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5075430Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.5075503Z unimplemented [] 2025-12-04T09:39:37.5076465Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.5076638Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.5076738Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.5076900Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5076971Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5077041Z unimplemented [] 2025-12-04T09:39:37.5077988Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5078093Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5078187Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5078371Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5078453Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5078518Z unimplemented [] 2025-12-04T09:39:37.5079477Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5079578Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5079675Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5079812Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5079880Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5079943Z unimplemented [] 2025-12-04T09:39:37.5080902Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5081000Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5081102Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5081228Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5081297Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5081364Z unimplemented [] 2025-12-04T09:39:37.5082308Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5082407Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5082500Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5082623Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5082699Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5082761Z unimplemented [] 2025-12-04T09:39:37.5083704Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5083925Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5084055Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5084187Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5084255Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5084353Z unimplemented [] 2025-12-04T09:39:37.5085302Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5085396Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5085493Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5085619Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5085721Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5085794Z unimplemented [] 2025-12-04T09:39:37.5086742Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5086840Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5086931Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5087057Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5087131Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5087193Z unimplemented [] 2025-12-04T09:39:37.5088140Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5088235Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5088327Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5088468Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5088538Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5088603Z unimplemented [] 2025-12-04T09:39:37.5089557Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5089651Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5089748Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5089874Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5089942Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5090011Z unimplemented [] 2025-12-04T09:39:37.5090967Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5091118Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5091214Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5091376Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5091450Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5091512Z unimplemented [] 2025-12-04T09:39:37.5092499Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5092594Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5092687Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5092819Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5092887Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5092991Z unimplemented [] 2025-12-04T09:39:37.5093935Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5094028Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5094127Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5094251Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5094331Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5094404Z unimplemented [] 2025-12-04T09:39:37.5095346Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5095446Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5095539Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5095671Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5095740Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5095803Z unimplemented [] 2025-12-04T09:39:37.5096751Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5096854Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5096953Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5097081Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5097149Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5097225Z unimplemented [] 2025-12-04T09:39:37.5098255Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5098392Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5098491Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5098632Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5098746Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5098812Z unimplemented [] 2025-12-04T09:39:37.5099793Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5099895Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5099989Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5100121Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5100190Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5100254Z unimplemented [] 2025-12-04T09:39:37.5101242Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5101339Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5101436Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5101561Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5101632Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5101707Z unimplemented [] 2025-12-04T09:39:37.5102657Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5102760Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5102856Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5102982Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5103059Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5103122Z unimplemented [] 2025-12-04T09:39:37.5104065Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5104165Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5104259Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5104391Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5104459Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5104522Z unimplemented [] 2025-12-04T09:39:37.5105477Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5105620Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5105722Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5105849Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5105957Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5106026Z unimplemented [] 2025-12-04T09:39:37.5107024Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5107126Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5107218Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5107345Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5107420Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5107481Z unimplemented [] 2025-12-04T09:39:37.5108466Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5108565Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5108656Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5108835Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.5108912Z Traceback (most recent call last): 2025-12-04T09:39:37.5109253Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5109343Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.5109614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.5109727Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.5110038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.5110163Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.5110255Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.5110258Z 2025-12-04T09:39:37.5110325Z Expected 2 but got 4. 2025-12-04T09:39:37.5110408Z Absolute difference: 2 2025-12-04T09:39:37.5110480Z Relative difference: 1.0 2025-12-04T09:39:37.5110483Z 2025-12-04T09:39:37.5110612Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.5110878Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5110881Z 2025-12-04T09:39:37.5111041Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.5111169Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5111250Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.5111313Z unimplemented [] 2025-12-04T09:39:37.5112461Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.5112564Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.5112734Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.5112867Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5112937Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5113009Z unimplemented [] 2025-12-04T09:39:37.5114030Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5114175Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5114274Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5114402Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5114477Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5114540Z unimplemented [] 2025-12-04T09:39:37.5115547Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5115657Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5115754Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5115887Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5115959Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5116023Z unimplemented [] 2025-12-04T09:39:37.5116967Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5117064Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5117166Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5117291Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5117364Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5117437Z unimplemented [] 2025-12-04T09:39:37.5118374Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5118474Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5118568Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5118693Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5118771Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5118836Z unimplemented [] 2025-12-04T09:39:37.5119791Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5119892Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5119984Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5120159Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5120229Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5120292Z unimplemented [] 2025-12-04T09:39:37.5121277Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5121405Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5121503Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5121631Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5121700Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5121770Z unimplemented [] 2025-12-04T09:39:37.5122750Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5122854Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5122945Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5123082Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5123161Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5123226Z unimplemented [] 2025-12-04T09:39:37.5124168Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5124270Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5124365Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5124504Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5124572Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5124634Z unimplemented [] 2025-12-04T09:39:37.5125580Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5125672Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5125769Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5125895Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5125962Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5126034Z unimplemented [] 2025-12-04T09:39:37.5126974Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5127075Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5127166Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5127289Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5127413Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5127480Z unimplemented [] 2025-12-04T09:39:37.5128425Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5128588Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5128679Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5128810Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5128877Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5128939Z unimplemented [] 2025-12-04T09:39:37.5129931Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5130029Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5130126Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5130254Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5130322Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5130389Z unimplemented [] 2025-12-04T09:39:37.5131329Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5131441Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5131535Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5131662Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5131736Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5131800Z unimplemented [] 2025-12-04T09:39:37.5132751Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5132843Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5132936Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5133067Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5133133Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5133202Z unimplemented [] 2025-12-04T09:39:37.5134146Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5134240Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5134338Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5134463Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5134586Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5134649Z unimplemented [] 2025-12-04T09:39:37.5135593Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5135745Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5135872Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5136004Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5136073Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5136139Z unimplemented [] 2025-12-04T09:39:37.5137090Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5137220Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5137315Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5137447Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5137517Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5137587Z unimplemented [] 2025-12-04T09:39:37.5138620Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5138715Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5138814Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5138938Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5139016Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5139079Z unimplemented [] 2025-12-04T09:39:37.5140023Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5140121Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5140216Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5140351Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5140421Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5140482Z unimplemented [] 2025-12-04T09:39:37.5141452Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5141548Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5141646Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5141773Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5141842Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5141970Z unimplemented [] 2025-12-04T09:39:37.5142909Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5143045Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5143136Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5143308Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5143396Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5143462Z unimplemented [] 2025-12-04T09:39:37.5144407Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5144520Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5144652Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5144797Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5144875Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5144939Z unimplemented [] 2025-12-04T09:39:37.5145888Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5145981Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5146080Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5146251Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.5146330Z Traceback (most recent call last): 2025-12-04T09:39:37.5146675Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5146760Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.5147042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.5147144Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.5147454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.5147587Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.5147676Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.5147680Z 2025-12-04T09:39:37.5147746Z Expected 2 but got 4. 2025-12-04T09:39:37.5147822Z Absolute difference: 2 2025-12-04T09:39:37.5147893Z Relative difference: 1.0 2025-12-04T09:39:37.5147897Z 2025-12-04T09:39:37.5148043Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.5148312Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5148316Z 2025-12-04T09:39:37.5148480Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.5148614Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5148683Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.5148746Z unimplemented [] 2025-12-04T09:39:37.5149700Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.5149849Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.5149985Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.5150112Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5150215Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5150286Z unimplemented [] 2025-12-04T09:39:37.5151231Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5151335Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5151429Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5151554Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5151663Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5151726Z unimplemented [] 2025-12-04T09:39:37.5152681Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5152784Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5152878Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5153013Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5153081Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5153151Z unimplemented [] 2025-12-04T09:39:37.5154099Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5154193Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5154297Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5154420Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5154493Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5154560Z unimplemented [] 2025-12-04T09:39:37.5155512Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5155612Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5155703Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5155837Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5155906Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5155970Z unimplemented [] 2025-12-04T09:39:37.5156919Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5157062Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5157157Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5157326Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5157394Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5157466Z unimplemented [] 2025-12-04T09:39:37.5158449Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5158545Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5158646Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5158773Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5158859Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5158961Z unimplemented [] 2025-12-04T09:39:37.5159905Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5160007Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5160100Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5160234Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5160304Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5160367Z unimplemented [] 2025-12-04T09:39:37.5161314Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5161410Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5161507Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5161635Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5161705Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5161775Z unimplemented [] 2025-12-04T09:39:37.5162714Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5162818Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5162910Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5163041Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5163118Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5163183Z unimplemented [] 2025-12-04T09:39:37.5164135Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5164308Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5164403Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5164539Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5164644Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5164707Z unimplemented [] 2025-12-04T09:39:37.5165695Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5165790Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5165892Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5166018Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5166087Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5166158Z unimplemented [] 2025-12-04T09:39:37.5167145Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5167250Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5167343Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5167470Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5167543Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5167605Z unimplemented [] 2025-12-04T09:39:37.5168556Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5168651Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5168744Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5168875Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5168942Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5169004Z unimplemented [] 2025-12-04T09:39:37.5169950Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5170045Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5170143Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5170268Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5170337Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5170419Z unimplemented [] 2025-12-04T09:39:37.5171362Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5171509Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5171600Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5171737Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5171849Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5171913Z unimplemented [] 2025-12-04T09:39:37.5172900Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5172997Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5173088Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5173233Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5173302Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5173369Z unimplemented [] 2025-12-04T09:39:37.5174351Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5174446Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5174542Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5174665Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5174739Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5174805Z unimplemented [] 2025-12-04T09:39:37.5175756Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5175858Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5175950Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5176075Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5176148Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5176210Z unimplemented [] 2025-12-04T09:39:37.5177157Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5177252Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5177349Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5177483Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5177551Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5177621Z unimplemented [] 2025-12-04T09:39:37.5178654Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5178804Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5178907Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5179033Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5179106Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5179208Z unimplemented [] 2025-12-04T09:39:37.5180195Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5180297Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5180388Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5180522Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5180590Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5180652Z unimplemented [] 2025-12-04T09:39:37.5181634Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5181732Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5181830Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5181956Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5182026Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5182096Z unimplemented [] 2025-12-04T09:39:37.5183036Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5183137Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5183228Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5183355Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5183435Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5183503Z unimplemented [] 2025-12-04T09:39:37.5184445Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5184549Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5184641Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5184827Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.5184906Z Traceback (most recent call last): 2025-12-04T09:39:37.5185251Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5185344Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.5185622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.5185734Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.5186049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.5186225Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.5186318Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.5186321Z 2025-12-04T09:39:37.5186389Z Expected 2 but got 4. 2025-12-04T09:39:37.5186494Z Absolute difference: 2 2025-12-04T09:39:37.5186582Z Relative difference: 1.0 2025-12-04T09:39:37.5186585Z 2025-12-04T09:39:37.5186717Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.5187027Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5187031Z 2025-12-04T09:39:37.5187199Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.5187327Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5187406Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.5187471Z unimplemented [] 2025-12-04T09:39:37.5188477Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.5188576Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.5188669Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.5188802Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5188869Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5188931Z unimplemented [] 2025-12-04T09:39:37.5189891Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5189990Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5190095Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5190224Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5190292Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5190359Z unimplemented [] 2025-12-04T09:39:37.5191304Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5191406Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5191497Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5191622Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5191695Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5191760Z unimplemented [] 2025-12-04T09:39:37.5192712Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5192804Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5192894Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5193077Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5193147Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5193215Z unimplemented [] 2025-12-04T09:39:37.5194167Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5194330Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5194428Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5194553Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5194627Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5194689Z unimplemented [] 2025-12-04T09:39:37.5195717Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5195821Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5195914Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5196040Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5196118Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5196181Z unimplemented [] 2025-12-04T09:39:37.5197137Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5197231Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5197323Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5197460Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5197528Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5197598Z unimplemented [] 2025-12-04T09:39:37.5198541Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5198633Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5198732Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5198857Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5198931Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5198995Z unimplemented [] 2025-12-04T09:39:37.5199946Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5200055Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5200148Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5200282Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5200400Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5200464Z unimplemented [] 2025-12-04T09:39:37.5201413Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5201544Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5201676Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5201804Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5201873Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5201946Z unimplemented [] 2025-12-04T09:39:37.5202892Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5203029Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5203126Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5203250Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5203325Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5203389Z unimplemented [] 2025-12-04T09:39:37.5204332Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5204434Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5204527Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5204665Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5204744Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5204813Z unimplemented [] 2025-12-04T09:39:37.5205763Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5205857Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5205958Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5206084Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5206154Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5206225Z unimplemented [] 2025-12-04T09:39:37.5207169Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5207272Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5207364Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5207489Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5207566Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5207679Z unimplemented [] 2025-12-04T09:39:37.5208650Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5208780Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5208908Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5209048Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5209119Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5209185Z unimplemented [] 2025-12-04T09:39:37.5210139Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5210237Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5210373Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5210502Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5210571Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5210642Z unimplemented [] 2025-12-04T09:39:37.5211592Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5211694Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5211786Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5211909Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5212208Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5212281Z unimplemented [] 2025-12-04T09:39:37.5213246Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5213343Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5213436Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5213568Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5213637Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5213700Z unimplemented [] 2025-12-04T09:39:37.5214654Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5214750Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5214847Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5214974Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5215041Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5215109Z unimplemented [] 2025-12-04T09:39:37.5216140Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5216294Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5216396Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5216595Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5216672Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5216739Z unimplemented [] 2025-12-04T09:39:37.5217713Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5217808Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5217901Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5218172Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5218245Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5218312Z unimplemented [] 2025-12-04T09:39:37.5219267Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5219363Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5219465Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5219592Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5219665Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5219729Z unimplemented [] 2025-12-04T09:39:37.5220679Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5220782Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5220874Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5221005Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5221076Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5221141Z unimplemented [] 2025-12-04T09:39:37.5222093Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5222187Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5222285Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5222409Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5222479Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5222560Z unimplemented [] 2025-12-04T09:39:37.5223507Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5223654Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5223783Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5223921Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5224032Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5224101Z unimplemented [] 2025-12-04T09:39:37.5225050Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5225151Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5225243Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5225455Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.5225538Z Traceback (most recent call last): 2025-12-04T09:39:37.5225877Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5225973Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.5226249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.5226357Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.5226672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.5226797Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.5226897Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.5226902Z 2025-12-04T09:39:37.5226978Z Expected 2 but got 4. 2025-12-04T09:39:37.5227048Z Absolute difference: 2 2025-12-04T09:39:37.5227131Z Relative difference: 1.0 2025-12-04T09:39:37.5227134Z 2025-12-04T09:39:37.5227264Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.5227534Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5227538Z 2025-12-04T09:39:37.5227702Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.5227831Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5227906Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.5227970Z unimplemented [] 2025-12-04T09:39:37.5228942Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.5229046Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.5229142Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.5229278Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5229348Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5229411Z unimplemented [] 2025-12-04T09:39:37.5230365Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5230511Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5230613Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5230776Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5230845Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5230916Z unimplemented [] 2025-12-04T09:39:37.5231890Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5231995Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5232085Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5232219Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5232294Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5232357Z unimplemented [] 2025-12-04T09:39:37.5233348Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5233443Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5233536Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5233665Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5233739Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5233800Z unimplemented [] 2025-12-04T09:39:37.5234757Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5234856Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5234952Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5235077Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5235145Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5235212Z unimplemented [] 2025-12-04T09:39:37.5236164Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5236269Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5236363Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5236490Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5236566Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5236628Z unimplemented [] 2025-12-04T09:39:37.5237571Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5237705Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5237801Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5237945Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5238050Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5238118Z unimplemented [] 2025-12-04T09:39:37.5239112Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5239210Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5239312Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5239440Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5239513Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5239576Z unimplemented [] 2025-12-04T09:39:37.5240554Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5240657Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5240749Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5240881Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5240948Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5241012Z unimplemented [] 2025-12-04T09:39:37.5241968Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5242062Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5242164Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5242289Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5242357Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5242427Z unimplemented [] 2025-12-04T09:39:37.5243370Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5243472Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5243568Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5243693Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5243767Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5243836Z unimplemented [] 2025-12-04T09:39:37.5244790Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5244932Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5245026Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5245159Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5245228Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5245349Z unimplemented [] 2025-12-04T09:39:37.5246335Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5246430Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5246528Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5246666Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5246738Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5246811Z unimplemented [] 2025-12-04T09:39:37.5247798Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5247910Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5248005Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5248140Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5248219Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5248282Z unimplemented [] 2025-12-04T09:39:37.5249232Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5249334Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5249428Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5249563Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5249633Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5249700Z unimplemented [] 2025-12-04T09:39:37.5250651Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5250745Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5250849Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5250979Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5251048Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5251122Z unimplemented [] 2025-12-04T09:39:37.5252064Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5252213Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5252306Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5252432Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5252510Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5252576Z unimplemented [] 2025-12-04T09:39:37.5253605Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5253700Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5253793Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5253926Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5253998Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5254060Z unimplemented [] 2025-12-04T09:39:37.5255040Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5255139Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5255238Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5255363Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5255432Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5255505Z unimplemented [] 2025-12-04T09:39:37.5256446Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5256546Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5256638Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5256762Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5256837Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5256899Z unimplemented [] 2025-12-04T09:39:37.5257848Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5257940Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5258032Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5258255Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5258328Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5258407Z unimplemented [] 2025-12-04T09:39:37.5259353Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5259448Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5259588Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5259715Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5259789Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5259852Z unimplemented [] 2025-12-04T09:39:37.5260833Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5260976Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5261071Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5261202Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5261269Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5261335Z unimplemented [] 2025-12-04T09:39:37.5262317Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5262420Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5262517Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5262649Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5262716Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5262787Z unimplemented [] 2025-12-04T09:39:37.5263730Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5263826Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5263926Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5264052Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5264126Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5264190Z unimplemented [] 2025-12-04T09:39:37.5265128Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5265230Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5265321Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5265453Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5265523Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5265596Z unimplemented [] 2025-12-04T09:39:37.5266544Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5266637Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5266734Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5266956Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.5267035Z Traceback (most recent call last): 2025-12-04T09:39:37.5267380Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5267477Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.5267788Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.5267898Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.5268244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.5268379Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.5268462Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.5268465Z 2025-12-04T09:39:37.5268532Z Expected 2 but got 4. 2025-12-04T09:39:37.5268610Z Absolute difference: 2 2025-12-04T09:39:37.5268681Z Relative difference: 1.0 2025-12-04T09:39:37.5268684Z 2025-12-04T09:39:37.5268814Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.5269082Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5269122Z 2025-12-04T09:39:37.5269286Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.5269422Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5269494Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.5269558Z unimplemented [] 2025-12-04T09:39:37.5270521Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.5270621Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.5270721Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.5270851Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5270923Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5271004Z unimplemented [] 2025-12-04T09:39:37.5271956Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5272060Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5272155Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5272280Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5272359Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5272422Z unimplemented [] 2025-12-04T09:39:37.5273380Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5273476Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5273570Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5273702Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5273771Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5273893Z unimplemented [] 2025-12-04T09:39:37.5274847Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5274975Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5275111Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5275239Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5275308Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5275377Z unimplemented [] 2025-12-04T09:39:37.5276321Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5276421Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5276552Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5276678Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5276750Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5276816Z unimplemented [] 2025-12-04T09:39:37.5277764Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5277860Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5277952Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5278083Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5278153Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5278222Z unimplemented [] 2025-12-04T09:39:37.5279174Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5279274Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5279372Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5279498Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5279572Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5279634Z unimplemented [] 2025-12-04T09:39:37.5280586Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5280689Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5280782Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5280912Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5280979Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5281043Z unimplemented [] 2025-12-04T09:39:37.5282049Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5282181Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5282278Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5282437Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5282508Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5282578Z unimplemented [] 2025-12-04T09:39:37.5283535Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5283631Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5283730Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5283893Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5283970Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5284033Z unimplemented [] 2025-12-04T09:39:37.5284979Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5285080Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5285172Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5285303Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5285372Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5285435Z unimplemented [] 2025-12-04T09:39:37.5286390Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5286483Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5286585Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5286720Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5286793Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5286865Z unimplemented [] 2025-12-04T09:39:37.5287815Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5287918Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5288011Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5288137Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5288212Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5288276Z unimplemented [] 2025-12-04T09:39:37.5289222Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5289406Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5289500Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5289632Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5289736Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5289802Z unimplemented [] 2025-12-04T09:39:37.5290751Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5290846Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5290943Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5291102Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5291175Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5291258Z unimplemented [] 2025-12-04T09:39:37.5292204Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5292305Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5292399Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5292525Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5292601Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5292663Z unimplemented [] 2025-12-04T09:39:37.5293622Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5293718Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5293810Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5293942Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5294012Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5294078Z unimplemented [] 2025-12-04T09:39:37.5295029Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5295125Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5295227Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5295352Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5295425Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5295498Z unimplemented [] 2025-12-04T09:39:37.5296445Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5296599Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5296728Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5296854Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5296933Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5297031Z unimplemented [] 2025-12-04T09:39:37.5297977Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5298073Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5298265Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5298400Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5298529Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5298603Z unimplemented [] 2025-12-04T09:39:37.5299555Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5299647Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5299748Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5299877Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5299949Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5300013Z unimplemented [] 2025-12-04T09:39:37.5300977Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5301077Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5301167Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5301296Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5301368Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5301429Z unimplemented [] 2025-12-04T09:39:37.5302375Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5302469Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5302560Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5302692Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5302760Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5302827Z unimplemented [] 2025-12-04T09:39:37.5303769Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5303907Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5304005Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5304172Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5304245Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5304308Z unimplemented [] 2025-12-04T09:39:37.5305291Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5305395Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5305487Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5305624Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5305701Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5305764Z unimplemented [] 2025-12-04T09:39:37.5306754Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5306847Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5306943Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5307068Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5307141Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5307211Z unimplemented [] 2025-12-04T09:39:37.5308152Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5308255Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5308348Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5308485Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5308562Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5308626Z unimplemented [] 2025-12-04T09:39:37.5309571Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5309678Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5309771Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5309948Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.5310028Z Traceback (most recent call last): 2025-12-04T09:39:37.5310367Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5310460Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.5310735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.5310893Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.5311205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.5311337Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.5311465Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.5311469Z 2025-12-04T09:39:37.5311537Z Expected 2 but got 4. 2025-12-04T09:39:37.5311605Z Absolute difference: 2 2025-12-04T09:39:37.5311761Z Relative difference: 1.0 2025-12-04T09:39:37.5311765Z 2025-12-04T09:39:37.5311895Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.5312735Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5312742Z 2025-12-04T09:39:37.5312912Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.5313046Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5318186Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.5318296Z unimplemented [] 2025-12-04T09:39:37.5319449Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.5319574Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.5319677Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.5319828Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5319904Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5319971Z unimplemented [] 2025-12-04T09:39:37.5320943Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5321049Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5321152Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5321290Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5321360Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5321430Z unimplemented [] 2025-12-04T09:39:37.5322400Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5322508Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5322607Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5322754Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5322833Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5322900Z unimplemented [] 2025-12-04T09:39:37.5323890Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5324063Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5324157Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5324299Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5324370Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5324435Z unimplemented [] 2025-12-04T09:39:37.5325788Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5325890Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5325989Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5326115Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5326188Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5326260Z unimplemented [] 2025-12-04T09:39:37.5327252Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5327359Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5327451Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5327576Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5327651Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5327716Z unimplemented [] 2025-12-04T09:39:37.5328678Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5328780Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5328873Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5329005Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5329077Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5329141Z unimplemented [] 2025-12-04T09:39:37.5330093Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5330188Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5330285Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5330414Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5330485Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5330556Z unimplemented [] 2025-12-04T09:39:37.5331495Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5331596Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5331739Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5331869Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5331945Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5332007Z unimplemented [] 2025-12-04T09:39:37.5332994Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5333153Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5333244Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5333451Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5333523Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5333593Z unimplemented [] 2025-12-04T09:39:37.5334583Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5334683Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5334782Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5334910Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5334984Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5335048Z unimplemented [] 2025-12-04T09:39:37.5335991Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5336097Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5336193Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5336327Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5336397Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5336463Z unimplemented [] 2025-12-04T09:39:37.5337457Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5337555Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5337653Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5337778Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5337852Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5337924Z unimplemented [] 2025-12-04T09:39:37.5338945Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5339049Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5339143Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5339328Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5339405Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5339469Z unimplemented [] 2025-12-04T09:39:37.5340466Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5340640Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5340737Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5340871Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5340946Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5341014Z unimplemented [] 2025-12-04T09:39:37.5342012Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5342120Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5342226Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5342365Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5342438Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5342508Z unimplemented [] 2025-12-04T09:39:37.5343453Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5343575Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5343673Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5343806Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5343880Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5343944Z unimplemented [] 2025-12-04T09:39:37.5344894Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5344997Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5345094Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5345232Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5345303Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5345365Z unimplemented [] 2025-12-04T09:39:37.5346322Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5346421Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5346520Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5346651Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5346763Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5346833Z unimplemented [] 2025-12-04T09:39:37.5347790Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5347977Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5348072Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5348210Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5348287Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5348351Z unimplemented [] 2025-12-04T09:39:37.5349307Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5349441Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5349537Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5349683Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5349753Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5349816Z unimplemented [] 2025-12-04T09:39:37.5350766Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5350863Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5350964Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5351092Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5351165Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5351236Z unimplemented [] 2025-12-04T09:39:37.5352177Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5352277Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5352384Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5352513Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5352589Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5352653Z unimplemented [] 2025-12-04T09:39:37.5353601Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5353696Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5353789Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5353923Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5354047Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5354119Z unimplemented [] 2025-12-04T09:39:37.5355067Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5355198Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5355333Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5355461Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5355535Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5355599Z unimplemented [] 2025-12-04T09:39:37.5356550Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5356655Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5356785Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5356920Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5356989Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5357057Z unimplemented [] 2025-12-04T09:39:37.5358007Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5358102Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5358195Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5358329Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5358401Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5358474Z unimplemented [] 2025-12-04T09:39:37.5359418Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5359513Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5359612Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5359745Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5359821Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5359888Z unimplemented [] 2025-12-04T09:39:37.5360870Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5360984Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5361082Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5361266Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.5361346Z Traceback (most recent call last): 2025-12-04T09:39:37.5361749Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5361846Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.5362136Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.5362301Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.5362626Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.5362790Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.5362887Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.5362892Z 2025-12-04T09:39:37.5362966Z Expected 2 but got 4. 2025-12-04T09:39:37.5363038Z Absolute difference: 2 2025-12-04T09:39:37.5363117Z Relative difference: 1.0 2025-12-04T09:39:37.5363121Z 2025-12-04T09:39:37.5363258Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.5363534Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5363539Z 2025-12-04T09:39:37.5363712Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.5363892Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5363978Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.5364045Z unimplemented [] 2025-12-04T09:39:37.5365026Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.5365137Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.5365237Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.5365383Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5365455Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5365519Z unimplemented [] 2025-12-04T09:39:37.5366474Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5366573Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5366674Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5366803Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5366874Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5366944Z unimplemented [] 2025-12-04T09:39:37.5367887Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5367990Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5368086Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5368214Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5368289Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5368354Z unimplemented [] 2025-12-04T09:39:37.5369304Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5369450Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5369581Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5369715Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5369784Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5369883Z unimplemented [] 2025-12-04T09:39:37.5370833Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5370928Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5371031Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5371161Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5371266Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5371351Z unimplemented [] 2025-12-04T09:39:37.5372304Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5372404Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5372499Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5372627Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5372703Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5372767Z unimplemented [] 2025-12-04T09:39:37.5373728Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5373827Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5373920Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5374052Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5374122Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5374191Z unimplemented [] 2025-12-04T09:39:37.5375138Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5375234Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5375334Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5375463Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5375538Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5375601Z unimplemented [] 2025-12-04T09:39:37.5376547Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5376698Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5376793Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5376962Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5377032Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5377096Z unimplemented [] 2025-12-04T09:39:37.5378205Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5378319Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5378414Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5378547Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5378619Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5378730Z unimplemented [] 2025-12-04T09:39:37.5379690Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5379785Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5379886Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5380013Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5380089Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5380155Z unimplemented [] 2025-12-04T09:39:37.5381103Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5381217Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5381312Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5381446Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5381516Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5381580Z unimplemented [] 2025-12-04T09:39:37.5382532Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5382633Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5382732Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5382863Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5382932Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5383004Z unimplemented [] 2025-12-04T09:39:37.5383955Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5384096Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5384190Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5384320Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5384440Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5384508Z unimplemented [] 2025-12-04T09:39:37.5385503Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5385608Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5385714Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5385849Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5385918Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5385986Z unimplemented [] 2025-12-04T09:39:37.5386973Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5387073Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5387174Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5387300Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5387370Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5387443Z unimplemented [] 2025-12-04T09:39:37.5388402Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5388502Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5388598Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5388722Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5388797Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5388860Z unimplemented [] 2025-12-04T09:39:37.5389807Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5389905Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5390003Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5390134Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5390205Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5390271Z unimplemented [] 2025-12-04T09:39:37.5391218Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5391381Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5391478Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5391606Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5391712Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5391792Z unimplemented [] 2025-12-04T09:39:37.5392772Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5392874Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5392977Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5393107Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5393182Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5393247Z unimplemented [] 2025-12-04T09:39:37.5394240Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5394340Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5394434Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5394567Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5394644Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5394710Z unimplemented [] 2025-12-04T09:39:37.5395664Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5395760Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5395861Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5395988Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5396057Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5396126Z unimplemented [] 2025-12-04T09:39:37.5397073Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5397173Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5397269Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5397397Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5397473Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5397537Z unimplemented [] 2025-12-04T09:39:37.5398487Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5398623Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5398717Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5398849Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5398928Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5399036Z unimplemented [] 2025-12-04T09:39:37.5400010Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5400108Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5400210Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5400336Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5400414Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5400478Z unimplemented [] 2025-12-04T09:39:37.5401451Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5401556Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5401654Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5401791Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5401859Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5401924Z unimplemented [] 2025-12-04T09:39:37.5402871Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5402967Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5403066Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5403194Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5403264Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5403338Z unimplemented [] 2025-12-04T09:39:37.5404281Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5404385Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5404478Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5404605Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5404683Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5404746Z unimplemented [] 2025-12-04T09:39:37.5405699Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5405801Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5405949Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5406085Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5406154Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5406218Z unimplemented [] 2025-12-04T09:39:37.5407204Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5407343Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5407447Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5407623Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.5407707Z Traceback (most recent call last): 2025-12-04T09:39:37.5408053Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5408153Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.5408474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.5408592Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.5408912Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.5409049Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.5409135Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.5409139Z 2025-12-04T09:39:37.5409211Z Expected 2 but got 4. 2025-12-04T09:39:37.5409289Z Absolute difference: 2 2025-12-04T09:39:37.5409361Z Relative difference: 1.0 2025-12-04T09:39:37.5409367Z 2025-12-04T09:39:37.5409507Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.5409772Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5409776Z 2025-12-04T09:39:37.5409943Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.5410083Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5410154Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.5410227Z unimplemented [] 2025-12-04T09:39:37.5411180Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.5411279Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.5411382Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.5411508Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5411589Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5411662Z unimplemented [] 2025-12-04T09:39:37.5412889Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5412994Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5413091Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5413223Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5413375Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5413439Z unimplemented [] 2025-12-04T09:39:37.5414408Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5414612Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5414709Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5414840Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5414909Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5414984Z unimplemented [] 2025-12-04T09:39:37.5416021Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5416135Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5416238Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5416367Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5416441Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5416504Z unimplemented [] 2025-12-04T09:39:37.5417471Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5417573Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5417666Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5417799Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5417871Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5417934Z unimplemented [] 2025-12-04T09:39:37.5418988Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5419086Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5419186Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5419315Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5419384Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5419453Z unimplemented [] 2025-12-04T09:39:37.5420398Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5420515Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5420610Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5420736Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5420869Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5420934Z unimplemented [] 2025-12-04T09:39:37.5421876Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5422013Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5422148Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5422286Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5422357Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5422422Z unimplemented [] 2025-12-04T09:39:37.5423385Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5423517Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5423620Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5423747Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5423818Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5423888Z unimplemented [] 2025-12-04T09:39:37.5424831Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5424932Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5425025Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5425152Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5425236Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5425300Z unimplemented [] 2025-12-04T09:39:37.5426250Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5426358Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5426453Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5426589Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5426659Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5426721Z unimplemented [] 2025-12-04T09:39:37.5427673Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5427770Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5427871Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5427997Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5428067Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5428182Z unimplemented [] 2025-12-04T09:39:37.5429121Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5429261Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5429366Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5429532Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5429612Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5429679Z unimplemented [] 2025-12-04T09:39:37.5430629Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5430728Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5430858Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5430998Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5431068Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5431133Z unimplemented [] 2025-12-04T09:39:37.5432088Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5432183Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5432295Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5432423Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5432494Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5432571Z unimplemented [] 2025-12-04T09:39:37.5433513Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5433615Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5433709Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5433837Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5433917Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5433981Z unimplemented [] 2025-12-04T09:39:37.5434942Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5435040Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5435134Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5435263Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5435331Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5435400Z unimplemented [] 2025-12-04T09:39:37.5436349Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5436600Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5436701Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5436862Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5436938Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5437001Z unimplemented [] 2025-12-04T09:39:37.5437948Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5438051Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5438142Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5438307Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5438379Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5438441Z unimplemented [] 2025-12-04T09:39:37.5439397Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5439494Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5439600Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5439736Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5439807Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5439874Z unimplemented [] 2025-12-04T09:39:37.5440822Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5440928Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5441026Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5441156Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5441235Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5441299Z unimplemented [] 2025-12-04T09:39:37.5442238Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5442342Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5442438Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5442572Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5442642Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5442706Z unimplemented [] 2025-12-04T09:39:37.5443651Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5443800Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5443936Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5444076Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5444199Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5444272Z unimplemented [] 2025-12-04T09:39:37.5445218Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5445329Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5445426Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5445552Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5445667Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5445732Z unimplemented [] 2025-12-04T09:39:37.5446684Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5446787Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5446884Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5447018Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5447089Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5447154Z unimplemented [] 2025-12-04T09:39:37.5448103Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5448208Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5448320Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5448450Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5448521Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5448594Z unimplemented [] 2025-12-04T09:39:37.5449536Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5449641Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5449735Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5449863Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5449943Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5450007Z unimplemented [] 2025-12-04T09:39:37.5450960Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5451106Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5451201Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5451370Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5451440Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5451504Z unimplemented [] 2025-12-04T09:39:37.5452497Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5452596Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5452707Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5452839Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5452909Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5453019Z unimplemented [] 2025-12-04T09:39:37.5453964Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5454066Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5454160Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5454291Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5454368Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5454433Z unimplemented [] 2025-12-04T09:39:37.5455384Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5455482Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5455577Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5455756Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.5455836Z Traceback (most recent call last): 2025-12-04T09:39:37.5456188Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5456279Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.5456561Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.5456677Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.5456997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.5457128Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.5457221Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.5457224Z 2025-12-04T09:39:37.5457302Z Expected 2 but got 4. 2025-12-04T09:39:37.5457380Z Absolute difference: 2 2025-12-04T09:39:37.5457452Z Relative difference: 1.0 2025-12-04T09:39:37.5457455Z 2025-12-04T09:39:37.5457588Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.5457901Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5457905Z 2025-12-04T09:39:37.5458072Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.5458364Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5458489Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.5458555Z unimplemented [] 2025-12-04T09:39:37.5459547Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.5459648Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.5459751Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.5459887Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5459958Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5460031Z unimplemented [] 2025-12-04T09:39:37.5461024Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5461133Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5461228Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5461370Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5461446Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5461511Z unimplemented [] 2025-12-04T09:39:37.5462455Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5462559Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5462654Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5462789Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5462861Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5462927Z unimplemented [] 2025-12-04T09:39:37.5463879Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5463978Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5464079Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5464209Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5464280Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5464351Z unimplemented [] 2025-12-04T09:39:37.5465295Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5465436Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5465532Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5465659Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5465736Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5465838Z unimplemented [] 2025-12-04T09:39:37.5466814Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5466918Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5467012Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5467148Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5467221Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5467284Z unimplemented [] 2025-12-04T09:39:37.5468270Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5468380Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5468486Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5468615Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5468685Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5468756Z unimplemented [] 2025-12-04T09:39:37.5469704Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5469806Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5469901Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5470030Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5470105Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5470170Z unimplemented [] 2025-12-04T09:39:37.5471115Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5471214Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5471308Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5471447Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5471518Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5471583Z unimplemented [] 2025-12-04T09:39:37.5472532Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5472627Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5472772Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5472901Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5472971Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5473044Z unimplemented [] 2025-12-04T09:39:37.5474083Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5474186Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5474283Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5474412Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5474492Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5474558Z unimplemented [] 2025-12-04T09:39:37.5475550Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5475651Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5475748Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5475884Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5475958Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5476028Z unimplemented [] 2025-12-04T09:39:37.5476973Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5477072Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5477178Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5477305Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5477390Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5477459Z unimplemented [] 2025-12-04T09:39:37.5478404Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5478505Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5478599Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5478733Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5478805Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5478868Z unimplemented [] 2025-12-04T09:39:37.5479824Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5479920Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5480066Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5480200Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5480273Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5480342Z unimplemented [] 2025-12-04T09:39:37.5481322Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5481453Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5481553Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5481680Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5481754Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5481820Z unimplemented [] 2025-12-04T09:39:37.5482802Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5482904Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5483001Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5483137Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5483206Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5483273Z unimplemented [] 2025-12-04T09:39:37.5484218Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5484313Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5484414Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5484543Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5484612Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5484682Z unimplemented [] 2025-12-04T09:39:37.5485627Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5485730Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5485823Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5485950Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5486034Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5486106Z unimplemented [] 2025-12-04T09:39:37.5487055Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5487157Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5487252Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5487423Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5487494Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5487558Z unimplemented [] 2025-12-04T09:39:37.5488521Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5488688Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5488790Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5488916Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5488985Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5489055Z unimplemented [] 2025-12-04T09:39:37.5490049Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5490153Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5490247Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5490388Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5490465Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5490529Z unimplemented [] 2025-12-04T09:39:37.5491479Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5491575Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5491672Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5491810Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5491879Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5491947Z unimplemented [] 2025-12-04T09:39:37.5492901Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5492996Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5493099Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5493227Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5493297Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5493371Z unimplemented [] 2025-12-04T09:39:37.5494324Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5494433Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5494527Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5494656Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5494780Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5494845Z unimplemented [] 2025-12-04T09:39:37.5495809Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5495973Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5496070Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5496209Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5496279Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5496350Z unimplemented [] 2025-12-04T09:39:37.5497305Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5497437Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5497551Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5497680Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5497762Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5497827Z unimplemented [] 2025-12-04T09:39:37.5498883Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5498989Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5499083Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5499213Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5499293Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5499356Z unimplemented [] 2025-12-04T09:39:37.5500321Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5500418Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5500513Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5500653Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5500721Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5500789Z unimplemented [] 2025-12-04T09:39:37.5501730Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5501827Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5501928Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5502054Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5502134Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5502262Z unimplemented [] 2025-12-04T09:39:37.5503207Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5503343Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5503472Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5503603Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5503672Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5503737Z unimplemented [] 2025-12-04T09:39:37.5504685Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5504782Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5504915Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5505088Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.5505167Z Traceback (most recent call last): 2025-12-04T09:39:37.5505515Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5505602Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.5505876Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.5505985Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.5506313Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.5506447Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.5506533Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.5506541Z 2025-12-04T09:39:37.5506609Z Expected 2 but got 4. 2025-12-04T09:39:37.5506684Z Absolute difference: 2 2025-12-04T09:39:37.5506757Z Relative difference: 1.0 2025-12-04T09:39:37.5506760Z 2025-12-04T09:39:37.5506893Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.5507170Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5507174Z 2025-12-04T09:39:37.5507346Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.5507480Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5507554Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.5507620Z unimplemented [] 2025-12-04T09:39:37.5508578Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.5508680Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.5508783Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.5508911Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5508982Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5509052Z unimplemented [] 2025-12-04T09:39:37.5509993Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5510172Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5510269Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5510395Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5510511Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5510576Z unimplemented [] 2025-12-04T09:39:37.5511526Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5511622Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5511716Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5511888Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5511960Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5512301Z unimplemented [] 2025-12-04T09:39:37.5513260Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5513357Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5513462Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5513592Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5513664Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5513734Z unimplemented [] 2025-12-04T09:39:37.5514681Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5514785Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5514880Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5515009Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5515087Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5515153Z unimplemented [] 2025-12-04T09:39:37.5516105Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5516203Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5516298Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5516444Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5516515Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5516591Z unimplemented [] 2025-12-04T09:39:37.5517540Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5517740Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5517911Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5518041Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5518117Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5518236Z unimplemented [] 2025-12-04T09:39:37.5519185Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5519293Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5519389Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5519526Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5519671Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5519746Z unimplemented [] 2025-12-04T09:39:37.5520707Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5520807Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5520900Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5521037Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5521107Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5521176Z unimplemented [] 2025-12-04T09:39:37.5522121Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5522223Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5522322Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5522449Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5522525Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5522591Z unimplemented [] 2025-12-04T09:39:37.5523535Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5523638Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5523730Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5523876Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5523947Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5524011Z unimplemented [] 2025-12-04T09:39:37.5524957Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5525104Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5525202Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5525369Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5525439Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5525507Z unimplemented [] 2025-12-04T09:39:37.5526484Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5526586Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5526679Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5526806Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5526880Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5526942Z unimplemented [] 2025-12-04T09:39:37.5527952Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5528059Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5528154Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5528286Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5528357Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5528420Z unimplemented [] 2025-12-04T09:39:37.5529381Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5529480Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5529582Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5529708Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5529780Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5529852Z unimplemented [] 2025-12-04T09:39:37.5530798Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5530906Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5531000Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5531128Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5531208Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5531272Z unimplemented [] 2025-12-04T09:39:37.5532226Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5532371Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5532465Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5532604Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5532711Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5532775Z unimplemented [] 2025-12-04T09:39:37.5533757Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5533866Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5533969Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5534095Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5534166Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5534238Z unimplemented [] 2025-12-04T09:39:37.5535212Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5535321Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5535416Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5535543Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5535619Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5535685Z unimplemented [] 2025-12-04T09:39:37.5536629Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5536724Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5536820Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5536955Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5537023Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5537089Z unimplemented [] 2025-12-04T09:39:37.5538034Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5538235Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5538344Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5538474Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5538545Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5538618Z unimplemented [] 2025-12-04T09:39:37.5539568Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5539724Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5539819Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5539947Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5540026Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5540129Z unimplemented [] 2025-12-04T09:39:37.5541116Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5541214Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5541308Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5541448Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5541520Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5541599Z unimplemented [] 2025-12-04T09:39:37.5542584Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5542683Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5542786Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5542916Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5542994Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5543060Z unimplemented [] 2025-12-04T09:39:37.5544005Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5544113Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5544206Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5544340Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5544410Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5544483Z unimplemented [] 2025-12-04T09:39:37.5545430Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5545525Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5545624Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5545752Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5545825Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5545896Z unimplemented [] 2025-12-04T09:39:37.5546838Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5546986Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5547081Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5547209Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5547284Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5547349Z unimplemented [] 2025-12-04T09:39:37.5548367Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5548470Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5548562Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5548695Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5548766Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5548829Z unimplemented [] 2025-12-04T09:39:37.5549812Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5549912Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5550012Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5550139Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5550209Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5550287Z unimplemented [] 2025-12-04T09:39:37.5551229Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5551338Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5551434Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5551562Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5551642Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5551708Z unimplemented [] 2025-12-04T09:39:37.5552647Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5552750Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5552846Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5552987Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5553061Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5553125Z unimplemented [] 2025-12-04T09:39:37.5554071Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5554165Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5554365Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5554494Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5554566Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5554636Z unimplemented [] 2025-12-04T09:39:37.5555621Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5555774Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5555869Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5556040Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.5556128Z Traceback (most recent call last): 2025-12-04T09:39:37.5556471Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5556566Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.5556881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.5556990Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.5557312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.5557442Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.5557537Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.5557542Z 2025-12-04T09:39:37.5557619Z Expected 2 but got 4. 2025-12-04T09:39:37.5557690Z Absolute difference: 2 2025-12-04T09:39:37.5557773Z Relative difference: 1.0 2025-12-04T09:39:37.5557778Z 2025-12-04T09:39:37.5557911Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.5558171Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5558175Z 2025-12-04T09:39:37.5558345Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.5558479Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5558551Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.5558623Z unimplemented [] 2025-12-04T09:39:37.5559574Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.5559681Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.5559780Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.5559913Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5559989Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5560055Z unimplemented [] 2025-12-04T09:39:37.5561007Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5561103Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5561209Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5561347Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5561460Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5561530Z unimplemented [] 2025-12-04T09:39:37.5562484Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5562653Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5562758Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5562887Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5562964Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5563027Z unimplemented [] 2025-12-04T09:39:37.5563969Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5564111Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5564208Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5564345Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5564416Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5564483Z unimplemented [] 2025-12-04T09:39:37.5565439Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5565537Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5565635Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5565765Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5565836Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5565904Z unimplemented [] 2025-12-04T09:39:37.5566848Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5566947Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5567046Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5567172Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5567248Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5567311Z unimplemented [] 2025-12-04T09:39:37.5568259Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5568359Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5568453Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5568586Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5568666Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5568771Z unimplemented [] 2025-12-04T09:39:37.5569722Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5569854Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5569988Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5570116Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5570195Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5570266Z unimplemented [] 2025-12-04T09:39:37.5571209Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5571309Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5571440Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5571567Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5571643Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5571710Z unimplemented [] 2025-12-04T09:39:37.5572653Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5572754Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5572848Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5572983Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5573054Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5573121Z unimplemented [] 2025-12-04T09:39:37.5574067Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5574160Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5574259Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5574387Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5574456Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5574527Z unimplemented [] 2025-12-04T09:39:37.5575469Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5575570Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5575664Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5575792Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5575882Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5575949Z unimplemented [] 2025-12-04T09:39:37.5576947Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5577080Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5577174Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5577343Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5577415Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5577482Z unimplemented [] 2025-12-04T09:39:37.5578523Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5578622Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5578724Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5578890Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5578962Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5579034Z unimplemented [] 2025-12-04T09:39:37.5579997Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5580101Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5580196Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5580326Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5580404Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5580467Z unimplemented [] 2025-12-04T09:39:37.5581424Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5581519Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5581623Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5581757Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5581838Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5581911Z unimplemented [] 2025-12-04T09:39:37.5582856Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5582959Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5583060Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5583187Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5583264Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5583329Z unimplemented [] 2025-12-04T09:39:37.5584271Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5584469Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5584563Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5584702Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5584814Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5584882Z unimplemented [] 2025-12-04T09:39:37.5585838Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5585936Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5586038Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5586207Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5586281Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5586362Z unimplemented [] 2025-12-04T09:39:37.5587312Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5587408Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5587510Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5587637Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5587712Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5587777Z unimplemented [] 2025-12-04T09:39:37.5589145Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5589272Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5589371Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5589514Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5589589Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5589657Z unimplemented [] 2025-12-04T09:39:37.5590623Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5590724Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5590827Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5590959Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5591030Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5591100Z unimplemented [] 2025-12-04T09:39:37.5592047Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5592207Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5592352Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5592484Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5592561Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5592661Z unimplemented [] 2025-12-04T09:39:37.5593618Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5593721Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5593815Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5593948Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5594057Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5594124Z unimplemented [] 2025-12-04T09:39:37.5595073Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5595167Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5595266Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5595394Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5595463Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5595535Z unimplemented [] 2025-12-04T09:39:37.5596484Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5596586Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5596680Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5596805Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5596891Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5596957Z unimplemented [] 2025-12-04T09:39:37.5597908Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5598003Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5598103Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5598236Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5598307Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5598372Z unimplemented [] 2025-12-04T09:39:37.5599324Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5599472Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5599573Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5599739Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5599809Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5599881Z unimplemented [] 2025-12-04T09:39:37.5600859Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5600965Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5601059Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5601187Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5601272Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5601338Z unimplemented [] 2025-12-04T09:39:37.5602327Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5602423Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5602517Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5602652Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5602723Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5602793Z unimplemented [] 2025-12-04T09:39:37.5603745Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5603853Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5603956Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5604085Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5604163Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5604228Z unimplemented [] 2025-12-04T09:39:37.5605169Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5605275Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5605368Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5605496Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5605573Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5605641Z unimplemented [] 2025-12-04T09:39:37.5606594Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5606733Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5606826Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5606962Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5607078Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5607152Z unimplemented [] 2025-12-04T09:39:37.5608128Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5608228Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5608331Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5608514Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.5608599Z Traceback (most recent call last): 2025-12-04T09:39:37.5608983Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5609075Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.5609360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.5609467Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.5609782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.5609917Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.5610000Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.5610007Z 2025-12-04T09:39:37.5610080Z Expected 2 but got 4. 2025-12-04T09:39:37.5610150Z Absolute difference: 2 2025-12-04T09:39:37.5610223Z Relative difference: 1.0 2025-12-04T09:39:37.5610226Z 2025-12-04T09:39:37.5610374Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.5610638Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5610644Z 2025-12-04T09:39:37.5610813Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.5610947Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5611020Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.5611090Z unimplemented [] 2025-12-04T09:39:37.5612303Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.5612420Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.5612521Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.5612652Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5612727Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5612790Z unimplemented [] 2025-12-04T09:39:37.5613739Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5613954Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5614051Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5614186Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5614255Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5614318Z unimplemented [] 2025-12-04T09:39:37.5615389Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5615486Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5615586Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5615713Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5615785Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5615854Z unimplemented [] 2025-12-04T09:39:37.5616861Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5616972Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5617065Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5617192Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5617268Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5617331Z unimplemented [] 2025-12-04T09:39:37.5618387Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5618489Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5618582Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5618716Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5618786Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5618849Z unimplemented [] 2025-12-04T09:39:37.5619808Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5619904Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5620003Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5620133Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5620205Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5620279Z unimplemented [] 2025-12-04T09:39:37.5621224Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5621326Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5621466Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5621592Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5621669Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5621732Z unimplemented [] 2025-12-04T09:39:37.5622710Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5622837Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5622932Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5623068Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5623139Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5623210Z unimplemented [] 2025-12-04T09:39:37.5624187Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5624286Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5624389Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5624514Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5624590Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5624655Z unimplemented [] 2025-12-04T09:39:37.5625595Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5625697Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5625795Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5625922Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5626001Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5626067Z unimplemented [] 2025-12-04T09:39:37.5627017Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5627115Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5627212Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5627358Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5627433Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5627505Z unimplemented [] 2025-12-04T09:39:37.5628447Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5628542Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5628644Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5628820Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5628900Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5628966Z unimplemented [] 2025-12-04T09:39:37.5629950Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5630084Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5630180Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5630316Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5630387Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5630455Z unimplemented [] 2025-12-04T09:39:37.5631445Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5631546Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5631645Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5631777Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5631849Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5631917Z unimplemented [] 2025-12-04T09:39:37.5632859Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5632959Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5633053Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5633181Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5633256Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5633320Z unimplemented [] 2025-12-04T09:39:37.5634263Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5634364Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5634456Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5634589Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5634659Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5634727Z unimplemented [] 2025-12-04T09:39:37.5635677Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5635771Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5635870Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5635995Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5636107Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5636176Z unimplemented [] 2025-12-04T09:39:37.5637117Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5637285Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5637379Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5637506Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5637580Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5637644Z unimplemented [] 2025-12-04T09:39:37.5638592Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5638738Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5638833Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5638980Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5639052Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5639118Z unimplemented [] 2025-12-04T09:39:37.5640075Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5640174Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5640272Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5640400Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5640469Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5640538Z unimplemented [] 2025-12-04T09:39:37.5641486Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5641586Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5641680Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5641809Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5641886Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5641950Z unimplemented [] 2025-12-04T09:39:37.5642902Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5642998Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5643093Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5643227Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5643338Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5643402Z unimplemented [] 2025-12-04T09:39:37.5644370Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5644505Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5644638Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5644767Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5644838Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5644911Z unimplemented [] 2025-12-04T09:39:37.5645854Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5645992Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5646090Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5646218Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5646299Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5646363Z unimplemented [] 2025-12-04T09:39:37.5647315Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5647413Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5647507Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5647642Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5647719Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5647795Z unimplemented [] 2025-12-04T09:39:37.5648748Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5648843Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5648950Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5649079Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5649156Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5649221Z unimplemented [] 2025-12-04T09:39:37.5650167Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5650270Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5650365Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5650501Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5650571Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5650687Z unimplemented [] 2025-12-04T09:39:37.5651640Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5651770Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5651871Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5652036Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5652106Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5652187Z unimplemented [] 2025-12-04T09:39:37.5653132Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5653236Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5653365Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5653498Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5653572Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5653636Z unimplemented [] 2025-12-04T09:39:37.5654584Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5654686Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5654778Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5654911Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5654980Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5655047Z unimplemented [] 2025-12-04T09:39:37.5656001Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5656093Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5656196Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5656325Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5656397Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5656468Z unimplemented [] 2025-12-04T09:39:37.5657408Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5657509Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5657602Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5657727Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5657812Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5657877Z unimplemented [] 2025-12-04T09:39:37.5658919Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5659105Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5659199Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5659362Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5659434Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5659498Z unimplemented [] 2025-12-04T09:39:37.5660454Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5660555Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5660654Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5660815Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5660888Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5660969Z unimplemented [] 2025-12-04T09:39:37.5661917Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5662017Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5662111Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5662282Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.5662370Z Traceback (most recent call last): 2025-12-04T09:39:37.5662708Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5662804Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.5663082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.5663188Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.5663506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.5663637Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.5663721Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.5663726Z 2025-12-04T09:39:37.5663806Z Expected 2 but got 4. 2025-12-04T09:39:37.5663876Z Absolute difference: 2 2025-12-04T09:39:37.5663956Z Relative difference: 1.0 2025-12-04T09:39:37.5663960Z 2025-12-04T09:39:37.5664091Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.5664360Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5664364Z 2025-12-04T09:39:37.5664540Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.5664674Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5664745Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.5664816Z unimplemented [] 2025-12-04T09:39:37.5665765Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.5665921Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.5666018Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.5666185Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5666262Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5666328Z unimplemented [] 2025-12-04T09:39:37.5667336Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5667438Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5667538Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5667679Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5667756Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5667921Z unimplemented [] 2025-12-04T09:39:37.5668888Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5668984Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5673807Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5673991Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5674088Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5674164Z unimplemented [] 2025-12-04T09:39:37.5675141Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5675261Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5675363Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5675507Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5675590Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5675655Z unimplemented [] 2025-12-04T09:39:37.5676601Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5676703Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5676797Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5676936Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5677004Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5677072Z unimplemented [] 2025-12-04T09:39:37.5677999Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5678182Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5678282Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5678420Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5678536Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5678598Z unimplemented [] 2025-12-04T09:39:37.5679569Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5679676Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5679782Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5679917Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5679985Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5680049Z unimplemented [] 2025-12-04T09:39:37.5681071Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5681168Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5681263Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5681400Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5681469Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5681537Z unimplemented [] 2025-12-04T09:39:37.5682476Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5682570Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5682668Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5682802Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5682878Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5682942Z unimplemented [] 2025-12-04T09:39:37.5683877Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5683979Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5684073Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5684205Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5684276Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5684338Z unimplemented [] 2025-12-04T09:39:37.5685273Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5685405Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5685504Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5685631Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5685739Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5685809Z unimplemented [] 2025-12-04T09:39:37.5686774Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5686873Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5686966Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5687095Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5687170Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5687234Z unimplemented [] 2025-12-04T09:39:37.5688205Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5688306Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5688398Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5688531Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5688599Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5688665Z unimplemented [] 2025-12-04T09:39:37.5689611Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5689706Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5689806Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5689933Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5690003Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5690074Z unimplemented [] 2025-12-04T09:39:37.5691017Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5691119Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5691212Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5691339Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5691416Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5691480Z unimplemented [] 2025-12-04T09:39:37.5692421Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5692556Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5692647Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5692783Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5692851Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5692954Z unimplemented [] 2025-12-04T09:39:37.5693942Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5694038Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5694140Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5694266Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5694347Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5694419Z unimplemented [] 2025-12-04T09:39:37.5695392Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5695497Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5695591Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5695716Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5695791Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5695857Z unimplemented [] 2025-12-04T09:39:37.5696794Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5696892Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5696984Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5697118Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5697188Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5697250Z unimplemented [] 2025-12-04T09:39:37.5698353Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5698455Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5698553Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5698683Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5698752Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5698824Z unimplemented [] 2025-12-04T09:39:37.5699761Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5699860Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5699995Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5700121Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5700195Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5700259Z unimplemented [] 2025-12-04T09:39:37.5701248Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5701378Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5701468Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5701598Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5701668Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5701754Z unimplemented [] 2025-12-04T09:39:37.5702756Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5702853Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5702958Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5703084Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5703156Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5703220Z unimplemented [] 2025-12-04T09:39:37.5704162Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5704266Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5704360Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5704490Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5704560Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5704623Z unimplemented [] 2025-12-04T09:39:37.5705566Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5705661Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5705763Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5705897Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5705968Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5706038Z unimplemented [] 2025-12-04T09:39:37.5706977Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5707076Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5707177Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5707344Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5707419Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5707481Z unimplemented [] 2025-12-04T09:39:37.5708459Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5708593Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5708685Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5708815Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5708882Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5708947Z unimplemented [] 2025-12-04T09:39:37.5709927Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5710024Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5710121Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5710248Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5710315Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5710394Z unimplemented [] 2025-12-04T09:39:37.5711334Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5711435Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5711528Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5711656Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5711732Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5711799Z unimplemented [] 2025-12-04T09:39:37.5713145Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5713250Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5713344Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5713477Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5713547Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5713613Z unimplemented [] 2025-12-04T09:39:37.5714558Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5714651Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5714750Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5714977Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5715048Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5715131Z unimplemented [] 2025-12-04T09:39:37.5716074Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5716675Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5716775Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5716904Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5716981Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5717047Z unimplemented [] 2025-12-04T09:39:37.5718067Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5718172Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5718268Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5718417Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5718489Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5718555Z unimplemented [] 2025-12-04T09:39:37.5719505Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5719600Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5719702Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5719831Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5719901Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5719974Z unimplemented [] 2025-12-04T09:39:37.5720920Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5721022Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5721120Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5721257Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5721338Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5721401Z unimplemented [] 2025-12-04T09:39:37.5722354Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5722458Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5722556Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5722749Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.5722873Z Traceback (most recent call last): 2025-12-04T09:39:37.5723246Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5723337Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.5723624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.5723784Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.5724138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.5724271Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.5724363Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.5724368Z 2025-12-04T09:39:37.5724436Z Expected 2 but got 4. 2025-12-04T09:39:37.5724512Z Absolute difference: 2 2025-12-04T09:39:37.5724583Z Relative difference: 1.0 2025-12-04T09:39:37.5724588Z 2025-12-04T09:39:37.5724722Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.5724994Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5724998Z 2025-12-04T09:39:37.5725203Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.5725619Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5725924Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.5726125Z unimplemented [] 2025-12-04T09:39:37.5727215Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.5728362Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.5728640Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.5728945Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5729230Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5729435Z unimplemented [] 2025-12-04T09:39:37.5730493Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5731608Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5731879Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5732216Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5732514Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5732712Z unimplemented [] 2025-12-04T09:39:37.5733771Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5734924Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5735192Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5735499Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5735784Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5735988Z unimplemented [] 2025-12-04T09:39:37.5737130Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5738393Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5738660Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5739008Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5739295Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5739491Z unimplemented [] 2025-12-04T09:39:37.5740541Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5741655Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5741921Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5742254Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5742547Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5742748Z unimplemented [] 2025-12-04T09:39:37.5743790Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5744899Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5745168Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5745470Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5745743Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5745939Z unimplemented [] 2025-12-04T09:39:37.5747000Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5748115Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5748372Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5748665Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5748943Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5749134Z unimplemented [] 2025-12-04T09:39:37.5750182Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5751306Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5751571Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5751863Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5752133Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5752325Z unimplemented [] 2025-12-04T09:39:37.5753370Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5754528Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5754822Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5755118Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5755434Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5755625Z unimplemented [] 2025-12-04T09:39:37.5756682Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5757794Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5758057Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5758346Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5758670Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5758868Z unimplemented [] 2025-12-04T09:39:37.5759919Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5761029Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5761299Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5761590Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5761869Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5762065Z unimplemented [] 2025-12-04T09:39:37.5763107Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5764243Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5764510Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5764805Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5765079Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5765280Z unimplemented [] 2025-12-04T09:39:37.5766334Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5767447Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5767703Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5768002Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5768279Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5768473Z unimplemented [] 2025-12-04T09:39:37.5769503Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5770670Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5770948Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5771299Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5771585Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5771831Z unimplemented [] 2025-12-04T09:39:37.5772883Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5773996Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5774262Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5774564Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5774848Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5775077Z unimplemented [] 2025-12-04T09:39:37.5776124Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5777244Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5777517Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5777815Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5778199Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5778396Z unimplemented [] 2025-12-04T09:39:37.5779466Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5780584Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5780850Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5781151Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5781432Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5781623Z unimplemented [] 2025-12-04T09:39:37.5782681Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5783791Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5784055Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5784351Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5784633Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5784842Z unimplemented [] 2025-12-04T09:39:37.5785881Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5787049Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5787316Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5787655Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5787939Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5788138Z unimplemented [] 2025-12-04T09:39:37.5789229Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5790345Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5790610Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5790908Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5791188Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5791386Z unimplemented [] 2025-12-04T09:39:37.5792492Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5793613Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5793875Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5794169Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5794443Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5794636Z unimplemented [] 2025-12-04T09:39:37.5795678Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5796782Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5797044Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5797341Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5797613Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5797802Z unimplemented [] 2025-12-04T09:39:37.5798851Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5799972Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5800241Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5800528Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5800820Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5801016Z unimplemented [] 2025-12-04T09:39:37.5802059Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5803222Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5803481Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5803785Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5804101Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5804289Z unimplemented [] 2025-12-04T09:39:37.5805367Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5806475Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5806744Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5807041Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5807319Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5807514Z unimplemented [] 2025-12-04T09:39:37.5808598Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5809719Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5809991Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5810293Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5810570Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5810776Z unimplemented [] 2025-12-04T09:39:37.5811821Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5813206Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5813479Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5813783Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5814064Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5814264Z unimplemented [] 2025-12-04T09:39:37.5815298Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5816420Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5816695Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5816989Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5817259Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5817455Z unimplemented [] 2025-12-04T09:39:37.5818589Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5819828Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5820091Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5820389Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5820671Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5820926Z unimplemented [] 2025-12-04T09:39:37.5822029Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5823139Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5823408Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5823706Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5823976Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5824168Z unimplemented [] 2025-12-04T09:39:37.5825282Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5826417Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5826677Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5826974Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5827254Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5827441Z unimplemented [] 2025-12-04T09:39:37.5828482Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5829590Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5829855Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5830149Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5830429Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5830628Z unimplemented [] 2025-12-04T09:39:37.5831674Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5832780Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5833047Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5833351Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5833631Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5833819Z unimplemented [] 2025-12-04T09:39:37.5834861Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5836019Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5836294Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5836588Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5836873Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5837073Z unimplemented [] 2025-12-04T09:39:37.5838185Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5839295Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5839559Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5839857Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5840622Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5840832Z unimplemented [] 2025-12-04T09:39:37.5841966Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5843114Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5843376Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5843675Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5843958Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5844151Z unimplemented [] 2025-12-04T09:39:37.5845190Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5846312Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5846579Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5846922Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.5847249Z Traceback (most recent call last): 2025-12-04T09:39:37.5847736Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5848232Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.5848672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.5849129Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.5849772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.5850310Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.5850609Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.5850771Z 2025-12-04T09:39:37.5850843Z Expected 2 but got 4. 2025-12-04T09:39:37.5851028Z Absolute difference: 2 2025-12-04T09:39:37.5851205Z Relative difference: 1.0 2025-12-04T09:39:37.5851336Z 2025-12-04T09:39:37.5851468Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.5852133Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5852623Z 2025-12-04T09:39:37.5852945Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.5853417Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5853712Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.5853915Z unimplemented [] 2025-12-04T09:39:37.5854984Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.5856214Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.5856494Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.5856802Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5857088Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5857282Z unimplemented [] 2025-12-04T09:39:37.5858491Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5859615Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5859897Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5860208Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5860494Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5860697Z unimplemented [] 2025-12-04T09:39:37.5861733Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5862847Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5863112Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5863424Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5863704Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5863902Z unimplemented [] 2025-12-04T09:39:37.5864947Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5866062Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5866323Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5866636Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5866910Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5867102Z unimplemented [] 2025-12-04T09:39:37.5868139Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5869245Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5869509Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5869807Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5870125Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5870329Z unimplemented [] 2025-12-04T09:39:37.5871385Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5872619Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5872884Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5873184Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5873462Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5873651Z unimplemented [] 2025-12-04T09:39:37.5874690Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5875845Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5876115Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5876404Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5876693Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5876899Z unimplemented [] 2025-12-04T09:39:37.5877943Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5879049Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5879316Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5879615Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5879899Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5880088Z unimplemented [] 2025-12-04T09:39:37.5881138Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5882250Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5882515Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5882807Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5883087Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5883287Z unimplemented [] 2025-12-04T09:39:37.5884325Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5885435Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5885703Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5886010Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5886282Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5886540Z unimplemented [] 2025-12-04T09:39:37.5887584Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5888734Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5889030Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5889328Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5889611Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5889813Z unimplemented [] 2025-12-04T09:39:37.5890856Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5891961Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5892266Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5892563Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5892835Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5893028Z unimplemented [] 2025-12-04T09:39:37.5894069Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5895177Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5895446Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5895740Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5896024Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5896215Z unimplemented [] 2025-12-04T09:39:37.5897259Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5898507Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5898777Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5899071Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5899355Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5899569Z unimplemented [] 2025-12-04T09:39:37.5900636Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5901748Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5902012Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5902308Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5902586Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5902789Z unimplemented [] 2025-12-04T09:39:37.5903888Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5905040Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5905305Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5905633Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5905912Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5906109Z unimplemented [] 2025-12-04T09:39:37.5907155Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5908263Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5908541Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5908875Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5909152Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5909349Z unimplemented [] 2025-12-04T09:39:37.5910409Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5911522Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5911780Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5912367Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5912654Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5912854Z unimplemented [] 2025-12-04T09:39:37.5913896Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5915012Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5915293Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5915604Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5915892Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5916099Z unimplemented [] 2025-12-04T09:39:37.5917152Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5918279Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5918559Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5918864Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5919157Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5919347Z unimplemented [] 2025-12-04T09:39:37.5920393Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5921670Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5921944Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5922239Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5922582Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5922782Z unimplemented [] 2025-12-04T09:39:37.5923828Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5924940Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5925203Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5925566Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5925850Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5926042Z unimplemented [] 2025-12-04T09:39:37.5927099Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5928222Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5928504Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5928800Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5929082Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5929279Z unimplemented [] 2025-12-04T09:39:37.5930323Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5931427Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5931699Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5932001Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5932280Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5932476Z unimplemented [] 2025-12-04T09:39:37.5933532Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5934644Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5934911Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5935207Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5935490Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5935689Z unimplemented [] 2025-12-04T09:39:37.5936721Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5937887Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5938290Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5938610Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5938887Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5939123Z unimplemented [] 2025-12-04T09:39:37.5940170Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5941284Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5941550Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5941848Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5942168Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5942360Z unimplemented [] 2025-12-04T09:39:37.5943401Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5944514Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5944779Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5945077Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5945349Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5945540Z unimplemented [] 2025-12-04T09:39:37.5946583Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5947707Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5947965Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5948260Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5948547Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5948739Z unimplemented [] 2025-12-04T09:39:37.5949785Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5950893Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5951156Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5951446Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5951725Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5951922Z unimplemented [] 2025-12-04T09:39:37.5952966Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5954136Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5954407Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5954766Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5955045Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5955242Z unimplemented [] 2025-12-04T09:39:37.5956330Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5957446Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5957716Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5958008Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5958300Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5958499Z unimplemented [] 2025-12-04T09:39:37.5959578Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5960690Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5960961Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5961279Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5961558Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5961760Z unimplemented [] 2025-12-04T09:39:37.5962808Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5963934Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5964197Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5964499Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5964779Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5964977Z unimplemented [] 2025-12-04T09:39:37.5966018Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5967132Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5967399Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5967708Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5967992Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5968187Z unimplemented [] 2025-12-04T09:39:37.5969229Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5970382Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5970645Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5970948Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5971278Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5971467Z unimplemented [] 2025-12-04T09:39:37.5972544Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5973659Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5973940Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5974235Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5974517Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5974730Z unimplemented [] 2025-12-04T09:39:37.5975821Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5976927Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5977195Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5977541Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.5977877Z Traceback (most recent call last): 2025-12-04T09:39:37.5978465Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5978967Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.5979419Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.5979880Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.5980383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.5980909Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.5981213Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.5981370Z 2025-12-04T09:39:37.5981443Z Expected 2 but got 4. 2025-12-04T09:39:37.5981629Z Absolute difference: 2 2025-12-04T09:39:37.5981821Z Relative difference: 1.0 2025-12-04T09:39:37.5981943Z 2025-12-04T09:39:37.5982078Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.5982554Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.5982904Z 2025-12-04T09:39:37.5983079Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.5983462Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5983747Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.5983951Z unimplemented [] 2025-12-04T09:39:37.5985019Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.5986216Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.5986488Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.5986794Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5987079Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5987278Z unimplemented [] 2025-12-04T09:39:37.5988411Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5989542Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5989815Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5990129Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5990413Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5990612Z unimplemented [] 2025-12-04T09:39:37.5991703Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5992825Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5993085Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5993381Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5993665Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5993857Z unimplemented [] 2025-12-04T09:39:37.5994810Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5994910Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5995011Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5995140Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5995212Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5995291Z unimplemented [] 2025-12-04T09:39:37.5996239Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5996341Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5996437Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5996565Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5996644Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5996709Z unimplemented [] 2025-12-04T09:39:37.5997664Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5997759Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5997906Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5998040Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5998111Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5998174Z unimplemented [] 2025-12-04T09:39:37.5999158Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.5999289Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.5999390Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.5999518Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.5999595Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.5999665Z unimplemented [] 2025-12-04T09:39:37.6000646Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6000749Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6000844Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6000972Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6001061Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6001129Z unimplemented [] 2025-12-04T09:39:37.6002083Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6002180Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6002279Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6002412Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6002483Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6002556Z unimplemented [] 2025-12-04T09:39:37.6003503Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6003600Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6003715Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6003844Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6003924Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6003991Z unimplemented [] 2025-12-04T09:39:37.6004946Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6005052Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6005147Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6005319Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6005396Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6005463Z unimplemented [] 2025-12-04T09:39:37.6006451Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6006581Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6006676Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6006815Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6006886Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6006960Z unimplemented [] 2025-12-04T09:39:37.6007940Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6008037Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6008138Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6008267Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6008346Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6008414Z unimplemented [] 2025-12-04T09:39:37.6009362Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6009465Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6009560Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6009698Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6009769Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6009836Z unimplemented [] 2025-12-04T09:39:37.6010788Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6010884Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6010987Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6011116Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6011190Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6011263Z unimplemented [] 2025-12-04T09:39:37.6012452Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6012558Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6012655Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6012783Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6012947Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6013014Z unimplemented [] 2025-12-04T09:39:37.6013974Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6014180Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6014279Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6014411Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6014480Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6014544Z unimplemented [] 2025-12-04T09:39:37.6015515Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6015690Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6015794Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6015925Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6015999Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6016069Z unimplemented [] 2025-12-04T09:39:37.6017012Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6017115Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6017208Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6017337Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6017415Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6017479Z unimplemented [] 2025-12-04T09:39:37.6018538Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6018634Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6018731Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6018865Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6018948Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6019013Z unimplemented [] 2025-12-04T09:39:37.6019988Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6020085Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6020188Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6020315Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6020432Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6020504Z unimplemented [] 2025-12-04T09:39:37.6021455Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6021599Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6021733Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6021863Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6021940Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6022004Z unimplemented [] 2025-12-04T09:39:37.6022958Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6023056Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6023186Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6023321Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6023390Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6023455Z unimplemented [] 2025-12-04T09:39:37.6024409Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6024503Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6024605Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6024733Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6024807Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6024881Z unimplemented [] 2025-12-04T09:39:37.6025831Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6025934Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6026032Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6026160Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6026237Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6026303Z unimplemented [] 2025-12-04T09:39:37.6027259Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6027355Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6027452Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6027585Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6027655Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6027727Z unimplemented [] 2025-12-04T09:39:37.6028721Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6028853Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6028961Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6029127Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6029206Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6029273Z unimplemented [] 2025-12-04T09:39:37.6030218Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6030324Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6030453Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6030592Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6030664Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6030729Z unimplemented [] 2025-12-04T09:39:37.6031675Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6031773Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6031875Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6032006Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6032078Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6032154Z unimplemented [] 2025-12-04T09:39:37.6033099Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6033212Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6033311Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6033441Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6033520Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6033586Z unimplemented [] 2025-12-04T09:39:37.6034529Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6034635Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6034729Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6034864Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6034935Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6035001Z unimplemented [] 2025-12-04T09:39:37.6035946Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6036117Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6036217Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6036378Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6036449Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6036519Z unimplemented [] 2025-12-04T09:39:37.6037468Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6037570Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6037662Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6037823Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6037904Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6037969Z unimplemented [] 2025-12-04T09:39:37.6038913Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6039011Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6039107Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6039240Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6039309Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6039373Z unimplemented [] 2025-12-04T09:39:37.6040333Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6040430Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6040529Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6040656Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6040728Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6040797Z unimplemented [] 2025-12-04T09:39:37.6041742Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6041841Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6041936Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6042064Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6042140Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6042205Z unimplemented [] 2025-12-04T09:39:37.6043154Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6043291Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6043422Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6043558Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6043628Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6043744Z unimplemented [] 2025-12-04T09:39:37.6044702Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6044800Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6044900Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6045033Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6045138Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6045210Z unimplemented [] 2025-12-04T09:39:37.6046168Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6046270Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6046366Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6046543Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.6046632Z Traceback (most recent call last): 2025-12-04T09:39:37.6046972Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.6047069Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.6047348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.6047455Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.6047779Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.6047912Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.6048000Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6048010Z 2025-12-04T09:39:37.6048084Z Expected 2 but got 4. 2025-12-04T09:39:37.6048157Z Absolute difference: 2 2025-12-04T09:39:37.6048237Z Relative difference: 1.0 2025-12-04T09:39:37.6048240Z 2025-12-04T09:39:37.6048378Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6048649Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.6048655Z 2025-12-04T09:39:37.6048828Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6048962Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6049043Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.6049110Z unimplemented [] 2025-12-04T09:39:37.6050073Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.6050242Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.6050339Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.6050479Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6050588Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6050654Z unimplemented [] 2025-12-04T09:39:37.6058838Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6059028Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6059145Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6059298Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6059374Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6059447Z unimplemented [] 2025-12-04T09:39:37.6060490Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6060601Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6060705Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6060843Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6060925Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6060990Z unimplemented [] 2025-12-04T09:39:37.6061950Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6062069Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6062164Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6062298Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6062368Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6062430Z unimplemented [] 2025-12-04T09:39:37.6063392Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6063491Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6063583Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6063715Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6063783Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6063852Z unimplemented [] 2025-12-04T09:39:37.6064805Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6064948Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6065049Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6065188Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6065356Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6065422Z unimplemented [] 2025-12-04T09:39:37.6066413Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6066517Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6066609Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6066742Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6066809Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6066876Z unimplemented [] 2025-12-04T09:39:37.6067877Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6067974Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6068072Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6068196Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6068264Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6068336Z unimplemented [] 2025-12-04T09:39:37.6069293Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6069399Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6069492Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6069620Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6069705Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6069772Z unimplemented [] 2025-12-04T09:39:37.6070744Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6070848Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6070943Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6071081Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6071154Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6071219Z unimplemented [] 2025-12-04T09:39:37.6072179Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6072312Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6072411Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6072536Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6072604Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6072713Z unimplemented [] 2025-12-04T09:39:37.6073686Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6073788Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6073882Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6074008Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6074084Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6074148Z unimplemented [] 2025-12-04T09:39:37.6075129Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6075228Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6075320Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6075452Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6075520Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6075582Z unimplemented [] 2025-12-04T09:39:37.6076526Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6076623Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6076722Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6076852Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6076919Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6076999Z unimplemented [] 2025-12-04T09:39:37.6077943Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6078041Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6078134Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6078259Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6078336Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6078401Z unimplemented [] 2025-12-04T09:39:37.6079351Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6079444Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6079585Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6079718Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6079785Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6079849Z unimplemented [] 2025-12-04T09:39:37.6080833Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6080961Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6081067Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6081199Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6081271Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6081338Z unimplemented [] 2025-12-04T09:39:37.6082323Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6082429Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6082526Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6082654Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6082729Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6082790Z unimplemented [] 2025-12-04T09:39:37.6083730Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6083827Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6083923Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6084053Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6084121Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6084190Z unimplemented [] 2025-12-04T09:39:37.6085133Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6085225Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6085324Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6085447Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6085524Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6085585Z unimplemented [] 2025-12-04T09:39:37.6086523Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6086634Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6086727Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6086927Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6086997Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6087060Z unimplemented [] 2025-12-04T09:39:37.6088066Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6088199Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6088297Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6088425Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6088492Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6088564Z unimplemented [] 2025-12-04T09:39:37.6089539Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6089642Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6089735Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6089861Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6089939Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6090001Z unimplemented [] 2025-12-04T09:39:37.6090947Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6091051Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6091143Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6091276Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6091344Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6091405Z unimplemented [] 2025-12-04T09:39:37.6092347Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6092442Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6092541Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6092666Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6092733Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6092806Z unimplemented [] 2025-12-04T09:39:37.6093751Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6093850Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6093942Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6094065Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6094193Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6094258Z unimplemented [] 2025-12-04T09:39:37.6095200Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6095368Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6095461Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6095592Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6095665Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6095731Z unimplemented [] 2025-12-04T09:39:37.6096710Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6096807Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6096905Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6097031Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6097100Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6097171Z unimplemented [] 2025-12-04T09:39:37.6098218Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6098321Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6098415Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6098540Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6098619Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6098682Z unimplemented [] 2025-12-04T09:39:37.6099628Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6099719Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6099812Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6099942Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6100012Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6100083Z unimplemented [] 2025-12-04T09:39:37.6101047Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6101144Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6101240Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6101365Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6101483Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6101549Z unimplemented [] 2025-12-04T09:39:37.6102490Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6102623Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6102749Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6102876Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6102949Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6103012Z unimplemented [] 2025-12-04T09:39:37.6103973Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6104103Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6104198Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6104329Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6104397Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6104466Z unimplemented [] 2025-12-04T09:39:37.6105405Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6105503Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6105611Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6105738Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6105814Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6105878Z unimplemented [] 2025-12-04T09:39:37.6106818Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6106918Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6107009Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6107141Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6107209Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6107273Z unimplemented [] 2025-12-04T09:39:37.6108221Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6108315Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6108405Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6108532Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6108600Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6108708Z unimplemented [] 2025-12-04T09:39:37.6109647Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6109773Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6109872Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6110029Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6110103Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6110164Z unimplemented [] 2025-12-04T09:39:37.6111115Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6111216Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6111367Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6111514Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6111583Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6111645Z unimplemented [] 2025-12-04T09:39:37.6112918Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6113025Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6113126Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6113253Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6113322Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6113404Z unimplemented [] 2025-12-04T09:39:37.6114352Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6114450Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6114542Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6114715Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.6114805Z Traceback (most recent call last): 2025-12-04T09:39:37.6115158Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.6115250Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.6115565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.6115673Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.6116002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.6116134Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.6116222Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6116227Z 2025-12-04T09:39:37.6116306Z Expected 2 but got 4. 2025-12-04T09:39:37.6116491Z Absolute difference: 2 2025-12-04T09:39:37.6116563Z Relative difference: 1.0 2025-12-04T09:39:37.6116567Z 2025-12-04T09:39:37.6116711Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6116985Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.6117049Z 2025-12-04T09:39:37.6117230Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6117364Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6117491Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.6117565Z unimplemented [] 2025-12-04T09:39:37.6118534Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.6118648Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.6118747Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.6118875Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6119028Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6119099Z unimplemented [] 2025-12-04T09:39:37.6120074Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6120174Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6120267Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6120404Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6120473Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6120537Z unimplemented [] 2025-12-04T09:39:37.6121489Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6121584Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6121694Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6121823Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6121890Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6121959Z unimplemented [] 2025-12-04T09:39:37.6122907Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6123009Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6123109Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6123237Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6123309Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6123374Z unimplemented [] 2025-12-04T09:39:37.6124331Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6124468Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6124563Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6124732Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6124803Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6124870Z unimplemented [] 2025-12-04T09:39:37.6125850Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6125954Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6126065Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6126195Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6126268Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6126378Z unimplemented [] 2025-12-04T09:39:37.6127331Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6127433Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6127526Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6127660Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6127734Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6127796Z unimplemented [] 2025-12-04T09:39:37.6128748Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6128844Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6128944Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6129076Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6129144Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6129213Z unimplemented [] 2025-12-04T09:39:37.6130157Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6130256Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6130354Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6130488Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6130563Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6130624Z unimplemented [] 2025-12-04T09:39:37.6131565Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6131710Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6131800Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6131932Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6132044Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6132106Z unimplemented [] 2025-12-04T09:39:37.6133082Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6133177Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6133276Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6133399Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6133468Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6133539Z unimplemented [] 2025-12-04T09:39:37.6134539Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6134642Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6134733Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6134858Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6134933Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6134996Z unimplemented [] 2025-12-04T09:39:37.6135941Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6136042Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6136136Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6136269Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6136338Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6136404Z unimplemented [] 2025-12-04T09:39:37.6137360Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6137460Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6137572Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6137697Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6137767Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6137836Z unimplemented [] 2025-12-04T09:39:37.6138894Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6139041Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6139133Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6139259Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6139370Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6139435Z unimplemented [] 2025-12-04T09:39:37.6140448Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6140545Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6140638Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6140773Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6140842Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6140905Z unimplemented [] 2025-12-04T09:39:37.6141893Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6141990Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6142088Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6142223Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6142291Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6142363Z unimplemented [] 2025-12-04T09:39:37.6143305Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6143404Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6143495Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6143619Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6143692Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6143753Z unimplemented [] 2025-12-04T09:39:37.6144699Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6144792Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6144885Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6145017Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6145083Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6145168Z unimplemented [] 2025-12-04T09:39:37.6146113Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6146254Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6146345Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6146469Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6146548Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6146657Z unimplemented [] 2025-12-04T09:39:37.6147640Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6147734Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6147837Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6147973Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6148040Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6148105Z unimplemented [] 2025-12-04T09:39:37.6149547Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6149669Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6149773Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6149902Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6149975Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6150046Z unimplemented [] 2025-12-04T09:39:37.6151161Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6151270Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6151364Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6151494Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6151737Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6151806Z unimplemented [] 2025-12-04T09:39:37.6153035Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6153139Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6153234Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6153383Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6153453Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6153525Z unimplemented [] 2025-12-04T09:39:37.6154470Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6154564Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6154730Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6154855Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6157067Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6157185Z unimplemented [] 2025-12-04T09:39:37.6158287Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6158399Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6158498Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6158634Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6158713Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6158777Z unimplemented [] 2025-12-04T09:39:37.6159769Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6159880Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6159982Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6160109Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6160176Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6160246Z unimplemented [] 2025-12-04T09:39:37.6161197Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6161300Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6161394Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6161517Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6161593Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6161659Z unimplemented [] 2025-12-04T09:39:37.6162605Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6162705Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6162798Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6162935Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6163005Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6163071Z unimplemented [] 2025-12-04T09:39:37.6164015Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6164117Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6164262Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6164389Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6164464Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6164529Z unimplemented [] 2025-12-04T09:39:37.6165598Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6165740Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6165838Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6165965Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6166040Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6166104Z unimplemented [] 2025-12-04T09:39:37.6167054Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6167158Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6167254Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6167385Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6167452Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6167521Z unimplemented [] 2025-12-04T09:39:37.6168465Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6168562Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6168671Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6168798Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6168870Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6168936Z unimplemented [] 2025-12-04T09:39:37.6169872Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6169974Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6170067Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6170200Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6170269Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6170333Z unimplemented [] 2025-12-04T09:39:37.6171285Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6171380Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6171477Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6171664Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6171737Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6171806Z unimplemented [] 2025-12-04T09:39:37.6172829Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6173009Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6173109Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6173256Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6173335Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6173402Z unimplemented [] 2025-12-04T09:39:37.6174366Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6174481Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6174577Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6174716Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6174786Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6174849Z unimplemented [] 2025-12-04T09:39:37.6175808Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6175904Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6176007Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6176136Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6176205Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6176277Z unimplemented [] 2025-12-04T09:39:37.6177222Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6177323Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6177417Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6177544Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6177619Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6177682Z unimplemented [] 2025-12-04T09:39:37.6178757Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6178860Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6178954Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6179085Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6179208Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6179271Z unimplemented [] 2025-12-04T09:39:37.6180255Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6180383Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6180512Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6180686Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.6180777Z Traceback (most recent call last): 2025-12-04T09:39:37.6181128Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.6181216Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.6181502Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.6181611Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.6181926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.6182068Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.6182152Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6182157Z 2025-12-04T09:39:37.6182226Z Expected 2 but got 4. 2025-12-04T09:39:37.6182312Z Absolute difference: 2 2025-12-04T09:39:37.6182384Z Relative difference: 1.0 2025-12-04T09:39:37.6182387Z 2025-12-04T09:39:37.6182526Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6182786Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.6182792Z 2025-12-04T09:39:37.6182958Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6183099Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6183173Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.6183256Z unimplemented [] 2025-12-04T09:39:37.6184223Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.6184323Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.6184426Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.6184557Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6184633Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6184697Z unimplemented [] 2025-12-04T09:39:37.6185648Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6185753Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6185846Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6185972Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6186047Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6186110Z unimplemented [] 2025-12-04T09:39:37.6187206Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6187336Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6187428Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6187605Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6187678Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6187746Z unimplemented [] 2025-12-04T09:39:37.6188715Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6188813Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6188920Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6189048Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6189121Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6189185Z unimplemented [] 2025-12-04T09:39:37.6190128Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6190229Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6190323Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6190455Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6190524Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6190587Z unimplemented [] 2025-12-04T09:39:37.6191543Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6191637Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6191737Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6191862Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6191931Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6191998Z unimplemented [] 2025-12-04T09:39:37.6192946Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6193046Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6193140Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6193265Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6193346Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6193413Z unimplemented [] 2025-12-04T09:39:37.6194407Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6194540Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6194667Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6194810Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6194917Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6194984Z unimplemented [] 2025-12-04T09:39:37.6195938Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6196033Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6196132Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6196260Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6196329Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6196400Z unimplemented [] 2025-12-04T09:39:37.6197344Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6197448Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6197542Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6197671Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6197746Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6197811Z unimplemented [] 2025-12-04T09:39:37.6198766Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6198865Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6198968Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6199103Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6199175Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6199240Z unimplemented [] 2025-12-04T09:39:37.6200193Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6200286Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6200384Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6200510Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6200577Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6200646Z unimplemented [] 2025-12-04T09:39:37.6201603Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6201806Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6201931Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6202059Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6202133Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6202233Z unimplemented [] 2025-12-04T09:39:37.6203179Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6203285Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6203379Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6203510Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6203578Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6203652Z unimplemented [] 2025-12-04T09:39:37.6204604Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6204696Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6204792Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6204918Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6204986Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6205054Z unimplemented [] 2025-12-04T09:39:37.6205994Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6206102Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6206197Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6206321Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6206395Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6206458Z unimplemented [] 2025-12-04T09:39:37.6207405Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6207505Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6207597Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6207729Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6207800Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6207867Z unimplemented [] 2025-12-04T09:39:37.6208809Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6208943Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6209088Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6209248Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6209322Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6209385Z unimplemented [] 2025-12-04T09:39:37.6210381Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6210490Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6210583Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6210717Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6210787Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6210850Z unimplemented [] 2025-12-04T09:39:37.6211815Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6211909Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6212286Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6212421Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6212492Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6212562Z unimplemented [] 2025-12-04T09:39:37.6213522Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6213628Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6213720Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6213847Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6213921Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6213983Z unimplemented [] 2025-12-04T09:39:37.6214941Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6215046Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6215139Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6215274Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6215344Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6215407Z unimplemented [] 2025-12-04T09:39:37.6216354Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6216527Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6216628Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6216823Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6216947Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6217022Z unimplemented [] 2025-12-04T09:39:37.6218032Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6218224Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6218321Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6218450Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6218534Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6218599Z unimplemented [] 2025-12-04T09:39:37.6219549Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6219652Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6219745Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6219879Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6219948Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6220015Z unimplemented [] 2025-12-04T09:39:37.6220966Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6221069Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6221172Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6221300Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6221367Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6221437Z unimplemented [] 2025-12-04T09:39:37.6222380Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6222484Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6222578Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6222706Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6222779Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6222843Z unimplemented [] 2025-12-04T09:39:37.6223803Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6223941Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6224033Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6224212Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6224283Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6224382Z unimplemented [] 2025-12-04T09:39:37.6225389Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6225485Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6225582Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6225708Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6225774Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6225844Z unimplemented [] 2025-12-04T09:39:37.6226799Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6226900Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6226991Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6227117Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6227189Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6227252Z unimplemented [] 2025-12-04T09:39:37.6228198Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6228293Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6228386Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6228517Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6228585Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6228654Z unimplemented [] 2025-12-04T09:39:37.6229594Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6229689Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6229791Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6229919Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6229993Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6230057Z unimplemented [] 2025-12-04T09:39:37.6230996Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6231149Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6231241Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6231374Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6231487Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6231554Z unimplemented [] 2025-12-04T09:39:37.6232571Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6232669Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6232761Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6232891Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6232960Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6233029Z unimplemented [] 2025-12-04T09:39:37.6233976Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6234071Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6234170Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6234297Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6234371Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6234435Z unimplemented [] 2025-12-04T09:39:37.6235377Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6235479Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6235572Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6235702Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6235772Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6235834Z unimplemented [] 2025-12-04T09:39:37.6236801Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6236906Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6236999Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6237127Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6237205Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6237268Z unimplemented [] 2025-12-04T09:39:37.6238228Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6238323Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6238459Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6238603Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6238672Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6238734Z unimplemented [] 2025-12-04T09:39:37.6239763Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6239892Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6239991Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6240118Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6240187Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6240272Z unimplemented [] 2025-12-04T09:39:37.6241220Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6241326Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6241418Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6241542Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6241618Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6241678Z unimplemented [] 2025-12-04T09:39:37.6242622Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6242717Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6242810Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6242941Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6243012Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6243080Z unimplemented [] 2025-12-04T09:39:37.6244022Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6244117Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6244214Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6244396Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.6244481Z Traceback (most recent call last): 2025-12-04T09:39:37.6244822Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.6244908Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.6245193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.6245298Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.6245610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.6245794Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.6245881Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6245885Z 2025-12-04T09:39:37.6245959Z Expected 2 but got 4. 2025-12-04T09:39:37.6246025Z Absolute difference: 2 2025-12-04T09:39:37.6246134Z Relative difference: 1.0 2025-12-04T09:39:37.6246138Z 2025-12-04T09:39:37.6246310Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6246569Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.6246573Z 2025-12-04T09:39:37.6246778Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6246908Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6246977Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.6247057Z unimplemented [] 2025-12-04T09:39:37.6248017Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.6248122Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.6248217Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.6248342Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6248417Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6248480Z unimplemented [] 2025-12-04T09:39:37.6249432Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6249531Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6249625Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6249762Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6249830Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6249894Z unimplemented [] 2025-12-04T09:39:37.6250851Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6250944Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6251045Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6251177Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6251247Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6251318Z unimplemented [] 2025-12-04T09:39:37.6252802Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6252925Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6253023Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6253157Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6253235Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6253364Z unimplemented [] 2025-12-04T09:39:37.6254671Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6254866Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6255183Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6255340Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6255416Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6255483Z unimplemented [] 2025-12-04T09:39:37.6256461Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6256570Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6256674Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6256809Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6256886Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6256962Z unimplemented [] 2025-12-04T09:39:37.6257918Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6258022Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6258205Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6258336Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6258412Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6258478Z unimplemented [] 2025-12-04T09:39:37.6259449Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6259546Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6259639Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6259774Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6259843Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6259905Z unimplemented [] 2025-12-04T09:39:37.6260865Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6260963Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6261063Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6261191Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6261261Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6261332Z unimplemented [] 2025-12-04T09:39:37.6263058Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6263213Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6263306Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6263467Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6263548Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6263614Z unimplemented [] 2025-12-04T09:39:37.6264571Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6264671Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6264766Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6264900Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6264969Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6265038Z unimplemented [] 2025-12-04T09:39:37.6265985Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6266079Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6266177Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6266302Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6266376Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6266439Z unimplemented [] 2025-12-04T09:39:37.6267386Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6267488Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6267580Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6267709Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6267777Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6267839Z unimplemented [] 2025-12-04T09:39:37.6268786Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6268884Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6268975Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6269117Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6269185Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6269254Z unimplemented [] 2025-12-04T09:39:37.6270240Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6270400Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6270498Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6270633Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6270744Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6270809Z unimplemented [] 2025-12-04T09:39:37.6271753Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6271854Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6271946Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6272076Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6272156Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6272219Z unimplemented [] 2025-12-04T09:39:37.6273167Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6273260Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6273359Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6273484Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6273552Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6273619Z unimplemented [] 2025-12-04T09:39:37.6274574Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6274676Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6274768Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6274893Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6274973Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6275042Z unimplemented [] 2025-12-04T09:39:37.6275981Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6276080Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6276175Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6276307Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6276377Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6276440Z unimplemented [] 2025-12-04T09:39:37.6277387Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6277563Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6277701Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6277826Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6277894Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6278007Z unimplemented [] 2025-12-04T09:39:37.6278946Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6279049Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6279141Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6279268Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6279344Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6279408Z unimplemented [] 2025-12-04T09:39:37.6280357Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6280450Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6280542Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6280675Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6280743Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6280816Z unimplemented [] 2025-12-04T09:39:37.6281772Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6281865Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6281965Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6282090Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6282157Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6282238Z unimplemented [] 2025-12-04T09:39:37.6283186Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6283287Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6283388Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6283516Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6283592Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6283656Z unimplemented [] 2025-12-04T09:39:37.6284607Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6284830Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6284927Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6285099Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6285178Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6285243Z unimplemented [] 2025-12-04T09:39:37.6286245Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6286345Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6286448Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6286573Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6286642Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6286713Z unimplemented [] 2025-12-04T09:39:37.6287670Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6287771Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6287862Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6287987Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6288065Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6288128Z unimplemented [] 2025-12-04T09:39:37.6289072Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6289167Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6289258Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6289386Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6289454Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6289521Z unimplemented [] 2025-12-04T09:39:37.6290467Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6290572Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6290672Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6290798Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6290874Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6290936Z unimplemented [] 2025-12-04T09:39:37.6291877Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6292018Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6292152Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6292288Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6292390Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6292452Z unimplemented [] 2025-12-04T09:39:37.6293447Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6293543Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6293647Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6293772Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6293844Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6293914Z unimplemented [] 2025-12-04T09:39:37.6294859Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6294957Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6295050Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6295175Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6295252Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6295315Z unimplemented [] 2025-12-04T09:39:37.6296274Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6296382Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6296481Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6296623Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6296694Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6296757Z unimplemented [] 2025-12-04T09:39:37.6297715Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6297815Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6297919Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6298051Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6298225Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6298306Z unimplemented [] 2025-12-04T09:39:37.6299252Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6299396Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6299491Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6299652Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6299762Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6299828Z unimplemented [] 2025-12-04T09:39:37.6300870Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6300974Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6301068Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6301203Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6301271Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6301334Z unimplemented [] 2025-12-04T09:39:37.6302290Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6302394Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6302494Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6302621Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6302690Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6302763Z unimplemented [] 2025-12-04T09:39:37.6303710Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6303811Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6303905Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6304033Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6304109Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6304173Z unimplemented [] 2025-12-04T09:39:37.6305129Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6305240Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6305334Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6305477Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6305549Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6305615Z unimplemented [] 2025-12-04T09:39:37.6306564Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6306715Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6306821Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6306952Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6307056Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6307128Z unimplemented [] 2025-12-04T09:39:37.6308142Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6308249Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6308346Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6308477Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6308557Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6308621Z unimplemented [] 2025-12-04T09:39:37.6309574Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6309671Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6309777Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6309910Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6309979Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6310045Z unimplemented [] 2025-12-04T09:39:37.6310991Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6311089Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6311187Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6311359Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.6311444Z Traceback (most recent call last): 2025-12-04T09:39:37.6311785Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.6311871Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.6312401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.6312510Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.6312827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.6312962Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.6313051Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6313055Z 2025-12-04T09:39:37.6313142Z Expected 2 but got 4. 2025-12-04T09:39:37.6313212Z Absolute difference: 2 2025-12-04T09:39:37.6313287Z Relative difference: 1.0 2025-12-04T09:39:37.6313291Z 2025-12-04T09:39:37.6313429Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6313689Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.6313693Z 2025-12-04T09:39:37.6313867Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6314135Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6314208Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.6314278Z unimplemented [] 2025-12-04T09:39:37.6315333Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.6315487Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.6315586Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.6315726Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6315803Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6315868Z unimplemented [] 2025-12-04T09:39:37.6316820Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6316923Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6317016Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6317150Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6317219Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6317286Z unimplemented [] 2025-12-04T09:39:37.6318237Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6318346Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6318448Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6318576Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6318647Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6318719Z unimplemented [] 2025-12-04T09:39:37.6319666Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6319765Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6319858Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6319985Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6320062Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6320137Z unimplemented [] 2025-12-04T09:39:37.6321078Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6321177Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6321269Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6321402Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6321515Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6321580Z unimplemented [] 2025-12-04T09:39:37.6322561Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6322734Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6322838Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6322964Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6323033Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6323105Z unimplemented [] 2025-12-04T09:39:37.6324043Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6324146Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6324238Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6324369Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6324445Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6324508Z unimplemented [] 2025-12-04T09:39:37.6325478Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6325578Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6325673Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6325813Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6325883Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6325956Z unimplemented [] 2025-12-04T09:39:37.6326902Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6326999Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6327102Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6327237Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6327315Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6327381Z unimplemented [] 2025-12-04T09:39:37.6328325Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6328438Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6328532Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6328665Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6328777Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6328851Z unimplemented [] 2025-12-04T09:39:37.6329839Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6329969Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6330093Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6330228Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6330307Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6330380Z unimplemented [] 2025-12-04T09:39:37.6331325Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6331419Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6331522Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6331649Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6331724Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6331786Z unimplemented [] 2025-12-04T09:39:37.6332727Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6332829Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6332922Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6333053Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6333125Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6333188Z unimplemented [] 2025-12-04T09:39:37.6334134Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6334227Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6334329Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6334462Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6334532Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6334605Z unimplemented [] 2025-12-04T09:39:37.6335551Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6335660Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6335757Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6335883Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6335961Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6336068Z unimplemented [] 2025-12-04T09:39:37.6337036Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6337173Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6337263Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6337445Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6337516Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6337580Z unimplemented [] 2025-12-04T09:39:37.6338645Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6338745Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6338842Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6338985Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6339056Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6339125Z unimplemented [] 2025-12-04T09:39:37.6340070Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6340171Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6340264Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6340391Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6340467Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6340535Z unimplemented [] 2025-12-04T09:39:37.6341484Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6341578Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6341671Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6341805Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6341874Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6341936Z unimplemented [] 2025-12-04T09:39:37.6342884Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6342979Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6343080Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6343205Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6343273Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6343343Z unimplemented [] 2025-12-04T09:39:37.6344333Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6344506Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6344602Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6344761Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6344838Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6344906Z unimplemented [] 2025-12-04T09:39:37.6345860Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6345956Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6346051Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6346182Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6346253Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6346320Z unimplemented [] 2025-12-04T09:39:37.6347280Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6347376Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6347478Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6347606Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6347675Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6347746Z unimplemented [] 2025-12-04T09:39:37.6348692Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6348795Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6348888Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6349014Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6349092Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6349156Z unimplemented [] 2025-12-04T09:39:37.6350109Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6350209Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6350304Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6350447Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6350518Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6350588Z unimplemented [] 2025-12-04T09:39:37.6351581Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6351710Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6351844Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6351971Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6352080Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6352147Z unimplemented [] 2025-12-04T09:39:37.6353094Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6353196Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6353290Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6353419Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6353498Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6353565Z unimplemented [] 2025-12-04T09:39:37.6354526Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6354619Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6354718Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6354845Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6354914Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6354983Z unimplemented [] 2025-12-04T09:39:37.6355935Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6356038Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6356128Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6356257Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6356329Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6356393Z unimplemented [] 2025-12-04T09:39:37.6357336Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6357436Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6357529Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6357664Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6357733Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6357798Z unimplemented [] 2025-12-04T09:39:37.6358748Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6358929Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6359028Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6359189Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6359260Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6359328Z unimplemented [] 2025-12-04T09:39:37.6360314Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6360416Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6360509Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6360635Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6360715Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6360787Z unimplemented [] 2025-12-04T09:39:37.6361732Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6361830Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6361923Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6362064Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6362139Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6362203Z unimplemented [] 2025-12-04T09:39:37.6363156Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6363252Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6363352Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6363478Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6363547Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6363617Z unimplemented [] 2025-12-04T09:39:37.6364567Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6364669Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6364761Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6364888Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6364964Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6365028Z unimplemented [] 2025-12-04T09:39:37.6365978Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6366124Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6366251Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6366385Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6366514Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6366578Z unimplemented [] 2025-12-04T09:39:37.6367566Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6367663Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6367765Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6367892Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6367964Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6368037Z unimplemented [] 2025-12-04T09:39:37.6368989Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6369090Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6369184Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6369310Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6369391Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6369455Z unimplemented [] 2025-12-04T09:39:37.6370406Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6370501Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6370595Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6370729Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6370807Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6370878Z unimplemented [] 2025-12-04T09:39:37.6371831Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6371926Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6372034Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6372165Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6372251Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6372317Z unimplemented [] 2025-12-04T09:39:37.6373265Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6373405Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6373499Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6373664Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6373778Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6373842Z unimplemented [] 2025-12-04T09:39:37.6374832Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6374936Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6375030Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6375166Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6375234Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6375304Z unimplemented [] 2025-12-04T09:39:37.6376255Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6376351Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6376450Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6376576Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6376651Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6376718Z unimplemented [] 2025-12-04T09:39:37.6377665Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6377780Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6377874Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6378054Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.6378239Z Traceback (most recent call last): 2025-12-04T09:39:37.6378576Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.6378668Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.6378945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.6379048Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.6379368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.6379497Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.6379597Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6379602Z 2025-12-04T09:39:37.6379670Z Expected 2 but got 4. 2025-12-04T09:39:37.6379743Z Absolute difference: 2 2025-12-04T09:39:37.6379821Z Relative difference: 1.0 2025-12-04T09:39:37.6379824Z 2025-12-04T09:39:37.6379952Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6380219Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.6380268Z 2025-12-04T09:39:37.6380435Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6380564Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6380640Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.6380744Z unimplemented [] 2025-12-04T09:39:37.6381737Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.6381881Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.6381986Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.6382123Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6382194Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6382256Z unimplemented [] 2025-12-04T09:39:37.6383203Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6383301Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6383402Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6383528Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6383598Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6383683Z unimplemented [] 2025-12-04T09:39:37.6384632Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6384733Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6384831Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6384963Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6385041Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6385105Z unimplemented [] 2025-12-04T09:39:37.6386051Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6386147Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6386239Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6386374Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6386445Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6386508Z unimplemented [] 2025-12-04T09:39:37.6387459Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6387553Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6387654Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6387825Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6387895Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6387965Z unimplemented [] 2025-12-04T09:39:37.6388974Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6389105Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6389202Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6389329Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6389406Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6389472Z unimplemented [] 2025-12-04T09:39:37.6390424Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6390529Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6390625Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6390760Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6390838Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6390910Z unimplemented [] 2025-12-04T09:39:37.6391850Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6391946Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6392047Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6392173Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6392249Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6392316Z unimplemented [] 2025-12-04T09:39:37.6393261Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6393367Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6393461Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6393599Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6393669Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6393735Z unimplemented [] 2025-12-04T09:39:37.6394683Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6394778Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6394877Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6395055Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6395126Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6395196Z unimplemented [] 2025-12-04T09:39:37.6396197Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6396365Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6396466Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6396592Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6396672Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6396733Z unimplemented [] 2025-12-04T09:39:37.6397681Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6397784Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6397875Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6398014Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6398086Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6398149Z unimplemented [] 2025-12-04T09:39:37.6399097Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6399191Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6399289Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6399419Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6399489Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6399561Z unimplemented [] 2025-12-04T09:39:37.6400502Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6400599Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6400692Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6400816Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6400889Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6400954Z unimplemented [] 2025-12-04T09:39:37.6401898Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6401998Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6402089Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6402219Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6402342Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6402405Z unimplemented [] 2025-12-04T09:39:37.6403410Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6403539Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6403681Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6403820Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6403893Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6403966Z unimplemented [] 2025-12-04T09:39:37.6404915Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6405021Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6405114Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6405242Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6405320Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6405385Z unimplemented [] 2025-12-04T09:39:37.6406334Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6406428Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6406519Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6406651Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6406723Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6406787Z unimplemented [] 2025-12-04T09:39:37.6407738Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6407832Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6407932Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6408059Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6408128Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6408199Z unimplemented [] 2025-12-04T09:39:37.6409150Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6409253Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6409347Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6409472Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6409551Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6409674Z unimplemented [] 2025-12-04T09:39:37.6410664Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6410798Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6410896Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6411175Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6411306Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6411430Z unimplemented [] 2025-12-04T09:39:37.6412947Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6413143Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6413318Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6413554Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6413919Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6414177Z unimplemented [] 2025-12-04T09:39:37.6415964Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6416106Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6416252Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6422499Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6422628Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6422705Z unimplemented [] 2025-12-04T09:39:37.6423706Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6423826Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6423926Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6424074Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6424151Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6424218Z unimplemented [] 2025-12-04T09:39:37.6425310Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6425468Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6425580Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6425720Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6425793Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6425873Z unimplemented [] 2025-12-04T09:39:37.6427009Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6427186Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6427285Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6427494Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6427580Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6427648Z unimplemented [] 2025-12-04T09:39:37.6428599Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6428708Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6428806Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6428946Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6429018Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6429082Z unimplemented [] 2025-12-04T09:39:37.6430017Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6430115Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6430216Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6430345Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6430419Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6430490Z unimplemented [] 2025-12-04T09:39:37.6431417Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6431517Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6431611Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6431738Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6431815Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6431878Z unimplemented [] 2025-12-04T09:39:37.6432810Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6432906Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6432999Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6433130Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6433199Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6433262Z unimplemented [] 2025-12-04T09:39:37.6434233Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6434386Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6434521Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6434646Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6434753Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6434826Z unimplemented [] 2025-12-04T09:39:37.6435765Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6435869Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6435960Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6436089Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6436165Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6436232Z unimplemented [] 2025-12-04T09:39:37.6437168Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6437261Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6437357Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6437489Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6437559Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6437628Z unimplemented [] 2025-12-04T09:39:37.6438549Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6438643Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6438743Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6438870Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6438943Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6439011Z unimplemented [] 2025-12-04T09:39:37.6439947Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6440067Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6440239Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6440436Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6440507Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6440572Z unimplemented [] 2025-12-04T09:39:37.6441658Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6441953Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6442120Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6442275Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6442348Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6442459Z unimplemented [] 2025-12-04T09:39:37.6443562Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6443669Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6443773Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6443908Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6443985Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6444051Z unimplemented [] 2025-12-04T09:39:37.6445002Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6445104Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6445201Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6445337Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6445406Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6445474Z unimplemented [] 2025-12-04T09:39:37.6446437Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6446538Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6446637Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6446765Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6446835Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6446904Z unimplemented [] 2025-12-04T09:39:37.6448500Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6448674Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6448833Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6449058Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6449181Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6449290Z unimplemented [] 2025-12-04T09:39:37.6450952Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6451115Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6451251Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6451424Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6451495Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6451561Z unimplemented [] 2025-12-04T09:39:37.6452552Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6452649Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6452752Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6452881Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6452950Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6453020Z unimplemented [] 2025-12-04T09:39:37.6453960Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6454058Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6454159Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6454290Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6454365Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6454430Z unimplemented [] 2025-12-04T09:39:37.6455377Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6455474Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6455566Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6455696Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6455763Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6455826Z unimplemented [] 2025-12-04T09:39:37.6456912Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6457012Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6457116Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6457288Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.6457369Z Traceback (most recent call last): 2025-12-04T09:39:37.6457725Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.6457814Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.6458214Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.6458387Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.6458727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.6458910Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.6459038Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6459044Z 2025-12-04T09:39:37.6459116Z Expected 2 but got 4. 2025-12-04T09:39:37.6459193Z Absolute difference: 2 2025-12-04T09:39:37.6459264Z Relative difference: 1.0 2025-12-04T09:39:37.6459305Z 2025-12-04T09:39:37.6459462Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6459736Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.6459741Z 2025-12-04T09:39:37.6459907Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6460059Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6460132Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.6460203Z unimplemented [] 2025-12-04T09:39:37.6461177Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.6461282Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.6461388Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.6461517Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6461597Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6461666Z unimplemented [] 2025-12-04T09:39:37.6462763Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6462877Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6462974Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6463111Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6463181Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6463247Z unimplemented [] 2025-12-04T09:39:37.6464203Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6464301Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6464396Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6464536Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6464606Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6464679Z unimplemented [] 2025-12-04T09:39:37.6465627Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6465805Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6465908Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6466034Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6466153Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6466221Z unimplemented [] 2025-12-04T09:39:37.6467237Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6467340Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6467435Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6467569Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6467641Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6467704Z unimplemented [] 2025-12-04T09:39:37.6468652Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6468749Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6468850Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6468976Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6469046Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6469153Z unimplemented [] 2025-12-04T09:39:37.6470316Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6470436Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6470544Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6470682Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6470768Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6470835Z unimplemented [] 2025-12-04T09:39:37.6471827Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6471996Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6472097Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6472239Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6472317Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6472394Z unimplemented [] 2025-12-04T09:39:37.6473352Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6473455Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6473617Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6473747Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6473821Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6473894Z unimplemented [] 2025-12-04T09:39:37.6474915Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6475076Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6475172Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6475298Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6475374Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6475440Z unimplemented [] 2025-12-04T09:39:37.6476389Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6476487Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6476583Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6476712Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6476794Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6476859Z unimplemented [] 2025-12-04T09:39:37.6477806Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6477904Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6478004Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6478138Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6478210Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6478281Z unimplemented [] 2025-12-04T09:39:37.6479220Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6479320Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6479412Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6479539Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6479611Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6479676Z unimplemented [] 2025-12-04T09:39:37.6480621Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6480716Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6480810Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6481003Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6481077Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6481141Z unimplemented [] 2025-12-04T09:39:37.6482284Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6482461Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6482567Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6482696Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6482767Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6482837Z unimplemented [] 2025-12-04T09:39:37.6483781Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6483882Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6483976Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6484104Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6484178Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6484243Z unimplemented [] 2025-12-04T09:39:37.6485192Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6485287Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6485393Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6485530Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6485603Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6485672Z unimplemented [] 2025-12-04T09:39:37.6486611Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6486706Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6486805Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6486931Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6487008Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6487074Z unimplemented [] 2025-12-04T09:39:37.6488013Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6488113Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6488205Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6488338Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6488464Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6488573Z unimplemented [] 2025-12-04T09:39:37.6489659Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6489856Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6489961Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6490087Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6490165Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6490236Z unimplemented [] 2025-12-04T09:39:37.6491224Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6491402Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6491565Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6491792Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6491918Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6492027Z unimplemented [] 2025-12-04T09:39:37.6493707Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6493877Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6494036Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6494269Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6494389Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6494499Z unimplemented [] 2025-12-04T09:39:37.6495687Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6495783Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6495884Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6496010Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6496081Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6496154Z unimplemented [] 2025-12-04T09:39:37.6497109Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6497212Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6497307Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6497431Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6497505Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6497638Z unimplemented [] 2025-12-04T09:39:37.6498877Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6499025Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6499223Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6499431Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6499508Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6499586Z unimplemented [] 2025-12-04T09:39:37.6500694Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6500801Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6500916Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6501047Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6501117Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6501190Z unimplemented [] 2025-12-04T09:39:37.6502163Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6502265Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6502362Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6502490Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6502565Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6502631Z unimplemented [] 2025-12-04T09:39:37.6503588Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6503681Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6503779Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6503912Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6503980Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6504045Z unimplemented [] 2025-12-04T09:39:37.6504994Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6505089Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6505185Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6505311Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6505381Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6505451Z unimplemented [] 2025-12-04T09:39:37.6506480Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6506614Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6506707Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6506866Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6506941Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6507004Z unimplemented [] 2025-12-04T09:39:37.6507951Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6508047Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6508140Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6508273Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6508342Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6508410Z unimplemented [] 2025-12-04T09:39:37.6509352Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6509449Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6509549Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6509675Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6509752Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6509817Z unimplemented [] 2025-12-04T09:39:37.6510761Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6510860Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6510953Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6511089Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6511160Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6511224Z unimplemented [] 2025-12-04T09:39:37.6512581Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6512694Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6512793Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6512930Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6512999Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6513073Z unimplemented [] 2025-12-04T09:39:37.6514128Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6514341Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6514445Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6514577Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6514708Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6514774Z unimplemented [] 2025-12-04T09:39:37.6515737Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6515834Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6515935Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6516065Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6516139Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6516210Z unimplemented [] 2025-12-04T09:39:37.6517156Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6517257Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6517354Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6517482Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6517569Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6517682Z unimplemented [] 2025-12-04T09:39:37.6518729Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6518829Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6518926Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6519072Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6519143Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6519210Z unimplemented [] 2025-12-04T09:39:37.6520280Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6520379Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6520481Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6520610Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6520680Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6520751Z unimplemented [] 2025-12-04T09:39:37.6521704Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6521895Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6522052Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6522188Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6522267Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6522419Z unimplemented [] 2025-12-04T09:39:37.6523368Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6523466Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6523559Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6523692Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6523760Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6523831Z unimplemented [] 2025-12-04T09:39:37.6524779Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6524872Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6524971Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6525098Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6525173Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6525238Z unimplemented [] 2025-12-04T09:39:37.6526179Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6526292Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6526388Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6526522Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6526590Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6526652Z unimplemented [] 2025-12-04T09:39:37.6527598Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6527692Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6527789Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6527917Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6527987Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6528056Z unimplemented [] 2025-12-04T09:39:37.6529192Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6529441Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6529644Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6529910Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6530035Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6530146Z unimplemented [] 2025-12-04T09:39:37.6531896Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6532074Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6532237Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6532554Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.6532689Z Traceback (most recent call last): 2025-12-04T09:39:37.6533129Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.6533228Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.6533526Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.6533641Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.6533964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.6534099Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.6534197Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6534202Z 2025-12-04T09:39:37.6534273Z Expected 2 but got 4. 2025-12-04T09:39:37.6534343Z Absolute difference: 2 2025-12-04T09:39:37.6534421Z Relative difference: 1.0 2025-12-04T09:39:37.6534427Z 2025-12-04T09:39:37.6534562Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6534837Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.6534840Z 2025-12-04T09:39:37.6535014Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6535151Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6535230Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.6535295Z unimplemented [] 2025-12-04T09:39:37.6536271Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.6536374Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.6536474Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.6536623Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6536694Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6536762Z unimplemented [] 2025-12-04T09:39:37.6537717Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6537864Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6537967Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6538276Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6538360Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6538472Z unimplemented [] 2025-12-04T09:39:37.6539457Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6539563Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6539663Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6539794Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6539871Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6539935Z unimplemented [] 2025-12-04T09:39:37.6540882Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6540980Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6541078Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6541214Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6541285Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6541356Z unimplemented [] 2025-12-04T09:39:37.6542346Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6542517Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6542625Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6542757Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6542828Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6542900Z unimplemented [] 2025-12-04T09:39:37.6543837Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6543944Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6544041Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6544171Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6544245Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6544308Z unimplemented [] 2025-12-04T09:39:37.6545247Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6545403Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6545498Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6545632Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6545739Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6545815Z unimplemented [] 2025-12-04T09:39:37.6546828Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6546923Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6547022Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6547148Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6547224Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6547285Z unimplemented [] 2025-12-04T09:39:37.6548349Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6548458Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6548554Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6548688Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6548758Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6548822Z unimplemented [] 2025-12-04T09:39:37.6549871Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6549976Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6550078Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6550205Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6550275Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6550346Z unimplemented [] 2025-12-04T09:39:37.6551289Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6551391Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6551485Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6551613Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6551687Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6551751Z unimplemented [] 2025-12-04T09:39:37.6552696Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6552807Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6552972Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6553117Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6553188Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6553306Z unimplemented [] 2025-12-04T09:39:37.6554297Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6554434Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6554535Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6554662Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6554732Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6554803Z unimplemented [] 2025-12-04T09:39:37.6555743Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6555844Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6555939Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6556065Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6556141Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6556205Z unimplemented [] 2025-12-04T09:39:37.6557146Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6557250Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6557346Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6557475Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6557544Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6557609Z unimplemented [] 2025-12-04T09:39:37.6558693Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6558799Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6558897Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6559026Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6559098Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6559171Z unimplemented [] 2025-12-04T09:39:37.6560136Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6560238Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6560332Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6560512Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6560589Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6560655Z unimplemented [] 2025-12-04T09:39:37.6561702Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6561895Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6561994Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6562140Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6562213Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6562279Z unimplemented [] 2025-12-04T09:39:37.6563250Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6563349Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6563452Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6563584Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6563653Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6563725Z unimplemented [] 2025-12-04T09:39:37.6564672Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6564789Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6564887Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6565017Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6565092Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6565157Z unimplemented [] 2025-12-04T09:39:37.6566101Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6566198Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6566292Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6566426Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6566497Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6566565Z unimplemented [] 2025-12-04T09:39:37.6567504Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6567599Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6567696Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6567824Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6567948Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6568010Z unimplemented [] 2025-12-04T09:39:37.6568990Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6569160Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6569254Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6569386Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6569455Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6569519Z unimplemented [] 2025-12-04T09:39:37.6570469Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6570567Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6570659Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6570791Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6570859Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6570927Z unimplemented [] 2025-12-04T09:39:37.6571867Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6571961Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6572061Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6572185Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6572261Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6572325Z unimplemented [] 2025-12-04T09:39:37.6573269Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6573369Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6573461Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6573591Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6573658Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6573723Z unimplemented [] 2025-12-04T09:39:37.6575243Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6575412Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6575579Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6575798Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6575971Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6576088Z unimplemented [] 2025-12-04T09:39:37.6577828Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6577979Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6578217Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6578386Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6578523Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6578620Z unimplemented [] 2025-12-04T09:39:37.6579688Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6579803Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6579903Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6580039Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6580111Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6580179Z unimplemented [] 2025-12-04T09:39:37.6581133Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6581231Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6581331Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6581464Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6581536Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6581607Z unimplemented [] 2025-12-04T09:39:37.6582566Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6582667Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6582762Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6582892Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6582967Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6583033Z unimplemented [] 2025-12-04T09:39:37.6583995Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6584091Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6584189Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6584324Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6584393Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6584535Z unimplemented [] 2025-12-04T09:39:37.6585530Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6585663Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6585777Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6585954Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6586033Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6586106Z unimplemented [] 2025-12-04T09:39:37.6587050Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6587178Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6587345Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6587494Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6587574Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6587639Z unimplemented [] 2025-12-04T09:39:37.6588593Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6588690Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6588784Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6588953Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6589074Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6589148Z unimplemented [] 2025-12-04T09:39:37.6590354Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6590463Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6590565Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6590708Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6590783Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6590854Z unimplemented [] 2025-12-04T09:39:37.6591943Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6592056Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6592149Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6592278Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6592356Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6592423Z unimplemented [] 2025-12-04T09:39:37.6593436Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6593609Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6593704Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6593871Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6593942Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6594011Z unimplemented [] 2025-12-04T09:39:37.6594958Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6595053Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6595152Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6595280Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6595356Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6595419Z unimplemented [] 2025-12-04T09:39:37.6596365Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6596463Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6596568Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6596707Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6596774Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6596839Z unimplemented [] 2025-12-04T09:39:37.6597783Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6597877Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6597974Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6598100Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6598178Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6598246Z unimplemented [] 2025-12-04T09:39:37.6599187Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6599286Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6599379Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6599506Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6599582Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6599644Z unimplemented [] 2025-12-04T09:39:37.6600627Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6600764Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6600890Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6601021Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6601088Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6601185Z unimplemented [] 2025-12-04T09:39:37.6602127Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6602222Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6602367Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6602497Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6602566Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6602635Z unimplemented [] 2025-12-04T09:39:37.6603725Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6603833Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6603927Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6604056Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6604133Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6604199Z unimplemented [] 2025-12-04T09:39:37.6605159Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6605262Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6605355Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6605490Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6605561Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6605627Z unimplemented [] 2025-12-04T09:39:37.6606574Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6606671Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6606770Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6606944Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.6607024Z Traceback (most recent call last): 2025-12-04T09:39:37.6607376Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.6607463Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.6607804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.6607913Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.6608270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.6608468Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.6608560Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6608565Z 2025-12-04T09:39:37.6608635Z Expected 2 but got 4. 2025-12-04T09:39:37.6608764Z Absolute difference: 2 2025-12-04T09:39:37.6608840Z Relative difference: 1.0 2025-12-04T09:39:37.6608843Z 2025-12-04T09:39:37.6608988Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6609251Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.6609255Z 2025-12-04T09:39:37.6609423Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6609573Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6609646Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.6609720Z unimplemented [] 2025-12-04T09:39:37.6610828Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.6610935Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.6611038Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.6611167Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6611248Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6611325Z unimplemented [] 2025-12-04T09:39:37.6612580Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6612694Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6612792Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6612921Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6612999Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6613063Z unimplemented [] 2025-12-04T09:39:37.6614013Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6614107Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6614202Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6614333Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6614401Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6614469Z unimplemented [] 2025-12-04T09:39:37.6615403Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6615610Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6615712Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6615890Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6616016Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6616080Z unimplemented [] 2025-12-04T09:39:37.6617092Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6617196Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6617288Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6617423Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6617493Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6617564Z unimplemented [] 2025-12-04T09:39:37.6618612Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6618708Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6618802Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6618988Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6619110Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6619229Z unimplemented [] 2025-12-04T09:39:37.6620919Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6621091Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6621250Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6621474Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6621594Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6621703Z unimplemented [] 2025-12-04T09:39:37.6623173Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6623280Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6623427Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6623640Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6623714Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6623780Z unimplemented [] 2025-12-04T09:39:37.6624746Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6624903Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6625000Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6625129Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6625232Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6625335Z unimplemented [] 2025-12-04T09:39:37.6626329Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6626432Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6626524Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6626650Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6626728Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6626797Z unimplemented [] 2025-12-04T09:39:37.6627899Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6628009Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6628103Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6628239Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6628307Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6628371Z unimplemented [] 2025-12-04T09:39:37.6629323Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6629420Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6629519Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6629655Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6629725Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6629796Z unimplemented [] 2025-12-04T09:39:37.6630735Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6630835Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6630928Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6631053Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6631130Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6631192Z unimplemented [] 2025-12-04T09:39:37.6632142Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6632237Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6632383Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6632516Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6632584Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6632680Z unimplemented [] 2025-12-04T09:39:37.6633820Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6633959Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6634063Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6634193Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6634266Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6634336Z unimplemented [] 2025-12-04T09:39:37.6635280Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6635382Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6635487Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6635616Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6635691Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6635755Z unimplemented [] 2025-12-04T09:39:37.6636719Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6636819Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6636913Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6637048Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6637116Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6637186Z unimplemented [] 2025-12-04T09:39:37.6638143Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6638241Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6638341Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6638468Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6638543Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6638604Z unimplemented [] 2025-12-04T09:39:37.6639543Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6639642Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6639734Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6639922Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6639989Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6640087Z unimplemented [] 2025-12-04T09:39:37.6641253Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6641389Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6641487Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6641615Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6641681Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6641753Z unimplemented [] 2025-12-04T09:39:37.6642710Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6642806Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6642903Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6643029Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6643102Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6643164Z unimplemented [] 2025-12-04T09:39:37.6644109Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6644209Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6644301Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6644434Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6644501Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6644563Z unimplemented [] 2025-12-04T09:39:37.6645510Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6645603Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6645699Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6645823Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6645893Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6645967Z unimplemented [] 2025-12-04T09:39:37.6646916Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6647018Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6647110Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6647234Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6647349Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6647411Z unimplemented [] 2025-12-04T09:39:37.6648535Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6648777Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6648874Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6649008Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6649077Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6649143Z unimplemented [] 2025-12-04T09:39:37.6650113Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6650210Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6650309Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6650436Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6650503Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6650574Z unimplemented [] 2025-12-04T09:39:37.6651516Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6651617Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6651711Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6651834Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6651910Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6651975Z unimplemented [] 2025-12-04T09:39:37.6653069Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6653178Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6653275Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6653408Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6653477Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6653541Z unimplemented [] 2025-12-04T09:39:37.6654492Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6654589Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6654687Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6654812Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6654933Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6655019Z unimplemented [] 2025-12-04T09:39:37.6656091Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6656312Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6656517Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6656745Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6656868Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6656978Z unimplemented [] 2025-12-04T09:39:37.6658801Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6658968Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6659133Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6659365Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6659484Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6659602Z unimplemented [] 2025-12-04T09:39:37.6660620Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6660720Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6660834Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6660964Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6661041Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6661103Z unimplemented [] 2025-12-04T09:39:37.6662049Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6662147Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6662237Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6662368Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6662435Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6662496Z unimplemented [] 2025-12-04T09:39:37.6663441Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6663535Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6663629Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6663759Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6663827Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6663957Z unimplemented [] 2025-12-04T09:39:37.6665136Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6665274Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6665373Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6665536Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6665615Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6665684Z unimplemented [] 2025-12-04T09:39:37.6666628Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6666729Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6666819Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6666951Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6667019Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6667080Z unimplemented [] 2025-12-04T09:39:37.6668026Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6668120Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6668214Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6668340Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6668407Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6668476Z unimplemented [] 2025-12-04T09:39:37.6669419Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6669523Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6669622Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6669748Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6669824Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6669885Z unimplemented [] 2025-12-04T09:39:37.6670825Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6670930Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6671026Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6671161Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6671228Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6671290Z unimplemented [] 2025-12-04T09:39:37.6672431Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6673457Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6673555Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6673719Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6673789Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6673858Z unimplemented [] 2025-12-04T09:39:37.6674807Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6674908Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6675011Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6675141Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6675217Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6675280Z unimplemented [] 2025-12-04T09:39:37.6676230Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6676323Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6676416Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6676549Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6676616Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6676681Z unimplemented [] 2025-12-04T09:39:37.6677631Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6677724Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6677822Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6677947Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6678016Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6678087Z unimplemented [] 2025-12-04T09:39:37.6679032Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6679136Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6679229Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6679354Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6679439Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6679504Z unimplemented [] 2025-12-04T09:39:37.6680498Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6680624Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6680751Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6680884Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6680985Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6681053Z unimplemented [] 2025-12-04T09:39:37.6681997Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6682101Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6682201Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6682356Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6682476Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6682600Z unimplemented [] 2025-12-04T09:39:37.6683557Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6683660Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6683754Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6683882Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6683956Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6684023Z unimplemented [] 2025-12-04T09:39:37.6684982Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6685080Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6685173Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6685351Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.6685430Z Traceback (most recent call last): 2025-12-04T09:39:37.6685782Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.6685907Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.6686300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.6686418Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.6686734Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.6686869Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.6686955Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6686959Z 2025-12-04T09:39:37.6687027Z Expected 2 but got 4. 2025-12-04T09:39:37.6687099Z Absolute difference: 2 2025-12-04T09:39:37.6687169Z Relative difference: 1.0 2025-12-04T09:39:37.6687173Z 2025-12-04T09:39:37.6687363Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6687630Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.6687634Z 2025-12-04T09:39:37.6687833Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6687977Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6688083Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.6688146Z unimplemented [] 2025-12-04T09:39:37.6689163Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.6689263Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.6689368Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.6689496Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6689565Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6689634Z unimplemented [] 2025-12-04T09:39:37.6690591Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6690694Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6690788Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6690916Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6690991Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6691053Z unimplemented [] 2025-12-04T09:39:37.6691994Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6692094Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6692185Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6692314Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6692381Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6692442Z unimplemented [] 2025-12-04T09:39:37.6693379Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6693474Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6693573Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6693698Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6693766Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6693836Z unimplemented [] 2025-12-04T09:39:37.6694873Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6695068Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6695163Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6695332Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6695444Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6695508Z unimplemented [] 2025-12-04T09:39:37.6696506Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6696611Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6696705Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6696838Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6696904Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6696966Z unimplemented [] 2025-12-04T09:39:37.6697915Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6698008Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6698206Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6698430Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6698541Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6698661Z unimplemented [] 2025-12-04T09:39:37.6700134Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6700287Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6700431Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6700636Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6700752Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6700864Z unimplemented [] 2025-12-04T09:39:37.6702539Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6702704Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6702861Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6703092Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6703219Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6703328Z unimplemented [] 2025-12-04T09:39:37.6704941Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6705232Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6705406Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6705693Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6705812Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6705974Z unimplemented [] 2025-12-04T09:39:37.6707748Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6707937Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6708108Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6708354Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6708481Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6708591Z unimplemented [] 2025-12-04T09:39:37.6710406Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6710586Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6710759Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6710993Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6711115Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6711230Z unimplemented [] 2025-12-04T09:39:37.6713249Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6713429Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6713606Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6713837Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6713962Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6714077Z unimplemented [] 2025-12-04T09:39:37.6715845Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6716042Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6716222Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6716471Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6716598Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6716714Z unimplemented [] 2025-12-04T09:39:37.6718475Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6718657Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6718958Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6719197Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6719412Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6719546Z unimplemented [] 2025-12-04T09:39:37.6721490Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6721690Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6721866Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6722106Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6722248Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6722365Z unimplemented [] 2025-12-04T09:39:37.6724128Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6724322Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6724500Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6724749Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6724881Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6724994Z unimplemented [] 2025-12-04T09:39:37.6726772Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6726950Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6727132Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6727371Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6727494Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6727615Z unimplemented [] 2025-12-04T09:39:37.6729349Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6729537Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6729706Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6729947Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6730077Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6730190Z unimplemented [] 2025-12-04T09:39:37.6731951Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6732137Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6732391Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6732639Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6732762Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6732877Z unimplemented [] 2025-12-04T09:39:37.6734764Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6734997Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6735175Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6735416Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6735542Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6735675Z unimplemented [] 2025-12-04T09:39:37.6737425Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6737618Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6737796Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6738036Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6738265Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6738384Z unimplemented [] 2025-12-04T09:39:37.6740153Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6740341Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6740513Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6740760Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6740885Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6741006Z unimplemented [] 2025-12-04T09:39:37.6742772Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6742955Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6743137Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6743375Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6743501Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6743628Z unimplemented [] 2025-12-04T09:39:37.6745379Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6745561Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6745734Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6746044Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6746178Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6746293Z unimplemented [] 2025-12-04T09:39:37.6748100Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6748415Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6748598Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6748852Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6748974Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6749097Z unimplemented [] 2025-12-04T09:39:37.6750849Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6751030Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6751210Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6751456Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6751585Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6751703Z unimplemented [] 2025-12-04T09:39:37.6753448Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6753634Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6753805Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6754057Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6754179Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6754295Z unimplemented [] 2025-12-04T09:39:37.6756071Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6756245Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6756424Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6756662Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6756785Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6756906Z unimplemented [] 2025-12-04T09:39:37.6758670Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6758847Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6759030Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6759265Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6759478Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6759591Z unimplemented [] 2025-12-04T09:39:37.6761415Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6761716Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6761896Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6762143Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6762264Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6762383Z unimplemented [] 2025-12-04T09:39:37.6764163Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6764343Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6764525Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6764759Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6764889Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6765013Z unimplemented [] 2025-12-04T09:39:37.6766763Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6766948Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6767118Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6767359Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6767489Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6767604Z unimplemented [] 2025-12-04T09:39:37.6769342Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6769529Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6769701Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6769948Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6770078Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6770194Z unimplemented [] 2025-12-04T09:39:37.6771954Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6772135Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6772313Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6772552Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6772676Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6772871Z unimplemented [] 2025-12-04T09:39:37.6774660Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6774902Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6775129Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6775374Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6775506Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6775622Z unimplemented [] 2025-12-04T09:39:37.6777368Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6777551Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6777725Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6777972Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6778194Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6778314Z unimplemented [] 2025-12-04T09:39:37.6779887Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6780074Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6780256Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6780504Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6780634Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6780769Z unimplemented [] 2025-12-04T09:39:37.6782577Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6782783Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6782968Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6783228Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6783367Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6783489Z unimplemented [] 2025-12-04T09:39:37.6785304Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6785507Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6785689Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6785948Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6786083Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6786211Z unimplemented [] 2025-12-04T09:39:37.6788136Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6788387Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6788577Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6788899Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6789044Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6789165Z unimplemented [] 2025-12-04T09:39:37.6790954Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6791169Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6791353Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6791613Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6791754Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6791875Z unimplemented [] 2025-12-04T09:39:37.6793670Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6793872Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6794049Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6794311Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6794447Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6794581Z unimplemented [] 2025-12-04T09:39:37.6796342Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6796530Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6796715Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6796954Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6797089Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6797202Z unimplemented [] 2025-12-04T09:39:37.6798929Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6799121Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6799295Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6799539Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6799661Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6799773Z unimplemented [] 2025-12-04T09:39:37.6801585Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6801917Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6802108Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6802359Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6802555Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6802690Z unimplemented [] 2025-12-04T09:39:37.6804490Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6804698Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6804878Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6805131Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6805272Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6805392Z unimplemented [] 2025-12-04T09:39:37.6807153Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6807351Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6807531Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6807782Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6807909Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6808025Z unimplemented [] 2025-12-04T09:39:37.6809805Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6809997Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6810184Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6810522Z ______ DecoratorTests.test_set_stance_eager_then_compile_with_graph_break ______ 2025-12-04T09:39:37.6810668Z Traceback (most recent call last): 2025-12-04T09:39:37.6811321Z File "/var/lib/jenkins/workspace/test/dynamo/test_decorators.py", line 1420, in test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.6811487Z self.assertEqual(cnts.frame_count, 2) 2025-12-04T09:39:37.6812230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T09:39:37.6812453Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T09:39:37.6813042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T09:39:37.6813283Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T09:39:37.6813440Z AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6813448Z 2025-12-04T09:39:37.6813573Z Expected 2 but got 4. 2025-12-04T09:39:37.6813706Z Absolute difference: 2 2025-12-04T09:39:37.6813834Z Relative difference: 1.0 2025-12-04T09:39:37.6813841Z 2025-12-04T09:39:37.6814230Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6814738Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.6814747Z 2025-12-04T09:39:37.6815164Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6815518Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6815651Z frames [('total', 2), ('ok', 2)] 2025-12-04T09:39:37.6815768Z unimplemented [] 2025-12-04T09:39:37.6817671Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-12-04T09:39:37.6817884Z stats [('calls_captured', 4), ('unique_graphs', 2)] 2025-12-04T09:39:37.6818079Z resumes [('torch_dynamo_resume_in_fn_at_1410', 1)] 2025-12-04T09:39:37.6818430Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6818565Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6818688Z unimplemented [] 2025-12-04T09:39:37.6820480Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6820683Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6820866Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6821125Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6821272Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6821388Z unimplemented [] 2025-12-04T09:39:37.6823175Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6823376Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6823556Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6823817Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6823947Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6824074Z unimplemented [] 2025-12-04T09:39:37.6825852Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6826047Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6826238Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6826488Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6826626Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6826746Z unimplemented [] 2025-12-04T09:39:37.6828518Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6828801Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6828980Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6829349Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6829529Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6829648Z unimplemented [] 2025-12-04T09:39:37.6831439Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6831640Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6831829Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6832089Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6832216Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6832339Z unimplemented [] 2025-12-04T09:39:37.6834117Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6834320Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6834511Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6834762Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6834940Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6835070Z unimplemented [] 2025-12-04T09:39:37.6836958Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6837154Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6837347Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6837592Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6837722Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6837849Z unimplemented [] 2025-12-04T09:39:37.6839637Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6839853Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6840034Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6840288Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6840421Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6840547Z unimplemented [] 2025-12-04T09:39:37.6842355Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6842621Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6842806Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6843126Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6843260Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6843429Z unimplemented [] 2025-12-04T09:39:37.6845193Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6845382Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6845555Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6845793Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6845923Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6846033Z unimplemented [] 2025-12-04T09:39:37.6847746Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6847930Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6848097Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6848338Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6848459Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6848572Z unimplemented [] 2025-12-04T09:39:37.6850311Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6850490Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6850666Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6850897Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6851020Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6851141Z unimplemented [] 2025-12-04T09:39:37.6853308Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6853538Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6853729Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6853993Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6854135Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6854255Z unimplemented [] 2025-12-04T09:39:37.6856355Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6856704Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6856943Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6857201Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6857437Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6857581Z unimplemented [] 2025-12-04T09:39:37.6859643Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6859845Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6860037Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6860293Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6860436Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6860562Z unimplemented [] 2025-12-04T09:39:37.6862345Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6862561Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6862746Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6863000Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6863131Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6863249Z unimplemented [] 2025-12-04T09:39:37.6865147Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6865371Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6865545Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6865801Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6865935Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6866061Z unimplemented [] 2025-12-04T09:39:37.6867890Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6878554Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6878804Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6879072Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6879215Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6879332Z unimplemented [] 2025-12-04T09:39:37.6881214Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6881429Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6881695Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6881961Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6882100Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6882224Z unimplemented [] 2025-12-04T09:39:37.6884163Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6884414Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6884605Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6884856Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6884983Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6885117Z unimplemented [] 2025-12-04T09:39:37.6886896Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6887106Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6887289Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6887541Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6887679Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6887807Z unimplemented [] 2025-12-04T09:39:37.6889585Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6889796Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6889977Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6890227Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6890356Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6890483Z unimplemented [] 2025-12-04T09:39:37.6892257Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6892460Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6892649Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6892903Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6893037Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6893173Z unimplemented [] 2025-12-04T09:39:37.6894938Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6895142Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6895324Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6895649Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6895787Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6895906Z unimplemented [] 2025-12-04T09:39:37.6897752Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6897983Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6898280Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6898536Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6898666Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6898783Z unimplemented [] 2025-12-04T09:39:37.6900557Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6900753Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6900937Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6901192Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6901324Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6901453Z unimplemented [] 2025-12-04T09:39:37.6903207Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6903410Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6903595Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6903853Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6903992Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6904110Z unimplemented [] 2025-12-04T09:39:37.6905879Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6906076Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6906251Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6906506Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6906639Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6906765Z unimplemented [] 2025-12-04T09:39:37.6908549Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6908744Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6908931Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6909182Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6909404Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6909526Z unimplemented [] 2025-12-04T09:39:37.6911353Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6911695Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6911881Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6912412Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6912545Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6912667Z unimplemented [] 2025-12-04T09:39:37.6914430Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6914618Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6914785Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6915026Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6915153Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6915273Z unimplemented [] 2025-12-04T09:39:37.6916977Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6917153Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6917330Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6917559Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6917689Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6917806Z unimplemented [] 2025-12-04T09:39:37.6919498Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6919681Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6919852Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6920085Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6920207Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6920321Z unimplemented [] 2025-12-04T09:39:37.6922005Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6922177Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6922347Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6922573Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6922802Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6922921Z unimplemented [] 2025-12-04T09:39:37.6924699Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6924953Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6925201Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6925438Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6925570Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6925686Z unimplemented [] 2025-12-04T09:39:37.6927391Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6927583Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6927754Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6927989Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6928107Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6928226Z unimplemented [] 2025-12-04T09:39:37.6929939Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6930138Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6930323Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6930574Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6930707Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6930832Z unimplemented [] 2025-12-04T09:39:37.6932600Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6932800Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6932974Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6933221Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6933352Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6933465Z unimplemented [] 2025-12-04T09:39:37.6935356Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6935577Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6935836Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6936099Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6936236Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6936357Z unimplemented [] 2025-12-04T09:39:37.6938419Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6938693Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6938889Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6939302Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6939452Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6939587Z unimplemented [] 2025-12-04T09:39:37.6941377Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6941594Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6941772Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6942025Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6942164Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6942285Z unimplemented [] 2025-12-04T09:39:37.6944070Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6944267Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6944442Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6944697Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6944831Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6944951Z unimplemented [] 2025-12-04T09:39:37.6946734Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6946927Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6947110Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6947356Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6947496Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6947622Z unimplemented [] 2025-12-04T09:39:37.6949407Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6949631Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6949814Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6950059Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6950192Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6950313Z unimplemented [] 2025-12-04T09:39:37.6952161Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6952451Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6952626Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6952881Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6953070Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6953199Z unimplemented [] 2025-12-04T09:39:37.6954976Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6955177Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6955369Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6955619Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6955759Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6955871Z unimplemented [] 2025-12-04T09:39:37.6957698Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6957900Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6958083Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6958333Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6958464Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6958585Z unimplemented [] 2025-12-04T09:39:37.6960377Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6960572Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6960762Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6961014Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T09:39:37.6961147Z frames [('total', 4), ('ok', 4)] 2025-12-04T09:39:37.6961273Z unimplemented [] 2025-12-04T09:39:37.6963065Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 2)] 2025-12-04T09:39:37.6963269Z stats [('calls_captured', 8), ('unique_graphs', 4)] 2025-12-04T09:39:37.6963459Z resumes [('torch_dynamo_resume_in_fn_at_1410', 2)] 2025-12-04T09:39:37.6964246Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_decorators/dynamo.test_decorators-302ccf81f6499204.xml - 2025-12-04T09:39:37.6964464Z =========================== short test summary info ============================ 2025-12-04T09:39:37.6965126Z FAILED [0.1125s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6965214Z 2025-12-04T09:39:37.6965357Z Expected 1 but got 2. 2025-12-04T09:39:37.6965484Z Absolute difference: 1 2025-12-04T09:39:37.6965613Z Relative difference: 1.0 2025-12-04T09:39:37.6965703Z 2025-12-04T09:39:37.6965973Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6966453Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.6966462Z 2025-12-04T09:39:37.6966843Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6967492Z FAILED [0.0763s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6967501Z 2025-12-04T09:39:37.6967632Z Expected 1 but got 2. 2025-12-04T09:39:37.6967766Z Absolute difference: 1 2025-12-04T09:39:37.6967894Z Relative difference: 1.0 2025-12-04T09:39:37.6967906Z 2025-12-04T09:39:37.6968155Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6968564Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.6968571Z 2025-12-04T09:39:37.6968884Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6969521Z FAILED [0.0750s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6969529Z 2025-12-04T09:39:37.6969657Z Expected 1 but got 2. 2025-12-04T09:39:37.6969786Z Absolute difference: 1 2025-12-04T09:39:37.6969920Z Relative difference: 1.0 2025-12-04T09:39:37.6969927Z 2025-12-04T09:39:37.6970169Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6970568Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.6970576Z 2025-12-04T09:39:37.6970879Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6971495Z FAILED [0.0734s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6971503Z 2025-12-04T09:39:37.6971633Z Expected 1 but got 2. 2025-12-04T09:39:37.6971757Z Absolute difference: 1 2025-12-04T09:39:37.6971884Z Relative difference: 1.0 2025-12-04T09:39:37.6971899Z 2025-12-04T09:39:37.6972131Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6972510Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.6972517Z 2025-12-04T09:39:37.6972815Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6973410Z FAILED [0.0726s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6973416Z 2025-12-04T09:39:37.6973548Z Expected 1 but got 2. 2025-12-04T09:39:37.6973669Z Absolute difference: 1 2025-12-04T09:39:37.6973790Z Relative difference: 1.0 2025-12-04T09:39:37.6973795Z 2025-12-04T09:39:37.6974032Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6974408Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.6974419Z 2025-12-04T09:39:37.6974702Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6975298Z FAILED [0.0729s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6975304Z 2025-12-04T09:39:37.6975417Z Expected 1 but got 2. 2025-12-04T09:39:37.6975542Z Absolute difference: 1 2025-12-04T09:39:37.6975664Z Relative difference: 1.0 2025-12-04T09:39:37.6975671Z 2025-12-04T09:39:37.6975895Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6976270Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.6976331Z 2025-12-04T09:39:37.6976618Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6977273Z FAILED [0.0728s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6977327Z 2025-12-04T09:39:37.6977449Z Expected 1 but got 2. 2025-12-04T09:39:37.6977571Z Absolute difference: 1 2025-12-04T09:39:37.6977698Z Relative difference: 1.0 2025-12-04T09:39:37.6977704Z 2025-12-04T09:39:37.6977981Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6978511Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.6978526Z 2025-12-04T09:39:37.6978828Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6979418Z FAILED [0.0782s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6979431Z 2025-12-04T09:39:37.6979555Z Expected 1 but got 2. 2025-12-04T09:39:37.6979673Z Absolute difference: 1 2025-12-04T09:39:37.6979792Z Relative difference: 1.0 2025-12-04T09:39:37.6979802Z 2025-12-04T09:39:37.6980039Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6980415Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.6980421Z 2025-12-04T09:39:37.6980713Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6981300Z FAILED [0.0935s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6981306Z 2025-12-04T09:39:37.6981423Z Expected 1 but got 2. 2025-12-04T09:39:37.6981551Z Absolute difference: 1 2025-12-04T09:39:37.6981670Z Relative difference: 1.0 2025-12-04T09:39:37.6981683Z 2025-12-04T09:39:37.6981918Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6982291Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.6982297Z 2025-12-04T09:39:37.6982577Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6983165Z FAILED [0.0797s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6983172Z 2025-12-04T09:39:37.6983288Z Expected 1 but got 2. 2025-12-04T09:39:37.6983424Z Absolute difference: 1 2025-12-04T09:39:37.6983539Z Relative difference: 1.0 2025-12-04T09:39:37.6983543Z 2025-12-04T09:39:37.6983775Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6984158Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.6984163Z 2025-12-04T09:39:37.6984448Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6985047Z FAILED [0.0844s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6985061Z 2025-12-04T09:39:37.6985183Z Expected 1 but got 2. 2025-12-04T09:39:37.6985302Z Absolute difference: 1 2025-12-04T09:39:37.6985435Z Relative difference: 1.0 2025-12-04T09:39:37.6985440Z 2025-12-04T09:39:37.6985669Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6986051Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.6986059Z 2025-12-04T09:39:37.6986352Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6986955Z FAILED [0.0811s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6986961Z 2025-12-04T09:39:37.6987147Z Expected 1 but got 2. 2025-12-04T09:39:37.6987271Z Absolute difference: 1 2025-12-04T09:39:37.6987393Z Relative difference: 1.0 2025-12-04T09:39:37.6987398Z 2025-12-04T09:39:37.6987634Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6988063Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.6988118Z 2025-12-04T09:39:37.6988413Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6989055Z FAILED [0.0832s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6989062Z 2025-12-04T09:39:37.6989184Z Expected 1 but got 2. 2025-12-04T09:39:37.6989309Z Absolute difference: 1 2025-12-04T09:39:37.6989428Z Relative difference: 1.0 2025-12-04T09:39:37.6989434Z 2025-12-04T09:39:37.6989666Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6990062Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.6990077Z 2025-12-04T09:39:37.6990368Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6990979Z FAILED [0.0868s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6990990Z 2025-12-04T09:39:37.6991108Z Expected 1 but got 2. 2025-12-04T09:39:37.6991226Z Absolute difference: 1 2025-12-04T09:39:37.6991353Z Relative difference: 1.0 2025-12-04T09:39:37.6991359Z 2025-12-04T09:39:37.6991591Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6991977Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.6991983Z 2025-12-04T09:39:37.6992265Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6992858Z FAILED [0.0846s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6992868Z 2025-12-04T09:39:37.6992995Z Expected 1 but got 2. 2025-12-04T09:39:37.6993115Z Absolute difference: 1 2025-12-04T09:39:37.6993245Z Relative difference: 1.0 2025-12-04T09:39:37.6993254Z 2025-12-04T09:39:37.6993480Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6993850Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.6993857Z 2025-12-04T09:39:37.6994152Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6994734Z FAILED [0.0833s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6994741Z 2025-12-04T09:39:37.6994867Z Expected 1 but got 2. 2025-12-04T09:39:37.6994981Z Absolute difference: 1 2025-12-04T09:39:37.6995102Z Relative difference: 1.0 2025-12-04T09:39:37.6995112Z 2025-12-04T09:39:37.6995345Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6995719Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.6995726Z 2025-12-04T09:39:37.6996011Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6996612Z FAILED [0.0818s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6996619Z 2025-12-04T09:39:37.6996733Z Expected 1 but got 2. 2025-12-04T09:39:37.6996865Z Absolute difference: 1 2025-12-04T09:39:37.6996993Z Relative difference: 1.0 2025-12-04T09:39:37.6996998Z 2025-12-04T09:39:37.6997225Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6997607Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.6997616Z 2025-12-04T09:39:37.6997903Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.6998608Z FAILED [0.0818s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.6998617Z 2025-12-04T09:39:37.6998809Z Expected 1 but got 2. 2025-12-04T09:39:37.6998940Z Absolute difference: 1 2025-12-04T09:39:37.6999142Z Relative difference: 1.0 2025-12-04T09:39:37.6999149Z 2025-12-04T09:39:37.6999393Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.6999867Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.6999876Z 2025-12-04T09:39:37.7000179Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7000804Z FAILED [0.0732s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7000812Z 2025-12-04T09:39:37.7000944Z Expected 1 but got 2. 2025-12-04T09:39:37.7001077Z Absolute difference: 1 2025-12-04T09:39:37.7001212Z Relative difference: 1.0 2025-12-04T09:39:37.7001218Z 2025-12-04T09:39:37.7001455Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7001854Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7001867Z 2025-12-04T09:39:37.7002175Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7002807Z FAILED [0.0729s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7002815Z 2025-12-04T09:39:37.7002959Z Expected 1 but got 2. 2025-12-04T09:39:37.7003088Z Absolute difference: 1 2025-12-04T09:39:37.7003221Z Relative difference: 1.0 2025-12-04T09:39:37.7003227Z 2025-12-04T09:39:37.7003461Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7003854Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7003876Z 2025-12-04T09:39:37.7004174Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7004802Z FAILED [0.0722s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7004814Z 2025-12-04T09:39:37.7004950Z Expected 1 but got 2. 2025-12-04T09:39:37.7005076Z Absolute difference: 1 2025-12-04T09:39:37.7005202Z Relative difference: 1.0 2025-12-04T09:39:37.7005208Z 2025-12-04T09:39:37.7005525Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7005929Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7005936Z 2025-12-04T09:39:37.7006241Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7006859Z FAILED [0.0709s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7006873Z 2025-12-04T09:39:37.7007000Z Expected 1 but got 2. 2025-12-04T09:39:37.7007136Z Absolute difference: 1 2025-12-04T09:39:37.7007261Z Relative difference: 1.0 2025-12-04T09:39:37.7007266Z 2025-12-04T09:39:37.7007512Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7007913Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7007920Z 2025-12-04T09:39:37.7008224Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7008932Z FAILED [0.0701s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7008941Z 2025-12-04T09:39:37.7009068Z Expected 1 but got 2. 2025-12-04T09:39:37.7009201Z Absolute difference: 1 2025-12-04T09:39:37.7009323Z Relative difference: 1.0 2025-12-04T09:39:37.7009329Z 2025-12-04T09:39:37.7009682Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7010086Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7010094Z 2025-12-04T09:39:37.7010461Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7011142Z FAILED [0.0722s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7011158Z 2025-12-04T09:39:37.7011280Z Expected 1 but got 2. 2025-12-04T09:39:37.7011474Z Absolute difference: 1 2025-12-04T09:39:37.7011621Z Relative difference: 1.0 2025-12-04T09:39:37.7011627Z 2025-12-04T09:39:37.7011868Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7012577Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7012586Z 2025-12-04T09:39:37.7012899Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7013510Z FAILED [0.0770s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7013520Z 2025-12-04T09:39:37.7013661Z Expected 1 but got 2. 2025-12-04T09:39:37.7013785Z Absolute difference: 1 2025-12-04T09:39:37.7013918Z Relative difference: 1.0 2025-12-04T09:39:37.7013925Z 2025-12-04T09:39:37.7014170Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7014567Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7014574Z 2025-12-04T09:39:37.7014879Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7015506Z FAILED [0.0785s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7015515Z 2025-12-04T09:39:37.7015642Z Expected 1 but got 2. 2025-12-04T09:39:37.7015779Z Absolute difference: 1 2025-12-04T09:39:37.7015907Z Relative difference: 1.0 2025-12-04T09:39:37.7015913Z 2025-12-04T09:39:37.7016158Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7016553Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7016563Z 2025-12-04T09:39:37.7016859Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7017484Z FAILED [0.0791s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7017493Z 2025-12-04T09:39:37.7017616Z Expected 1 but got 2. 2025-12-04T09:39:37.7017736Z Absolute difference: 1 2025-12-04T09:39:37.7017869Z Relative difference: 1.0 2025-12-04T09:39:37.7017876Z 2025-12-04T09:39:37.7018261Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7018671Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7018687Z 2025-12-04T09:39:37.7018992Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7019628Z FAILED [0.0740s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7019650Z 2025-12-04T09:39:37.7019776Z Expected 1 but got 2. 2025-12-04T09:39:37.7019900Z Absolute difference: 1 2025-12-04T09:39:37.7020038Z Relative difference: 1.0 2025-12-04T09:39:37.7020044Z 2025-12-04T09:39:37.7020297Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7020695Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7020703Z 2025-12-04T09:39:37.7021010Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7021626Z FAILED [0.0738s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7021767Z 2025-12-04T09:39:37.7021906Z Expected 1 but got 2. 2025-12-04T09:39:37.7022033Z Absolute difference: 1 2025-12-04T09:39:37.7022162Z Relative difference: 1.0 2025-12-04T09:39:37.7022169Z 2025-12-04T09:39:37.7022514Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7023012Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7023020Z 2025-12-04T09:39:37.7023334Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7024072Z FAILED [0.0707s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7024083Z 2025-12-04T09:39:37.7024217Z Expected 1 but got 2. 2025-12-04T09:39:37.7024352Z Absolute difference: 1 2025-12-04T09:39:37.7024478Z Relative difference: 1.0 2025-12-04T09:39:37.7024485Z 2025-12-04T09:39:37.7024731Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7025138Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7025146Z 2025-12-04T09:39:37.7025452Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7026087Z FAILED [0.0725s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7026105Z 2025-12-04T09:39:37.7026230Z Expected 1 but got 2. 2025-12-04T09:39:37.7026354Z Absolute difference: 1 2025-12-04T09:39:37.7026493Z Relative difference: 1.0 2025-12-04T09:39:37.7026499Z 2025-12-04T09:39:37.7026738Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7027137Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7027144Z 2025-12-04T09:39:37.7027439Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7028069Z FAILED [0.0748s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7028077Z 2025-12-04T09:39:37.7028212Z Expected 1 but got 2. 2025-12-04T09:39:37.7028341Z Absolute difference: 1 2025-12-04T09:39:37.7028479Z Relative difference: 1.0 2025-12-04T09:39:37.7028490Z 2025-12-04T09:39:37.7028735Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7029128Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7029135Z 2025-12-04T09:39:37.7029445Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7030061Z FAILED [0.0739s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7030069Z 2025-12-04T09:39:37.7030201Z Expected 1 but got 2. 2025-12-04T09:39:37.7030329Z Absolute difference: 1 2025-12-04T09:39:37.7030457Z Relative difference: 1.0 2025-12-04T09:39:37.7030464Z 2025-12-04T09:39:37.7030707Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7031106Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7031117Z 2025-12-04T09:39:37.7031412Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7032045Z FAILED [0.0737s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7032055Z 2025-12-04T09:39:37.7032180Z Expected 1 but got 2. 2025-12-04T09:39:37.7032315Z Absolute difference: 1 2025-12-04T09:39:37.7032447Z Relative difference: 1.0 2025-12-04T09:39:37.7032453Z 2025-12-04T09:39:37.7032693Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7033090Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7033170Z 2025-12-04T09:39:37.7033471Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7034172Z FAILED [0.0988s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7034307Z 2025-12-04T09:39:37.7034445Z Expected 1 but got 2. 2025-12-04T09:39:37.7034571Z Absolute difference: 1 2025-12-04T09:39:37.7034706Z Relative difference: 1.0 2025-12-04T09:39:37.7034712Z 2025-12-04T09:39:37.7035017Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7035423Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7035441Z 2025-12-04T09:39:37.7035750Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7036377Z FAILED [0.0843s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7036392Z 2025-12-04T09:39:37.7036534Z Expected 1 but got 2. 2025-12-04T09:39:37.7036655Z Absolute difference: 1 2025-12-04T09:39:37.7036780Z Relative difference: 1.0 2025-12-04T09:39:37.7036786Z 2025-12-04T09:39:37.7037035Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7037502Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7037511Z 2025-12-04T09:39:37.7037816Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7038436Z FAILED [0.0762s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7038443Z 2025-12-04T09:39:37.7038565Z Expected 1 but got 2. 2025-12-04T09:39:37.7038693Z Absolute difference: 1 2025-12-04T09:39:37.7038823Z Relative difference: 1.0 2025-12-04T09:39:37.7038829Z 2025-12-04T09:39:37.7039084Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7039480Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7039487Z 2025-12-04T09:39:37.7039800Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7040431Z FAILED [0.0753s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7040445Z 2025-12-04T09:39:37.7040571Z Expected 1 but got 2. 2025-12-04T09:39:37.7040702Z Absolute difference: 1 2025-12-04T09:39:37.7040829Z Relative difference: 1.0 2025-12-04T09:39:37.7040836Z 2025-12-04T09:39:37.7041082Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7041488Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7041497Z 2025-12-04T09:39:37.7041797Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7042416Z FAILED [0.2335s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7042425Z 2025-12-04T09:39:37.7042545Z Expected 1 but got 2. 2025-12-04T09:39:37.7042673Z Absolute difference: 1 2025-12-04T09:39:37.7042803Z Relative difference: 1.0 2025-12-04T09:39:37.7042813Z 2025-12-04T09:39:37.7043050Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7043439Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7043453Z 2025-12-04T09:39:37.7043757Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7044361Z FAILED [0.0790s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7044367Z 2025-12-04T09:39:37.7044493Z Expected 1 but got 2. 2025-12-04T09:39:37.7044682Z Absolute difference: 1 2025-12-04T09:39:37.7044808Z Relative difference: 1.0 2025-12-04T09:39:37.7044815Z 2025-12-04T09:39:37.7045071Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7045502Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7045509Z 2025-12-04T09:39:37.7045861Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7046471Z FAILED [0.0992s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7046577Z 2025-12-04T09:39:37.7046711Z Expected 1 but got 2. 2025-12-04T09:39:37.7046847Z Absolute difference: 1 2025-12-04T09:39:37.7046977Z Relative difference: 1.0 2025-12-04T09:39:37.7046982Z 2025-12-04T09:39:37.7047228Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7047625Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7047640Z 2025-12-04T09:39:37.7047945Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7048577Z FAILED [0.0782s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7048586Z 2025-12-04T09:39:37.7048714Z Expected 1 but got 2. 2025-12-04T09:39:37.7048835Z Absolute difference: 1 2025-12-04T09:39:37.7048968Z Relative difference: 1.0 2025-12-04T09:39:37.7048974Z 2025-12-04T09:39:37.7049205Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7049588Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7049593Z 2025-12-04T09:39:37.7049890Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7050579Z FAILED [0.0844s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7050606Z 2025-12-04T09:39:37.7050734Z Expected 1 but got 2. 2025-12-04T09:39:37.7050859Z Absolute difference: 1 2025-12-04T09:39:37.7050988Z Relative difference: 1.0 2025-12-04T09:39:37.7050994Z 2025-12-04T09:39:37.7051239Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7051637Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7051646Z 2025-12-04T09:39:37.7051951Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7052578Z FAILED [0.0824s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7052586Z 2025-12-04T09:39:37.7052722Z Expected 1 but got 2. 2025-12-04T09:39:37.7052847Z Absolute difference: 1 2025-12-04T09:39:37.7052975Z Relative difference: 1.0 2025-12-04T09:39:37.7052980Z 2025-12-04T09:39:37.7053234Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7053633Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7053642Z 2025-12-04T09:39:37.7053953Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7054572Z FAILED [0.0823s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7054587Z 2025-12-04T09:39:37.7054716Z Expected 1 but got 2. 2025-12-04T09:39:37.7054851Z Absolute difference: 1 2025-12-04T09:39:37.7054986Z Relative difference: 1.0 2025-12-04T09:39:37.7054992Z 2025-12-04T09:39:37.7055230Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7055637Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7055643Z 2025-12-04T09:39:37.7055942Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7056645Z FAILED [0.0812s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7056653Z 2025-12-04T09:39:37.7056778Z Expected 1 but got 2. 2025-12-04T09:39:37.7056970Z Absolute difference: 1 2025-12-04T09:39:37.7057110Z Relative difference: 1.0 2025-12-04T09:39:37.7057171Z 2025-12-04T09:39:37.7057412Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7057814Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7057881Z 2025-12-04T09:39:37.7058316Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7058941Z FAILED [0.0809s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7058950Z 2025-12-04T09:39:37.7059083Z Expected 1 but got 2. 2025-12-04T09:39:37.7059217Z Absolute difference: 1 2025-12-04T09:39:37.7059347Z Relative difference: 1.0 2025-12-04T09:39:37.7059353Z 2025-12-04T09:39:37.7059591Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7059983Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7059991Z 2025-12-04T09:39:37.7060303Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7060912Z FAILED [0.0826s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7060924Z 2025-12-04T09:39:37.7061054Z Expected 1 but got 2. 2025-12-04T09:39:37.7061175Z Absolute difference: 1 2025-12-04T09:39:37.7061301Z Relative difference: 1.0 2025-12-04T09:39:37.7061307Z 2025-12-04T09:39:37.7061554Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7061949Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7061961Z 2025-12-04T09:39:37.7062251Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7063011Z FAILED [0.0821s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7063020Z 2025-12-04T09:39:37.7063143Z Expected 1 but got 2. 2025-12-04T09:39:37.7063271Z Absolute difference: 1 2025-12-04T09:39:37.7063395Z Relative difference: 1.0 2025-12-04T09:39:37.7063400Z 2025-12-04T09:39:37.7063633Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7064016Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile 2025-12-04T09:39:37.7064023Z 2025-12-04T09:39:37.7064303Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7064984Z FAILED [0.1711s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7064996Z 2025-12-04T09:39:37.7065114Z Expected 2 but got 4. 2025-12-04T09:39:37.7065232Z Absolute difference: 2 2025-12-04T09:39:37.7065362Z Relative difference: 1.0 2025-12-04T09:39:37.7065368Z 2025-12-04T09:39:37.7065599Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7066098Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7066106Z 2025-12-04T09:39:37.7066398Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7067106Z FAILED [0.1531s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7067116Z 2025-12-04T09:39:37.7067249Z Expected 2 but got 4. 2025-12-04T09:39:37.7067376Z Absolute difference: 2 2025-12-04T09:39:37.7067503Z Relative difference: 1.0 2025-12-04T09:39:37.7067592Z 2025-12-04T09:39:37.7067842Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7068340Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7068348Z 2025-12-04T09:39:37.7068748Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7069514Z FAILED [0.1522s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7069524Z 2025-12-04T09:39:37.7069659Z Expected 2 but got 4. 2025-12-04T09:39:37.7069850Z Absolute difference: 2 2025-12-04T09:39:37.7069981Z Relative difference: 1.0 2025-12-04T09:39:37.7069987Z 2025-12-04T09:39:37.7070236Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7070725Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7070739Z 2025-12-04T09:39:37.7071038Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7071753Z FAILED [0.1528s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7071767Z 2025-12-04T09:39:37.7071893Z Expected 2 but got 4. 2025-12-04T09:39:37.7072028Z Absolute difference: 2 2025-12-04T09:39:37.7072157Z Relative difference: 1.0 2025-12-04T09:39:37.7072163Z 2025-12-04T09:39:37.7072406Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7072908Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7072916Z 2025-12-04T09:39:37.7073215Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7073932Z FAILED [0.1527s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7073948Z 2025-12-04T09:39:37.7074077Z Expected 2 but got 4. 2025-12-04T09:39:37.7074197Z Absolute difference: 2 2025-12-04T09:39:37.7074337Z Relative difference: 1.0 2025-12-04T09:39:37.7074342Z 2025-12-04T09:39:37.7074577Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7075075Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7075082Z 2025-12-04T09:39:37.7075380Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7076088Z FAILED [0.1518s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7076097Z 2025-12-04T09:39:37.7076233Z Expected 2 but got 4. 2025-12-04T09:39:37.7076358Z Absolute difference: 2 2025-12-04T09:39:37.7076482Z Relative difference: 1.0 2025-12-04T09:39:37.7076498Z 2025-12-04T09:39:37.7076749Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7077205Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7077212Z 2025-12-04T09:39:37.7077502Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7078174Z FAILED [0.1519s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7078179Z 2025-12-04T09:39:37.7078295Z Expected 2 but got 4. 2025-12-04T09:39:37.7078414Z Absolute difference: 2 2025-12-04T09:39:37.7078528Z Relative difference: 1.0 2025-12-04T09:39:37.7078533Z 2025-12-04T09:39:37.7078766Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7079234Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7079240Z 2025-12-04T09:39:37.7079585Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7080264Z FAILED [0.1565s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7080318Z 2025-12-04T09:39:37.7080435Z Expected 2 but got 4. 2025-12-04T09:39:37.7080608Z Absolute difference: 2 2025-12-04T09:39:37.7080729Z Relative difference: 1.0 2025-12-04T09:39:37.7080735Z 2025-12-04T09:39:37.7080960Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7081484Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7081491Z 2025-12-04T09:39:37.7081774Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7082462Z FAILED [0.1788s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7082472Z 2025-12-04T09:39:37.7082586Z Expected 2 but got 4. 2025-12-04T09:39:37.7082702Z Absolute difference: 2 2025-12-04T09:39:37.7082828Z Relative difference: 1.0 2025-12-04T09:39:37.7082834Z 2025-12-04T09:39:37.7083059Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7083534Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7083543Z 2025-12-04T09:39:37.7083825Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7084510Z FAILED [0.1625s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7084516Z 2025-12-04T09:39:37.7084638Z Expected 2 but got 4. 2025-12-04T09:39:37.7084756Z Absolute difference: 2 2025-12-04T09:39:37.7084877Z Relative difference: 1.0 2025-12-04T09:39:37.7084895Z 2025-12-04T09:39:37.7085128Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7085573Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7085580Z 2025-12-04T09:39:37.7085849Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7086519Z FAILED [0.1592s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7086524Z 2025-12-04T09:39:37.7086639Z Expected 2 but got 4. 2025-12-04T09:39:37.7086754Z Absolute difference: 2 2025-12-04T09:39:37.7086869Z Relative difference: 1.0 2025-12-04T09:39:37.7086874Z 2025-12-04T09:39:37.7087097Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7087550Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7087556Z 2025-12-04T09:39:37.7087818Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7088476Z FAILED [0.1686s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7088482Z 2025-12-04T09:39:37.7088595Z Expected 2 but got 4. 2025-12-04T09:39:37.7088717Z Absolute difference: 2 2025-12-04T09:39:37.7088832Z Relative difference: 1.0 2025-12-04T09:39:37.7088837Z 2025-12-04T09:39:37.7089054Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7089518Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7089523Z 2025-12-04T09:39:37.7089796Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7090351Z FAILED [0.1817s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7090420Z 2025-12-04T09:39:37.7090490Z Expected 2 but got 4. 2025-12-04T09:39:37.7090556Z Absolute difference: 2 2025-12-04T09:39:37.7090643Z Relative difference: 1.0 2025-12-04T09:39:37.7090648Z 2025-12-04T09:39:37.7090816Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7091077Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7091132Z 2025-12-04T09:39:37.7091288Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7091688Z FAILED [0.1716s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7091692Z 2025-12-04T09:39:37.7091774Z Expected 2 but got 4. 2025-12-04T09:39:37.7091843Z Absolute difference: 2 2025-12-04T09:39:37.7091918Z Relative difference: 1.0 2025-12-04T09:39:37.7091921Z 2025-12-04T09:39:37.7092045Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7092297Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7092301Z 2025-12-04T09:39:37.7092463Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7092886Z FAILED [0.1610s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7092894Z 2025-12-04T09:39:37.7092964Z Expected 2 but got 4. 2025-12-04T09:39:37.7093034Z Absolute difference: 2 2025-12-04T09:39:37.7093102Z Relative difference: 1.0 2025-12-04T09:39:37.7093105Z 2025-12-04T09:39:37.7093235Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7093486Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7093490Z 2025-12-04T09:39:37.7093641Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7094008Z FAILED [0.1676s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7094012Z 2025-12-04T09:39:37.7094081Z Expected 2 but got 4. 2025-12-04T09:39:37.7094152Z Absolute difference: 2 2025-12-04T09:39:37.7094225Z Relative difference: 1.0 2025-12-04T09:39:37.7094228Z 2025-12-04T09:39:37.7094351Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7094621Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7094624Z 2025-12-04T09:39:37.7094773Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7095147Z FAILED [0.1735s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7095152Z 2025-12-04T09:39:37.7095221Z Expected 2 but got 4. 2025-12-04T09:39:37.7095295Z Absolute difference: 2 2025-12-04T09:39:37.7095363Z Relative difference: 1.0 2025-12-04T09:39:37.7095366Z 2025-12-04T09:39:37.7095492Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7095759Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7095765Z 2025-12-04T09:39:37.7095917Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7096288Z FAILED [0.3524s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7096291Z 2025-12-04T09:39:37.7096355Z Expected 2 but got 4. 2025-12-04T09:39:37.7096421Z Absolute difference: 2 2025-12-04T09:39:37.7096493Z Relative difference: 1.0 2025-12-04T09:39:37.7096496Z 2025-12-04T09:39:37.7096628Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7096935Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7096948Z 2025-12-04T09:39:37.7097136Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7097497Z FAILED [0.1692s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7097535Z 2025-12-04T09:39:37.7097611Z Expected 2 but got 4. 2025-12-04T09:39:37.7097676Z Absolute difference: 2 2025-12-04T09:39:37.7097788Z Relative difference: 1.0 2025-12-04T09:39:37.7097792Z 2025-12-04T09:39:37.7097934Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7098332Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7098336Z 2025-12-04T09:39:37.7098509Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7098882Z FAILED [0.1519s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7098886Z 2025-12-04T09:39:37.7098953Z Expected 2 but got 4. 2025-12-04T09:39:37.7099025Z Absolute difference: 2 2025-12-04T09:39:37.7099098Z Relative difference: 1.0 2025-12-04T09:39:37.7099101Z 2025-12-04T09:39:37.7099244Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7099505Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7099508Z 2025-12-04T09:39:37.7099664Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7100033Z FAILED [0.1503s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7100038Z 2025-12-04T09:39:37.7100102Z Expected 2 but got 4. 2025-12-04T09:39:37.7100176Z Absolute difference: 2 2025-12-04T09:39:37.7100246Z Relative difference: 1.0 2025-12-04T09:39:37.7100250Z 2025-12-04T09:39:37.7100373Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7100629Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7100635Z 2025-12-04T09:39:37.7100789Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7101157Z FAILED [0.1519s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7101161Z 2025-12-04T09:39:37.7101224Z Expected 2 but got 4. 2025-12-04T09:39:37.7101290Z Absolute difference: 2 2025-12-04T09:39:37.7101364Z Relative difference: 1.0 2025-12-04T09:39:37.7101367Z 2025-12-04T09:39:37.7101490Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7101741Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7101750Z 2025-12-04T09:39:37.7101901Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7102261Z FAILED [0.1550s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7102267Z 2025-12-04T09:39:37.7102339Z Expected 2 but got 4. 2025-12-04T09:39:37.7102406Z Absolute difference: 2 2025-12-04T09:39:37.7102476Z Relative difference: 1.0 2025-12-04T09:39:37.7102479Z 2025-12-04T09:39:37.7102610Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7102858Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7102862Z 2025-12-04T09:39:37.7103023Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7103437Z FAILED [0.1532s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7103441Z 2025-12-04T09:39:37.7103506Z Expected 2 but got 4. 2025-12-04T09:39:37.7103611Z Absolute difference: 2 2025-12-04T09:39:37.7103715Z Relative difference: 1.0 2025-12-04T09:39:37.7103718Z 2025-12-04T09:39:37.7103852Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7104135Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7104138Z 2025-12-04T09:39:37.7104291Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7104657Z FAILED [0.1531s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7104661Z 2025-12-04T09:39:37.7104728Z Expected 2 but got 4. 2025-12-04T09:39:37.7104799Z Absolute difference: 2 2025-12-04T09:39:37.7104867Z Relative difference: 1.0 2025-12-04T09:39:37.7104869Z 2025-12-04T09:39:37.7104992Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7105248Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7105254Z 2025-12-04T09:39:37.7105405Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7105774Z FAILED [0.1577s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7105777Z 2025-12-04T09:39:37.7105841Z Expected 2 but got 4. 2025-12-04T09:39:37.7105906Z Absolute difference: 2 2025-12-04T09:39:37.7105980Z Relative difference: 1.0 2025-12-04T09:39:37.7105983Z 2025-12-04T09:39:37.7106108Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7106360Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7106370Z 2025-12-04T09:39:37.7106522Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7106883Z FAILED [0.1713s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7106889Z 2025-12-04T09:39:37.7106960Z Expected 2 but got 4. 2025-12-04T09:39:37.7107026Z Absolute difference: 2 2025-12-04T09:39:37.7107096Z Relative difference: 1.0 2025-12-04T09:39:37.7107099Z 2025-12-04T09:39:37.7107229Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7107477Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7107481Z 2025-12-04T09:39:37.7107636Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7107998Z FAILED [0.1651s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7108001Z 2025-12-04T09:39:37.7108069Z Expected 2 but got 4. 2025-12-04T09:39:37.7108146Z Absolute difference: 2 2025-12-04T09:39:37.7108216Z Relative difference: 1.0 2025-12-04T09:39:37.7108222Z 2025-12-04T09:39:37.7108353Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7108604Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7108607Z 2025-12-04T09:39:37.7108757Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7109127Z FAILED [0.1523s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7109131Z 2025-12-04T09:39:37.7109197Z Expected 2 but got 4. 2025-12-04T09:39:37.7109313Z Absolute difference: 2 2025-12-04T09:39:37.7109381Z Relative difference: 1.0 2025-12-04T09:39:37.7109385Z 2025-12-04T09:39:37.7109509Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7109806Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7109845Z 2025-12-04T09:39:37.7110000Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7110402Z FAILED [0.1509s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7110406Z 2025-12-04T09:39:37.7110472Z Expected 2 but got 4. 2025-12-04T09:39:37.7110537Z Absolute difference: 2 2025-12-04T09:39:37.7110612Z Relative difference: 1.0 2025-12-04T09:39:37.7110615Z 2025-12-04T09:39:37.7110739Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7110992Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7111002Z 2025-12-04T09:39:37.7111154Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7111515Z FAILED [0.1804s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7111520Z 2025-12-04T09:39:37.7111592Z Expected 2 but got 4. 2025-12-04T09:39:37.7111661Z Absolute difference: 2 2025-12-04T09:39:37.7111731Z Relative difference: 1.0 2025-12-04T09:39:37.7111737Z 2025-12-04T09:39:37.7111867Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7112536Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7112542Z 2025-12-04T09:39:37.7112712Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7113095Z FAILED [0.1744s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7113098Z 2025-12-04T09:39:37.7113166Z Expected 2 but got 4. 2025-12-04T09:39:37.7113242Z Absolute difference: 2 2025-12-04T09:39:37.7113312Z Relative difference: 1.0 2025-12-04T09:39:37.7113318Z 2025-12-04T09:39:37.7113453Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7113710Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7113716Z 2025-12-04T09:39:37.7113875Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7114247Z FAILED [0.1742s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7114250Z 2025-12-04T09:39:37.7114316Z Expected 2 but got 4. 2025-12-04T09:39:37.7114390Z Absolute difference: 2 2025-12-04T09:39:37.7114457Z Relative difference: 1.0 2025-12-04T09:39:37.7114461Z 2025-12-04T09:39:37.7114585Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7114843Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7114848Z 2025-12-04T09:39:37.7114999Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7115389Z FAILED [0.1738s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7115395Z 2025-12-04T09:39:37.7115466Z Expected 2 but got 4. 2025-12-04T09:39:37.7115533Z Absolute difference: 2 2025-12-04T09:39:37.7115606Z Relative difference: 1.0 2025-12-04T09:39:37.7115609Z 2025-12-04T09:39:37.7115735Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7116095Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7116106Z 2025-12-04T09:39:37.7116266Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7116709Z FAILED [0.1706s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7116770Z 2025-12-04T09:39:37.7116846Z Expected 2 but got 4. 2025-12-04T09:39:37.7116915Z Absolute difference: 2 2025-12-04T09:39:37.7116984Z Relative difference: 1.0 2025-12-04T09:39:37.7117047Z 2025-12-04T09:39:37.7117183Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7117443Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7117446Z 2025-12-04T09:39:37.7117634Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7118127Z FAILED [0.1620s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7118132Z 2025-12-04T09:39:37.7118199Z Expected 2 but got 4. 2025-12-04T09:39:37.7118273Z Absolute difference: 2 2025-12-04T09:39:37.7118342Z Relative difference: 1.0 2025-12-04T09:39:37.7118348Z 2025-12-04T09:39:37.7118478Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7118732Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7118738Z 2025-12-04T09:39:37.7118894Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7119274Z FAILED [0.1565s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7119279Z 2025-12-04T09:39:37.7119395Z Expected 2 but got 4. 2025-12-04T09:39:37.7119522Z Absolute difference: 2 2025-12-04T09:39:37.7119639Z Relative difference: 1.0 2025-12-04T09:39:37.7119644Z 2025-12-04T09:39:37.7119866Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7120333Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7120342Z 2025-12-04T09:39:37.7120618Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7121285Z FAILED [0.1626s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7121291Z 2025-12-04T09:39:37.7121402Z Expected 2 but got 4. 2025-12-04T09:39:37.7121517Z Absolute difference: 2 2025-12-04T09:39:37.7121640Z Relative difference: 1.0 2025-12-04T09:39:37.7121644Z 2025-12-04T09:39:37.7121864Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7122306Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7122315Z 2025-12-04T09:39:37.7122481Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7122842Z FAILED [0.1561s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7122848Z 2025-12-04T09:39:37.7122920Z Expected 2 but got 4. 2025-12-04T09:39:37.7122987Z Absolute difference: 2 2025-12-04T09:39:37.7123056Z Relative difference: 1.0 2025-12-04T09:39:37.7123058Z 2025-12-04T09:39:37.7123190Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7123453Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7123457Z 2025-12-04T09:39:37.7123629Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7124138Z FAILED [0.1497s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7124202Z 2025-12-04T09:39:37.7124276Z Expected 2 but got 4. 2025-12-04T09:39:37.7124353Z Absolute difference: 2 2025-12-04T09:39:37.7124461Z Relative difference: 1.0 2025-12-04T09:39:37.7124465Z 2025-12-04T09:39:37.7124643Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7124903Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7124907Z 2025-12-04T09:39:37.7125107Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7125491Z FAILED [0.1538s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7125494Z 2025-12-04T09:39:37.7125563Z Expected 2 but got 4. 2025-12-04T09:39:37.7125653Z Absolute difference: 2 2025-12-04T09:39:37.7125723Z Relative difference: 1.0 2025-12-04T09:39:37.7125726Z 2025-12-04T09:39:37.7125857Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7126123Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7126126Z 2025-12-04T09:39:37.7126284Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7126649Z FAILED [0.1545s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7126659Z 2025-12-04T09:39:37.7126725Z Expected 2 but got 4. 2025-12-04T09:39:37.7126791Z Absolute difference: 2 2025-12-04T09:39:37.7126868Z Relative difference: 1.0 2025-12-04T09:39:37.7126872Z 2025-12-04T09:39:37.7127004Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7127258Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7127265Z 2025-12-04T09:39:37.7127428Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7127790Z FAILED [0.3662s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7127796Z 2025-12-04T09:39:37.7127870Z Expected 2 but got 4. 2025-12-04T09:39:37.7127936Z Absolute difference: 2 2025-12-04T09:39:37.7128008Z Relative difference: 1.0 2025-12-04T09:39:37.7128012Z 2025-12-04T09:39:37.7128146Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7128398Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7128401Z 2025-12-04T09:39:37.7128559Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7128919Z FAILED [0.1620s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7128924Z 2025-12-04T09:39:37.7128987Z Expected 2 but got 4. 2025-12-04T09:39:37.7129060Z Absolute difference: 2 2025-12-04T09:39:37.7129130Z Relative difference: 1.0 2025-12-04T09:39:37.7129133Z 2025-12-04T09:39:37.7129276Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7129528Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7129532Z 2025-12-04T09:39:37.7129687Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7130055Z FAILED [0.1595s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7130059Z 2025-12-04T09:39:37.7130122Z Expected 2 but got 4. 2025-12-04T09:39:37.7130194Z Absolute difference: 2 2025-12-04T09:39:37.7130307Z Relative difference: 1.0 2025-12-04T09:39:37.7130310Z 2025-12-04T09:39:37.7130433Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7130721Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7130725Z 2025-12-04T09:39:37.7130949Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7131360Z FAILED [0.1873s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7131370Z 2025-12-04T09:39:37.7131438Z Expected 2 but got 4. 2025-12-04T09:39:37.7131504Z Absolute difference: 2 2025-12-04T09:39:37.7131576Z Relative difference: 1.0 2025-12-04T09:39:37.7131579Z 2025-12-04T09:39:37.7131712Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7131962Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7131969Z 2025-12-04T09:39:37.7132255Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7132665Z FAILED [0.1743s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7132672Z 2025-12-04T09:39:37.7132744Z Expected 2 but got 4. 2025-12-04T09:39:37.7132810Z Absolute difference: 2 2025-12-04T09:39:37.7132881Z Relative difference: 1.0 2025-12-04T09:39:37.7132885Z 2025-12-04T09:39:37.7133018Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7133270Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7133273Z 2025-12-04T09:39:37.7133433Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7133795Z FAILED [0.1714s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7133800Z 2025-12-04T09:39:37.7133866Z Expected 2 but got 4. 2025-12-04T09:39:37.7133941Z Absolute difference: 2 2025-12-04T09:39:37.7134012Z Relative difference: 1.0 2025-12-04T09:39:37.7134015Z 2025-12-04T09:39:37.7134146Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7134401Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7134404Z 2025-12-04T09:39:37.7134560Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7134932Z FAILED [0.1708s] dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break - AssertionError: Scalars are not equal! 2025-12-04T09:39:37.7134936Z 2025-12-04T09:39:37.7135001Z Expected 2 but got 4. 2025-12-04T09:39:37.7135078Z Absolute difference: 2 2025-12-04T09:39:37.7135151Z Relative difference: 1.0 2025-12-04T09:39:37.7135154Z 2025-12-04T09:39:37.7135293Z To execute this test, run the following from the base repo dir: 2025-12-04T09:39:37.7135561Z python test/dynamo/test_decorators.py DecoratorTests.test_set_stance_eager_then_compile_with_graph_break 2025-12-04T09:39:37.7135565Z 2025-12-04T09:39:37.7135729Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:39:37.7135858Z ======================== 98 failed, 2 passed in 13.38s ========================= 2025-12-04T09:39:37.7135866Z 2025-12-04T09:39:37.7136183Z FINISHED PRINTING LOG FILE of dynamo/test_decorators 1/1 (test/test-reports/dynamo.test_decorators_1.1_ba5f7c318397297f_.log) 2025-12-04T09:39:37.7136187Z 2025-12-04T09:39:37.7136387Z Finished dynamo/test_decorators 1/1 ... [2025-12-04 09:39:37.384782][2823.803569845], took 0.29min 2025-12-04T09:39:37.7136879Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_decorators/dynamo.test_decorators-302ccf81f6499204.xml 2025-12-04T09:39:38.4295065Z Uploading logs for 57116084932 to S3 2025-12-04T09:39:38.4916819Z Uploading artifacts took 0.98 seconds 2025-12-04T09:39:38.4917199Z dynamo/test_decorators 1/1 failed! 2025-12-04T09:39:41.1073170Z Running export/test_verifier 1/1 ... [2025-12-04 09:39:41.106809][2827.525606466] 2025-12-04T09:39:41.1074034Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:41.1075777Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_verifier.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:41.107197] 2025-12-04T09:39:44.4381456Z 2025-12-04T09:39:44.4382341Z export/test_verifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_verifier_1.1_591aea7a5ababa82_.log 2025-12-04T09:39:44.4383189Z Running 0 items in this shard: 2025-12-04T09:39:44.4383368Z 2025-12-04T09:39:44.4383626Z Finished export/test_verifier 1/1 ... [2025-12-04 09:39:44.438016][2830.856816625], took 0.06min 2025-12-04T09:39:44.4699825Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_verifier/export.test_verifier-9945b957ec1c8466.xml 2025-12-04T09:39:48.1188594Z Running export/test_sparse 1/1 ... [2025-12-04 09:39:48.118403][2834.537199708] 2025-12-04T09:39:48.1189335Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:48.1191103Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_sparse.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:48.118821] 2025-12-04T09:39:51.9516737Z 2025-12-04T09:39:51.9517873Z export/test_sparse 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_sparse_1.1_529e70e817ddd154_.log 2025-12-04T09:39:51.9518651Z Running 0 items in this shard: 2025-12-04T09:39:51.9518807Z 2025-12-04T09:39:51.9519029Z Finished export/test_sparse 1/1 ... [2025-12-04 09:39:51.951527][2838.370326125], took 0.06min 2025-12-04T09:39:51.9920144Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_sparse/export.test_sparse-b1772b758fa6fed5.xml 2025-12-04T09:39:55.5679727Z Running xpu/test_fusion 1/1 ... [2025-12-04 09:39:55.567504][2841.986301902] 2025-12-04T09:39:55.5680513Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:39:55.5682386Z 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 09:39:55.567935] 2025-12-04T09:39:59.1344971Z 2025-12-04T09:39:59.1345908Z xpu/test_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_fusion_1.1_60bd0f32a898c062_.log 2025-12-04T09:39:59.1346673Z Running 0 items in this shard: 2025-12-04T09:39:59.1346921Z 2025-12-04T09:39:59.1347171Z Finished xpu/test_fusion 1/1 ... [2025-12-04 09:39:59.134361][2845.553161622], took 0.06min 2025-12-04T09:39:59.1598687Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/xpu.test_fusion/xpu.test_fusion-302ba3ffb5343b99.xml 2025-12-04T09:40:02.8093380Z Running test_ops_jit 1/2 ... [2025-12-04 09:40:02.808856][2849.227652811] 2025-12-04T09:40:02.8093849Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:02.8096589Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_jit.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 09:40:02.809314] 2025-12-04T09:40:09.1051906Z 2025-12-04T09:40:09.1053258Z test_ops_jit 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_1.2_86ab235195fdd684_.log 2025-12-04T09:40:09.1054110Z Running 0 items in this shard: 2025-12-04T09:40:09.1054489Z 2025-12-04T09:40:09.1054784Z Finished test_ops_jit 1/2 ... [2025-12-04 09:40:09.105027][2855.523825448], took 0.10min 2025-12-04T09:40:09.1349307Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-b012ce5156c214da.xml 2025-12-04T09:40:12.8273300Z Running test_ops_jit 2/2 ... [2025-12-04 09:40:12.826854][2859.245651858] 2025-12-04T09:40:12.8273762Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:12.8275995Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_jit.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 09:40:12.827257] 2025-12-04T09:40:19.2104439Z 2025-12-04T09:40:19.2105257Z test_ops_jit 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_2.2_b1bc3c4bf5e8bc22_.log 2025-12-04T09:40:19.2105915Z Running 0 items in this shard: 2025-12-04T09:40:19.2106094Z 2025-12-04T09:40:19.2106306Z Finished test_ops_jit 2/2 ... [2025-12-04 09:40:19.210302][2865.629101726], took 0.11min 2025-12-04T09:40:19.2411306Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-2d5fb9e7d2114ef0.xml 2025-12-04T09:40:22.9156721Z Running test_numpy_interop 1/1 ... [2025-12-04 09:40:22.915231][2869.334028727] 2025-12-04T09:40:22.9157362Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:22.9159774Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numpy_interop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:22.915641] 2025-12-04T09:40:26.6525692Z 2025-12-04T09:40:26.6526538Z test_numpy_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numpy_interop_1.1_103ef63807cc8a79_.log 2025-12-04T09:40:26.6527261Z Running 0 items in this shard: 2025-12-04T09:40:26.6527437Z 2025-12-04T09:40:26.6527692Z Finished test_numpy_interop 1/1 ... [2025-12-04 09:40:26.652433][2873.071232301], took 0.06min 2025-12-04T09:40:26.6792612Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numpy_interop/test_numpy_interop-7736bcf53156aea2.xml 2025-12-04T09:40:29.4282218Z 2025-12-04T09:40:29.4283606Z inductor/test_aot_inductor_arrayref 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_arrayref_1.2_50e987455b08488a_.log 2025-12-04T09:40:29.4313494Z Running 50 items in this shard: test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation, test/inductor/test_aot_inductor_arrayref.py::AOTInductorTestABICompatibleCpuWithStackAllocation::test_device_moved_constant_cpu_with_stack_allocation 2025-12-04T09:40:29.4338778Z 2025-12-04T09:40:29.4339152Z Finished inductor/test_aot_inductor_arrayref 1/2 ... [2025-12-04 09:40:29.428279][2875.847078631], took 7.03min 2025-12-04T09:40:29.4414372Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor_arrayref/inductor.test_aot_inductor_arrayref-4077385a8ed11927.xml 2025-12-04T09:40:30.5918381Z Running profiler/test_cpp_thread 1/1 ... [2025-12-04 09:40:30.591359][2877.010156197] 2025-12-04T09:40:30.5919061Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:30.5921005Z 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 09:40:30.591773] 2025-12-04T09:40:33.2352795Z Running test_ops_gradients 1/4 ... [2025-12-04 09:40:33.234829][2879.653627179] 2025-12-04T09:40:33.2353257Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:33.2355190Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_gradients.py', '-m', 'not serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:33.235239] 2025-12-04T09:40:34.7848012Z 2025-12-04T09:40:34.7849549Z 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_721ca8d2202baf79_.log 2025-12-04T09:40:34.7850770Z Running 0 items in this shard: 2025-12-04T09:40:34.7851090Z 2025-12-04T09:40:34.7851659Z Finished profiler/test_cpp_thread 1/1 ... [2025-12-04 09:40:34.784672][2881.203471134], took 0.07min 2025-12-04T09:40:34.8116983Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_cpp_thread/profiler.test_cpp_thread-3bb2d6814decf50b.xml 2025-12-04T09:40:38.4343684Z Running test_linalg 1/1 ... [2025-12-04 09:40:38.433823][2884.852611441] 2025-12-04T09:40:38.4344315Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:38.4345931Z 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 09:40:38.434265] 2025-12-04T09:40:44.5810866Z 2025-12-04T09:40:44.5811956Z test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_linalg_1.1_6071035b6c303c76_.log 2025-12-04T09:40:44.5848199Z Running 150 items in this shard: test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_ops_append_to_existing_file_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda 2025-12-04T09:40:44.5880658Z 2025-12-04T09:40:44.5880842Z Finished test_linalg 1/1 ... [2025-12-04 09:40:44.581342][2891.000141265], took 0.10min 2025-12-04T09:40:44.6045237Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_model_exports_to_core_aten/test_model_exports_to_core_aten-6f55bc989643d2f8.xml 2025-12-04T09:40:44.6910000Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_linalg/test_linalg-2191a300cb954feb.xml 2025-12-04T09:40:45.7727829Z 2025-12-04T09:40:45.7728926Z test_model_exports_to_core_aten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_model_exports_to_core_aten_1.1_0721ac3675c37053_.log 2025-12-04T09:40:45.7743147Z Running 50 items in this shard: test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export, test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export 2025-12-04T09:40:45.7754951Z 2025-12-04T09:40:45.7755189Z Finished test_model_exports_to_core_aten 1/1 ... [2025-12-04 09:40:45.772774][2892.191568846], took 2.62min 2025-12-04T09:40:45.7999578Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-f67b611ce4ec7731.xml 2025-12-04T09:40:46.0353220Z 2025-12-04T09:40:46.0354232Z test_ops_gradients 1/4 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_1.4_26492656a9ba18cc_.log 2025-12-04T09:40:46.0381004Z Running 50 items in this shard: test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128 2025-12-04T09:40:46.0406526Z 2025-12-04T09:40:46.0406883Z Finished test_ops_gradients 1/4 ... [2025-12-04 09:40:46.035242][2892.454041673], took 0.21min 2025-12-04T09:40:48.4194011Z Running test_functionalization_of_rng_ops 1/1 ... [2025-12-04 09:40:48.418891][2894.837688711] 2025-12-04T09:40:48.4194821Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:48.4196425Z 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 09:40:48.419283] 2025-12-04T09:40:49.4032989Z Running test_fx_reinplace_pass 1/1 ... [2025-12-04 09:40:49.402830][2895.82162652] 2025-12-04T09:40:49.4033675Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:49.4035292Z 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 09:40:49.403243] 2025-12-04T09:40:49.6420459Z Running functorch/test_control_flow 1/4 ... [2025-12-04 09:40:49.641623][2896.060421771] 2025-12-04T09:40:49.6420997Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:49.6423253Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_control_flow.py', '-m', 'not serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:49.642032] 2025-12-04T09:40:52.1625021Z 2025-12-04T09:40:52.1626144Z 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_9c27519ded121044_.log 2025-12-04T09:40:52.1626967Z Running 0 items in this shard: 2025-12-04T09:40:52.1627164Z 2025-12-04T09:40:52.1627474Z Finished test_functionalization_of_rng_ops 1/1 ... [2025-12-04 09:40:52.162399][2898.581198675], took 0.06min 2025-12-04T09:40:52.1901756Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functionalization_of_rng_ops/test_functionalization_of_rng_ops-e6a3a50c21063331.xml 2025-12-04T09:40:52.2689665Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx_reinplace_pass/test_fx_reinplace_pass-37738f769053ddf3.xml 2025-12-04T09:40:52.6841783Z 2025-12-04T09:40:52.6842735Z 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_53fd3d9a50b4458d_.log 2025-12-04T09:40:52.6843396Z Running 0 items in this shard: 2025-12-04T09:40:52.6843571Z 2025-12-04T09:40:52.6843793Z Finished test_fx_reinplace_pass 1/1 ... [2025-12-04 09:40:52.684012][2899.102811645], took 0.05min 2025-12-04T09:40:55.7700645Z Running nn/test_packed_sequence 1/1 ... [2025-12-04 09:40:55.769564][2902.188361088] 2025-12-04T09:40:55.7701135Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:55.7703934Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_packed_sequence.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:55.770043] 2025-12-04T09:40:56.2661079Z Running test_numa_binding 1/1 ... [2025-12-04 09:40:56.265624][2902.684420077] 2025-12-04T09:40:56.2661682Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:40:56.2666449Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numa_binding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:40:56.266322] 2025-12-04T09:40:56.7694084Z 2025-12-04T09:40:56.7695273Z functorch/test_control_flow 1/4 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_control_flow_1.4_4f93bac71c8cb014_.log 2025-12-04T09:40:56.7702566Z Running 0 items in this shard: 2025-12-04T09:40:56.7702857Z 2025-12-04T09:40:56.7703406Z Finished functorch/test_control_flow 1/4 ... [2025-12-04 09:40:56.769130][2903.187929658], took 0.12min 2025-12-04T09:40:56.8196516Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_control_flow/functorch.test_control_flow-e995b96d32cfc931.xml 2025-12-04T09:40:59.1389481Z 2025-12-04T09:40:59.1390271Z nn/test_packed_sequence 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_packed_sequence_1.1_3e12a5c447b47251_.log 2025-12-04T09:40:59.1390870Z Running 0 items in this shard: 2025-12-04T09:40:59.1391008Z 2025-12-04T09:40:59.1391244Z Finished nn/test_packed_sequence 1/1 ... [2025-12-04 09:40:59.138811][2905.557610239], took 0.06min 2025-12-04T09:40:59.1669255Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_packed_sequence/nn.test_packed_sequence-726a7f538351c2d6.xml 2025-12-04T09:40:59.1956285Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_numa_binding/test_numa_binding-1c077ffe156f26f1.xml 2025-12-04T09:40:59.6019317Z 2025-12-04T09:40:59.6020444Z test_numa_binding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numa_binding_1.1_f76796b48dd9bea1_.log 2025-12-04T09:40:59.6021170Z Running 0 items in this shard: 2025-12-04T09:40:59.6021356Z 2025-12-04T09:40:59.6021619Z Finished test_numa_binding 1/1 ... [2025-12-04 09:40:59.601778][2906.020572795], took 0.06min 2025-12-04T09:41:00.4521935Z Running test_pruning_op 1/1 ... [2025-12-04 09:41:00.451753][2906.87054946] 2025-12-04T09:41:00.4522482Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:00.4525495Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_pruning_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 09:41:00.452185] 2025-12-04T09:41:02.8179835Z Running test_jit_fuser_te 1/1 ... [2025-12-04 09:41:02.817527][2909.236324768] 2025-12-04T09:41:02.8180330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:02.8183175Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jit_fuser_te.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:41:02.818005] 2025-12-04T09:41:03.1843855Z Running test_logging 1/1 ... [2025-12-04 09:41:03.183939][2909.602736865] 2025-12-04T09:41:03.1844536Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:03.1847168Z 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 09:41:03.184387] 2025-12-04T09:41:03.7753334Z 2025-12-04T09:41:03.7754103Z test_pruning_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pruning_op_1.1_6e2ca1a8f6b17694_.log 2025-12-04T09:41:03.7754673Z Running 0 items in this shard: 2025-12-04T09:41:03.7754816Z 2025-12-04T09:41:03.7755003Z Finished test_pruning_op 1/1 ... [2025-12-04 09:41:03.775167][2910.193966318], took 0.06min 2025-12-04T09:41:03.8040279Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_pruning_op/test_pruning_op-de4e542cbb63c0a7.xml 2025-12-04T09:41:06.4637943Z 2025-12-04T09:41:06.4647273Z test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_logging_1.1_99bcec6ce0205441_.log 2025-12-04T09:41:06.4648012Z Running 0 items in this shard: 2025-12-04T09:41:06.4648190Z 2025-12-04T09:41:06.4648684Z Finished test_logging 1/1 ... [2025-12-04 09:41:06.463690][2912.88249036], took 0.05min 2025-12-04T09:41:06.4930800Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_logging/test_logging-e6a8c90bcec282b0.xml 2025-12-04T09:41:07.3422141Z Running nn/test_lazy_modules 1/1 ... [2025-12-04 09:41:07.341688][2913.760484887] 2025-12-04T09:41:07.3422948Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:07.3424953Z 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 09:41:07.342150] 2025-12-04T09:41:10.0851317Z Running nn/test_pruning 1/1 ... [2025-12-04 09:41:10.084650][2916.503447649] 2025-12-04T09:41:10.0851872Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:10.0853382Z 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 09:41:10.085054] 2025-12-04T09:41:11.0076802Z 2025-12-04T09:41:11.0077861Z 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_543ecc1a4acdd5de_.log 2025-12-04T09:41:11.0078616Z Running 0 items in this shard: 2025-12-04T09:41:11.0078796Z 2025-12-04T09:41:11.0079047Z Finished nn/test_lazy_modules 1/1 ... [2025-12-04 09:41:11.007615][2917.426414399], took 0.06min 2025-12-04T09:41:11.0369566Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_lazy_modules/nn.test_lazy_modules-2a5e6b08b4bcfda6.xml 2025-12-04T09:41:13.7018246Z 2025-12-04T09:41:13.7019312Z nn/test_pruning 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pruning_1.1_95b8a0462568cc4c_.log 2025-12-04T09:41:13.7020301Z Running 0 items in this shard: 2025-12-04T09:41:13.7020555Z 2025-12-04T09:41:13.7020831Z Finished nn/test_pruning 1/1 ... [2025-12-04 09:41:13.701661][2920.120461485], took 0.06min 2025-12-04T09:41:13.7310297Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_pruning/nn.test_pruning-2aaade8862f7d498.xml 2025-12-04T09:41:14.4569986Z Running test_monitor 1/1 ... [2025-12-04 09:41:14.456510][2920.87530762] 2025-12-04T09:41:14.4570609Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:14.4572977Z 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 09:41:14.456965] 2025-12-04T09:41:17.2760584Z Running test_cuda_sanitizer 1/1 ... [2025-12-04 09:41:17.275576][2923.694373046] 2025-12-04T09:41:17.2761094Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:17.2763996Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_sanitizer.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:41:17.276060] 2025-12-04T09:41:17.6671233Z 2025-12-04T09:41:17.6672017Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_10a5ac283ba72043_.log 2025-12-04T09:41:17.6672940Z Running 0 items in this shard: 2025-12-04T09:41:17.6673111Z 2025-12-04T09:41:17.6673369Z Finished test_monitor 1/1 ... [2025-12-04 09:41:17.666934][2924.085734646], took 0.05min 2025-12-04T09:41:17.6967404Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_monitor/test_monitor-9cf0df2b2b0aa6d2.xml 2025-12-04T09:41:19.7330087Z 2025-12-04T09:41:19.7330941Z test_jit_fuser_te 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_fuser_te_1.1_9ffe003aa533af82_.log 2025-12-04T09:41:19.7360312Z Running 150 items in this shard: test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_skip_grad_in_check 2025-12-04T09:41:19.7387242Z 2025-12-04T09:41:19.7387440Z Finished test_jit_fuser_te 1/1 ... [2025-12-04 09:41:19.733147][2926.151947382], took 0.28min 2025-12-04T09:41:19.7620410Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jit_fuser_te/test_jit_fuser_te-63c0fbca18571aef.xml 2025-12-04T09:41:20.7109708Z 2025-12-04T09:41:20.7110779Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_7d60702cefdc33b7_.log 2025-12-04T09:41:20.7111520Z Running 0 items in this shard: 2025-12-04T09:41:20.7111696Z 2025-12-04T09:41:20.7111956Z Finished test_cuda_sanitizer 1/1 ... [2025-12-04 09:41:20.710791][2927.129591962], took 0.06min 2025-12-04T09:41:20.7563354Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_sanitizer/test_cuda_sanitizer-b3f3f54292bc42e2.xml 2025-12-04T09:41:21.3579246Z Running test_bundled_inputs 1/1 ... [2025-12-04 09:41:21.357498][2927.776294692] 2025-12-04T09:41:21.3579747Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:21.3582108Z 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 09:41:21.357909] 2025-12-04T09:41:23.4074245Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 09:41:23.406893][2929.825691074] 2025-12-04T09:41:23.4075011Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:23.4077036Z 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 09:41:23.407287] 2025-12-04T09:41:24.2771985Z Running torch_np/numpy_tests/core/test_multiarray 1/1 ... [2025-12-04 09:41:24.276688][2930.695484874] 2025-12-04T09:41:24.2772755Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:24.2774375Z 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 09:41:24.277113] 2025-12-04T09:41:24.6385765Z 2025-12-04T09:41:24.6386902Z test_bundled_inputs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_bundled_inputs_1.1_54c857cf321f2fe0_.log 2025-12-04T09:41:24.6387857Z Running 0 items in this shard: 2025-12-04T09:41:24.6388162Z 2025-12-04T09:41:24.6388574Z Finished test_bundled_inputs 1/1 ... [2025-12-04 09:41:24.638434][2931.057231257], took 0.05min 2025-12-04T09:41:24.6692584Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_bundled_inputs/test_bundled_inputs-5c80f24fbd5c79df.xml 2025-12-04T09:41:27.1857380Z 2025-12-04T09:41:27.1858622Z 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_9979ab5adb57828e_.log 2025-12-04T09:41:27.1859351Z Running 0 items in this shard: 2025-12-04T09:41:27.1859511Z 2025-12-04T09:41:27.1859773Z Finished torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-12-04 09:41:27.185637][2933.604436136], took 0.06min 2025-12-04T09:41:27.2162980Z 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-3a0dd19a2898e1f4.xml 2025-12-04T09:41:28.2200427Z Running test_itt 1/1 ... [2025-12-04 09:41:28.219560][2934.638357297] 2025-12-04T09:41:28.2200878Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:28.2202672Z 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 09:41:28.219968] 2025-12-04T09:41:29.0799568Z 2025-12-04T09:41:29.0800595Z 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_1510e3ed100ff036_.log 2025-12-04T09:41:29.0801485Z Running 0 items in this shard: 2025-12-04T09:41:29.0801656Z 2025-12-04T09:41:29.0802000Z Finished torch_np/numpy_tests/core/test_multiarray 1/1 ... [2025-12-04 09:41:29.079806][2935.498603258], took 0.08min 2025-12-04T09:41:29.1106326Z 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-9bf8649a315b08f1.xml 2025-12-04T09:41:30.7406633Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-12-04 09:41:30.740170][2937.158967708] 2025-12-04T09:41:30.7407415Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:30.7409121Z 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 09:41:30.740553] 2025-12-04T09:41:31.6193075Z 2025-12-04T09:41:31.6194145Z test_itt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_itt_1.1_8f96b3dcf99fcc2f_.log 2025-12-04T09:41:31.6194777Z Running 0 items in this shard: 2025-12-04T09:41:31.6194962Z 2025-12-04T09:41:31.6195190Z Finished test_itt 1/1 ... [2025-12-04 09:41:31.619191][2938.037990616], took 0.06min 2025-12-04T09:41:31.6504436Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_itt/test_itt-d15d5efc29e37224.xml 2025-12-04T09:41:32.7281588Z Running test_masked 1/1 ... [2025-12-04 09:41:32.727703][2939.146499968] 2025-12-04T09:41:32.7282049Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:32.7284048Z 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 09:41:32.728099] 2025-12-04T09:41:34.8551580Z 2025-12-04T09:41:34.8552886Z 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_6c1771a952d1aa8f_.log 2025-12-04T09:41:34.8553806Z Running 0 items in this shard: 2025-12-04T09:41:34.8553982Z 2025-12-04T09:41:34.8554330Z Finished torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-12-04 09:41:34.855052][2941.27385128], took 0.07min 2025-12-04T09:41:34.8870272Z 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-2b01f22aeaeae590.xml 2025-12-04T09:41:35.2354914Z Running test_sympy_utils 1/1 ... [2025-12-04 09:41:35.235030][2941.653827392] 2025-12-04T09:41:35.2355405Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:35.2358231Z 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 09:41:35.235509] 2025-12-04T09:41:37.5756268Z 2025-12-04T09:41:37.5757248Z test_masked 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_masked_1.1_283ad3e9f0238c81_.log 2025-12-04T09:41:37.5758206Z Running 0 items in this shard: 2025-12-04T09:41:37.5758432Z 2025-12-04T09:41:37.5758705Z Finished test_masked 1/1 ... [2025-12-04 09:41:37.575587][2943.99438248], took 0.08min 2025-12-04T09:41:37.6063025Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_masked/test_masked-ee7fb96bb46caf7e.xml 2025-12-04T09:41:38.4884436Z Running test_subclass 1/1 ... [2025-12-04 09:41:38.487965][2944.906761653] 2025-12-04T09:41:38.4884885Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:38.4887423Z 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 09:41:38.488433] 2025-12-04T09:41:39.2255965Z 2025-12-04T09:41:39.2256979Z test_sympy_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sympy_utils_1.1_f32d3939ce192dfd_.log 2025-12-04T09:41:39.2257941Z Running 0 items in this shard: 2025-12-04T09:41:39.2258088Z 2025-12-04T09:41:39.2258531Z Finished test_sympy_utils 1/1 ... [2025-12-04 09:41:39.225466][2945.644262657], took 0.07min 2025-12-04T09:41:39.2572739Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sympy_utils/test_sympy_utils-1323a4a7fb3a2341.xml 2025-12-04T09:41:41.2091940Z Running test_import_stats 1/1 ... [2025-12-04 09:41:41.208741][2947.627538282] 2025-12-04T09:41:41.2092677Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:41.2094867Z 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 09:41:41.209173] 2025-12-04T09:41:41.9869970Z 2025-12-04T09:41:41.9870685Z test_subclass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_subclass_1.1_1171f4f1f22ece79_.log 2025-12-04T09:41:41.9871229Z Running 0 items in this shard: 2025-12-04T09:41:41.9871388Z 2025-12-04T09:41:41.9871576Z Finished test_subclass 1/1 ... [2025-12-04 09:41:41.986868][2948.405665183], took 0.06min 2025-12-04T09:41:42.0185856Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_subclass/test_subclass-c6e4d14cd9196467.xml 2025-12-04T09:41:42.8179518Z Running functorch/test_vmap_registrations 1/1 ... [2025-12-04 09:41:42.817428][2949.236224677] 2025-12-04T09:41:42.8180035Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:42.8181367Z 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 09:41:42.817835] 2025-12-04T09:41:44.5130420Z 2025-12-04T09:41:44.5131313Z test_import_stats 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_import_stats_1.1_cd9b639fa07ae2af_.log 2025-12-04T09:41:44.5131925Z Running 0 items in this shard: 2025-12-04T09:41:44.5132064Z 2025-12-04T09:41:44.5132271Z Finished test_import_stats 1/1 ... [2025-12-04 09:41:44.512905][2950.931701537], took 0.06min 2025-12-04T09:41:44.5552836Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_import_stats/test_import_stats-96edf80691029198.xml 2025-12-04T09:41:45.5694682Z Running nn/test_parametrization 1/1 ... [2025-12-04 09:41:45.568996][2951.987793072] 2025-12-04T09:41:45.5695220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:45.5697529Z 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 09:41:45.569409] 2025-12-04T09:41:48.0719040Z Running test_mkldnn_fusion 1/1 ... [2025-12-04 09:41:48.071425][2954.490222413] 2025-12-04T09:41:48.0719536Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:48.0721776Z 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 09:41:48.071863] 2025-12-04T09:41:48.7467968Z 2025-12-04T09:41:48.7468819Z 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_7830e8859bac3067_.log 2025-12-04T09:41:48.7470300Z Running 0 items in this shard: 2025-12-04T09:41:48.7470554Z 2025-12-04T09:41:48.7470995Z Finished functorch/test_vmap_registrations 1/1 ... [2025-12-04 09:41:48.746677][2955.16547425], took 0.10min 2025-12-04T09:41:48.7791930Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap_registrations/functorch.test_vmap_registrations-b561a876098030a0.xml 2025-12-04T09:41:48.8046873Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_parametrization/nn.test_parametrization-5845bd49405392ed.xml 2025-12-04T09:41:49.3435572Z 2025-12-04T09:41:49.3436636Z nn/test_parametrization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_parametrization_1.1_9584c72eb99a0dd0_.log 2025-12-04T09:41:49.3461498Z 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 2025-12-04T09:41:49.3483388Z 2025-12-04T09:41:49.3483709Z Finished nn/test_parametrization 1/1 ... [2025-12-04 09:41:49.343586][2955.762379961], took 0.06min 2025-12-04T09:41:52.6221087Z Running lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:41:52.621560][2959.040357812] 2025-12-04T09:41:52.6221877Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:52.6223666Z 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 09:41:52.622008] 2025-12-04T09:41:53.2644400Z Running test_dynamic_shapes 1/1 ... [2025-12-04 09:41:53.263627][2959.682414273] 2025-12-04T09:41:53.2646020Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:41:53.2649021Z 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 09:41:53.264288] 2025-12-04T09:41:58.2403929Z 2025-12-04T09:41:58.2404928Z 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_79263ac6e6947c5f_.log 2025-12-04T09:41:58.2405715Z Running 0 items in this shard: 2025-12-04T09:41:58.2405875Z 2025-12-04T09:41:58.2406107Z Finished lazy/test_ts_opinfo 1/1 ... [2025-12-04 09:41:58.240262][2964.659055518], took 0.09min 2025-12-04T09:41:58.2776995Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-b15f450f839da5a5.xml 2025-12-04T09:42:03.3096704Z Running complex_tensor/test_complex_tensor 1/3 ... [2025-12-04 09:42:03.309166][2969.7279594] 2025-12-04T09:42:03.3097271Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:42:03.3101855Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'complex_tensor/test_complex_tensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:42:03.309780] 2025-12-04T09:42:06.7819790Z 2025-12-04T09:42:06.7820603Z PRINTING LOG FILE of test_dynamic_shapes 1/1 (test/test-reports/test_dynamic_shapes_1.1_12b4f93950e4b886_.log) 2025-12-04T09:42:06.7821798Z Test results will be stored in test-reports/python-pytest/test_dynamic_shapes/test_dynamic_shapes-8fdb5592cefddc56.xml 2025-12-04T09:42:06.7822762Z ============================= test session starts ============================== 2025-12-04T09:42:06.7823519Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T09:42:06.7824254Z cachedir: .pytest_cache 2025-12-04T09:42:06.7825029Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T09:42:06.7826034Z rootdir: /var/lib/jenkins/workspace 2025-12-04T09:42:06.7826645Z configfile: pytest.ini 2025-12-04T09:42:06.7827486Z 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 2025-12-04T09:42:06.7828485Z collecting ... collected 378 items 2025-12-04T09:42:06.7828985Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T09:42:06.7851110Z 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 2025-12-04T09:42:06.7871814Z 2025-12-04T09:42:06.7872318Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [5.7453s] [ 2%] 2025-12-04T09:42:06.7873287Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0376s] [ 2%] 2025-12-04T09:42:06.7874204Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0143s] [ 2%] 2025-12-04T09:42:06.7875133Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0150s] [ 2%] 2025-12-04T09:42:06.7876088Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0153s] [ 2%] 2025-12-04T09:42:06.7877015Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0115s] [ 2%] 2025-12-04T09:42:06.7877918Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0300s] [ 2%] 2025-12-04T09:42:06.7878827Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0315s] [ 2%] 2025-12-04T09:42:06.7880021Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0360s] [ 2%] 2025-12-04T09:42:06.7880953Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0121s] [ 2%] 2025-12-04T09:42:06.7882134Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0237s] [ 2%] 2025-12-04T09:42:06.7883190Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0247s] [ 2%] 2025-12-04T09:42:06.7884125Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0114s] [ 2%] 2025-12-04T09:42:06.7885018Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0116s] [ 2%] 2025-12-04T09:42:06.7885917Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0318s] [ 2%] 2025-12-04T09:42:06.7886803Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0368s] [ 2%] 2025-12-04T09:42:06.7887696Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0252s] [ 2%] 2025-12-04T09:42:06.7888574Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0293s] [ 2%] 2025-12-04T09:42:06.7889464Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0254s] [ 2%] 2025-12-04T09:42:06.7890352Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0133s] [ 2%] 2025-12-04T09:42:06.7891244Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0297s] [ 2%] 2025-12-04T09:42:06.7892121Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0300s] [ 2%] 2025-12-04T09:42:06.7893024Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0273s] [ 2%] 2025-12-04T09:42:06.7893952Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0116s] [ 2%] 2025-12-04T09:42:06.7894849Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0237s] [ 2%] 2025-12-04T09:42:06.7895625Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0270s] [ 2%] 2025-12-04T09:42:06.7896579Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0293s] [ 2%] 2025-12-04T09:42:06.7897499Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0166s] [ 2%] 2025-12-04T09:42:06.7898497Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0295s] [ 2%] 2025-12-04T09:42:06.7899452Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0182s] [ 2%] 2025-12-04T09:42:06.7900356Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0337s] [ 2%] 2025-12-04T09:42:06.7901297Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0344s] [ 2%] 2025-12-04T09:42:06.7902205Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0255s] [ 2%] 2025-12-04T09:42:06.7903122Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0305s] [ 2%] 2025-12-04T09:42:06.7904039Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0291s] [ 2%] 2025-12-04T09:42:06.7904974Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0239s] [ 2%] 2025-12-04T09:42:06.7905870Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0319s] [ 2%] 2025-12-04T09:42:06.7906799Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0296s] [ 2%] 2025-12-04T09:42:06.7907727Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0287s] [ 2%] 2025-12-04T09:42:06.7908652Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0137s] [ 2%] 2025-12-04T09:42:06.7909557Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0153s] [ 2%] 2025-12-04T09:42:06.7911038Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0260s] [ 2%] 2025-12-04T09:42:06.7912365Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0308s] [ 2%] 2025-12-04T09:42:06.7913310Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0340s] [ 2%] 2025-12-04T09:42:06.7914319Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0165s] [ 2%] 2025-12-04T09:42:06.7915308Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0310s] [ 2%] 2025-12-04T09:42:06.7916198Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0225s] [ 2%] 2025-12-04T09:42:06.7917082Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0123s] [ 2%] 2025-12-04T09:42:06.7917966Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0302s] [ 2%] 2025-12-04T09:42:06.7918855Z test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs FAILED [0.0220s] [ 2%] 2025-12-04T09:42:06.7919372Z 2025-12-04T09:42:06.7919568Z =================================== FAILURES =================================== 2025-12-04T09:42:06.7920185Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.7920985Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.7921707Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.7922632Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.7925849Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.7929095Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.7930050Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.7931022Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.7932042Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.7933038Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.7933762Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.7934411Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.7935021Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.7935623Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.7936179Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.7936725Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.7937300Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.7938021Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.7938793Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.7939428Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.7940068Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.7940665Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.7941237Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.7941810Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.7942373Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.7942946Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.7943516Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.7944053Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.7944543Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.7945012Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.7945467Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.7945962Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.7946535Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.7947421Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.7948341Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.7949039Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.7949920Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.7951188Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.7953956Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.7956299Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.7957598Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.7958621Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.7959961Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.7961536Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.7963066Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.7963950Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.7964692Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.7965574Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.7966435Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.7967310Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.7968404Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.7969645Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.7970502Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.7971029Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.7971565Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.7971989Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.7972349Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.7972837Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.7974632Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.7976406Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.7977040Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.7977602Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.7978294Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.7978853Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.7979460Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.7980049Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.7980609Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.7981166Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.7981724Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.7982267Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.7982842Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.7983426Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.7983998Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.7984560Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.7985156Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.7985753Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.7986324Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.7986894Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.7987463Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.7988022Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.7988576Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.7989104Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.7989594Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.7990063Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.7990527Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.7991423Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.7992343Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.7993944Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.7995480Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.7996766Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.7998326Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8000268Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8003072Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8005885Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8007603Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8009331Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8011530Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8014689Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8017540Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8019227Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8020577Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8022158Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8023909Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8025595Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8027747Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8030066Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8031620Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8032555Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8033464Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8034177Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8034810Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8035680Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8038894Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8042018Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8043014Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8044025Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8045042Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8046056Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8047142Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8048217Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8049228Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8050242Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8051258Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8052255Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8053308Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8054421Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8055512Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8056597Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8057720Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8058882Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8059896Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8060900Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8061923Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8062936Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8063947Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8064906Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8065789Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8066622Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8067459Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8068347Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8069335Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8070906Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8072550Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8073825Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8075436Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8077462Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8080149Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8082799Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8084500Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8085885Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8087254Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8088841Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8090383Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8091256Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8091994Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8092876Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8093721Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8094586Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8095669Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8096924Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8097771Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8098430Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8098929Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8099334Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8099711Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8100185Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8101968Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8103730Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8104317Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8104877Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8105430Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8105981Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8106585Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8107198Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8107756Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8108314Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8108866Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8109419Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8109991Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8110564Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8111147Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8111729Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8112671Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8113274Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8113841Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8114399Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8114956Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8115518Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8116065Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8116602Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8117078Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8117535Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8117996Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8118603Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8119135Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8120063Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8121069Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8121760Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8122622Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8123714Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8125256Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8126774Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8127704Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8128639Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8129836Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8131375Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8132907Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8133769Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8134496Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8135352Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8136231Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8137115Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8138334Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8139591Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8140425Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8140936Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8141421Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8141807Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8142163Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8142625Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8144338Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8146007Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8146542Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8147092Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8147638Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8148181Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8148794Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8149383Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8149926Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8150481Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8151032Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8151583Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8152152Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8152771Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8153404Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8154012Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8154621Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8155210Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8155757Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8156309Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8156869Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8157422Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8157960Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8158486Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8158954Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8159407Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8159859Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8160341Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8160868Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8161714Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8162612Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8163308Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8164187Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8165269Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8166804Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8168317Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8169302Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8170270Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8171767Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8173319Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8174837Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8175697Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8176424Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8177428Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8178349Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8179209Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8180286Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8181534Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8182376Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8182882Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8183367Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8183752Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8184112Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8184586Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8186350Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8188093Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8188670Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8189226Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8189776Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8190314Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8190910Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8191498Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8192049Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8192607Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8193156Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8193705Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8194265Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8194823Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8195393Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8195962Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8196547Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8197119Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8197672Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8198221Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8198770Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8199314Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8199853Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8200383Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8200858Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8201321Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8201773Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8202304Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8202830Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8203734Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8204686Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8205376Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8206253Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8207333Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8208883Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8210406Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8211333Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8212491Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8213706Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8215242Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8216764Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8217615Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8218406Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8219271Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8220235Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8221156Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8222332Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8223584Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8224424Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8224935Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8225422Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8225819Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8226172Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8226639Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8228336Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8229980Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8230514Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8231072Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8231632Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8232166Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8232759Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8233343Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8233886Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8234430Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8234987Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8235523Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8236089Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8236702Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8237300Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8237897Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8238507Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8239082Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8239633Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8240197Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8240772Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8241321Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8241863Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8242392Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8242870Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8243322Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8243775Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8244266Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8244800Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8245636Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8246528Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8247218Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8248095Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8249185Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8250728Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8252252Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8253277Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8254283Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8255593Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8257153Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8258794Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8259666Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8260422Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8261299Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8262179Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8263059Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8264138Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8265392Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8266250Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8266790Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8267302Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8267696Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8268072Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8268559Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8270360Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8272371Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8273042Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8273623Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8274191Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8274746Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8275335Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8275943Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8276503Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8277070Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8277616Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8278172Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8278755Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8279338Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8279907Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8280486Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8281091Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8281686Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8282248Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8282816Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8283385Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8283955Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8284499Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8285046Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8285548Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8286016Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8286470Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8287088Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8287654Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8288577Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8289563Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8290396Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8291403Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8292864Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8294558Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8296179Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8297298Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8298464Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8299794Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8301496Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8303109Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8304102Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8324221Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8325116Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8326150Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8327088Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8328341Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8329628Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8330480Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8330988Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8331477Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8331865Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8332220Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8332697Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8334714Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8336397Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8336959Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8337559Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8338242Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8338807Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8339405Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8340011Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8340581Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8341155Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8341703Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8342253Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8342832Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8343503Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8344106Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8344718Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8345358Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8345954Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8346515Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8347071Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8347634Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8348190Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8348740Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8349292Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8349783Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8350252Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8350722Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8351252Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8351819Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8352702Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8353637Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8354341Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8355242Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8356346Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8357920Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8359447Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8360476Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8361476Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8363039Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8364619Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8366167Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8367068Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8367805Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8368682Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8369544Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8370427Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8371513Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8372755Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8373598Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8374121Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8374621Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8375013Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8375389Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8375871Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8377632Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8379508Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8380107Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8380668Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8381226Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8381778Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8382377Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8382964Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8383523Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8384073Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8384628Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8385163Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8385738Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8386460Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8387181Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8388030Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8388889Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8389584Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8390243Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8390798Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8391461Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8392139Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8392785Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8393319Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8393913Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8394481Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8394941Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8395619Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8396262Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8397269Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8398370Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8399254Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8400342Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8401551Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8403303Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8405038Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8406159Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8407214Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8408551Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8410354Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8412291Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8413534Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8414399Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8415419Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8416574Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8417641Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8419116Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8420526Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8421544Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8422063Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8422669Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8423137Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8423518Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8424104Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8426024Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8427895Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8428547Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8429202Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8429762Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8430312Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8431013Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8431602Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8432143Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8432750Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8433366Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8433914Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8434479Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8435116Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8435714Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8436314Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8437062Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8437648Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8438208Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8438760Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8439309Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8439858Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8440404Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8440931Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8441407Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8441862Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8442316Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8442809Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8443350Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8444316Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8445212Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8445903Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8446771Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8447859Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8449387Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8450904Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8451889Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8452881Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8454145Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8455684Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8457308Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8458273Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8459019Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8459892Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8460738Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8461605Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8462681Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8463933Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8464788Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8465318Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8465825Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8466232Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8466602Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8467067Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8468877Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8470640Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8471224Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8471796Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8472341Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8472898Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8473503Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8474110Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8474667Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8475225Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8475783Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8476349Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8476935Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8477509Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8478084Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8478894Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8479592Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8480174Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8480729Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8481287Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8481848Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8482404Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8482957Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8483623Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8484129Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8484586Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8485048Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8485645Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8486191Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8487081Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8488059Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8488763Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8489660Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8490765Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8492304Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8493835Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8494778Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8495719Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8496969Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8498761Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8500442Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8501307Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8502048Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8502920Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8503904Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8504767Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8505908Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8507279Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8508141Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8508670Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8509167Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8509551Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8509921Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8510405Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8512444Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8514492Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8515041Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8515603Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8516160Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8516712Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8517299Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8517888Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8518435Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8518993Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8519556Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8520135Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8520747Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8522018Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8522808Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8523569Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8524301Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8524928Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8525490Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8526074Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8526656Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8527246Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8527809Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8528395Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8528921Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8529391Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8529884Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8530417Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8530977Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8531851Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8532807Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8533537Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8534455Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8535814Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8537815Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8539439Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8540454Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8541444Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8542717Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8544264Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8545781Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8546649Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8547421Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8548325Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8549214Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8550115Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8551236Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8552517Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8553404Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8553957Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8554483Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8554884Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8555285Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8555786Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8557730Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8559623Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8560262Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8560856Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8561433Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8562001Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8562613Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8563232Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8563807Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8564407Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8564973Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8565525Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8566104Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8566684Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8567249Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8567816Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8568403Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8568985Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8569534Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8570093Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8570648Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8571202Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8571739Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8572290Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8572777Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8573238Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8573700Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8574578Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8575155Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8576230Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8577404Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8578292Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8579323Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8580493Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8582101Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8583673Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8584624Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8585578Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8586791Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8588339Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8589859Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8590737Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8591457Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8592314Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8593232Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8594112Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8595249Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8596510Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8597343Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8597992Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8598510Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8598892Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8599243Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8599706Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8601426Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8603092Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8603632Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8604187Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8604744Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8605291Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8605886Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8606469Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8607023Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8607576Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8608125Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8608661Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8609235Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8609867Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8610479Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8611086Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8611709Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8612541Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8613103Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8613661Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8614212Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8614768Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8615315Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8615849Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8616331Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8616795Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8617245Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8617757Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8618386Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8619239Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8620131Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8620824Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8621704Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8622795Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8624336Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8625853Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8626878Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8627871Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8629171Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8630715Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8632242Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8633107Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8633831Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8634681Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8635516Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8636364Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8637428Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8638680Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8639708Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8640307Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8640804Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8641190Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8641577Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8642251Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8644393Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8646177Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8646755Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8647303Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8647857Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8648402Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8648992Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8649584Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8650130Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8650680Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8651227Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8651764Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8652332Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8652903Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8653472Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8654032Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8654616Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8655192Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8655748Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8656296Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8656847Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8657437Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8658018Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8658693Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8659224Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8659722Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8660203Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8660871Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8661495Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8662999Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8664188Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8664894Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8665812Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8666931Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8668517Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8670435Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8671740Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8672711Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8673955Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8675525Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8677066Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8678200Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8679024Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8679908Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8681053Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8682584Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8684544Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8685870Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8686743Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8687297Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8687830Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8688268Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8688657Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8689152Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8690912Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8692601Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8693186Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8693768Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8694754Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8695457Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8696094Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8696715Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8697282Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8697849Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8698523Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8699074Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8699646Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8700295Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8700919Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8701536Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8702154Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8702742Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8703301Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8703867Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8704417Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8705014Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8705604Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8706530Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8707173Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8707726Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8708266Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8708847Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8709429Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8710377Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8711427Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8712501Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8713410Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8714552Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8716194Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8717790Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8719440Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8720741Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8722206Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8723788Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8725298Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8726163Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8726896Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8727763Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8728608Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8729463Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8730535Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8731771Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8732614Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8733131Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8733627Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8734012Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8734368Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8734829Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8736575Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8738385Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8738967Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8739534Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8740082Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8740631Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8741227Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8741817Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8742359Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8742913Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8743465Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8744015Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8744582Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8745152Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8745716Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8746281Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8746858Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8747453Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8748006Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8748561Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8749102Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8749655Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8750190Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8750715Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8751185Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8751649Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8752100Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8752629Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8753190Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8754050Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8755013Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8755705Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8756583Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8757667Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8759204Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8760722Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8761654Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8762591Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8763795Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8765333Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8765885Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8766134Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8766544Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8766925Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8767383Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8767779Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8768443Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8769026Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8769215Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8769467Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8769629Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8769781Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8769916Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8770167Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8771550Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8771780Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8772041Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8772283Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8772520Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8772754Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8773029Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8773270Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8773503Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8773749Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8773980Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8774213Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8774473Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8774766Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8775069Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8775337Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8775640Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8775879Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8776122Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8776365Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8776600Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8776831Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8777069Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8777294Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8777480Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8777679Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8777853Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8778088Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8778394Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8779090Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8779385Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8779729Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8780194Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8780751Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8781674Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8782225Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8783168Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8783763Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8784413Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8785311Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8785863Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8786109Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8786518Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8786904Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8787287Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8787689Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8788279Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8788865Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8789057Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8789321Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8789481Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8789626Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8789767Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8790023Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8791440Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8791743Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8792017Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8792258Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8792488Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8792731Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8793005Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8793248Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8793479Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8793718Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8793957Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8794196Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8794459Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8794691Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8794946Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8795184Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8795454Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8795691Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8795930Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8796164Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8796408Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8796644Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8796881Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8797102Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8797280Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8797484Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8797660Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8797959Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8798230Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8798783Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8799187Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8799531Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8799994Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8800546Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8801471Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8802020Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8802332Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8802893Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8803470Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8804376Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8804926Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8805185Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8805588Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8805977Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8806428Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8806835Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8807499Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8808080Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8808271Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8808525Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8808689Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8808832Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8808966Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8809224Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8810599Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8810843Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8811082Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8811325Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8811555Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8811850Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8812451Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8812705Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8812947Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8813189Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8813416Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8813654Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8814014Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8814251Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8814553Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8814837Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8815181Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8815411Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8815652Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8815884Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8816117Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8816354Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8816580Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8816810Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8816988Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8817193Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8817506Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8817750Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8817987Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8818576Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8818859Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8819205Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8819666Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8820238Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8821156Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8821708Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8822085Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8822674Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8823315Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8824223Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8824768Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8825016Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8825427Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8825808Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8826197Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8826593Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8827186Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8827776Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8827964Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8828216Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8828376Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8828529Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8828666Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8828927Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8830334Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8830651Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8830929Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8831171Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8831408Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8831642Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8831923Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8832156Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8832391Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8832639Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8832868Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8833102Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8833359Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8833590Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8833850Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8834083Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8834358Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8834590Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8834828Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8835064Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8835302Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8835553Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8835781Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8836005Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8836194Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8836397Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8836575Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8836863Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8837126Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8837669Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8838017Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8838367Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8838823Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8839379Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8840296Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8840844Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8841160Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8841706Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8842286Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8843184Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8843745Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8843994Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8844405Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8844788Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8845248Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8845655Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8846308Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8846897Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8847077Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8847336Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8847496Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8847637Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8847774Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8848038Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8849413Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8849641Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8849880Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8850118Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8850347Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8850588Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8850857Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8851095Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8851326Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8851564Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8851801Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8852031Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8852345Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8852577Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8852862Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8853133Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8853437Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8853673Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8853909Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8854144Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8854391Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8854623Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8854856Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8855075Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8855253Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8855455Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8855629Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8855867Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8856097Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8856635Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8856919Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8857256Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8857714Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8858369Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8859290Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8859835Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8860193Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8860785Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8861422Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8862331Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8862875Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8863139Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8863542Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8863933Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8864320Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8864725Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8865317Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8865902Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8866081Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8866335Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8866499Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8866642Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8866777Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8867037Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8868458Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8868761Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8869035Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8869284Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8869522Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8869755Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8870036Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8870272Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8870510Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8870749Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8870978Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8871216Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8871475Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8871713Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8871968Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8872202Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8872479Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8872710Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8872956Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8873188Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8873425Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8873664Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8873892Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8874125Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8874305Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8874507Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8874687Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8874958Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8875222Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8875765Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8876116Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8876462Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8876916Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8877476Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8878383Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8878947Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8879259Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8879811Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8880388Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8881290Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8881832Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8882082Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8882484Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8882865Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8883321Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8883747Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8884371Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8884949Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8885133Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8885382Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8885539Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8885683Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8885821Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8886085Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8887456Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8887689Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8887920Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8888156Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8888392Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8888626Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8888902Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8889133Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8889364Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8889610Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8889840Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8890075Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8890398Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8890633Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8890930Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8891196Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8891507Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8891737Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8891973Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8892211Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8892448Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8892683Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8892907Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8893130Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8893316Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8893512Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8893698Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8893924Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8894154Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8894695Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8894973Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8895317Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8895770Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8896339Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8897251Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8897795Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8898275Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8898824Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8911529Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8913059Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8913644Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8913916Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8914323Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8914711Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8915089Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8915489Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8916093Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8916690Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8916889Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8917151Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8917332Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8917490Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8917633Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8917903Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8919416Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8919792Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8920092Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8920350Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8920585Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8920821Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8921102Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8921333Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8921573Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8921811Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8922036Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8922260Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8922513Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8922745Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8923003Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8923237Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8923512Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8923739Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8923987Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8924218Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8924457Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8924694Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8924920Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8925144Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8925332Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8925530Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8925714Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8925995Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8926256Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8926836Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8927165Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8927509Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8927973Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8928541Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8929455Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8930004Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8930316Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8930866Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8931445Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8932338Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8932888Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8933133Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8933547Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8933931Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8934397Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8934823Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8935455Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8936070Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8936263Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8936532Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8936697Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8936850Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8936989Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8937244Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8938721Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8938958Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8939202Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8939441Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8939680Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8939916Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8940193Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8940433Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8940666Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8940910Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8941141Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8941371Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8941689Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8941959Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8942221Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8942489Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8942796Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8943035Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8943274Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8943515Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8943754Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8943988Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8944222Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8944446Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8944635Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8944847Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8945027Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8945264Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8945493Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8946049Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8946338Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8946679Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8947149Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8947705Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8948624Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8949170Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8949572Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8950126Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8950770Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8951673Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8952239Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8952502Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8952921Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8953341Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8953755Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8954193Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8954793Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8955417Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8955603Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8955869Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8956031Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8956193Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8956345Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8956603Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8958024Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8958337Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8958604Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8958856Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8959090Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8959330Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8959606Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8959837Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8960076Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8960321Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8960551Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8960780Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8961046Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8961291Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8961552Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8961787Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8962060Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8962298Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8962538Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8962775Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8963016Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8963248Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8963482Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8963707Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8963890Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8964098Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8964286Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8964570Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8964839Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8965415Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8965727Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8966070Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8966534Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8967090Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8968006Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8968548Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8968864Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8969410Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8970000Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8970900Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8971448Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8971697Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8972100Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8972486Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8972952Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8973387Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8974008Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8974592Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8974770Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8975020Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8975183Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8975328Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8975465Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8975714Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8977099Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8977329Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8977563Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8977805Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8978036Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8978367Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8978641Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8978873Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8979108Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8979346Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8979581Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8979810Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8980123Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8980400Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8980654Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.8980928Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8981233Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.8981483Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8981740Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.8981977Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8982228Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.8982462Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8982692Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.8982922Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.8983101Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.8983313Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.8983490Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8983722Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.8983954Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.8984496Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8984781Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.8985120Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.8985576Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8986150Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8987066Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8987624Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8988030Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.8988592Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.8989237Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.8990139Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8990685Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.8990946Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.8991350Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8991745Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8992126Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8992529Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.8993130Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8993709Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.8993900Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.8994153Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.8994323Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.8994468Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.8994606Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.8994867Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.8996271Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.8996579Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.8996857Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.8997111Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.8997342Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.8997576Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.8997866Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.8998107Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8998350Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.8998592Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.8998823Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.8999062Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.8999322Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.8999561Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.8999814Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.9000047Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9000325Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.9000559Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9000809Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.9001044Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9001286Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.9001525Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9001755Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.9001986Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.9002164Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.9002362Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.9002540Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9002824Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.9003085Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.9003668Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9003982Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.9004329Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.9004785Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9005343Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9006250Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9006802Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9007116Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.9007665Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9008244Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.9009138Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9009687Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9009935Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.9010342Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9010724Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9011181Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9011608Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9012600Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9013198Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9013380Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9013639Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.9013799Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.9013951Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.9014082Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.9014333Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.9015703Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.9015932Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.9016174Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.9016415Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.9016651Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.9016886Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.9017159Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.9017396Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9017626Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.9017868Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.9018195Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.9018431Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.9018796Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.9019089Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9019352Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.9019645Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9019951Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.9020196Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9020435Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.9020691Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9020931Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.9021161Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9021413Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.9021635Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.9021820Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.9022017Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.9022192Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9022428Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.9022658Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.9023301Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9023722Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.9024244Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.9024715Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9025276Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9026193Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9026743Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9027181Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.9027729Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9028388Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.9029290Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9029842Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9030089Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.9030494Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9030884Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9031435Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9032028Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9032633Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9033223Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9033407Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9033666Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.9033829Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.9033980Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.9034119Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.9034376Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.9035816Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.9036122Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.9036406Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.9036656Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.9036904Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.9037152Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.9037430Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.9037671Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9037902Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.9038143Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.9038382Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.9038611Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.9038881Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.9039114Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9039368Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.9039608Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9039882Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.9040117Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9040355Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.9040616Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9040857Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.9041089Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9041320Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.9041544Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.9041729Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.9041930Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.9042146Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9042383Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.9042645Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.9043225Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9043563Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.9043903Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.9044364Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9044923Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9045840Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9046389Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9046704Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.9047248Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9047829Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.9048727Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9049279Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9049525Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.9049931Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9050323Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9050788Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9051220Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9051843Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9052431Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9052612Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9052861Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.9053022Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.9053167Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.9053306Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.9053557Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.9054932Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.9055162Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.9055394Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.9055638Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.9055867Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.9056116Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.9056388Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.9056621Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9056856Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.9057092Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.9057326Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.9057556Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.9057857Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.9058300Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9058560Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.9058835Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9059137Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.9059368Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9059612Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.9059843Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9060089Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.9060318Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9060546Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.9060780Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.9060957Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.9061159Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.9061335Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9061572Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.9061810Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.9062346Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9062626Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.9062966Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.9063423Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9063985Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9064889Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9065442Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9065827Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.9066378Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9067016Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.9067931Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9068480Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9068735Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.9069138Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9069528Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9069913Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9070309Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9070909Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9071489Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9071679Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9071932Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.9072098Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.9072245Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.9072392Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.9072655Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.9074059Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.9074386Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.9074653Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.9074901Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.9075133Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.9075373Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.9075660Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.9075896Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9076136Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.9076375Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.9076607Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.9076846Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.9077102Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.9077338Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9077591Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.9077822Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9078097Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.9078328Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9078571Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.9078805Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9079042Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.9079282Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9079504Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.9079725Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.9079911Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.9080108Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.9080343Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9080570Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.9080832Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.9081449Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9081725Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.9082072Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.9082529Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9083092Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9083998Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9084547Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9084862Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.9085407Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9085983Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.9086878Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9087426Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9087672Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.9088081Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9088463Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9088922Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9089347Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9089971Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9090551Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9090733Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9091003Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.9091162Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.9091313Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.9091442Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.9091695Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.9093076Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.9093306Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.9093549Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.9093787Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.9094025Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.9094261Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.9094532Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.9094774Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9095006Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.9095253Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.9095482Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.9095711Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.9096025Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.9096294Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9096560Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.9096827Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9097126Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.9097379Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9097616Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.9097854Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9098093Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.9098440Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9098674Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.9098899Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.9099085Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.9099285Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.9099465Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9099699Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.9099927Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.9100473Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9100748Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.9101090Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.9101556Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9102113Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9103027Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9103572Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9103999Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.9104582Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9105194Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.9106087Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9106638Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9106884Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.9107285Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9107675Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9108064Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9108480Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9109073Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9109656Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9109837Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9110090Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.9110249Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.9110394Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.9110530Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.9110779Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.9112587Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.9112983Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.9113219Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.9113465Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.9113696Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.9113935Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.9114230Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.9114468Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9114705Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.9114945Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.9115181Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.9115409Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.9115669Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.9115907Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9116158Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.9116396Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9116665Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.9116895Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9117137Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.9117368Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9117616Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.9117845Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9118072Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.9118298Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.9118476Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.9118678Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.9118899Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9119125Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.9119394Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.9119994Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9120273Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.9120611Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.9121074Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9121626Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9122535Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9123084Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9123393Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.9123945Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9124513Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.9125420Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9125979Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9126231Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.9126633Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9127026Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9127493Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9127925Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9128556Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9129141Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9129336Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9129591Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.9129757Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.9129906Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.9130038Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.9130295Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.9131660Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.9131898Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.9132131Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.9132373Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.9132603Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.9132839Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.9133126Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.9133362Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9133603Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.9133846Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.9134075Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.9134313Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.9134643Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.9134921Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9135178Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.9135446Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9135754Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.9135987Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9136230Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.9136464Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9136704Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.9136946Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9137168Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.9137399Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.9137581Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.9137779Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.9137964Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9138316Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.9138554Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.9139092Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9139366Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.9139708Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.9140167Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9140726Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9141631Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9142180Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9142567Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.9143156Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9143768Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.9144677Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9145221Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9145467Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.9145877Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9146260Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9146657Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9147056Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9147649Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9148229Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9148413Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9148664Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.9148822Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.9148974Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.9149106Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.9149357Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.9150777Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.9151112Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.9151351Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.9151587Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.9151826Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.9152060Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.9152328Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.9152569Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9152804Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.9153045Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.9153275Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.9153503Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.9153768Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.9154000Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9154261Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.9154493Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9154763Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.9154999Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9155237Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.9155475Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9155714Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.9155946Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9156179Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.9156409Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.9156599Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.9156796Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.9157016Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9157248Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.9157511Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.9158134Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9158413Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.9158752Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.9159228Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9159778Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9160691Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9161232Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9161548Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.9162095Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9162671Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.9163570Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9164119Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9164361Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.9164770Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9165155Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9165611Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9166046Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9166667Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9167259Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9167438Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9167694Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.9167854Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.9167997Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.9168140Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.9168406Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.9169794Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.9170025Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.9170264Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.9170501Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.9170731Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.9170970Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.9171241Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.9171486Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9171719Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.9171958Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.9172191Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.9172418Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.9172720Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.9172988Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9173270Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.9173544Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9173814Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.9174051Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9174290Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.9174527Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9174772Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.9175001Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9175233Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.9175454Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.9175629Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.9175832Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.9176007Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9176237Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.9176463Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.9176994Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9177273Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.9177613Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.9178297Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9179004Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9179926Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9180472Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9180890Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.9181471Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9182079Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.9182988Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9183679Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9183957Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.9184371Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9184766Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9185157Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9185565Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9186163Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9186758Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9186943Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9187194Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.9187363Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.9187514Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.9187654Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.9187911Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.9189548Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.9189929Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.9190175Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.9190427Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.9190664Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.9190906Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.9191183Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.9191423Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9191667Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.9191914Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.9192154Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.9192388Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.9192647Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.9192888Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9193147Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.9193392Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9193664Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.9193898Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9194146Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.9194382Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9194633Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.9194870Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9195100Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.9195335Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.9195519Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.9195719Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.9196427Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9196660Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.9196935Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.9197563Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9197858Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.9198199Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.9198658Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9199225Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9200143Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9200698Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9201013Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.9201567Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9202141Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.9203049Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9203607Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9203867Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.9204276Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9204661Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9205135Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9205595Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9206191Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9206773Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9206963Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9207216Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.9207376Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.9207537Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.9207676Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.9207955Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.9209334Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.9209577Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.9209814Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.9210057Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.9210305Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.9210541Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.9210822Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.9211057Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9211290Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.9211537Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.9211765Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.9212266Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.9212666Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.9212962Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9213284Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.9213575Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9213849Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.9214079Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9214319Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.9214557Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9214794Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.9215030Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9215256Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.9215487Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.9215673Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.9215876Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.9216059Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9216285Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.9216513Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.9217063Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9217337Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.9217680Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.9218222Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9218788Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9219700Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9220252Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9220657Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.9221274Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9221852Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.9222751Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9223301Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9223548Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.9223960Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9224344Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9224742Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9225143Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9225732Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9226319Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9226505Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9226761Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.9226921Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.9227072Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.9227206Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.9227460Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.9228874Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.9229218Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.9229459Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.9229697Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.9229932Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.9230166Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.9230441Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.9230680Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9230913Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.9231156Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.9231385Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.9231614Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.9231880Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.9232113Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9232376Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.9232611Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9232882Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.9233122Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9233375Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.9233618Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9233857Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.9234088Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9234325Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.9234549Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.9234727Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.9234933Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.9235154Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9235396Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.9235661Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.9236345Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9236772Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.9237215Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.9237686Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9238241Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9239158Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9239705Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9240023Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.9240584Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9241163Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.9242066Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9242625Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9242873Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.9243275Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9243664Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9244146Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9244614Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9245203Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9245789Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9245971Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9246220Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.9246386Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.9246532Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.9246667Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.9246916Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.9248295Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.9248524Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.9248770Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.9249016Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.9249247Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.9249487Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.9249761Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.9249994Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9250230Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.9250466Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.9250700Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.9250930Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.9251257Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.9251525Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9251808Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.9252077Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9252349Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.9252580Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9252822Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.9253058Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9253301Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.9253532Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9253757Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.9253998Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.9254175Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.9254379Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.9254556Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9254782Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.9255015Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.9255553Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9255837Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.9256173Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.9256631Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9257193Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9258202Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9258761Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9259154Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.9259776Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9260348Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.9261254Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9261798Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9262059Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.9262469Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9262854Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9263238Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9263637Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9264231Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9264807Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9264994Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9265245Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.9265413Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.9265560Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.9265692Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.9265948Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.9267349Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.9267689Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.9267927Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.9268166Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.9268410Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.9268643Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.9268921Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.9269202Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9269464Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.9269709Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.9269944Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.9270180Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.9270437Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.9270669Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9270931Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.9271164Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9271443Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.9271673Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9271911Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.9272153Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9272394Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.9272634Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9272863Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.9273090Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.9273272Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.9273470Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.9273693Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9273918Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.9274179Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.9274811Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9275084Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.9275427Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.9275884Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9276450Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9277359Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9277907Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9278216Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.9278764Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9279339Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.9280233Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9280779Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9281024Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.9281429Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9281812Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9282273Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9282733Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9283326Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9283904Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9284166Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9284523Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.9284686Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.9284840Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.9284977Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.9285226Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.9286607Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.9286839Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.9287082Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.9287320Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.9287556Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.9287787Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.9288059Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.9288297Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9288528Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.9288769Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.9288998Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.9289228Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.9289553Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.9289821Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9290112Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.9290378Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9290650Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.9290885Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9291125Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.9291363Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9291602Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.9291832Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9292077Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.9292303Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.9292487Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.9292686Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.9292862Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9293097Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.9293324Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.9293868Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9294143Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.9294483Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.9294947Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9295499Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9296411Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9296969Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9297368Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.9297986Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9298668Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.9299568Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9300118Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9300366Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.9300770Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9301161Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9301541Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9301946Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9302538Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9303126Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9303308Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9303565Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.9303723Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.9303871Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.9304011Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.9304262Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.9305670Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.9306035Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.9306273Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.9306519Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.9306759Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.9307002Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.9307275Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.9307506Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9307742Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.9307977Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.9308211Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.9308439Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.9308695Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.9308929Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9309182Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.9309417Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9309683Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.9309915Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9310159Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.9310400Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9310643Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.9310873Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9311100Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.9311325Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.9311504Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.9311707Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.9311924Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9312400Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.9312944Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.9314088Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9314596Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.9315209Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.9316047Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9317054Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9318709Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9319702Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9320263Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.9321277Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9322302Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.9323951Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9324937Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9325388Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.9326115Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9326893Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9327627Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9328432Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9329511Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9330567Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9330897Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9331344Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.9331631Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.9331882Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.9332113Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.9332578Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.9335116Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.9335533Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.9335953Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.9336387Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.9336806Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.9337231Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.9337731Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.9338263Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9338696Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.9339121Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.9339537Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.9339965Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.9340480Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.9340951Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9344835Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.9345350Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9345860Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.9346288Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9346724Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.9347154Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9347587Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.9348046Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9348459Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.9348853Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.9349171Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.9349526Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.9349847Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9350270Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.9350687Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.9351674Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9352175Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.9352781Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.9353618Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9354637Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9356297Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9357281Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9357923Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.9359105Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9360135Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.9361778Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9362762Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9363204Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.9363934Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9364635Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9365324Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9366047Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9367117Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9368182Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9368502Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9368952Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.9369244Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.9369499Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.9369741Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.9370193Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.9372787Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.9373352Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.9373780Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.9374217Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.9374633Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.9375058Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.9375549Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.9375975Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9376398Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.9376821Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.9377246Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.9377664Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.9378238Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.9378673Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9379133Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.9379564Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9380049Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.9380471Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9380907Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.9381327Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9381764Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.9382190Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9382596Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.9382998Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.9383316Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.9383676Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.9384000Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9384409Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.9384880Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.9385993Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9386494Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.9387104Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.9387927Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9388944Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9390595Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9391587Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9392141Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.9393159Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9394193Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.9395840Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9396824Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9397267Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.9397996Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9398686Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9399430Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9400309Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9401389Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9402448Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9402773Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9403227Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.9403524Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.9403783Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.9404013Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.9404469Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.9407009Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.9407427Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.9407842Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.9408266Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.9408687Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.9409097Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.9409590Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.9410017Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9410431Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.9410864Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.9411279Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.9411699Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.9412381Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.9412916Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9413561Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.9414052Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9414543Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.9414963Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9415395Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.9415818Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9416249Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.9416681Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9417088Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.9417481Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.9417805Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.9418264Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.9418587Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9418999Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.9419408Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.9420394Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9420886Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.9421503Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.9422327Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9423349Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9425002Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9425990Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9426608Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.9427751Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9428790Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.9430424Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9431414Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9431846Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.9432575Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9433262Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9433955Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9434675Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9435740Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9436805Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9437121Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9437578Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.9437860Z ________________ TestUnbacked.test_do_not_guard_unbacked_inputs ________________ 2025-12-04T09:42:06.9438115Z [XPASS(strict)] https://github.com/pytorch/pytorch/issues/163785 2025-12-04T09:42:06.9438346Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:42:06.9438795Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] Python shape guard function: 2025-12-04T09:42:06.9441395Z V1204 09:42:04.005000 50730 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): 2025-12-04T09:42:06.9441939Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] def guard(L): 2025-12-04T09:42:06.9442363Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var0 = L['a'] 2025-12-04T09:42:06.9442792Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var1 = _var0.size 2025-12-04T09:42:06.9443217Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var2 = _var1() 2025-12-04T09:42:06.9443634Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var3 = _var2[1] 2025-12-04T09:42:06.9444122Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var0.stride()[0] == _var3): 2025-12-04T09:42:06.9444553Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9444968Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var4 = L['b'] 2025-12-04T09:42:06.9445400Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var5 = _var4.size 2025-12-04T09:42:06.9445813Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var6 = _var5() 2025-12-04T09:42:06.9446228Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] _var7 = _var2[0] 2025-12-04T09:42:06.9446696Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[0] == _var7): 2025-12-04T09:42:06.9447118Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9447575Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var6[1] == _var3): 2025-12-04T09:42:06.9448006Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9448490Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (_var4.stride()[0] == _var3): 2025-12-04T09:42:06.9448917Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9449348Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var7): 2025-12-04T09:42:06.9449771Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9450200Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] if not (0 <= _var3): 2025-12-04T09:42:06.9450622Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return False 2025-12-04T09:42:06.9451030Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return True 2025-12-04T09:42:06.9451424Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] return guard 2025-12-04T09:42:06.9451747Z V1204 09:42:04.005000 50730 site-packages/torch/_dynamo/guards.py:1786] [0/0] [__guards] 2025-12-04T09:42:06.9452099Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3990] [0/0] [__guards] GUARDS: 2025-12-04T09:42:06.9452413Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9452882Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] TREE_GUARD_MANAGER: 2025-12-04T09:42:06.9453294Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] +- RootGuardManager 2025-12-04T09:42:06.9454435Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9454930Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state() 2025-12-04T09:42:06.9455538Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack() 2025-12-04T09:42:06.9456367Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9457375Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=0), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9459146Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9460134Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9460695Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b']) 2025-12-04T09:42:06.9461708Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=1), type=, tag_safe=(True, False) 2025-12-04T09:42:06.9462745Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['b'], 94523846279824) # # a.expand(b.shape) # ar/lib/jenkins/workspace/test/test_dynamic_shapes.py:3403 in func 2025-12-04T09:42:06.9464393Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9465387Z V1204 09:42:04.006000 50730 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 2025-12-04T09:42:06.9465820Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] | | +- NO_TENSOR_ALIASING 2025-12-04T09:42:06.9466539Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9467234Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9467977Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9468836Z V1204 09:42:04.006000 50730 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) 2025-12-04T09:42:06.9469899Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9470954Z V1204 09:42:04.006000 50730 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 ) 2025-12-04T09:42:06.9471270Z V1204 09:42:04.006000 50730 site-packages/torch/_dynamo/guards.py:3698] [0/0] [__guards] 2025-12-04T09:42:06.9471719Z V1204 09:42:04.029000 50730 site-packages/torch/_dynamo/guards.py:3734] [0/0] [__guards] Guard eval latency = 78.73 us 2025-12-04T09:42:06.9472441Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dynamic_shapes/test_dynamic_shapes-8fdb5592cefddc56.xml - 2025-12-04T09:42:06.9472627Z =========================== short test summary info ============================ 2025-12-04T09:42:06.9473023Z FAILED [5.7453s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9473369Z FAILED [0.0376s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9473707Z FAILED [0.0143s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9474059Z FAILED [0.0150s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9474398Z FAILED [0.0153s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9474743Z FAILED [0.0115s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9475081Z FAILED [0.0300s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9475421Z FAILED [0.0315s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9475767Z FAILED [0.0360s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9476102Z FAILED [0.0121s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9476441Z FAILED [0.0237s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9476783Z FAILED [0.0247s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9477117Z FAILED [0.0114s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9477463Z FAILED [0.0116s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9477806Z FAILED [0.0318s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9478147Z FAILED [0.0368s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9478491Z FAILED [0.0252s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9478828Z FAILED [0.0293s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9479169Z FAILED [0.0254s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9479503Z FAILED [0.0133s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9479842Z FAILED [0.0297s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9480236Z FAILED [0.0300s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9480570Z FAILED [0.0273s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9481020Z FAILED [0.0116s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9481420Z FAILED [0.0237s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9481759Z FAILED [0.0270s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9482101Z FAILED [0.0293s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9482436Z FAILED [0.0166s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9482773Z FAILED [0.0295s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9483117Z FAILED [0.0182s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9483456Z FAILED [0.0337s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9483805Z FAILED [0.0344s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9484144Z FAILED [0.0255s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9484485Z FAILED [0.0305s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9484831Z FAILED [0.0291s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9485166Z FAILED [0.0239s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9485500Z FAILED [0.0319s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9485843Z FAILED [0.0296s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9486178Z FAILED [0.0287s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9486525Z FAILED [0.0137s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9486869Z FAILED [0.0153s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9487208Z FAILED [0.0260s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9487558Z FAILED [0.0308s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9487894Z FAILED [0.0340s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9488237Z FAILED [0.0165s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9488574Z FAILED [0.0310s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9488908Z FAILED [0.0225s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9489254Z FAILED [0.0123s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9489590Z FAILED [0.0302s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9489931Z FAILED [0.0220s] test_dynamic_shapes.py::TestUnbacked::test_do_not_guard_unbacked_inputs 2025-12-04T09:42:06.9490105Z ============================== 50 failed in 7.94s ============================== 2025-12-04T09:42:06.9490114Z 2025-12-04T09:42:06.9490623Z FINISHED PRINTING LOG FILE of test_dynamic_shapes 1/1 (test/test-reports/test_dynamic_shapes_1.1_12b4f93950e4b886_.log) 2025-12-04T09:42:06.9490630Z 2025-12-04T09:42:06.9490966Z Finished test_dynamic_shapes 1/1 ... [2025-12-04 09:42:06.790772][2973.209528573], took 0.23min 2025-12-04T09:42:06.9491797Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dynamic_shapes/test_dynamic_shapes-8fdb5592cefddc56.xml 2025-12-04T09:42:08.4564243Z Uploading logs for 57116084932 to S3 2025-12-04T09:42:08.5499480Z Uploading artifacts took 1.62 seconds 2025-12-04T09:42:08.5500332Z test_dynamic_shapes 1/1 failed! 2025-12-04T09:42:10.2584869Z 2025-12-04T09:42:10.2586242Z complex_tensor/test_complex_tensor 1/3 was successful, full logs can be found in artifacts with path test/test-reports/complex_tensor.test_complex_tensor_1.3_a1be2c297e604447_.log 2025-12-04T09:42:10.2587222Z Running 0 items in this shard: 2025-12-04T09:42:10.2587417Z 2025-12-04T09:42:10.2587738Z Finished complex_tensor/test_complex_tensor 1/3 ... [2025-12-04 09:42:10.258280][2976.677080845], took 0.12min 2025-12-04T09:42:10.3081924Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/complex_tensor.test_complex_tensor/complex_tensor.test_complex_tensor-e8ddca29784114a2.xml 2025-12-04T09:42:11.6189897Z Running optim/test_optim 1/1 ... [2025-12-04 09:42:11.618512][2978.037309954] 2025-12-04T09:42:11.6190364Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:42:11.6192138Z 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 09:42:11.618948] 2025-12-04T09:42:15.2012205Z Running functorch/test_ops 3/9 ... [2025-12-04 09:42:15.200723][2981.619520229] 2025-12-04T09:42:15.2012685Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:42:15.2015523Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=3', '--num-shards=9', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:42:15.201146] 2025-12-04T09:42:16.3578519Z 2025-12-04T09:42:16.3579550Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_74bfacd7a13aa53d_.log 2025-12-04T09:42:16.3580366Z 2025-12-04T09:42:16.3580711Z Finished optim/test_optim 1/1 ... [2025-12-04 09:42:16.357700][2982.776496396], took 0.08min 2025-12-04T09:42:21.1465899Z Running functorch/test_ops 9/9 ... [2025-12-04 09:42:21.145952][2987.56474637] 2025-12-04T09:42:21.1466724Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:42:21.1468706Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=9', '--num-shards=9', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:42:21.146507] 2025-12-04T09:42:37.6392538Z 2025-12-04T09:42:37.6393421Z functorch/test_ops 3/9 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_3.9_916e99e12e6f678c_.log 2025-12-04T09:42:37.6394151Z Running 0 items in this shard: 2025-12-04T09:42:37.6394338Z 2025-12-04T09:42:37.6394616Z Finished functorch/test_ops 3/9 ... [2025-12-04 09:42:37.639133][3004.057928489], took 0.37min 2025-12-04T09:42:37.6819357Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-e1c2d460affa0cae.xml 2025-12-04T09:42:42.1329396Z Running torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-12-04 09:42:42.132471][3008.551267869] 2025-12-04T09:42:42.1330108Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:42:42.1332290Z 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 09:42:42.132908] 2025-12-04T09:42:46.7802988Z 2025-12-04T09:42:46.7804295Z functorch/test_ops 9/9 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_9.9_36af16716c41b024_.log 2025-12-04T09:42:46.7805024Z Running 0 items in this shard: 2025-12-04T09:42:46.7805326Z 2025-12-04T09:42:46.7805739Z Finished functorch/test_ops 9/9 ... [2025-12-04 09:42:46.780074][3013.198873285], took 0.43min 2025-12-04T09:42:46.8286222Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-464b6af5e86174fc.xml 2025-12-04T09:42:46.9024260Z 2025-12-04T09:42:46.9025136Z 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_feb2e94d64634f7a_.log 2025-12-04T09:42:46.9026401Z Running 0 items in this shard: 2025-12-04T09:42:46.9026648Z 2025-12-04T09:42:46.9027121Z Finished torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-12-04 09:42:46.902345][3013.321140457], took 0.08min 2025-12-04T09:42:46.9228508Z 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_-c6f33552649fa162.xml 2025-12-04T09:42:51.2483384Z Running torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-12-04 09:42:51.247515][3017.666307816] 2025-12-04T09:42:51.2484356Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:42:51.2486375Z 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 09:42:51.248222] 2025-12-04T09:42:51.4112305Z Running torch_np/test_ndarray_methods 1/1 ... [2025-12-04 09:42:51.410742][3017.829540201] 2025-12-04T09:42:51.4112843Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:42:51.4115561Z 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 09:42:51.411215] 2025-12-04T09:42:56.2214333Z 2025-12-04T09:42:56.2215522Z 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_250fe9b16cc863a6_.log 2025-12-04T09:42:56.2216446Z Running 0 items in this shard: 2025-12-04T09:42:56.2216640Z 2025-12-04T09:42:56.2216989Z Finished torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-12-04 09:42:56.221272][3022.640070877], took 0.08min 2025-12-04T09:42:56.2745436Z 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-fe313340677338d1.xml 2025-12-04T09:42:56.3569724Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_ndarray_methods/torch_np.test_ndarray_methods-e284166274e802bd.xml 2025-12-04T09:42:56.5022640Z 2025-12-04T09:42:56.5023758Z 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_57802d800a427f5f_.log 2025-12-04T09:42:56.5024795Z Running 0 items in this shard: 2025-12-04T09:42:56.5025016Z 2025-12-04T09:42:56.5025656Z Finished torch_np/test_ndarray_methods 1/1 ... [2025-12-04 09:42:56.502157][3022.920952163], took 0.08min 2025-12-04T09:43:00.8179456Z Running test_view_ops 1/1 ... [2025-12-04 09:43:00.817467][3027.236264788] 2025-12-04T09:43:00.8180175Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:43:00.8182870Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_view_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:43:00.817916] 2025-12-04T09:43:01.6680353Z Running test_type_info 1/1 ... [2025-12-04 09:43:01.667538][3028.086336249] 2025-12-04T09:43:01.6681118Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:43:01.6683612Z 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 09:43:01.668032] 2025-12-04T09:43:06.1246055Z 2025-12-04T09:43:06.1246885Z test_type_info 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_info_1.1_d10e762739e6d0dd_.log 2025-12-04T09:43:06.1247558Z Running 0 items in this shard: 2025-12-04T09:43:06.1247703Z 2025-12-04T09:43:06.1247910Z Finished test_type_info 1/1 ... [2025-12-04 09:43:06.124540][3032.54333484], took 0.07min 2025-12-04T09:43:06.1750284Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_view_ops/test_view_ops-79cbccc1b26fe064.xml 2025-12-04T09:43:06.2549143Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_info/test_type_info-abe6d2197f198aa7.xml 2025-12-04T09:43:06.4197219Z 2025-12-04T09:43:06.4198207Z test_view_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_view_ops_1.1_ece97122df453522_.log 2025-12-04T09:43:06.4199063Z Running 0 items in this shard: 2025-12-04T09:43:06.4199293Z 2025-12-04T09:43:06.4199589Z Finished test_view_ops 1/1 ... [2025-12-04 09:43:06.419631][3032.838429122], took 0.09min 2025-12-04T09:43:10.9536221Z Running functorch/test_aotdispatch 1/1 ... [2025-12-04 09:43:10.953127][3037.371923756] 2025-12-04T09:43:10.9536729Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:43:10.9538631Z 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 09:43:10.953547] 2025-12-04T09:43:11.2646705Z Running torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-12-04 09:43:11.263805][3037.682596365] 2025-12-04T09:43:11.2647494Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:43:11.2649149Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dlpack.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:43:11.264408] 2025-12-04T09:43:16.3944988Z 2025-12-04T09:43:16.3946353Z torch_np/numpy_tests/core/test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dlpack_1.1_223957062da5a999_.log 2025-12-04T09:43:16.3947656Z Running 0 items in this shard: 2025-12-04T09:43:16.3947917Z 2025-12-04T09:43:16.3948364Z Finished torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-12-04 09:43:16.394385][3042.81318411], took 0.09min 2025-12-04T09:43:16.4494528Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_dlpack/torch_np.numpy_tests.core.test_dlpack-5a956e9b488cd328.xml 2025-12-04T09:43:18.7696286Z 2025-12-04T09:43:18.7697752Z functorch/test_aotdispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_1.1_5996d467e7f7a59d_.log 2025-12-04T09:43:18.7699065Z Running 0 items in this shard: 2025-12-04T09:43:18.7699328Z 2025-12-04T09:43:18.7699748Z Finished functorch/test_aotdispatch 1/1 ... [2025-12-04 09:43:18.769522][3045.188317189], took 0.13min 2025-12-04T09:43:18.8046829Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_aotdispatch/functorch.test_aotdispatch-27987f781e381d44.xml 2025-12-04T09:43:21.2990056Z Running test_scatter_gather_ops 1/1 ... [2025-12-04 09:43:21.298480][3047.71727757] 2025-12-04T09:43:21.2990739Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:43:21.2992999Z 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 09:43:21.298928] 2025-12-04T09:43:23.4554546Z Running test_cuda_multigpu 1/1 ... [2025-12-04 09:43:23.454930][3049.873727761] 2025-12-04T09:43:23.4555249Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:43:23.4557490Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_multigpu.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:43:23.455437] 2025-12-04T09:43:26.0941386Z 2025-12-04T09:43:26.0942363Z 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_26d53e2caa7ff065_.log 2025-12-04T09:43:26.0943204Z Running 0 items in this shard: 2025-12-04T09:43:26.0943454Z 2025-12-04T09:43:26.0943815Z Finished test_scatter_gather_ops 1/1 ... [2025-12-04 09:43:26.094013][3052.51281046], took 0.08min 2025-12-04T09:43:26.1558604Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_scatter_gather_ops/test_scatter_gather_ops-a110fdc482e10c2d.xml 2025-12-04T09:43:30.5325728Z Running functorch/test_vmap 1/1 ... [2025-12-04 09:43:30.532135][3056.950932905] 2025-12-04T09:43:30.5326114Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:43:30.5329493Z 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 09:43:30.532669] 2025-12-04T09:43:39.5743111Z 2025-12-04T09:43:39.5743786Z PRINTING LOG FILE of test_cuda_multigpu 1/1 (test/test-reports/test_cuda_multigpu_1.1_5d421880a05df242_.log) 2025-12-04T09:43:39.5744666Z Test results will be stored in test-reports/python-pytest/test_cuda_multigpu/test_cuda_multigpu-86a804d4f0df5294.xml 2025-12-04T09:43:39.5745293Z ============================= test session starts ============================== 2025-12-04T09:43:39.5745845Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T09:43:39.5746329Z cachedir: .pytest_cache 2025-12-04T09:43:39.5746912Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T09:43:39.5747548Z rootdir: /var/lib/jenkins/workspace 2025-12-04T09:43:39.5747843Z configfile: pytest.ini 2025-12-04T09:43:39.5748440Z 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 2025-12-04T09:43:39.5749170Z collecting ... collected 61 items / 50 deselected / 11 selected 2025-12-04T09:43:39.5749594Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T09:43:39.5770679Z Running 50 items in this shard: test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection, test/test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection 2025-12-04T09:43:39.5793949Z 2025-12-04T09:43:39.5796725Z test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection PASSED [0.1669s] [ 2%] 2025-12-04T09:43:39.5797825Z test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection FAILED [0.1852s] [ 2%] 2025-12-04T09:43:39.5798611Z test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection PASSED [0.2992s] [ 2%] 2025-12-04T09:43:39.5799521Z test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection FAILED [0.1462s] [ 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2%] 2025-12-04T09:43:39.5834827Z test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection PASSED [0.3087s] [ 2%] 2025-12-04T09:43:39.5835564Z test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection FAILED [0.1526s] [ 2%] 2025-12-04T09:43:39.5836506Z test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection PASSED [0.3019s] [ 2%] 2025-12-04T09:43:39.5837419Z test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection FAILED [0.1502s] [ 2%] 2025-12-04T09:43:39.5838207Z test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection PASSED [0.3367s] [ 2%] 2025-12-04T09:43:39.5839128Z test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection FAILED [0.1593s] [ 2%] 2025-12-04T09:43:39.5839664Z 2025-12-04T09:43:39.5839812Z =================================== FAILURES =================================== 2025-12-04T09:43:39.5840305Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.5840883Z Traceback (most recent call last): 2025-12-04T09:43:39.5841613Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.5842369Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.5842993Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.5843746Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.5845115Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.5846119Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.5847477Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.5847704Z 2025-12-04T09:43:39.5847882Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.5849852Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.5850358Z 2025-12-04T09:43:39.5850969Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.5852061Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.5854959Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.5857242Z with policy(): 2025-12-04T09:43:39.5857715Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.5858491Z Traceback (most recent call last): 2025-12-04T09:43:39.5859059Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.5859865Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.5860736Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.5861339Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.5862284Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.5863408Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.5864296Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.5864548Z 2025-12-04T09:43:39.5864748Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.5865574Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.5865955Z 2025-12-04T09:43:39.5866173Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.5866841Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.5868845Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.5870461Z with policy(): 2025-12-04T09:43:39.5870776Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.5872462Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.5874052Z with policy(): 2025-12-04T09:43:39.5874395Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.5874827Z Traceback (most recent call last): 2025-12-04T09:43:39.5875374Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.5875985Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.5876477Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.5876977Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.5877489Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.5877985Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.5878322Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.5878530Z 2025-12-04T09:43:39.5878712Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.5879249Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.5879625Z 2025-12-04T09:43:39.5879840Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.5880344Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.5882041Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.5883628Z with policy(): 2025-12-04T09:43:39.5883927Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.5885689Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.5887388Z with policy(): 2025-12-04T09:43:39.5887792Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.5888220Z Traceback (most recent call last): 2025-12-04T09:43:39.5888763Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.5889372Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.5889858Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.5890350Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.5890864Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.5891365Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.5891699Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.5891917Z 2025-12-04T09:43:39.5892088Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.5892628Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.5892997Z 2025-12-04T09:43:39.5893217Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.5893708Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.5895404Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.5896993Z with policy(): 2025-12-04T09:43:39.5897297Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.5899144Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.5900748Z with policy(): 2025-12-04T09:43:39.5901097Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.5901528Z Traceback (most recent call last): 2025-12-04T09:43:39.5902378Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.5903778Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.5905004Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.5906353Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.5907689Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.5909257Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.5910339Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.5910949Z 2025-12-04T09:43:39.5911526Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.5913181Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.5914096Z 2025-12-04T09:43:39.5914827Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.5916202Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.5919584Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.5923407Z with policy(): 2025-12-04T09:43:39.5925098Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.5928699Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.5932012Z with policy(): 2025-12-04T09:43:39.5932941Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.5936466Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1040842752 and is now 1040842752. 2025-12-04T09:43:39.5939628Z with policy(): 2025-12-04T09:43:39.5940162Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.5940866Z Traceback (most recent call last): 2025-12-04T09:43:39.5941788Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.5942816Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.5943594Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.5944410Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.5945153Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.5945798Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.5946261Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.5946572Z 2025-12-04T09:43:39.5946815Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.5947540Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.5948058Z 2025-12-04T09:43:39.5948355Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.5949051Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.5951313Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.5953397Z with policy(): 2025-12-04T09:43:39.5953821Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.5956004Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.5958012Z with policy(): 2025-12-04T09:43:39.5958409Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.5961115Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1040842752 and is now 1040842752. 2025-12-04T09:43:39.5965108Z with policy(): 2025-12-04T09:43:39.5965596Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.5966240Z Traceback (most recent call last): 2025-12-04T09:43:39.5966941Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.5967729Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.5968380Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.5969013Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.5969544Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.5970070Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.5970418Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.5970645Z 2025-12-04T09:43:39.5970831Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.5971375Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.5971761Z 2025-12-04T09:43:39.5971982Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.5972496Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.5974237Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.5975886Z with policy(): 2025-12-04T09:43:39.5976200Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.5977922Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.5979784Z with policy(): 2025-12-04T09:43:39.5980093Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.5981824Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1040842752 and is now 1040842752. 2025-12-04T09:43:39.5983459Z with policy(): 2025-12-04T09:43:39.5983819Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.5984262Z Traceback (most recent call last): 2025-12-04T09:43:39.5984811Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.5985428Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.5986247Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.5989132Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.5994531Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.5996163Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.5996520Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.5996738Z 2025-12-04T09:43:39.5997023Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.5997581Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.5997963Z 2025-12-04T09:43:39.5998187Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.5998697Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6000933Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6002978Z with policy(): 2025-12-04T09:43:39.6003380Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6005635Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6007767Z with policy(): 2025-12-04T09:43:39.6008157Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6010429Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1040842752 and is now 1040842752. 2025-12-04T09:43:39.6013994Z with policy(): 2025-12-04T09:43:39.6014451Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.6015019Z Traceback (most recent call last): 2025-12-04T09:43:39.6015738Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.6016541Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.6017184Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.6017838Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.6018601Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.6019113Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.6019461Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6019678Z 2025-12-04T09:43:39.6019853Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6020406Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6020783Z 2025-12-04T09:43:39.6021012Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6021518Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6025954Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6030767Z with policy(): 2025-12-04T09:43:39.6031225Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6033598Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6036209Z with policy(): 2025-12-04T09:43:39.6036945Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6039740Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1040842752 and is now 1040842752. 2025-12-04T09:43:39.6042383Z with policy(): 2025-12-04T09:43:39.6043215Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.6044137Z Traceback (most recent call last): 2025-12-04T09:43:39.6045258Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.6048883Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.6049784Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.6050655Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.6051553Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.6052460Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.6053102Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6053502Z 2025-12-04T09:43:39.6053847Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6054683Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6055229Z 2025-12-04T09:43:39.6055463Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6055984Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6057721Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6060381Z with policy(): 2025-12-04T09:43:39.6061382Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6065385Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6069115Z with policy(): 2025-12-04T09:43:39.6069794Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6072365Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1040842752 and is now 1040842752. 2025-12-04T09:43:39.6075119Z with policy(): 2025-12-04T09:43:39.6075600Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.6076267Z Traceback (most recent call last): 2025-12-04T09:43:39.6076991Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.6077762Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.6078275Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.6078788Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.6079412Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.6080241Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.6080806Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6081166Z 2025-12-04T09:43:39.6081475Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6082306Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6082864Z 2025-12-04T09:43:39.6083222Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6083959Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6086049Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6088136Z with policy(): 2025-12-04T09:43:39.6088699Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6092488Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6098399Z with policy(): 2025-12-04T09:43:39.6099026Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6101398Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1040842752 and is now 1040842752. 2025-12-04T09:43:39.6105171Z with policy(): 2025-12-04T09:43:39.6107405Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.6108901Z Traceback (most recent call last): 2025-12-04T09:43:39.6109940Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.6110651Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.6111157Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.6113463Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.6116749Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.6119975Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.6120516Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6120743Z 2025-12-04T09:43:39.6121244Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6124507Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6129845Z 2025-12-04T09:43:39.6132416Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6135544Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6137403Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6141069Z with policy(): 2025-12-04T09:43:39.6142372Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6145739Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6149567Z with policy(): 2025-12-04T09:43:39.6149922Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6151919Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1040842752 and is now 1040842752. 2025-12-04T09:43:39.6154093Z with policy(): 2025-12-04T09:43:39.6154543Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.6155130Z Traceback (most recent call last): 2025-12-04T09:43:39.6155855Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.6156668Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.6157269Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.6157782Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.6158307Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.6158919Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.6159386Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6159662Z 2025-12-04T09:43:39.6159911Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6160636Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6161139Z 2025-12-04T09:43:39.6161420Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6162097Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6164391Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6166438Z with policy(): 2025-12-04T09:43:39.6169076Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6173541Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6177562Z with policy(): 2025-12-04T09:43:39.6177938Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6179885Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1040842752 and is now 1040842752. 2025-12-04T09:43:39.6182155Z with policy(): 2025-12-04T09:43:39.6183007Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.6184355Z Traceback (most recent call last): 2025-12-04T09:43:39.6184916Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.6185590Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.6186262Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.6186936Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.6187629Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.6188315Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.6188768Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6189045Z 2025-12-04T09:43:39.6189284Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6190019Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6190539Z 2025-12-04T09:43:39.6190832Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6191346Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6193079Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6194693Z with policy(): 2025-12-04T09:43:39.6195003Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6196720Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6198339Z with policy(): 2025-12-04T09:43:39.6198640Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6200390Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1040842752 and is now 1040842752. 2025-12-04T09:43:39.6202010Z with policy(): 2025-12-04T09:43:39.6202385Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6204174Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1241251840 and is now 1241251840. 2025-12-04T09:43:39.6205907Z with policy(): 2025-12-04T09:43:39.6206257Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.6206694Z Traceback (most recent call last): 2025-12-04T09:43:39.6207246Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.6207857Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.6208356Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.6208866Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.6209383Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.6209895Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.6210236Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6210448Z 2025-12-04T09:43:39.6210628Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6211166Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6211547Z 2025-12-04T09:43:39.6211763Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6212746Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6214471Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6216069Z with policy(): 2025-12-04T09:43:39.6216376Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6218196Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6219794Z with policy(): 2025-12-04T09:43:39.6220092Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6222103Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1040842752 and is now 1040842752. 2025-12-04T09:43:39.6223720Z with policy(): 2025-12-04T09:43:39.6224024Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6225719Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1241251840 and is now 1241251840. 2025-12-04T09:43:39.6227358Z with policy(): 2025-12-04T09:43:39.6228336Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.6229128Z Traceback (most recent call last): 2025-12-04T09:43:39.6231522Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.6234146Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.6235907Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.6237691Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.6239187Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.6240765Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.6242769Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6243339Z 2025-12-04T09:43:39.6243916Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6245532Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6246588Z 2025-12-04T09:43:39.6247206Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6248127Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6250947Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6255259Z with policy(): 2025-12-04T09:43:39.6256688Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6259224Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6262093Z with policy(): 2025-12-04T09:43:39.6263307Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6266632Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1040842752 and is now 1040842752. 2025-12-04T09:43:39.6269481Z with policy(): 2025-12-04T09:43:39.6270024Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6272362Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1241251840 and is now 1241251840. 2025-12-04T09:43:39.6274371Z with policy(): 2025-12-04T09:43:39.6274821Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.6275395Z Traceback (most recent call last): 2025-12-04T09:43:39.6276121Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.6276950Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.6277669Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.6278868Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.6279796Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.6280536Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.6281029Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6281553Z 2025-12-04T09:43:39.6281868Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6282547Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6283038Z 2025-12-04T09:43:39.6283308Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6283973Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6286242Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6288295Z with policy(): 2025-12-04T09:43:39.6288731Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6290887Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6292970Z with policy(): 2025-12-04T09:43:39.6293353Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6295500Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1040842752 and is now 1040842752. 2025-12-04T09:43:39.6297646Z with policy(): 2025-12-04T09:43:39.6298236Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6300369Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1241251840 and is now 1241251840. 2025-12-04T09:43:39.6302166Z with policy(): 2025-12-04T09:43:39.6302479Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6304224Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1243348992 and is now 1243348992. 2025-12-04T09:43:39.6305838Z with policy(): 2025-12-04T09:43:39.6306193Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.6306632Z Traceback (most recent call last): 2025-12-04T09:43:39.6307190Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.6307805Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.6308545Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.6309139Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.6309735Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.6310245Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.6310653Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6310878Z 2025-12-04T09:43:39.6311054Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6311602Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6311975Z 2025-12-04T09:43:39.6312610Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6313187Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6314933Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6316548Z with policy(): 2025-12-04T09:43:39.6316859Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6320163Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6325601Z with policy(): 2025-12-04T09:43:39.6327677Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6329467Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1040842752 and is now 1040842752. 2025-12-04T09:43:39.6331080Z with policy(): 2025-12-04T09:43:39.6331387Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6333524Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1241251840 and is now 1241251840. 2025-12-04T09:43:39.6335673Z with policy(): 2025-12-04T09:43:39.6336076Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6338581Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1243348992 and is now 1243348992. 2025-12-04T09:43:39.6340734Z with policy(): 2025-12-04T09:43:39.6341199Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.6341776Z Traceback (most recent call last): 2025-12-04T09:43:39.6342496Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.6343628Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.6344289Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.6345174Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.6345958Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.6346635Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.6347079Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6347351Z 2025-12-04T09:43:39.6347583Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6348296Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6348697Z 2025-12-04T09:43:39.6348917Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6349425Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6351145Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6352759Z with policy(): 2025-12-04T09:43:39.6353070Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6354763Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6356677Z with policy(): 2025-12-04T09:43:39.6357159Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6359549Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1040842752 and is now 1040842752. 2025-12-04T09:43:39.6361748Z with policy(): 2025-12-04T09:43:39.6362219Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6364511Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1241251840 and is now 1241251840. 2025-12-04T09:43:39.6366823Z with policy(): 2025-12-04T09:43:39.6367332Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6369971Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1243348992 and is now 1243348992. 2025-12-04T09:43:39.6372371Z with policy(): 2025-12-04T09:43:39.6372969Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.6373666Z Traceback (most recent call last): 2025-12-04T09:43:39.6374842Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.6375767Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.6376455Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.6377173Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.6378528Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.6379477Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.6380109Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6380503Z 2025-12-04T09:43:39.6380832Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6381779Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6382289Z 2025-12-04T09:43:39.6382579Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6383237Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6385110Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6387315Z with policy(): 2025-12-04T09:43:39.6387715Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6389996Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6391802Z with policy(): 2025-12-04T09:43:39.6392119Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6394550Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1040842752 and is now 1040842752. 2025-12-04T09:43:39.6396874Z with policy(): 2025-12-04T09:43:39.6397316Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6399792Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1241251840 and is now 1241251840. 2025-12-04T09:43:39.6401558Z with policy(): 2025-12-04T09:43:39.6401867Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6403737Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1243348992 and is now 1243348992. 2025-12-04T09:43:39.6405656Z with policy(): 2025-12-04T09:43:39.6406621Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.6409052Z Traceback (most recent call last): 2025-12-04T09:43:39.6413813Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.6415007Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.6415521Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.6419290Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.6422435Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.6424628Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.6425224Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6425468Z 2025-12-04T09:43:39.6425673Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6426267Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6426649Z 2025-12-04T09:43:39.6426878Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6429017Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6434313Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6436485Z with policy(): 2025-12-04T09:43:39.6436810Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6439002Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6441169Z with policy(): 2025-12-04T09:43:39.6441669Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6443931Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1040842752 and is now 1040842752. 2025-12-04T09:43:39.6446043Z with policy(): 2025-12-04T09:43:39.6446551Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6448814Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1241251840 and is now 1241251840. 2025-12-04T09:43:39.6451041Z with policy(): 2025-12-04T09:43:39.6486806Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6489028Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1243348992 and is now 1243348992. 2025-12-04T09:43:39.6491554Z with policy(): 2025-12-04T09:43:39.6492114Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.6493104Z Traceback (most recent call last): 2025-12-04T09:43:39.6493885Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.6494864Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.6495464Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.6495972Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.6496939Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.6499127Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.6499527Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6499753Z 2025-12-04T09:43:39.6499993Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6500814Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6501294Z 2025-12-04T09:43:39.6501593Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6502292Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6505221Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6507441Z with policy(): 2025-12-04T09:43:39.6507943Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6510165Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6512673Z with policy(): 2025-12-04T09:43:39.6513176Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6515691Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1040842752 and is now 1040842752. 2025-12-04T09:43:39.6518098Z with policy(): 2025-12-04T09:43:39.6518602Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6520929Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1241251840 and is now 1241251840. 2025-12-04T09:43:39.6523701Z with policy(): 2025-12-04T09:43:39.6524052Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6526576Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1243348992 and is now 1243348992. 2025-12-04T09:43:39.6528642Z with policy(): 2025-12-04T09:43:39.6529495Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.6530196Z Traceback (most recent call last): 2025-12-04T09:43:39.6531054Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.6531877Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.6532667Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.6533178Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.6533684Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.6534195Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.6534539Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6534749Z 2025-12-04T09:43:39.6534932Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6535475Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6535850Z 2025-12-04T09:43:39.6536075Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6536588Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6538521Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6540103Z with policy(): 2025-12-04T09:43:39.6540412Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6542094Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6543678Z with policy(): 2025-12-04T09:43:39.6543980Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6545673Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1040842752 and is now 1040842752. 2025-12-04T09:43:39.6547269Z with policy(): 2025-12-04T09:43:39.6547574Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6549266Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1241251840 and is now 1241251840. 2025-12-04T09:43:39.6550849Z with policy(): 2025-12-04T09:43:39.6551151Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6552840Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1243348992 and is now 1243348992. 2025-12-04T09:43:39.6554489Z with policy(): 2025-12-04T09:43:39.6554844Z _______________ TestCudaMultiGPU.test_cuda_memory_leak_detection _______________ 2025-12-04T09:43:39.6555386Z Traceback (most recent call last): 2025-12-04T09:43:39.6555935Z File "/var/lib/jenkins/workspace/test/test_cuda_multigpu.py", line 1062, in test_cuda_memory_leak_detection 2025-12-04T09:43:39.6556592Z with self.assertRaisesRegex(RuntimeError, regex): 2025-12-04T09:43:39.6557085Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T09:43:39.6557583Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T09:43:39.6558098Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T09:43:39.6558598Z raise self.test_case.failureException(msg) 2025-12-04T09:43:39.6558933Z AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6559147Z 2025-12-04T09:43:39.6559322Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6559864Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6560235Z 2025-12-04T09:43:39.6560469Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6560964Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6562650Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6564259Z with policy(): 2025-12-04T09:43:39.6564564Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6566242Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 840368128 and is now 840368128. 2025-12-04T09:43:39.6567815Z with policy(): 2025-12-04T09:43:39.6568114Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6569791Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1040842752 and is now 1040842752. 2025-12-04T09:43:39.6571372Z with policy(): 2025-12-04T09:43:39.6571663Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6573352Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1241251840 and is now 1241251840. 2025-12-04T09:43:39.6574941Z with policy(): 2025-12-04T09:43:39.6575241Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T09:43:39.6576990Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:3328: UserWarning: CUDA caching allocator reports a memory leak not verified by the driver API in __main__.TestCudaMultiGPU.test_cuda_memory_leak_detection! Caching allocator allocated memory was 0 and is now reported as 33554432 on device 0. CUDA driver allocated memory was 1243348992 and is now 1243348992. 2025-12-04T09:43:39.6578702Z with policy(): 2025-12-04T09:43:39.6579436Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_multigpu/test_cuda_multigpu-86a804d4f0df5294.xml - 2025-12-04T09:43:39.6580236Z =========================== short test summary info ============================ 2025-12-04T09:43:39.6580945Z FAILED [0.1852s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6581473Z 2025-12-04T09:43:39.6581645Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6582183Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6582554Z 2025-12-04T09:43:39.6582768Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6583512Z FAILED [0.1462s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6584041Z 2025-12-04T09:43:39.6584209Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6584746Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6585113Z 2025-12-04T09:43:39.6585329Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6586069Z FAILED [0.1361s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6586598Z 2025-12-04T09:43:39.6586765Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6587293Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6587662Z 2025-12-04T09:43:39.6587872Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6588606Z FAILED [0.1466s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6589131Z 2025-12-04T09:43:39.6589301Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6589831Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6590202Z 2025-12-04T09:43:39.6590410Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6591129Z FAILED [0.1656s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6591769Z 2025-12-04T09:43:39.6591918Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6592334Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6592614Z 2025-12-04T09:43:39.6592777Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6593343Z FAILED [0.1476s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6593731Z 2025-12-04T09:43:39.6593862Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6594267Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6594543Z 2025-12-04T09:43:39.6594704Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6595248Z FAILED [0.1466s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6595626Z 2025-12-04T09:43:39.6595752Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6596142Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6596411Z 2025-12-04T09:43:39.6596643Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6597184Z FAILED [0.1408s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6597656Z 2025-12-04T09:43:39.6597782Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6598209Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6598481Z 2025-12-04T09:43:39.6598634Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6599167Z FAILED [0.1685s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6599545Z 2025-12-04T09:43:39.6599672Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6600061Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6600332Z 2025-12-04T09:43:39.6600492Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6601030Z FAILED [0.1438s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6601413Z 2025-12-04T09:43:39.6601539Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6601925Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6602193Z 2025-12-04T09:43:39.6602347Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6602894Z FAILED [0.1572s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6603271Z 2025-12-04T09:43:39.6603395Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6603782Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6604058Z 2025-12-04T09:43:39.6604218Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6604756Z FAILED [0.1490s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6605135Z 2025-12-04T09:43:39.6605261Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6605644Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6605911Z 2025-12-04T09:43:39.6606067Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6606598Z FAILED [0.1504s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6606974Z 2025-12-04T09:43:39.6607098Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6607481Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6607753Z 2025-12-04T09:43:39.6607907Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6608442Z FAILED [0.1644s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6608819Z 2025-12-04T09:43:39.6608939Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6609323Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6609590Z 2025-12-04T09:43:39.6609743Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6610275Z FAILED [0.1516s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6610649Z 2025-12-04T09:43:39.6610772Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6611210Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6611518Z 2025-12-04T09:43:39.6611711Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6612677Z FAILED [0.1457s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6613083Z 2025-12-04T09:43:39.6613215Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6613612Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6613885Z 2025-12-04T09:43:39.6614042Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6614582Z FAILED [0.1491s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6614959Z 2025-12-04T09:43:39.6615084Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6615476Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6615756Z 2025-12-04T09:43:39.6615909Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6616446Z FAILED [0.1455s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6616835Z 2025-12-04T09:43:39.6616965Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6617369Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6617647Z 2025-12-04T09:43:39.6617807Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6618454Z FAILED [0.1493s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6618838Z 2025-12-04T09:43:39.6618970Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6619365Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6619643Z 2025-12-04T09:43:39.6619799Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6620338Z FAILED [0.1519s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6620717Z 2025-12-04T09:43:39.6620843Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6621229Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6621502Z 2025-12-04T09:43:39.6621656Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6622194Z FAILED [0.1527s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6622576Z 2025-12-04T09:43:39.6622703Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6623100Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6623375Z 2025-12-04T09:43:39.6623530Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6624074Z FAILED [0.1526s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6624451Z 2025-12-04T09:43:39.6624577Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6624960Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6625234Z 2025-12-04T09:43:39.6625390Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6625926Z FAILED [0.1502s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6626390Z 2025-12-04T09:43:39.6626520Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6627151Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6627421Z 2025-12-04T09:43:39.6627610Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6628147Z FAILED [0.1593s] test_cuda_multigpu.py::TestCudaMultiGPU::test_cuda_memory_leak_detection - AssertionError: RuntimeError not raised 2025-12-04T09:43:39.6628525Z 2025-12-04T09:43:39.6628647Z To execute this test, run the following from the base repo dir: 2025-12-04T09:43:39.6629034Z python test/test_cuda_multigpu.py TestCudaMultiGPU.test_cuda_memory_leak_detection 2025-12-04T09:43:39.6629301Z 2025-12-04T09:43:39.6629453Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T09:43:39.6629814Z ================ 24 failed, 26 passed, 50 deselected in 11.38s ================= 2025-12-04T09:43:39.6630024Z 2025-12-04T09:43:39.6630297Z FINISHED PRINTING LOG FILE of test_cuda_multigpu 1/1 (test/test-reports/test_cuda_multigpu_1.1_5d421880a05df242_.log) 2025-12-04T09:43:39.6630658Z 2025-12-04T09:43:39.6630842Z Finished test_cuda_multigpu 1/1 ... [2025-12-04 09:43:39.575566][3065.994337856], took 0.27min 2025-12-04T09:43:39.6631571Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_multigpu/test_cuda_multigpu-86a804d4f0df5294.xml 2025-12-04T09:43:39.7496903Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_vmap/functorch.test_vmap-83caa2a1972622eb.xml 2025-12-04T09:43:40.4908655Z 2025-12-04T09:43:40.4911764Z functorch/test_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.1_ddf2bd2ec2229adc_.log 2025-12-04T09:43:40.4944487Z Running 50 items in this shard: test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCUDA::test_vmap_exhaustive_cholesky_solve_cuda_float32 2025-12-04T09:43:40.4973111Z 2025-12-04T09:43:40.4973542Z Finished functorch/test_vmap 1/1 ... [2025-12-04 09:43:40.490736][3066.909516623], took 0.17min 2025-12-04T09:43:40.8839075Z Uploading logs for 57116084932 to S3 2025-12-04T09:43:40.9707422Z Uploading artifacts took 1.18 seconds 2025-12-04T09:43:40.9707811Z test_cuda_multigpu 1/1 failed! 2025-12-04T09:53:13.2059603Z 2025-12-04T09:53:13.2060470Z test_mkldnn_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_fusion_1.1_68c963da3dbb298d_.log 2025-12-04T09:53:13.2072727Z 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 2025-12-04T09:53:13.2084163Z 2025-12-04T09:53:13.2084374Z Finished test_mkldnn_fusion 1/1 ... [2025-12-04 09:53:13.205880][3639.624676973], took 11.42min 2025-12-04T09:53:13.2395592Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_mkldnn_fusion/test_mkldnn_fusion-b7e30bf5ad7f2ed8.xml 2025-12-04T09:53:14.1541993Z Running test batch 'tests to run' cost 2779.33 seconds 2025-12-04T09:53:14.1555579Z Emitting td_test_failure_stats_v2 2025-12-04T09:53:14.1559806Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841994_0cf7e254d0f711f0bba70242ac110002 2025-12-04T09:53:14.2610150Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841994_0cf7e254d0f711f0bba70242ac110002 2025-12-04T09:53:14.2625180Z Emitting td_test_failure_stats_v2 2025-12-04T09:53:14.2627335Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841994_0d082e16d0f711f0bba70242ac110002 2025-12-04T09:53:14.2907043Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841994_0d082e16d0f711f0bba70242ac110002 2025-12-04T09:53:14.2918341Z Emitting td_test_failure_stats_v2 2025-12-04T09:53:14.2920015Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841994_0d0ca612d0f711f0bba70242ac110002 2025-12-04T09:53:14.3218374Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841994_0d0ca612d0f711f0bba70242ac110002 2025-12-04T09:53:14.3228734Z Emitting td_test_failure_stats_v2 2025-12-04T09:53:14.3230253Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841994_0d1162b0d0f711f0bba70242ac110002 2025-12-04T09:53:14.3596707Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841994_0d1162b0d0f711f0bba70242ac110002 2025-12-04T09:53:14.3607198Z Emitting td_test_failure_stats_v2 2025-12-04T09:53:14.3608696Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841994_0d1729b6d0f711f0bba70242ac110002 2025-12-04T09:53:14.4077946Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841994_0d1729b6d0f711f0bba70242ac110002 2025-12-04T09:53:14.4087784Z Emitting td_test_failure_stats_v2 2025-12-04T09:53:14.4089693Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841994_0d1e7f5ed0f711f0bba70242ac110002 2025-12-04T09:53:14.4390071Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841994_0d1e7f5ed0f711f0bba70242ac110002 2025-12-04T09:53:14.4401697Z Emitting td_test_failure_stats_v2 2025-12-04T09:53:14.4403299Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841994_0d234912d0f711f0bba70242ac110002 2025-12-04T09:53:14.4905565Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841994_0d234912d0f711f0bba70242ac110002 2025-12-04T09:53:14.4920354Z Emitting td_test_failure_stats_v2 2025-12-04T09:53:14.4921873Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841994_0d2b3348d0f711f0bba70242ac110002 2025-12-04T09:53:14.5229080Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841994_0d2b3348d0f711f0bba70242ac110002 2025-12-04T09:53:14.5241052Z Emitting td_test_failure_stats_v2 2025-12-04T09:53:14.5242764Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841994_0d301804d0f711f0bba70242ac110002 2025-12-04T09:53:14.5558271Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841994_0d301804d0f711f0bba70242ac110002 2025-12-04T09:53:14.5571183Z Emitting td_test_failure_stats_v2 2025-12-04T09:53:14.5572917Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841994_0d3521dcd0f711f0bba70242ac110002 2025-12-04T09:53:14.5869528Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841994_0d3521dcd0f711f0bba70242ac110002 2025-12-04T09:53:14.5883984Z Emitting td_test_failure_stats_v2 2025-12-04T09:53:14.5885943Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841994_0d39e73ad0f711f0bba70242ac110002 2025-12-04T09:53:14.6249140Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841994_0d39e73ad0f711f0bba70242ac110002 2025-12-04T09:53:14.6250368Z test_cuda_expandable_segments 1/1 failed! 2025-12-04T09:53:14.6251017Z test_decomp 11/22 failed! 2025-12-04T09:53:14.6251288Z test_decomp 5/22 failed! 2025-12-04T09:53:14.6251546Z test_cuda_expandable_segments 1/1 failed! 2025-12-04T09:53:14.6251967Z test_ops 7/9 failed! 2025-12-04T09:53:14.6252347Z inductor/test_aot_inductor 2/4 failed! 2025-12-04T09:53:14.6252661Z inductor/test_cudacodecache 1/1 failed! 2025-12-04T09:53:14.6253189Z inductor/test_inplace_padding 1/1 failed! 2025-12-04T09:53:14.6253672Z dynamo/test_decorators 1/1 failed! 2025-12-04T09:53:14.6254118Z test_dynamic_shapes 1/1 failed! 2025-12-04T09:53:14.6254489Z test_cuda_multigpu 1/1 failed! 2025-12-04T09:53:15.2320133Z 2025-12-04T09:53:15.2320635Z real 46m24.869s 2025-12-04T09:53:15.2321056Z user 126m17.528s 2025-12-04T09:53:15.2321392Z sys 35m46.793s 2025-12-04T09:53:15.2321721Z + assert_git_not_dirty 2025-12-04T09:53:15.2322023Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *rocm* ]] 2025-12-04T09:53:15.2322380Z + [[ linux-jammy-cuda12.8-py3.10-gcc11 != *xla* ]] 2025-12-04T09:53:15.2327253Z ++ git status --porcelain 2025-12-04T09:53:15.2328619Z ++ grep -v '?? third_party' 2025-12-04T09:53:32.8970842Z ++ true 2025-12-04T09:53:32.8971875Z + git_status= 2025-12-04T09:53:32.8973723Z + [[ -n '' ]] 2025-12-04T09:53:32.8974071Z + sccache_epilogue 2025-12-04T09:53:32.8974505Z + echo '::group::Sccache Compilation Log' 2025-12-04T09:53:32.8975261Z ##[group]Sccache Compilation Log 2025-12-04T09:53:32.8975604Z + echo '=================== sccache compilation log ===================' 2025-12-04T09:53:32.8975968Z =================== sccache compilation log =================== 2025-12-04T09:53:32.8976653Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-12-04T09:53:32.9097264Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-12-04T09:53:32.9098385Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-12-04T09:53:32.9098835Z + sccache --show-stats 2025-12-04T09:53:32.9122841Z Compile requests 1638 2025-12-04T09:53:32.9123341Z Compile requests executed 552 2025-12-04T09:53:32.9123816Z Cache hits 258 2025-12-04T09:53:32.9124213Z Cache hits (C/C++) 258 2025-12-04T09:53:32.9124495Z Cache misses 294 2025-12-04T09:53:32.9124759Z Cache misses (C/C++) 294 2025-12-04T09:53:32.9125019Z Cache hits rate 46.74 % 2025-12-04T09:53:32.9125296Z Cache hits rate (C/C++) 46.74 % 2025-12-04T09:53:32.9125567Z Cache timeouts 0 2025-12-04T09:53:32.9125827Z Cache read errors 0 2025-12-04T09:53:32.9126089Z Forced recaches 0 2025-12-04T09:53:32.9126352Z Cache write errors 0 2025-12-04T09:53:32.9126629Z Cache errors 0 2025-12-04T09:53:32.9126898Z Compilations 294 2025-12-04T09:53:32.9127379Z Compilation failures 0 2025-12-04T09:53:32.9127847Z Non-cacheable compilations 0 2025-12-04T09:53:32.9128305Z Non-cacheable calls 255 2025-12-04T09:53:32.9128591Z Non-compilation calls 831 2025-12-04T09:53:32.9128861Z Unsupported compiler calls 0 2025-12-04T09:53:32.9129124Z Average cache write 0.044 s 2025-12-04T09:53:32.9129395Z Average compiler 4.408 s 2025-12-04T09:53:32.9129665Z Average cache read hit 0.021 s 2025-12-04T09:53:32.9129934Z Failed distributed compilations 0 2025-12-04T09:53:32.9130121Z 2025-12-04T09:53:32.9130208Z Non-cacheable reasons: 2025-12-04T09:53:32.9130648Z unknown source language 250 2025-12-04T09:53:32.9130924Z -E 5 2025-12-04T09:53:32.9131293Z 2025-12-04T09:53:32.9131507Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T09:53:32.9131927Z Version (client) 0.10.0 2025-12-04T09:53:32.9132283Z + sccache --stop-server 2025-12-04T09:53:32.9145591Z Stopping sccache server... 2025-12-04T09:53:32.9147874Z Compile requests 1638 2025-12-04T09:53:32.9148360Z Compile requests executed 552 2025-12-04T09:53:32.9148817Z Cache hits 258 2025-12-04T09:53:32.9149251Z Cache hits (C/C++) 258 2025-12-04T09:53:32.9149556Z Cache misses 294 2025-12-04T09:53:32.9149813Z Cache misses (C/C++) 294 2025-12-04T09:53:32.9150068Z Cache hits rate 46.74 % 2025-12-04T09:53:32.9150354Z Cache hits rate (C/C++) 46.74 % 2025-12-04T09:53:32.9150642Z Cache timeouts 0 2025-12-04T09:53:32.9150910Z Cache read errors 0 2025-12-04T09:53:32.9151178Z Forced recaches 0 2025-12-04T09:53:32.9151433Z Cache write errors 0 2025-12-04T09:53:32.9151688Z Cache errors 0 2025-12-04T09:53:32.9151954Z Compilations 294 2025-12-04T09:53:32.9152290Z Compilation failures 0 2025-12-04T09:53:32.9152766Z Non-cacheable compilations 0 2025-12-04T09:53:32.9153226Z Non-cacheable calls 255 2025-12-04T09:53:32.9153685Z Non-compilation calls 831 2025-12-04T09:53:32.9154058Z Unsupported compiler calls 0 2025-12-04T09:53:32.9154330Z Average cache write 0.044 s 2025-12-04T09:53:32.9154606Z Average compiler 4.408 s 2025-12-04T09:53:32.9154882Z Average cache read hit 0.021 s 2025-12-04T09:53:32.9155155Z Failed distributed compilations 0 2025-12-04T09:53:32.9155347Z 2025-12-04T09:53:32.9155434Z Non-cacheable reasons: 2025-12-04T09:53:32.9155672Z unknown source language 250 2025-12-04T09:53:32.9155933Z -E 5 2025-12-04T09:53:32.9156102Z 2025-12-04T09:53:32.9156318Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T09:53:32.9156694Z Version (client) 0.10.0 2025-12-04T09:53:32.9156937Z + echo ::endgroup:: 2025-12-04T09:53:32.9157284Z ##[endgroup] 2025-12-04T09:53:32.9157443Z + cleanup_workspace 2025-12-04T09:53:32.9157796Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-12-04T09:53:32.9158343Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-12-04T09:53:32.9158807Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-12-04T09:53:32.9159264Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-12-04T09:53:32.9159656Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-12-04T09:53:32.9160286Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-12-04T09:53:32.9160632Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-12-04T09:53:33.9223071Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-12-04T09:53:33.9223448Z with: 2025-12-04T09:53:33.9223639Z benchmark-results-dir: test/test-reports 2025-12-04T09:53:33.9223873Z dry-run: false 2025-12-04T09:53:33.9224041Z schema-version: v3 2025-12-04T09:53:33.9224408Z github-token: *** 2025-12-04T09:53:33.9224584Z env: 2025-12-04T09:53:33.9224734Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:53:33.9224932Z HAS_NVIDIA_GPU: true 2025-12-04T09:53:33.9225166Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:53:33.9225567Z DOCKER_CONTAINER_ID: af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e 2025-12-04T09:53:33.9225915Z ##[endgroup] 2025-12-04T09:53:33.9241052Z ##[group]Run set -eux 2025-12-04T09:53:33.9241264Z set -eux 2025-12-04T09:53:33.9241604Z  2025-12-04T09:53:33.9241754Z if [[ -n "" ]]; then 2025-12-04T09:53:33.9241947Z  source "" 2025-12-04T09:53:33.9242137Z fi 2025-12-04T09:53:33.9242385Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T09:53:33.9242685Z  2025-12-04T09:53:33.9242843Z DEVICE_NAME="" 2025-12-04T09:53:33.9243029Z DEVICE_TYPE="" 2025-12-04T09:53:33.9243201Z  2025-12-04T09:53:33.9243371Z if command -v nvidia-smi; then 2025-12-04T09:53:33.9243686Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-12-04T09:53:33.9244092Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-12-04T09:53:33.9244473Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-12-04T09:53:33.9244775Z  python3 -mpip install torch==2.7.1 2025-12-04T09:53:33.9245013Z elif command -v rocminfo; then 2025-12-04T09:53:33.9245335Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-12-04T09:53:33.9245728Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-12-04T09:53:33.9246113Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-12-04T09:53:33.9246449Z  # GPU device name coming from rocminfo instead 2025-12-04T09:53:33.9246706Z  DEVICE_NAME=rocm 2025-12-04T09:53:33.9247045Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-12-04T09:53:33.9247382Z fi 2025-12-04T09:53:33.9247535Z  2025-12-04T09:53:33.9247726Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-12-04T09:53:33.9248011Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-12-04T09:53:33.9259898Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:53:33.9260189Z env: 2025-12-04T09:53:33.9260351Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:53:33.9260540Z HAS_NVIDIA_GPU: true 2025-12-04T09:53:33.9260775Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:53:33.9261172Z DOCKER_CONTAINER_ID: af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e 2025-12-04T09:53:33.9261518Z ##[endgroup] 2025-12-04T09:53:33.9308270Z + [[ -n '' ]] 2025-12-04T09:53:33.9308598Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T09:53:34.3012874Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:53:35.3549733Z Collecting boto3==1.35.33 2025-12-04T09:53:35.3706989Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-12-04T09:53:35.6642208Z Collecting psutil==7.0.0 2025-12-04T09:53:35.6679844Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-12-04T09:53:35.6965442Z Collecting pynvml==12.0.0 2025-12-04T09:53:35.6994011Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-12-04T09:53:36.7788342Z Collecting botocore<1.36.0,>=1.35.33 2025-12-04T09:53:36.7824970Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-12-04T09:53:36.9156722Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0) 2025-12-04T09:53:36.9553970Z Collecting s3transfer<0.11.0,>=0.10.0 2025-12-04T09:53:36.9586491Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-12-04T09:53:37.0018064Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-12-04T09:53:37.0050771Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-12-04T09:53:37.0127419Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-12-04T09:53:37.0135701Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10) 2025-12-04T09:53:37.1300019Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0) 2025-12-04T09:53:37.2493146Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-12-04T09:53:37.7592373Z Attempting uninstall: nvidia-ml-py 2025-12-04T09:53:37.7593286Z Found existing installation: nvidia-ml-py 11.525.84 2025-12-04T09:53:37.7606378Z Uninstalling nvidia-ml-py-11.525.84: 2025-12-04T09:53:37.7800742Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-12-04T09:53:37.8281456Z Attempting uninstall: psutil 2025-12-04T09:53:37.8282375Z Found existing installation: psutil 5.9.8 2025-12-04T09:53:37.8357897Z Uninstalling psutil-5.9.8: 2025-12-04T09:53:37.8364177Z Successfully uninstalled psutil-5.9.8 2025-12-04T09:53:37.9819844Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-12-04T09:53:38.0671752Z + DEVICE_NAME= 2025-12-04T09:53:38.0672022Z + DEVICE_TYPE= 2025-12-04T09:53:38.0672239Z + command -v nvidia-smi 2025-12-04T09:53:38.0672552Z + python3 -mpip install torch==2.7.1 2025-12-04T09:53:38.0672835Z /usr/bin/nvidia-smi 2025-12-04T09:53:38.2817834Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:53:38.5284398Z Collecting torch==2.7.1 2025-12-04T09:53:38.5416318Z Downloading torch-2.7.1-cp39-cp39-manylinux_2_28_x86_64.whl (821.1 MB) 2025-12-04T09:53:50.7374244Z Requirement already satisfied: jinja2 in /usr/lib/python3.9/site-packages (from torch==2.7.1) (2.11.3) 2025-12-04T09:53:50.7663072Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-12-04T09:53:50.7696664Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-12-04T09:53:50.8817578Z Collecting nvidia-nccl-cu12==2.26.2 2025-12-04T09:53:50.8845700Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-12-04T09:53:53.1704822Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-12-04T09:53:53.1738137Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-12-04T09:54:01.2621329Z Collecting sympy>=1.13.3 2025-12-04T09:54:01.2655911Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-12-04T09:54:01.3448013Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-12-04T09:54:01.3480300Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-12-04T09:54:02.8694359Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-12-04T09:54:02.8726640Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-12-04T09:54:03.0928224Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-12-04T09:54:03.0983407Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-12-04T09:54:08.2591176Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-12-04T09:54:08.2643957Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-12-04T09:54:08.4790663Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-12-04T09:54:08.4827819Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-12-04T09:54:10.6783813Z Collecting nvidia-nvtx-cu12==12.6.77 2025-12-04T09:54:10.6822975Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-12-04T09:54:10.7280339Z Collecting triton==3.3.1 2025-12-04T09:54:10.7314242Z Downloading triton-3.3.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-12-04T09:54:12.2276903Z Collecting filelock 2025-12-04T09:54:12.2306696Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-12-04T09:54:12.2653359Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-12-04T09:54:12.2719692Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-12-04T09:54:13.8525278Z Collecting fsspec 2025-12-04T09:54:13.8556677Z Downloading fsspec-2025.10.0-py3-none-any.whl (200 kB) 2025-12-04T09:54:13.8878372Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-12-04T09:54:13.8911444Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-12-04T09:54:13.9284120Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-12-04T09:54:13.9318819Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-12-04T09:54:16.4224022Z Collecting networkx 2025-12-04T09:54:16.4263451Z Downloading networkx-3.2.1-py3-none-any.whl (1.6 MB) 2025-12-04T09:54:16.4471765Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from torch==2.7.1) (4.15.0) 2025-12-04T09:54:16.4863602Z Collecting nvidia-curand-cu12==10.3.7.77 2025-12-04T09:54:16.4896181Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-12-04T09:54:17.0418511Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-12-04T09:54:17.0472040Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-12-04T09:54:17.0870313Z Requirement already satisfied: setuptools>=40.8.0 in /usr/lib/python3.9/site-packages (from triton==3.3.1->torch==2.7.1) (59.6.0) 2025-12-04T09:54:17.1138881Z Collecting mpmath<1.4,>=1.1.0 2025-12-04T09:54:17.1172120Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-12-04T09:54:17.1997892Z Requirement already satisfied: MarkupSafe>=0.23 in /usr/lib64/python3.9/site-packages (from jinja2->torch==2.7.1) (1.1.1) 2025-12-04T09:54:17.5032783Z Installing collected packages: nvidia-nvjitlink-cu12, nvidia-cusparse-cu12, nvidia-cublas-cu12, mpmath, triton, sympy, nvidia-nvtx-cu12, nvidia-nccl-cu12, nvidia-cusparselt-cu12, nvidia-cusolver-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, networkx, fsspec, filelock, torch 2025-12-04T09:54:25.1992312Z WARNING: The scripts proton and proton-viewer are installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T09:54:25.1993161Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T09:54:28.6566975Z WARNING: The script isympy is installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T09:54:28.6567737Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T09:54:54.6847262Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T09:54:54.6848437Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T09:54:54.8329830Z Successfully installed filelock-3.19.1 fsspec-2025.10.0 mpmath-1.3.0 networkx-3.2.1 nvidia-cublas-cu12-12.6.4.1 nvidia-cuda-cupti-cu12-12.6.80 nvidia-cuda-nvrtc-cu12-12.6.77 nvidia-cuda-runtime-cu12-12.6.77 nvidia-cudnn-cu12-9.5.1.17 nvidia-cufft-cu12-11.3.0.4 nvidia-cufile-cu12-1.11.1.6 nvidia-curand-cu12-10.3.7.77 nvidia-cusolver-cu12-11.7.1.2 nvidia-cusparse-cu12-12.5.4.2 nvidia-cusparselt-cu12-0.6.3 nvidia-nccl-cu12-2.26.2 nvidia-nvjitlink-cu12-12.6.85 nvidia-nvtx-cu12-12.6.77 sympy-1.14.0 torch-2.7.1 triton-3.3.1 2025-12-04T09:54:55.3639389Z + echo DEVICE_NAME= 2025-12-04T09:54:55.3639686Z + echo DEVICE_TYPE= 2025-12-04T09:54:55.3675742Z ##[group]Run set -eux 2025-12-04T09:54:55.3675966Z set -eux 2025-12-04T09:54:55.3676134Z  2025-12-04T09:54:55.3676310Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-12-04T09:54:55.3676571Z  echo "Missing github-token input" 2025-12-04T09:54:55.3676796Z  exit 1 2025-12-04T09:54:55.3676953Z fi 2025-12-04T09:54:55.3685742Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:54:55.3686166Z env: 2025-12-04T09:54:55.3686333Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:54:55.3686535Z HAS_NVIDIA_GPU: true 2025-12-04T09:54:55.3686767Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:54:55.3687162Z DOCKER_CONTAINER_ID: af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e 2025-12-04T09:54:55.3687691Z DEVICE_NAME: 2025-12-04T09:54:55.3687849Z DEVICE_TYPE: 2025-12-04T09:54:55.3688213Z GITHUB_TOKEN: *** 2025-12-04T09:54:55.3688394Z ##[endgroup] 2025-12-04T09:54:55.3722368Z + [[ -z *** ]] 2025-12-04T09:54:55.3802015Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-12-04T09:54:55.3802324Z with: 2025-12-04T09:54:55.3802602Z github-token: *** 2025-12-04T09:54:55.3802780Z env: 2025-12-04T09:54:55.3802930Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:54:55.3803120Z HAS_NVIDIA_GPU: true 2025-12-04T09:54:55.3803346Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:54:55.3803754Z DOCKER_CONTAINER_ID: af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e 2025-12-04T09:54:55.3804112Z DEVICE_NAME: 2025-12-04T09:54:55.3804274Z DEVICE_TYPE: 2025-12-04T09:54:55.3804426Z ##[endgroup] 2025-12-04T09:54:55.3874032Z ##[group]Run set -eux 2025-12-04T09:54:55.3874229Z set -eux 2025-12-04T09:54:55.3874385Z  2025-12-04T09:54:55.3874730Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:54:55.3881860Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:54:55.3882129Z env: 2025-12-04T09:54:55.3882291Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:54:55.3882644Z HAS_NVIDIA_GPU: true 2025-12-04T09:54:55.3882874Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:54:55.3883269Z DOCKER_CONTAINER_ID: af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e 2025-12-04T09:54:55.3883636Z DEVICE_NAME: 2025-12-04T09:54:55.3883807Z DEVICE_TYPE: 2025-12-04T09:54:55.3884081Z GITHUB_TOKEN: *** 2025-12-04T09:54:55.3884255Z ##[endgroup] 2025-12-04T09:54:55.3909392Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19922768520 i-021dbb4dc770d74ee 2025-12-04T09:54:57.2346238Z setting job-id=57116084932 2025-12-04T09:54:57.2346929Z setting job-name=linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 3, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests) 2025-12-04T09:54:57.2452896Z ##[group]Run set -eux 2025-12-04T09:54:57.2453152Z set -eux 2025-12-04T09:54:57.2453349Z  2025-12-04T09:54:57.2453539Z if [[ -n "" ]]; then 2025-12-04T09:54:57.2453778Z  source "" 2025-12-04T09:54:57.2453975Z fi 2025-12-04T09:54:57.2454146Z  2025-12-04T09:54:57.2454489Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-12-04T09:54:57.2454886Z  --schema-version "${SCHEMA_VERSION}" \ 2025-12-04T09:54:57.2455125Z  --repo "${REPO}" \ 2025-12-04T09:54:57.2455529Z  --head-branch "${HEAD_BRANCH}" \ 2025-12-04T09:54:57.2455775Z  --head-sha "${HEAD_SHA}" \ 2025-12-04T09:54:57.2456013Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-12-04T09:54:57.2456267Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-12-04T09:54:57.2456495Z  --job-id "${JOB_ID}" \ 2025-12-04T09:54:57.2456708Z  --job-name "${JOB_NAME}" 2025-12-04T09:54:57.2464389Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:54:57.2464677Z env: 2025-12-04T09:54:57.2464846Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:54:57.2465030Z HAS_NVIDIA_GPU: true 2025-12-04T09:54:57.2465255Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:54:57.2465644Z DOCKER_CONTAINER_ID: af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e 2025-12-04T09:54:57.2466193Z DEVICE_NAME: 2025-12-04T09:54:57.2466358Z DEVICE_TYPE: 2025-12-04T09:54:57.2466527Z SCHEMA_VERSION: v3 2025-12-04T09:54:57.2466721Z REPO: pytorch/pytorch 2025-12-04T09:54:57.2466919Z HEAD_BRANCH: refs/heads/main 2025-12-04T09:54:57.2467156Z HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:54:57.2467405Z WORKFLOW_RUN_ID: 19922768520 2025-12-04T09:54:57.2467586Z RUN_ATTEMPT: 1 2025-12-04T09:54:57.2467751Z JOB_ID: 57116084932 2025-12-04T09:54:57.2468184Z JOB_NAME: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 3, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests) 2025-12-04T09:54:57.2468648Z ##[endgroup] 2025-12-04T09:54:57.2493846Z + [[ -n '' ]] 2025-12-04T09:54:57.2495910Z + 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 19922768520 --run-attempt 1 --job-id 57116084932 --job-name 'linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 3, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests)' 2025-12-04T09:54:57.2919763Z ##[group]Run set -eux 2025-12-04T09:54:57.2919953Z set -eux 2025-12-04T09:54:57.2920124Z  2025-12-04T09:54:57.2920278Z if [[ -n "" ]]; then 2025-12-04T09:54:57.2920525Z  source "" 2025-12-04T09:54:57.2920691Z fi 2025-12-04T09:54:57.2920836Z  2025-12-04T09:54:57.2921118Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-12-04T09:54:57.2928177Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:54:57.2928449Z env: 2025-12-04T09:54:57.2928610Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:54:57.2928797Z HAS_NVIDIA_GPU: true 2025-12-04T09:54:57.2929033Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:54:57.2929430Z DOCKER_CONTAINER_ID: af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e 2025-12-04T09:54:57.2929788Z DEVICE_NAME: 2025-12-04T09:54:57.2929948Z DEVICE_TYPE: 2025-12-04T09:54:57.2930113Z ##[endgroup] 2025-12-04T09:54:57.2953697Z + [[ -n '' ]] 2025-12-04T09:54:57.2954425Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-12-04T09:54:58.1198065Z /home/ec2-user/.local/lib/python3.9/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-12-04T09:54:58.1199187Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T09:54:58.9576374Z ##[group]Run set -eux 2025-12-04T09:54:58.9576592Z set -eux 2025-12-04T09:54:58.9576766Z  2025-12-04T09:54:58.9576947Z # TODO (huydhn): Implement this part 2025-12-04T09:54:58.9577263Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:54:58.9585883Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:54:58.9586186Z env: 2025-12-04T09:54:58.9586350Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:54:58.9586547Z HAS_NVIDIA_GPU: true 2025-12-04T09:54:58.9586780Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:54:58.9587181Z DOCKER_CONTAINER_ID: af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e 2025-12-04T09:54:58.9587547Z DEVICE_NAME: 2025-12-04T09:54:58.9587706Z DEVICE_TYPE: 2025-12-04T09:54:58.9587869Z ##[endgroup] 2025-12-04T09:54:58.9614002Z + echo 'dependencies={}' 2025-12-04T09:54:58.9636908Z ##[group]Run set -eux 2025-12-04T09:54:58.9637113Z set -eux 2025-12-04T09:54:58.9637274Z  2025-12-04T09:54:58.9637430Z if [[ -n "" ]]; then 2025-12-04T09:54:58.9637632Z  source "" 2025-12-04T09:54:58.9637958Z fi 2025-12-04T09:54:58.9638186Z  2025-12-04T09:54:58.9638370Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-12-04T09:54:58.9638705Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-12-04T09:54:58.9639067Z  # We don't want the job to fail if the directory doesn't exist 2025-12-04T09:54:58.9639348Z  exit 0 2025-12-04T09:54:58.9639505Z fi 2025-12-04T09:54:58.9639657Z  2025-12-04T09:54:58.9639829Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-12-04T09:54:58.9640162Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T09:54:58.9640572Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T09:54:58.9640884Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T09:54:58.9641134Z  --runners "${RUNNER_INFO}" \ 2025-12-04T09:54:58.9641379Z  --dependencies "${DEPENDENCIES}" \ 2025-12-04T09:54:58.9641618Z  --dry-run 2025-12-04T09:54:58.9641799Z else 2025-12-04T09:54:58.9642069Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T09:54:58.9642453Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T09:54:58.9642746Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T09:54:58.9642980Z  --runners "${RUNNER_INFO}" \ 2025-12-04T09:54:58.9643232Z  --dependencies "${DEPENDENCIES}" 2025-12-04T09:54:58.9643450Z fi 2025-12-04T09:54:58.9650149Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:54:58.9650416Z env: 2025-12-04T09:54:58.9650572Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:54:58.9650761Z HAS_NVIDIA_GPU: true 2025-12-04T09:54:58.9650985Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:54:58.9651375Z DOCKER_CONTAINER_ID: af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e 2025-12-04T09:54:58.9651730Z DEVICE_NAME: 2025-12-04T09:54:58.9651889Z DEVICE_TYPE: 2025-12-04T09:54:58.9652085Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-12-04T09:54:58.9652314Z DRY_RUN: false 2025-12-04T09:54:58.9653374Z BENCHMARK_METADATA: {"timestamp": 1764842097, "schema_version": "v3", "name": "linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 3, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922768520, "run_attempt": 1, "job_id": 57116084932} 2025-12-04T09:54:58.9654789Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 60, "extra_info": {"hostname": "ip-10-0-53-84.ec2.internal"}, "name": "cuda", "type": "NVIDIA L4", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}] 2025-12-04T09:54:58.9655324Z DEPENDENCIES: {} 2025-12-04T09:54:58.9655491Z ##[endgroup] 2025-12-04T09:54:58.9680481Z + [[ -n '' ]] 2025-12-04T09:54:58.9680735Z + [[ ! -d test/test-reports ]] 2025-12-04T09:54:58.9681001Z + [[ false == \t\r\u\e ]] 2025-12-04T09:54:58.9683933Z + 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": 1764842097, "schema_version": "v3", "name": "linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 3, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922768520, "run_attempt": 1, "job_id": 57116084932}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 60, "extra_info": {"hostname": "ip-10-0-53-84.ec2.internal"}, "name": "cuda", "type": "NVIDIA L4", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}]' --dependencies '{}' 2025-12-04T09:54:59.1507161Z /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': 'dynamo/test_dynamic_shapes'}, {'test_file': 'inductor/test_cudagraph_trees'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'dynamo/test_misc'}, {'test_file': 'inductor/test_flex_attention'}, {'test_file': 'inductor/test_cuda_select_algorithm'}, {'test_file': 'inductor/test_compile_subprocess'}, {'test_file': 'export/test_retraceability'}, {'test_file': 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{'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-7eefbd91750e50a23982.json is not a benchmark record, skipping 2025-12-04T09:54:59.1558630Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T09:54:59.1672933Z ##[group]Run cat test/**/*_toprint.log || true 2025-12-04T09:54:59.1673276Z cat test/**/*_toprint.log || true 2025-12-04T09:54:59.1680737Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:54:59.1681012Z env: 2025-12-04T09:54:59.1681177Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:54:59.1681371Z HAS_NVIDIA_GPU: true 2025-12-04T09:54:59.1681598Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 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MONITOR_SCRIPT_PID: 58838 2025-12-04T09:54:59.1841838Z ##[endgroup] 2025-12-04T09:54:59.1867287Z /home/ec2-user/actions-runner/_work/_temp/d84ed6f0-e5bc-49d4-bcc9-37432195a0d0.sh: line 1: kill: (58838) - No such process 2025-12-04T09:54:59.1877974Z ##[error]Process completed with exit code 1. 2025-12-04T09:54:59.1980286Z Prepare all required actions 2025-12-04T09:54:59.1980634Z Getting action download info 2025-12-04T09:54:59.3861037Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T09:54:59.9506177Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-12-04T09:55:01.9331809Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-12-04T09:55:01.9332069Z with: 2025-12-04T09:55:01.9332396Z file-suffix: test-default-3-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_57116084932 2025-12-04T09:55:01.9332788Z s3-bucket: gha-artifacts 2025-12-04T09:55:01.9332972Z env: 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test/test-reports/torch_np.numpy_tests.core.test_dlpack_1.1_223957062da5a999_.log (deflated 51%) 2025-12-04T09:55:02.5043792Z adding: test/test-reports/functorch.test_aotdispatch_1.1_5996d467e7f7a59d_.log (deflated 52%) 2025-12-04T09:55:02.5044411Z adding: test/test-reports/test_scatter_gather_ops_1.1_26d53e2caa7ff065_.log (deflated 50%) 2025-12-04T09:55:02.5045005Z adding: test/test-reports/functorch.test_vmap_1.1_ddf2bd2ec2229adc_.log (deflated 95%) 2025-12-04T09:55:02.5080090Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-12-04T09:55:02.5080591Z # Remove any previous debugging artifacts if they exist 2025-12-04T09:55:02.5080886Z rm -f debug-*.zip 2025-12-04T09:55:02.5081090Z if [ -d 'test/debug' ]; then 2025-12-04T09:55:02.5081340Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-12-04T09:55:02.5081579Z fi 2025-12-04T09:55:02.5088259Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:55:02.5088530Z env: 2025-12-04T09:55:02.5088692Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:55:02.5088890Z HAS_NVIDIA_GPU: true 2025-12-04T09:55:02.5089112Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:55:02.5089514Z DOCKER_CONTAINER_ID: af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e 2025-12-04T09:55:02.5089867Z DEVICE_NAME: 2025-12-04T09:55:02.5090029Z DEVICE_TYPE: 2025-12-04T09:55:02.5090342Z FILE_SUFFIX: test-default-3-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_57116084932 2025-12-04T09:55:02.5090721Z ##[endgroup] 2025-12-04T09:55:02.5206310Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:55:02.5206556Z with: 2025-12-04T09:55:02.5206720Z s3-bucket: gha-artifacts 2025-12-04T09:55:02.5206958Z s3-prefix: pytorch/pytorch/19922768520/1/artifact 2025-12-04T09:55:02.5207208Z retention-days: 14 2025-12-04T09:55:02.5207390Z if-no-files-found: warn 2025-12-04T09:55:02.5207581Z path: test-jsons-*.zip 2025-12-04T09:55:02.5207752Z name: artifact 2025-12-04T09:55:02.5207921Z region: us-east-1 2025-12-04T09:55:02.5208087Z env: 2025-12-04T09:55:02.5208239Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:55:02.5208431Z HAS_NVIDIA_GPU: true 2025-12-04T09:55:02.5208661Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:55:02.5209052Z DOCKER_CONTAINER_ID: af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e 2025-12-04T09:55:02.5209398Z DEVICE_NAME: 2025-12-04T09:55:02.5209560Z DEVICE_TYPE: 2025-12-04T09:55:02.5209711Z ##[endgroup] 2025-12-04T09:55:03.0506644Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:55:03.0507337Z With the provided path, there will be 1 file uploaded 2025-12-04T09:55:03.0508666Z Uploading to s3 prefix: pytorch/pytorch/19922768520/1/artifact 2025-12-04T09:55:03.0561109Z Starting upload of test-jsons-test-default-3-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_57116084932.zip 2025-12-04T09:55:03.2247157Z Finished upload of test-jsons-test-default-3-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_57116084932.zip 2025-12-04T09:55:03.2482408Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:55:03.2482647Z with: 2025-12-04T09:55:03.2482810Z s3-bucket: gha-artifacts 2025-12-04T09:55:03.2483040Z s3-prefix: pytorch/pytorch/19922768520/1/artifact 2025-12-04T09:55:03.2483290Z retention-days: 14 2025-12-04T09:55:03.2483473Z if-no-files-found: error 2025-12-04T09:55:03.2483663Z path: test-reports-*.zip 2025-12-04T09:55:03.2483847Z name: artifact 2025-12-04T09:55:03.2484016Z region: us-east-1 2025-12-04T09:55:03.2484178Z env: 2025-12-04T09:55:03.2484328Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:55:03.2484536Z HAS_NVIDIA_GPU: true 2025-12-04T09:55:03.2484773Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:55:03.2485166Z DOCKER_CONTAINER_ID: af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e 2025-12-04T09:55:03.2485515Z DEVICE_NAME: 2025-12-04T09:55:03.2485682Z DEVICE_TYPE: 2025-12-04T09:55:03.2485841Z ##[endgroup] 2025-12-04T09:55:03.5436505Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:55:03.5436937Z With the provided path, there will be 1 file uploaded 2025-12-04T09:55:03.5437342Z Uploading to s3 prefix: pytorch/pytorch/19922768520/1/artifact 2025-12-04T09:55:03.5490639Z Starting upload of test-reports-test-default-3-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_57116084932.zip 2025-12-04T09:55:03.7163877Z Finished upload of test-reports-test-default-3-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_57116084932.zip 2025-12-04T09:55:03.7424310Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:55:03.7424561Z with: 2025-12-04T09:55:03.7424741Z s3-bucket: gha-artifacts 2025-12-04T09:55:03.7424989Z s3-prefix: pytorch/pytorch/19922768520/1/artifact 2025-12-04T09:55:03.7425231Z retention-days: 14 2025-12-04T09:55:03.7425414Z if-no-files-found: ignore 2025-12-04T09:55:03.7425603Z path: logs-*.zip 2025-12-04T09:55:03.7425763Z name: artifact 2025-12-04T09:55:03.7425929Z region: us-east-1 2025-12-04T09:55:03.7426091Z env: 2025-12-04T09:55:03.7426235Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:55:03.7426424Z HAS_NVIDIA_GPU: true 2025-12-04T09:55:03.7426659Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:55:03.7427055Z DOCKER_CONTAINER_ID: af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e 2025-12-04T09:55:03.7427397Z DEVICE_NAME: 2025-12-04T09:55:03.7427560Z DEVICE_TYPE: 2025-12-04T09:55:03.7427736Z ##[endgroup] 2025-12-04T09:55:04.0356739Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T09:55:04.0357185Z With the provided path, there will be 1 file uploaded 2025-12-04T09:55:04.0357642Z Uploading to s3 prefix: pytorch/pytorch/19922768520/1/artifact 2025-12-04T09:55:04.0410136Z Starting upload of logs-test-default-3-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_57116084932.zip 2025-12-04T09:55:04.1771530Z Finished upload of logs-test-default-3-5-lf.linux.g6.4xlarge.experimental.nvidia.gpu_57116084932.zip 2025-12-04T09:55:04.2016782Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T09:55:04.2017017Z with: 2025-12-04T09:55:04.2017178Z s3-bucket: gha-artifacts 2025-12-04T09:55:04.2017413Z s3-prefix: pytorch/pytorch/19922768520/1/artifact 2025-12-04T09:55:04.2017663Z retention-days: 14 2025-12-04T09:55:04.2017843Z if-no-files-found: ignore 2025-12-04T09:55:04.2018090Z path: debug-*.zip 2025-12-04T09:55:04.2018258Z name: artifact 2025-12-04T09:55:04.2018417Z region: us-east-1 2025-12-04T09:55:04.2018584Z env: 2025-12-04T09:55:04.2018738Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:55:04.2018923Z HAS_NVIDIA_GPU: true 2025-12-04T09:55:04.2019263Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:55:04.2019877Z DOCKER_CONTAINER_ID: af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e 2025-12-04T09:55:04.2020247Z DEVICE_NAME: 2025-12-04T09:55:04.2020415Z DEVICE_TYPE: 2025-12-04T09:55:04.2020576Z ##[endgroup] 2025-12-04T09:55:04.4913078Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-12-04T09:55:04.5180730Z ##[group]Run # shellcheck disable=SC2156 2025-12-04T09:55:04.5181063Z # shellcheck disable=SC2156 2025-12-04T09:55:04.5181543Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-12-04T09:55:04.5189322Z shell: /usr/bin/bash -e {0} 2025-12-04T09:55:04.5189535Z env: 2025-12-04T09:55:04.5189695Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:55:04.5189906Z HAS_NVIDIA_GPU: true 2025-12-04T09:55:04.5190142Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:55:04.5190603Z DOCKER_CONTAINER_ID: af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e 2025-12-04T09:55:04.5191010Z DEVICE_NAME: 2025-12-04T09:55:04.5191174Z DEVICE_TYPE: 2025-12-04T09:55:04.5191339Z ##[endgroup] 2025-12-04T09:55:04.8776204Z Prepare all required actions 2025-12-04T09:55:04.8776552Z Getting action download info 2025-12-04T09:55:05.0817547Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548) 2025-12-04T09:55:06.6243948Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-12-04T09:55:06.6244220Z with: 2025-12-04T09:55:06.6244380Z job_id: 57116084932 2025-12-04T09:55:06.6244815Z job_name: linux-jammy-cuda12.8-py3.10-gcc11 / test (default, 3, 5, lf.linux.g6.4xlarge.experimental.nvidia.gpu, rerun_disabled_tests) 2025-12-04T09:55:06.6245309Z workflow_name: trunk 2025-12-04T09:55:06.6245502Z workflow_run_id: 19922768520 2025-12-04T09:55:06.6245693Z workflow_attempt: 1 2025-12-04T09:55:06.6245864Z env: 2025-12-04T09:55:06.6246031Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:55:06.6246221Z HAS_NVIDIA_GPU: true 2025-12-04T09:55:06.6246446Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:55:06.6246875Z DOCKER_CONTAINER_ID: af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e 2025-12-04T09:55:06.6247240Z DEVICE_NAME: 2025-12-04T09:55:06.6247408Z DEVICE_TYPE: 2025-12-04T09:55:06.6247567Z ##[endgroup] 2025-12-04T09:55:06.6310206Z ##[group]Run actions/setup-python@v6 2025-12-04T09:55:06.6310438Z with: 2025-12-04T09:55:06.6310597Z python-version: 3.10 2025-12-04T09:55:06.6310783Z check-latest: false 2025-12-04T09:55:06.6311049Z token: *** 2025-12-04T09:55:06.6311223Z update-environment: true 2025-12-04T09:55:06.6311422Z allow-prereleases: false 2025-12-04T09:55:06.6311607Z freethreaded: false 2025-12-04T09:55:06.6311785Z env: 2025-12-04T09:55:06.6311932Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:55:06.6312391Z HAS_NVIDIA_GPU: true 2025-12-04T09:55:06.6312621Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:55:06.6313027Z DOCKER_CONTAINER_ID: af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e 2025-12-04T09:55:06.6313379Z DEVICE_NAME: 2025-12-04T09:55:06.6313545Z DEVICE_TYPE: 2025-12-04T09:55:06.6313701Z ##[endgroup] 2025-12-04T09:55:07.8602733Z ##[group]Installed versions 2025-12-04T09:55:07.8610929Z Version 3.10 was not found in the local cache 2025-12-04T09:55:07.9412619Z (node:112984) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T09:55:07.9413335Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T09:55:08.3120529Z ##[error]The version '3.10' with architecture 'x64' was not found for this operating system. The list of all available versions can be found here: https://raw.githubusercontent.com/actions/python-versions/main/versions-manifest.json 2025-12-04T09:55:08.3315438Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-12-04T09:55:08.3315957Z with: 2025-12-04T09:55:08.3316104Z env: 2025-12-04T09:55:08.3316265Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:55:08.3316459Z HAS_NVIDIA_GPU: true 2025-12-04T09:55:08.3316693Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:55:08.3317085Z DOCKER_CONTAINER_ID: af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e 2025-12-04T09:55:08.3317434Z DEVICE_NAME: 2025-12-04T09:55:08.3317602Z DEVICE_TYPE: 2025-12-04T09:55:08.3317753Z ##[endgroup] 2025-12-04T09:55:08.3347961Z ##[group]Run set -eou pipefail 2025-12-04T09:55:08.3348261Z set -eou pipefail 2025-12-04T09:55:08.3348492Z  2025-12-04T09:55:08.3348817Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-12-04T09:55:08.3349225Z for _ in $(seq 1440); do 2025-12-04T09:55:08.3349548Z  # Break if no ssh session exists anymore 2025-12-04T09:55:08.3349855Z  if [ "$(who)" = "" ]; then 2025-12-04T09:55:08.3350121Z  break 2025-12-04T09:55:08.3350322Z  fi 2025-12-04T09:55:08.3350520Z  echo "." 2025-12-04T09:55:08.3350727Z  sleep 5 2025-12-04T09:55:08.3350931Z done 2025-12-04T09:55:08.3358381Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:55:08.3358657Z env: 2025-12-04T09:55:08.3358818Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:55:08.3359019Z HAS_NVIDIA_GPU: true 2025-12-04T09:55:08.3359251Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:55:08.3359648Z DOCKER_CONTAINER_ID: af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e 2025-12-04T09:55:08.3359992Z DEVICE_NAME: 2025-12-04T09:55:08.3360159Z DEVICE_TYPE: 2025-12-04T09:55:08.3360318Z ##[endgroup] 2025-12-04T09:55:08.3386667Z Holding runner for 2 hours until all ssh sessions have logged out 2025-12-04T09:55:08.3772738Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:55:08.3773158Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:55:08.3773469Z # shellcheck disable=SC2046 2025-12-04T09:55:08.3773713Z docker stop $(docker ps -q) || true 2025-12-04T09:55:08.3773962Z # Prune all of the docker images 2025-12-04T09:55:08.3774193Z docker system prune -af 2025-12-04T09:55:08.3781025Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:55:08.3781305Z env: 2025-12-04T09:55:08.3781463Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:55:08.3781649Z HAS_NVIDIA_GPU: true 2025-12-04T09:55:08.3781874Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:55:08.3782278Z DOCKER_CONTAINER_ID: af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e 2025-12-04T09:55:08.3782640Z DEVICE_NAME: 2025-12-04T09:55:08.3782799Z DEVICE_TYPE: 2025-12-04T09:55:08.3782960Z ##[endgroup] 2025-12-04T09:55:32.5685836Z af4121d91af0 2025-12-04T09:55:33.5040235Z Deleted Containers: 2025-12-04T09:55:33.5040682Z af4121d91af00678fe520dc40e9b91948bd15738d61e2aeeb7662982fe38241e 2025-12-04T09:55:33.5041000Z 2025-12-04T09:55:44.2604546Z Deleted Images: 2025-12-04T09:55:44.2605467Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:55:44.2606623Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:ba21003510dba4bdeed83df81a56fa468e0ee1b612a9445ae1f402a280804f97 2025-12-04T09:55:44.2607428Z deleted: sha256:add7313791033822205cdb3cf32096534b2cfaa4855bd48119b59000bfe00301 2025-12-04T09:55:44.2608020Z deleted: sha256:85a76b7bf29ad34eb76cce6f46af5d49a58b6272f80f983d5c769e82c7749301 2025-12-04T09:55:44.2608597Z deleted: sha256:0882f3ce59ff5ae30195ee4b059fc713e13eda107a3a7814a4616ac9058a30a4 2025-12-04T09:55:44.2609531Z deleted: 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Please use a userland alternative instead. 2025-12-04T09:55:44.3968851Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T09:55:44.4126370Z Post job cleanup. 2025-12-04T09:55:44.4163143Z Post job cleanup. 2025-12-04T09:55:44.5082881Z [command]/usr/bin/git version 2025-12-04T09:55:44.5118600Z git version 2.50.1 2025-12-04T09:55:44.5151637Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/7fdc651a-f0af-491c-ad68-9079e42244e8/.gitconfig' 2025-12-04T09:55:44.5160968Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/7fdc651a-f0af-491c-ad68-9079e42244e8' before making global git config changes 2025-12-04T09:55:44.5161808Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T09:55:44.5165801Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:55:44.5205141Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T09:55:44.5244265Z [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' || :" 2025-12-04T09:55:44.5580853Z Entering 'android/libs/fbjni' 2025-12-04T09:55:44.5655307Z Entering 'third_party/FP16' 2025-12-04T09:55:44.5724573Z Entering 'third_party/FXdiv' 2025-12-04T09:55:44.5793367Z Entering 'third_party/NNPACK' 2025-12-04T09:55:44.5863503Z Entering 'third_party/NVTX' 2025-12-04T09:55:44.5930463Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:55:44.6002145Z Entering 'third_party/XNNPACK' 2025-12-04T09:55:44.6089028Z Entering 'third_party/aiter' 2025-12-04T09:55:44.6153395Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:55:44.6235193Z Entering 'third_party/benchmark' 2025-12-04T09:55:44.6307116Z Entering 'third_party/composable_kernel' 2025-12-04T09:55:44.6378533Z Entering 'third_party/cpp-httplib' 2025-12-04T09:55:44.6442895Z Entering 'third_party/cpuinfo' 2025-12-04T09:55:44.6513670Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:55:44.6583308Z Entering 'third_party/cutlass' 2025-12-04T09:55:44.6658263Z Entering 'third_party/fbgemm' 2025-12-04T09:55:44.6724622Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:55:44.6791975Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:55:44.6865641Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:55:44.6930221Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:55:44.7001798Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:55:44.7069550Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:55:44.7132798Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:55:44.7205196Z Entering 'third_party/flash-attention' 2025-12-04T09:55:44.7276252Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:55:44.7345479Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:55:44.7419643Z Entering 'third_party/flatbuffers' 2025-12-04T09:55:44.7485751Z Entering 'third_party/fmt' 2025-12-04T09:55:44.7553686Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:55:44.7626586Z Entering 'third_party/gloo' 2025-12-04T09:55:44.7690325Z Entering 'third_party/googletest' 2025-12-04T09:55:44.7761865Z Entering 'third_party/ideep' 2025-12-04T09:55:44.7832570Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T09:55:44.7911255Z Entering 'third_party/ittapi' 2025-12-04T09:55:44.7978176Z Entering 'third_party/kineto' 2025-12-04T09:55:44.8041615Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:55:44.8103328Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:55:44.8177510Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:55:44.8241398Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:55:44.8313353Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:55:44.8384413Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:55:44.8452875Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:55:44.8521712Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:55:44.8584864Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:55:44.8656580Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:55:44.8721513Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:55:44.8783513Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:55:44.8859350Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:55:44.8928441Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:55:44.8992064Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:55:44.9056884Z Entering 'third_party/kleidiai' 2025-12-04T09:55:44.9126062Z Entering 'third_party/mimalloc' 2025-12-04T09:55:44.9190316Z Entering 'third_party/nlohmann' 2025-12-04T09:55:44.9267972Z Entering 'third_party/onnx' 2025-12-04T09:55:44.9353680Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:55:44.9430178Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:55:44.9493931Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:55:44.9559384Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:55:44.9629269Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:55:44.9701651Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:55:44.9772384Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:55:44.9838973Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:55:44.9907883Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:55:44.9975714Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:55:45.0041541Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:55:45.0116951Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:55:45.0206104Z Entering 'third_party/pocketfft' 2025-12-04T09:55:45.0272123Z Entering 'third_party/protobuf' 2025-12-04T09:55:45.0339153Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:55:45.0402707Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:55:45.0470751Z Entering 'third_party/psimd' 2025-12-04T09:55:45.0541182Z Entering 'third_party/pthreadpool' 2025-12-04T09:55:45.0609897Z Entering 'third_party/pybind11' 2025-12-04T09:55:45.0675518Z Entering 'third_party/python-peachpy' 2025-12-04T09:55:45.0736614Z Entering 'third_party/sleef' 2025-12-04T09:55:45.0801310Z Entering 'third_party/tensorpipe' 2025-12-04T09:55:45.0867154Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:55:45.0930790Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:55:45.1001963Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:55:45.1072889Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:55:45.1133273Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:55:45.1226236Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T09:55:45.1249399Z http.https://github.com/.extraheader 2025-12-04T09:55:45.1259244Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-12-04T09:55:45.1290943Z [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' || :" 2025-12-04T09:55:45.1625518Z Entering 'android/libs/fbjni' 2025-12-04T09:55:45.1667642Z http.https://github.com/.extraheader 2025-12-04T09:55:45.1712464Z Entering 'third_party/FP16' 2025-12-04T09:55:45.1755607Z http.https://github.com/.extraheader 2025-12-04T09:55:45.1794219Z Entering 'third_party/FXdiv' 2025-12-04T09:55:45.1836659Z http.https://github.com/.extraheader 2025-12-04T09:55:45.1878355Z Entering 'third_party/NNPACK' 2025-12-04T09:55:45.1919420Z http.https://github.com/.extraheader 2025-12-04T09:55:45.1960472Z Entering 'third_party/NVTX' 2025-12-04T09:55:45.2006222Z http.https://github.com/.extraheader 2025-12-04T09:55:45.2051392Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:55:45.2099845Z http.https://github.com/.extraheader 2025-12-04T09:55:45.2139503Z Entering 'third_party/XNNPACK' 2025-12-04T09:55:45.2181895Z http.https://github.com/.extraheader 2025-12-04T09:55:45.2236384Z Entering 'third_party/aiter' 2025-12-04T09:55:45.2278260Z http.https://github.com/.extraheader 2025-12-04T09:55:45.2320467Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:55:45.2361582Z http.https://github.com/.extraheader 2025-12-04T09:55:45.2411036Z Entering 'third_party/benchmark' 2025-12-04T09:55:45.2458360Z http.https://github.com/.extraheader 2025-12-04T09:55:45.2499561Z Entering 'third_party/composable_kernel' 2025-12-04T09:55:45.2540566Z http.https://github.com/.extraheader 2025-12-04T09:55:45.2593644Z Entering 'third_party/cpp-httplib' 2025-12-04T09:55:45.2636666Z http.https://github.com/.extraheader 2025-12-04T09:55:45.2677839Z Entering 'third_party/cpuinfo' 2025-12-04T09:55:45.2720110Z http.https://github.com/.extraheader 2025-12-04T09:55:45.2760333Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:55:45.2806832Z http.https://github.com/.extraheader 2025-12-04T09:55:45.2845290Z Entering 'third_party/cutlass' 2025-12-04T09:55:45.2887088Z http.https://github.com/.extraheader 2025-12-04T09:55:45.2934344Z Entering 'third_party/fbgemm' 2025-12-04T09:55:45.2978208Z http.https://github.com/.extraheader 2025-12-04T09:55:45.3022763Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:55:45.3067728Z http.https://github.com/.extraheader 2025-12-04T09:55:45.3114445Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:55:45.3156021Z http.https://github.com/.extraheader 2025-12-04T09:55:45.3201704Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:55:45.3249058Z http.https://github.com/.extraheader 2025-12-04T09:55:45.3290308Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:55:45.3331861Z http.https://github.com/.extraheader 2025-12-04T09:55:45.3379978Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:55:45.3422253Z http.https://github.com/.extraheader 2025-12-04T09:55:45.3462242Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:55:45.3506410Z http.https://github.com/.extraheader 2025-12-04T09:55:45.3545178Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:55:45.3586744Z http.https://github.com/.extraheader 2025-12-04T09:55:45.3629371Z Entering 'third_party/flash-attention' 2025-12-04T09:55:45.3671418Z http.https://github.com/.extraheader 2025-12-04T09:55:45.3715307Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:55:45.3756880Z http.https://github.com/.extraheader 2025-12-04T09:55:45.3802971Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:55:45.3845082Z http.https://github.com/.extraheader 2025-12-04T09:55:45.3895352Z Entering 'third_party/flatbuffers' 2025-12-04T09:55:45.3941070Z http.https://github.com/.extraheader 2025-12-04T09:55:45.3988521Z Entering 'third_party/fmt' 2025-12-04T09:55:45.4039670Z http.https://github.com/.extraheader 2025-12-04T09:55:45.4080369Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:55:45.4125931Z http.https://github.com/.extraheader 2025-12-04T09:55:45.4172593Z Entering 'third_party/gloo' 2025-12-04T09:55:45.4216103Z http.https://github.com/.extraheader 2025-12-04T09:55:45.4254533Z Entering 'third_party/googletest' 2025-12-04T09:55:45.4296852Z http.https://github.com/.extraheader 2025-12-04T09:55:45.4334985Z Entering 'third_party/ideep' 2025-12-04T09:55:45.4377109Z http.https://github.com/.extraheader 2025-12-04T09:55:45.4417856Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T09:55:45.4458350Z http.https://github.com/.extraheader 2025-12-04T09:55:45.4509915Z Entering 'third_party/ittapi' 2025-12-04T09:55:45.4552080Z http.https://github.com/.extraheader 2025-12-04T09:55:45.4594850Z Entering 'third_party/kineto' 2025-12-04T09:55:45.4637073Z http.https://github.com/.extraheader 2025-12-04T09:55:45.4678140Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:55:45.4719960Z http.https://github.com/.extraheader 2025-12-04T09:55:45.4759668Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:55:45.4807958Z http.https://github.com/.extraheader 2025-12-04T09:55:45.4851446Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:55:45.4897417Z http.https://github.com/.extraheader 2025-12-04T09:55:45.4940550Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:55:45.4982334Z http.https://github.com/.extraheader 2025-12-04T09:55:45.5023963Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:55:45.5066255Z http.https://github.com/.extraheader 2025-12-04T09:55:45.5107500Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:55:45.5148426Z http.https://github.com/.extraheader 2025-12-04T09:55:45.5192811Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:55:45.5234586Z http.https://github.com/.extraheader 2025-12-04T09:55:45.5274178Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:55:45.5317719Z http.https://github.com/.extraheader 2025-12-04T09:55:45.5360089Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:55:45.5410963Z http.https://github.com/.extraheader 2025-12-04T09:55:45.5453498Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:55:45.5496281Z http.https://github.com/.extraheader 2025-12-04T09:55:45.5536003Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:55:45.5577837Z http.https://github.com/.extraheader 2025-12-04T09:55:45.5623731Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:55:45.5667886Z http.https://github.com/.extraheader 2025-12-04T09:55:45.5714610Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:55:45.5757096Z http.https://github.com/.extraheader 2025-12-04T09:55:45.5805263Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:55:45.5847816Z http.https://github.com/.extraheader 2025-12-04T09:55:45.5892022Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:55:45.5937873Z http.https://github.com/.extraheader 2025-12-04T09:55:45.5981978Z Entering 'third_party/kleidiai' 2025-12-04T09:55:45.6026396Z http.https://github.com/.extraheader 2025-12-04T09:55:45.6071974Z Entering 'third_party/mimalloc' 2025-12-04T09:55:45.6121905Z http.https://github.com/.extraheader 2025-12-04T09:55:45.6162179Z Entering 'third_party/nlohmann' 2025-12-04T09:55:45.6202449Z http.https://github.com/.extraheader 2025-12-04T09:55:45.6243770Z Entering 'third_party/onnx' 2025-12-04T09:55:45.6286348Z http.https://github.com/.extraheader 2025-12-04T09:55:45.6340004Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:55:45.6381961Z http.https://github.com/.extraheader 2025-12-04T09:55:45.6426510Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:55:45.6468421Z http.https://github.com/.extraheader 2025-12-04T09:55:45.6512278Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:55:45.6553035Z http.https://github.com/.extraheader 2025-12-04T09:55:45.6592511Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:55:45.6640003Z http.https://github.com/.extraheader 2025-12-04T09:55:45.6684798Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:55:45.6727470Z http.https://github.com/.extraheader 2025-12-04T09:55:45.6768377Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:55:45.6809336Z http.https://github.com/.extraheader 2025-12-04T09:55:45.6851658Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:55:45.6897082Z http.https://github.com/.extraheader 2025-12-04T09:55:45.6936115Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:55:45.6977422Z http.https://github.com/.extraheader 2025-12-04T09:55:45.7022089Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:55:45.7063007Z http.https://github.com/.extraheader 2025-12-04T09:55:45.7101185Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:55:45.7143098Z http.https://github.com/.extraheader 2025-12-04T09:55:45.7184652Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:55:45.7226951Z http.https://github.com/.extraheader 2025-12-04T09:55:45.7276424Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:55:45.7318465Z http.https://github.com/.extraheader 2025-12-04T09:55:45.7378850Z Entering 'third_party/pocketfft' 2025-12-04T09:55:45.7420050Z http.https://github.com/.extraheader 2025-12-04T09:55:45.7460426Z Entering 'third_party/protobuf' 2025-12-04T09:55:45.7502333Z http.https://github.com/.extraheader 2025-12-04T09:55:45.7544652Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:55:45.7586472Z http.https://github.com/.extraheader 2025-12-04T09:55:45.7625148Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:55:45.7667168Z http.https://github.com/.extraheader 2025-12-04T09:55:45.7710330Z Entering 'third_party/psimd' 2025-12-04T09:55:45.7752982Z http.https://github.com/.extraheader 2025-12-04T09:55:45.7791928Z Entering 'third_party/pthreadpool' 2025-12-04T09:55:45.7833657Z http.https://github.com/.extraheader 2025-12-04T09:55:45.7872781Z Entering 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