2025-12-04T09:36:46.2386777Z Current runner version: '2.330.0' 2025-12-04T09:36:46.2393976Z Runner name: 'i-076282dc4c60ba1f3' 2025-12-04T09:36:46.2394897Z Runner group name: 'default' 2025-12-04T09:36:46.2395917Z Machine name: 'ip-10-0-44-244' 2025-12-04T09:36:46.2399107Z ##[group]GITHUB_TOKEN Permissions 2025-12-04T09:36:46.2401702Z Contents: read 2025-12-04T09:36:46.2402413Z Metadata: read 2025-12-04T09:36:46.2403111Z ##[endgroup] 2025-12-04T09:36:46.2405677Z Secret source: Actions 2025-12-04T09:36:46.2406601Z Prepare workflow directory 2025-12-04T09:36:46.3002039Z Prepare all required actions 2025-12-04T09:36:46.3048693Z Getting action download info 2025-12-04T09:36:46.7189234Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd) 2025-12-04T09:36:48.9867506Z Download action repository 'pytorch/pytorch@main' (SHA:7716da9fb23f27a65b41f9f016a2afadf281c18f) 2025-12-04T09:37:03.9533301Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-12-04T09:37:04.2943862Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-12-04T09:37:04.5831871Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-12-04T09:37:04.8680586Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T09:37:05.1688513Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T09:37:05.4957354Z Getting action download info 2025-12-04T09:37:05.6593057Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5) 2025-12-04T09:37:05.9515537Z Getting action download info 2025-12-04T09:37:06.0962763Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-12-04T09:37:06.3306813Z Getting action download info 2025-12-04T09:37:06.4504737Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-12-04T09:37:06.6556529Z Getting action download info 2025-12-04T09:37:06.8192819Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T09:37:06.8197725Z ##[group] Inputs 2025-12-04T09:37:06.8198169Z build-environment: linux-jammy-cuda12.4-py3.10-gcc11 2025-12-04T09:37:06.8205579Z test-matrix: {"include": [{"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}]} 2025-12-04T09:37:06.8213666Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:37:06.8214678Z sync-tag: 2025-12-04T09:37:06.8215858Z timeout-minutes: 240 2025-12-04T09:37:06.8216175Z use-gha: 2025-12-04T09:37:06.8216432Z dashboard-tag: 2025-12-04T09:37:06.8216706Z s3-bucket: gha-artifacts 2025-12-04T09:37:06.8217020Z aws-role-to-assume: 2025-12-04T09:37:06.8217728Z disable-monitor: false 2025-12-04T09:37:06.8218076Z monitor-log-interval: 5 2025-12-04T09:37:06.8218447Z monitor-data-collect-interval: 1 2025-12-04T09:37:06.8218837Z ##[endgroup] 2025-12-04T09:37:06.8219612Z Complete job name: linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 4, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T09:37:06.8847544Z A job started hook has been configured by the self-hosted runner administrator 2025-12-04T09:37:06.8962048Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-12-04T09:37:06.8972998Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:37:06.8973777Z ##[endgroup] 2025-12-04T09:37:08.2992422Z Runner Type: linux.g4dn.4xlarge.nvidia.gpu 2025-12-04T09:37:08.2993047Z Instance Type: g4dn.4xlarge 2025-12-04T09:37:08.2993374Z AMI Name: unknown 2025-12-04T09:37:08.3036140Z AMI ID: ami-08982f1c5bf93d976 2025-12-04T09:37:14.2811657Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-12-04T09:37:14.2812171Z with: 2025-12-04T09:37:14.2812813Z github-secret: *** 2025-12-04T09:37:14.2813677Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-12-04T09:37:14.2814610Z activate-with-label: false 2025-12-04T09:37:14.2814924Z label: with-ssh 2025-12-04T09:37:14.2815211Z remove-existing-keys: true 2025-12-04T09:37:14.2815538Z fail-silently: true 2025-12-04T09:37:14.2815805Z env: 2025-12-04T09:37:14.2816049Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:37:14.2816357Z ##[endgroup] 2025-12-04T09:37:14.4565499Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-12-04T09:37:14.4567600Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-12-04T09:37:14.4935619Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-12-04T09:37:14.4936148Z with: 2025-12-04T09:37:14.4936402Z no-sudo: true 2025-12-04T09:37:14.4936678Z submodules: recursive 2025-12-04T09:37:14.4936968Z fetch-depth: 0 2025-12-04T09:37:14.4937255Z env: 2025-12-04T09:37:14.4937502Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:37:14.4937804Z ##[endgroup] 2025-12-04T09:37:14.5019607Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:37:14.5020731Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:37:14.5032417Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:37:14.5032873Z env: 2025-12-04T09:37:14.5033149Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:37:14.5033504Z ##[endgroup] 2025-12-04T09:37:14.5127102Z ##[group]Run # Use all available CPUs for fetching 2025-12-04T09:37:14.5127611Z # Use all available CPUs for fetching 2025-12-04T09:37:14.5128019Z cd "${GITHUB_WORKSPACE}" 2025-12-04T09:37:14.5128405Z git config --global fetch.parallel 0 2025-12-04T09:37:14.5129033Z git config --global submodule.fetchJobs 0 2025-12-04T09:37:14.5129439Z  2025-12-04T09:37:14.5129846Z # Clean workspace. The default checkout action should also do this, but 2025-12-04T09:37:14.5130407Z # do it here as well just in case 2025-12-04T09:37:14.5131023Z if [[ -d .git ]]; then 2025-12-04T09:37:14.5131356Z  if [ -z "${NO_SUDO}" ]; then 2025-12-04T09:37:14.5131725Z  sudo git clean -ffdx 2025-12-04T09:37:14.5132056Z  else 2025-12-04T09:37:14.5132331Z  git clean -ffdx 2025-12-04T09:37:14.5132626Z  fi 2025-12-04T09:37:14.5132874Z fi 2025-12-04T09:37:14.5139303Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:37:14.5139745Z env: 2025-12-04T09:37:14.5140081Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:37:14.5140412Z NO_SUDO: true 2025-12-04T09:37:14.5140660Z ##[endgroup] 2025-12-04T09:37:14.5268796Z ##[group]Run actions/checkout@v4 2025-12-04T09:37:14.5269153Z with: 2025-12-04T09:37:14.5269449Z ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:37:14.5269831Z fetch-depth: 0 2025-12-04T09:37:14.5270108Z submodules: recursive 2025-12-04T09:37:14.5270446Z show-progress: false 2025-12-04T09:37:14.5270852Z repository: pytorch/pytorch 2025-12-04T09:37:14.5271338Z token: *** 2025-12-04T09:37:14.5271598Z ssh-strict: true 2025-12-04T09:37:14.5271872Z ssh-user: git 2025-12-04T09:37:14.5272142Z persist-credentials: true 2025-12-04T09:37:14.5272455Z clean: true 2025-12-04T09:37:14.5272857Z sparse-checkout-cone-mode: true 2025-12-04T09:37:14.5273198Z fetch-tags: false 2025-12-04T09:37:14.5273468Z lfs: false 2025-12-04T09:37:14.5273734Z set-safe-directory: true 2025-12-04T09:37:14.5274032Z env: 2025-12-04T09:37:14.5274272Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:37:14.5274570Z ##[endgroup] 2025-12-04T09:37:14.6522121Z Syncing repository: pytorch/pytorch 2025-12-04T09:37:14.6523621Z ##[group]Getting Git version info 2025-12-04T09:37:14.6524233Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T09:37:14.6525009Z [command]/usr/bin/git version 2025-12-04T09:37:14.6701384Z git version 2.50.1 2025-12-04T09:37:14.6749285Z ##[endgroup] 2025-12-04T09:37:14.6759915Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/353fd7c1-630a-4a63-856f-8c8095da1705/.gitconfig' 2025-12-04T09:37:14.6779023Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/353fd7c1-630a-4a63-856f-8c8095da1705' before making global git config changes 2025-12-04T09:37:14.6780211Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T09:37:14.6784677Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:37:14.6833378Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T09:37:14.6836867Z ##[group]Initializing the repository 2025-12-04T09:37:14.6849835Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:37:14.6915839Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-12-04T09:37:14.6916545Z hint: is subject to change. To configure the initial branch name to use in all 2025-12-04T09:37:14.6917213Z hint: of your new repositories, which will suppress this warning, call: 2025-12-04T09:37:14.6917712Z hint: 2025-12-04T09:37:14.6918046Z hint: git config --global init.defaultBranch 2025-12-04T09:37:14.6918464Z hint: 2025-12-04T09:37:14.6918858Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-12-04T09:37:14.6919534Z hint: 'development'. The just-created branch can be renamed via this command: 2025-12-04T09:37:14.6920065Z hint: 2025-12-04T09:37:14.6920326Z hint: git branch -m 2025-12-04T09:37:14.6920635Z hint: 2025-12-04T09:37:14.6921065Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-12-04T09:37:14.6924623Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-12-04T09:37:14.6934139Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-12-04T09:37:14.6971708Z ##[endgroup] 2025-12-04T09:37:14.6972219Z ##[group]Disabling automatic garbage collection 2025-12-04T09:37:14.6975848Z [command]/usr/bin/git config --local gc.auto 0 2025-12-04T09:37:14.7006505Z ##[endgroup] 2025-12-04T09:37:14.7006974Z ##[group]Setting up auth 2025-12-04T09:37:14.7012913Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T09:37:14.7042308Z [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' || :" 2025-12-04T09:37:14.7379597Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T09:37:14.7407560Z [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' || :" 2025-12-04T09:37:14.7716110Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir: 2025-12-04T09:37:14.7751403Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url 2025-12-04T09:37:14.8101616Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T09:37:14.8144835Z ##[endgroup] 2025-12-04T09:37:14.8153177Z ##[group]Fetching the repository 2025-12-04T09:37:14.8154125Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-12-04T09:38:09.4119867Z From https://github.com/pytorch/pytorch 2025-12-04T09:38:09.4120443Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-12-04T09:38:09.4121757Z * [new branch] 2.9.1 -> origin/2.9.1 2025-12-04T09:38:09.4122617Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-12-04T09:38:09.4123394Z * [new branch] Flamefire-patch-1 -> origin/Flamefire-patch-1 2025-12-04T09:38:09.4124273Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-12-04T09:38:09.4124970Z * [new branch] HOPrintFunc -> origin/HOPrintFunc 2025-12-04T09:38:09.4126403Z * [new branch] IvanKobzarev/stack/1 -> origin/IvanKobzarev/stack/1 2025-12-04T09:38:09.4128755Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-12-04T09:38:09.4129783Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-12-04T09:38:09.4131697Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-12-04T09:38:09.4132775Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-12-04T09:38:09.4133989Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-12-04T09:38:09.4135303Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-12-04T09:38:09.4136672Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-12-04T09:38:09.4137958Z * [new branch] VLA_exp -> origin/VLA_exp 2025-12-04T09:38:09.4139586Z * [new branch] activation_bench -> origin/activation_bench 2025-12-04T09:38:09.4140735Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-12-04T09:38:09.4142787Z * [new branch] adi/onednn_aarch64 -> origin/adi/onednn_aarch64 2025-12-04T09:38:09.4144023Z * [new branch] adi/test -> origin/adi/test 2025-12-04T09:38:09.4145342Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-12-04T09:38:09.4146625Z * [new branch] adi/test_m8g -> origin/adi/test_m8g 2025-12-04T09:38:09.4148122Z * [new branch] adi/test_onednn -> origin/adi/test_onednn 2025-12-04T09:38:09.4149363Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-12-04T09:38:09.4150717Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-12-04T09:38:09.4151918Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-12-04T09:38:09.4153797Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-12-04T09:38:09.4156220Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-12-04T09:38:09.4157561Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-12-04T09:38:09.4159111Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-12-04T09:38:09.4160232Z * [new branch] also-surround-shimh -> origin/also-surround-shimh 2025-12-04T09:38:09.4162270Z * [new branch] angelayi/aot_compile -> origin/angelayi/aot_compile 2025-12-04T09:38:09.4163530Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-12-04T09:38:09.4164705Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-12-04T09:38:09.4166155Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-12-04T09:38:09.4167241Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-12-04T09:38:09.4168609Z * [new branch] angelayi/inductor_const -> origin/angelayi/inductor_const 2025-12-04T09:38:09.4169763Z * [new branch] angelayi/lstm -> origin/angelayi/lstm 2025-12-04T09:38:09.4171644Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-12-04T09:38:09.4173354Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-12-04T09:38:09.4174636Z * [new branch] angelayi/side_eff -> origin/angelayi/side_eff 2025-12-04T09:38:09.4175962Z * [new branch] angelayi/state_dict -> origin/angelayi/state_dict 2025-12-04T09:38:09.4177307Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-12-04T09:38:09.4178853Z * [new branch] angelayi/symm_mem -> origin/angelayi/symm_mem 2025-12-04T09:38:09.4179935Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-12-04T09:38:09.4181356Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-12-04T09:38:09.4182670Z * [new branch] annotate_assert -> origin/annotate_assert 2025-12-04T09:38:09.4184060Z * [new branch] annotate_fallback_kernel -> origin/annotate_fallback_kernel 2025-12-04T09:38:09.4185371Z * [new branch] annotation_deepcopy -> origin/annotation_deepcopy 2025-12-04T09:38:09.4186664Z * [new branch] annotation_dynamo -> origin/annotation_dynamo 2025-12-04T09:38:09.4188038Z * [new branch] aot_eager_stack_trace -> origin/aot_eager_stack_trace 2025-12-04T09:38:09.4189311Z * [new 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2025-12-04T09:38:10.1146734Z * [new branch] zainr/canary-test -> origin/zainr/canary-test 2025-12-04T09:38:10.1148154Z * [new branch] zainr/cleanup-gh-runners -> origin/zainr/cleanup-gh-runners 2025-12-04T09:38:10.1149318Z * [new branch] zainr/pull-migration-c -> origin/zainr/pull-migration-c 2025-12-04T09:38:10.1150505Z * [new branch] zainr/test2 -> origin/zainr/test2 2025-12-04T09:38:10.1152056Z * [new branch] zasdfgbnm-patch-3 -> origin/zasdfgbnm-patch-3 2025-12-04T09:38:10.1153303Z * [new branch] zb2p -> origin/zb2p 2025-12-04T09:38:10.1154722Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-12-04T09:38:10.1156731Z * [new branch] zhxchen17/ci/vllm_lora_oom -> origin/zhxchen17/ci/vllm_lora_oom 2025-12-04T09:38:10.1158096Z * [new branch] zhxchen17/ci/vllm_multimodal_oom -> origin/zhxchen17/ci/vllm_multimodal_oom 2025-12-04T09:38:10.1159225Z * [new branch] zhxchen17/ci/vllm_pin -> origin/zhxchen17/ci/vllm_pin 2025-12-04T09:38:10.1161659Z * [new branch] zhxchen17/dynamo/unsafe_drop_all_guards -> origin/zhxchen17/dynamo/unsafe_drop_all_guards 2025-12-04T09:38:10.1163234Z * [new branch] zhxchen17/export/call_override -> origin/zhxchen17/export/call_override 2025-12-04T09:38:10.1164426Z * [new branch] zhxchen17/export/codemod1 -> origin/zhxchen17/export/codemod1 2025-12-04T09:38:10.1165747Z * [new branch] zhxchen17/export/ctx_return -> origin/zhxchen17/export/ctx_return 2025-12-04T09:38:10.1167145Z * [new branch] zhxchen17/export/disable_side_effect_warn -> origin/zhxchen17/export/disable_side_effect_warn 2025-12-04T09:38:10.1168207Z * [new branch] zhxchen17/export/pytree_check -> origin/zhxchen17/export/pytree_check 2025-12-04T09:38:10.1169921Z * [new branch] zhxchen17/precompile/aoti -> origin/zhxchen17/precompile/aoti 2025-12-04T09:38:10.1171317Z * [new branch] zhxchen17/precompile/globals -> origin/zhxchen17/precompile/globals 2025-12-04T09:38:10.1172587Z * [new branch] zhxchen17/precompile/inductor_guards -> origin/zhxchen17/precompile/inductor_guards 2025-12-04T09:38:10.1174048Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-12-04T09:38:10.1175485Z * [new branch] zhxchen17/torch_export_api_update -> origin/zhxchen17/torch_export_api_update 2025-12-04T09:38:10.1177700Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-12-04T09:38:10.1179572Z * [new branch] zxiiro/build-times -> origin/zxiiro/build-times 2025-12-04T09:38:10.1180906Z * [new branch] zxiiro/c7i.2xlarge -> origin/zxiiro/c7i.2xlarge 2025-12-04T09:38:10.1182334Z * [new branch] zxiiro/c7i.2xlarge.h100 -> origin/zxiiro/c7i.2xlarge.h100 2025-12-04T09:38:10.1183622Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-12-04T09:38:10.1184882Z * [new branch] zxiiro/risc64 -> origin/zxiiro/risc64 2025-12-04T09:38:10.1186387Z * [new branch] zxiiro/test-multicloud-arc -> origin/zxiiro/test-multicloud-arc 2025-12-04T09:38:10.1187621Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-12-04T09:38:10.1188650Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-12-04T09:38:10.1189702Z * [new tag] ciflow/b200/115316 -> ciflow/b200/115316 2025-12-04T09:38:10.1190437Z * [new tag] ciflow/b200/160685 -> ciflow/b200/160685 2025-12-04T09:38:10.1191229Z * [new tag] ciflow/b200/161607 -> ciflow/b200/161607 2025-12-04T09:38:10.1192034Z * [new tag] ciflow/b200/161938 -> ciflow/b200/161938 2025-12-04T09:38:10.1193137Z * [new tag] ciflow/b200/167207 -> ciflow/b200/167207 2025-12-04T09:38:10.1193835Z * [new tag] ciflow/b200/167989 -> ciflow/b200/167989 2025-12-04T09:38:10.1194933Z * [new tag] ciflow/b200/168096 -> ciflow/b200/168096 2025-12-04T09:38:10.1195907Z * [new tag] ciflow/b200/168175 -> ciflow/b200/168175 2025-12-04T09:38:10.1196697Z * [new tag] ciflow/b200/168195 -> ciflow/b200/168195 2025-12-04T09:38:10.1197720Z * [new tag] ciflow/b200/169200 -> ciflow/b200/169200 2025-12-04T09:38:10.1198531Z * [new tag] ciflow/b200/169216 -> ciflow/b200/169216 2025-12-04T09:38:10.1199880Z * [new tag] ciflow/b200/169380 -> ciflow/b200/169380 2025-12-04T09:38:10.1201271Z * [new tag] ciflow/b200/169412 -> ciflow/b200/169412 2025-12-04T09:38:10.1202318Z * [new tag] ciflow/b200/169470 -> ciflow/b200/169470 2025-12-04T09:38:10.1203085Z * [new tag] ciflow/b200/169471 -> ciflow/b200/169471 2025-12-04T09:38:10.1203970Z * [new tag] ciflow/b200/169472 -> ciflow/b200/169472 2025-12-04T09:38:10.1205120Z * [new tag] ciflow/b200/169514 -> ciflow/b200/169514 2025-12-04T09:38:10.1206221Z * [new tag] ciflow/b200/169517 -> ciflow/b200/169517 2025-12-04T09:38:10.1207442Z * [new tag] ciflow/binaries/165922 -> ciflow/binaries/165922 2025-12-04T09:38:10.1208158Z * [new tag] ciflow/binaries/169510 -> ciflow/binaries/169510 2025-12-04T09:38:10.1209433Z * [new tag] ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994 2025-12-04T09:38:10.1210218Z * [new tag] ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829 2025-12-04T09:38:10.1211034Z * [new tag] ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972 2025-12-04T09:38:10.1212144Z * [new tag] ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981 2025-12-04T09:38:10.1212990Z * [new tag] ciflow/dynamo/167695 -> ciflow/dynamo/167695 2025-12-04T09:38:10.1213831Z * [new tag] ciflow/dynamo/168096 -> ciflow/dynamo/168096 2025-12-04T09:38:10.1214935Z * [new tag] ciflow/dynamo/169525 -> ciflow/dynamo/169525 2025-12-04T09:38:10.1216063Z * [new tag] ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938 2025-12-04T09:38:10.1216734Z * [new tag] ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940 2025-12-04T09:38:10.1217912Z * [new tag] ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923 2025-12-04T09:38:10.1218732Z * [new tag] ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552 2025-12-04T09:38:10.1219537Z * [new tag] ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129 2025-12-04T09:38:10.1220353Z * [new tag] ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917 2025-12-04T09:38:10.1221730Z * [new tag] ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156 2025-12-04T09:38:10.1222519Z * [new tag] ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200 2025-12-04T09:38:10.1223333Z * [new tag] ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216 2025-12-04T09:38:10.1224141Z * [new tag] ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338 2025-12-04T09:38:10.1225211Z * [new tag] ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355 2025-12-04T09:38:10.1226035Z * [new tag] ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543 2025-12-04T09:38:10.1227022Z * [new tag] ciflow/h100/115316 -> ciflow/h100/115316 2025-12-04T09:38:10.1227727Z * [new tag] ciflow/h100/160685 -> ciflow/h100/160685 2025-12-04T09:38:10.1228546Z * [new tag] ciflow/h100/160729 -> ciflow/h100/160729 2025-12-04T09:38:10.1229412Z * [new tag] ciflow/h100/161607 -> ciflow/h100/161607 2025-12-04T09:38:10.1230205Z * [new tag] ciflow/h100/161938 -> ciflow/h100/161938 2025-12-04T09:38:10.1231424Z * [new tag] ciflow/h100/167207 -> ciflow/h100/167207 2025-12-04T09:38:10.1231998Z * [new tag] ciflow/h100/167989 -> ciflow/h100/167989 2025-12-04T09:38:10.1232985Z * [new tag] ciflow/h100/168096 -> ciflow/h100/168096 2025-12-04T09:38:10.1233948Z * [new tag] ciflow/h100/168175 -> ciflow/h100/168175 2025-12-04T09:38:10.1234448Z * [new tag] ciflow/h100/168195 -> ciflow/h100/168195 2025-12-04T09:38:10.1235234Z * [new tag] ciflow/h100/168980 -> ciflow/h100/168980 2025-12-04T09:38:10.1236436Z * [new tag] ciflow/h100/169200 -> ciflow/h100/169200 2025-12-04T09:38:10.1237517Z * [new tag] ciflow/h100/169216 -> ciflow/h100/169216 2025-12-04T09:38:10.1238515Z * [new tag] ciflow/h100/169380 -> ciflow/h100/169380 2025-12-04T09:38:10.1239299Z * [new tag] ciflow/h100/169412 -> ciflow/h100/169412 2025-12-04T09:38:10.1240140Z * [new tag] ciflow/h100/169470 -> ciflow/h100/169470 2025-12-04T09:38:10.1240971Z * [new tag] ciflow/h100/169471 -> ciflow/h100/169471 2025-12-04T09:38:10.1241861Z * [new tag] ciflow/h100/169472 -> ciflow/h100/169472 2025-12-04T09:38:10.1242691Z * [new tag] ciflow/h100/169514 -> ciflow/h100/169514 2025-12-04T09:38:10.1243880Z * [new tag] ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096 2025-12-04T09:38:10.1245230Z * [new tag] ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096 2025-12-04T09:38:10.1246049Z * [new tag] ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165 2025-12-04T09:38:10.1246929Z * [new tag] ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096 2025-12-04T09:38:10.1247907Z * [new tag] ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096 2025-12-04T09:38:10.1249503Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073 2025-12-04T09:38:10.1250337Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096 2025-12-04T09:38:10.1251309Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024 2025-12-04T09:38:10.1252318Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024 2025-12-04T09:38:10.1253206Z * [new tag] ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096 2025-12-04T09:38:10.1254161Z * [new tag] ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096 2025-12-04T09:38:10.1254999Z * [new tag] ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024 2025-12-04T09:38:10.1255966Z * [new tag] ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425 2025-12-04T09:38:10.1257194Z * [new tag] ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545 2025-12-04T09:38:10.1258054Z * [new tag] ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997 2025-12-04T09:38:10.1258885Z * [new tag] ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096 2025-12-04T09:38:10.1259805Z * [new tag] ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063 2025-12-04T09:38:10.1260621Z * [new tag] ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425 2025-12-04T09:38:10.1261953Z * [new tag] ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545 2025-12-04T09:38:10.1263180Z * [new tag] ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096 2025-12-04T09:38:10.1263888Z * [new tag] ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063 2025-12-04T09:38:10.1264704Z * [new tag] ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425 2025-12-04T09:38:10.1265921Z * [new tag] ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052 2025-12-04T09:38:10.1266657Z * [new tag] ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971 2025-12-04T09:38:10.1267780Z * [new tag] ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096 2025-12-04T09:38:10.1268570Z * [new tag] ciflow/inductor/144542 -> ciflow/inductor/144542 2025-12-04T09:38:10.1269426Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-12-04T09:38:10.1270244Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-12-04T09:38:10.1271271Z * [new tag] ciflow/inductor/148294 -> ciflow/inductor/148294 2025-12-04T09:38:10.1271961Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-12-04T09:38:10.1272880Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-12-04T09:38:10.1273729Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-12-04T09:38:10.1274515Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-12-04T09:38:10.1275326Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-12-04T09:38:10.1276117Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-12-04T09:38:10.1276922Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-12-04T09:38:10.1278160Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-12-04T09:38:10.1279356Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-12-04T09:38:10.1280384Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-12-04T09:38:10.1281128Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-12-04T09:38:10.1281996Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-12-04T09:38:10.1282861Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-12-04T09:38:10.1283724Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-12-04T09:38:10.1284589Z * [new tag] ciflow/inductor/162795 -> ciflow/inductor/162795 2025-12-04T09:38:10.1285793Z * [new tag] ciflow/inductor/163245 -> ciflow/inductor/163245 2025-12-04T09:38:10.1286562Z * [new tag] ciflow/inductor/163335 -> ciflow/inductor/163335 2025-12-04T09:38:10.1287402Z * [new tag] ciflow/inductor/163503 -> ciflow/inductor/163503 2025-12-04T09:38:10.1288254Z * [new tag] ciflow/inductor/163942 -> ciflow/inductor/163942 2025-12-04T09:38:10.1289409Z * [new tag] ciflow/inductor/165270 -> ciflow/inductor/165270 2025-12-04T09:38:10.1290150Z * [new tag] ciflow/inductor/165274 -> ciflow/inductor/165274 2025-12-04T09:38:10.1291019Z * [new tag] ciflow/inductor/165322 -> ciflow/inductor/165322 2025-12-04T09:38:10.1291876Z * [new tag] ciflow/inductor/165597 -> ciflow/inductor/165597 2025-12-04T09:38:10.1292743Z * [new tag] ciflow/inductor/166063 -> ciflow/inductor/166063 2025-12-04T09:38:10.1293621Z * [new tag] ciflow/inductor/166075 -> ciflow/inductor/166075 2025-12-04T09:38:10.1294545Z * [new tag] ciflow/inductor/166165 -> ciflow/inductor/166165 2025-12-04T09:38:10.1295687Z * [new tag] ciflow/inductor/166254 -> ciflow/inductor/166254 2025-12-04T09:38:10.1296408Z * [new tag] ciflow/inductor/166483 -> ciflow/inductor/166483 2025-12-04T09:38:10.1297282Z * [new tag] ciflow/inductor/166494 -> ciflow/inductor/166494 2025-12-04T09:38:10.1298091Z * [new tag] ciflow/inductor/166545 -> ciflow/inductor/166545 2025-12-04T09:38:10.1298961Z * [new tag] ciflow/inductor/166788 -> ciflow/inductor/166788 2025-12-04T09:38:10.1300142Z * [new tag] ciflow/inductor/166846 -> ciflow/inductor/166846 2025-12-04T09:38:10.1300940Z * [new tag] ciflow/inductor/167300 -> ciflow/inductor/167300 2025-12-04T09:38:10.1302144Z * [new tag] ciflow/inductor/167407 -> ciflow/inductor/167407 2025-12-04T09:38:10.1302996Z * [new tag] ciflow/inductor/167536 -> ciflow/inductor/167536 2025-12-04T09:38:10.1303859Z * [new tag] ciflow/inductor/167552 -> ciflow/inductor/167552 2025-12-04T09:38:10.1304697Z * [new tag] ciflow/inductor/167555 -> ciflow/inductor/167555 2025-12-04T09:38:10.1305834Z * [new tag] ciflow/inductor/167583 -> ciflow/inductor/167583 2025-12-04T09:38:10.1306563Z * [new tag] ciflow/inductor/167599 -> ciflow/inductor/167599 2025-12-04T09:38:10.1307420Z * [new tag] ciflow/inductor/167647 -> ciflow/inductor/167647 2025-12-04T09:38:10.1308281Z * [new tag] ciflow/inductor/167677 -> ciflow/inductor/167677 2025-12-04T09:38:10.1309141Z * [new tag] ciflow/inductor/167680 -> ciflow/inductor/167680 2025-12-04T09:38:10.1309970Z * [new tag] ciflow/inductor/167695 -> ciflow/inductor/167695 2025-12-04T09:38:10.1310805Z * [new tag] ciflow/inductor/167742 -> ciflow/inductor/167742 2025-12-04T09:38:10.1311676Z * [new tag] ciflow/inductor/167768 -> ciflow/inductor/167768 2025-12-04T09:38:10.1312944Z * [new tag] ciflow/inductor/167773 -> ciflow/inductor/167773 2025-12-04T09:38:10.1314575Z * [new tag] ciflow/inductor/167781 -> ciflow/inductor/167781 2025-12-04T09:38:10.1315350Z * [new tag] ciflow/inductor/167880 -> ciflow/inductor/167880 2025-12-04T09:38:10.1316204Z * [new tag] ciflow/inductor/167887 -> ciflow/inductor/167887 2025-12-04T09:38:10.1317091Z * [new tag] ciflow/inductor/167972 -> ciflow/inductor/167972 2025-12-04T09:38:10.1317898Z * [new tag] ciflow/inductor/167989 -> ciflow/inductor/167989 2025-12-04T09:38:10.1318759Z * [new tag] ciflow/inductor/168002 -> ciflow/inductor/168002 2025-12-04T09:38:10.1319611Z * [new tag] ciflow/inductor/168050 -> ciflow/inductor/168050 2025-12-04T09:38:10.1320478Z * [new tag] ciflow/inductor/168051 -> ciflow/inductor/168051 2025-12-04T09:38:10.1321338Z * [new tag] ciflow/inductor/168052 -> ciflow/inductor/168052 2025-12-04T09:38:10.1322181Z * [new tag] ciflow/inductor/168073 -> ciflow/inductor/168073 2025-12-04T09:38:10.1323052Z * [new tag] ciflow/inductor/168096 -> ciflow/inductor/168096 2025-12-04T09:38:10.1323915Z * [new tag] ciflow/inductor/168114 -> ciflow/inductor/168114 2025-12-04T09:38:10.1324745Z * [new tag] ciflow/inductor/168115 -> ciflow/inductor/168115 2025-12-04T09:38:10.1325638Z * [new tag] ciflow/inductor/168127 -> ciflow/inductor/168127 2025-12-04T09:38:10.1326450Z * [new tag] ciflow/inductor/168129 -> ciflow/inductor/168129 2025-12-04T09:38:10.1327345Z * [new tag] ciflow/inductor/168157 -> ciflow/inductor/168157 2025-12-04T09:38:10.1328262Z * [new tag] ciflow/inductor/168175 -> ciflow/inductor/168175 2025-12-04T09:38:10.1329067Z * [new tag] ciflow/inductor/168185 -> ciflow/inductor/168185 2025-12-04T09:38:10.1329883Z * [new tag] ciflow/inductor/168195 -> ciflow/inductor/168195 2025-12-04T09:38:10.1331152Z * [new tag] ciflow/inductor/168209 -> ciflow/inductor/168209 2025-12-04T09:38:10.1334627Z * [new tag] ciflow/inductor/168266 -> ciflow/inductor/168266 2025-12-04T09:38:10.1335386Z * [new tag] ciflow/inductor/168316 -> ciflow/inductor/168316 2025-12-04T09:38:10.1336530Z * [new tag] ciflow/inductor/168326 -> ciflow/inductor/168326 2025-12-04T09:38:10.1337273Z * [new tag] ciflow/inductor/168368 -> ciflow/inductor/168368 2025-12-04T09:38:10.1338134Z * [new tag] ciflow/inductor/168894 -> ciflow/inductor/168894 2025-12-04T09:38:10.1338993Z * [new tag] ciflow/inductor/168934 -> ciflow/inductor/168934 2025-12-04T09:38:10.1339842Z * [new tag] ciflow/inductor/168939 -> ciflow/inductor/168939 2025-12-04T09:38:10.1340704Z * [new tag] ciflow/inductor/168946 -> ciflow/inductor/168946 2025-12-04T09:38:10.1341684Z * [new tag] ciflow/inductor/168950 -> ciflow/inductor/168950 2025-12-04T09:38:10.1342547Z * [new tag] ciflow/inductor/168951 -> ciflow/inductor/168951 2025-12-04T09:38:10.1343400Z * [new tag] ciflow/inductor/168952 -> ciflow/inductor/168952 2025-12-04T09:38:10.1344258Z * [new tag] ciflow/inductor/168955 -> ciflow/inductor/168955 2025-12-04T09:38:10.1345098Z * [new tag] ciflow/inductor/168971 -> ciflow/inductor/168971 2025-12-04T09:38:10.1345963Z * [new tag] ciflow/inductor/168979 -> ciflow/inductor/168979 2025-12-04T09:38:10.1346834Z * [new tag] ciflow/inductor/168980 -> ciflow/inductor/168980 2025-12-04T09:38:10.1347974Z * [new tag] ciflow/inductor/168983 -> ciflow/inductor/168983 2025-12-04T09:38:10.1348721Z * [new tag] ciflow/inductor/169006 -> ciflow/inductor/169006 2025-12-04T09:38:10.1349698Z * [new tag] ciflow/inductor/169023 -> ciflow/inductor/169023 2025-12-04T09:38:10.1350475Z * [new tag] ciflow/inductor/169024 -> ciflow/inductor/169024 2025-12-04T09:38:10.1351326Z * [new tag] ciflow/inductor/169025 -> ciflow/inductor/169025 2025-12-04T09:38:10.1352181Z * [new tag] ciflow/inductor/169066 -> ciflow/inductor/169066 2025-12-04T09:38:10.1353214Z * [new tag] ciflow/inductor/169091 -> ciflow/inductor/169091 2025-12-04T09:38:10.1353950Z * [new tag] ciflow/inductor/169102 -> ciflow/inductor/169102 2025-12-04T09:38:10.1354817Z * [new tag] ciflow/inductor/169103 -> ciflow/inductor/169103 2025-12-04T09:38:10.1355679Z * [new tag] ciflow/inductor/169121 -> ciflow/inductor/169121 2025-12-04T09:38:10.1356507Z * [new tag] ciflow/inductor/169134 -> ciflow/inductor/169134 2025-12-04T09:38:10.1357366Z * [new tag] ciflow/inductor/169135 -> ciflow/inductor/169135 2025-12-04T09:38:10.1358205Z * [new tag] ciflow/inductor/169141 -> ciflow/inductor/169141 2025-12-04T09:38:10.1359072Z * [new tag] ciflow/inductor/169151 -> ciflow/inductor/169151 2025-12-04T09:38:10.1360189Z * [new tag] ciflow/inductor/169161 -> ciflow/inductor/169161 2025-12-04T09:38:10.1360962Z * [new tag] ciflow/inductor/169167 -> ciflow/inductor/169167 2025-12-04T09:38:10.1362211Z * [new tag] ciflow/inductor/169177 -> ciflow/inductor/169177 2025-12-04T09:38:10.1363269Z * [new tag] ciflow/inductor/169185 -> ciflow/inductor/169185 2025-12-04T09:38:10.1363989Z * [new tag] ciflow/inductor/169196 -> ciflow/inductor/169196 2025-12-04T09:38:10.1364817Z * [new tag] ciflow/inductor/169200 -> ciflow/inductor/169200 2025-12-04T09:38:10.1365692Z * [new tag] ciflow/inductor/169204 -> ciflow/inductor/169204 2025-12-04T09:38:10.1366547Z * [new tag] ciflow/inductor/169216 -> ciflow/inductor/169216 2025-12-04T09:38:10.1367394Z * [new tag] ciflow/inductor/169219 -> ciflow/inductor/169219 2025-12-04T09:38:10.1368276Z * [new tag] ciflow/inductor/169220 -> ciflow/inductor/169220 2025-12-04T09:38:10.1369371Z * [new tag] ciflow/inductor/169230 -> ciflow/inductor/169230 2025-12-04T09:38:10.1370124Z * [new tag] ciflow/inductor/169242 -> ciflow/inductor/169242 2025-12-04T09:38:10.1370971Z * [new tag] ciflow/inductor/169245 -> ciflow/inductor/169245 2025-12-04T09:38:10.1372104Z * [new tag] ciflow/inductor/169260 -> ciflow/inductor/169260 2025-12-04T09:38:10.1372821Z * [new tag] ciflow/inductor/169282 -> ciflow/inductor/169282 2025-12-04T09:38:10.1374221Z * [new tag] ciflow/inductor/169286 -> ciflow/inductor/169286 2025-12-04T09:38:10.1374986Z * [new tag] ciflow/inductor/169299 -> ciflow/inductor/169299 2025-12-04T09:38:10.1376130Z * [new tag] ciflow/inductor/169304 -> ciflow/inductor/169304 2025-12-04T09:38:10.1377451Z * [new tag] ciflow/inductor/169305 -> ciflow/inductor/169305 2025-12-04T09:38:10.1378194Z * [new tag] ciflow/inductor/169308 -> ciflow/inductor/169308 2025-12-04T09:38:10.1379066Z * [new tag] ciflow/inductor/169319 -> ciflow/inductor/169319 2025-12-04T09:38:10.1379935Z * [new tag] ciflow/inductor/169326 -> ciflow/inductor/169326 2025-12-04T09:38:10.1380816Z * [new tag] ciflow/inductor/169332 -> ciflow/inductor/169332 2025-12-04T09:38:10.1381858Z * [new tag] ciflow/inductor/169333 -> ciflow/inductor/169333 2025-12-04T09:38:10.1382976Z * [new tag] ciflow/inductor/169336 -> ciflow/inductor/169336 2025-12-04T09:38:10.1383782Z * [new tag] ciflow/inductor/169340 -> ciflow/inductor/169340 2025-12-04T09:38:10.1384668Z * [new tag] ciflow/inductor/169341 -> ciflow/inductor/169341 2025-12-04T09:38:10.1385534Z * [new tag] ciflow/inductor/169343 -> ciflow/inductor/169343 2025-12-04T09:38:10.1386373Z * [new tag] ciflow/inductor/169346 -> ciflow/inductor/169346 2025-12-04T09:38:10.1387564Z * [new tag] ciflow/inductor/169348 -> ciflow/inductor/169348 2025-12-04T09:38:10.1388434Z * [new tag] ciflow/inductor/169350 -> ciflow/inductor/169350 2025-12-04T09:38:10.1389287Z * [new tag] ciflow/inductor/169355 -> ciflow/inductor/169355 2025-12-04T09:38:10.1390166Z * [new tag] ciflow/inductor/169370 -> ciflow/inductor/169370 2025-12-04T09:38:10.1391421Z * [new tag] ciflow/inductor/169375 -> ciflow/inductor/169375 2025-12-04T09:38:10.1392436Z * [new tag] ciflow/inductor/169389 -> ciflow/inductor/169389 2025-12-04T09:38:10.1393154Z * [new tag] ciflow/inductor/169391 -> ciflow/inductor/169391 2025-12-04T09:38:10.1394023Z * [new tag] ciflow/inductor/169393 -> ciflow/inductor/169393 2025-12-04T09:38:10.1394879Z * [new tag] ciflow/inductor/169399 -> ciflow/inductor/169399 2025-12-04T09:38:10.1396008Z * [new tag] ciflow/inductor/169400 -> ciflow/inductor/169400 2025-12-04T09:38:10.1396777Z * [new tag] ciflow/inductor/169415 -> ciflow/inductor/169415 2025-12-04T09:38:10.1397732Z * [new tag] ciflow/inductor/169417 -> ciflow/inductor/169417 2025-12-04T09:38:10.1398512Z * [new tag] ciflow/inductor/169418 -> ciflow/inductor/169418 2025-12-04T09:38:10.1399901Z * [new tag] ciflow/inductor/169430 -> ciflow/inductor/169430 2025-12-04T09:38:10.1400658Z * [new tag] ciflow/inductor/169432 -> ciflow/inductor/169432 2025-12-04T09:38:10.1401526Z * [new tag] ciflow/inductor/169436 -> ciflow/inductor/169436 2025-12-04T09:38:10.1402610Z * [new tag] ciflow/inductor/169437 -> ciflow/inductor/169437 2025-12-04T09:38:10.1403384Z * [new tag] ciflow/inductor/169438 -> ciflow/inductor/169438 2025-12-04T09:38:10.1404246Z * [new tag] ciflow/inductor/169441 -> ciflow/inductor/169441 2025-12-04T09:38:10.1405120Z * [new tag] ciflow/inductor/169446 -> ciflow/inductor/169446 2025-12-04T09:38:10.1406305Z * [new tag] ciflow/inductor/169447 -> ciflow/inductor/169447 2025-12-04T09:38:10.1407012Z * [new tag] ciflow/inductor/169452 -> ciflow/inductor/169452 2025-12-04T09:38:10.1408135Z * [new tag] ciflow/inductor/169455 -> ciflow/inductor/169455 2025-12-04T09:38:10.1408889Z * [new tag] ciflow/inductor/169459 -> ciflow/inductor/169459 2025-12-04T09:38:10.1410010Z * [new tag] ciflow/inductor/169463 -> ciflow/inductor/169463 2025-12-04T09:38:10.1410895Z * [new tag] ciflow/inductor/169476 -> ciflow/inductor/169476 2025-12-04T09:38:10.1411765Z * [new tag] ciflow/inductor/169485 -> ciflow/inductor/169485 2025-12-04T09:38:10.1412815Z * [new tag] ciflow/inductor/169493 -> ciflow/inductor/169493 2025-12-04T09:38:10.1413550Z * [new tag] ciflow/inductor/169496 -> ciflow/inductor/169496 2025-12-04T09:38:10.1414407Z * [new tag] ciflow/inductor/169497 -> ciflow/inductor/169497 2025-12-04T09:38:10.1415260Z * [new tag] ciflow/inductor/169503 -> ciflow/inductor/169503 2025-12-04T09:38:10.1416141Z * [new tag] ciflow/inductor/169504 -> ciflow/inductor/169504 2025-12-04T09:38:10.1417371Z * [new tag] ciflow/inductor/169505 -> ciflow/inductor/169505 2025-12-04T09:38:10.1418747Z * [new tag] ciflow/inductor/169508 -> ciflow/inductor/169508 2025-12-04T09:38:10.1419535Z * [new tag] ciflow/inductor/169509 -> ciflow/inductor/169509 2025-12-04T09:38:10.1420505Z * [new tag] ciflow/inductor/169513 -> ciflow/inductor/169513 2025-12-04T09:38:10.1421424Z * [new tag] ciflow/inductor/169514 -> ciflow/inductor/169514 2025-12-04T09:38:10.1422503Z * [new tag] ciflow/inductor/169515 -> ciflow/inductor/169515 2025-12-04T09:38:10.1423283Z * [new tag] ciflow/inductor/169517 -> ciflow/inductor/169517 2025-12-04T09:38:10.1424114Z * [new tag] ciflow/inductor/169519 -> ciflow/inductor/169519 2025-12-04T09:38:10.1425059Z * [new tag] ciflow/inductor/169520 -> ciflow/inductor/169520 2025-12-04T09:38:10.1425901Z * [new tag] ciflow/inductor/169521 -> ciflow/inductor/169521 2025-12-04T09:38:10.1426744Z * [new tag] ciflow/inductor/169524 -> ciflow/inductor/169524 2025-12-04T09:38:10.1427742Z * [new tag] ciflow/inductor/169527 -> ciflow/inductor/169527 2025-12-04T09:38:10.1428485Z * [new tag] ciflow/inductor/169528 -> ciflow/inductor/169528 2025-12-04T09:38:10.1429604Z * [new tag] ciflow/inductor/169532 -> ciflow/inductor/169532 2025-12-04T09:38:10.1430367Z * [new tag] ciflow/inductor/169535 -> ciflow/inductor/169535 2025-12-04T09:38:10.1431556Z * [new tag] ciflow/inductor/169536 -> ciflow/inductor/169536 2025-12-04T09:38:10.1432401Z * [new tag] ciflow/inductor/169547 -> ciflow/inductor/169547 2025-12-04T09:38:10.1433169Z * [new tag] ciflow/inductor/169548 -> ciflow/inductor/169548 2025-12-04T09:38:10.1434575Z * [new tag] ciflow/inductor/169549 -> ciflow/inductor/169549 2025-12-04T09:38:10.1435353Z * [new tag] ciflow/inductor/169551 -> ciflow/inductor/169551 2025-12-04T09:38:10.1436245Z * [new tag] ciflow/inductor/169552 -> ciflow/inductor/169552 2025-12-04T09:38:10.1437075Z * [new tag] ciflow/inductor/169553 -> ciflow/inductor/169553 2025-12-04T09:38:10.1437925Z * [new tag] ciflow/inductor/169557 -> ciflow/inductor/169557 2025-12-04T09:38:10.1439230Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-12-04T09:38:10.1440264Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-12-04T09:38:10.1441325Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-12-04T09:38:10.1442374Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-12-04T09:38:10.1443133Z * [new tag] ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075 2025-12-04T09:38:10.1443996Z * [new tag] ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876 2025-12-04T09:38:10.1444785Z * [new tag] ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981 2025-12-04T09:38:10.1445885Z * [new tag] ciflow/mps/166254 -> ciflow/mps/166254 2025-12-04T09:38:10.1446596Z * [new tag] ciflow/mps/169017 -> ciflow/mps/169017 2025-12-04T09:38:10.1447699Z * [new tag] ciflow/mps/169372 -> ciflow/mps/169372 2025-12-04T09:38:10.1448405Z * [new tag] ciflow/mps/169478 -> ciflow/mps/169478 2025-12-04T09:38:10.1449661Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-12-04T09:38:10.1450415Z * [new tag] ciflow/op-benchmark/166075 -> ciflow/op-benchmark/166075 2025-12-04T09:38:10.1451182Z * [new tag] ciflow/op-benchmark/169544 -> ciflow/op-benchmark/169544 2025-12-04T09:38:10.1452388Z * [new tag] ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997 2025-12-04T09:38:10.1453206Z * [new tag] ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517 2025-12-04T09:38:10.1454040Z * [new tag] ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063 2025-12-04T09:38:10.1454901Z * [new tag] ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425 2025-12-04T09:38:10.1455873Z * [new tag] ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517 2025-12-04T09:38:10.1456698Z * [new tag] ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063 2025-12-04T09:38:10.1457485Z * [new tag] ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425 2025-12-04T09:38:10.1458772Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-12-04T09:38:10.1459474Z * [new tag] ciflow/periodic/167207 -> ciflow/periodic/167207 2025-12-04T09:38:10.1460535Z * [new tag] ciflow/periodic/167978 -> ciflow/periodic/167978 2025-12-04T09:38:10.1461311Z * [new tag] ciflow/periodic/168096 -> ciflow/periodic/168096 2025-12-04T09:38:10.1462146Z * [new tag] ciflow/periodic/169286 -> ciflow/periodic/169286 2025-12-04T09:38:10.1463311Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-12-04T09:38:10.1464353Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-12-04T09:38:10.1465278Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-12-04T09:38:10.1466373Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-12-04T09:38:10.1468042Z * [new tag] ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T09:38:10.1469168Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-12-04T09:38:10.1470395Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-12-04T09:38:10.1471473Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-12-04T09:38:10.1472390Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-12-04T09:38:10.1473602Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-12-04T09:38:10.1474781Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-12-04T09:38:10.1475950Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-12-04T09:38:10.1477021Z * [new tag] ciflow/pull/167207 -> ciflow/pull/167207 2025-12-04T09:38:10.1478390Z * [new tag] ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207 2025-12-04T09:38:10.1479141Z * [new tag] ciflow/rocm-mi200/165545 -> ciflow/rocm-mi200/165545 2025-12-04T09:38:10.1479956Z * [new tag] ciflow/rocm-mi200/165997 -> ciflow/rocm-mi200/165997 2025-12-04T09:38:10.1480763Z * [new tag] ciflow/rocm-mi200/168096 -> ciflow/rocm-mi200/168096 2025-12-04T09:38:10.1481846Z * [new tag] ciflow/rocm-mi200/168275 -> ciflow/rocm-mi200/168275 2025-12-04T09:38:10.1482528Z * [new tag] ciflow/rocm-mi200/169063 -> ciflow/rocm-mi200/169063 2025-12-04T09:38:10.1483627Z * [new tag] ciflow/rocm-mi200/169356 -> ciflow/rocm-mi200/169356 2025-12-04T09:38:10.1484343Z * [new tag] ciflow/rocm-mi200/169425 -> ciflow/rocm-mi200/169425 2025-12-04T09:38:10.1485446Z * [new tag] ciflow/rocm-mi300/165545 -> ciflow/rocm-mi300/165545 2025-12-04T09:38:10.1486425Z * [new tag] ciflow/rocm-mi300/167157 -> ciflow/rocm-mi300/167157 2025-12-04T09:38:10.1487171Z * [new tag] ciflow/rocm-mi300/168096 -> ciflow/rocm-mi300/168096 2025-12-04T09:38:10.1487974Z * [new tag] ciflow/rocm-mi300/169063 -> ciflow/rocm-mi300/169063 2025-12-04T09:38:10.1488771Z * [new tag] ciflow/rocm-mi300/169425 -> ciflow/rocm-mi300/169425 2025-12-04T09:38:10.1489863Z * [new tag] ciflow/rocm-mi355/167157 -> ciflow/rocm-mi355/167157 2025-12-04T09:38:10.1490932Z * [new tag] ciflow/rocm-mi355/168275 -> ciflow/rocm-mi355/168275 2025-12-04T09:38:10.1491666Z * [new tag] ciflow/rocm-mi355/169425 -> ciflow/rocm-mi355/169425 2025-12-04T09:38:10.1492792Z * [new tag] ciflow/rocm-navi31/168275 -> ciflow/rocm-navi31/168275 2025-12-04T09:38:10.1493484Z * [new tag] ciflow/rocm-navi31/169425 -> ciflow/rocm-navi31/169425 2025-12-04T09:38:10.1494544Z * [new tag] ciflow/rocm/115316 -> ciflow/rocm/115316 2025-12-04T09:38:10.1495246Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-12-04T09:38:10.1496064Z * [new tag] ciflow/rocm/160685 -> ciflow/rocm/160685 2025-12-04T09:38:10.1496852Z * [new tag] ciflow/rocm/161607 -> ciflow/rocm/161607 2025-12-04T09:38:10.1497718Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-12-04T09:38:10.1498522Z * [new tag] ciflow/rocm/165997 -> ciflow/rocm/165997 2025-12-04T09:38:10.1499404Z * [new tag] ciflow/rocm/166165 -> ciflow/rocm/166165 2025-12-04T09:38:10.1500253Z * [new tag] ciflow/rocm/166517 -> ciflow/rocm/166517 2025-12-04T09:38:10.1501164Z * [new tag] ciflow/rocm/167207 -> ciflow/rocm/167207 2025-12-04T09:38:10.1502024Z * [new tag] ciflow/rocm/167536 -> ciflow/rocm/167536 2025-12-04T09:38:10.1502847Z * [new tag] ciflow/rocm/167781 -> ciflow/rocm/167781 2025-12-04T09:38:10.1504087Z * [new tag] ciflow/rocm/167989 -> ciflow/rocm/167989 2025-12-04T09:38:10.1505197Z * [new tag] ciflow/rocm/168073 -> ciflow/rocm/168073 2025-12-04T09:38:10.1506212Z * [new tag] ciflow/rocm/168195 -> ciflow/rocm/168195 2025-12-04T09:38:10.1506978Z * [new tag] ciflow/rocm/168939 -> ciflow/rocm/168939 2025-12-04T09:38:10.1507810Z * [new tag] ciflow/rocm/168971 -> ciflow/rocm/168971 2025-12-04T09:38:10.1508663Z * [new tag] ciflow/rocm/169024 -> ciflow/rocm/169024 2025-12-04T09:38:10.1509502Z * [new tag] ciflow/rocm/169200 -> ciflow/rocm/169200 2025-12-04T09:38:10.1510469Z * [new tag] ciflow/rocm/169216 -> ciflow/rocm/169216 2025-12-04T09:38:10.1511222Z * [new tag] ciflow/rocm/169312 -> ciflow/rocm/169312 2025-12-04T09:38:10.1512064Z * [new tag] ciflow/rocm/169380 -> ciflow/rocm/169380 2025-12-04T09:38:10.1512937Z * [new tag] ciflow/rocm/169427 -> ciflow/rocm/169427 2025-12-04T09:38:10.1513768Z * [new tag] ciflow/rocm/169455 -> ciflow/rocm/169455 2025-12-04T09:38:10.1514639Z * [new tag] ciflow/rocm/169470 -> ciflow/rocm/169470 2025-12-04T09:38:10.1515463Z * [new tag] ciflow/rocm/169471 -> ciflow/rocm/169471 2025-12-04T09:38:10.1516305Z * [new tag] ciflow/rocm/169472 -> ciflow/rocm/169472 2025-12-04T09:38:10.1517168Z * [new tag] ciflow/rocm/169514 -> ciflow/rocm/169514 2025-12-04T09:38:10.1518471Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-12-04T09:38:10.1519457Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-12-04T09:38:10.1520967Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-12-04T09:38:10.1521481Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-12-04T09:38:10.1522279Z * [new tag] ciflow/slow/167207 -> ciflow/slow/167207 2025-12-04T09:38:10.1523107Z * [new tag] ciflow/slow/168050 -> ciflow/slow/168050 2025-12-04T09:38:10.1524282Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-12-04T09:38:10.1525352Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-12-04T09:38:10.1526628Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-12-04T09:38:10.1527896Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-12-04T09:38:10.1529117Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-12-04T09:38:10.1530285Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-12-04T09:38:10.1531532Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-12-04T09:38:10.1532554Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-12-04T09:38:10.1534138Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-12-04T09:38:10.1534683Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-12-04T09:38:10.1535899Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-12-04T09:38:10.1536717Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-12-04T09:38:10.1537866Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-12-04T09:38:10.1538953Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-12-04T09:38:10.1540532Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-12-04T09:38:10.1541147Z * [new tag] ciflow/torchbench/168175 -> ciflow/torchbench/168175 2025-12-04T09:38:10.1542345Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-12-04T09:38:10.1543013Z * [new tag] ciflow/trunk/157149 -> ciflow/trunk/157149 2025-12-04T09:38:10.1543842Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-12-04T09:38:10.1544645Z * [new tag] ciflow/trunk/159718 -> ciflow/trunk/159718 2025-12-04T09:38:10.1545461Z * [new tag] ciflow/trunk/160685 -> ciflow/trunk/160685 2025-12-04T09:38:10.1546274Z * [new tag] ciflow/trunk/160729 -> ciflow/trunk/160729 2025-12-04T09:38:10.1547055Z * [new tag] ciflow/trunk/162275 -> ciflow/trunk/162275 2025-12-04T09:38:10.1547867Z * [new tag] ciflow/trunk/162795 -> ciflow/trunk/162795 2025-12-04T09:38:10.1548694Z * [new tag] ciflow/trunk/163245 -> ciflow/trunk/163245 2025-12-04T09:38:10.1549496Z * [new tag] ciflow/trunk/163942 -> ciflow/trunk/163942 2025-12-04T09:38:10.1550286Z * [new tag] ciflow/trunk/165274 -> ciflow/trunk/165274 2025-12-04T09:38:10.1551665Z * [new tag] ciflow/trunk/165483 -> ciflow/trunk/165483 2025-12-04T09:38:10.1552825Z * [new tag] ciflow/trunk/165728 -> ciflow/trunk/165728 2025-12-04T09:38:10.1553846Z * [new tag] ciflow/trunk/165922 -> ciflow/trunk/165922 2025-12-04T09:38:10.1554675Z * [new tag] ciflow/trunk/166075 -> ciflow/trunk/166075 2025-12-04T09:38:10.1555524Z * [new tag] ciflow/trunk/166165 -> ciflow/trunk/166165 2025-12-04T09:38:10.1556481Z * [new tag] ciflow/trunk/166829 -> ciflow/trunk/166829 2025-12-04T09:38:10.1557490Z * [new tag] ciflow/trunk/166843 -> ciflow/trunk/166843 2025-12-04T09:38:10.1558261Z * [new tag] ciflow/trunk/166876 -> ciflow/trunk/166876 2025-12-04T09:38:10.1559354Z * [new tag] ciflow/trunk/167207 -> ciflow/trunk/167207 2025-12-04T09:38:10.1560158Z * [new tag] ciflow/trunk/167536 -> ciflow/trunk/167536 2025-12-04T09:38:10.1560996Z * [new tag] ciflow/trunk/167552 -> ciflow/trunk/167552 2025-12-04T09:38:10.1561845Z * [new tag] ciflow/trunk/167555 -> ciflow/trunk/167555 2025-12-04T09:38:10.1562826Z * [new tag] ciflow/trunk/167599 -> ciflow/trunk/167599 2025-12-04T09:38:10.1563639Z * [new tag] ciflow/trunk/167659 -> ciflow/trunk/167659 2025-12-04T09:38:10.1564739Z * [new tag] ciflow/trunk/167672 -> ciflow/trunk/167672 2025-12-04T09:38:10.1565511Z * [new tag] ciflow/trunk/167742 -> ciflow/trunk/167742 2025-12-04T09:38:10.1566348Z * [new tag] ciflow/trunk/167781 -> ciflow/trunk/167781 2025-12-04T09:38:10.1567569Z * [new tag] ciflow/trunk/167837 -> ciflow/trunk/167837 2025-12-04T09:38:10.1568350Z * [new tag] ciflow/trunk/167887 -> ciflow/trunk/167887 2025-12-04T09:38:10.1569375Z * [new tag] ciflow/trunk/167978 -> ciflow/trunk/167978 2025-12-04T09:38:10.1570159Z * [new tag] ciflow/trunk/168050 -> ciflow/trunk/168050 2025-12-04T09:38:10.1570911Z * [new tag] ciflow/trunk/168051 -> ciflow/trunk/168051 2025-12-04T09:38:10.1571763Z * [new tag] ciflow/trunk/168096 -> ciflow/trunk/168096 2025-12-04T09:38:10.1572607Z * [new tag] ciflow/trunk/168127 -> ciflow/trunk/168127 2025-12-04T09:38:10.1573462Z * [new tag] ciflow/trunk/168157 -> ciflow/trunk/168157 2025-12-04T09:38:10.1574291Z * [new tag] ciflow/trunk/168175 -> ciflow/trunk/168175 2025-12-04T09:38:10.1575131Z * [new tag] ciflow/trunk/168209 -> ciflow/trunk/168209 2025-12-04T09:38:10.1576760Z * [new tag] ciflow/trunk/168213 -> ciflow/trunk/168213 2025-12-04T09:38:10.1577760Z * [new tag] ciflow/trunk/168226 -> ciflow/trunk/168226 2025-12-04T09:38:10.1578555Z * [new tag] ciflow/trunk/168262 -> ciflow/trunk/168262 2025-12-04T09:38:10.1579408Z * [new tag] ciflow/trunk/168275 -> ciflow/trunk/168275 2025-12-04T09:38:10.1580510Z * [new tag] ciflow/trunk/168328 -> ciflow/trunk/168328 2025-12-04T09:38:10.1581411Z * [new tag] ciflow/trunk/168368 -> ciflow/trunk/168368 2025-12-04T09:38:10.1582272Z * [new tag] ciflow/trunk/168917 -> ciflow/trunk/168917 2025-12-04T09:38:10.1583139Z * [new tag] ciflow/trunk/168933 -> ciflow/trunk/168933 2025-12-04T09:38:10.1584267Z * [new tag] ciflow/trunk/168941 -> ciflow/trunk/168941 2025-12-04T09:38:10.1585037Z * [new tag] ciflow/trunk/168955 -> ciflow/trunk/168955 2025-12-04T09:38:10.1585875Z * [new tag] ciflow/trunk/168980 -> ciflow/trunk/168980 2025-12-04T09:38:10.1587032Z * [new tag] ciflow/trunk/169004 -> ciflow/trunk/169004 2025-12-04T09:38:10.1587797Z * [new tag] ciflow/trunk/169006 -> ciflow/trunk/169006 2025-12-04T09:38:10.1588846Z * [new tag] ciflow/trunk/169023 -> ciflow/trunk/169023 2025-12-04T09:38:10.1589631Z * [new tag] ciflow/trunk/169025 -> ciflow/trunk/169025 2025-12-04T09:38:10.1590446Z * [new tag] ciflow/trunk/169048 -> ciflow/trunk/169048 2025-12-04T09:38:10.1591287Z * [new tag] ciflow/trunk/169066 -> ciflow/trunk/169066 2025-12-04T09:38:10.1592140Z * [new tag] ciflow/trunk/169091 -> ciflow/trunk/169091 2025-12-04T09:38:10.1593091Z * [new tag] ciflow/trunk/169102 -> ciflow/trunk/169102 2025-12-04T09:38:10.1593868Z * [new tag] ciflow/trunk/169103 -> ciflow/trunk/169103 2025-12-04T09:38:10.1594951Z * [new tag] ciflow/trunk/169125 -> ciflow/trunk/169125 2025-12-04T09:38:10.1595980Z * [new tag] ciflow/trunk/169139 -> ciflow/trunk/169139 2025-12-04T09:38:10.1596888Z * [new tag] ciflow/trunk/169148 -> ciflow/trunk/169148 2025-12-04T09:38:10.1597719Z * [new tag] ciflow/trunk/169151 -> ciflow/trunk/169151 2025-12-04T09:38:10.1598739Z * [new tag] ciflow/trunk/169156 -> ciflow/trunk/169156 2025-12-04T09:38:10.1599728Z * [new tag] ciflow/trunk/169176 -> ciflow/trunk/169176 2025-12-04T09:38:10.1600493Z * [new tag] ciflow/trunk/169204 -> ciflow/trunk/169204 2025-12-04T09:38:10.1601475Z * [new tag] ciflow/trunk/169207 -> ciflow/trunk/169207 2025-12-04T09:38:10.1602222Z * [new tag] ciflow/trunk/169211 -> ciflow/trunk/169211 2025-12-04T09:38:10.1603436Z * [new tag] ciflow/trunk/169231 -> ciflow/trunk/169231 2025-12-04T09:38:10.1604273Z * [new tag] ciflow/trunk/169260 -> ciflow/trunk/169260 2025-12-04T09:38:10.1605522Z * [new tag] ciflow/trunk/169271 -> ciflow/trunk/169271 2025-12-04T09:38:10.1606274Z * [new tag] ciflow/trunk/169280 -> ciflow/trunk/169280 2025-12-04T09:38:10.1607305Z * [new tag] ciflow/trunk/169281 -> ciflow/trunk/169281 2025-12-04T09:38:10.1608068Z * [new tag] ciflow/trunk/169286 -> ciflow/trunk/169286 2025-12-04T09:38:10.1609202Z * [new tag] ciflow/trunk/169293 -> ciflow/trunk/169293 2025-12-04T09:38:10.1609971Z * [new tag] ciflow/trunk/169296 -> ciflow/trunk/169296 2025-12-04T09:38:10.1610830Z * [new tag] ciflow/trunk/169304 -> ciflow/trunk/169304 2025-12-04T09:38:10.1611705Z * [new tag] ciflow/trunk/169305 -> ciflow/trunk/169305 2025-12-04T09:38:10.1612537Z * [new tag] ciflow/trunk/169312 -> ciflow/trunk/169312 2025-12-04T09:38:10.1613897Z * [new tag] ciflow/trunk/169328 -> ciflow/trunk/169328 2025-12-04T09:38:10.1614647Z * [new tag] ciflow/trunk/169343 -> ciflow/trunk/169343 2025-12-04T09:38:10.1615626Z * [new tag] ciflow/trunk/169355 -> ciflow/trunk/169355 2025-12-04T09:38:10.1616417Z * [new tag] ciflow/trunk/169370 -> ciflow/trunk/169370 2025-12-04T09:38:10.1617549Z * [new tag] ciflow/trunk/169379 -> ciflow/trunk/169379 2025-12-04T09:38:10.1618543Z * [new tag] ciflow/trunk/169380 -> ciflow/trunk/169380 2025-12-04T09:38:10.1619304Z * [new tag] ciflow/trunk/169385 -> ciflow/trunk/169385 2025-12-04T09:38:10.1620152Z * [new tag] ciflow/trunk/169387 -> ciflow/trunk/169387 2025-12-04T09:38:10.1621361Z * [new tag] ciflow/trunk/169410 -> ciflow/trunk/169410 2025-12-04T09:38:10.1622151Z * [new tag] ciflow/trunk/169412 -> ciflow/trunk/169412 2025-12-04T09:38:10.1623036Z * [new tag] ciflow/trunk/169418 -> ciflow/trunk/169418 2025-12-04T09:38:10.1623872Z * [new tag] ciflow/trunk/169423 -> ciflow/trunk/169423 2025-12-04T09:38:10.1624748Z * [new tag] ciflow/trunk/169427 -> ciflow/trunk/169427 2025-12-04T09:38:10.1625602Z * [new tag] ciflow/trunk/169430 -> ciflow/trunk/169430 2025-12-04T09:38:10.1626465Z * [new tag] ciflow/trunk/169437 -> ciflow/trunk/169437 2025-12-04T09:38:10.1627314Z * [new tag] ciflow/trunk/169442 -> ciflow/trunk/169442 2025-12-04T09:38:10.1628169Z * [new tag] ciflow/trunk/169452 -> ciflow/trunk/169452 2025-12-04T09:38:10.1629212Z * [new tag] ciflow/trunk/169454 -> ciflow/trunk/169454 2025-12-04T09:38:10.1629901Z * [new tag] ciflow/trunk/169459 -> ciflow/trunk/169459 2025-12-04T09:38:10.1631203Z * [new tag] ciflow/trunk/169474 -> ciflow/trunk/169474 2025-12-04T09:38:10.1631934Z * [new tag] ciflow/trunk/169475 -> ciflow/trunk/169475 2025-12-04T09:38:10.1632923Z * [new tag] ciflow/trunk/169476 -> ciflow/trunk/169476 2025-12-04T09:38:10.1633978Z * [new tag] ciflow/trunk/169487 -> ciflow/trunk/169487 2025-12-04T09:38:10.1634739Z * [new tag] ciflow/trunk/169497 -> ciflow/trunk/169497 2025-12-04T09:38:10.1636147Z * [new tag] ciflow/trunk/169503 -> ciflow/trunk/169503 2025-12-04T09:38:10.1636906Z * [new tag] ciflow/trunk/169505 -> ciflow/trunk/169505 2025-12-04T09:38:10.1637936Z * [new tag] ciflow/trunk/169507 -> ciflow/trunk/169507 2025-12-04T09:38:10.1638663Z * [new tag] ciflow/trunk/169514 -> ciflow/trunk/169514 2025-12-04T09:38:10.1639625Z * [new tag] ciflow/trunk/169517 -> ciflow/trunk/169517 2025-12-04T09:38:10.1640429Z * [new tag] ciflow/trunk/169519 -> ciflow/trunk/169519 2025-12-04T09:38:10.1641258Z * [new tag] ciflow/trunk/169528 -> ciflow/trunk/169528 2025-12-04T09:38:10.1642129Z * [new tag] ciflow/trunk/169541 -> ciflow/trunk/169541 2025-12-04T09:38:10.1643290Z * [new tag] ciflow/trunk/169555 -> ciflow/trunk/169555 2025-12-04T09:38:10.1644587Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-12-04T09:38:10.1645548Z * [new tag] ciflow/vllm/165270 -> ciflow/vllm/165270 2025-12-04T09:38:10.1646387Z * [new tag] ciflow/vllm/165274 -> ciflow/vllm/165274 2025-12-04T09:38:10.1647222Z * [new tag] ciflow/vllm/166494 -> ciflow/vllm/166494 2025-12-04T09:38:10.1648061Z * [new tag] ciflow/vllm/169219 -> ciflow/vllm/169219 2025-12-04T09:38:10.1648880Z * [new tag] ciflow/vllm/169220 -> ciflow/vllm/169220 2025-12-04T09:38:10.1649942Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-12-04T09:38:10.1650665Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-12-04T09:38:10.1651479Z * [new tag] ciflow/xpu/161940 -> ciflow/xpu/161940 2025-12-04T09:38:10.1652521Z * [new tag] ciflow/xpu/163251 -> ciflow/xpu/163251 2025-12-04T09:38:10.1653236Z * [new tag] ciflow/xpu/166829 -> ciflow/xpu/166829 2025-12-04T09:38:10.1654040Z * [new tag] ciflow/xpu/166843 -> ciflow/xpu/166843 2025-12-04T09:38:10.1654880Z * [new tag] ciflow/xpu/167972 -> ciflow/xpu/167972 2025-12-04T09:38:10.1655739Z * [new tag] ciflow/xpu/167981 -> ciflow/xpu/167981 2025-12-04T09:38:10.1656495Z * [new tag] ciflow/xpu/168213 -> ciflow/xpu/168213 2025-12-04T09:38:10.1657321Z * [new tag] ciflow/xpu/168262 -> ciflow/xpu/168262 2025-12-04T09:38:10.1658133Z * [new tag] ciflow/xpu/168328 -> ciflow/xpu/168328 2025-12-04T09:38:10.1659347Z * [new tag] ciflow/xpu/168950 -> ciflow/xpu/168950 2025-12-04T09:38:10.1660607Z * [new tag] ciflow/xpu/169039 -> ciflow/xpu/169039 2025-12-04T09:38:10.1661800Z * [new tag] ciflow/xpu/169200 -> ciflow/xpu/169200 2025-12-04T09:38:10.1662594Z * [new tag] ciflow/xpu/169203 -> ciflow/xpu/169203 2025-12-04T09:38:10.1663567Z * [new tag] ciflow/xpu/169230 -> ciflow/xpu/169230 2025-12-04T09:38:10.1664359Z * [new tag] ciflow/xpu/169231 -> ciflow/xpu/169231 2025-12-04T09:38:10.1665523Z * [new tag] ciflow/xpu/169241 -> ciflow/xpu/169241 2025-12-04T09:38:10.1666252Z * [new tag] ciflow/xpu/169280 -> ciflow/xpu/169280 2025-12-04T09:38:10.1667066Z * [new tag] ciflow/xpu/169296 -> ciflow/xpu/169296 2025-12-04T09:38:10.1668176Z * [new tag] ciflow/xpu/169353 -> ciflow/xpu/169353 2025-12-04T09:38:10.1668919Z * [new tag] ciflow/xpu/169410 -> ciflow/xpu/169410 2025-12-04T09:38:10.1669885Z * [new tag] ciflow/xpu/169442 -> ciflow/xpu/169442 2025-12-04T09:38:10.1670695Z * [new tag] ciflow/xpu/169555 -> ciflow/xpu/169555 2025-12-04T09:38:10.1671754Z * [new tag] cslpull75 -> cslpull75 2025-12-04T09:38:10.1672751Z * [new tag] cslpull76 -> cslpull76 2025-12-04T09:38:10.1673713Z * [new tag] cslpull77 -> cslpull77 2025-12-04T09:38:10.1674810Z * [new tag] cslpull78 -> cslpull78 2025-12-04T09:38:10.1675969Z * [new tag] cslpull79 -> cslpull79 2025-12-04T09:38:10.1677182Z * [new tag] cslpull80 -> cslpull80 2025-12-04T09:38:10.1678257Z * [new tag] cslpull81 -> cslpull81 2025-12-04T09:38:10.1679069Z * [new tag] cslpull82 -> cslpull82 2025-12-04T09:38:10.1680193Z * [new tag] cslpull83 -> cslpull83 2025-12-04T09:38:10.1681178Z * [new tag] cslpull84 -> cslpull84 2025-12-04T09:38:10.1682112Z * [new tag] cslpull85 -> cslpull85 2025-12-04T09:38:10.1683196Z * [new tag] cslpull86 -> cslpull86 2025-12-04T09:38:10.1684174Z * [new tag] cslpull87 -> cslpull87 2025-12-04T09:38:10.1685245Z * [new tag] cslpull88 -> cslpull88 2025-12-04T09:38:10.1686222Z * [new tag] cslpull89 -> cslpull89 2025-12-04T09:38:10.1686848Z * [new tag] cslpull90 -> cslpull90 2025-12-04T09:38:10.1688439Z * [new tag] cslpull91 -> cslpull91 2025-12-04T09:38:10.1689261Z * [new tag] cslpull92 -> cslpull92 2025-12-04T09:38:10.1690473Z * [new tag] flight_5 -> flight_5 2025-12-04T09:38:10.1691606Z * [new tag] flight_5.1 -> flight_5.1 2025-12-04T09:38:10.1692598Z * [new tag] flight_5.2 -> flight_5.2 2025-12-04T09:38:10.1693637Z * [new tag] flight_5.3 -> flight_5.3 2025-12-04T09:38:10.1694668Z * [new tag] forpull1 -> forpull1 2025-12-04T09:38:10.1696058Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-12-04T09:38:10.1697501Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-12-04T09:38:10.1698475Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-12-04T09:38:10.1699557Z * [new tag] nightly-binary -> nightly-binary 2025-12-04T09:38:10.1700578Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-12-04T09:38:10.1701865Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-12-04T09:38:10.1703198Z * [new tag] trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 2025-12-04T09:38:10.1704108Z * [new tag] trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e 2025-12-04T09:38:10.1705534Z * [new tag] trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 2025-12-04T09:38:10.1706640Z * [new tag] trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654 2025-12-04T09:38:10.1707883Z * [new tag] trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb 2025-12-04T09:38:10.1708835Z * [new tag] trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b 2025-12-04T09:38:10.1709860Z * [new tag] trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 2025-12-04T09:38:10.1710861Z * [new tag] trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75 2025-12-04T09:38:10.1712232Z * [new tag] trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 2025-12-04T09:38:10.1713234Z * [new tag] trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 2025-12-04T09:38:10.1714310Z * [new tag] trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688 2025-12-04T09:38:10.1715336Z * [new tag] trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10 2025-12-04T09:38:10.1716415Z * [new tag] trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec 2025-12-04T09:38:10.1717382Z * [new tag] trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f 2025-12-04T09:38:10.1718786Z * [new tag] trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 2025-12-04T09:38:10.1719699Z * [new tag] trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 2025-12-04T09:38:10.1720680Z * [new tag] trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 2025-12-04T09:38:10.1721684Z * [new tag] trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 2025-12-04T09:38:10.1722677Z * [new tag] trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e 2025-12-04T09:38:10.1723727Z * [new tag] trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520 2025-12-04T09:38:10.1724760Z * [new tag] trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 2025-12-04T09:38:10.1725881Z * [new tag] trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c 2025-12-04T09:38:10.1726725Z * [new tag] trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d 2025-12-04T09:38:10.1727781Z * [new tag] trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 2025-12-04T09:38:10.1728879Z * [new tag] trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de 2025-12-04T09:38:10.1729938Z * [new tag] trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 2025-12-04T09:38:10.1731743Z * [new tag] trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 2025-12-04T09:38:10.1732680Z * [new tag] trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f 2025-12-04T09:38:10.1733967Z * [new tag] trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9 2025-12-04T09:38:10.1734765Z * [new tag] trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87 2025-12-04T09:38:10.1735858Z * [new tag] trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc 2025-12-04T09:38:10.1736924Z * [new tag] trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25 2025-12-04T09:38:10.1737987Z * [new tag] trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 2025-12-04T09:38:10.1739025Z * [new tag] trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf 2025-12-04T09:38:10.1739865Z * [new tag] trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd 2025-12-04T09:38:10.1740956Z * [new tag] trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 2025-12-04T09:38:10.1742353Z * [new tag] trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 2025-12-04T09:38:10.1743322Z * [new tag] trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35 2025-12-04T09:38:10.1744378Z * [new tag] trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec 2025-12-04T09:38:10.1762961Z * [new tag] trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 2025-12-04T09:38:10.1763718Z * [new tag] trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1 2025-12-04T09:38:10.1764174Z * [new tag] trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 2025-12-04T09:38:10.1764654Z * [new tag] trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 2025-12-04T09:38:10.1765098Z * [new tag] trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 2025-12-04T09:38:10.1765564Z * [new tag] trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf 2025-12-04T09:38:10.1766164Z * [new tag] trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee 2025-12-04T09:38:10.1766605Z * [new tag] trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 2025-12-04T09:38:10.1767070Z * [new tag] trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 2025-12-04T09:38:10.1767519Z * [new tag] trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae 2025-12-04T09:38:10.1767972Z * [new tag] trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f 2025-12-04T09:38:10.1768430Z * [new tag] trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c 2025-12-04T09:38:10.1768875Z * [new tag] trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247 2025-12-04T09:38:10.1769335Z * [new tag] trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c 2025-12-04T09:38:10.1769781Z * [new tag] trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a 2025-12-04T09:38:10.1770217Z * [new tag] trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686 2025-12-04T09:38:10.1770675Z * [new tag] trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 2025-12-04T09:38:10.1771127Z * [new tag] trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af 2025-12-04T09:38:10.1771591Z * [new tag] trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 2025-12-04T09:38:10.1772031Z * [new tag] trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873 2025-12-04T09:38:10.1772483Z * [new tag] trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 2025-12-04T09:38:10.1772935Z * [new tag] trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f 2025-12-04T09:38:10.1773376Z * [new tag] trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa 2025-12-04T09:38:10.1773908Z * [new tag] trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c 2025-12-04T09:38:10.1774360Z * [new tag] trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a 2025-12-04T09:38:10.1774808Z * [new tag] trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d 2025-12-04T09:38:10.1775269Z * [new tag] trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 2025-12-04T09:38:10.1775709Z * [new tag] trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 2025-12-04T09:38:10.1776178Z * [new tag] trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a 2025-12-04T09:38:10.1776614Z * [new tag] trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 2025-12-04T09:38:10.1777505Z * [new tag] trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 2025-12-04T09:38:10.1778241Z * [new tag] trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 2025-12-04T09:38:10.1779144Z * [new tag] trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96 2025-12-04T09:38:10.1779999Z * [new tag] trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc 2025-12-04T09:38:10.1781130Z * [new tag] trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 2025-12-04T09:38:10.1782481Z * [new tag] trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd 2025-12-04T09:38:10.1783223Z * [new tag] trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 2025-12-04T09:38:10.1784507Z * [new tag] trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 2025-12-04T09:38:10.1785507Z * [new tag] trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c 2025-12-04T09:38:10.1786970Z * [new tag] trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b 2025-12-04T09:38:10.1787772Z * [new tag] trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c 2025-12-04T09:38:10.1788784Z * [new tag] trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 2025-12-04T09:38:10.1789854Z * [new tag] trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 2025-12-04T09:38:10.1791104Z * [new tag] trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef 2025-12-04T09:38:10.1791998Z * [new tag] trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719 2025-12-04T09:38:10.1793042Z * [new tag] trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b 2025-12-04T09:38:10.1794083Z * [new tag] trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a 2025-12-04T09:38:10.1795147Z * [new tag] trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206 2025-12-04T09:38:10.1796183Z * [new tag] trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 2025-12-04T09:38:10.1797156Z * [new tag] trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 2025-12-04T09:38:10.1798326Z * [new tag] trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d 2025-12-04T09:38:10.1799744Z * [new tag] trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b 2025-12-04T09:38:10.1800730Z * [new tag] trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 2025-12-04T09:38:10.1801723Z * [new tag] trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 2025-12-04T09:38:10.1802871Z * [new tag] trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec 2025-12-04T09:38:10.1803897Z * [new tag] trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 2025-12-04T09:38:10.1804929Z * [new tag] trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d 2025-12-04T09:38:10.1805967Z * [new tag] trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a 2025-12-04T09:38:10.1807041Z * [new tag] trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e 2025-12-04T09:38:10.1808074Z * [new tag] trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 2025-12-04T09:38:10.1809038Z * [new tag] trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485 2025-12-04T09:38:10.1810300Z * [new tag] trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734 2025-12-04T09:38:10.1811265Z * [new tag] trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f 2025-12-04T09:38:10.1812337Z * [new tag] trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 2025-12-04T09:38:10.1813166Z * [new tag] trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f -> trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f 2025-12-04T09:38:10.1814239Z * [new tag] trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03 2025-12-04T09:38:10.1815353Z * [new tag] trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 2025-12-04T09:38:10.1816392Z * [new tag] trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 2025-12-04T09:38:10.1817258Z * [new tag] trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 2025-12-04T09:38:10.1818266Z * [new tag] trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca 2025-12-04T09:38:10.1819264Z * [new tag] trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b 2025-12-04T09:38:10.1820365Z * [new tag] trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609 2025-12-04T09:38:10.1821567Z * [new tag] trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b 2025-12-04T09:38:10.1822466Z * [new tag] trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T09:38:10.1823419Z * [new tag] trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 2025-12-04T09:38:10.1824556Z * [new tag] trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed 2025-12-04T09:38:10.1825627Z * [new tag] trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 2025-12-04T09:38:10.1826588Z * [new tag] trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e 2025-12-04T09:38:10.1827460Z * [new tag] trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead 2025-12-04T09:38:10.1828498Z * [new tag] trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718 2025-12-04T09:38:10.1829904Z * [new tag] trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0 2025-12-04T09:38:10.1831441Z * [new tag] trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75 2025-12-04T09:38:10.1835428Z * [new tag] trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece 2025-12-04T09:38:10.1836220Z * [new tag] trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6 2025-12-04T09:38:10.1837609Z * [new tag] trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 2025-12-04T09:38:10.1838505Z * [new tag] trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c 2025-12-04T09:38:10.1839589Z * [new tag] trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 2025-12-04T09:38:10.1840653Z * [new tag] trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 2025-12-04T09:38:10.1841765Z * [new tag] trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca 2025-12-04T09:38:10.1842771Z * [new tag] trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38 2025-12-04T09:38:10.1843658Z * [new tag] trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 2025-12-04T09:38:10.1844544Z * [new tag] trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c 2025-12-04T09:38:10.1845779Z * [new tag] trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 2025-12-04T09:38:10.1846770Z * [new tag] trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 2025-12-04T09:38:10.1847825Z * [new tag] trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa 2025-12-04T09:38:10.1848876Z * [new tag] trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d 2025-12-04T09:38:10.1849911Z * [new tag] trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 2025-12-04T09:38:10.1850934Z * [new tag] trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 2025-12-04T09:38:10.1852034Z * [new tag] trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d 2025-12-04T09:38:10.1853065Z * [new tag] trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a 2025-12-04T09:38:10.1854101Z * [new tag] trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 2025-12-04T09:38:10.1855372Z * [new tag] trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 2025-12-04T09:38:10.1856247Z * [new tag] trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa 2025-12-04T09:38:10.1857670Z * [new tag] trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d 2025-12-04T09:38:10.1858494Z * [new tag] trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c 2025-12-04T09:38:10.1859516Z * [new tag] trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 2025-12-04T09:38:10.1860567Z * [new tag] trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c 2025-12-04T09:38:10.1861583Z * [new tag] trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45 2025-12-04T09:38:10.1862797Z * [new tag] trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 2025-12-04T09:38:10.1863794Z * [new tag] trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e 2025-12-04T09:38:10.1865020Z * [new tag] trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e 2025-12-04T09:38:10.1865840Z * [new tag] trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e 2025-12-04T09:38:10.1866739Z * [new tag] trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 2025-12-04T09:38:10.1867828Z * [new tag] trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 2025-12-04T09:38:10.1869043Z * [new tag] trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 2025-12-04T09:38:10.1870617Z * [new tag] trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99 2025-12-04T09:38:10.1871614Z * [new tag] trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 2025-12-04T09:38:10.1872730Z * [new tag] trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 2025-12-04T09:38:10.1873837Z * [new tag] trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a 2025-12-04T09:38:10.1874903Z * [new tag] trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 2025-12-04T09:38:10.1876224Z * [new tag] trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 2025-12-04T09:38:10.1877211Z * [new tag] trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b 2025-12-04T09:38:10.1878531Z * [new tag] trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e 2025-12-04T09:38:10.1879550Z * [new tag] trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf 2025-12-04T09:38:10.1880537Z * [new tag] trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 2025-12-04T09:38:10.1881858Z * [new tag] trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f 2025-12-04T09:38:10.1882956Z * [new tag] trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f 2025-12-04T09:38:10.1883951Z * [new tag] trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2 2025-12-04T09:38:10.1885014Z * [new tag] trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 2025-12-04T09:38:10.1886487Z * [new tag] trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 2025-12-04T09:38:10.1887335Z * [new tag] trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 2025-12-04T09:38:10.1888433Z * [new tag] trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 2025-12-04T09:38:10.1889874Z * [new tag] trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 2025-12-04T09:38:10.1890869Z * [new tag] trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede 2025-12-04T09:38:10.1892123Z * [new tag] trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac 2025-12-04T09:38:10.1893086Z * [new tag] trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb 2025-12-04T09:38:10.1894003Z * [new tag] trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 2025-12-04T09:38:10.1895451Z * [new tag] trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 2025-12-04T09:38:10.1896512Z * [new tag] trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09 2025-12-04T09:38:10.1897456Z * [new tag] trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 2025-12-04T09:38:10.1898562Z * [new tag] trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a 2025-12-04T09:38:10.1899777Z * [new tag] trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace 2025-12-04T09:38:10.1900724Z * [new tag] trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39 2025-12-04T09:38:10.1902047Z * [new tag] trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 2025-12-04T09:38:10.1903012Z * [new tag] trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 2025-12-04T09:38:10.1904235Z * [new tag] trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf 2025-12-04T09:38:10.1905284Z * [new tag] trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 2025-12-04T09:38:10.1906251Z * [new tag] trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d 2025-12-04T09:38:10.1907326Z * [new tag] trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 2025-12-04T09:38:10.1908385Z * [new tag] trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 2025-12-04T09:38:10.1909444Z * [new tag] trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e 2025-12-04T09:38:10.1910522Z * [new tag] trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a 2025-12-04T09:38:10.1911614Z * [new tag] trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b 2025-12-04T09:38:10.1912714Z * [new tag] trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec 2025-12-04T09:38:10.1913805Z * [new tag] trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf 2025-12-04T09:38:10.1914866Z * [new tag] trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd 2025-12-04T09:38:10.1915913Z * [new tag] trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889 2025-12-04T09:38:10.1917187Z * [new tag] trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77 2025-12-04T09:38:10.1918641Z * [new tag] trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c 2025-12-04T09:38:10.1919841Z * [new tag] trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b 2025-12-04T09:38:10.1920725Z * [new tag] trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235 2025-12-04T09:38:10.1921789Z * [new tag] trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e 2025-12-04T09:38:10.1923056Z * [new tag] trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc 2025-12-04T09:38:10.1924077Z * [new tag] trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 -> trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 2025-12-04T09:38:10.1925203Z * [new tag] trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf 2025-12-04T09:38:10.1926274Z * [new tag] trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e 2025-12-04T09:38:10.1927306Z * [new tag] trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e 2025-12-04T09:38:10.1928952Z * [new tag] trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 2025-12-04T09:38:10.1929943Z * [new tag] trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 2025-12-04T09:38:10.1931140Z * [new tag] trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 2025-12-04T09:38:10.1932385Z * [new tag] trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598 2025-12-04T09:38:10.1933390Z * [new tag] trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 2025-12-04T09:38:10.1934433Z * [new tag] trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 2025-12-04T09:38:10.1935535Z * [new tag] trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 2025-12-04T09:38:10.1936483Z * [new tag] trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 2025-12-04T09:38:10.1937740Z * [new tag] trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 2025-12-04T09:38:10.1938712Z * [new tag] trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 2025-12-04T09:38:10.1939623Z * [new tag] trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 2025-12-04T09:38:10.1941077Z * [new tag] trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b 2025-12-04T09:38:10.1942590Z * [new tag] trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 2025-12-04T09:38:10.1944149Z * [new tag] trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 2025-12-04T09:38:10.1945125Z * [new tag] trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 2025-12-04T09:38:10.1946505Z * [new tag] trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:38:10.1947031Z * [new tag] v0.1.1 -> v0.1.1 2025-12-04T09:38:10.1948135Z * [new tag] v0.1.10 -> v0.1.10 2025-12-04T09:38:10.1949123Z * [new tag] v0.1.11 -> v0.1.11 2025-12-04T09:38:10.1950183Z * [new tag] v0.1.12 -> v0.1.12 2025-12-04T09:38:10.1951111Z * [new tag] v0.1.2 -> v0.1.2 2025-12-04T09:38:10.1952021Z * [new tag] v0.1.3 -> v0.1.3 2025-12-04T09:38:10.1953065Z * [new tag] v0.1.4 -> v0.1.4 2025-12-04T09:38:10.1954037Z * [new tag] v0.1.5 -> v0.1.5 2025-12-04T09:38:10.1954989Z * [new tag] v0.1.6 -> v0.1.6 2025-12-04T09:38:10.1955935Z * [new tag] v0.1.7 -> v0.1.7 2025-12-04T09:38:10.1956844Z * [new tag] v0.1.8 -> v0.1.8 2025-12-04T09:38:10.1957850Z * [new tag] v0.1.9 -> v0.1.9 2025-12-04T09:38:10.1958844Z * [new tag] v0.2.0 -> v0.2.0 2025-12-04T09:38:10.1959899Z * [new tag] v0.3.0 -> v0.3.0 2025-12-04T09:38:10.1961089Z * [new tag] v0.3.1 -> v0.3.1 2025-12-04T09:38:10.1961868Z * [new tag] v0.4.0 -> v0.4.0 2025-12-04T09:38:10.1962943Z * [new tag] v0.4.1 -> v0.4.1 2025-12-04T09:38:10.1963874Z * [new tag] v1.0.0 -> v1.0.0 2025-12-04T09:38:10.1964923Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-12-04T09:38:10.1965915Z * [new tag] v1.0.1 -> v1.0.1 2025-12-04T09:38:10.1966943Z * [new tag] v1.0rc0 -> v1.0rc0 2025-12-04T09:38:10.1967643Z * [new tag] v1.0rc1 -> v1.0rc1 2025-12-04T09:38:10.1968707Z * [new tag] v1.1.0 -> v1.1.0 2025-12-04T09:38:10.1969740Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-12-04T09:38:10.1971078Z * [new tag] v1.10.0 -> v1.10.0 2025-12-04T09:38:10.1972166Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-12-04T09:38:10.1973200Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-12-04T09:38:10.1973893Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-12-04T09:38:10.1975036Z * [new tag] v1.10.1 -> v1.10.1 2025-12-04T09:38:10.1975736Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-12-04T09:38:10.1976538Z * [new tag] v1.10.2 -> v1.10.2 2025-12-04T09:38:10.1977356Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-12-04T09:38:10.1978498Z * [new tag] v1.11.0 -> v1.11.0 2025-12-04T09:38:10.1979657Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-12-04T09:38:10.1980743Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-12-04T09:38:10.1982438Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-12-04T09:38:10.1983452Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-12-04T09:38:10.1984580Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-12-04T09:38:10.1985522Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-12-04T09:38:10.1986213Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-12-04T09:38:10.1987554Z * [new tag] v1.12.0 -> v1.12.0 2025-12-04T09:38:10.1988354Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-12-04T09:38:10.1989475Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-12-04T09:38:10.1990529Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-12-04T09:38:10.1991616Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-12-04T09:38:10.1992665Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-12-04T09:38:10.1993764Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-12-04T09:38:10.1994497Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-12-04T09:38:10.1995290Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-12-04T09:38:10.1996074Z * [new tag] v1.12.1 -> v1.12.1 2025-12-04T09:38:10.1997352Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-12-04T09:38:10.1998381Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-12-04T09:38:10.1999498Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-12-04T09:38:10.2000595Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-12-04T09:38:10.2001307Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-12-04T09:38:10.2002477Z * [new tag] v1.13.0 -> v1.13.0 2025-12-04T09:38:10.2003467Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-12-04T09:38:10.2004450Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-12-04T09:38:10.2005451Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-12-04T09:38:10.2006681Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-12-04T09:38:10.2007374Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-12-04T09:38:10.2008171Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-12-04T09:38:10.2009353Z * [new tag] v1.13.1 -> v1.13.1 2025-12-04T09:38:10.2010062Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-12-04T09:38:10.2011151Z * [new tag] v1.2.0 -> v1.2.0 2025-12-04T09:38:10.2012163Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-12-04T09:38:10.2013146Z * [new tag] v1.3.0 -> v1.3.0 2025-12-04T09:38:10.2014163Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-12-04T09:38:10.2014859Z * [new tag] v1.3.1 -> v1.3.1 2025-12-04T09:38:10.2015946Z * [new tag] v1.4.0 -> v1.4.0 2025-12-04T09:38:10.2017019Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-12-04T09:38:10.2017769Z * [new tag] v1.4.1 -> v1.4.1 2025-12-04T09:38:10.2018908Z * [new tag] v1.5.0 -> v1.5.0 2025-12-04T09:38:10.2020001Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-12-04T09:38:10.2021158Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-12-04T09:38:10.2022337Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-12-04T09:38:10.2023283Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-12-04T09:38:10.2024010Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-12-04T09:38:10.2025263Z * [new tag] v1.5.1 -> v1.5.1 2025-12-04T09:38:10.2025970Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-12-04T09:38:10.2026746Z * [new tag] v1.6.0 -> v1.6.0 2025-12-04T09:38:10.2027882Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-12-04T09:38:10.2029086Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-12-04T09:38:10.2030102Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-12-04T09:38:10.2031282Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-12-04T09:38:10.2032305Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-12-04T09:38:10.2033315Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-12-04T09:38:10.2034012Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-12-04T09:38:10.2035271Z * [new tag] v1.7.0 -> v1.7.0 2025-12-04T09:38:10.2036329Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-12-04T09:38:10.2037448Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-12-04T09:38:10.2038526Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-12-04T09:38:10.2039243Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-12-04T09:38:10.2040413Z * [new tag] v1.7.1 -> v1.7.1 2025-12-04T09:38:10.2041551Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-12-04T09:38:10.2042711Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-12-04T09:38:10.2043400Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-12-04T09:38:10.2044515Z * [new tag] v1.8.0 -> v1.8.0 2025-12-04T09:38:10.2045250Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-12-04T09:38:10.2046842Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-12-04T09:38:10.2047902Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-12-04T09:38:10.2048874Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-12-04T09:38:10.2049691Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-12-04T09:38:10.2050482Z * [new tag] v1.8.1 -> v1.8.1 2025-12-04T09:38:10.2051639Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-12-04T09:38:10.2052352Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-12-04T09:38:10.2053160Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-12-04T09:38:10.2054833Z * [new tag] v1.8.2 -> v1.8.2 2025-12-04T09:38:10.2055564Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-12-04T09:38:10.2056697Z * [new tag] v1.9.0 -> v1.9.0 2025-12-04T09:38:10.2057772Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-12-04T09:38:10.2058857Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-12-04T09:38:10.2059920Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-12-04T09:38:10.2060637Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-12-04T09:38:10.2061860Z * [new tag] v1.9.1 -> v1.9.1 2025-12-04T09:38:10.2063137Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-12-04T09:38:10.2063856Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-12-04T09:38:10.2065026Z * [new tag] v2.0.0 -> v2.0.0 2025-12-04T09:38:10.2066069Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-12-04T09:38:10.2067132Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-12-04T09:38:10.2068216Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-12-04T09:38:10.2069201Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-12-04T09:38:10.2070299Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-12-04T09:38:10.2071124Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-12-04T09:38:10.2072220Z * [new tag] v2.0.1 -> v2.0.1 2025-12-04T09:38:10.2073314Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-12-04T09:38:10.2074004Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-12-04T09:38:10.2075079Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-12-04T09:38:10.2075779Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-12-04T09:38:10.2077467Z * [new tag] v2.1.0 -> v2.1.0 2025-12-04T09:38:10.2078493Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-12-04T09:38:10.2079579Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-12-04T09:38:10.2080706Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-12-04T09:38:10.2081798Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-12-04T09:38:10.2082990Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-12-04T09:38:10.2083694Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-12-04T09:38:10.2084992Z * [new tag] v2.1.1 -> v2.1.1 2025-12-04T09:38:10.2086186Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-12-04T09:38:10.2087191Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-12-04T09:38:10.2088364Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-12-04T09:38:10.2089455Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-12-04T09:38:10.2090519Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-12-04T09:38:10.2091226Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-12-04T09:38:10.2092312Z * [new tag] v2.1.2 -> v2.1.2 2025-12-04T09:38:10.2093436Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-12-04T09:38:10.2094527Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-12-04T09:38:10.2095290Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-12-04T09:38:10.2096488Z * [new tag] v2.2.0 -> v2.2.0 2025-12-04T09:38:10.2097494Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-12-04T09:38:10.2098546Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-12-04T09:38:10.2099546Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-12-04T09:38:10.2100533Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-12-04T09:38:10.2101669Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-12-04T09:38:10.2102692Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-12-04T09:38:10.2103396Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-12-04T09:38:10.2104200Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-12-04T09:38:10.2105400Z * [new tag] v2.2.1 -> v2.2.1 2025-12-04T09:38:10.2106490Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-12-04T09:38:10.2107528Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-12-04T09:38:10.2108236Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-12-04T09:38:10.2109037Z * [new tag] v2.2.2 -> v2.2.2 2025-12-04T09:38:10.2110307Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-12-04T09:38:10.2111022Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-12-04T09:38:10.2112663Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-12-04T09:38:10.2113855Z * [new tag] v2.3.0 -> v2.3.0 2025-12-04T09:38:10.2114899Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-12-04T09:38:10.2116090Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-12-04T09:38:10.2117278Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-12-04T09:38:10.2118018Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-12-04T09:38:10.2119121Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-12-04T09:38:10.2120204Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-12-04T09:38:10.2121205Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-12-04T09:38:10.2122272Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-12-04T09:38:10.2123031Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-12-04T09:38:10.2124189Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-12-04T09:38:10.2125227Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-12-04T09:38:10.2125922Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-12-04T09:38:10.2126734Z * [new tag] v2.3.1 -> v2.3.1 2025-12-04T09:38:10.2127965Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-12-04T09:38:10.2128990Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-12-04T09:38:10.2130122Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-12-04T09:38:10.2134321Z * [new tag] v2.4.0 -> v2.4.0 2025-12-04T09:38:10.2135539Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-12-04T09:38:10.2136569Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-12-04T09:38:10.2137630Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-12-04T09:38:10.2138709Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-12-04T09:38:10.2139823Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-12-04T09:38:10.2140975Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-12-04T09:38:10.2142121Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-12-04T09:38:10.2143129Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-12-04T09:38:10.2144233Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-12-04T09:38:10.2144960Z * [new tag] v2.4.1 -> v2.4.1 2025-12-04T09:38:10.2146225Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-12-04T09:38:10.2147267Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-12-04T09:38:10.2148365Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-12-04T09:38:10.2149416Z * [new tag] v2.5.0 -> v2.5.0 2025-12-04T09:38:10.2150424Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-12-04T09:38:10.2151193Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-12-04T09:38:10.2152401Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-12-04T09:38:10.2153462Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-12-04T09:38:10.2154481Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-12-04T09:38:10.2155521Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-12-04T09:38:10.2156692Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-12-04T09:38:10.2157761Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-12-04T09:38:10.2158874Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-12-04T09:38:10.2160034Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-12-04T09:38:10.2160674Z * [new tag] v2.5.1 -> v2.5.1 2025-12-04T09:38:10.2161453Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-12-04T09:38:10.2162260Z * [new tag] v2.6.0 -> v2.6.0 2025-12-04T09:38:10.2163500Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-12-04T09:38:10.2164611Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-12-04T09:38:10.2165740Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-12-04T09:38:10.2166799Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-12-04T09:38:10.2168117Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-12-04T09:38:10.2169342Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-12-04T09:38:10.2170399Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-12-04T09:38:10.2171679Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-12-04T09:38:10.2172723Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-12-04T09:38:10.2174021Z * [new tag] v2.7.0 -> v2.7.0 2025-12-04T09:38:10.2175079Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-12-04T09:38:10.2175867Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-12-04T09:38:10.2177111Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-12-04T09:38:10.2178262Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-12-04T09:38:10.2179326Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-12-04T09:38:10.2180395Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-12-04T09:38:10.2181571Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-12-04T09:38:10.2182612Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-12-04T09:38:10.2184170Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-12-04T09:38:10.2185420Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-12-04T09:38:10.2186162Z * [new tag] v2.7.1 -> v2.7.1 2025-12-04T09:38:10.2187500Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-12-04T09:38:10.2188582Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-12-04T09:38:10.2189785Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-12-04T09:38:10.2190890Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-12-04T09:38:10.2191917Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-12-04T09:38:10.2192716Z * [new tag] v2.8.0 -> v2.8.0 2025-12-04T09:38:10.2193857Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-12-04T09:38:10.2194910Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-12-04T09:38:10.2196188Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-12-04T09:38:10.2197301Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-12-04T09:38:10.2198446Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-12-04T09:38:10.2199557Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-12-04T09:38:10.2200672Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-12-04T09:38:10.2201726Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-12-04T09:38:10.2202844Z * [new tag] v2.9.0 -> v2.9.0 2025-12-04T09:38:10.2203944Z * [new tag] v2.9.0-rc1 -> v2.9.0-rc1 2025-12-04T09:38:10.2205089Z * [new tag] v2.9.0-rc10 -> v2.9.0-rc10 2025-12-04T09:38:10.2206197Z * [new tag] v2.9.0-rc11 -> v2.9.0-rc11 2025-12-04T09:38:10.2207587Z * [new tag] v2.9.0-rc2 -> v2.9.0-rc2 2025-12-04T09:38:10.2208671Z * [new tag] v2.9.0-rc3 -> v2.9.0-rc3 2025-12-04T09:38:10.2209818Z * [new tag] v2.9.0-rc4 -> v2.9.0-rc4 2025-12-04T09:38:10.2210876Z * [new tag] v2.9.0-rc5 -> v2.9.0-rc5 2025-12-04T09:38:10.2212238Z * [new tag] v2.9.0-rc6 -> v2.9.0-rc6 2025-12-04T09:38:10.2213347Z * [new tag] v2.9.0-rc7 -> v2.9.0-rc7 2025-12-04T09:38:10.2214681Z * [new tag] v2.9.0-rc8 -> v2.9.0-rc8 2025-12-04T09:38:10.2215419Z * [new tag] v2.9.0-rc9 -> v2.9.0-rc9 2025-12-04T09:38:10.2216354Z * [new tag] v2.9.1 -> v2.9.1 2025-12-04T09:38:10.2217459Z * [new tag] v2.9.1-rc1 -> v2.9.1-rc1 2025-12-04T09:38:10.2218653Z * [new tag] v2.9.1-rc2 -> v2.9.1-rc2 2025-12-04T09:38:10.2220123Z * [new tag] viable/strict/1759343184 -> viable/strict/1759343184 2025-12-04T09:38:10.2221327Z * [new tag] viable/strict/1759346540 -> viable/strict/1759346540 2025-12-04T09:38:10.2222389Z * [new tag] viable/strict/1759348181 -> viable/strict/1759348181 2025-12-04T09:38:10.2223375Z * [new tag] viable/strict/1759350324 -> viable/strict/1759350324 2025-12-04T09:38:10.2224360Z * [new tag] viable/strict/1759351793 -> viable/strict/1759351793 2025-12-04T09:38:10.2225445Z * [new tag] viable/strict/1759353844 -> viable/strict/1759353844 2025-12-04T09:38:10.2226446Z * [new tag] viable/strict/1759355374 -> viable/strict/1759355374 2025-12-04T09:38:10.2227331Z * [new tag] viable/strict/1759357472 -> viable/strict/1759357472 2025-12-04T09:38:10.2228388Z * [new tag] viable/strict/1759361002 -> viable/strict/1759361002 2025-12-04T09:38:10.2229672Z * [new tag] viable/strict/1759362585 -> viable/strict/1759362585 2025-12-04T09:38:10.2231028Z * [new tag] viable/strict/1759365359 -> viable/strict/1759365359 2025-12-04T09:38:10.2232660Z * [new tag] viable/strict/1759370089 -> viable/strict/1759370089 2025-12-04T09:38:10.2233735Z * [new tag] viable/strict/1759377554 -> viable/strict/1759377554 2025-12-04T09:38:10.2234780Z * [new tag] viable/strict/1759379133 -> viable/strict/1759379133 2025-12-04T09:38:10.2235819Z * [new tag] viable/strict/1759389871 -> viable/strict/1759389871 2025-12-04T09:38:10.2236926Z * [new tag] viable/strict/1759393562 -> viable/strict/1759393562 2025-12-04T09:38:10.2238059Z * [new tag] viable/strict/1759395076 -> viable/strict/1759395076 2025-12-04T09:38:10.2239083Z * [new tag] viable/strict/1759398579 -> viable/strict/1759398579 2025-12-04T09:38:10.2240124Z * [new tag] viable/strict/1759404142 -> viable/strict/1759404142 2025-12-04T09:38:10.2241153Z * [new tag] viable/strict/1759405773 -> viable/strict/1759405773 2025-12-04T09:38:10.2242188Z * [new tag] viable/strict/1759408041 -> viable/strict/1759408041 2025-12-04T09:38:10.2243205Z * [new tag] viable/strict/1759411593 -> viable/strict/1759411593 2025-12-04T09:38:10.2244095Z * [new tag] viable/strict/1759427395 -> viable/strict/1759427395 2025-12-04T09:38:10.2245240Z * [new tag] viable/strict/1759434582 -> viable/strict/1759434582 2025-12-04T09:38:10.2246337Z * [new tag] viable/strict/1759436720 -> viable/strict/1759436720 2025-12-04T09:38:10.2247426Z * [new tag] viable/strict/1759440219 -> viable/strict/1759440219 2025-12-04T09:38:10.2248303Z * [new tag] viable/strict/1759441948 -> viable/strict/1759441948 2025-12-04T09:38:10.2249407Z * [new tag] viable/strict/1759443860 -> viable/strict/1759443860 2025-12-04T09:38:10.2250443Z * [new tag] viable/strict/1759445377 -> viable/strict/1759445377 2025-12-04T09:38:10.2251520Z * [new tag] viable/strict/1759447415 -> viable/strict/1759447415 2025-12-04T09:38:10.2252548Z * [new tag] viable/strict/1759451750 -> viable/strict/1759451750 2025-12-04T09:38:10.2253623Z * [new tag] viable/strict/1759453910 -> viable/strict/1759453910 2025-12-04T09:38:10.2254702Z * [new tag] viable/strict/1759456483 -> viable/strict/1759456483 2025-12-04T09:38:10.2255890Z * [new tag] viable/strict/1759459279 -> viable/strict/1759459279 2025-12-04T09:38:10.2256968Z * [new tag] viable/strict/1759460742 -> viable/strict/1759460742 2025-12-04T09:38:10.2258016Z * [new tag] viable/strict/1759462025 -> viable/strict/1759462025 2025-12-04T09:38:10.2259131Z * [new tag] viable/strict/1759469086 -> viable/strict/1759469086 2025-12-04T09:38:10.2260025Z * [new tag] viable/strict/1759470581 -> viable/strict/1759470581 2025-12-04T09:38:10.2261178Z * [new tag] viable/strict/1759472786 -> viable/strict/1759472786 2025-12-04T09:38:10.2262266Z * [new tag] viable/strict/1759476294 -> viable/strict/1759476294 2025-12-04T09:38:10.2263301Z * [new tag] viable/strict/1759479963 -> viable/strict/1759479963 2025-12-04T09:38:10.2264328Z * [new tag] viable/strict/1759492177 -> viable/strict/1759492177 2025-12-04T09:38:10.2265374Z * [new tag] viable/strict/1759519278 -> viable/strict/1759519278 2025-12-04T09:38:10.2266342Z * [new tag] viable/strict/1759524580 -> viable/strict/1759524580 2025-12-04T09:38:10.2267407Z * [new tag] viable/strict/1759528193 -> viable/strict/1759528193 2025-12-04T09:38:10.2268654Z * [new tag] viable/strict/1759533797 -> viable/strict/1759533797 2025-12-04T09:38:10.2269721Z * [new tag] viable/strict/1759542780 -> viable/strict/1759542780 2025-12-04T09:38:10.2270789Z * [new tag] viable/strict/1759549779 -> viable/strict/1759549779 2025-12-04T09:38:10.2271833Z * [new tag] viable/strict/1759555455 -> viable/strict/1759555455 2025-12-04T09:38:10.2272898Z * [new tag] viable/strict/1759559176 -> viable/strict/1759559176 2025-12-04T09:38:10.2273956Z * [new tag] viable/strict/1759560629 -> viable/strict/1759560629 2025-12-04T09:38:10.2274936Z * [new tag] viable/strict/1759569848 -> viable/strict/1759569848 2025-12-04T09:38:10.2276255Z * [new tag] viable/strict/1759571382 -> viable/strict/1759571382 2025-12-04T09:38:10.2277216Z * [new tag] viable/strict/1759573474 -> viable/strict/1759573474 2025-12-04T09:38:10.2278254Z * [new tag] viable/strict/1759618187 -> viable/strict/1759618187 2025-12-04T09:38:10.2279270Z * [new tag] viable/strict/1759626742 -> viable/strict/1759626742 2025-12-04T09:38:10.2280396Z * [new tag] viable/strict/1759632427 -> viable/strict/1759632427 2025-12-04T09:38:10.2281278Z * [new tag] viable/strict/1759634971 -> viable/strict/1759634971 2025-12-04T09:38:10.2282459Z * [new tag] viable/strict/1759661382 -> viable/strict/1759661382 2025-12-04T09:38:10.2283584Z * [new tag] viable/strict/1759663294 -> viable/strict/1759663294 2025-12-04T09:38:10.2284340Z * [new tag] viable/strict/1759708178 -> viable/strict/1759708178 2025-12-04T09:38:10.2285560Z * [new tag] viable/strict/1759715695 -> viable/strict/1759715695 2025-12-04T09:38:10.2286397Z * [new tag] viable/strict/1759728293 -> viable/strict/1759728293 2025-12-04T09:38:10.2287560Z * [new tag] viable/strict/1759735513 -> viable/strict/1759735513 2025-12-04T09:38:10.2288626Z * [new tag] viable/strict/1759739177 -> viable/strict/1759739177 2025-12-04T09:38:10.2289847Z * [new tag] viable/strict/1759758635 -> viable/strict/1759758635 2025-12-04T09:38:10.2290882Z * [new tag] viable/strict/1759765784 -> viable/strict/1759765784 2025-12-04T09:38:10.2291910Z * [new tag] viable/strict/1759767948 -> viable/strict/1759767948 2025-12-04T09:38:10.2292979Z * [new tag] viable/strict/1759771461 -> viable/strict/1759771461 2025-12-04T09:38:10.2293748Z * [new tag] viable/strict/1759776706 -> viable/strict/1759776706 2025-12-04T09:38:10.2294941Z * [new tag] viable/strict/1759782317 -> viable/strict/1759782317 2025-12-04T09:38:10.2296097Z * [new tag] viable/strict/1759783777 -> viable/strict/1759783777 2025-12-04T09:38:10.2297152Z * [new tag] viable/strict/1759785815 -> viable/strict/1759785815 2025-12-04T09:38:10.2298256Z * [new tag] viable/strict/1759789459 -> viable/strict/1759789459 2025-12-04T09:38:10.2299278Z * [new tag] viable/strict/1759790974 -> viable/strict/1759790974 2025-12-04T09:38:10.2300655Z * [new tag] viable/strict/1759794583 -> viable/strict/1759794583 2025-12-04T09:38:10.2301807Z * [new tag] viable/strict/1759797408 -> viable/strict/1759797408 2025-12-04T09:38:10.2302847Z * [new tag] viable/strict/1759799518 -> viable/strict/1759799518 2025-12-04T09:38:10.2303892Z * [new tag] viable/strict/1759804909 -> viable/strict/1759804909 2025-12-04T09:38:10.2304947Z * [new tag] viable/strict/1759807643 -> viable/strict/1759807643 2025-12-04T09:38:10.2305986Z * [new tag] viable/strict/1759809089 -> viable/strict/1759809089 2025-12-04T09:38:10.2307004Z * [new tag] viable/strict/1759811145 -> viable/strict/1759811145 2025-12-04T09:38:10.2308102Z * [new tag] viable/strict/1759812581 -> viable/strict/1759812581 2025-12-04T09:38:10.2309201Z * [new tag] viable/strict/1759814683 -> viable/strict/1759814683 2025-12-04T09:38:10.2310245Z * [new tag] viable/strict/1759821889 -> viable/strict/1759821889 2025-12-04T09:38:10.2311319Z * [new tag] viable/strict/1759823376 -> viable/strict/1759823376 2025-12-04T09:38:10.2312369Z * [new tag] viable/strict/1759827107 -> viable/strict/1759827107 2025-12-04T09:38:10.2313393Z * [new tag] viable/strict/1759830577 -> viable/strict/1759830577 2025-12-04T09:38:10.2314499Z * [new tag] viable/strict/1759832720 -> viable/strict/1759832720 2025-12-04T09:38:10.2315494Z * [new tag] viable/strict/1759842063 -> viable/strict/1759842063 2025-12-04T09:38:10.2316490Z * [new tag] viable/strict/1759847121 -> viable/strict/1759847121 2025-12-04T09:38:10.2317885Z * [new tag] viable/strict/1759850721 -> viable/strict/1759850721 2025-12-04T09:38:10.2318918Z * [new tag] viable/strict/1759857870 -> viable/strict/1759857870 2025-12-04T09:38:10.2320006Z * [new tag] viable/strict/1759863143 -> viable/strict/1759863143 2025-12-04T09:38:10.2321041Z * [new tag] viable/strict/1759875874 -> viable/strict/1759875874 2025-12-04T09:38:10.2321813Z * [new tag] viable/strict/1759877385 -> viable/strict/1759877385 2025-12-04T09:38:10.2322944Z * [new tag] viable/strict/1759883801 -> viable/strict/1759883801 2025-12-04T09:38:10.2324161Z * [new tag] viable/strict/1759885922 -> viable/strict/1759885922 2025-12-04T09:38:10.2325012Z * [new tag] viable/strict/1759888488 -> viable/strict/1759888488 2025-12-04T09:38:10.2326129Z * [new tag] viable/strict/1759895471 -> viable/strict/1759895471 2025-12-04T09:38:10.2327086Z * [new tag] viable/strict/1759904803 -> viable/strict/1759904803 2025-12-04T09:38:10.2328418Z * [new tag] viable/strict/1759908300 -> viable/strict/1759908300 2025-12-04T09:38:10.2329506Z * [new tag] viable/strict/1759915520 -> viable/strict/1759915520 2025-12-04T09:38:10.2330665Z * [new tag] viable/strict/1759916978 -> viable/strict/1759916978 2025-12-04T09:38:10.2331506Z * [new tag] viable/strict/1759930024 -> viable/strict/1759930024 2025-12-04T09:38:10.2332679Z * [new tag] viable/strict/1759948122 -> viable/strict/1759948122 2025-12-04T09:38:10.2333752Z * [new tag] viable/strict/1759952983 -> viable/strict/1759952983 2025-12-04T09:38:10.2334897Z * [new tag] viable/strict/1759955121 -> viable/strict/1759955121 2025-12-04T09:38:10.2335889Z * [new tag] viable/strict/1759962298 -> viable/strict/1759962298 2025-12-04T09:38:10.2336868Z * [new tag] viable/strict/1759965837 -> viable/strict/1759965837 2025-12-04T09:38:10.2338070Z * [new tag] viable/strict/1759970213 -> viable/strict/1759970213 2025-12-04T09:38:10.2339069Z * [new tag] viable/strict/1759974894 -> viable/strict/1759974894 2025-12-04T09:38:10.2340137Z * [new tag] viable/strict/1759977763 -> viable/strict/1759977763 2025-12-04T09:38:10.2341321Z * [new tag] viable/strict/1759979241 -> viable/strict/1759979241 2025-12-04T09:38:10.2342397Z * [new tag] viable/strict/1759985417 -> viable/strict/1759985417 2025-12-04T09:38:10.2343479Z * [new tag] viable/strict/1759987490 -> viable/strict/1759987490 2025-12-04T09:38:10.2344515Z * [new tag] viable/strict/1759996180 -> viable/strict/1759996180 2025-12-04T09:38:10.2345656Z * [new tag] viable/strict/1760065682 -> viable/strict/1760065682 2025-12-04T09:38:10.2346789Z * [new tag] viable/strict/1760066894 -> viable/strict/1760066894 2025-12-04T09:38:10.2347834Z * [new tag] viable/strict/1760070345 -> viable/strict/1760070345 2025-12-04T09:38:10.2348891Z * [new tag] viable/strict/1760089782 -> viable/strict/1760089782 2025-12-04T09:38:10.2349903Z * [new tag] viable/strict/1760091921 -> viable/strict/1760091921 2025-12-04T09:38:10.2350980Z * [new tag] viable/strict/1760127924 -> viable/strict/1760127924 2025-12-04T09:38:10.2352003Z * [new tag] viable/strict/1760129489 -> viable/strict/1760129489 2025-12-04T09:38:10.2353167Z * [new tag] viable/strict/1760132980 -> viable/strict/1760132980 2025-12-04T09:38:10.2354289Z * [new tag] viable/strict/1760135060 -> viable/strict/1760135060 2025-12-04T09:38:10.2355356Z * [new tag] viable/strict/1760215782 -> viable/strict/1760215782 2025-12-04T09:38:10.2356430Z * [new tag] viable/strict/1760273849 -> viable/strict/1760273849 2025-12-04T09:38:10.2357410Z * [new tag] viable/strict/1760275517 -> viable/strict/1760275517 2025-12-04T09:38:10.2358581Z * [new tag] viable/strict/1760276979 -> viable/strict/1760276979 2025-12-04T09:38:10.2359745Z * [new tag] viable/strict/1760279007 -> viable/strict/1760279007 2025-12-04T09:38:10.2360504Z * [new tag] viable/strict/1760286328 -> viable/strict/1760286328 2025-12-04T09:38:10.2361394Z * [new tag] viable/strict/1760493304 -> viable/strict/1760493304 2025-12-04T09:38:10.2362609Z * [new tag] viable/strict/1760496298 -> viable/strict/1760496298 2025-12-04T09:38:10.2363500Z * [new tag] viable/strict/1760518396 -> viable/strict/1760518396 2025-12-04T09:38:10.2364617Z * [new tag] viable/strict/1760534864 -> viable/strict/1760534864 2025-12-04T09:38:10.2365683Z * [new tag] viable/strict/1760549062 -> viable/strict/1760549062 2025-12-04T09:38:10.2366851Z * [new tag] viable/strict/1760552799 -> viable/strict/1760552799 2025-12-04T09:38:10.2367968Z * [new tag] viable/strict/1760554355 -> viable/strict/1760554355 2025-12-04T09:38:10.2369519Z * [new tag] viable/strict/1760556275 -> viable/strict/1760556275 2025-12-04T09:38:10.2370574Z * [new tag] viable/strict/1760564979 -> viable/strict/1760564979 2025-12-04T09:38:10.2371714Z * [new tag] viable/strict/1760567049 -> viable/strict/1760567049 2025-12-04T09:38:10.2373227Z * [new tag] viable/strict/1760568585 -> viable/strict/1760568585 2025-12-04T09:38:10.2374260Z * [new tag] viable/strict/1760570630 -> viable/strict/1760570630 2025-12-04T09:38:10.2375336Z * [new tag] viable/strict/1760572180 -> viable/strict/1760572180 2025-12-04T09:38:10.2376374Z * [new tag] viable/strict/1760575094 -> viable/strict/1760575094 2025-12-04T09:38:10.2377580Z * [new tag] viable/strict/1760579709 -> viable/strict/1760579709 2025-12-04T09:38:10.2379121Z * [new tag] viable/strict/1760582614 -> viable/strict/1760582614 2025-12-04T09:38:10.2380186Z * [new tag] viable/strict/1760586815 -> viable/strict/1760586815 2025-12-04T09:38:10.2381043Z * [new tag] viable/strict/1760588829 -> viable/strict/1760588829 2025-12-04T09:38:10.2382240Z * [new tag] viable/strict/1760590200 -> viable/strict/1760590200 2025-12-04T09:38:10.2383418Z * [new tag] viable/strict/1760592311 -> viable/strict/1760592311 2025-12-04T09:38:10.2384436Z * [new tag] viable/strict/1760619733 -> viable/strict/1760619733 2025-12-04T09:38:10.2385245Z * [new tag] viable/strict/1760628335 -> viable/strict/1760628335 2025-12-04T09:38:10.2386353Z * [new tag] viable/strict/1760635490 -> viable/strict/1760635490 2025-12-04T09:38:10.2387375Z * [new tag] viable/strict/1760640743 -> viable/strict/1760640743 2025-12-04T09:38:10.2388418Z * [new tag] viable/strict/1760642528 -> viable/strict/1760642528 2025-12-04T09:38:10.2389429Z * [new tag] viable/strict/1760646330 -> viable/strict/1760646330 2025-12-04T09:38:10.2390440Z * [new tag] viable/strict/1760666101 -> viable/strict/1760666101 2025-12-04T09:38:10.2391515Z * [new tag] viable/strict/1760668990 -> viable/strict/1760668990 2025-12-04T09:38:10.2392565Z * [new tag] viable/strict/1760670600 -> viable/strict/1760670600 2025-12-04T09:38:10.2393690Z * [new tag] viable/strict/1760671704 -> viable/strict/1760671704 2025-12-04T09:38:10.2394730Z * [new tag] viable/strict/1760673121 -> viable/strict/1760673121 2025-12-04T09:38:10.2395768Z * [new tag] viable/strict/1760675352 -> viable/strict/1760675352 2025-12-04T09:38:10.2396853Z * [new tag] viable/strict/1760696731 -> viable/strict/1760696731 2025-12-04T09:38:10.2399559Z * [new tag] viable/strict/1760723515 -> viable/strict/1760723515 2025-12-04T09:38:10.2400594Z * [new tag] viable/strict/1760727234 -> viable/strict/1760727234 2025-12-04T09:38:10.2401683Z * [new tag] viable/strict/1760730578 -> viable/strict/1760730578 2025-12-04T09:38:10.2402720Z * [new tag] viable/strict/1760732726 -> viable/strict/1760732726 2025-12-04T09:38:10.2403874Z * [new tag] viable/strict/1760734180 -> viable/strict/1760734180 2025-12-04T09:38:10.2404852Z * [new tag] viable/strict/1760736251 -> viable/strict/1760736251 2025-12-04T09:38:10.2405957Z * [new tag] viable/strict/1760737772 -> viable/strict/1760737772 2025-12-04T09:38:10.2407036Z * [new tag] viable/strict/1760758005 -> viable/strict/1760758005 2025-12-04T09:38:10.2408049Z * [new tag] viable/strict/1760761532 -> viable/strict/1760761532 2025-12-04T09:38:10.2409106Z * [new tag] viable/strict/1760802581 -> viable/strict/1760802581 2025-12-04T09:38:10.2410128Z * [new tag] viable/strict/1760827772 -> viable/strict/1760827772 2025-12-04T09:38:10.2411232Z * [new tag] viable/strict/1760834524 -> viable/strict/1760834524 2025-12-04T09:38:10.2412337Z * [new tag] viable/strict/1760845009 -> viable/strict/1760845009 2025-12-04T09:38:10.2413401Z * [new tag] viable/strict/1760876836 -> viable/strict/1760876836 2025-12-04T09:38:10.2414438Z * [new tag] viable/strict/1760880329 -> viable/strict/1760880329 2025-12-04T09:38:10.2415461Z * [new tag] viable/strict/1760888987 -> viable/strict/1760888987 2025-12-04T09:38:10.2416664Z * [new tag] viable/strict/1760912664 -> viable/strict/1760912664 2025-12-04T09:38:10.2417410Z * [new tag] viable/strict/1760925321 -> viable/strict/1760925321 2025-12-04T09:38:10.2418565Z * [new tag] viable/strict/1760931488 -> viable/strict/1760931488 2025-12-04T09:38:10.2419652Z * [new tag] viable/strict/1760932693 -> viable/strict/1760932693 2025-12-04T09:38:10.2420697Z * [new tag] viable/strict/1761004184 -> viable/strict/1761004184 2025-12-04T09:38:10.2421863Z * [new tag] viable/strict/1761014748 -> viable/strict/1761014748 2025-12-04T09:38:10.2422914Z * [new tag] viable/strict/1761017491 -> viable/strict/1761017491 2025-12-04T09:38:10.2423962Z * [new tag] viable/strict/1761018806 -> viable/strict/1761018806 2025-12-04T09:38:10.2425120Z * [new tag] viable/strict/1761020754 -> viable/strict/1761020754 2025-12-04T09:38:10.2426113Z * [new tag] viable/strict/1761024303 -> viable/strict/1761024303 2025-12-04T09:38:10.2427147Z * [new tag] viable/strict/1761029582 -> viable/strict/1761029582 2025-12-04T09:38:10.2428166Z * [new tag] viable/strict/1761031535 -> viable/strict/1761031535 2025-12-04T09:38:10.2429350Z * [new tag] viable/strict/1761035196 -> viable/strict/1761035196 2025-12-04T09:38:10.2430503Z * [new tag] viable/strict/1761045825 -> viable/strict/1761045825 2025-12-04T09:38:10.2431880Z * [new tag] viable/strict/1761054796 -> viable/strict/1761054796 2025-12-04T09:38:10.2432878Z * [new tag] viable/strict/1761060314 -> viable/strict/1761060314 2025-12-04T09:38:10.2433987Z * [new tag] viable/strict/1761071198 -> viable/strict/1761071198 2025-12-04T09:38:10.2435026Z * [new tag] viable/strict/1761074628 -> viable/strict/1761074628 2025-12-04T09:38:10.2436112Z * [new tag] viable/strict/1761078351 -> viable/strict/1761078351 2025-12-04T09:38:10.2437153Z * [new tag] viable/strict/1761079822 -> viable/strict/1761079822 2025-12-04T09:38:10.2438435Z * [new tag] viable/strict/1761081873 -> viable/strict/1761081873 2025-12-04T09:38:10.2439510Z * [new tag] viable/strict/1761083392 -> viable/strict/1761083392 2025-12-04T09:38:10.2441072Z * [new tag] viable/strict/1761085465 -> viable/strict/1761085465 2025-12-04T09:38:10.2442223Z * [new tag] viable/strict/1761089099 -> viable/strict/1761089099 2025-12-04T09:38:10.2443360Z * [new tag] viable/strict/1761095535 -> viable/strict/1761095535 2025-12-04T09:38:10.2444172Z * [new tag] viable/strict/1761098119 -> viable/strict/1761098119 2025-12-04T09:38:10.2445891Z * [new tag] viable/strict/1761101330 -> viable/strict/1761101330 2025-12-04T09:38:10.2446967Z * [new tag] viable/strict/1761114425 -> viable/strict/1761114425 2025-12-04T09:38:10.2448030Z * [new tag] viable/strict/1761116036 -> viable/strict/1761116036 2025-12-04T09:38:10.2449048Z * [new tag] viable/strict/1761119379 -> viable/strict/1761119379 2025-12-04T09:38:10.2450102Z * [new tag] viable/strict/1761121601 -> viable/strict/1761121601 2025-12-04T09:38:10.2451131Z * [new tag] viable/strict/1761123234 -> viable/strict/1761123234 2025-12-04T09:38:10.2452179Z * [new tag] viable/strict/1761126621 -> viable/strict/1761126621 2025-12-04T09:38:10.2453223Z * [new tag] viable/strict/1761132259 -> viable/strict/1761132259 2025-12-04T09:38:10.2454325Z * [new tag] viable/strict/1761146746 -> viable/strict/1761146746 2025-12-04T09:38:10.2455381Z * [new tag] viable/strict/1761164752 -> viable/strict/1761164752 2025-12-04T09:38:10.2456315Z * [new tag] viable/strict/1761166198 -> viable/strict/1761166198 2025-12-04T09:38:10.2457547Z * [new tag] viable/strict/1761175424 -> viable/strict/1761175424 2025-12-04T09:38:10.2458571Z * [new tag] viable/strict/1761176983 -> viable/strict/1761176983 2025-12-04T09:38:10.2459751Z * [new tag] viable/strict/1761179891 -> viable/strict/1761179891 2025-12-04T09:38:10.2460955Z * [new tag] viable/strict/1761181930 -> viable/strict/1761181930 2025-12-04T09:38:10.2462083Z * [new tag] viable/strict/1761184516 -> viable/strict/1761184516 2025-12-04T09:38:10.2463194Z * [new tag] viable/strict/1761190179 -> viable/strict/1761190179 2025-12-04T09:38:10.2464210Z * [new tag] viable/strict/1761193558 -> viable/strict/1761193558 2025-12-04T09:38:10.2465348Z * [new tag] viable/strict/1761207990 -> viable/strict/1761207990 2025-12-04T09:38:10.2466413Z * [new tag] viable/strict/1761229539 -> viable/strict/1761229539 2025-12-04T09:38:10.2467711Z * [new tag] viable/strict/1761244031 -> viable/strict/1761244031 2025-12-04T09:38:10.2468748Z * [new tag] viable/strict/1761248986 -> viable/strict/1761248986 2025-12-04T09:38:10.2469780Z * [new tag] viable/strict/1761259791 -> viable/strict/1761259791 2025-12-04T09:38:10.2470819Z * [new tag] viable/strict/1761266139 -> viable/strict/1761266139 2025-12-04T09:38:10.2471935Z * [new tag] viable/strict/1761268316 -> viable/strict/1761268316 2025-12-04T09:38:10.2472954Z * [new tag] viable/strict/1761273805 -> viable/strict/1761273805 2025-12-04T09:38:10.2474006Z * [new tag] viable/strict/1761275261 -> viable/strict/1761275261 2025-12-04T09:38:10.2475067Z * [new tag] viable/strict/1761277913 -> viable/strict/1761277913 2025-12-04T09:38:10.2476242Z * [new tag] viable/strict/1761290701 -> viable/strict/1761290701 2025-12-04T09:38:10.2477332Z * [new tag] viable/strict/1761294396 -> viable/strict/1761294396 2025-12-04T09:38:10.2478385Z * [new tag] viable/strict/1761303047 -> viable/strict/1761303047 2025-12-04T09:38:10.2479471Z * [new tag] viable/strict/1761335388 -> viable/strict/1761335388 2025-12-04T09:38:10.2480492Z * [new tag] viable/strict/1761337551 -> viable/strict/1761337551 2025-12-04T09:38:10.2481731Z * [new tag] viable/strict/1761339007 -> viable/strict/1761339007 2025-12-04T09:38:10.2482733Z * [new tag] viable/strict/1761341050 -> viable/strict/1761341050 2025-12-04T09:38:10.2483778Z * [new tag] viable/strict/1761346188 -> viable/strict/1761346188 2025-12-04T09:38:10.2484922Z * [new tag] viable/strict/1761349792 -> viable/strict/1761349792 2025-12-04T09:38:10.2486062Z * [new tag] viable/strict/1761352620 -> viable/strict/1761352620 2025-12-04T09:38:10.2486924Z * [new tag] viable/strict/1761354730 -> viable/strict/1761354730 2025-12-04T09:38:10.2488094Z * [new tag] viable/strict/1761357298 -> viable/strict/1761357298 2025-12-04T09:38:10.2489170Z * [new tag] viable/strict/1761360201 -> viable/strict/1761360201 2025-12-04T09:38:10.2490257Z * [new tag] viable/strict/1761361753 -> viable/strict/1761361753 2025-12-04T09:38:10.2491284Z * [new tag] viable/strict/1761364351 -> viable/strict/1761364351 2025-12-04T09:38:10.2492344Z * [new tag] viable/strict/1761366338 -> viable/strict/1761366338 2025-12-04T09:38:10.2493552Z * [new tag] viable/strict/1761367802 -> viable/strict/1761367802 2025-12-04T09:38:10.2494659Z * [new tag] viable/strict/1761369889 -> viable/strict/1761369889 2025-12-04T09:38:10.2495710Z * [new tag] viable/strict/1761371385 -> viable/strict/1761371385 2025-12-04T09:38:10.2496822Z * [new tag] viable/strict/1761373581 -> viable/strict/1761373581 2025-12-04T09:38:10.2497999Z * [new tag] viable/strict/1761375054 -> viable/strict/1761375054 2025-12-04T09:38:10.2499156Z * [new tag] viable/strict/1761421785 -> viable/strict/1761421785 2025-12-04T09:38:10.2500355Z * [new tag] viable/strict/1761434614 -> viable/strict/1761434614 2025-12-04T09:38:10.2502032Z * [new tag] viable/strict/1761439254 -> viable/strict/1761439254 2025-12-04T09:38:10.2503112Z * [new tag] viable/strict/1761454187 -> viable/strict/1761454187 2025-12-04T09:38:10.2504271Z * [new tag] viable/strict/1761459991 -> viable/strict/1761459991 2025-12-04T09:38:10.2505481Z * [new tag] viable/strict/1761470668 -> viable/strict/1761470668 2025-12-04T09:38:10.2507017Z * [new tag] viable/strict/1761472188 -> viable/strict/1761472188 2025-12-04T09:38:10.2508131Z * [new tag] viable/strict/1761503178 -> viable/strict/1761503178 2025-12-04T09:38:10.2509233Z * [new tag] viable/strict/1761517492 -> viable/strict/1761517492 2025-12-04T09:38:10.2510262Z * [new tag] viable/strict/1761518981 -> viable/strict/1761518981 2025-12-04T09:38:10.2511409Z * [new tag] viable/strict/1761533609 -> viable/strict/1761533609 2025-12-04T09:38:10.2512735Z * [new tag] viable/strict/1761546438 -> viable/strict/1761546438 2025-12-04T09:38:10.2513997Z * [new tag] viable/strict/1761548133 -> viable/strict/1761548133 2025-12-04T09:38:10.2515337Z * [new tag] viable/strict/1761555186 -> viable/strict/1761555186 2025-12-04T09:38:10.2516475Z * [new tag] viable/strict/1761557178 -> viable/strict/1761557178 2025-12-04T09:38:10.2517551Z * [new tag] viable/strict/1761560772 -> viable/strict/1761560772 2025-12-04T09:38:10.2518667Z * [new tag] viable/strict/1761562266 -> viable/strict/1761562266 2025-12-04T09:38:10.2519783Z * [new tag] viable/strict/1761564260 -> viable/strict/1761564260 2025-12-04T09:38:10.2520820Z * [new tag] viable/strict/1761568072 -> viable/strict/1761568072 2025-12-04T09:38:10.2521882Z * [new tag] viable/strict/1761571683 -> viable/strict/1761571683 2025-12-04T09:38:10.2522781Z * [new tag] viable/strict/1761580199 -> viable/strict/1761580199 2025-12-04T09:38:10.2523938Z * [new tag] viable/strict/1761587383 -> viable/strict/1761587383 2025-12-04T09:38:10.2525084Z * [new tag] viable/strict/1761591165 -> viable/strict/1761591165 2025-12-04T09:38:10.2526177Z * [new tag] viable/strict/1761594575 -> viable/strict/1761594575 2025-12-04T09:38:10.2527243Z * [new tag] viable/strict/1761596710 -> viable/strict/1761596710 2025-12-04T09:38:10.2528276Z * [new tag] viable/strict/1761598189 -> viable/strict/1761598189 2025-12-04T09:38:10.2529352Z * [new tag] viable/strict/1761600254 -> viable/strict/1761600254 2025-12-04T09:38:10.2530386Z * [new tag] viable/strict/1761603879 -> viable/strict/1761603879 2025-12-04T09:38:10.2535782Z * [new tag] viable/strict/1761605429 -> viable/strict/1761605429 2025-12-04T09:38:10.2537176Z * [new tag] viable/strict/1761607468 -> viable/strict/1761607468 2025-12-04T09:38:10.2538279Z * [new tag] viable/strict/1761608983 -> viable/strict/1761608983 2025-12-04T09:38:10.2539413Z * [new tag] viable/strict/1761611846 -> viable/strict/1761611846 2025-12-04T09:38:10.2540617Z * [new tag] viable/strict/1761613922 -> viable/strict/1761613922 2025-12-04T09:38:10.2541800Z * [new tag] viable/strict/1761616504 -> viable/strict/1761616504 2025-12-04T09:38:10.2542579Z * [new tag] viable/strict/1761619599 -> viable/strict/1761619599 2025-12-04T09:38:10.2543753Z * [new tag] viable/strict/1761686693 -> viable/strict/1761686693 2025-12-04T09:38:10.2544861Z * [new tag] viable/strict/1761688179 -> viable/strict/1761688179 2025-12-04T09:38:10.2545908Z * [new tag] viable/strict/1761691973 -> viable/strict/1761691973 2025-12-04T09:38:10.2547117Z * [new tag] viable/strict/1761693884 -> viable/strict/1761693884 2025-12-04T09:38:10.2548207Z * [new tag] viable/strict/1761695389 -> viable/strict/1761695389 2025-12-04T09:38:10.2549331Z * [new tag] viable/strict/1761698408 -> viable/strict/1761698408 2025-12-04T09:38:10.2550373Z * [new tag] viable/strict/1761702931 -> viable/strict/1761702931 2025-12-04T09:38:10.2551460Z * [new tag] viable/strict/1761706307 -> viable/strict/1761706307 2025-12-04T09:38:10.2552579Z * [new tag] viable/strict/1761709065 -> viable/strict/1761709065 2025-12-04T09:38:10.2553758Z * [new tag] viable/strict/1761710285 -> viable/strict/1761710285 2025-12-04T09:38:10.2554847Z * [new tag] viable/strict/1761711983 -> viable/strict/1761711983 2025-12-04T09:38:10.2555971Z * [new tag] viable/strict/1761713514 -> viable/strict/1761713514 2025-12-04T09:38:10.2557225Z * [new tag] viable/strict/1761715523 -> viable/strict/1761715523 2025-12-04T09:38:10.2558335Z * [new tag] viable/strict/1761727973 -> viable/strict/1761727973 2025-12-04T09:38:10.2559460Z * [new tag] viable/strict/1761751558 -> viable/strict/1761751558 2025-12-04T09:38:10.2560679Z * [new tag] viable/strict/1761755187 -> viable/strict/1761755187 2025-12-04T09:38:10.2561815Z * [new tag] viable/strict/1761756826 -> viable/strict/1761756826 2025-12-04T09:38:10.2562945Z * [new tag] viable/strict/1761769551 -> viable/strict/1761769551 2025-12-04T09:38:10.2564108Z * [new tag] viable/strict/1761771032 -> viable/strict/1761771032 2025-12-04T09:38:10.2565080Z * [new tag] viable/strict/1761773101 -> viable/strict/1761773101 2025-12-04T09:38:10.2566283Z * [new tag] viable/strict/1761781792 -> viable/strict/1761781792 2025-12-04T09:38:10.2567486Z * [new tag] viable/strict/1761784788 -> viable/strict/1761784788 2025-12-04T09:38:10.2568533Z * [new tag] viable/strict/1761786740 -> viable/strict/1761786740 2025-12-04T09:38:10.2569621Z * [new tag] viable/strict/1761789332 -> viable/strict/1761789332 2025-12-04T09:38:10.2571266Z * [new tag] viable/strict/1761792569 -> viable/strict/1761792569 2025-12-04T09:38:10.2572358Z * [new tag] viable/strict/1761795289 -> viable/strict/1761795289 2025-12-04T09:38:10.2573466Z * [new tag] viable/strict/1761798345 -> viable/strict/1761798345 2025-12-04T09:38:10.2574616Z * [new tag] viable/strict/1761799827 -> viable/strict/1761799827 2025-12-04T09:38:10.2575772Z * [new tag] viable/strict/1761805604 -> viable/strict/1761805604 2025-12-04T09:38:10.2576867Z * [new tag] viable/strict/1761807202 -> viable/strict/1761807202 2025-12-04T09:38:10.2578116Z * [new tag] viable/strict/1761809094 -> viable/strict/1761809094 2025-12-04T09:38:10.2579233Z * [new tag] viable/strict/1761810576 -> viable/strict/1761810576 2025-12-04T09:38:10.2580351Z * [new tag] viable/strict/1761812771 -> viable/strict/1761812771 2025-12-04T09:38:10.2581598Z * [new tag] viable/strict/1761814363 -> viable/strict/1761814363 2025-12-04T09:38:10.2582674Z * [new tag] viable/strict/1761857410 -> viable/strict/1761857410 2025-12-04T09:38:10.2583776Z * [new tag] viable/strict/1761860985 -> viable/strict/1761860985 2025-12-04T09:38:10.2584888Z * [new tag] viable/strict/1761863094 -> viable/strict/1761863094 2025-12-04T09:38:10.2585994Z * [new tag] viable/strict/1761864590 -> viable/strict/1761864590 2025-12-04T09:38:10.2587099Z * [new tag] viable/strict/1761866675 -> viable/strict/1761866675 2025-12-04T09:38:10.2588390Z * [new tag] viable/strict/1761868178 -> viable/strict/1761868178 2025-12-04T09:38:10.2589974Z * [new tag] viable/strict/1761871111 -> viable/strict/1761871111 2025-12-04T09:38:10.2591119Z * [new tag] viable/strict/1761873126 -> viable/strict/1761873126 2025-12-04T09:38:10.2592232Z * [new tag] viable/strict/1761875714 -> viable/strict/1761875714 2025-12-04T09:38:10.2593377Z * [new tag] viable/strict/1761878924 -> viable/strict/1761878924 2025-12-04T09:38:10.2594503Z * [new tag] viable/strict/1761881727 -> viable/strict/1761881727 2025-12-04T09:38:10.2595597Z * [new tag] viable/strict/1761882959 -> viable/strict/1761882959 2025-12-04T09:38:10.2596666Z * [new tag] viable/strict/1761886268 -> viable/strict/1761886268 2025-12-04T09:38:10.2597786Z * [new tag] viable/strict/1761893641 -> viable/strict/1761893641 2025-12-04T09:38:10.2598923Z * [new tag] viable/strict/1761931517 -> viable/strict/1761931517 2025-12-04T09:38:10.2600003Z * [new tag] viable/strict/1761933080 -> viable/strict/1761933080 2025-12-04T09:38:10.2601101Z * [new tag] viable/strict/1761935217 -> viable/strict/1761935217 2025-12-04T09:38:10.2602252Z * [new tag] viable/strict/1761938533 -> viable/strict/1761938533 2025-12-04T09:38:10.2603430Z * [new tag] viable/strict/1761940184 -> viable/strict/1761940184 2025-12-04T09:38:10.2604536Z * [new tag] viable/strict/1761942338 -> viable/strict/1761942338 2025-12-04T09:38:10.2605614Z * [new tag] viable/strict/1761946100 -> viable/strict/1761946100 2025-12-04T09:38:10.2606711Z * [new tag] viable/strict/1761947374 -> viable/strict/1761947374 2025-12-04T09:38:10.2607818Z * [new tag] viable/strict/1761950978 -> viable/strict/1761950978 2025-12-04T09:38:10.2608984Z * [new tag] viable/strict/1761957727 -> viable/strict/1761957727 2025-12-04T09:38:10.2610014Z * [new tag] viable/strict/1761959532 -> viable/strict/1761959532 2025-12-04T09:38:10.2611205Z * [new tag] viable/strict/1761965366 -> viable/strict/1761965366 2025-12-04T09:38:10.2612437Z * [new tag] viable/strict/1761968066 -> viable/strict/1761968066 2025-12-04T09:38:10.2613536Z * [new tag] viable/strict/1761969322 -> viable/strict/1761969322 2025-12-04T09:38:10.2614741Z * [new tag] viable/strict/1761974723 -> viable/strict/1761974723 2025-12-04T09:38:10.2615935Z * [new tag] viable/strict/1761981837 -> viable/strict/1761981837 2025-12-04T09:38:10.2617057Z * [new tag] viable/strict/1761985546 -> viable/strict/1761985546 2025-12-04T09:38:10.2618281Z * [new tag] viable/strict/1761987030 -> viable/strict/1761987030 2025-12-04T09:38:10.2619435Z * [new tag] viable/strict/1762003554 -> viable/strict/1762003554 2025-12-04T09:38:10.2620625Z * [new tag] viable/strict/1762021560 -> viable/strict/1762021560 2025-12-04T09:38:10.2621842Z * [new tag] viable/strict/1762032190 -> viable/strict/1762032190 2025-12-04T09:38:10.2622966Z * [new tag] viable/strict/1762040981 -> viable/strict/1762040981 2025-12-04T09:38:10.2624073Z * [new tag] viable/strict/1762048525 -> viable/strict/1762048525 2025-12-04T09:38:10.2625240Z * [new tag] viable/strict/1762104223 -> viable/strict/1762104223 2025-12-04T09:38:10.2626299Z * [new tag] viable/strict/1762105778 -> viable/strict/1762105778 2025-12-04T09:38:10.2627422Z * [new tag] viable/strict/1762115109 -> viable/strict/1762115109 2025-12-04T09:38:10.2628529Z * [new tag] viable/strict/1762125840 -> viable/strict/1762125840 2025-12-04T09:38:10.2629408Z * [new tag] viable/strict/1762127377 -> viable/strict/1762127377 2025-12-04T09:38:10.2631027Z * [new tag] viable/strict/1762134925 -> viable/strict/1762134925 2025-12-04T09:38:10.2632205Z * [new tag] viable/strict/1762138338 -> viable/strict/1762138338 2025-12-04T09:38:10.2633322Z * [new tag] viable/strict/1762148993 -> viable/strict/1762148993 2025-12-04T09:38:10.2634477Z * [new tag] viable/strict/1762152871 -> viable/strict/1762152871 2025-12-04T09:38:10.2635591Z * [new tag] viable/strict/1762156183 -> viable/strict/1762156183 2025-12-04T09:38:10.2636698Z * [new tag] viable/strict/1762163457 -> viable/strict/1762163457 2025-12-04T09:38:10.2637793Z * [new tag] viable/strict/1762165569 -> viable/strict/1762165569 2025-12-04T09:38:10.2638936Z * [new tag] viable/strict/1762169035 -> viable/strict/1762169035 2025-12-04T09:38:10.2641801Z * [new tag] viable/strict/1762174936 -> viable/strict/1762174936 2025-12-04T09:38:10.2642048Z * [new tag] viable/strict/1762194412 -> viable/strict/1762194412 2025-12-04T09:38:10.2642687Z * [new tag] viable/strict/1762195876 -> viable/strict/1762195876 2025-12-04T09:38:10.2643358Z * [new tag] viable/strict/1762197788 -> viable/strict/1762197788 2025-12-04T09:38:10.2644508Z * [new tag] viable/strict/1762199389 -> viable/strict/1762199389 2025-12-04T09:38:10.2645878Z * [new tag] viable/strict/1762206585 -> viable/strict/1762206585 2025-12-04T09:38:10.2647065Z * [new tag] viable/strict/1762210184 -> viable/strict/1762210184 2025-12-04T09:38:10.2648081Z * [new tag] viable/strict/1762218736 -> viable/strict/1762218736 2025-12-04T09:38:10.2649248Z * [new tag] viable/strict/1762224529 -> viable/strict/1762224529 2025-12-04T09:38:10.2650536Z * [new tag] viable/strict/1762227253 -> viable/strict/1762227253 2025-12-04T09:38:10.2651381Z * [new tag] viable/strict/1762228515 -> viable/strict/1762228515 2025-12-04T09:38:10.2652698Z * [new tag] viable/strict/1762230349 -> viable/strict/1762230349 2025-12-04T09:38:10.2653835Z * [new tag] viable/strict/1762231859 -> viable/strict/1762231859 2025-12-04T09:38:10.2654923Z * [new tag] viable/strict/1762233925 -> viable/strict/1762233925 2025-12-04T09:38:10.2656289Z * [new tag] viable/strict/1762237630 -> viable/strict/1762237630 2025-12-04T09:38:10.2657284Z * [new tag] viable/strict/1762253522 -> viable/strict/1762253522 2025-12-04T09:38:10.2658481Z * [new tag] viable/strict/1762278588 -> viable/strict/1762278588 2025-12-04T09:38:10.2659613Z * [new tag] viable/strict/1762284203 -> viable/strict/1762284203 2025-12-04T09:38:10.2660718Z * [new tag] viable/strict/1762289446 -> viable/strict/1762289446 2025-12-04T09:38:10.2662034Z * [new tag] viable/strict/1762291515 -> viable/strict/1762291515 2025-12-04T09:38:10.2663572Z * [new tag] viable/strict/1762295100 -> viable/strict/1762295100 2025-12-04T09:38:10.2664462Z * [new tag] viable/strict/1762296590 -> viable/strict/1762296590 2025-12-04T09:38:10.2665536Z * [new tag] viable/strict/1762300179 -> viable/strict/1762300179 2025-12-04T09:38:10.2666362Z * [new tag] viable/strict/1762303207 -> viable/strict/1762303207 2025-12-04T09:38:10.2667605Z * [new tag] viable/strict/1762386584 -> viable/strict/1762386584 2025-12-04T09:38:10.2668721Z * [new tag] viable/strict/1762391537 -> viable/strict/1762391537 2025-12-04T09:38:10.2669663Z * [new tag] viable/strict/1762394119 -> viable/strict/1762394119 2025-12-04T09:38:10.2671218Z * [new tag] viable/strict/1762397437 -> viable/strict/1762397437 2025-12-04T09:38:10.2672347Z * [new tag] viable/strict/1762400256 -> viable/strict/1762400256 2025-12-04T09:38:10.2673456Z * [new tag] viable/strict/1762401469 -> viable/strict/1762401469 2025-12-04T09:38:10.2674775Z * [new tag] viable/strict/1762408195 -> viable/strict/1762408195 2025-12-04T09:38:10.2675932Z * [new tag] viable/strict/1762410411 -> viable/strict/1762410411 2025-12-04T09:38:10.2677031Z * [new tag] viable/strict/1762417613 -> viable/strict/1762417613 2025-12-04T09:38:10.2678135Z * [new tag] viable/strict/1762419198 -> viable/strict/1762419198 2025-12-04T09:38:10.2679265Z * [new tag] viable/strict/1762422656 -> viable/strict/1762422656 2025-12-04T09:38:10.2680829Z * [new tag] viable/strict/1762424746 -> viable/strict/1762424746 2025-12-04T09:38:10.2682027Z * [new tag] viable/strict/1762446386 -> viable/strict/1762446386 2025-12-04T09:38:10.2683121Z * [new tag] viable/strict/1762449912 -> viable/strict/1762449912 2025-12-04T09:38:10.2684255Z * [new tag] viable/strict/1762457031 -> viable/strict/1762457031 2025-12-04T09:38:10.2685369Z * [new tag] viable/strict/1762462441 -> viable/strict/1762462441 2025-12-04T09:38:10.2686569Z * [new tag] viable/strict/1762467909 -> viable/strict/1762467909 2025-12-04T09:38:10.2687796Z * [new tag] viable/strict/1762471493 -> viable/strict/1762471493 2025-12-04T09:38:10.2689047Z * [new tag] viable/strict/1762475990 -> viable/strict/1762475990 2025-12-04T09:38:10.2690283Z * [new tag] viable/strict/1762477933 -> viable/strict/1762477933 2025-12-04T09:38:10.2691446Z * [new tag] viable/strict/1762491053 -> viable/strict/1762491053 2025-12-04T09:38:10.2692656Z * [new tag] viable/strict/1762493118 -> viable/strict/1762493118 2025-12-04T09:38:10.2693694Z * [new tag] viable/strict/1762498442 -> viable/strict/1762498442 2025-12-04T09:38:10.2694817Z * [new tag] viable/strict/1762501778 -> viable/strict/1762501778 2025-12-04T09:38:10.2695994Z * [new tag] viable/strict/1762504001 -> viable/strict/1762504001 2025-12-04T09:38:10.2697197Z * [new tag] viable/strict/1762505583 -> viable/strict/1762505583 2025-12-04T09:38:10.2698428Z * [new tag] viable/strict/1762507523 -> viable/strict/1762507523 2025-12-04T09:38:10.2699595Z * [new tag] viable/strict/1762511140 -> viable/strict/1762511140 2025-12-04T09:38:10.2700938Z * [new tag] viable/strict/1762512632 -> viable/strict/1762512632 2025-12-04T09:38:10.2702194Z * [new tag] viable/strict/1762520467 -> viable/strict/1762520467 2025-12-04T09:38:10.2703321Z * [new tag] viable/strict/1762522016 -> viable/strict/1762522016 2025-12-04T09:38:10.2704438Z * [new tag] viable/strict/1762530591 -> viable/strict/1762530591 2025-12-04T09:38:10.2705553Z * [new tag] viable/strict/1762543405 -> viable/strict/1762543405 2025-12-04T09:38:10.2706441Z * [new tag] viable/strict/1762544998 -> viable/strict/1762544998 2025-12-04T09:38:10.2707632Z * [new tag] viable/strict/1762552182 -> viable/strict/1762552182 2025-12-04T09:38:10.2708772Z * [new tag] viable/strict/1762554297 -> viable/strict/1762554297 2025-12-04T09:38:10.2709632Z * [new tag] viable/strict/1762559381 -> viable/strict/1762559381 2025-12-04T09:38:10.2710941Z * [new tag] viable/strict/1762562222 -> viable/strict/1762562222 2025-12-04T09:38:10.2712047Z * [new tag] viable/strict/1762564319 -> viable/strict/1762564319 2025-12-04T09:38:10.2712927Z * [new tag] viable/strict/1762566904 -> viable/strict/1762566904 2025-12-04T09:38:10.2714125Z * [new tag] viable/strict/1762569781 -> viable/strict/1762569781 2025-12-04T09:38:10.2715214Z * [new tag] viable/strict/1762575940 -> viable/strict/1762575940 2025-12-04T09:38:10.2716388Z * [new tag] viable/strict/1762580974 -> viable/strict/1762580974 2025-12-04T09:38:10.2717597Z * [new tag] viable/strict/1762583185 -> viable/strict/1762583185 2025-12-04T09:38:10.2718684Z * [new tag] viable/strict/1762586647 -> viable/strict/1762586647 2025-12-04T09:38:10.2719793Z * [new tag] viable/strict/1762588183 -> viable/strict/1762588183 2025-12-04T09:38:10.2720903Z * [new tag] viable/strict/1762593886 -> viable/strict/1762593886 2025-12-04T09:38:10.2722078Z * [new tag] viable/strict/1762650743 -> viable/strict/1762650743 2025-12-04T09:38:10.2723224Z * [new tag] viable/strict/1762653328 -> viable/strict/1762653328 2025-12-04T09:38:10.2724337Z * [new tag] viable/strict/1762659342 -> viable/strict/1762659342 2025-12-04T09:38:10.2725636Z * [new tag] viable/strict/1762662360 -> viable/strict/1762662360 2025-12-04T09:38:10.2726757Z * [new tag] viable/strict/1762667377 -> viable/strict/1762667377 2025-12-04T09:38:10.2727846Z * [new tag] viable/strict/1762671090 -> viable/strict/1762671090 2025-12-04T09:38:10.2728953Z * [new tag] viable/strict/1762680284 -> viable/strict/1762680284 2025-12-04T09:38:10.2730088Z * [new tag] viable/strict/1762683900 -> viable/strict/1762683900 2025-12-04T09:38:10.2731513Z * [new tag] viable/strict/1762705541 -> viable/strict/1762705541 2025-12-04T09:38:10.2732633Z * [new tag] viable/strict/1762709004 -> viable/strict/1762709004 2025-12-04T09:38:10.2733904Z * [new tag] viable/strict/1762746004 -> viable/strict/1762746004 2025-12-04T09:38:10.2735065Z * [new tag] viable/strict/1762748799 -> viable/strict/1762748799 2025-12-04T09:38:10.2736202Z * [new tag] viable/strict/1762759504 -> viable/strict/1762759504 2025-12-04T09:38:10.2737893Z * [new tag] viable/strict/1762760973 -> viable/strict/1762760973 2025-12-04T09:38:10.2739012Z * [new tag] viable/strict/1762775374 -> viable/strict/1762775374 2025-12-04T09:38:10.2740167Z * [new tag] viable/strict/1762777661 -> viable/strict/1762777661 2025-12-04T09:38:10.2741389Z * [new tag] viable/strict/1762779774 -> viable/strict/1762779774 2025-12-04T09:38:10.2742733Z * [new tag] viable/strict/1762781259 -> viable/strict/1762781259 2025-12-04T09:38:10.2743918Z * [new tag] viable/strict/1762793628 -> viable/strict/1762793628 2025-12-04T09:38:10.2745088Z * [new tag] viable/strict/1762800711 -> viable/strict/1762800711 2025-12-04T09:38:10.2746241Z * [new tag] viable/strict/1762809894 -> viable/strict/1762809894 2025-12-04T09:38:10.2747341Z * [new tag] viable/strict/1762811384 -> viable/strict/1762811384 2025-12-04T09:38:10.2748578Z * [new tag] viable/strict/1762813841 -> viable/strict/1762813841 2025-12-04T09:38:10.2749674Z * [new tag] viable/strict/1762815047 -> viable/strict/1762815047 2025-12-04T09:38:10.2751021Z * [new tag] viable/strict/1762817094 -> viable/strict/1762817094 2025-12-04T09:38:10.2752152Z * [new tag] viable/strict/1762818582 -> viable/strict/1762818582 2025-12-04T09:38:10.2753299Z * [new tag] viable/strict/1762821623 -> viable/strict/1762821623 2025-12-04T09:38:10.2754162Z * [new tag] viable/strict/1762823531 -> viable/strict/1762823531 2025-12-04T09:38:10.2755480Z * [new tag] viable/strict/1762849583 -> viable/strict/1762849583 2025-12-04T09:38:10.2756667Z * [new tag] viable/strict/1762851200 -> viable/strict/1762851200 2025-12-04T09:38:10.2757809Z * [new tag] viable/strict/1762854603 -> viable/strict/1762854603 2025-12-04T09:38:10.2758998Z * [new tag] viable/strict/1762858276 -> viable/strict/1762858276 2025-12-04T09:38:10.2760170Z * [new tag] viable/strict/1762860891 -> viable/strict/1762860891 2025-12-04T09:38:10.2761984Z * [new tag] viable/strict/1762866174 -> viable/strict/1762866174 2025-12-04T09:38:10.2763099Z * [new tag] viable/strict/1762867653 -> viable/strict/1762867653 2025-12-04T09:38:10.2764355Z * [new tag] viable/strict/1762872669 -> viable/strict/1762872669 2025-12-04T09:38:10.2765351Z * [new tag] viable/strict/1762878380 -> viable/strict/1762878380 2025-12-04T09:38:10.2766475Z * [new tag] viable/strict/1762889003 -> viable/strict/1762889003 2025-12-04T09:38:10.2767628Z * [new tag] viable/strict/1762890589 -> viable/strict/1762890589 2025-12-04T09:38:10.2768782Z * [new tag] viable/strict/1762892743 -> viable/strict/1762892743 2025-12-04T09:38:10.2769900Z * [new tag] viable/strict/1762894271 -> viable/strict/1762894271 2025-12-04T09:38:10.2770769Z * [new tag] viable/strict/1762896287 -> viable/strict/1762896287 2025-12-04T09:38:10.2772000Z * [new tag] viable/strict/1762915871 -> viable/strict/1762915871 2025-12-04T09:38:10.2773231Z * [new tag] viable/strict/1762918569 -> viable/strict/1762918569 2025-12-04T09:38:10.2774091Z * [new tag] viable/strict/1762919776 -> viable/strict/1762919776 2025-12-04T09:38:10.2775337Z * [new tag] viable/strict/1762923072 -> viable/strict/1762923072 2025-12-04T09:38:10.2776527Z * [new tag] viable/strict/1762928826 -> viable/strict/1762928826 2025-12-04T09:38:10.2777706Z * [new tag] viable/strict/1762930451 -> viable/strict/1762930451 2025-12-04T09:38:10.2778863Z * [new tag] viable/strict/1762933780 -> viable/strict/1762933780 2025-12-04T09:38:10.2780011Z * [new tag] viable/strict/1762937638 -> viable/strict/1762937638 2025-12-04T09:38:10.2781460Z * [new tag] viable/strict/1762939545 -> viable/strict/1762939545 2025-12-04T09:38:10.2782665Z * [new tag] viable/strict/1762962692 -> viable/strict/1762962692 2025-12-04T09:38:10.2783789Z * [new tag] viable/strict/1762979143 -> viable/strict/1762979143 2025-12-04T09:38:10.2784966Z * [new tag] viable/strict/1762984188 -> viable/strict/1762984188 2025-12-04T09:38:10.2785846Z * [new tag] viable/strict/1762986306 -> viable/strict/1762986306 2025-12-04T09:38:10.2787120Z * [new tag] viable/strict/1762989903 -> viable/strict/1762989903 2025-12-04T09:38:10.2788204Z * [new tag] viable/strict/1762991377 -> viable/strict/1762991377 2025-12-04T09:38:10.2789657Z * [new tag] viable/strict/1762998921 -> viable/strict/1762998921 2025-12-04T09:38:10.2791047Z * [new tag] viable/strict/1763002287 -> viable/strict/1763002287 2025-12-04T09:38:10.2792232Z * [new tag] viable/strict/1763016840 -> viable/strict/1763016840 2025-12-04T09:38:10.2793343Z * [new tag] viable/strict/1763020180 -> viable/strict/1763020180 2025-12-04T09:38:10.2794569Z * [new tag] viable/strict/1763027421 -> viable/strict/1763027421 2025-12-04T09:38:10.2795716Z * [new tag] viable/strict/1763031120 -> viable/strict/1763031120 2025-12-04T09:38:10.2796873Z * [new tag] viable/strict/1763036861 -> viable/strict/1763036861 2025-12-04T09:38:10.2798026Z * [new tag] viable/strict/1763038993 -> viable/strict/1763038993 2025-12-04T09:38:10.2799218Z * [new tag] viable/strict/1763054703 -> viable/strict/1763054703 2025-12-04T09:38:10.2800220Z * [new tag] viable/strict/1763067061 -> viable/strict/1763067061 2025-12-04T09:38:10.2801536Z * [new tag] viable/strict/1763070847 -> viable/strict/1763070847 2025-12-04T09:38:10.2802654Z * [new tag] viable/strict/1763072706 -> viable/strict/1763072706 2025-12-04T09:38:10.2803884Z * [new tag] viable/strict/1763076302 -> viable/strict/1763076302 2025-12-04T09:38:10.2805056Z * [new tag] viable/strict/1763080816 -> viable/strict/1763080816 2025-12-04T09:38:10.2806161Z * [new tag] viable/strict/1763082732 -> viable/strict/1763082732 2025-12-04T09:38:10.2807271Z * [new tag] viable/strict/1763085329 -> viable/strict/1763085329 2025-12-04T09:38:10.2808393Z * [new tag] viable/strict/1763088623 -> viable/strict/1763088623 2025-12-04T09:38:10.2809638Z * [new tag] viable/strict/1763091402 -> viable/strict/1763091402 2025-12-04T09:38:10.2810746Z * [new tag] viable/strict/1763092602 -> viable/strict/1763092602 2025-12-04T09:38:10.2811959Z * [new tag] viable/strict/1763094355 -> viable/strict/1763094355 2025-12-04T09:38:10.2813569Z * [new tag] viable/strict/1763099390 -> viable/strict/1763099390 2025-12-04T09:38:10.2814730Z * [new tag] viable/strict/1763101608 -> viable/strict/1763101608 2025-12-04T09:38:10.2815886Z * [new tag] viable/strict/1763105102 -> viable/strict/1763105102 2025-12-04T09:38:10.2817089Z * [new tag] viable/strict/1763112347 -> viable/strict/1763112347 2025-12-04T09:38:10.2818287Z * [new tag] viable/strict/1763119471 -> viable/strict/1763119471 2025-12-04T09:38:10.2819362Z * [new tag] viable/strict/1763126835 -> viable/strict/1763126835 2025-12-04T09:38:10.2820160Z * [new tag] viable/strict/1763149779 -> viable/strict/1763149779 2025-12-04T09:38:10.2821493Z * [new tag] viable/strict/1763164178 -> viable/strict/1763164178 2025-12-04T09:38:10.2822637Z * [new tag] viable/strict/1763167104 -> viable/strict/1763167104 2025-12-04T09:38:10.2823734Z * [new tag] viable/strict/1763169132 -> viable/strict/1763169132 2025-12-04T09:38:10.2824866Z * [new tag] viable/strict/1763171708 -> viable/strict/1763171708 2025-12-04T09:38:10.2826022Z * [new tag] viable/strict/1763174759 -> viable/strict/1763174759 2025-12-04T09:38:10.2827236Z * [new tag] viable/strict/1763180744 -> viable/strict/1763180744 2025-12-04T09:38:10.2828388Z * [new tag] viable/strict/1763182227 -> viable/strict/1763182227 2025-12-04T09:38:10.2829481Z * [new tag] viable/strict/1763184309 -> viable/strict/1763184309 2025-12-04T09:38:10.2831339Z * [new tag] viable/strict/1763187991 -> viable/strict/1763187991 2025-12-04T09:38:10.2832608Z * [new tag] viable/strict/1763191445 -> viable/strict/1763191445 2025-12-04T09:38:10.2833905Z * [new tag] viable/strict/1763195152 -> viable/strict/1763195152 2025-12-04T09:38:10.2834799Z * [new tag] viable/strict/1763205769 -> viable/strict/1763205769 2025-12-04T09:38:10.2836040Z * [new tag] viable/strict/1763246990 -> viable/strict/1763246990 2025-12-04T09:38:10.2837304Z * [new tag] viable/strict/1763261578 -> viable/strict/1763261578 2025-12-04T09:38:10.2838346Z * [new tag] viable/strict/1763286573 -> viable/strict/1763286573 2025-12-04T09:38:10.2839441Z * [new tag] viable/strict/1763292167 -> viable/strict/1763292167 2025-12-04T09:38:10.2840620Z * [new tag] viable/strict/1763333386 -> viable/strict/1763333386 2025-12-04T09:38:10.2841782Z * [new tag] viable/strict/1763340082 -> viable/strict/1763340082 2025-12-04T09:38:10.2843713Z * [new tag] viable/strict/1763364324 -> viable/strict/1763364324 2025-12-04T09:38:10.2844836Z * [new tag] viable/strict/1763371569 -> viable/strict/1763371569 2025-12-04T09:38:10.2845985Z * [new tag] viable/strict/1763373067 -> viable/strict/1763373067 2025-12-04T09:38:10.2847181Z * [new tag] viable/strict/1763375157 -> viable/strict/1763375157 2025-12-04T09:38:10.2848318Z * [new tag] viable/strict/1763382462 -> viable/strict/1763382462 2025-12-04T09:38:10.2849540Z * [new tag] viable/strict/1763394661 -> viable/strict/1763394661 2025-12-04T09:38:10.2850887Z * [new tag] viable/strict/1763396797 -> viable/strict/1763396797 2025-12-04T09:38:10.2852114Z * [new tag] viable/strict/1763398542 -> viable/strict/1763398542 2025-12-04T09:38:10.2853269Z * [new tag] viable/strict/1763401807 -> viable/strict/1763401807 2025-12-04T09:38:10.2854237Z * [new tag] viable/strict/1763414698 -> viable/strict/1763414698 2025-12-04T09:38:10.2855430Z * [new tag] viable/strict/1763419807 -> viable/strict/1763419807 2025-12-04T09:38:10.2856573Z * [new tag] viable/strict/1763426369 -> viable/strict/1763426369 2025-12-04T09:38:10.2857795Z * [new tag] viable/strict/1763428331 -> viable/strict/1763428331 2025-12-04T09:38:10.2858935Z * [new tag] viable/strict/1763430922 -> viable/strict/1763430922 2025-12-04T09:38:10.2859899Z * [new tag] viable/strict/1763434184 -> viable/strict/1763434184 2025-12-04T09:38:10.2861099Z * [new tag] viable/strict/1763439973 -> viable/strict/1763439973 2025-12-04T09:38:10.2862457Z * [new tag] viable/strict/1763444995 -> viable/strict/1763444995 2025-12-04T09:38:10.2863490Z * [new tag] viable/strict/1763447206 -> viable/strict/1763447206 2025-12-04T09:38:10.2864715Z * [new tag] viable/strict/1763448826 -> viable/strict/1763448826 2025-12-04T09:38:10.2865859Z * [new tag] viable/strict/1763450717 -> viable/strict/1763450717 2025-12-04T09:38:10.2867024Z * [new tag] viable/strict/1763452183 -> viable/strict/1763452183 2025-12-04T09:38:10.2868251Z * [new tag] viable/strict/1763457945 -> viable/strict/1763457945 2025-12-04T09:38:10.2869419Z * [new tag] viable/strict/1763459439 -> viable/strict/1763459439 2025-12-04T09:38:10.2870409Z * [new tag] viable/strict/1763461556 -> viable/strict/1763461556 2025-12-04T09:38:10.2871560Z * [new tag] viable/strict/1763463103 -> viable/strict/1763463103 2025-12-04T09:38:10.2872713Z * [new tag] viable/strict/1763465100 -> viable/strict/1763465100 2025-12-04T09:38:10.2873600Z * [new tag] viable/strict/1763468866 -> viable/strict/1763468866 2025-12-04T09:38:10.2874655Z * [new tag] viable/strict/1763493823 -> viable/strict/1763493823 2025-12-04T09:38:10.2875704Z * [new tag] viable/strict/1763496249 -> viable/strict/1763496249 2025-12-04T09:38:10.2876919Z * [new tag] viable/strict/1763502620 -> viable/strict/1763502620 2025-12-04T09:38:10.2878161Z * [new tag] viable/strict/1763504715 -> viable/strict/1763504715 2025-12-04T09:38:10.2879293Z * [new tag] viable/strict/1763506208 -> viable/strict/1763506208 2025-12-04T09:38:10.2880434Z * [new tag] viable/strict/1763520590 -> viable/strict/1763520590 2025-12-04T09:38:10.2881815Z * [new tag] viable/strict/1763523357 -> viable/strict/1763523357 2025-12-04T09:38:10.2883054Z * [new tag] viable/strict/1763529922 -> viable/strict/1763529922 2025-12-04T09:38:10.2884336Z * [new tag] viable/strict/1763531408 -> viable/strict/1763531408 2025-12-04T09:38:10.2885456Z * [new tag] viable/strict/1763533622 -> viable/strict/1763533622 2025-12-04T09:38:10.2886590Z * [new tag] viable/strict/1763538576 -> viable/strict/1763538576 2025-12-04T09:38:10.2887825Z * [new tag] viable/strict/1763545823 -> viable/strict/1763545823 2025-12-04T09:38:10.2889189Z * [new tag] viable/strict/1763547951 -> viable/strict/1763547951 2025-12-04T09:38:10.2890465Z * [new tag] viable/strict/1763551477 -> viable/strict/1763551477 2025-12-04T09:38:10.2891616Z * [new tag] viable/strict/1763552982 -> viable/strict/1763552982 2025-12-04T09:38:10.2892765Z * [new tag] viable/strict/1763594698 -> viable/strict/1763594698 2025-12-04T09:38:10.2893894Z * [new tag] viable/strict/1763596178 -> viable/strict/1763596178 2025-12-04T09:38:10.2895038Z * [new tag] viable/strict/1763599155 -> viable/strict/1763599155 2025-12-04T09:38:10.2896216Z * [new tag] viable/strict/1763603717 -> viable/strict/1763603717 2025-12-04T09:38:10.2897366Z * [new tag] viable/strict/1763606923 -> viable/strict/1763606923 2025-12-04T09:38:10.2898500Z * [new tag] viable/strict/1763609715 -> viable/strict/1763609715 2025-12-04T09:38:10.2899648Z * [new tag] viable/strict/1763612757 -> viable/strict/1763612757 2025-12-04T09:38:10.2900846Z * [new tag] viable/strict/1763616325 -> viable/strict/1763616325 2025-12-04T09:38:10.2902079Z * [new tag] viable/strict/1763623509 -> viable/strict/1763623509 2025-12-04T09:38:10.2903342Z * [new tag] viable/strict/1763624984 -> viable/strict/1763624984 2025-12-04T09:38:10.2904572Z * [new tag] viable/strict/1763628796 -> viable/strict/1763628796 2025-12-04T09:38:10.2905674Z * [new tag] viable/strict/1763634343 -> viable/strict/1763634343 2025-12-04T09:38:10.2906785Z * [new tag] viable/strict/1763635867 -> viable/strict/1763635867 2025-12-04T09:38:10.2908074Z * [new tag] viable/strict/1763639382 -> viable/strict/1763639382 2025-12-04T09:38:10.2909240Z * [new tag] viable/strict/1763646626 -> viable/strict/1763646626 2025-12-04T09:38:10.2910565Z * [new tag] viable/strict/1763655997 -> viable/strict/1763655997 2025-12-04T09:38:10.2911730Z * [new tag] viable/strict/1763659444 -> viable/strict/1763659444 2025-12-04T09:38:10.2912855Z * [new tag] viable/strict/1763660992 -> viable/strict/1763660992 2025-12-04T09:38:10.2913951Z * [new tag] viable/strict/1763663201 -> viable/strict/1763663201 2025-12-04T09:38:10.2915259Z * [new tag] viable/strict/1763670362 -> viable/strict/1763670362 2025-12-04T09:38:10.2916199Z * [new tag] viable/strict/1763675378 -> viable/strict/1763675378 2025-12-04T09:38:10.2917334Z * [new tag] viable/strict/1763693343 -> viable/strict/1763693343 2025-12-04T09:38:10.2918456Z * [new tag] viable/strict/1763696088 -> viable/strict/1763696088 2025-12-04T09:38:10.2919727Z * [new tag] viable/strict/1763697343 -> viable/strict/1763697343 2025-12-04T09:38:10.2920878Z * [new tag] viable/strict/1763699165 -> viable/strict/1763699165 2025-12-04T09:38:10.2921998Z * [new tag] viable/strict/1763700660 -> viable/strict/1763700660 2025-12-04T09:38:10.2923121Z * [new tag] viable/strict/1763704209 -> viable/strict/1763704209 2025-12-04T09:38:10.2924293Z * [new tag] viable/strict/1763706411 -> viable/strict/1763706411 2025-12-04T09:38:10.2925399Z * [new tag] viable/strict/1763708082 -> viable/strict/1763708082 2025-12-04T09:38:10.2926457Z * [new tag] viable/strict/1763711381 -> viable/strict/1763711381 2025-12-04T09:38:10.2927469Z * [new tag] viable/strict/1763713593 -> viable/strict/1763713593 2025-12-04T09:38:10.2928611Z * [new tag] viable/strict/1763715201 -> viable/strict/1763715201 2025-12-04T09:38:10.2929720Z * [new tag] viable/strict/1763733017 -> viable/strict/1763733017 2025-12-04T09:38:10.2931032Z * [new tag] viable/strict/1763735108 -> viable/strict/1763735108 2025-12-04T09:38:10.2932225Z * [new tag] viable/strict/1763749579 -> viable/strict/1763749579 2025-12-04T09:38:10.2933317Z * [new tag] viable/strict/1763751113 -> viable/strict/1763751113 2025-12-04T09:38:10.2934464Z * [new tag] viable/strict/1763753035 -> viable/strict/1763753035 2025-12-04T09:38:10.2935635Z * [new tag] viable/strict/1763754578 -> viable/strict/1763754578 2025-12-04T09:38:10.2936825Z * [new tag] viable/strict/1763756748 -> viable/strict/1763756748 2025-12-04T09:38:10.2937927Z * [new tag] viable/strict/1763758205 -> viable/strict/1763758205 2025-12-04T09:38:10.2938927Z * [new tag] viable/strict/1763764050 -> viable/strict/1763764050 2025-12-04T09:38:10.2940056Z * [new tag] viable/strict/1763771887 -> viable/strict/1763771887 2025-12-04T09:38:10.2941392Z * [new tag] viable/strict/1763773920 -> viable/strict/1763773920 2025-12-04T09:38:10.2942515Z * [new tag] viable/strict/1763776501 -> viable/strict/1763776501 2025-12-04T09:38:10.2943585Z * [new tag] viable/strict/1763779437 -> viable/strict/1763779437 2025-12-04T09:38:10.2944994Z * [new tag] viable/strict/1763781038 -> viable/strict/1763781038 2025-12-04T09:38:10.2945951Z * [new tag] viable/strict/1763782245 -> viable/strict/1763782245 2025-12-04T09:38:10.2947107Z * [new tag] viable/strict/1763785568 -> viable/strict/1763785568 2025-12-04T09:38:10.2948209Z * [new tag] viable/strict/1763787006 -> viable/strict/1763787006 2025-12-04T09:38:10.2949400Z * [new tag] viable/strict/1763789103 -> viable/strict/1763789103 2025-12-04T09:38:10.2950576Z * [new tag] viable/strict/1763790578 -> viable/strict/1763790578 2025-12-04T09:38:10.2951760Z * [new tag] viable/strict/1763796275 -> viable/strict/1763796275 2025-12-04T09:38:10.2953194Z * [new tag] viable/strict/1763801465 -> viable/strict/1763801465 2025-12-04T09:38:10.2954279Z * [new tag] viable/strict/1763803522 -> viable/strict/1763803522 2025-12-04T09:38:10.2955350Z * [new tag] viable/strict/1763808581 -> viable/strict/1763808581 2025-12-04T09:38:10.2956479Z * [new tag] viable/strict/1763840977 -> viable/strict/1763840977 2025-12-04T09:38:10.2957590Z * [new tag] viable/strict/1763846659 -> viable/strict/1763846659 2025-12-04T09:38:10.2958699Z * [new tag] viable/strict/1763872065 -> viable/strict/1763872065 2025-12-04T09:38:10.2959878Z * [new tag] viable/strict/1763873648 -> viable/strict/1763873648 2025-12-04T09:38:10.2960994Z * [new tag] viable/strict/1763875506 -> viable/strict/1763875506 2025-12-04T09:38:10.2961920Z * [new tag] viable/strict/1763889904 -> viable/strict/1763889904 2025-12-04T09:38:10.2963619Z * [new tag] viable/strict/1763930999 -> viable/strict/1763930999 2025-12-04T09:38:10.2964807Z * [new tag] viable/strict/1763944964 -> viable/strict/1763944964 2025-12-04T09:38:10.2965661Z * [new tag] viable/strict/1763958474 -> viable/strict/1763958474 2025-12-04T09:38:10.2966869Z * [new tag] viable/strict/1763967263 -> viable/strict/1763967263 2025-12-04T09:38:10.2967986Z * [new tag] viable/strict/1763972803 -> viable/strict/1763972803 2025-12-04T09:38:10.2969067Z * [new tag] viable/strict/1763976376 -> viable/strict/1763976376 2025-12-04T09:38:10.2970216Z * [new tag] viable/strict/1763989404 -> viable/strict/1763989404 2025-12-04T09:38:10.2971288Z * [new tag] viable/strict/1763990887 -> viable/strict/1763990887 2025-12-04T09:38:10.2972452Z * [new tag] viable/strict/1764019919 -> viable/strict/1764019919 2025-12-04T09:38:10.2973611Z * [new tag] viable/strict/1764023134 -> viable/strict/1764023134 2025-12-04T09:38:10.2974575Z * [new tag] viable/strict/1764024593 -> viable/strict/1764024593 2025-12-04T09:38:10.2975707Z * [new tag] viable/strict/1764026706 -> viable/strict/1764026706 2025-12-04T09:38:10.2977083Z * [new tag] viable/strict/1764031139 -> viable/strict/1764031139 2025-12-04T09:38:10.2978263Z * [new tag] viable/strict/1764033131 -> viable/strict/1764033131 2025-12-04T09:38:10.2979102Z * [new tag] viable/strict/1764035725 -> viable/strict/1764035725 2025-12-04T09:38:10.2980185Z * [new tag] viable/strict/1764624265 -> viable/strict/1764624265 2025-12-04T09:38:10.2981045Z * [new tag] viable/strict/1764631514 -> viable/strict/1764631514 2025-12-04T09:38:10.2982165Z * [new tag] viable/strict/1764632987 -> viable/strict/1764632987 2025-12-04T09:38:10.2982988Z * [new tag] viable/strict/1764636063 -> viable/strict/1764636063 2025-12-04T09:38:10.2984050Z * [new tag] viable/strict/1764643975 -> viable/strict/1764643975 2025-12-04T09:38:10.2984887Z * [new tag] viable/strict/1764646859 -> viable/strict/1764646859 2025-12-04T09:38:10.2985984Z * [new tag] viable/strict/1764653120 -> viable/strict/1764653120 2025-12-04T09:38:10.2986947Z * [new tag] viable/strict/1764654632 -> viable/strict/1764654632 2025-12-04T09:38:10.2987820Z * [new tag] viable/strict/1764656821 -> viable/strict/1764656821 2025-12-04T09:38:10.2988855Z * [new tag] viable/strict/1764658557 -> viable/strict/1764658557 2025-12-04T09:38:10.2989678Z * [new tag] viable/strict/1764660333 -> viable/strict/1764660333 2025-12-04T09:38:10.2990700Z * [new tag] viable/strict/1764661812 -> viable/strict/1764661812 2025-12-04T09:38:10.2991569Z * [new tag] viable/strict/1764664023 -> viable/strict/1764664023 2025-12-04T09:38:10.2992615Z * [new tag] viable/strict/1764669150 -> viable/strict/1764669150 2025-12-04T09:38:10.2993468Z * [new tag] viable/strict/1764680709 -> viable/strict/1764680709 2025-12-04T09:38:10.2994483Z * [new tag] viable/strict/1764687619 -> viable/strict/1764687619 2025-12-04T09:38:10.2995436Z * [new tag] viable/strict/1764696355 -> viable/strict/1764696355 2025-12-04T09:38:10.2996308Z * [new tag] viable/strict/1764701767 -> viable/strict/1764701767 2025-12-04T09:38:10.2997235Z * [new tag] viable/strict/1764710768 -> viable/strict/1764710768 2025-12-04T09:38:10.2998294Z * [new tag] viable/strict/1764716202 -> viable/strict/1764716202 2025-12-04T09:38:10.2999105Z * [new tag] viable/strict/1764793566 -> viable/strict/1764793566 2025-12-04T09:38:10.3000147Z * [new tag] viable/strict/1764797093 -> viable/strict/1764797093 2025-12-04T09:38:10.3000982Z * [new tag] viable/strict/1764800729 -> viable/strict/1764800729 2025-12-04T09:38:10.3002236Z * [new tag] whc_flight_1 -> whc_flight_1 2025-12-04T09:38:10.3003387Z * [new tag] whc_flight_2 -> whc_flight_2 2025-12-04T09:38:10.3004693Z * [new tag] whc_flight_4 -> whc_flight_4 2025-12-04T09:38:10.3857780Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object} 2025-12-04T09:38:10.3885273Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:38:10.3888588Z ##[endgroup] 2025-12-04T09:38:10.3888918Z ##[group]Determining the checkout info 2025-12-04T09:38:10.3890110Z ##[endgroup] 2025-12-04T09:38:10.3894136Z [command]/usr/bin/git sparse-checkout disable 2025-12-04T09:38:10.3928349Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-12-04T09:38:10.3959225Z ##[group]Checking out the ref 2025-12-04T09:38:10.3962402Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:38:11.4370845Z Updating files: 75% (15231/20121) 2025-12-04T09:38:11.4528293Z Updating files: 76% (15292/20121) 2025-12-04T09:38:11.4670951Z Updating files: 77% (15494/20121) 2025-12-04T09:38:11.4899249Z 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You can look around, make experimental 2025-12-04T09:38:11.9477731Z changes and commit them, and you can discard any commits you make in this 2025-12-04T09:38:11.9478377Z state without impacting any branches by switching back to a branch. 2025-12-04T09:38:11.9478773Z 2025-12-04T09:38:11.9479015Z If you want to create a new branch to retain commits you create, you may 2025-12-04T09:38:11.9479606Z do so (now or later) by using -c with the switch command. Example: 2025-12-04T09:38:11.9479959Z 2025-12-04T09:38:11.9480301Z git switch -c 2025-12-04T09:38:11.9480530Z 2025-12-04T09:38:11.9480665Z Or undo this operation with: 2025-12-04T09:38:11.9480872Z 2025-12-04T09:38:11.9480972Z git switch - 2025-12-04T09:38:11.9481140Z 2025-12-04T09:38:11.9481414Z Turn off this advice by setting config variable advice.detachedHead to false 2025-12-04T09:38:11.9481840Z 2025-12-04T09:38:11.9482157Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919) 2025-12-04T09:38:11.9569398Z ##[endgroup] 2025-12-04T09:38:11.9569904Z ##[group]Setting up auth for fetching submodules 2025-12-04T09:38:11.9576842Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T09:38:11.9630782Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-12-04T09:38:11.9659038Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-12-04T09:38:11.9687924Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-12-04T09:38:11.9713267Z ##[endgroup] 2025-12-04T09:38:11.9713729Z ##[group]Fetching submodules 2025-12-04T09:38:11.9717355Z [command]/usr/bin/git submodule sync --recursive 2025-12-04T09:38:12.0065750Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-12-04T09:38:12.0405549Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-12-04T09:38:12.0407622Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-12-04T09:38:12.0410631Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-12-04T09:38:12.0413669Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-12-04T09:38:12.0416796Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-12-04T09:38:12.0420537Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-12-04T09:38:12.0423803Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-12-04T09:38:12.0427266Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-12-04T09:38:12.0431159Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-12-04T09:38:12.0435663Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-12-04T09:38:12.0439256Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-12-04T09:38:12.0443262Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-12-04T09:38:12.0447491Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-12-04T09:38:12.0451527Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-12-04T09:38:12.0455844Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-12-04T09:38:12.0461508Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-12-04T09:38:12.0467973Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-12-04T09:38:12.0472665Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-12-04T09:38:12.0477666Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:38:12.0482397Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-12-04T09:38:12.0487488Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-12-04T09:38:12.0492454Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-12-04T09:38:12.0497721Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-12-04T09:38:12.0503110Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-12-04T09:38:12.0510637Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-12-04T09:38:12.0514767Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-12-04T09:38:12.0520273Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-12-04T09:38:12.0525841Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-12-04T09:38:12.0532235Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-12-04T09:38:12.0537944Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-12-04T09:38:12.0544180Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-12-04T09:38:12.0550251Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-12-04T09:38:12.0556710Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-12-04T09:38:12.0567826Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-12-04T09:38:12.0574319Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-12-04T09:38:12.0580858Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-12-04T09:38:12.0587893Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-12-04T09:38:12.0622119Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-12-04T09:38:12.3051976Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-12-04T09:38:12.3053484Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-12-04T09:38:12.3085730Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-12-04T09:38:16.0266028Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-12-04T09:38:16.0268132Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-12-04T09:38:16.0269923Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-12-04T09:38:16.0271694Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-12-04T09:38:16.0273630Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-12-04T09:38:16.0275637Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-12-04T09:38:16.0277836Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-12-04T09:38:16.0279950Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-12-04T09:38:16.0281699Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-12-04T09:38:16.0283736Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-12-04T09:38:16.0285510Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-12-04T09:38:16.0287349Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-12-04T09:38:16.0289208Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-12-04T09:38:16.0291053Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-12-04T09:38:16.0292787Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-12-04T09:38:16.0294687Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-12-04T09:38:16.0520528Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-12-04T09:38:16.3969438Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-12-04T09:38:16.4315936Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-12-04T09:38:37.3202971Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-12-04T09:38:37.3204036Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-12-04T09:38:37.3204911Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-12-04T09:38:37.3205760Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-12-04T09:38:37.3206598Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-12-04T09:38:37.3207417Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-12-04T09:38:37.3208248Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-12-04T09:38:37.3209064Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-12-04T09:38:37.3209858Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-12-04T09:38:37.3210731Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-12-04T09:38:37.3211840Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-12-04T09:38:37.4204452Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-12-04T09:38:41.6297411Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-12-04T09:38:41.6298344Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-12-04T09:38:41.6479424Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-12-04T09:38:41.6621610Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-12-04T09:38:41.6734057Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-12-04T09:38:41.7025038Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-12-04T09:38:41.7987133Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6' 2025-12-04T09:38:41.8563694Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-12-04T09:38:42.7003467Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-12-04T09:38:42.9178441Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-12-04T09:38:42.9201269Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:38:42.9232473Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-12-04T09:38:48.1340384Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-12-04T09:38:48.1615092Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-12-04T09:38:48.5659205Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T09:38:48.6211837Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-12-04T09:38:48.7319268Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc' 2025-12-04T09:38:48.7876419Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396' 2025-12-04T09:38:49.5325170Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588' 2025-12-04T09:38:49.7115458Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4' 2025-12-04T09:38:49.7141310Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-12-04T09:38:49.7144620Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:38:49.7147540Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:38:49.7150728Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-12-04T09:38:49.7154061Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-12-04T09:38:49.7157603Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:38:49.7160979Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-12-04T09:38:49.7193360Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-12-04T09:38:51.0709979Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-12-04T09:38:51.0711120Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-12-04T09:38:51.0712164Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-12-04T09:38:51.1711129Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-12-04T09:38:54.7528831Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-12-04T09:38:54.8529392Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-12-04T09:38:58.0655051Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-12-04T09:38:58.4714002Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T09:38:58.5868296Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-12-04T09:38:59.3133017Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8' 2025-12-04T09:38:59.3666115Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T09:38:59.3801397Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-12-04T09:38:59.5030791Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-12-04T09:38:59.5831751Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-12-04T09:38:59.5854797Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:38:59.5857496Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:38:59.5888382Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-12-04T09:39:04.4522888Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-12-04T09:39:04.7341224Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-12-04T09:39:05.3856917Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-12-04T09:39:05.5458245Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-12-04T09:39:05.5806844Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f' 2025-12-04T09:39:05.6270617Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-12-04T09:39:05.6568110Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341' 2025-12-04T09:39:05.7087276Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T09:39:05.7237617Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-12-04T09:39:05.7257122Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-12-04T09:39:05.7285556Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-12-04T09:39:22.5584511Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-12-04T09:39:22.5828114Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-12-04T09:39:22.6813739Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943' 2025-12-04T09:39:22.6834017Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:39:22.6836598Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:39:22.6839877Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:39:22.6872047Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-12-04T09:39:23.7423224Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-12-04T09:39:24.3756029Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-12-04T09:39:24.4797030Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1' 2025-12-04T09:39:24.4817417Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:39:24.4820361Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:39:24.4823760Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:39:24.4827331Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:39:24.4830727Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:39:24.4834519Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:39:24.4838167Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:39:24.4841955Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:39:24.4845940Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:39:24.4880872Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-12-04T09:39:26.5477020Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-12-04T09:39:26.5478487Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-12-04T09:39:26.5479961Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'... 2025-12-04T09:39:26.5481449Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-12-04T09:39:26.5482794Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-12-04T09:39:26.5484251Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-12-04T09:39:26.5485829Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-12-04T09:39:26.6478364Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-12-04T09:39:33.0516014Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-12-04T09:39:33.0728452Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-12-04T09:39:33.1151962Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-12-04T09:39:33.1310463Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-12-04T09:39:33.1329124Z 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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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:39:55.9216204Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-12-04T09:39:55.9559275Z Entering 'android/libs/fbjni' 2025-12-04T09:39:55.9616848Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-12-04T09:39:55.9636669Z Entering 'third_party/FP16' 2025-12-04T09:39:55.9695547Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-12-04T09:39:55.9714907Z Entering 'third_party/FXdiv' 2025-12-04T09:39:55.9777038Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-12-04T09:39:55.9795706Z Entering 'third_party/NNPACK' 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'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:39:56.9300032Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:39:56.9352048Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:39:56.9398125Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:39:56.9448607Z Entering 'third_party/kleidiai' 2025-12-04T09:39:56.9498062Z Entering 'third_party/mimalloc' 2025-12-04T09:39:56.9547147Z Entering 'third_party/nlohmann' 2025-12-04T09:39:56.9596647Z Entering 'third_party/onnx' 2025-12-04T09:39:56.9664476Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:39:56.9713960Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:39:56.9766659Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:39:56.9812821Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:39:56.9859549Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:39:56.9905378Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:39:56.9954719Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:39:57.0000512Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:39:57.0047857Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:39:57.0093672Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:39:57.0142567Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:39:57.0191614Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:39:57.0261630Z Entering 'third_party/pocketfft' 2025-12-04T09:39:57.0311279Z Entering 'third_party/protobuf' 2025-12-04T09:39:57.0365061Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:39:57.0411554Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:39:57.0461189Z Entering 'third_party/psimd' 2025-12-04T09:39:57.0509283Z Entering 'third_party/pthreadpool' 2025-12-04T09:39:57.0558061Z Entering 'third_party/pybind11' 2025-12-04T09:39:57.0606816Z Entering 'third_party/python-peachpy' 2025-12-04T09:39:57.0654724Z Entering 'third_party/sleef' 2025-12-04T09:39:57.0702742Z Entering 'third_party/tensorpipe' 2025-12-04T09:39:57.0750755Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:39:57.0798280Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:39:57.0844367Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:39:57.0890700Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:39:57.0936649Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:39:57.1002718Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-12-04T09:39:57.1355716Z Entering 'android/libs/fbjni' 2025-12-04T09:39:57.1403722Z Entering 'third_party/FP16' 2025-12-04T09:39:57.1453808Z Entering 'third_party/FXdiv' 2025-12-04T09:39:57.1502655Z Entering 'third_party/NNPACK' 2025-12-04T09:39:57.1551226Z Entering 'third_party/NVTX' 2025-12-04T09:39:57.1601496Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:39:57.1651931Z Entering 'third_party/XNNPACK' 2025-12-04T09:39:57.1716015Z Entering 'third_party/aiter' 2025-12-04T09:39:57.1765433Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:39:57.1823364Z Entering 'third_party/benchmark' 2025-12-04T09:39:57.1871768Z Entering 'third_party/composable_kernel' 2025-12-04T09:39:57.1927658Z Entering 'third_party/cpp-httplib' 2025-12-04T09:39:57.1976951Z Entering 'third_party/cpuinfo' 2025-12-04T09:39:57.2026203Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:39:57.2078034Z Entering 'third_party/cutlass' 2025-12-04T09:39:57.2139958Z Entering 'third_party/fbgemm' 2025-12-04T09:39:57.2194419Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:39:57.2243057Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:39:57.2300074Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:39:57.2348991Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:39:57.2405157Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:39:57.2452459Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:39:57.2501078Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:39:57.2552454Z Entering 'third_party/flash-attention' 2025-12-04T09:39:57.2601025Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:39:57.2654763Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:39:57.2715319Z Entering 'third_party/flatbuffers' 2025-12-04T09:39:57.2767809Z Entering 'third_party/fmt' 2025-12-04T09:39:57.2816571Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:39:57.2865335Z Entering 'third_party/gloo' 2025-12-04T09:39:57.2915045Z Entering 'third_party/googletest' 2025-12-04T09:39:57.2965903Z Entering 'third_party/ideep' 2025-12-04T09:39:57.3013327Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T09:39:57.3069050Z Entering 'third_party/ittapi' 2025-12-04T09:39:57.3118290Z Entering 'third_party/kineto' 2025-12-04T09:39:57.3169508Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:39:57.3217794Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:39:57.3268544Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:39:57.3317315Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:39:57.3364999Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:39:57.3412250Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:39:57.3461979Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:39:57.3509234Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:39:57.3557802Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:39:57.3606140Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:39:57.3654484Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:39:57.3702786Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:39:57.3753199Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:39:57.3804774Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:39:57.3851931Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:39:57.3900923Z Entering 'third_party/kleidiai' 2025-12-04T09:39:57.3950782Z Entering 'third_party/mimalloc' 2025-12-04T09:39:57.3998521Z Entering 'third_party/nlohmann' 2025-12-04T09:39:57.4047588Z Entering 'third_party/onnx' 2025-12-04T09:39:57.4115134Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:39:57.4165757Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:39:57.4217706Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:39:57.4263985Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:39:57.4311783Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:39:57.4357845Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:39:57.4406093Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:39:57.4452424Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:39:57.4499408Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:39:57.4545723Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:39:57.4594043Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:39:57.4642337Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:39:57.4713869Z Entering 'third_party/pocketfft' 2025-12-04T09:39:57.4761970Z Entering 'third_party/protobuf' 2025-12-04T09:39:57.4813501Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:39:57.4861318Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:39:57.4910858Z Entering 'third_party/psimd' 2025-12-04T09:39:57.4959057Z Entering 'third_party/pthreadpool' 2025-12-04T09:39:57.5007171Z Entering 'third_party/pybind11' 2025-12-04T09:39:57.5056237Z Entering 'third_party/python-peachpy' 2025-12-04T09:39:57.5104654Z Entering 'third_party/sleef' 2025-12-04T09:39:57.5153004Z Entering 'third_party/tensorpipe' 2025-12-04T09:39:57.5201910Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:39:57.5249354Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:39:57.5296340Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:39:57.5344557Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:39:57.5391223Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:39:57.5457911Z ##[endgroup] 2025-12-04T09:39:57.5497067Z [command]/usr/bin/git log -1 --format=%H 2025-12-04T09:39:57.5522624Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:39:57.5628614Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-12-04T09:39:57.5629031Z cd "${GITHUB_WORKSPACE}" 2025-12-04T09:39:57.5629537Z # Clean stale submodule dirs 2025-12-04T09:39:57.5629910Z if [ -z "${NO_SUDO}" ]; then 2025-12-04T09:39:57.5647937Z  sudo git submodule foreach --recursive git clean -ffdx 2025-12-04T09:39:57.5648414Z else 2025-12-04T09:39:57.5648763Z  git submodule foreach --recursive git clean -ffdx 2025-12-04T09:39:57.5649213Z fi 2025-12-04T09:39:57.5658827Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:39:57.5659260Z env: 2025-12-04T09:39:57.5659526Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:39:57.5659835Z NO_SUDO: true 2025-12-04T09:39:57.5660101Z ##[endgroup] 2025-12-04T09:39:57.6027256Z Entering 'android/libs/fbjni' 2025-12-04T09:39:57.6064609Z Entering 'third_party/FP16' 2025-12-04T09:39:57.6101029Z Entering 'third_party/FXdiv' 2025-12-04T09:39:57.6136004Z Entering 'third_party/NNPACK' 2025-12-04T09:39:57.6176366Z Entering 'third_party/NVTX' 2025-12-04T09:39:57.6220661Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:39:57.6257966Z Entering 'third_party/XNNPACK' 2025-12-04T09:39:57.6399225Z Entering 'third_party/aiter' 2025-12-04T09:39:57.6447367Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:39:57.6567595Z Entering 'third_party/benchmark' 2025-12-04T09:39:57.6606796Z Entering 'third_party/composable_kernel' 2025-12-04T09:39:57.6739058Z Entering 'third_party/cpp-httplib' 2025-12-04T09:39:57.6776429Z Entering 'third_party/cpuinfo' 2025-12-04T09:39:57.6816982Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:39:57.6859560Z Entering 'third_party/cutlass' 2025-12-04T09:39:57.6971274Z Entering 'third_party/fbgemm' 2025-12-04T09:39:57.7038431Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:39:57.7074864Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:39:57.7202894Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:39:57.7242776Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:39:57.7352282Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:39:57.7390679Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:39:57.7424713Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:39:57.7474591Z Entering 'third_party/flash-attention' 2025-12-04T09:39:57.7519956Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:39:57.7629322Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:39:57.7732490Z Entering 'third_party/flatbuffers' 2025-12-04T09:39:57.7810655Z Entering 'third_party/fmt' 2025-12-04T09:39:57.7848119Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:39:57.7885864Z Entering 'third_party/gloo' 2025-12-04T09:39:57.7925494Z Entering 'third_party/googletest' 2025-12-04T09:39:57.7965218Z Entering 'third_party/ideep' 2025-12-04T09:39:57.7999539Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T09:39:57.8094732Z Entering 'third_party/ittapi' 2025-12-04T09:39:57.8135449Z Entering 'third_party/kineto' 2025-12-04T09:39:57.8175004Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:39:57.8216571Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:39:57.8267650Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:39:57.8304337Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:39:57.8341827Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:39:57.8375587Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:39:57.8410777Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:39:57.8447045Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:39:57.8484933Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:39:57.8530924Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:39:57.8565702Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:39:57.8602097Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:39:57.8670878Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:39:57.8712997Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:39:57.8749059Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:39:57.8788251Z Entering 'third_party/kleidiai' 2025-12-04T09:39:57.8833321Z Entering 'third_party/mimalloc' 2025-12-04T09:39:57.8873543Z Entering 'third_party/nlohmann' 2025-12-04T09:39:57.8923936Z Entering 'third_party/onnx' 2025-12-04T09:39:57.9288315Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:39:57.9328494Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:39:57.9391610Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:39:57.9427443Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:39:57.9464474Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:39:57.9497384Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:39:57.9544871Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:39:57.9580421Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:39:57.9615760Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:39:57.9651430Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:39:57.9704977Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:39:57.9744630Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:39:58.0033892Z Entering 'third_party/pocketfft' 2025-12-04T09:39:58.0067827Z Entering 'third_party/protobuf' 2025-12-04T09:39:58.0155435Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:39:58.0189486Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:39:58.0231435Z Entering 'third_party/psimd' 2025-12-04T09:39:58.0265598Z Entering 'third_party/pthreadpool' 2025-12-04T09:39:58.0300961Z Entering 'third_party/pybind11' 2025-12-04T09:39:58.0341011Z Entering 'third_party/python-peachpy' 2025-12-04T09:39:58.0376844Z Entering 'third_party/sleef' 2025-12-04T09:39:58.0415296Z Entering 'third_party/tensorpipe' 2025-12-04T09:39:58.0453511Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:39:58.0490073Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:39:58.0524789Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:39:58.0564507Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:39:58.0599236Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:39:58.0805333Z Prepare all required actions 2025-12-04T09:39:58.0805974Z Getting action download info 2025-12-04T09:39:58.2496882Z ##[group]Run ./.github/actions/setup-linux 2025-12-04T09:39:58.2497240Z env: 2025-12-04T09:39:58.2497494Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:39:58.2497794Z ##[endgroup] 2025-12-04T09:39:58.2539738Z ##[group]Run set -euo pipefail 2025-12-04T09:39:58.2540154Z set -euo pipefail 2025-12-04T09:39:58.2540495Z function get_ec2_metadata() { 2025-12-04T09:39:58.2541054Z  # Pulled from instance metadata endpoint for EC2 2025-12-04T09:39:58.2541786Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-12-04T09:39:58.2542445Z  category=$1 2025-12-04T09:39:58.2542869Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-12-04T09:39:58.2543374Z  runner_name_str=i-076282dc4c60ba1f3 2025-12-04T09:39:58.2543820Z  if [[ -f /.inarc ]]; then 2025-12-04T09:39:58.2544214Z  echo "ARC Runner, no info on ec2 metadata" 2025-12-04T09:39:58.2544667Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-12-04T09:39:58.2545215Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-12-04T09:39:58.2545718Z  else 2025-12-04T09:39:58.2546713Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-12-04T09:39:58.2547790Z  fi 2025-12-04T09:39:58.2548037Z } 2025-12-04T09:39:58.2548340Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-12-04T09:39:58.2548825Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-12-04T09:39:58.2549383Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-12-04T09:39:58.2549868Z echo "system info $(uname -a)" 2025-12-04T09:39:58.2557916Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:39:58.2558357Z env: 2025-12-04T09:39:58.2558610Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:39:58.2558900Z ##[endgroup] 2025-12-04T09:39:58.2719187Z ami-id: ami-08982f1c5bf93d976 2025-12-04T09:39:58.2837737Z instance-id: i-076282dc4c60ba1f3 2025-12-04T09:39:58.2947294Z instance-type: g4dn.4xlarge 2025-12-04T09:39:58.2959454Z system info Linux ip-10-0-44-244.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep 9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-12-04T09:39:58.2980150Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T09:39:58.2980691Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T09:39:58.2987913Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:39:58.2988354Z env: 2025-12-04T09:39:58.2988595Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:39:58.2988907Z ##[endgroup] 2025-12-04T09:39:59.6692544Z Thu Dec 4 09:39:59 2025 2025-12-04T09:39:59.6693066Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:39:59.6693720Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T09:39:59.6694357Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:39:59.6694993Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:39:59.6695666Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:39:59.6696209Z | | | MIG M. | 2025-12-04T09:39:59.6696627Z |=========================================+========================+======================| 2025-12-04T09:39:59.6797197Z | 0 Tesla T4 Off | 00000000:00:1E.0 Off | 0 | 2025-12-04T09:39:59.6798053Z | N/A 32C P0 26W / 70W | 0MiB / 15360MiB | 9% Default | 2025-12-04T09:39:59.6798559Z | | | N/A | 2025-12-04T09:39:59.6799065Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:39:59.6799438Z 2025-12-04T09:39:59.6799680Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:39:59.6800216Z | Processes: | 2025-12-04T09:39:59.6800775Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:39:59.6801300Z | ID ID Usage | 2025-12-04T09:39:59.6801721Z |=========================================================================================| 2025-12-04T09:39:59.6802261Z | No running processes found | 2025-12-04T09:39:59.6802864Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:40:00.1007806Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:40:00.1008938Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:40:00.1018198Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:00.1018647Z env: 2025-12-04T09:40:00.1018897Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:00.1019205Z ##[endgroup] 2025-12-04T09:40:00.1077488Z ##[group]Run if systemctl is-active --quiet docker; then 2025-12-04T09:40:00.1078001Z if systemctl is-active --quiet docker; then 2025-12-04T09:40:00.1078466Z  echo "Docker daemon is running..."; 2025-12-04T09:40:00.1078871Z else 2025-12-04T09:40:00.1079281Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-12-04T09:40:00.1079783Z fi 2025-12-04T09:40:00.1086019Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:00.1086463Z env: 2025-12-04T09:40:00.1086720Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:00.1087016Z ##[endgroup] 2025-12-04T09:40:00.1178268Z Docker daemon is running... 2025-12-04T09:40:00.1223586Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T09:40:00.1223933Z with: 2025-12-04T09:40:00.1224171Z shell: bash 2025-12-04T09:40:00.1224432Z timeout_minutes: 5 2025-12-04T09:40:00.1224700Z max_attempts: 3 2025-12-04T09:40:00.1224983Z retry_wait_seconds: 30 2025-12-04T09:40:00.1227834Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-12-04T09:40:00.1230801Z polling_interval_seconds: 1 2025-12-04T09:40:00.1231142Z warning_on_retry: true 2025-12-04T09:40:00.1231450Z continue_on_error: false 2025-12-04T09:40:00.1231740Z env: 2025-12-04T09:40:00.1231981Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:00.1232291Z AWS_RETRY_MODE: standard 2025-12-04T09:40:00.1232580Z AWS_MAX_ATTEMPTS: 5 2025-12-04T09:40:00.1232877Z AWS_DEFAULT_REGION: us-east-1 2025-12-04T09:40:00.1233196Z ##[endgroup] 2025-12-04T09:40:01.4661031Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:40:01.4662473Z Configure a credential helper to remove this warning. See 2025-12-04T09:40:01.4663169Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:40:01.4663637Z 2025-12-04T09:40:01.4663738Z Login Succeeded 2025-12-04T09:40:02.3010857Z Command completed after 1 attempt(s). 2025-12-04T09:40:02.3065678Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:40:02.3066332Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:40:02.3066885Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:40:02.3075831Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:02.3076269Z env: 2025-12-04T09:40:02.3076535Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:02.3076849Z ##[endgroup] 2025-12-04T09:40:02.3188024Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:40:02.3188694Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:40:02.3189207Z # shellcheck disable=SC2046 2025-12-04T09:40:02.3189606Z docker stop $(docker ps -q) || true 2025-12-04T09:40:02.3190017Z # Prune all of the docker images 2025-12-04T09:40:02.3190397Z docker system prune -af 2025-12-04T09:40:02.3197034Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:02.3197482Z env: 2025-12-04T09:40:02.3197738Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:02.3198048Z ##[endgroup] 2025-12-04T09:40:02.3515822Z "docker stop" requires at least 1 argument. 2025-12-04T09:40:02.3516276Z See 'docker stop --help'. 2025-12-04T09:40:02.3516479Z 2025-12-04T09:40:02.3516683Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-12-04T09:40:02.3516999Z 2025-12-04T09:40:02.3517141Z Stop one or more running containers 2025-12-04T09:40:02.3847575Z Total reclaimed space: 0B 2025-12-04T09:40:02.4056865Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-12-04T09:40:02.4057430Z with: 2025-12-04T09:40:02.4058370Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:02.4059420Z use-custom-docker-registry: true 2025-12-04T09:40:02.4059788Z docker-build-dir: .ci/docker 2025-12-04T09:40:02.4060134Z docker-build-script: ./build.sh 2025-12-04T09:40:02.4060625Z working-directory: . 2025-12-04T09:40:02.4061122Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:40:02.4061591Z force-push: false 2025-12-04T09:40:02.4061845Z env: 2025-12-04T09:40:02.4062091Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:02.4062394Z ##[endgroup] 2025-12-04T09:40:02.4083360Z ##[group]Run set -ex 2025-12-04T09:40:02.4083701Z set -ex 2025-12-04T09:40:02.4083967Z  2025-12-04T09:40:02.4084469Z # If the docker build directory or the build script doesn't exist, the action will 2025-12-04T09:40:02.4085254Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-12-04T09:40:02.4085928Z # job could then download the pre-built image as usual 2025-12-04T09:40:02.4086744Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-12-04T09:40:02.4087503Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-12-04T09:40:02.4087907Z else 2025-12-04T09:40:02.4088212Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:40:02.4088734Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:40:02.4089198Z  2025-12-04T09:40:02.4089848Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-12-04T09:40:02.4090603Z  exit 0 2025-12-04T09:40:02.4090850Z fi 2025-12-04T09:40:02.4091092Z  2025-12-04T09:40:02.4091483Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-12-04T09:40:02.4092193Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-12-04T09:40:02.4092808Z  # use it as it is, but first let's extract the tag 2025-12-04T09:40:02.4093371Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-12-04T09:40:02.4093980Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:40:02.4094548Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:40:02.4095029Z else 2025-12-04T09:40:02.4095342Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-12-04T09:40:02.4095792Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-12-04T09:40:02.4096245Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-12-04T09:40:02.4096642Z  fi 2025-12-04T09:40:02.4097175Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-12-04T09:40:02.4097881Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:40:02.4098637Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:40:02.4099467Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:40:02.4099990Z fi 2025-12-04T09:40:02.4106854Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:02.4107300Z env: 2025-12-04T09:40:02.4107552Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:02.4107857Z REPO_NAME: pytorch 2025-12-04T09:40:02.4108958Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:02.4110016Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T09:40:02.4110359Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-12-04T09:40:02.4110801Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:40:02.4111284Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-12-04T09:40:02.4111632Z CUSTOM_TAG_PREFIX: 2025-12-04T09:40:02.4111903Z ##[endgroup] 2025-12-04T09:40:02.4139508Z + [[ -d .ci/docker ]] 2025-12-04T09:40:02.4139816Z + [[ -f .ci/docker/./build.sh ]] 2025-12-04T09:40:02.4140322Z + [[ true == \t\r\u\e ]] 2025-12-04T09:40:02.4140627Z + echo skip=false 2025-12-04T09:40:02.4141968Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-12-04T09:40:02.4147758Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:02.4148732Z ++ awk -F '[:,]' '{print $2}' 2025-12-04T09:40:02.4172527Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:02.4173589Z + echo docker-tag=pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:02.4175115Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:02.4200014Z ##[group]Run set +e 2025-12-04T09:40:02.4200356Z set +e 2025-12-04T09:40:02.4200607Z set -x 2025-12-04T09:40:02.4200861Z  2025-12-04T09:40:02.4201106Z login() { 2025-12-04T09:40:02.4201651Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T09:40:02.4202270Z } 2025-12-04T09:40:02.4202518Z  2025-12-04T09:40:02.4202746Z retry () { 2025-12-04T09:40:02.4203061Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T09:40:02.4203437Z } 2025-12-04T09:40:02.4203664Z  2025-12-04T09:40:02.4203934Z retry login "${DOCKER_REGISTRY}" 2025-12-04T09:40:02.4204292Z  2025-12-04T09:40:02.4204544Z START_TIME=$(date +%s) 2025-12-04T09:40:02.4204876Z # Wait up to 120 minutes 2025-12-04T09:40:02.4205306Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-12-04T09:40:02.4205897Z  # Check if image already exists, if it does then skip building it 2025-12-04T09:40:02.4206468Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-12-04T09:40:02.4206896Z  exit 0 2025-12-04T09:40:02.4207169Z  fi 2025-12-04T09:40:02.4207407Z  2025-12-04T09:40:02.4207858Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-12-04T09:40:02.4208644Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-12-04T09:40:02.4209429Z  # latter, it will wait for the Docker images to become available before continuing 2025-12-04T09:40:02.4210032Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-12-04T09:40:02.4210504Z  # It's a Docker build job, let's build the image 2025-12-04T09:40:02.4210910Z  break 2025-12-04T09:40:02.4211184Z  else 2025-12-04T09:40:02.4211569Z  # It's a regular build job, wait for the image to become available 2025-12-04T09:40:02.4212057Z  sleep 300 2025-12-04T09:40:02.4212343Z  fi 2025-12-04T09:40:02.4212580Z done 2025-12-04T09:40:02.4212826Z  2025-12-04T09:40:02.4213232Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-12-04T09:40:02.4214062Z # be empty. The default action would be to continue rebuild the image 2025-12-04T09:40:02.4214676Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-12-04T09:40:02.4215217Z  # if we're on the base branch then use the parent commit 2025-12-04T09:40:02.4215693Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-12-04T09:40:02.4216055Z else 2025-12-04T09:40:02.4216437Z  # otherwise we're on a PR, so use the most recent base commit 2025-12-04T09:40:02.4217002Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-12-04T09:40:02.4217494Z fi 2025-12-04T09:40:02.4217736Z  2025-12-04T09:40:02.4218005Z if [[ -z "${MERGE_BASE}" ]]; then 2025-12-04T09:40:02.4218423Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:40:02.4218796Z  2025-12-04T09:40:02.4219341Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-12-04T09:40:02.4219995Z  exit 0 2025-12-04T09:40:02.4220241Z fi 2025-12-04T09:40:02.4220481Z  2025-12-04T09:40:02.4220928Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-12-04T09:40:02.4221742Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-12-04T09:40:02.4222426Z  exit 1 2025-12-04T09:40:02.4222687Z fi 2025-12-04T09:40:02.4222929Z  2025-12-04T09:40:02.4223336Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-12-04T09:40:02.4224118Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-12-04T09:40:02.4224815Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-12-04T09:40:02.4225623Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-12-04T09:40:02.4226526Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-12-04T09:40:02.4227062Z fi 2025-12-04T09:40:02.4227306Z  2025-12-04T09:40:02.4227595Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:40:02.4234318Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:02.4234762Z env: 2025-12-04T09:40:02.4235016Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:02.4235328Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T09:40:02.4235730Z BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:40:02.4236830Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:02.4238155Z DOCKER_TAG: pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:02.4238964Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:40:02.4239428Z DOCKER_PUSH: 2025-12-04T09:40:02.4239699Z ##[endgroup] 2025-12-04T09:40:02.4265466Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:40:02.4265983Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:40:02.4268391Z + aws ecr get-login-password --region us-east-1 2025-12-04T09:40:02.4270189Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:40:03.0395931Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:40:03.0396695Z Configure a credential helper to remove this warning. See 2025-12-04T09:40:03.0397476Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:40:03.0398374Z 2025-12-04T09:40:03.0398495Z Login Succeeded 2025-12-04T09:40:03.0412996Z ++ date +%s 2025-12-04T09:40:03.0424168Z + START_TIME=1764841203 2025-12-04T09:40:03.0427742Z ++ date +%s 2025-12-04T09:40:03.0438724Z + [[ 1764834003 -lt 1764841203 ]] 2025-12-04T09:40:03.0440001Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:03.2731174Z { 2025-12-04T09:40:03.2731780Z "schemaVersion": 2, 2025-12-04T09:40:03.2732658Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-12-04T09:40:03.2733195Z "config": { 2025-12-04T09:40:03.2733597Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-12-04T09:40:03.2734660Z "size": 34787, 2025-12-04T09:40:03.2735418Z "digest": "sha256:5465aa79632b68f6240c23f0d0b021df4d0fd595333b61a40d36a0cf73656024" 2025-12-04T09:40:03.2736252Z }, 2025-12-04T09:40:03.2736710Z "layers": [ 2025-12-04T09:40:03.2737146Z { 2025-12-04T09:40:03.2737542Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2738035Z "size": 30447951, 2025-12-04T09:40:03.2738534Z "digest": "sha256:63e5bc7682b85ae57a1221210f64d62e7a90b0a30f19af4ca734b8242ae49d63" 2025-12-04T09:40:03.2739088Z }, 2025-12-04T09:40:03.2739315Z { 2025-12-04T09:40:03.2739681Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2740171Z "size": 1554, 2025-12-04T09:40:03.2740643Z "digest": "sha256:835841cca3b7e1464290cdb78e48773e03583413fbed852c3cc5165a392ea44d" 2025-12-04T09:40:03.2741265Z }, 2025-12-04T09:40:03.2741494Z { 2025-12-04T09:40:03.2741880Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2742369Z "size": 313276213, 2025-12-04T09:40:03.2742896Z "digest": "sha256:1bf1bb125deaa5b8a3adf121671e87ba2fa7e229f9eb1dff7ade581cb737175a" 2025-12-04T09:40:03.2743468Z }, 2025-12-04T09:40:03.2743697Z { 2025-12-04T09:40:03.2744063Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2744552Z "size": 787, 2025-12-04T09:40:03.2745033Z "digest": "sha256:b21856d1bf420da6fa8ec7331b82ab355d4f4178644e7d3a3d3d0fbc3610109a" 2025-12-04T09:40:03.2745767Z }, 2025-12-04T09:40:03.2746229Z { 2025-12-04T09:40:03.2746722Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2747394Z "size": 106, 2025-12-04T09:40:03.2747896Z "digest": "sha256:848ba2c095e2b9e6acfb0ecf077adb526fb2fa82ed44cf6648ebde97f296f8ec" 2025-12-04T09:40:03.2748458Z }, 2025-12-04T09:40:03.2748666Z { 2025-12-04T09:40:03.2749045Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2749534Z "size": 704, 2025-12-04T09:40:03.2750026Z "digest": 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"sha256:ab7a7c316fa7a9b7a96304ce96fafdffbc5cc6b960a4bb2def9131b36d9225c5" 2025-12-04T09:40:03.2853747Z }, 2025-12-04T09:40:03.2853955Z { 2025-12-04T09:40:03.2854335Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2854831Z "size": 1012, 2025-12-04T09:40:03.2855306Z "digest": "sha256:c7775ce5574bdde75b4c09a1db19f7d0dc027f1f4c1f961022fc55833133e616" 2025-12-04T09:40:03.2855865Z }, 2025-12-04T09:40:03.2898377Z { 2025-12-04T09:40:03.2898832Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2899330Z "size": 724, 2025-12-04T09:40:03.2899856Z "digest": "sha256:9681563a88ff9e62494a2740e537440d3df978d466c9478d6a941fae8b57b084" 2025-12-04T09:40:03.2900378Z }, 2025-12-04T09:40:03.2900574Z { 2025-12-04T09:40:03.2901020Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2901491Z "size": 134, 2025-12-04T09:40:03.2901945Z "digest": "sha256:81945c4fb228ca73f4bac38b6d8a1eca7139585d4a078219dfaa16ea13945949" 2025-12-04T09:40:03.2902493Z }, 2025-12-04T09:40:03.2902708Z { 2025-12-04T09:40:03.2903061Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2903526Z "size": 32, 2025-12-04T09:40:03.2903994Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T09:40:03.2904531Z }, 2025-12-04T09:40:03.2904751Z { 2025-12-04T09:40:03.2905111Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2905577Z "size": 158, 2025-12-04T09:40:03.2906045Z "digest": "sha256:663cbe24d60bf42bc7a440cb4867e4287cacf54194dd3152406668e61d7e92e5" 2025-12-04T09:40:03.2906595Z }, 2025-12-04T09:40:03.2906812Z { 2025-12-04T09:40:03.2907174Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2907657Z "size": 603, 2025-12-04T09:40:03.2908111Z "digest": "sha256:43f216b027865c8ca16f855703465445f3a548614a4d7e29387337b9651ac25c" 2025-12-04T09:40:03.2908626Z }, 2025-12-04T09:40:03.2908837Z { 2025-12-04T09:40:03.2909355Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2909821Z "size": 724, 2025-12-04T09:40:03.2910277Z "digest": "sha256:9681563a88ff9e62494a2740e537440d3df978d466c9478d6a941fae8b57b084" 2025-12-04T09:40:03.2910803Z }, 2025-12-04T09:40:03.2911003Z { 2025-12-04T09:40:03.2911368Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2911842Z "size": 155, 2025-12-04T09:40:03.2912302Z "digest": "sha256:c47c3cfeb68763aa19727693ad52fe0c80561a98139adaa2ab5eccea35c2d1b4" 2025-12-04T09:40:03.2912929Z }, 2025-12-04T09:40:03.2913143Z { 2025-12-04T09:40:03.2913513Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2913978Z "size": 32, 2025-12-04T09:40:03.2914447Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T09:40:03.2914992Z }, 2025-12-04T09:40:03.2915197Z { 2025-12-04T09:40:03.2915578Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2916068Z "size": 188, 2025-12-04T09:40:03.2916533Z "digest": "sha256:7d326b9e267322de9337ac2a71ddeac4cb61f28a018a6155863f83a164ad9437" 2025-12-04T09:40:03.2917084Z }, 2025-12-04T09:40:03.2917309Z { 2025-12-04T09:40:03.2917672Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2918156Z "size": 1370, 2025-12-04T09:40:03.2918632Z "digest": "sha256:7ec8f17141c8335192fa21b660dfe1fe0ad16b202bc234e7d4ef063b35124158" 2025-12-04T09:40:03.2919191Z }, 2025-12-04T09:40:03.2919397Z { 2025-12-04T09:40:03.2919775Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2920263Z "size": 32, 2025-12-04T09:40:03.2920726Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T09:40:03.2921276Z }, 2025-12-04T09:40:03.2921498Z { 2025-12-04T09:40:03.2921864Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2922355Z "size": 136, 2025-12-04T09:40:03.2922826Z "digest": "sha256:26249ea175bf816b87c4c83e5efb78fd386a800fa10e819ba85b06858bcf877e" 2025-12-04T09:40:03.2923362Z }, 2025-12-04T09:40:03.2923585Z { 2025-12-04T09:40:03.2923965Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2924432Z "size": 529, 2025-12-04T09:40:03.2924906Z "digest": "sha256:5e8e9ccb36f30a8c3a7e6a5011ee5001152f36c9c749397f3e234b1822326dd0" 2025-12-04T09:40:03.2925450Z }, 2025-12-04T09:40:03.2925669Z { 2025-12-04T09:40:03.2926036Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2926516Z "size": 32, 2025-12-04T09:40:03.2926990Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T09:40:03.2927530Z }, 2025-12-04T09:40:03.2927752Z { 2025-12-04T09:40:03.2928131Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2928602Z "size": 104, 2025-12-04T09:40:03.2929081Z "digest": "sha256:5bc72d4e1de83a1a254e8808f727118dd54cf048c14ff298a5299e015a116bfd" 2025-12-04T09:40:03.2929630Z }, 2025-12-04T09:40:03.2929842Z { 2025-12-04T09:40:03.2930226Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2930912Z "size": 436, 2025-12-04T09:40:03.2931373Z "digest": "sha256:83cddbd497794c27254e11c4c00105d1f61399e7fef9d208a0be250724efd2c0" 2025-12-04T09:40:03.2931925Z }, 2025-12-04T09:40:03.2932150Z { 2025-12-04T09:40:03.2932530Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2933010Z "size": 32, 2025-12-04T09:40:03.2933488Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T09:40:03.2934042Z }, 2025-12-04T09:40:03.2934251Z { 2025-12-04T09:40:03.2934629Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2935116Z "size": 109, 2025-12-04T09:40:03.2935728Z "digest": "sha256:60c25d8c3dd2d78785f659204d0b1e64954ca581f89874b68ffe8fee23c6b661" 2025-12-04T09:40:03.2936286Z }, 2025-12-04T09:40:03.2936516Z { 2025-12-04T09:40:03.2936883Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2937374Z "size": 1896, 2025-12-04T09:40:03.2937874Z "digest": "sha256:a534dcf4b9a9e5fabed742c8a8fc43c9cfe7346ea88ab3c177c3b14fd3afe00a" 2025-12-04T09:40:03.2938448Z }, 2025-12-04T09:40:03.2938655Z { 2025-12-04T09:40:03.2939039Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2939629Z "size": 245582017, 2025-12-04T09:40:03.2940113Z "digest": "sha256:10138310c65c78d7de8375225ce37f5f7bfae7898e4e8bbcb90bd56a1bd05db4" 2025-12-04T09:40:03.2940672Z }, 2025-12-04T09:40:03.2940977Z { 2025-12-04T09:40:03.2941344Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2941836Z "size": 106, 2025-12-04T09:40:03.2942319Z "digest": "sha256:8487679f252b6fb703dc9398d73aaeec68df724bfc961579ec5bdae62ebe3a37" 2025-12-04T09:40:03.2942858Z }, 2025-12-04T09:40:03.2943087Z { 2025-12-04T09:40:03.2943469Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2943947Z "size": 162, 2025-12-04T09:40:03.2944428Z "digest": "sha256:52580ee2caa9ab69b0ac640315ee350e847cd0955c0a1eafa933a076669e87ad" 2025-12-04T09:40:03.2944983Z }, 2025-12-04T09:40:03.2945203Z { 2025-12-04T09:40:03.2945567Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2946047Z "size": 7944, 2025-12-04T09:40:03.2946538Z "digest": "sha256:741c215cb2ffb295ab6a07fab3f0dfdde029463779ff9c0bbff4add26a340cfb" 2025-12-04T09:40:03.2947083Z }, 2025-12-04T09:40:03.2947304Z { 2025-12-04T09:40:03.2947682Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2948153Z "size": 8070, 2025-12-04T09:40:03.2948622Z "digest": "sha256:d17f5aba17a608d1c7851cb3940a25d43f063385813051127074f693d0ede19b" 2025-12-04T09:40:03.2949166Z }, 2025-12-04T09:40:03.2949373Z { 2025-12-04T09:40:03.2949751Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2950232Z "size": 304, 2025-12-04T09:40:03.2950704Z "digest": "sha256:bc08246bb4ba18c3ec5bc69e16b6b4e929c5bd0f3fae10eeb0b1a622a63d6fa2" 2025-12-04T09:40:03.2951269Z }, 2025-12-04T09:40:03.2951492Z { 2025-12-04T09:40:03.2951868Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2952343Z "size": 23755574, 2025-12-04T09:40:03.2952833Z "digest": "sha256:7323bf084bf98f915db061b178c56525a0f95bd34d211b381c7527ad242c5a58" 2025-12-04T09:40:03.2953381Z }, 2025-12-04T09:40:03.2953590Z { 2025-12-04T09:40:03.2953970Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2954457Z "size": 108, 2025-12-04T09:40:03.2954935Z "digest": "sha256:d344ecc97fd77c7d12fd68ddb67aeb6cc3dd2e723de5ad1ca2c80b45c8d6bd77" 2025-12-04T09:40:03.2955501Z }, 2025-12-04T09:40:03.2955728Z { 2025-12-04T09:40:03.2956098Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2956590Z "size": 54145663, 2025-12-04T09:40:03.2957086Z "digest": "sha256:fb60b2d2147ff57c218f449f5b680132af8f7f8032ed69f422b48a3c3c1424f4" 2025-12-04T09:40:03.2957641Z }, 2025-12-04T09:40:03.2957848Z { 2025-12-04T09:40:03.2958226Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:03.2958710Z "size": 32, 2025-12-04T09:40:03.2959171Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T09:40:03.2959735Z } 2025-12-04T09:40:03.2959957Z ] 2025-12-04T09:40:03.2960161Z } 2025-12-04T09:40:03.2989629Z ##[group]Run set -eux 2025-12-04T09:40:03.2989943Z set -eux 2025-12-04T09:40:03.2990411Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-12-04T09:40:03.2991864Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true 2025-12-04T09:40:03.2999471Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:03.2999907Z env: 2025-12-04T09:40:03.3000141Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:03.3000439Z ##[endgroup] 2025-12-04T09:40:03.3031972Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-12-04T09:40:03.3033011Z + jq --raw-output .SecretString 2025-12-04T09:40:03.3034483Z + jq -r .docker_hub_readonly_token 2025-12-04T09:40:03.3035870Z + docker login --username pytorchbot --password-stdin 2025-12-04T09:40:03.9109535Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:40:03.9110255Z Configure a credential helper to remove this warning. See 2025-12-04T09:40:03.9111029Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:40:03.9111499Z 2025-12-04T09:40:03.9111642Z Login Succeeded 2025-12-04T09:40:03.9201419Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T09:40:03.9201861Z tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T09:40:03.9202336Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-12-04T09:40:03.9209172Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:03.9209620Z env: 2025-12-04T09:40:03.9209873Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:03.9210860Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:03.9211884Z ##[endgroup] 2025-12-04T09:40:03.9242355Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:03.9292725Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-12-04T09:40:03.9293223Z with: 2025-12-04T09:40:03.9294142Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:03.9295281Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:40:03.9295738Z env: 2025-12-04T09:40:03.9295971Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:03.9296272Z ##[endgroup] 2025-12-04T09:40:03.9312520Z ##[group]Run set -x 2025-12-04T09:40:03.9312830Z set -x 2025-12-04T09:40:03.9313080Z set +e 2025-12-04T09:40:03.9313337Z  2025-12-04T09:40:03.9313607Z login() { 2025-12-04T09:40:03.9314149Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T09:40:03.9314765Z } 2025-12-04T09:40:03.9315008Z  2025-12-04T09:40:03.9315293Z retry () { 2025-12-04T09:40:03.9315596Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T09:40:03.9315964Z } 2025-12-04T09:40:03.9316199Z  2025-12-04T09:40:03.9316469Z retry login "${DOCKER_REGISTRY}" 2025-12-04T09:40:03.9316815Z  2025-12-04T09:40:03.9317388Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-12-04T09:40:03.9318170Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-12-04T09:40:03.9318596Z  2025-12-04T09:40:03.9318834Z set -e 2025-12-04T09:40:03.9319231Z # ignore output since only exit code is used for conditional 2025-12-04T09:40:03.9319812Z # only pull docker image if it's not available locally 2025-12-04T09:40:03.9320436Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-12-04T09:40:03.9321038Z  retry docker pull "${DOCKER_IMAGE}" 2025-12-04T09:40:03.9321413Z fi 2025-12-04T09:40:03.9327421Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:03.9327865Z env: 2025-12-04T09:40:03.9328117Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:03.9329084Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:03.9330202Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:40:03.9330936Z ##[endgroup] 2025-12-04T09:40:03.9356531Z + set +e 2025-12-04T09:40:03.9357237Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:40:03.9357787Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:40:03.9360388Z + aws ecr get-login-password --region us-east-1 2025-12-04T09:40:03.9361880Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:40:04.4958097Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:40:04.4958827Z Configure a credential helper to remove this warning. See 2025-12-04T09:40:04.4959639Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:40:04.4960102Z 2025-12-04T09:40:04.4960216Z Login Succeeded 2025-12-04T09:40:04.4979368Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:04.4980521Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-12-04T09:40:04.7152760Z + IMAGE_SIZE=13438.219573020935 2025-12-04T09:40:04.7153251Z + echo 'Compressed size of image in MB: 13438.219573020935' 2025-12-04T09:40:04.7153708Z + set -e 2025-12-04T09:40:04.7154702Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:04.7156113Z Compressed size of image in MB: 13438.219573020935 2025-12-04T09:40:04.7287581Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:04.7289362Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:04.9619824Z pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image 2025-12-04T09:40:04.9621203Z 63e5bc7682b8: Pulling fs layer 2025-12-04T09:40:04.9621713Z 835841cca3b7: Pulling fs layer 2025-12-04T09:40:04.9622344Z 1bf1bb125dea: Pulling fs layer 2025-12-04T09:40:04.9622950Z b21856d1bf42: Pulling fs layer 2025-12-04T09:40:04.9623522Z 848ba2c095e2: Pulling fs layer 2025-12-04T09:40:04.9624089Z 029495b23122: Pulling fs layer 2025-12-04T09:40:04.9624684Z 073bb82063cf: Pulling fs layer 2025-12-04T09:40:04.9625286Z 59b639308833: Pulling fs layer 2025-12-04T09:40:04.9625758Z 1c6177b2970d: Pulling fs layer 2025-12-04T09:40:04.9626086Z fabe466dd5f3: Pulling fs layer 2025-12-04T09:40:04.9626415Z 2b5a11b41761: Pulling fs layer 2025-12-04T09:40:04.9626723Z 9681563a88ff: Pulling fs layer 2025-12-04T09:40:04.9627050Z dc0780902fca: Pulling fs layer 2025-12-04T09:40:04.9627376Z 5b09a2b135c8: Pulling fs layer 2025-12-04T09:40:04.9627688Z 4f4fb700ef54: Pulling fs layer 2025-12-04T09:40:04.9628017Z 5bfdaeb5578d: Pulling fs layer 2025-12-04T09:40:04.9628355Z 0ef42867f370: Pulling fs layer 2025-12-04T09:40:04.9628661Z 446083e497f3: Pulling fs layer 2025-12-04T09:40:04.9628982Z d8a170bef0f4: Pulling fs layer 2025-12-04T09:40:04.9629316Z e2b6cd6a5bd0: Pulling fs layer 2025-12-04T09:40:04.9629631Z 93efc0181a22: Pulling fs layer 2025-12-04T09:40:04.9630128Z 7454c938f174: Pulling fs layer 2025-12-04T09:40:04.9630797Z 4d57ff55f6d4: Pulling fs layer 2025-12-04T09:40:04.9631405Z b0301534b4a5: Pulling fs layer 2025-12-04T09:40:04.9631947Z 9681563a88ff: Waiting 2025-12-04T09:40:04.9632473Z 1969e15d0c13: Pulling fs layer 2025-12-04T09:40:04.9633069Z 73180a0f2d5a: Pulling fs layer 2025-12-04T09:40:04.9633643Z 073bb82063cf: Waiting 2025-12-04T09:40:04.9634158Z 59b639308833: Waiting 2025-12-04T09:40:04.9634694Z ad81b25cb69f: Pulling fs layer 2025-12-04T09:40:04.9635288Z 8165374f8dcc: Pulling fs layer 2025-12-04T09:40:04.9635907Z 7779c0bb9be2: Pulling fs layer 2025-12-04T09:40:04.9636413Z 4d0a1c027262: Pulling fs layer 2025-12-04T09:40:04.9636725Z a51e0dab2d59: Pulling fs layer 2025-12-04T09:40:04.9637055Z 3eb6d4ff040b: Pulling fs layer 2025-12-04T09:40:04.9637375Z b168858b8537: Pulling fs layer 2025-12-04T09:40:04.9637683Z d77a39278026: Pulling fs layer 2025-12-04T09:40:04.9638203Z dc0780902fca: Waiting 2025-12-04T09:40:04.9638479Z b21856d1bf42: Waiting 2025-12-04T09:40:04.9638755Z 36fbd357280b: Pulling fs layer 2025-12-04T09:40:04.9639077Z 4f4fb700ef54: Waiting 2025-12-04T09:40:04.9639373Z 4e3b10a5dd6a: Pulling fs layer 2025-12-04T09:40:04.9639685Z 848ba2c095e2: Waiting 2025-12-04T09:40:04.9639957Z 3092fab73b59: Pulling fs layer 2025-12-04T09:40:04.9640281Z 20020dd28a15: Pulling fs layer 2025-12-04T09:40:04.9640603Z ae5280ce969d: Pulling fs layer 2025-12-04T09:40:04.9640912Z 026e4484b749: Pulling fs layer 2025-12-04T09:40:04.9641327Z 1be9da2ce53d: Pulling fs layer 2025-12-04T09:40:04.9641706Z 6481b7a1d9fb: Pulling fs layer 2025-12-04T09:40:04.9642031Z fa519d18c39d: Pulling fs layer 2025-12-04T09:40:04.9642366Z d172f25b97f7: Pulling fs layer 2025-12-04T09:40:04.9642889Z fd60ab6b1c2c: Pulling fs layer 2025-12-04T09:40:04.9643473Z 0afe45579c2c: Pulling fs layer 2025-12-04T09:40:04.9644061Z 5884ffd6720b: Pulling fs layer 2025-12-04T09:40:04.9644580Z ab7a7c316fa7: Pulling fs layer 2025-12-04T09:40:04.9644936Z c7775ce5574b: Pulling fs layer 2025-12-04T09:40:04.9645244Z 81945c4fb228: Pulling fs layer 2025-12-04T09:40:04.9645565Z 663cbe24d60b: Pulling fs layer 2025-12-04T09:40:04.9645887Z 43f216b02786: Pulling fs layer 2025-12-04T09:40:04.9646385Z c47c3cfeb687: Pulling fs layer 2025-12-04T09:40:04.9646718Z 7d326b9e2673: Pulling fs layer 2025-12-04T09:40:04.9647046Z 7ec8f17141c8: Pulling fs layer 2025-12-04T09:40:04.9647379Z 26249ea175bf: Pulling fs layer 2025-12-04T09:40:04.9647693Z 5e8e9ccb36f3: Pulling fs layer 2025-12-04T09:40:04.9648022Z 5bc72d4e1de8: Pulling fs layer 2025-12-04T09:40:04.9648348Z 83cddbd49779: Pulling fs layer 2025-12-04T09:40:04.9648661Z 60c25d8c3dd2: Pulling fs layer 2025-12-04T09:40:04.9648987Z a534dcf4b9a9: Pulling fs layer 2025-12-04T09:40:04.9649311Z 10138310c65c: Pulling fs layer 2025-12-04T09:40:04.9649615Z 8487679f252b: Pulling fs layer 2025-12-04T09:40:04.9649936Z 52580ee2caa9: Pulling fs layer 2025-12-04T09:40:04.9650269Z 741c215cb2ff: Pulling fs layer 2025-12-04T09:40:04.9650581Z d17f5aba17a6: Pulling fs layer 2025-12-04T09:40:04.9650906Z bc08246bb4ba: Pulling fs layer 2025-12-04T09:40:04.9651228Z 7323bf084bf9: Pulling fs layer 2025-12-04T09:40:04.9651540Z d344ecc97fd7: Pulling fs layer 2025-12-04T09:40:04.9651873Z fb60b2d2147f: Pulling fs layer 2025-12-04T09:40:04.9652186Z 20020dd28a15: Waiting 2025-12-04T09:40:04.9652467Z ae5280ce969d: Waiting 2025-12-04T09:40:04.9652731Z 5b09a2b135c8: Waiting 2025-12-04T09:40:04.9653003Z 029495b23122: Waiting 2025-12-04T09:40:04.9653269Z 2b5a11b41761: Waiting 2025-12-04T09:40:04.9653524Z 93efc0181a22: Waiting 2025-12-04T09:40:04.9653792Z d172f25b97f7: Waiting 2025-12-04T09:40:04.9654061Z ab7a7c316fa7: Waiting 2025-12-04T09:40:04.9654317Z 1c6177b2970d: Waiting 2025-12-04T09:40:04.9654581Z 026e4484b749: Waiting 2025-12-04T09:40:04.9654847Z c7775ce5574b: Waiting 2025-12-04T09:40:04.9655100Z b168858b8537: Waiting 2025-12-04T09:40:04.9655370Z ad81b25cb69f: Waiting 2025-12-04T09:40:04.9655654Z fabe466dd5f3: Waiting 2025-12-04T09:40:04.9655924Z 1be9da2ce53d: Waiting 2025-12-04T09:40:04.9656201Z 5bfdaeb5578d: Waiting 2025-12-04T09:40:04.9656476Z 7454c938f174: Waiting 2025-12-04T09:40:04.9656732Z 8165374f8dcc: Waiting 2025-12-04T09:40:04.9657003Z d77a39278026: Waiting 2025-12-04T09:40:04.9657286Z 4d57ff55f6d4: Waiting 2025-12-04T09:40:04.9657546Z 36fbd357280b: Waiting 2025-12-04T09:40:04.9657817Z 7779c0bb9be2: Waiting 2025-12-04T09:40:04.9658088Z 0ef42867f370: Waiting 2025-12-04T09:40:04.9658347Z d8a170bef0f4: Waiting 2025-12-04T09:40:04.9658619Z 7d326b9e2673: Waiting 2025-12-04T09:40:04.9658891Z a51e0dab2d59: Waiting 2025-12-04T09:40:04.9659149Z 446083e497f3: Waiting 2025-12-04T09:40:04.9659420Z e2b6cd6a5bd0: Waiting 2025-12-04T09:40:04.9659694Z 5e8e9ccb36f3: Waiting 2025-12-04T09:40:04.9659967Z 26249ea175bf: Waiting 2025-12-04T09:40:04.9660227Z 3eb6d4ff040b: Waiting 2025-12-04T09:40:04.9660493Z 10138310c65c: Waiting 2025-12-04T09:40:04.9660848Z 8487679f252b: Waiting 2025-12-04T09:40:04.9661114Z 5bc72d4e1de8: Waiting 2025-12-04T09:40:04.9661500Z 6481b7a1d9fb: Waiting 2025-12-04T09:40:04.9661774Z 1969e15d0c13: Waiting 2025-12-04T09:40:04.9662043Z 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complete 2025-12-04T09:40:05.5253306Z fabe466dd5f3: Verifying Checksum 2025-12-04T09:40:05.5253835Z fabe466dd5f3: Download complete 2025-12-04T09:40:05.6047671Z 2b5a11b41761: Verifying Checksum 2025-12-04T09:40:05.6048134Z 2b5a11b41761: Download complete 2025-12-04T09:40:05.6892161Z 9681563a88ff: Download complete 2025-12-04T09:40:05.7657356Z dc0780902fca: Verifying Checksum 2025-12-04T09:40:05.7657926Z dc0780902fca: Download complete 2025-12-04T09:40:06.3044839Z 63e5bc7682b8: Pull complete 2025-12-04T09:40:06.3271437Z 835841cca3b7: Pull complete 2025-12-04T09:40:06.5760513Z 1c6177b2970d: Verifying Checksum 2025-12-04T09:40:06.5760907Z 1c6177b2970d: Download complete 2025-12-04T09:40:06.5831977Z 4f4fb700ef54: Download complete 2025-12-04T09:40:06.6775109Z 5bfdaeb5578d: Verifying Checksum 2025-12-04T09:40:06.6775876Z 5bfdaeb5578d: Download complete 2025-12-04T09:40:06.7711998Z 0ef42867f370: Download complete 2025-12-04T09:40:06.8605486Z 446083e497f3: Download complete 2025-12-04T09:40:06.9473126Z d8a170bef0f4: Verifying Checksum 2025-12-04T09:40:06.9473538Z d8a170bef0f4: Download complete 2025-12-04T09:40:07.0415120Z e2b6cd6a5bd0: Verifying Checksum 2025-12-04T09:40:07.0415773Z e2b6cd6a5bd0: Download complete 2025-12-04T09:40:07.1337745Z 93efc0181a22: Verifying Checksum 2025-12-04T09:40:07.1338149Z 93efc0181a22: Download complete 2025-12-04T09:40:07.2290131Z 7454c938f174: Verifying Checksum 2025-12-04T09:40:07.2290554Z 7454c938f174: Download complete 2025-12-04T09:40:07.3066096Z 4d57ff55f6d4: Verifying Checksum 2025-12-04T09:40:07.3066516Z 4d57ff55f6d4: Download complete 2025-12-04T09:40:08.1492681Z 1bf1bb125dea: Verifying Checksum 2025-12-04T09:40:08.1493167Z 1bf1bb125dea: Download complete 2025-12-04T09:40:08.2284946Z 1969e15d0c13: Verifying Checksum 2025-12-04T09:40:08.2285487Z 1969e15d0c13: Download complete 2025-12-04T09:40:08.6259793Z 73180a0f2d5a: Verifying Checksum 2025-12-04T09:40:08.6260623Z 73180a0f2d5a: Download complete 2025-12-04T09:40:08.7270045Z ad81b25cb69f: Verifying Checksum 2025-12-04T09:40:08.7270481Z ad81b25cb69f: Download complete 2025-12-04T09:40:08.8076696Z 8165374f8dcc: Verifying Checksum 2025-12-04T09:40:08.8077115Z 8165374f8dcc: Download complete 2025-12-04T09:40:13.5034273Z 7779c0bb9be2: Verifying Checksum 2025-12-04T09:40:13.5034705Z 7779c0bb9be2: Download complete 2025-12-04T09:40:13.5893673Z 4d0a1c027262: Verifying Checksum 2025-12-04T09:40:13.5894396Z 4d0a1c027262: Download complete 2025-12-04T09:40:13.6865577Z a51e0dab2d59: Verifying Checksum 2025-12-04T09:40:13.6866273Z a51e0dab2d59: Download complete 2025-12-04T09:40:13.7626062Z 3eb6d4ff040b: Download complete 2025-12-04T09:40:13.8427605Z b168858b8537: Verifying Checksum 2025-12-04T09:40:13.8428033Z b168858b8537: Download complete 2025-12-04T09:40:14.0960615Z d77a39278026: Verifying Checksum 2025-12-04T09:40:14.0961027Z d77a39278026: Download complete 2025-12-04T09:40:14.1883646Z 36fbd357280b: Verifying Checksum 2025-12-04T09:40:14.1884272Z 36fbd357280b: Download complete 2025-12-04T09:40:14.2823770Z 4e3b10a5dd6a: Verifying Checksum 2025-12-04T09:40:14.2824226Z 4e3b10a5dd6a: Download complete 2025-12-04T09:40:14.3630086Z 3092fab73b59: Verifying Checksum 2025-12-04T09:40:14.3630870Z 3092fab73b59: Download complete 2025-12-04T09:40:14.4537427Z 20020dd28a15: Verifying Checksum 2025-12-04T09:40:14.4538065Z 20020dd28a15: Download complete 2025-12-04T09:40:14.5457737Z ae5280ce969d: Verifying Checksum 2025-12-04T09:40:14.6414352Z ae5280ce969d: Download complete 2025-12-04T09:40:14.6414892Z 026e4484b749: Verifying Checksum 2025-12-04T09:40:14.6415247Z 026e4484b749: Download complete 2025-12-04T09:40:14.7349841Z 1be9da2ce53d: Verifying Checksum 2025-12-04T09:40:14.7350448Z 1be9da2ce53d: Download complete 2025-12-04T09:40:14.8091207Z 6481b7a1d9fb: Download complete 2025-12-04T09:40:17.2855470Z 1bf1bb125dea: Pull complete 2025-12-04T09:40:17.3922518Z b21856d1bf42: Pull complete 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2025-12-04T09:44:17.8736978Z Digest: sha256:ae30f11a5b50741bd652aa0c94ad89ef791c4e50157eff642748620825cf7940 2025-12-04T09:44:17.8828370Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:44:17.8893754Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:44:17.8968047Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:44:17.8969187Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:44:17.8979484Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:44:17.8979936Z env: 2025-12-04T09:44:17.8980178Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:44:17.8980489Z ##[endgroup] 2025-12-04T09:44:17.9184098Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-12-04T09:44:17.9184598Z with: 2025-12-04T09:44:17.9184855Z driver-version: 525.105.17 2025-12-04T09:44:17.9185160Z env: 2025-12-04T09:44:17.9185393Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:44:17.9185715Z ##[endgroup] 2025-12-04T09:44:17.9237483Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:44:17.9238576Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:44:17.9245285Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:44:17.9245727Z env: 2025-12-04T09:44:17.9245983Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:44:17.9246281Z ##[endgroup] 2025-12-04T09:44:17.9322600Z ##[group]Run set -euo pipefail 2025-12-04T09:44:17.9322982Z set -euo pipefail 2025-12-04T09:44:17.9323338Z  2025-12-04T09:44:17.9323580Z has_gpu=false 2025-12-04T09:44:17.9323872Z devices="" 2025-12-04T09:44:17.9324147Z  2025-12-04T09:44:17.9324458Z if command -v nvidia-smi >/dev/null 2>&1; then 2025-12-04T09:44:17.9325022Z  if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:44:17.9325552Z  has_gpu=true 2025-12-04T09:44:17.9325899Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:44:17.9326260Z  fi 2025-12-04T09:44:17.9326508Z fi 2025-12-04T09:44:17.9326746Z  2025-12-04T09:44:17.9326997Z if [ "$has_gpu" = false ]; then 2025-12-04T09:44:17.9327489Z  if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:44:17.9327946Z  has_gpu=true 2025-12-04T09:44:17.9328331Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:44:17.9328710Z  fi 2025-12-04T09:44:17.9328960Z fi 2025-12-04T09:44:17.9329205Z  2025-12-04T09:44:17.9329554Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then 2025-12-04T09:44:17.9330155Z  if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:44:17.9331080Z  has_gpu=true 2025-12-04T09:44:17.9331416Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:44:17.9331791Z  fi 2025-12-04T09:44:17.9332039Z fi 2025-12-04T09:44:17.9332264Z  2025-12-04T09:44:17.9332617Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT" 2025-12-04T09:44:17.9333252Z printf 'DETECTED_DEVICES<> "$GITHUB_OUTPUT" 2025-12-04T09:44:17.9340046Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:44:17.9340475Z env: 2025-12-04T09:44:17.9340727Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:44:17.9341123Z ##[endgroup] 2025-12-04T09:44:19.4650780Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:44:19.4651246Z if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:44:19.4651691Z  echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}" 2025-12-04T09:44:19.4652306Z  echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-12-04T09:44:19.4652868Z else 2025-12-04T09:44:19.4653185Z  echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}" 2025-12-04T09:44:19.4653589Z fi 2025-12-04T09:44:19.4661510Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:44:19.4661945Z env: 2025-12-04T09:44:19.4662198Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:44:19.4662507Z HAS_NVIDIA: true 2025-12-04T09:44:19.4662762Z ##[endgroup] 2025-12-04T09:44:19.4754232Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2025-12-04T09:44:19.4754730Z with: 2025-12-04T09:44:19.4754970Z timeout_minutes: 10 2025-12-04T09:44:19.4755262Z max_attempts: 3 2025-12-04T09:44:19.4788175Z 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 2025-12-04T09:44:19.4821062Z retry_wait_seconds: 10 2025-12-04T09:44:19.4821391Z polling_interval_seconds: 1 2025-12-04T09:44:19.4821714Z warning_on_retry: true 2025-12-04T09:44:19.4822034Z continue_on_error: false 2025-12-04T09:44:19.4822337Z env: 2025-12-04T09:44:19.4822569Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:44:19.4822874Z HAS_NVIDIA_GPU: true 2025-12-04T09:44:19.4823237Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:44:19.4823717Z DRIVER_VERSION: 525.105.17 2025-12-04T09:44:19.4824022Z ##[endgroup] 2025-12-04T09:44:19.5681322Z == Installing nvidia driver NVIDIA-Linux-x86_64-525.105.17.run == 2025-12-04T09:44:19.5682155Z + pre_install_nvidia_driver_amzn2 2025-12-04T09:44:19.5685732Z + sudo yum remove -y nvidia-driver-latest-dkms 2025-12-04T09:44:20.2983978Z No match for argument: nvidia-driver-latest-dkms 2025-12-04T09:44:20.2984884Z No packages marked for removal. 2025-12-04T09:44:20.3057751Z Dependencies resolved. 2025-12-04T09:44:20.3068647Z Nothing to do. 2025-12-04T09:44:20.3069306Z Complete! 2025-12-04T09:44:20.4345439Z + install_nvidia_driver_common 2025-12-04T09:44:20.4348012Z + echo 'Before installing NVIDIA driver' 2025-12-04T09:44:20.4349545Z + lspci 2025-12-04T09:44:20.4351935Z Before installing NVIDIA driver 2025-12-04T09:44:20.5630284Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-12-04T09:44:20.5631078Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-12-04T09:44:20.5631838Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-12-04T09:44:20.5632508Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-12-04T09:44:20.5633124Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-12-04T09:44:20.5633786Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-12-04T09:44:20.5634423Z 00:1e.0 3D controller: NVIDIA Corporation TU104GL [Tesla T4] (rev a1) 2025-12-04T09:44:20.5635056Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T09:44:20.5635549Z + lsmod 2025-12-04T09:44:20.5676066Z Module Size Used by 2025-12-04T09:44:20.5676802Z nvidia_uvm 1925120 0 2025-12-04T09:44:20.5677154Z nvidia 14286848 1 nvidia_uvm 2025-12-04T09:44:20.5677551Z drm 602112 1 nvidia 2025-12-04T09:44:20.5677932Z drm_panel_orientation_quirks 32768 1 drm 2025-12-04T09:44:20.5678341Z backlight 24576 1 drm 2025-12-04T09:44:20.5678700Z i2c_core 110592 2 nvidia,drm 2025-12-04T09:44:20.5679048Z xt_conntrack 16384 1 2025-12-04T09:44:20.5679374Z nft_chain_nat 16384 3 2025-12-04T09:44:20.5679698Z xt_MASQUERADE 20480 1 2025-12-04T09:44:20.5680052Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-12-04T09:44:20.5680473Z nf_conntrack_netlink 57344 0 2025-12-04T09:44:20.5680982Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-12-04T09:44:20.5681525Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-12-04T09:44:20.5681917Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-12-04T09:44:20.5682285Z xfrm_user 57344 1 2025-12-04T09:44:20.5682601Z xfrm_algo 16384 1 xfrm_user 2025-12-04T09:44:20.5682960Z xt_addrtype 16384 2 2025-12-04T09:44:20.5683285Z nft_compat 20480 4 2025-12-04T09:44:20.5683663Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-12-04T09:44:20.5684173Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-12-04T09:44:20.5684644Z br_netfilter 36864 0 2025-12-04T09:44:20.5684983Z bridge 323584 1 br_netfilter 2025-12-04T09:44:20.5685337Z stp 16384 1 bridge 2025-12-04T09:44:20.5685685Z llc 16384 2 bridge,stp 2025-12-04T09:44:20.5686036Z overlay 167936 0 2025-12-04T09:44:20.5686340Z tls 139264 0 2025-12-04T09:44:20.5686648Z nls_ascii 16384 1 2025-12-04T09:44:20.5686961Z nls_cp437 20480 1 2025-12-04T09:44:20.5687254Z vfat 24576 1 2025-12-04T09:44:20.5687571Z fat 86016 1 vfat 2025-12-04T09:44:20.5687900Z sunrpc 700416 1 2025-12-04T09:44:20.5688205Z ena 184320 0 2025-12-04T09:44:20.5688492Z i8042 45056 0 2025-12-04T09:44:20.5688801Z skx_edac_common 28672 0 2025-12-04T09:44:20.5689249Z serio 28672 3 i8042 2025-12-04T09:44:20.5689582Z ghash_clmulni_intel 16384 0 2025-12-04T09:44:20.5689903Z button 24576 0 2025-12-04T09:44:20.5690218Z sch_fq_codel 20480 17 2025-12-04T09:44:20.5690524Z dm_mod 188416 0 2025-12-04T09:44:20.5690829Z fuse 184320 1 2025-12-04T09:44:20.5691143Z loop 36864 0 2025-12-04T09:44:20.5691439Z configfs 57344 1 2025-12-04T09:44:20.5691750Z dmi_sysfs 20480 0 2025-12-04T09:44:20.5692060Z crc32_pclmul 16384 0 2025-12-04T09:44:20.5692361Z crc32c_intel 24576 0 2025-12-04T09:44:20.5692674Z efivarfs 24576 1 2025-12-04T09:44:20.5692989Z + modinfo nvidia 2025-12-04T09:44:20.5695295Z filename: /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-12-04T09:44:20.5695853Z import_ns: DMA_BUF 2025-12-04T09:44:20.5696163Z alias: char-major-195-* 2025-12-04T09:44:20.5696502Z version: 580.82.07 2025-12-04T09:44:20.5696792Z supported: external 2025-12-04T09:44:20.5697099Z license: Dual MIT/GPL 2025-12-04T09:44:20.5697453Z firmware: nvidia/580.82.07/gsp_tu10x.bin 2025-12-04T09:44:20.5697857Z firmware: nvidia/580.82.07/gsp_ga10x.bin 2025-12-04T09:44:20.5698313Z srcversion: BA7240A71DCF7DC6FE88C1D 2025-12-04T09:44:20.5698746Z alias: of:N*T*Cnvidia,tegra264-displayC* 2025-12-04T09:44:20.5699181Z alias: of:N*T*Cnvidia,tegra264-display 2025-12-04T09:44:20.5699604Z alias: of:N*T*Cnvidia,tegra234-displayC* 2025-12-04T09:44:20.5700076Z alias: of:N*T*Cnvidia,tegra234-display 2025-12-04T09:44:20.5700612Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-12-04T09:44:20.5701111Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-12-04T09:44:20.5701517Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-12-04T09:44:20.5717440Z depends: i2c-core,drm 2025-12-04T09:44:20.5717917Z retpoline: Y 2025-12-04T09:44:20.5718193Z name: nvidia 2025-12-04T09:44:20.5718644Z vermagic: 6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-12-04T09:44:20.5719241Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-12-04T09:44:20.5719800Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-12-04T09:44:20.5720313Z parm: NVreg_ResmanDebugLevel:int 2025-12-04T09:44:20.5720698Z parm: NVreg_RmLogonRC:int 2025-12-04T09:44:20.5721076Z parm: NVreg_ModifyDeviceFiles:int 2025-12-04T09:44:20.5721456Z parm: NVreg_DeviceFileUID:int 2025-12-04T09:44:20.5721835Z parm: NVreg_DeviceFileGID:int 2025-12-04T09:44:20.5722223Z parm: NVreg_DeviceFileMode:int 2025-12-04T09:44:20.5722669Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-12-04T09:44:20.5723138Z parm: NVreg_UsePageAttributeTable:int 2025-12-04T09:44:20.5723554Z parm: NVreg_EnablePCIeGen3:int 2025-12-04T09:44:20.5723931Z parm: NVreg_EnableMSI:int 2025-12-04T09:44:20.5724296Z parm: NVreg_EnableStreamMemOPs:int 2025-12-04T09:44:20.5724744Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-12-04T09:44:20.5725231Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-12-04T09:44:20.5725690Z parm: NVreg_EnableS0ixPowerManagement:int 2025-12-04T09:44:20.5726195Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-12-04T09:44:20.5726700Z parm: NVreg_DynamicPowerManagement:int 2025-12-04T09:44:20.5727219Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-12-04T09:44:20.5727715Z parm: NVreg_EnableGpuFirmware:int 2025-12-04T09:44:20.5728139Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-12-04T09:44:20.5728599Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-12-04T09:44:20.5729051Z parm: NVreg_EnableUserNUMAManagement:int 2025-12-04T09:44:20.5729629Z parm: NVreg_MemoryPoolSize:int 2025-12-04T09:44:20.5730031Z parm: NVreg_KMallocHeapMaxSize:int 2025-12-04T09:44:20.5730431Z parm: NVreg_VMallocHeapMaxSize:int 2025-12-04T09:44:20.5731173Z parm: NVreg_IgnoreMMIOCheck:int 2025-12-04T09:44:20.5731571Z parm: NVreg_NvLinkDisable:int 2025-12-04T09:44:20.5732007Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-12-04T09:44:20.5732445Z parm: NVreg_RegisterPCIDriver:int 2025-12-04T09:44:20.5732890Z parm: NVreg_RegisterPlatformDeviceDriver:int 2025-12-04T09:44:20.5733338Z parm: NVreg_EnableResizableBar:int 2025-12-04T09:44:20.5733739Z parm: NVreg_EnableDbgBreakpoint:int 2025-12-04T09:44:20.5734174Z parm: NVreg_EnableNonblockingOpen:int 2025-12-04T09:44:20.5734614Z parm: NVreg_CoherentGPUMemoryMode:charp 2025-12-04T09:44:20.5735025Z parm: NVreg_RegistryDwords:charp 2025-12-04T09:44:20.5735447Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-12-04T09:44:20.5735860Z parm: NVreg_RmMsg:charp 2025-12-04T09:44:20.5736207Z parm: NVreg_GpuBlacklist:charp 2025-12-04T09:44:20.5736607Z parm: NVreg_TemporaryFilePath:charp 2025-12-04T09:44:20.5737012Z parm: NVreg_ExcludedGpus:charp 2025-12-04T09:44:20.5737407Z parm: NVreg_DmaRemapPeerMmio:int 2025-12-04T09:44:20.5737801Z parm: NVreg_RmNvlinkBandwidth:charp 2025-12-04T09:44:20.5738240Z parm: NVreg_RmNvlinkBandwidthLinkCount:int 2025-12-04T09:44:20.5738673Z parm: NVreg_ImexChannelCount:int 2025-12-04T09:44:20.5739058Z parm: NVreg_CreateImexChannel0:int 2025-12-04T09:44:20.5739482Z parm: NVreg_GrdmaPciTopoCheckOverride:int 2025-12-04T09:44:20.5740058Z parm: rm_firmware_active:charp 2025-12-04T09:44:20.5740410Z + HAS_NVIDIA_DRIVER=0 2025-12-04T09:44:20.5740730Z ++ command -v nvidia-smi 2025-12-04T09:44:20.5741150Z + '[' -x /usr/bin/nvidia-smi ']' 2025-12-04T09:44:20.5741473Z + set +e 2025-12-04T09:44:20.5741849Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0 2025-12-04T09:44:22.0896744Z + INSTALLED_DRIVER_VERSION=580.82.07 2025-12-04T09:44:22.0897159Z + NVIDIA_SMI_STATUS=0 2025-12-04T09:44:22.0897465Z + '[' 0 -ne 0 ']' 2025-12-04T09:44:22.0897739Z + '[' 580.82.07 '!=' 525.105.17 ']' 2025-12-04T09:44:22.0898339Z + echo 'NVIDIA driver (580.82.07) has been installed, but we expect to have 525.105.17 instead. Continuing' 2025-12-04T09:44:22.0898991Z + sudo killall nvidia-persistenced 2025-12-04T09:44:22.0899585Z NVIDIA driver (580.82.07) has been installed, but we expect to have 525.105.17 instead. Continuing 2025-12-04T09:44:22.2765572Z nvidia-persistenced: no process found 2025-12-04T09:44:22.2785153Z + true 2025-12-04T09:44:22.2785454Z + set -e 2025-12-04T09:44:22.2786117Z + '[' 0 -eq 0 ']' 2025-12-04T09:44:22.2786444Z + '[' amzn2023 '!=' ubuntu20.04 ']' 2025-12-04T09:44:22.2786887Z + sudo yum groupinstall -y 'Development Tools' 2025-12-04T09:44:22.8264738Z Last metadata expiration check: 0:07:56 ago on Thu Dec 4 09:36:26 2025. 2025-12-04T09:44:22.8701899Z No match for group package "system-rpm-config" 2025-12-04T09:44:22.8721654Z No match for group package "rcs" 2025-12-04T09:44:22.8747961Z No match for group package "pkgconfig" 2025-12-04T09:44:22.9329471Z Dependencies resolved. 2025-12-04T09:44:22.9660602Z ================================================================================ 2025-12-04T09:44:22.9661210Z Package Architecture Version Repository Size 2025-12-04T09:44:22.9661740Z ================================================================================ 2025-12-04T09:44:22.9662126Z Installing Groups: 2025-12-04T09:44:22.9662546Z Development Tools 2025-12-04T09:44:22.9662897Z 2025-12-04T09:44:22.9663006Z Transaction Summary 2025-12-04T09:44:22.9663313Z ================================================================================ 2025-12-04T09:44:22.9663584Z 2025-12-04T09:44:23.8575894Z ================================================================================ 2025-12-04T09:44:23.8576389Z WARNING: 2025-12-04T09:44:23.8576699Z A newer release of "Amazon Linux" is available. 2025-12-04T09:44:23.8576991Z 2025-12-04T09:44:23.8577120Z Available Versions: 2025-12-04T09:44:23.8577302Z 2025-12-04T09:44:23.8577426Z Version 2023.9.20250929: 2025-12-04T09:44:23.8577802Z Run the following command to upgrade to 2023.9.20250929: 2025-12-04T09:44:23.8578137Z 2025-12-04T09:44:23.8578284Z dnf upgrade --releasever=2023.9.20250929 2025-12-04T09:44:23.8578549Z 2025-12-04T09:44:23.8578667Z Release notes: 2025-12-04T09:44:23.8579201Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20250929.html 2025-12-04T09:44:23.8579686Z 2025-12-04T09:44:23.8579792Z Version 2023.9.20251014: 2025-12-04T09:44:23.8580177Z Run the following command to upgrade to 2023.9.20251014: 2025-12-04T09:44:23.8580495Z 2025-12-04T09:44:23.8580646Z dnf upgrade --releasever=2023.9.20251014 2025-12-04T09:44:23.8580992Z 2025-12-04T09:44:23.8581095Z Release notes: 2025-12-04T09:44:23.8581594Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251014.html 2025-12-04T09:44:23.8582107Z 2025-12-04T09:44:23.8582273Z Version 2023.9.20251020: 2025-12-04T09:44:23.8582851Z Run the following command to upgrade to 2023.9.20251020: 2025-12-04T09:44:23.8583197Z 2025-12-04T09:44:23.8583339Z dnf upgrade --releasever=2023.9.20251020 2025-12-04T09:44:23.8583613Z 2025-12-04T09:44:23.8583715Z Release notes: 2025-12-04T09:44:23.8584211Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251020.html 2025-12-04T09:44:23.8584678Z 2025-12-04T09:44:23.8585083Z Version 2023.9.20251027: 2025-12-04T09:44:23.8585472Z Run the following command to upgrade to 2023.9.20251027: 2025-12-04T09:44:23.8585785Z 2025-12-04T09:44:23.8585936Z dnf upgrade --releasever=2023.9.20251027 2025-12-04T09:44:23.8586209Z 2025-12-04T09:44:23.8586324Z Release notes: 2025-12-04T09:44:23.8586806Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251027.html 2025-12-04T09:44:23.8587282Z 2025-12-04T09:44:23.8587388Z Version 2023.9.20251105: 2025-12-04T09:44:23.8587771Z Run the following command to upgrade to 2023.9.20251105: 2025-12-04T09:44:23.8588084Z 2025-12-04T09:44:23.8588220Z dnf upgrade --releasever=2023.9.20251105 2025-12-04T09:44:23.8588493Z 2025-12-04T09:44:23.8588595Z Release notes: 2025-12-04T09:44:23.8589093Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251105.html 2025-12-04T09:44:23.8589556Z 2025-12-04T09:44:23.8589675Z Version 2023.9.20251110: 2025-12-04T09:44:23.8590055Z Run the following command to upgrade to 2023.9.20251110: 2025-12-04T09:44:23.8590382Z 2025-12-04T09:44:23.8590520Z dnf upgrade --releasever=2023.9.20251110 2025-12-04T09:44:23.8590778Z 2025-12-04T09:44:23.8590894Z Release notes: 2025-12-04T09:44:23.8591381Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251110.html 2025-12-04T09:44:23.8591864Z 2025-12-04T09:44:23.8591971Z Version 2023.9.20251117: 2025-12-04T09:44:23.8592350Z Run the following command to upgrade to 2023.9.20251117: 2025-12-04T09:44:23.8592663Z 2025-12-04T09:44:23.8592812Z dnf upgrade --releasever=2023.9.20251117 2025-12-04T09:44:23.8593069Z 2025-12-04T09:44:23.8593170Z Release notes: 2025-12-04T09:44:23.8593661Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251117.html 2025-12-04T09:44:23.8594136Z 2025-12-04T09:44:23.8594267Z ================================================================================ 2025-12-04T09:44:23.8594664Z Complete! 2025-12-04T09:44:23.9500785Z ++ uname -r 2025-12-04T09:44:23.9512401Z + sudo yum install -y 'kernel-devel-uname-r == 6.1.150-174.273.amzn2023.x86_64' 2025-12-04T09:44:24.5256232Z Last metadata expiration check: 0:07:58 ago on Thu Dec 4 09:36:26 2025. 2025-12-04T09:44:24.5561484Z Using '==' operator in reldeps can result in an undefined behavior. It is deprecated and the support will be dropped in future versions. Use '=' operator instead. 2025-12-04T09:44:24.5689191Z Package kernel-devel-1:6.1.150-174.273.amzn2023.x86_64 is already installed. 2025-12-04T09:44:24.6319014Z Dependencies resolved. 2025-12-04T09:44:24.6657210Z Nothing to do. 2025-12-04T09:44:24.6658299Z Complete! 2025-12-04T09:44:24.7573760Z + sudo modprobe backlight 2025-12-04T09:44:24.9219355Z + sudo curl -fsL -o /tmp/nvidia_driver https://s3.amazonaws.com/ossci-linux/nvidia_driver/NVIDIA-Linux-x86_64-525.105.17.run 2025-12-04T09:44:29.2770472Z + set +e 2025-12-04T09:44:29.2770857Z + sudo /bin/bash /tmp/nvidia_driver -s --no-drm 2025-12-04T09:44:30.7786716Z Verifying archive integrity... OK 2025-12-04T09:44:58.1263760Z Uncompressing NVIDIA Accelerated Graphics Driver for Linux-x86_64 525.105.17................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................... 2025-12-04T09:44:58.8215934Z 2025-12-04T09:44:58.8218635Z WARNING: The nvidia-drm module will not be installed. As a result, DRM-KMS will not function with this installation of the NVIDIA driver. 2025-12-04T09:44:58.8219394Z 2025-12-04T09:45:24.6304494Z 2025-12-04T09:45:24.6306451Z WARNING: nvidia-installer was forced to guess the X library path '/usr/lib64' and X module path '/usr/lib64/xorg/modules'; these paths were not queryable from the system. If X fails to find the NVIDIA X driver module, please install the `pkg-config` utility and the X.Org SDK/development package for your distribution and reinstall the driver. 2025-12-04T09:45:24.6308223Z 2025-12-04T09:45:24.6323018Z 2025-12-04T09:45:24.6324465Z WARNING: This NVIDIA driver package includes Vulkan components, but no Vulkan ICD loader was detected on this system. The NVIDIA Vulkan ICD will not function without the loader. Most distributions package the Vulkan loader; try installing the "vulkan-loader", "vulkan-icd-loader", or "libvulkan1" package. 2025-12-04T09:45:24.6325976Z 2025-12-04T09:45:36.2877311Z + NVIDIA_INSTALLATION_STATUS=0 2025-12-04T09:45:36.2877735Z + RESET_GPU=0 2025-12-04T09:45:36.2878006Z + '[' 0 -ne 0 ']' 2025-12-04T09:45:36.2880254Z ++ command -v nvidia-smi 2025-12-04T09:45:36.2883267Z + '[' -x /usr/bin/nvidia-smi ']' 2025-12-04T09:45:36.2887536Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0 2025-12-04T09:45:38.8852898Z + INSTALLED_DRIVER_VERSION=525.105.17 2025-12-04T09:45:38.8853312Z + NVIDIA_SMI_STATUS=0 2025-12-04T09:45:38.8853619Z + '[' 0 -ne 0 ']' 2025-12-04T09:45:38.8853884Z + '[' 0 -eq 1 ']' 2025-12-04T09:45:38.8854155Z + sudo rm -fv /tmp/nvidia_driver 2025-12-04T09:45:39.0558599Z removed '/tmp/nvidia_driver' 2025-12-04T09:45:39.0578450Z + set -e 2025-12-04T09:45:39.0581597Z + post_install_nvidia_driver_common 2025-12-04T09:45:39.0585391Z + sudo modprobe nvidia 2025-12-04T09:45:39.3120350Z + echo 'After installing NVIDIA driver' 2025-12-04T09:45:39.3120835Z + lspci 2025-12-04T09:45:39.3121210Z After installing NVIDIA driver 2025-12-04T09:45:39.3261321Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-12-04T09:45:39.3262363Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-12-04T09:45:39.3263065Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-12-04T09:45:39.3263734Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-12-04T09:45:39.3264349Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-12-04T09:45:39.3265030Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-12-04T09:45:39.3265667Z 00:1e.0 3D controller: NVIDIA Corporation TU104GL [Tesla T4] (rev a1) 2025-12-04T09:45:39.3266284Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T09:45:39.3266805Z + lsmod 2025-12-04T09:45:39.3294920Z Module Size Used by 2025-12-04T09:45:39.3295267Z nvidia 56537088 0 2025-12-04T09:45:39.3295591Z drm 602112 1 nvidia 2025-12-04T09:45:39.3295975Z drm_panel_orientation_quirks 32768 1 drm 2025-12-04T09:45:39.3296359Z backlight 24576 1 drm 2025-12-04T09:45:39.3296715Z i2c_core 110592 2 nvidia,drm 2025-12-04T09:45:39.3297078Z xt_conntrack 16384 1 2025-12-04T09:45:39.3297398Z nft_chain_nat 16384 3 2025-12-04T09:45:39.3297706Z xt_MASQUERADE 20480 1 2025-12-04T09:45:39.3298079Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-12-04T09:45:39.3298494Z nf_conntrack_netlink 57344 0 2025-12-04T09:45:39.3298983Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-12-04T09:45:39.3299538Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-12-04T09:45:39.3300099Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-12-04T09:45:39.3300459Z xfrm_user 57344 1 2025-12-04T09:45:39.3300876Z xfrm_algo 16384 1 xfrm_user 2025-12-04T09:45:39.3301252Z xt_addrtype 16384 2 2025-12-04T09:45:39.3301580Z nft_compat 20480 4 2025-12-04T09:45:39.3301954Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-12-04T09:45:39.3302478Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-12-04T09:45:39.3302952Z br_netfilter 36864 0 2025-12-04T09:45:39.3303287Z bridge 323584 1 br_netfilter 2025-12-04T09:45:39.3303657Z stp 16384 1 bridge 2025-12-04T09:45:39.3304011Z llc 16384 2 bridge,stp 2025-12-04T09:45:39.3304352Z overlay 167936 0 2025-12-04T09:45:39.3304662Z tls 139264 0 2025-12-04T09:45:39.3304970Z nls_ascii 16384 1 2025-12-04T09:45:39.3305281Z nls_cp437 20480 1 2025-12-04T09:45:39.3305584Z vfat 24576 1 2025-12-04T09:45:39.3305893Z fat 86016 1 vfat 2025-12-04T09:45:39.3306224Z sunrpc 700416 1 2025-12-04T09:45:39.3306517Z ena 184320 0 2025-12-04T09:45:39.3306821Z i8042 45056 0 2025-12-04T09:45:39.3307133Z skx_edac_common 28672 0 2025-12-04T09:45:39.3307438Z serio 28672 3 i8042 2025-12-04T09:45:39.3307783Z ghash_clmulni_intel 16384 0 2025-12-04T09:45:39.3308102Z button 24576 0 2025-12-04T09:45:39.3308403Z sch_fq_codel 20480 17 2025-12-04T09:45:39.3308721Z dm_mod 188416 0 2025-12-04T09:45:39.3309023Z fuse 184320 1 2025-12-04T09:45:39.3309313Z loop 36864 0 2025-12-04T09:45:39.3309621Z configfs 57344 1 2025-12-04T09:45:39.3309932Z dmi_sysfs 20480 0 2025-12-04T09:45:39.3310232Z crc32_pclmul 16384 0 2025-12-04T09:45:39.3310544Z crc32c_intel 24576 0 2025-12-04T09:45:39.3310863Z efivarfs 24576 1 2025-12-04T09:45:39.3311176Z + modinfo nvidia 2025-12-04T09:45:39.3313777Z filename: /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-12-04T09:45:39.3314392Z firmware: nvidia/525.105.17/gsp_tu10x.bin 2025-12-04T09:45:39.3314936Z firmware: nvidia/525.105.17/gsp_ad10x.bin 2025-12-04T09:45:39.3315325Z alias: char-major-195-* 2025-12-04T09:45:39.3315662Z version: 525.105.17 2025-12-04T09:45:39.3315971Z supported: external 2025-12-04T09:45:39.3316257Z license: NVIDIA 2025-12-04T09:45:39.3316564Z srcversion: 98F82D76E0EF3952EEE57A7 2025-12-04T09:45:39.3316961Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-12-04T09:45:39.3317389Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-12-04T09:45:39.3317791Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-12-04T09:45:39.3318181Z depends: i2c-core,drm 2025-12-04T09:45:39.3318498Z retpoline: Y 2025-12-04T09:45:39.3318763Z name: nvidia 2025-12-04T09:45:39.3319231Z vermagic: 6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-12-04T09:45:39.3319830Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-12-04T09:45:39.3320395Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-12-04T09:45:39.3320913Z parm: NVreg_ResmanDebugLevel:int 2025-12-04T09:45:39.3321304Z parm: NVreg_RmLogonRC:int 2025-12-04T09:45:39.3321681Z parm: NVreg_ModifyDeviceFiles:int 2025-12-04T09:45:39.3322063Z parm: NVreg_DeviceFileUID:int 2025-12-04T09:45:39.3322441Z parm: NVreg_DeviceFileGID:int 2025-12-04T09:45:39.3322820Z parm: NVreg_DeviceFileMode:int 2025-12-04T09:45:39.3323252Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-12-04T09:45:39.3323738Z parm: NVreg_UsePageAttributeTable:int 2025-12-04T09:45:39.3324156Z parm: NVreg_EnablePCIeGen3:int 2025-12-04T09:45:39.3324619Z parm: NVreg_EnableMSI:int 2025-12-04T09:45:39.3324968Z parm: NVreg_TCEBypassMode:int 2025-12-04T09:45:39.3325360Z parm: NVreg_EnableStreamMemOPs:int 2025-12-04T09:45:39.3325807Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-12-04T09:45:39.3326298Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-12-04T09:45:39.3326773Z parm: NVreg_EnableS0ixPowerManagement:int 2025-12-04T09:45:39.3327284Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-12-04T09:45:39.3327775Z parm: NVreg_DynamicPowerManagement:int 2025-12-04T09:45:39.3328292Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-12-04T09:45:39.3328799Z parm: NVreg_EnableGpuFirmware:int 2025-12-04T09:45:39.3329216Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-12-04T09:45:39.3329660Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-12-04T09:45:39.3330121Z parm: NVreg_EnableUserNUMAManagement:int 2025-12-04T09:45:39.3330770Z parm: NVreg_MemoryPoolSize:int 2025-12-04T09:45:39.3331166Z parm: NVreg_KMallocHeapMaxSize:int 2025-12-04T09:45:39.3331577Z parm: NVreg_VMallocHeapMaxSize:int 2025-12-04T09:45:39.3331983Z parm: NVreg_IgnoreMMIOCheck:int 2025-12-04T09:45:39.3332367Z parm: NVreg_NvLinkDisable:int 2025-12-04T09:45:39.3332796Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-12-04T09:45:39.3333247Z parm: NVreg_RegisterPCIDriver:int 2025-12-04T09:45:39.3333661Z parm: NVreg_EnableDbgBreakpoint:int 2025-12-04T09:45:39.3334061Z parm: NVreg_RegistryDwords:charp 2025-12-04T09:45:39.3334485Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-12-04T09:45:39.3334897Z parm: NVreg_RmMsg:charp 2025-12-04T09:45:39.3335242Z parm: NVreg_GpuBlacklist:charp 2025-12-04T09:45:39.3335643Z parm: NVreg_TemporaryFilePath:charp 2025-12-04T09:45:39.3336049Z parm: NVreg_ExcludedGpus:charp 2025-12-04T09:45:39.3336431Z parm: NVreg_DmaRemapPeerMmio:int 2025-12-04T09:45:39.3336818Z parm: rm_firmware_active:charp 2025-12-04T09:45:39.3337167Z + set +e 2025-12-04T09:45:39.3337387Z + nvidia-smi 2025-12-04T09:45:41.3095905Z Thu Dec 4 09:45:41 2025 2025-12-04T09:45:41.3096735Z +-----------------------------------------------------------------------------+ 2025-12-04T09:45:41.3097345Z | NVIDIA-SMI 525.105.17 Driver Version: 525.105.17 CUDA Version: 12.0 | 2025-12-04T09:45:41.3097937Z |-------------------------------+----------------------+----------------------+ 2025-12-04T09:45:41.3098526Z | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:45:41.3099182Z | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:45:41.3099707Z | | | MIG M. | 2025-12-04T09:45:41.3100104Z |===============================+======================+======================| 2025-12-04T09:45:41.3175588Z | 0 Tesla T4 Off | 00000000:00:1E.0 Off | 0 | 2025-12-04T09:45:41.3176285Z | N/A 26C P0 26W / 70W | 2MiB / 15360MiB | 4% Default | 2025-12-04T09:45:41.3176759Z | | | N/A | 2025-12-04T09:45:41.3177227Z +-------------------------------+----------------------+----------------------+ 2025-12-04T09:45:41.3177693Z 2025-12-04T09:45:41.3178272Z +-----------------------------------------------------------------------------+ 2025-12-04T09:45:41.3178858Z | Processes: | 2025-12-04T09:45:41.3179370Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:45:41.3179861Z | ID ID Usage | 2025-12-04T09:45:41.3180583Z |=============================================================================| 2025-12-04T09:45:41.3181190Z | No running processes found | 2025-12-04T09:45:41.3181741Z +-----------------------------------------------------------------------------+ 2025-12-04T09:45:41.7758154Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 2025-12-04T09:45:43.7489614Z Tesla T4 2025-12-04T09:45:44.1444917Z + NVIDIA_SMI_STATUS=0 2025-12-04T09:45:44.1445269Z + '[' 0 -eq 0 ']' 2025-12-04T09:45:44.1445583Z + echo 'INFO: Ignoring allowed status 0' 2025-12-04T09:45:44.1445947Z + set -e 2025-12-04T09:45:44.1446194Z INFO: Ignoring allowed status 0 2025-12-04T09:45:44.1451951Z == Installing nvidia container toolkit for amzn2023 == 2025-12-04T09:45:44.1456144Z + sudo yum install -y yum-utils 2025-12-04T09:45:44.6848155Z Last metadata expiration check: 0:09:18 ago on Thu Dec 4 09:36:26 2025. 2025-12-04T09:45:44.7188047Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed. 2025-12-04T09:45:44.7811427Z Dependencies resolved. 2025-12-04T09:45:44.8160737Z Nothing to do. 2025-12-04T09:45:44.8161440Z Complete! 2025-12-04T09:45:44.9068802Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]] 2025-12-04T09:45:44.9069534Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:45:44.9070658Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:45:45.2500477Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:45:45.3092883Z + 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 2025-12-04T09:45:45.9482071Z nvidia-container-toolkit 20 kB/s | 833 B 00:00 2025-12-04T09:45:46.0505725Z Dependencies resolved. 2025-12-04T09:45:46.0840878Z ================================================================================ 2025-12-04T09:45:46.0841428Z Package Arch Version Repository Size 2025-12-04T09:45:46.0841913Z ================================================================================ 2025-12-04T09:45:46.0842588Z Downgrading: 2025-12-04T09:45:46.0843037Z libnvidia-container-tools x86_64 1.17.8-1 nvidia-container-toolkit 40 k 2025-12-04T09:45:46.0843755Z libnvidia-container1 x86_64 1.17.8-1 nvidia-container-toolkit 1.0 M 2025-12-04T09:45:46.0844462Z nvidia-container-toolkit x86_64 1.17.8-1 nvidia-container-toolkit 1.2 M 2025-12-04T09:45:46.0845196Z nvidia-container-toolkit-base x86_64 1.17.8-1 nvidia-container-toolkit 5.8 M 2025-12-04T09:45:46.0845656Z 2025-12-04T09:45:46.0845767Z Transaction Summary 2025-12-04T09:45:46.0846076Z ================================================================================ 2025-12-04T09:45:46.0846467Z Downgrade 4 Packages 2025-12-04T09:45:46.0846647Z 2025-12-04T09:45:46.0846776Z Total download size: 8.0 M 2025-12-04T09:45:46.0848204Z Downloading Packages: 2025-12-04T09:45:46.1323234Z (1/4): libnvidia-container-tools-1.17.8-1.x86_6 879 kB/s | 40 kB 00:00 2025-12-04T09:45:46.1833948Z (2/4): libnvidia-container1-1.17.8-1.x86_64.rpm 10 MB/s | 1.0 MB 00:00 2025-12-04T09:45:46.2335219Z (3/4): nvidia-container-toolkit-1.17.8-1.x86_64 8.4 MB/s | 1.2 MB 00:00 2025-12-04T09:45:46.3831710Z (4/4): nvidia-container-toolkit-base-1.17.8-1.x 23 MB/s | 5.8 MB 00:00 2025-12-04T09:45:46.3844434Z -------------------------------------------------------------------------------- 2025-12-04T09:45:46.3848782Z Total 27 MB/s | 8.0 MB 00:00 2025-12-04T09:45:46.3851936Z Running transaction check 2025-12-04T09:45:46.4007347Z Transaction check succeeded. 2025-12-04T09:45:46.4008078Z Running transaction test 2025-12-04T09:45:46.4563367Z Transaction test succeeded. 2025-12-04T09:45:46.4566798Z Running transaction 2025-12-04T09:45:47.4710057Z Preparing : 1/1 2025-12-04T09:45:47.6277508Z Downgrading : nvidia-container-toolkit-base-1.17.8-1.x86_64 1/8 2025-12-04T09:45:47.6595958Z Downgrading : libnvidia-container1-1.17.8-1.x86_64 2/8 2025-12-04T09:45:47.7290454Z Running scriptlet: libnvidia-container1-1.17.8-1.x86_64 2/8 2025-12-04T09:45:47.8859939Z Downgrading : libnvidia-container-tools-1.17.8-1.x86_64 3/8 2025-12-04T09:45:47.9202989Z Downgrading : nvidia-container-toolkit-1.17.8-1.x86_64 4/8 2025-12-04T09:45:48.0054402Z Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64 4/8 2025-12-04T09:45:48.0126490Z Running scriptlet: nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:45:48.0127802Z Cleanup : nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:45:48.0396428Z Running scriptlet: nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:45:48.0448079Z Running scriptlet: libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:45:48.0449034Z Cleanup : libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:45:48.0760517Z Running scriptlet: libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:45:48.0829378Z Running scriptlet: libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:45:48.0830700Z Cleanup : libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:45:48.1209161Z Running scriptlet: libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:45:48.1274866Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:45:48.1276175Z Cleanup : nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:45:48.1683878Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:45:48.2258912Z Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64 8/8 2025-12-04T09:45:50.3247788Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:45:50.3248954Z Verifying : libnvidia-container-tools-1.17.8-1.x86_64 1/8 2025-12-04T09:45:50.3249627Z Verifying : libnvidia-container-tools-1.18.1-1.x86_64 2/8 2025-12-04T09:45:50.3250294Z Verifying : libnvidia-container1-1.17.8-1.x86_64 3/8 2025-12-04T09:45:50.3250955Z Verifying : libnvidia-container1-1.18.1-1.x86_64 4/8 2025-12-04T09:45:50.3251621Z Verifying : nvidia-container-toolkit-1.17.8-1.x86_64 5/8 2025-12-04T09:45:50.3252275Z Verifying : nvidia-container-toolkit-1.18.1-1.x86_64 6/8 2025-12-04T09:45:50.3252945Z Verifying : nvidia-container-toolkit-base-1.17.8-1.x86_64 7/8 2025-12-04T09:45:50.4794641Z Verifying : nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8================================================================================ 2025-12-04T09:45:50.4795376Z WARNING: 2025-12-04T09:45:50.4795683Z A newer release of "Amazon Linux" is available. 2025-12-04T09:45:50.4795985Z 2025-12-04T09:45:50.4796108Z Available Versions: 2025-12-04T09:45:50.4796290Z 2025-12-04T09:45:50.4796398Z Version 2023.9.20250929: 2025-12-04T09:45:50.4796788Z Run the following command to upgrade to 2023.9.20250929: 2025-12-04T09:45:50.4797109Z 2025-12-04T09:45:50.4797280Z dnf upgrade --releasever=2023.9.20250929 2025-12-04T09:45:50.4797542Z 2025-12-04T09:45:50.4797645Z Release notes: 2025-12-04T09:45:50.4798164Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20250929.html 2025-12-04T09:45:50.4798645Z 2025-12-04T09:45:50.4798751Z Version 2023.9.20251014: 2025-12-04T09:45:50.4799360Z Run the following command to upgrade to 2023.9.20251014: 2025-12-04T09:45:50.4799682Z 2025-12-04T09:45:50.4799822Z dnf upgrade --releasever=2023.9.20251014 2025-12-04T09:45:50.4800100Z 2025-12-04T09:45:50.4800204Z Release notes: 2025-12-04T09:45:50.4800708Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251014.html 2025-12-04T09:45:50.4801182Z 2025-12-04T09:45:50.4801305Z Version 2023.9.20251020: 2025-12-04T09:45:50.4801676Z Run the following command to upgrade to 2023.9.20251020: 2025-12-04T09:45:50.4802006Z 2025-12-04T09:45:50.4802144Z dnf upgrade --releasever=2023.9.20251020 2025-12-04T09:45:50.4802403Z 2025-12-04T09:45:50.4802520Z Release notes: 2025-12-04T09:45:50.4803000Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251020.html 2025-12-04T09:45:50.4803478Z 2025-12-04T09:45:50.4803583Z Version 2023.9.20251027: 2025-12-04T09:45:50.4803963Z Run the following command to upgrade to 2023.9.20251027: 2025-12-04T09:45:50.4804276Z 2025-12-04T09:45:50.4804429Z dnf upgrade --releasever=2023.9.20251027 2025-12-04T09:45:50.4804687Z 2025-12-04T09:45:50.4804787Z Release notes: 2025-12-04T09:45:50.4805282Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251027.html 2025-12-04T09:45:50.4805778Z 2025-12-04T09:45:50.4805886Z Version 2023.9.20251105: 2025-12-04T09:45:50.4806269Z Run the following command to upgrade to 2023.9.20251105: 2025-12-04T09:45:50.4806586Z 2025-12-04T09:45:50.4806719Z dnf upgrade --releasever=2023.9.20251105 2025-12-04T09:45:50.4806991Z 2025-12-04T09:45:50.4807093Z Release notes: 2025-12-04T09:45:50.4807586Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251105.html 2025-12-04T09:45:50.4808051Z 2025-12-04T09:45:50.4808168Z Version 2023.9.20251110: 2025-12-04T09:45:50.4808538Z Run the following command to upgrade to 2023.9.20251110: 2025-12-04T09:45:50.4808863Z 2025-12-04T09:45:50.4808998Z dnf upgrade --releasever=2023.9.20251110 2025-12-04T09:45:50.4809262Z 2025-12-04T09:45:50.4809376Z Release notes: 2025-12-04T09:45:50.4809854Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251110.html 2025-12-04T09:45:50.4810335Z 2025-12-04T09:45:50.4810437Z Version 2023.9.20251117: 2025-12-04T09:45:50.4810967Z Run the following command to upgrade to 2023.9.20251117: 2025-12-04T09:45:50.4811278Z 2025-12-04T09:45:50.4811428Z dnf upgrade --releasever=2023.9.20251117 2025-12-04T09:45:50.4811688Z 2025-12-04T09:45:50.4811789Z Release notes: 2025-12-04T09:45:50.4812282Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251117.html 2025-12-04T09:45:50.4812745Z 2025-12-04T09:45:50.4812891Z ================================================================================ 2025-12-04T09:45:50.5491332Z 2025-12-04T09:45:50.5491491Z 2025-12-04T09:45:50.5491596Z Downgraded: 2025-12-04T09:45:50.5492050Z libnvidia-container-tools-1.17.8-1.x86_64 2025-12-04T09:45:50.5492766Z libnvidia-container1-1.17.8-1.x86_64 2025-12-04T09:45:50.5493445Z nvidia-container-toolkit-1.17.8-1.x86_64 2025-12-04T09:45:50.5494172Z nvidia-container-toolkit-base-1.17.8-1.x86_64 2025-12-04T09:45:50.5494627Z 2025-12-04T09:45:50.5494726Z Complete! 2025-12-04T09:45:50.6077156Z + sudo systemctl restart docker 2025-12-04T09:45:57.0271181Z Thu Dec 4 09:45:57 2025 2025-12-04T09:45:57.0271656Z +-----------------------------------------------------------------------------+ 2025-12-04T09:45:57.0272263Z | NVIDIA-SMI 525.105.17 Driver Version: 525.105.17 CUDA Version: 12.0 | 2025-12-04T09:45:57.0272853Z |-------------------------------+----------------------+----------------------+ 2025-12-04T09:45:57.0273436Z | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:45:57.0274395Z | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:45:57.0274937Z | | | MIG M. | 2025-12-04T09:45:57.0275345Z |===============================+======================+======================| 2025-12-04T09:45:57.0376175Z | 0 Tesla T4 On | 00000000:00:1E.0 Off | 0 | 2025-12-04T09:45:57.0376702Z | N/A 26C P0 25W / 70W | 2MiB / 15360MiB | 7% Default | 2025-12-04T09:45:57.0377302Z | | | N/A | 2025-12-04T09:45:57.0377756Z +-------------------------------+----------------------+----------------------+ 2025-12-04T09:45:57.0378228Z 2025-12-04T09:45:57.0378686Z +-----------------------------------------------------------------------------+ 2025-12-04T09:45:57.0379195Z | Processes: | 2025-12-04T09:45:57.0379844Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:45:57.0380334Z | ID ID Usage | 2025-12-04T09:45:57.0380804Z |=============================================================================| 2025-12-04T09:45:57.0381390Z | No running processes found | 2025-12-04T09:45:57.0381937Z +-----------------------------------------------------------------------------+ 2025-12-04T09:45:57.1173119Z Unable to find image 'public.ecr.aws/docker/library/python:3.13' locally 2025-12-04T09:45:57.3325634Z 3.13: Pulling from docker/library/python 2025-12-04T09:45:57.4121037Z 53c88f1dfeb7: Pulling fs layer 2025-12-04T09:45:57.4121427Z eae668646f44: Pulling fs layer 2025-12-04T09:45:57.4121764Z ff2e6e687b6c: Pulling fs layer 2025-12-04T09:45:57.4122095Z 7c40a3faff76: Pulling fs layer 2025-12-04T09:45:57.4122411Z 967a3b1c8fef: Pulling fs layer 2025-12-04T09:45:57.4122782Z a64e1a44f22a: Pulling fs layer 2025-12-04T09:45:57.4123109Z 52655f8a5bcc: Pulling fs layer 2025-12-04T09:45:57.4123409Z 967a3b1c8fef: Waiting 2025-12-04T09:45:57.4123690Z a64e1a44f22a: Waiting 2025-12-04T09:45:57.4123966Z 52655f8a5bcc: Waiting 2025-12-04T09:45:57.4124504Z 7c40a3faff76: Waiting 2025-12-04T09:45:57.5958816Z eae668646f44: Verifying Checksum 2025-12-04T09:45:57.5959365Z eae668646f44: Download complete 2025-12-04T09:45:57.7026145Z 53c88f1dfeb7: Verifying Checksum 2025-12-04T09:45:57.7026570Z 53c88f1dfeb7: Download complete 2025-12-04T09:45:57.8005586Z ff2e6e687b6c: Verifying Checksum 2025-12-04T09:45:57.8006023Z ff2e6e687b6c: Download complete 2025-12-04T09:45:57.8081030Z 967a3b1c8fef: Verifying Checksum 2025-12-04T09:45:57.8081673Z 967a3b1c8fef: Download complete 2025-12-04T09:45:57.8549877Z 52655f8a5bcc: Download complete 2025-12-04T09:45:57.9819062Z a64e1a44f22a: Verifying Checksum 2025-12-04T09:45:57.9819649Z a64e1a44f22a: Download complete 2025-12-04T09:45:58.7889125Z 7c40a3faff76: Verifying Checksum 2025-12-04T09:45:58.7889552Z 7c40a3faff76: Download complete 2025-12-04T09:45:59.1762451Z 53c88f1dfeb7: Pull complete 2025-12-04T09:45:59.7890715Z eae668646f44: Pull complete 2025-12-04T09:46:01.8079720Z ff2e6e687b6c: Pull complete 2025-12-04T09:46:07.5569259Z 7c40a3faff76: Pull complete 2025-12-04T09:46:07.7903759Z 967a3b1c8fef: Pull complete 2025-12-04T09:46:08.4507339Z a64e1a44f22a: Pull complete 2025-12-04T09:46:08.4723398Z 52655f8a5bcc: Pull complete 2025-12-04T09:46:08.4858507Z Digest: sha256:3f986299a7b8b44b0d8cf9bda2b22361ce5c3058ef5d7cb17fb7452506680ab0 2025-12-04T09:46:08.4898186Z Status: Downloaded newer image for public.ecr.aws/docker/library/python:3.13 2025-12-04T09:46:15.7106196Z Thu Dec 4 09:46:15 2025 2025-12-04T09:46:15.7106688Z +-----------------------------------------------------------------------------+ 2025-12-04T09:46:15.7107301Z | NVIDIA-SMI 525.105.17 Driver Version: 525.105.17 CUDA Version: 12.0 | 2025-12-04T09:46:15.7108182Z |-------------------------------+----------------------+----------------------+ 2025-12-04T09:46:15.7108779Z | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:46:15.7109452Z | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:46:15.7110000Z | | | MIG M. | 2025-12-04T09:46:15.7110412Z |===============================+======================+======================| 2025-12-04T09:46:15.7259142Z | 0 Tesla T4 On | 00000000:00:1E.0 Off | 0 | 2025-12-04T09:46:15.7259677Z | N/A 25C P8 9W / 70W | 2MiB / 15360MiB | 0% Default | 2025-12-04T09:46:15.7260145Z | | | N/A | 2025-12-04T09:46:15.7260604Z +-------------------------------+----------------------+----------------------+ 2025-12-04T09:46:15.7261158Z 2025-12-04T09:46:15.7261626Z +-----------------------------------------------------------------------------+ 2025-12-04T09:46:15.7262134Z | Processes: | 2025-12-04T09:46:15.7262661Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:46:15.7263157Z | ID ID Usage | 2025-12-04T09:46:15.7263575Z |=============================================================================| 2025-12-04T09:46:15.7264094Z | No running processes found | 2025-12-04T09:46:15.7264643Z +-----------------------------------------------------------------------------+ 2025-12-04T09:46:16.6404888Z Command completed after 1 attempt(s). 2025-12-04T09:46:16.6504689Z Prepare all required actions 2025-12-04T09:46:16.6540304Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-12-04T09:46:16.6540701Z with: 2025-12-04T09:46:16.6541499Z github-token: *** 2025-12-04T09:46:16.6541777Z env: 2025-12-04T09:46:16.6542020Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:16.6542336Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:16.6542707Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:16.6543321Z ##[endgroup] 2025-12-04T09:46:16.6559585Z ##[group]Run set -eux 2025-12-04T09:46:16.6559900Z set -eux 2025-12-04T09:46:16.6560410Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:46:16.6572563Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:46:16.6573010Z env: 2025-12-04T09:46:16.6573252Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:16.6573570Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:16.6574001Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:16.6574607Z GITHUB_TOKEN: *** 2025-12-04T09:46:16.6574888Z ##[endgroup] 2025-12-04T09:46:16.6612429Z + python3 .github/scripts/get_workflow_job_id.py 19922826259 i-076282dc4c60ba1f3 2025-12-04T09:46:19.3070755Z Setting output job-id=57119749265 2025-12-04T09:46:19.3071711Z Setting output job-name=linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 4, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T09:46:19.3221276Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:46:19.3222160Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:46:19.3223301Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-12-04T09:46:19.3224299Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:46:19.3233835Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:46:19.3234285Z env: 2025-12-04T09:46:19.3234540Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:19.3234841Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:19.3235207Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:19.3235626Z JOB_ID: 57119749265 2025-12-04T09:46:19.3236425Z JOB_NAME: linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 4, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T09:46:19.3237263Z WORKFLOW_NAME: periodic 2025-12-04T09:46:19.3237569Z WORKFLOW_RUN_ID: 19922826259 2025-12-04T09:46:19.3237893Z MONITOR_LOG_INTERVAL: 5 2025-12-04T09:46:19.3238216Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-12-04T09:46:19.3238544Z ##[endgroup] 2025-12-04T09:46:19.6506083Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:46:20.0647723Z Collecting psutil==5.9.8 2025-12-04T09:46:20.0833371Z 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) 2025-12-04T09:46:20.1653614Z Collecting dataclasses_json==0.6.7 2025-12-04T09:46:20.1693016Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-12-04T09:46:20.2009402Z Collecting nvidia-ml-py==11.525.84 2025-12-04T09:46:20.2046969Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-12-04T09:46:20.3417751Z Collecting marshmallow<4.0.0,>=3.18.0 2025-12-04T09:46:20.3456703Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-12-04T09:46:20.3712811Z Collecting typing-inspect<1,>=0.4.0 2025-12-04T09:46:20.3752705Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-12-04T09:46:20.4375878Z Collecting packaging>=17.0 2025-12-04T09:46:20.4415583Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-12-04T09:46:20.4677759Z Collecting mypy-extensions>=0.3.0 2025-12-04T09:46:20.4716935Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-12-04T09:46:20.5254880Z Collecting typing-extensions>=3.7.4 2025-12-04T09:46:20.5293166Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-12-04T09:46:20.6338268Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-12-04T09:46:20.9549840Z 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 2025-12-04T09:46:21.1664220Z Prepare all required actions 2025-12-04T09:46:21.1664715Z Getting action download info 2025-12-04T09:46:21.3478509Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T09:46:21.5953758Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-12-04T09:46:21.9771757Z ##[group]Run ./.github/actions/download-build-artifacts 2025-12-04T09:46:21.9772195Z with: 2025-12-04T09:46:21.9772489Z name: linux-jammy-cuda12.4-py3.10-gcc11 2025-12-04T09:46:21.9772872Z s3-bucket: gha-artifacts 2025-12-04T09:46:21.9773183Z env: 2025-12-04T09:46:21.9773432Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:21.9773725Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:21.9774098Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:21.9774520Z ##[endgroup] 2025-12-04T09:46:21.9808256Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:46:21.9808689Z with: 2025-12-04T09:46:21.9809041Z name: linux-jammy-cuda12.4-py3.10-gcc11 2025-12-04T09:46:21.9809415Z s3-bucket: gha-artifacts 2025-12-04T09:46:21.9809732Z region: us-east-1 2025-12-04T09:46:21.9809993Z env: 2025-12-04T09:46:21.9810228Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:21.9810540Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:21.9810908Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:21.9811317Z ##[endgroup] 2025-12-04T09:46:22.5209959Z (node:68234) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:46:22.5210557Z 2025-12-04T09:46:22.5210782Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:46:22.5211419Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:46:22.5212074Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:46:22.8176960Z Found 1 objects with prefix pytorch/pytorch/19922826259/linux-jammy-cuda12.4-py3.10-gcc11/ 2025-12-04T09:46:22.8177868Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T09:46:30.7256067Z Finished download (1/1): 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2025-12-04T09:46:42.1269978Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:42.1270481Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:42.1270894Z ##[endgroup] 2025-12-04T09:46:42.4014485Z ##[group]Run df -H 2025-12-04T09:46:42.4014771Z df -H 2025-12-04T09:46:42.4021646Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:46:42.4022096Z env: 2025-12-04T09:46:42.4022332Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:42.4022644Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:42.4023008Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:42.4023409Z ##[endgroup] 2025-12-04T09:46:42.4073767Z Filesystem Size Used Avail Use% Mounted on 2025-12-04T09:46:42.4074197Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-12-04T09:46:42.4074590Z tmpfs 34G 0 34G 0% /dev/shm 2025-12-04T09:46:42.4074987Z tmpfs 14G 562k 14G 1% /run 2025-12-04T09:46:42.4075354Z /dev/nvme0n1p1 161G 51G 111G 32% / 2025-12-04T09:46:42.4075747Z tmpfs 34G 17k 34G 1% /tmp 2025-12-04T09:46:42.4076568Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-12-04T09:46:42.4077364Z tmpfs 6.7G 0 6.7G 0% /run/user/0 2025-12-04T09:46:42.4115062Z Prepare all required actions 2025-12-04T09:46:42.4115983Z Getting action download info 2025-12-04T09:46:42.5544833Z ##[group]Run ./.github/actions/download-td-artifacts 2025-12-04T09:46:42.5545249Z with: 2025-12-04T09:46:42.5545488Z env: 2025-12-04T09:46:42.5545718Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:42.5546029Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:42.5546397Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:42.5546798Z ##[endgroup] 2025-12-04T09:46:42.5577610Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:46:42.5578011Z with: 2025-12-04T09:46:42.5578239Z name: td_results 2025-12-04T09:46:42.5578520Z s3-bucket: gha-artifacts 2025-12-04T09:46:42.5578830Z region: us-east-1 2025-12-04T09:46:42.5579079Z env: 2025-12-04T09:46:42.5579336Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:42.5579641Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:42.5580005Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:42.5580478Z ##[endgroup] 2025-12-04T09:46:43.1033116Z (node:68256) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:46:43.1033718Z 2025-12-04T09:46:43.1033944Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:46:43.1034582Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:46:43.1035238Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:46:43.2187478Z Found 1 objects with prefix pytorch/pytorch/19922826259/td_results/ 2025-12-04T09:46:43.2188244Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T09:46:43.2964831Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T09:46:43.2970706Z Artifact download has finished successfully 2025-12-04T09:46:43.3163691Z ##[group]Run mkdir -p .additional_ci_files 2025-12-04T09:46:43.3164156Z mkdir -p .additional_ci_files 2025-12-04T09:46:43.3164672Z mv td_results.json .additional_ci_files/td_results.json || true 2025-12-04T09:46:43.3171525Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:46:43.3171978Z env: 2025-12-04T09:46:43.3172227Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:43.3172527Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:43.3172887Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:43.3173301Z ##[endgroup] 2025-12-04T09:46:43.3318084Z ##[group]Run .github/scripts/parse_ref.py 2025-12-04T09:46:43.3318531Z .github/scripts/parse_ref.py 2025-12-04T09:46:43.3325025Z shell: /usr/bin/bash -e {0} 2025-12-04T09:46:43.3325342Z env: 2025-12-04T09:46:43.3325591Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:43.3325891Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:43.3326407Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:43.3326827Z ##[endgroup] 2025-12-04T09:46:43.3573512Z Setting output branch=main 2025-12-04T09:46:43.3720494Z Prepare all required actions 2025-12-04T09:46:43.3720937Z Getting action download info 2025-12-04T09:46:43.5081330Z ##[group]Run ./.github/actions/filter-test-configs 2025-12-04T09:46:43.5081741Z with: 2025-12-04T09:46:43.5082188Z github-token: *** 2025-12-04T09:46:43.5089189Z test-matrix: {"include": [{"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}]} 2025-12-04T09:46:43.5096954Z job-name: linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 4, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T09:46:43.5097760Z env: 2025-12-04T09:46:43.5098006Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:43.5098306Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:43.5098670Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:43.5099087Z ##[endgroup] 2025-12-04T09:46:43.5139354Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T09:46:43.5139694Z with: 2025-12-04T09:46:43.5139929Z shell: bash 2025-12-04T09:46:43.5140191Z timeout_minutes: 10 2025-12-04T09:46:43.5140478Z max_attempts: 5 2025-12-04T09:46:43.5140736Z retry_wait_seconds: 30 2025-12-04T09:46:43.5141751Z 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 2025-12-04T09:46:43.5142767Z polling_interval_seconds: 1 2025-12-04T09:46:43.5143100Z warning_on_retry: true 2025-12-04T09:46:43.5143389Z continue_on_error: false 2025-12-04T09:46:43.5143684Z env: 2025-12-04T09:46:43.5143919Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:43.5144212Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:43.5144572Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:43.5145170Z GITHUB_TOKEN: *** 2025-12-04T09:46:43.5145442Z ##[endgroup] 2025-12-04T09:46:43.6218600Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T09:46:43.8933522Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:46:44.0189411Z Collecting requests==2.27.1 2025-12-04T09:46:44.0352313Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-12-04T09:46:44.2370040Z Collecting pyyaml==6.0.2 2025-12-04T09:46:44.2408903Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-12-04T09:46:44.2677035Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-12-04T09:46:44.2681141Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-12-04T09:46:44.3216813Z Collecting certifi>=2017.4.17 2025-12-04T09:46:44.3250944Z Downloading certifi-2025.11.12-py3-none-any.whl (159 kB) 2025-12-04T09:46:44.7696215Z Collecting charset-normalizer~=2.0.0 2025-12-04T09:46:44.7737163Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-12-04T09:46:44.8740922Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-12-04T09:46:45.0117203Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-12-04T09:46:45.6013334Z Command completed after 1 attempt(s). 2025-12-04T09:46:45.6066380Z ##[group]Run set -x 2025-12-04T09:46:45.6066664Z set -x 2025-12-04T09:46:45.6066923Z  2025-12-04T09:46:45.6067388Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:46:45.6067943Z # in runner workspace 2025-12-04T09:46:45.6068393Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-12-04T09:46:45.6075132Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:46:45.6075576Z env: 2025-12-04T09:46:45.6075818Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:45.6076128Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:45.6076495Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:45.6076900Z ##[endgroup] 2025-12-04T09:46:45.6105348Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-12-04T09:46:45.6313929Z Setting output branch=main 2025-12-04T09:46:45.6373358Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:46:45.6373883Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:46:45.6374306Z echo "Job name: ${JOB_NAME}" 2025-12-04T09:46:45.6374651Z  2025-12-04T09:46:45.6375082Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:46:45.6375647Z # in runner workspace 2025-12-04T09:46:45.6376158Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-12-04T09:46:45.6376735Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-12-04T09:46:45.6377154Z  --job-name "${JOB_NAME}" \ 2025-12-04T09:46:45.6384488Z  --test-matrix "{"include": [{"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}]}" \ 2025-12-04T09:46:45.6391981Z  --selected-test-configs "" \ 2025-12-04T09:46:45.6392382Z  --pr-number "${PR_NUMBER}" \ 2025-12-04T09:46:45.6392764Z  --tag "${TAG}" \ 2025-12-04T09:46:45.6393101Z  --event-name "${EVENT_NAME}" \ 2025-12-04T09:46:45.6393481Z  --schedule "${SCHEDULE}" \ 2025-12-04T09:46:45.6393848Z  --branch "${HEAD_BRANCH}" 2025-12-04T09:46:45.6400646Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:46:45.6401119Z env: 2025-12-04T09:46:45.6401373Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:45.6401683Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:45.6402055Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:45.6402719Z GITHUB_TOKEN: *** 2025-12-04T09:46:45.6403463Z JOB_NAME: linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 4, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T09:46:45.6404258Z PR_NUMBER: 2025-12-04T09:46:45.6404512Z TAG: 2025-12-04T09:46:45.6404749Z EVENT_NAME: schedule 2025-12-04T09:46:45.6405023Z SCHEDULE: 29 8 * * * 2025-12-04T09:46:45.6405301Z HEAD_BRANCH: main 2025-12-04T09:46:45.6405569Z ##[endgroup] 2025-12-04T09:46:45.6434025Z Workflow: periodic 2025-12-04T09:46:45.6435484Z Job name: linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 4, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T09:46:45.8503312Z Setting output keep-going=True 2025-12-04T09:46:45.8503753Z Setting output ci-verbose-test-logs=False 2025-12-04T09:46:45.8504174Z Setting output ci-test-showlocals=False 2025-12-04T09:46:45.8504605Z Setting output ci-no-test-timeout=False 2025-12-04T09:46:45.8504973Z Setting output ci-no-td=False 2025-12-04T09:46:45.8505347Z Setting output ci-td-distributed=False 2025-12-04T09:46:45.8505728Z Setting output is-unstable=True 2025-12-04T09:46:45.8506080Z Setting output reenabled-issues= 2025-12-04T09:46:45.8521797Z Setting output test-matrix={"include": [{"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}]} 2025-12-04T09:46:45.8537788Z Setting output is-test-matrix-empty=False 2025-12-04T09:46:45.8653963Z ##[group]Run echo "Filtered matrix:" 2025-12-04T09:46:45.8654413Z echo "Filtered matrix:" 2025-12-04T09:46:45.8670055Z echo "{"include": [{"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}]}" 2025-12-04T09:46:45.8685709Z  2025-12-04T09:46:45.8685951Z echo 2025-12-04T09:46:45.8686262Z echo "Is the current job unstable? True" 2025-12-04T09:46:45.8686636Z  2025-12-04T09:46:45.8686867Z echo 2025-12-04T09:46:45.8687161Z echo "Is keep-going label set? True" 2025-12-04T09:46:45.8687519Z  2025-12-04T09:46:45.8687756Z echo 2025-12-04T09:46:45.8688029Z echo "Reenabled issues? " 2025-12-04T09:46:45.8694718Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:46:45.8695160Z env: 2025-12-04T09:46:45.8695411Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:45.8695709Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:45.8696088Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:45.8696506Z ##[endgroup] 2025-12-04T09:46:45.8723510Z Filtered matrix: 2025-12-04T09:46:45.8742992Z {include: [{config: legacy_nvidia_driver, shard: 1, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable}, {config: legacy_nvidia_driver, shard: 1, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: legacy_nvidia_driver, shard: 1, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: legacy_nvidia_driver, shard: 1, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}, {config: legacy_nvidia_driver, shard: 2, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable}, {config: legacy_nvidia_driver, shard: 2, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: legacy_nvidia_driver, shard: 2, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: legacy_nvidia_driver, shard: 2, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}, {config: legacy_nvidia_driver, shard: 3, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable}, {config: legacy_nvidia_driver, shard: 3, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: legacy_nvidia_driver, shard: 3, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: legacy_nvidia_driver, shard: 3, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}, {config: legacy_nvidia_driver, shard: 4, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable}, {config: legacy_nvidia_driver, shard: 4, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: legacy_nvidia_driver, shard: 4, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: legacy_nvidia_driver, shard: 4, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}, {config: legacy_nvidia_driver, shard: 5, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable}, {config: legacy_nvidia_driver, shard: 5, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: legacy_nvidia_driver, shard: 5, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: legacy_nvidia_driver, shard: 5, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}]} 2025-12-04T09:46:45.8758368Z 2025-12-04T09:46:45.8758508Z Is the current job unstable? True 2025-12-04T09:46:45.8758738Z 2025-12-04T09:46:45.8758871Z Is keep-going label set? True 2025-12-04T09:46:45.8759086Z 2025-12-04T09:46:45.8759191Z Reenabled issues? 2025-12-04T09:46:45.8795419Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:46:45.8796053Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:46:45.8802616Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:46:45.8803063Z env: 2025-12-04T09:46:45.8803318Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:45.8803631Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:45.8803987Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:45.8804414Z JOB_TIMEOUT: 240 2025-12-04T09:46:45.8804686Z ##[endgroup] 2025-12-04T09:46:45.8856454Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:46:45.8857064Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:46:45.8857602Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:46:45.8863944Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:46:45.8864396Z env: 2025-12-04T09:46:45.8864648Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:45.8864959Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:45.8865311Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:45.8865871Z ##[endgroup] 2025-12-04T09:46:45.8973122Z ##[group]Run set -x 2025-12-04T09:46:45.8973502Z set -x 2025-12-04T09:46:45.8973759Z  2025-12-04T09:46:45.8974063Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-12-04T09:46:45.8974508Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-12-04T09:46:45.8974973Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-12-04T09:46:45.8975401Z  TEST_COMMAND=.ci/onnx/test.sh 2025-12-04T09:46:45.8975741Z else 2025-12-04T09:46:45.8976032Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:46:45.8976394Z fi 2025-12-04T09:46:45.8976617Z  2025-12-04T09:46:45.8976922Z # Leaving 1GB for the runner and other things 2025-12-04T09:46:45.8977605Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-12-04T09:46:45.8978640Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-12-04T09:46:45.8979490Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-12-04T09:46:45.8980119Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-12-04T09:46:45.8980612Z  2025-12-04T09:46:45.8981018Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:46:45.8981430Z  SHM_OPTS= 2025-12-04T09:46:45.8981721Z  JENKINS_USER= 2025-12-04T09:46:45.8982120Z  # ensure that docker container cleanly exits in 12 hours 2025-12-04T09:46:45.8982685Z  # if for some reason cleanup action doesn't stop container 2025-12-04T09:46:45.8983156Z  # when job is cancelled 2025-12-04T09:46:45.8983517Z  DOCKER_SHELL_CMD="sleep 12h" 2025-12-04T09:46:45.8983894Z  USED_IMAGE="${DOCKER_IMAGE_S390X}" 2025-12-04T09:46:45.8984257Z else 2025-12-04T09:46:45.8984543Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-12-04T09:46:45.8984935Z  JENKINS_USER="--user jenkins" 2025-12-04T09:46:45.8985299Z  DOCKER_SHELL_CMD= 2025-12-04T09:46:45.8985632Z  USED_IMAGE="${DOCKER_IMAGE}" 2025-12-04T09:46:45.8985963Z fi 2025-12-04T09:46:45.8986199Z  2025-12-04T09:46:45.8986594Z # detached container should get cleaned up by teardown_ec2_linux 2025-12-04T09:46:45.8987220Z # TODO: Stop building test binaries as part of the build phase 2025-12-04T09:46:45.8987956Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-12-04T09:46:45.8988578Z # shellcheck disable=SC2086,SC2090 2025-12-04T09:46:45.8988976Z container_name=$(docker run \ 2025-12-04T09:46:45.8989341Z  ${GPU_FLAG:-} \ 2025-12-04T09:46:45.8989687Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-12-04T09:46:45.8990103Z  -e BUILD_ENVIRONMENT \ 2025-12-04T09:46:45.8990450Z  -e PR_NUMBER \ 2025-12-04T09:46:45.8990781Z  -e GITHUB_ACTIONS \ 2025-12-04T09:46:45.8991150Z  -e GITHUB_REPOSITORY \ 2025-12-04T09:46:45.8991503Z  -e GITHUB_WORKFLOW \ 2025-12-04T09:46:45.8991842Z  -e GITHUB_JOB \ 2025-12-04T09:46:45.8992148Z  -e GITHUB_RUN_ID \ 2025-12-04T09:46:45.8992484Z  -e GITHUB_RUN_NUMBER \ 2025-12-04T09:46:45.8992838Z  -e GITHUB_RUN_ATTEMPT \ 2025-12-04T09:46:45.8993170Z  -e JOB_ID \ 2025-12-04T09:46:45.8993466Z  -e JOB_NAME \ 2025-12-04T09:46:45.8993772Z  -e BASE_SHA \ 2025-12-04T09:46:45.8994058Z  -e BRANCH \ 2025-12-04T09:46:45.8994341Z  -e SHA1 \ 2025-12-04T09:46:45.8994634Z  -e AWS_DEFAULT_REGION \ 2025-12-04T09:46:45.8994977Z  -e IN_WHEEL_TEST \ 2025-12-04T09:46:45.8995283Z  -e SHARD_NUMBER \ 2025-12-04T09:46:45.8995600Z  -e TEST_CONFIG \ 2025-12-04T09:46:45.8995918Z  -e NUM_TEST_SHARDS \ 2025-12-04T09:46:45.8996502Z  -e REENABLED_ISSUES \ 2025-12-04T09:46:45.8996860Z  -e CONTINUE_THROUGH_ERROR \ 2025-12-04T09:46:45.8997226Z  -e VERBOSE_TEST_LOGS \ 2025-12-04T09:46:45.8997556Z  -e TEST_SHOWLOCALS \ 2025-12-04T09:46:45.8997891Z  -e NO_TEST_TIMEOUT \ 2025-12-04T09:46:45.8998211Z  -e NO_TD \ 2025-12-04T09:46:45.8998491Z  -e TD_DISTRIBUTED \ 2025-12-04T09:46:45.8998825Z  -e PR_LABELS \ 2025-12-04T09:46:45.8999171Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-12-04T09:46:45.8999556Z  -e SCCACHE_BUCKET \ 2025-12-04T09:46:45.8999875Z  -e SCCACHE_REGION \ 2025-12-04T09:46:45.9000198Z  -e XLA_CUDA \ 2025-12-04T09:46:45.9000534Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-12-04T09:46:45.9000946Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-12-04T09:46:45.9001376Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-12-04T09:46:45.9001819Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-12-04T09:46:45.9002209Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-12-04T09:46:45.9002595Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-12-04T09:46:45.9002995Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-12-04T09:46:45.9003373Z  -e DASHBOARD_TAG \ 2025-12-04T09:46:45.9003696Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-12-04T09:46:45.9004118Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-12-04T09:46:45.9004603Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-12-04T09:46:45.9005073Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-12-04T09:46:45.9005537Z  --security-opt seccomp=unconfined \ 2025-12-04T09:46:45.9005937Z  --cap-add=SYS_PTRACE \ 2025-12-04T09:46:45.9006278Z  --ipc=host \ 2025-12-04T09:46:45.9006565Z  ${SHM_OPTS} \ 2025-12-04T09:46:45.9006857Z  --tty \ 2025-12-04T09:46:45.9007129Z  --detach \ 2025-12-04T09:46:45.9007430Z  --name="${container_name}" \ 2025-12-04T09:46:45.9007794Z  ${JENKINS_USER} \ 2025-12-04T09:46:45.9008196Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-12-04T09:46:45.9008652Z  -w /var/lib/jenkins/workspace \ 2025-12-04T09:46:45.9009025Z  "${USED_IMAGE}" \ 2025-12-04T09:46:45.9009339Z  ${DOCKER_SHELL_CMD} 2025-12-04T09:46:45.9009647Z ) 2025-12-04T09:46:45.9010021Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-12-04T09:46:45.9010497Z  2025-12-04T09:46:45.9010804Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:46:45.9011473Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-12-04T09:46:45.9012089Z fi 2025-12-04T09:46:45.9012329Z  2025-12-04T09:46:45.9012911Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-12-04T09:46:45.9019426Z shell: /usr/bin/bash -e {0} 2025-12-04T09:46:45.9019741Z env: 2025-12-04T09:46:45.9019986Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:45.9020283Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:45.9020645Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:45.9021251Z BUILD_ENVIRONMENT: linux-jammy-cuda12.4-py3.10-gcc11 2025-12-04T09:46:45.9021650Z PR_NUMBER: 2025-12-04T09:46:45.9021930Z GITHUB_REPOSITORY: pytorch/pytorch 2025-12-04T09:46:45.9022293Z GITHUB_WORKFLOW: periodic 2025-12-04T09:46:45.9022585Z GITHUB_JOB: test 2025-12-04T09:46:45.9022862Z GITHUB_RUN_ID: 19922826259 2025-12-04T09:46:45.9023179Z GITHUB_RUN_NUMBER: 19107 2025-12-04T09:46:45.9023492Z GITHUB_RUN_ATTEMPT: 1 2025-12-04T09:46:45.9023766Z JOB_ID: 57119749265 2025-12-04T09:46:45.9024514Z JOB_NAME: linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 4, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T09:46:45.9025500Z BRANCH: main 2025-12-04T09:46:45.9025797Z SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:46:45.9026252Z BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:46:45.9026673Z TEST_CONFIG: legacy_nvidia_driver 2025-12-04T09:46:45.9026997Z SHARD_NUMBER: 4 2025-12-04T09:46:45.9027263Z NUM_TEST_SHARDS: 5 2025-12-04T09:46:45.9027532Z EXTRA_FLAGS: 2025-12-04T09:46:45.9027795Z OP_BENCHMARK_TESTS: 2025-12-04T09:46:45.9028069Z REENABLED_ISSUES: 2025-12-04T09:46:45.9028358Z CONTINUE_THROUGH_ERROR: True 2025-12-04T09:46:45.9028687Z VERBOSE_TEST_LOGS: False 2025-12-04T09:46:45.9028983Z TEST_SHOWLOCALS: False 2025-12-04T09:46:45.9029285Z NO_TEST_TIMEOUT: False 2025-12-04T09:46:45.9029575Z NO_TD: False 2025-12-04T09:46:45.9029832Z TD_DISTRIBUTED: False 2025-12-04T09:46:45.9030199Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-12-04T09:46:45.9030840Z SCCACHE_REGION: us-east-1 2025-12-04T09:46:45.9031143Z SHM_SIZE: 2g 2025-12-04T09:46:45.9032073Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:46:45.9033766Z DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:46:45.9034794Z XLA_CUDA: 2025-12-04T09:46:45.9035201Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:46:45.9035743Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-12-04T09:46:45.9036125Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 1 2025-12-04T09:46:45.9036480Z DASHBOARD_TAG: 2025-12-04T09:46:45.9036983Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-12-04T09:46:45.9037463Z HUGGING_FACE_HUB_TOKEN: *** 2025-12-04T09:46:45.9037952Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-12-04T09:46:45.9038572Z ARTIFACTS_FILE_SUFFIX: test-legacy_nvidia_driver-4-5-linux.g4dn.4xlarge.nvidia.gpu_57119749265 2025-12-04T09:46:45.9039196Z ##[endgroup] 2025-12-04T09:46:45.9083353Z + [[ legacy_nvidia_driver == \m\u\l\t\i\g\p\u ]] 2025-12-04T09:46:45.9083811Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *onnx* ]] 2025-12-04T09:46:45.9084220Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:46:45.9087221Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-12-04T09:46:45.9109746Z + TOTAL_AVAILABLE_MEMORY_IN_GB='61.094 ' 2025-12-04T09:46:45.9110162Z + TOTAL_MEMORY_WITH_SWAP=64 2025-12-04T09:46:45.9110553Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *\s\3\9\0\x* ]] 2025-12-04T09:46:45.9110984Z + SHM_OPTS=--shm-size=2g 2025-12-04T09:46:45.9111300Z + JENKINS_USER='--user jenkins' 2025-12-04T09:46:45.9111612Z + DOCKER_SHELL_CMD= 2025-12-04T09:46:45.9112543Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:46:45.9120234Z +++ nproc --ignore=2 2025-12-04T09:46:45.9152031Z ++ 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=61g --memory-swap=64g --env-file=/tmp/github_env_19922826259 --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-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:46:54.9792618Z + container_name=0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T09:46:54.9793991Z + echo DOCKER_CONTAINER_ID=0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T09:46:54.9794879Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *\s\3\9\0\x* ]] 2025-12-04T09:46:54.9799615Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl 2025-12-04T09:46:54.9802363Z + docker exec -t 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-12-04T09:46:55.4882139Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f) 2025-12-04T09:46:56.3671792Z 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) 2025-12-04T09:46:56.3676538Z 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) 2025-12-04T09:46:56.3681852Z 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) 2025-12-04T09:46:56.3687535Z 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) 2025-12-04T09:46:56.3691889Z 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) 2025-12-04T09:46:56.3697586Z 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) 2025-12-04T09:46:56.3713413Z 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) 2025-12-04T09:46:56.4152804Z 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) 2025-12-04T09:46:56.4175878Z 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) 2025-12-04T09:46:56.4243630Z 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) 2025-12-04T09:46:56.8577426Z Installing collected packages: torch 2025-12-04T09:47:09.2266885Z Successfully installed torch-2.10.0a0+gitffd9b0f 2025-12-04T09:47:09.2921253Z + export TERM=vt100 2025-12-04T09:47:09.2921554Z + TERM=vt100 2025-12-04T09:47:09.2924249Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:47:09.2933519Z + source .ci/pytorch/common.sh 2025-12-04T09:47:09.2937045Z +++ dirname .ci/pytorch/common.sh 2025-12-04T09:47:09.2944881Z ++ source .ci/pytorch/common_utils.sh 2025-12-04T09:47:09.2946329Z +++ declare -f -t trap_add 2025-12-04T09:47:09.2952383Z ++ set -ex -o pipefail 2025-12-04T09:47:09.2952748Z ++ [[ linux-jammy-cuda12.4-py3.10-gcc11 == *rocm* ]] 2025-12-04T09:47:09.2953147Z ++ BUILD_TEST_LIBTORCH=0 2025-12-04T09:47:09.2956412Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:47:09.2964392Z + source .ci/pytorch/common-build.sh 2025-12-04T09:47:09.2966189Z ++ [[ linux-jammy-cuda12.4-py3.10-gcc11 != *win-* ]] 2025-12-04T09:47:09.2973558Z ++++ dirname .ci/pytorch/common-build.sh 2025-12-04T09:47:09.2981940Z +++ cd .ci/pytorch 2025-12-04T09:47:09.2982243Z +++ pwd -P 2025-12-04T09:47:09.2990306Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-12-04T09:47:09.2990827Z ++ [[ linux-jammy-cuda12.4-py3.10-gcc11 == *-pch* ]] 2025-12-04T09:47:09.2991224Z ++ which sccache 2025-12-04T09:47:09.3009698Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-12-04T09:47:09.3010430Z ++ sccache --stop-server 2025-12-04T09:47:09.3037395Z ++ true 2025-12-04T09:47:09.3037690Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-12-04T09:47:09.3048725Z ++ trap_add sccache_epilogue EXIT 2025-12-04T09:47:09.3049112Z ++ trap_add_cmd=sccache_epilogue 2025-12-04T09:47:09.3049432Z ++ shift 2025-12-04T09:47:09.3049674Z ++ for trap_add_name in "$@" 2025-12-04T09:47:09.3056125Z ++++ trap -p EXIT 2025-12-04T09:47:09.3059236Z +++ eval 'extract_trap_cmd ' 2025-12-04T09:47:09.3059694Z ++++ extract_trap_cmd 2025-12-04T09:47:09.3060121Z ++++ printf '%s\n' '' 2025-12-04T09:47:09.3060595Z +++ printf '%s\n' sccache_epilogue 2025-12-04T09:47:09.3062671Z ++ trap -- ' 2025-12-04T09:47:09.3062927Z sccache_epilogue' EXIT 2025-12-04T09:47:09.3063211Z ++ [[ -n 1 ]] 2025-12-04T09:47:09.3063661Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-12-04T09:47:09.3064358Z Skipping sccache server initialization, setting environment variables 2025-12-04T09:47:09.3064885Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:47:09.3065225Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:47:09.3065618Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:47:09.3066139Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:47:09.3072024Z ++ export RUST_LOG=sccache::server=error 2025-12-04T09:47:09.3072444Z ++ RUST_LOG=sccache::server=error 2025-12-04T09:47:09.3072817Z ++ sccache --zero-stats 2025-12-04T09:47:09.4175524Z Statistics zeroed. 2025-12-04T09:47:09.4176483Z ++ which ccache 2025-12-04T09:47:09.4205076Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *rocm* ]] 2025-12-04T09:47:09.4205641Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *s390x* ]] 2025-12-04T09:47:09.4206067Z + [[ -d /var/lib/jenkins/workspace ]] 2025-12-04T09:47:09.4208991Z ++ stat -c %u /var/lib/jenkins/workspace 2025-12-04T09:47:09.4224176Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-12-04T09:47:09.4224579Z + trap_add cleanup_workspace EXIT 2025-12-04T09:47:09.4224929Z + trap_add_cmd=cleanup_workspace 2025-12-04T09:47:09.4225257Z + shift 2025-12-04T09:47:09.4225514Z + for trap_add_name in "$@" 2025-12-04T09:47:09.4232827Z +++ trap -p EXIT 2025-12-04T09:47:09.4235766Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-12-04T09:47:09.4236202Z sccache_epilogue'\'' EXIT' 2025-12-04T09:47:09.4236576Z +++ extract_trap_cmd trap -- ' 2025-12-04T09:47:09.4236906Z sccache_epilogue' EXIT 2025-12-04T09:47:09.4237197Z +++ printf '%s\n' ' 2025-12-04T09:47:09.4237471Z sccache_epilogue' 2025-12-04T09:47:09.4237749Z ++ printf '%s\n' cleanup_workspace 2025-12-04T09:47:09.4239054Z + trap -- ' 2025-12-04T09:47:09.4239318Z sccache_epilogue 2025-12-04T09:47:09.4239591Z cleanup_workspace' EXIT 2025-12-04T09:47:09.4239946Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-12-04T09:47:10.1905782Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-12-04T09:47:10.1922514Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:47:10.1926636Z ++ python -c 'import os;import numba.cuda; print(os.path.dirname(numba.cuda.__file__))' 2025-12-04T09:47:10.6653203Z + NUMBA_CUDA_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:47:10.6654436Z + '[' -n /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ']' 2025-12-04T09:47:10.6660061Z +++ realpath .ci/pytorch/test.sh 2025-12-04T09:47:10.6671041Z ++ dirname /var/lib/jenkins/workspace/.ci/pytorch/test.sh 2025-12-04T09:47:10.6691882Z + NUMBA_PATCH=/var/lib/jenkins/workspace/.ci/pytorch/numba-cuda-13.patch 2025-12-04T09:47:10.6692675Z + pushd /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:47:10.6693806Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ~/workspace 2025-12-04T09:47:10.6694337Z + patch -p4 2025-12-04T09:47:10.6706833Z patching file cudadrv/driver.py 2025-12-04T09:47:10.6707396Z Hunk #1 succeeded at 357 (offset -8 lines). 2025-12-04T09:47:10.6719589Z + popd 2025-12-04T09:47:10.6719914Z ~/workspace 2025-12-04T09:47:10.6720187Z + echo 'Environment variables:' 2025-12-04T09:47:10.6720526Z Environment variables: 2025-12-04T09:47:10.6720798Z + env 2025-12-04T09:47:10.6729485Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:47:10.6730372Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:47:10.6731161Z BUILD_ENVIRONMENT=linux-jammy-cuda12.4-py3.10-gcc11 2025-12-04T09:47:10.6731844Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:47:10.6732182Z HOSTNAME=0fb89610dae3 2025-12-04T09:47:10.6733385Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_119baf5c-9f06-4555-bd6c-239112d2e63c 2025-12-04T09:47:10.6734131Z GITHUB_ACTION=__run_3 2025-12-04T09:47:10.6734451Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:47:10.6734799Z GITHUB_RUN_NUMBER=19107 2025-12-04T09:47:10.6735095Z TEST_CONFIG=legacy_nvidia_driver 2025-12-04T09:47:10.6735483Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:47:10.6735861Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:47:10.6736231Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:47:10.6736690Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:47:10.6737021Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T09:47:10.6737503Z GITHUB_REF_TYPE=branch 2025-12-04T09:47:10.6738158Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:47:10.6738542Z XLA_CUDA= 2025-12-04T09:47:10.6738804Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:47:10.6739305Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:47:10.6739811Z *** 2025-12-04T09:47:10.6740044Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:47:10.6740368Z GITHUB_ACTIONS=true 2025-12-04T09:47:10.6740657Z NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:47:10.6741155Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:47:10.6741618Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:47:10.6742071Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:47:10.6742682Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/periodic.yml@refs/heads/main 2025-12-04T09:47:10.6743251Z UCC_HOME=/usr 2025-12-04T09:47:10.6743516Z VERBOSE_TEST_LOGS=False 2025-12-04T09:47:10.6743820Z GITHUB_REF=refs/heads/main 2025-12-04T09:47:10.6744107Z SHARD_NUMBER=4 2025-12-04T09:47:10.6744377Z GITHUB_REF_PROTECTED=true 2025-12-04T09:47:10.6744682Z HOME=/var/lib/jenkins 2025-12-04T09:47:10.6744990Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:47:10.6745375Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T09:47:10.6745779Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-12-04T09:47:10.6746159Z USE_SYSTEM_NCCL=1 2025-12-04T09:47:10.6746425Z NUM_TEST_SHARDS=5 2025-12-04T09:47:10.6746683Z UCX_HOME=/usr 2025-12-04T09:47:10.6747341Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_119baf5c-9f06-4555-bd6c-239112d2e63c 2025-12-04T09:47:10.6748568Z JOB_NAME=linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 4, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T09:47:10.6749751Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_119baf5c-9f06-4555-bd6c-239112d2e63c 2025-12-04T09:47:10.6750705Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:47:10.6751289Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:47:10.6751595Z DASHBOARD_TAG= 2025-12-04T09:47:10.6751862Z GITHUB_RUN_ID=19922826259 2025-12-04T09:47:10.6752151Z INSTALLED_OPENBLAS= 2025-12-04T09:47:10.6752875Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_119baf5c-9f06-4555-bd6c-239112d2e63c 2025-12-04T09:47:10.6753671Z GITHUB_ACTOR=huydhn 2025-12-04T09:47:10.6753926Z PR_NUMBER= 2025-12-04T09:47:10.6754386Z DESIRED_CUDA=12.4 2025-12-04T09:47:10.6754766Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:47:10.6755065Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T09:47:10.6755445Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:47:10.6755850Z TERM=vt100 2025-12-04T09:47:10.6756099Z INSTALLED_VISION=yes 2025-12-04T09:47:10.6756359Z BRANCH=main 2025-12-04T09:47:10.6756613Z SCCACHE_REGION=us-east-1 2025-12-04T09:47:10.6756928Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:47:10.6757243Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:47:10.6757550Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:47:10.6758161Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:47:10.6758840Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:47:10.6759259Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-12-04T09:47:10.6759659Z REENABLED_ISSUES= 2025-12-04T09:47:10.6759912Z DOCS= 2025-12-04T09:47:10.6760136Z SHLVL=1 2025-12-04T09:47:10.6760363Z MAX_JOBS=14 2025-12-04T09:47:10.6760607Z GITHUB_ACTOR_ID=475357 2025-12-04T09:47:10.6761007Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:47:10.6761464Z GITHUB_REF_NAME=main 2025-12-04T09:47:10.6761907Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:47:10.6762398Z GITHUB_JOB=test 2025-12-04T09:47:10.6762666Z NO_TEST_TIMEOUT=False 2025-12-04T09:47:10.6762975Z TD_DISTRIBUTED=False 2025-12-04T09:47:10.6763269Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:47:10.6763621Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:47:10.6763929Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:47:10.6764226Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:47:10.6765145Z 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 2025-12-04T09:47:10.6766099Z GITHUB_BASE_REF= 2025-12-04T09:47:10.6766351Z INSTALLED_ACL= 2025-12-04T09:47:10.6766889Z ARTIFACTS_FILE_SUFFIX=test-legacy_nvidia_driver-4-5-linux.g4dn.4xlarge.nvidia.gpu_57119749265 2025-12-04T09:47:10.6767513Z CI=true 2025-12-04T09:47:10.6767768Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:47:10.6768128Z RUST_LOG=sccache::server=error 2025-12-04T09:47:10.6768442Z JOB_ID=57119749265 2025-12-04T09:47:10.6768705Z GITHUB_HEAD_REF= 2025-12-04T09:47:10.6768956Z GITHUB_ACTION_REF= 2025-12-04T09:47:10.6769292Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:47:10.6769704Z TEST_SHOWLOCALS=False 2025-12-04T09:47:10.6769987Z GITHUB_WORKFLOW=periodic 2025-12-04T09:47:10.6770306Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:47:10.6771046Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_119baf5c-9f06-4555-bd6c-239112d2e63c 2025-12-04T09:47:10.6771788Z NO_TD=False 2025-12-04T09:47:10.6772053Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:47:10.6772409Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:47:10.6772757Z _=/usr/bin/env 2025-12-04T09:47:10.6773172Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:47:10.6773798Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-12-04T09:47:10.6880245Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-12-04T09:47:10.6881509Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:47:10.6882629Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-12-04T09:47:10.6883345Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-12-04T09:47:10.6884333Z + BUILD_DIR=build 2025-12-04T09:47:10.6884613Z + BUILD_RENAMED_DIR=build_renamed 2025-12-04T09:47:10.6884960Z + BUILD_BIN_DIR=build/bin 2025-12-04T09:47:10.6885258Z + SHARD_NUMBER=4 2025-12-04T09:47:10.6885509Z + NUM_TEST_SHARDS=5 2025-12-04T09:47:10.6885813Z + export TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:47:10.6886174Z + TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:47:10.6886485Z + export VALGRIND=ON 2025-12-04T09:47:10.6886761Z + VALGRIND=ON 2025-12-04T09:47:10.6887406Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *clang9* ]] 2025-12-04T09:47:10.6887865Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *xpu* ]] 2025-12-04T09:47:10.6888261Z + detect_cuda_arch 2025-12-04T09:47:10.6888589Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:47:10.6889002Z + command -v nvidia-smi 2025-12-04T09:47:10.6889281Z /usr/bin/nvidia-smi 2025-12-04T09:47:10.6890818Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-12-04T09:47:10.6891928Z ++ tail -n 1 2025-12-04T09:47:10.7119143Z + TORCH_CUDA_ARCH_LIST=7.5 2025-12-04T09:47:10.7119794Z + export TORCH_CUDA_ARCH_LIST 2025-12-04T09:47:10.7120549Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *s390x* ]] 2025-12-04T09:47:10.7120949Z + [[ 1 == \1 ]] 2025-12-04T09:47:10.7121214Z + ulimit -c 0 2025-12-04T09:47:10.7121532Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *bazel* ]] 2025-12-04T09:47:10.7124344Z ++ realpath build/custom_test_artifacts 2025-12-04T09:47:10.7145936Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-12-04T09:47:10.7146834Z + [[ -n '' ]] 2025-12-04T09:47:10.7147108Z + echo 'Environment variables' 2025-12-04T09:47:10.7147428Z Environment variables 2025-12-04T09:47:10.7147706Z + env 2025-12-04T09:47:10.7165544Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:47:10.7166289Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:47:10.7166736Z BUILD_ENVIRONMENT=linux-jammy-cuda12.4-py3.10-gcc11 2025-12-04T09:47:10.7167567Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:47:10.7167902Z HOSTNAME=0fb89610dae3 2025-12-04T09:47:10.7168570Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_119baf5c-9f06-4555-bd6c-239112d2e63c 2025-12-04T09:47:10.7169310Z GITHUB_ACTION=__run_3 2025-12-04T09:47:10.7169641Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T09:47:10.7169994Z GITHUB_RUN_NUMBER=19107 2025-12-04T09:47:10.7170292Z TEST_CONFIG=legacy_nvidia_driver 2025-12-04T09:47:10.7170646Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:47:10.7171047Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:47:10.7171421Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:47:10.7171867Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:47:10.7172218Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T09:47:10.7172548Z GITHUB_REF_TYPE=branch 2025-12-04T09:47:10.7172890Z TORCH_CUDA_ARCH_LIST=7.5 2025-12-04T09:47:10.7173239Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:47:10.7173730Z XLA_CUDA= 2025-12-04T09:47:10.7174000Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:47:10.7174552Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:47:10.7174925Z *** 2025-12-04T09:47:10.7175176Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:47:10.7175501Z GITHUB_ACTIONS=true 2025-12-04T09:47:10.7175782Z NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:47:10.7176179Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:47:10.7176639Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:47:10.7177075Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:47:10.7177717Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/periodic.yml@refs/heads/main 2025-12-04T09:47:10.7178279Z UCC_HOME=/usr 2025-12-04T09:47:10.7178535Z TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:47:10.7178852Z VERBOSE_TEST_LOGS=False 2025-12-04T09:47:10.7179150Z GITHUB_REF=refs/heads/main 2025-12-04T09:47:10.7179449Z SHARD_NUMBER=4 2025-12-04T09:47:10.7179704Z GITHUB_REF_PROTECTED=true 2025-12-04T09:47:10.7180009Z HOME=/var/lib/jenkins 2025-12-04T09:47:10.7180329Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:47:10.7180702Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1 2025-12-04T09:47:10.7181174Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-12-04T09:47:10.7181573Z USE_SYSTEM_NCCL=1 2025-12-04T09:47:10.7181829Z NUM_TEST_SHARDS=5 2025-12-04T09:47:10.7182090Z UCX_HOME=/usr 2025-12-04T09:47:10.7182756Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_119baf5c-9f06-4555-bd6c-239112d2e63c 2025-12-04T09:47:10.7184165Z JOB_NAME=linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 4, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T09:47:10.7185469Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_119baf5c-9f06-4555-bd6c-239112d2e63c 2025-12-04T09:47:10.7186427Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:47:10.7187029Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:47:10.7187320Z DASHBOARD_TAG= 2025-12-04T09:47:10.7187588Z GITHUB_RUN_ID=19922826259 2025-12-04T09:47:10.7187893Z INSTALLED_OPENBLAS= 2025-12-04T09:47:10.7188607Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_119baf5c-9f06-4555-bd6c-239112d2e63c 2025-12-04T09:47:10.7189404Z GITHUB_ACTOR=huydhn 2025-12-04T09:47:10.7189669Z PR_NUMBER= 2025-12-04T09:47:10.7189913Z DESIRED_CUDA=12.4 2025-12-04T09:47:10.7190171Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:47:10.7190451Z VALGRIND=ON 2025-12-04T09:47:10.7190726Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T09:47:10.7191114Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:47:10.7191519Z TERM=vt100 2025-12-04T09:47:10.7191770Z INSTALLED_VISION=yes 2025-12-04T09:47:10.7192032Z BRANCH=main 2025-12-04T09:47:10.7192283Z SCCACHE_REGION=us-east-1 2025-12-04T09:47:10.7192601Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:47:10.7192916Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:47:10.7193219Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:47:10.7193829Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:47:10.7194499Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:47:10.7194913Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-12-04T09:47:10.7195308Z REENABLED_ISSUES= 2025-12-04T09:47:10.7195553Z DOCS= 2025-12-04T09:47:10.7195779Z SHLVL=1 2025-12-04T09:47:10.7196006Z MAX_JOBS=14 2025-12-04T09:47:10.7196242Z GITHUB_ACTOR_ID=475357 2025-12-04T09:47:10.7196639Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:47:10.7197105Z GITHUB_REF_NAME=main 2025-12-04T09:47:10.7197547Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:47:10.7198032Z GITHUB_JOB=test 2025-12-04T09:47:10.7198297Z NO_TEST_TIMEOUT=False 2025-12-04T09:47:10.7198581Z TD_DISTRIBUTED=False 2025-12-04T09:47:10.7198876Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:47:10.7199224Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:47:10.7199526Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:47:10.7199821Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:47:10.7200734Z 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 2025-12-04T09:47:10.7201689Z GITHUB_BASE_REF= 2025-12-04T09:47:10.7201941Z INSTALLED_ACL= 2025-12-04T09:47:10.7202479Z ARTIFACTS_FILE_SUFFIX=test-legacy_nvidia_driver-4-5-linux.g4dn.4xlarge.nvidia.gpu_57119749265 2025-12-04T09:47:10.7203097Z CI=true 2025-12-04T09:47:10.7203352Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:47:10.7203736Z RUST_LOG=sccache::server=error 2025-12-04T09:47:10.7204053Z JOB_ID=57119749265 2025-12-04T09:47:10.7204320Z GITHUB_HEAD_REF= 2025-12-04T09:47:10.7204572Z GITHUB_ACTION_REF= 2025-12-04T09:47:10.7204908Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:47:10.7205324Z TEST_SHOWLOCALS=False 2025-12-04T09:47:10.7205608Z GITHUB_WORKFLOW=periodic 2025-12-04T09:47:10.7205924Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:47:10.7206666Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_119baf5c-9f06-4555-bd6c-239112d2e63c 2025-12-04T09:47:10.7207404Z NO_TD=False 2025-12-04T09:47:10.7207670Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:47:10.7208030Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:47:10.7208543Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:47:10.7209037Z _=/usr/bin/env 2025-12-04T09:47:10.7209304Z + echo 'Testing pytorch' 2025-12-04T09:47:10.7209606Z Testing pytorch 2025-12-04T09:47:10.7210043Z + export LANG=C.UTF-8 2025-12-04T09:47:10.7210329Z + LANG=C.UTF-8 2025-12-04T09:47:10.7210605Z + PR_NUMBER= 2025-12-04T09:47:10.7210878Z + [[ legacy_nvidia_driver == \d\e\f\a\u\l\t ]] 2025-12-04T09:47:10.7211310Z + [[ legacy_nvidia_driver == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-12-04T09:47:10.7211732Z + [[ legacy_nvidia_driver == \s\l\o\w ]] 2025-12-04T09:47:10.7212180Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *slow-gradcheck* ]] 2025-12-04T09:47:10.7212689Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:47:10.7213135Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-12-04T09:47:10.7213546Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-12-04T09:47:10.7213916Z + [[ legacy_nvidia_driver == *crossref* ]] 2025-12-04T09:47:10.7214337Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *rocm* ]] 2025-12-04T09:47:10.7214789Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *xpu* ]] 2025-12-04T09:47:10.7215242Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *-bazel-* ]] 2025-12-04T09:47:10.7215663Z + pip_install ninja==1.10.2 2025-12-04T09:47:10.7216091Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T09:47:10.7216622Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-12-04T09:47:11.2005516Z Collecting ninja==1.10.2 2025-12-04T09:47:11.2261080Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-12-04T09:47:11.2374607Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-12-04T09:47:11.6586223Z Installing collected packages: ninja 2025-12-04T09:47:11.6586668Z Attempting uninstall: ninja 2025-12-04T09:47:11.6595896Z Found existing installation: ninja 1.11.1.4 2025-12-04T09:47:11.6620178Z Uninstalling ninja-1.11.1.4: 2025-12-04T09:47:11.6688291Z Successfully uninstalled ninja-1.11.1.4 2025-12-04T09:47:11.7068214Z Successfully installed ninja-1.10.2 2025-12-04T09:47:11.7737570Z + 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 2025-12-04T09:47:11.7739482Z + 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 2025-12-04T09:47:11.7740716Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *aarch64* ]] 2025-12-04T09:47:11.7741371Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *asan* ]] 2025-12-04T09:47:11.7741940Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *-debug* ]] 2025-12-04T09:47:11.7742420Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *-bazel-* ]] 2025-12-04T09:47:11.7743089Z + echo 'We are not in debug mode: linux-jammy-cuda12.4-py3.10-gcc11. Expect the assertion to pass' 2025-12-04T09:47:11.7743897Z We are not in debug mode: linux-jammy-cuda12.4-py3.10-gcc11. Expect the assertion to pass 2025-12-04T09:47:11.7744465Z + cd test 2025-12-04T09:47:11.7744879Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-12-04T09:47:13.4858518Z + [[ legacy_nvidia_driver == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-12-04T09:47:13.4859051Z + [[ legacy_nvidia_driver == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-12-04T09:47:13.4859564Z + [[ legacy_nvidia_driver == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-12-04T09:47:13.4861413Z + cd test 2025-12-04T09:47:13.4862206Z + python -c 'import torch; torch.rand(2, 2, device='\''cuda'\'')' 2025-12-04T09:47:18.4273458Z + export USE_LEGACY_DRIVER=1 2025-12-04T09:47:18.4273868Z + USE_LEGACY_DRIVER=1 2025-12-04T09:47:18.4279608Z + DYNAMO_BENCHMARK_FLAGS=() 2025-12-04T09:47:18.4280650Z + [[ legacy_nvidia_driver == *pr_time_benchmarks* ]] 2025-12-04T09:47:18.4281211Z + [[ legacy_nvidia_driver == *dynamo_eager* ]] 2025-12-04T09:47:18.4281601Z + [[ legacy_nvidia_driver == *aot_eager* ]] 2025-12-04T09:47:18.4282001Z + [[ legacy_nvidia_driver == *aot_inductor* ]] 2025-12-04T09:47:18.4282438Z + [[ legacy_nvidia_driver == *max_autotune_inductor* ]] 2025-12-04T09:47:18.4283299Z + [[ legacy_nvidia_driver == *inductor* ]] 2025-12-04T09:47:18.4283673Z + [[ legacy_nvidia_driver == *dynamic* ]] 2025-12-04T09:47:18.4284048Z + [[ legacy_nvidia_driver == *cpu* ]] 2025-12-04T09:47:18.4284411Z + [[ legacy_nvidia_driver == *xpu* ]] 2025-12-04T09:47:18.4284783Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-12-04T09:47:18.4318089Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *libtorch* ]] 2025-12-04T09:47:18.4318581Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *-bazel-* ]] 2025-12-04T09:47:18.4321811Z + cd test 2025-12-04T09:47:18.4322918Z + python -c 'import torch; print(torch.__config__.show())' 2025-12-04T09:47:21.3674617Z PyTorch built with: 2025-12-04T09:47:21.3674974Z - GCC 11.4 2025-12-04T09:47:21.3675239Z - C++ Version: 201703 2025-12-04T09:47:21.3675897Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:47:21.3676755Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:47:21.3677318Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T09:47:21.3677716Z - LAPACK is enabled (usually provided by MKL) 2025-12-04T09:47:21.3678095Z - NNPACK is enabled 2025-12-04T09:47:21.3678401Z - CPU capability usage: AVX512 2025-12-04T09:47:21.3678734Z - CUDA Runtime 12.4 2025-12-04T09:47:21.3679123Z - NVCC architecture flags: -gencode;arch=compute_75,code=sm_75 2025-12-04T09:47:21.3679576Z - CuDNN 90.1 2025-12-04T09:47:21.3685273Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32, CUDA_VERSION=12.4, CUDNN_VERSION=9.1.0, 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, 2025-12-04T09:47:21.3691199Z 2025-12-04T09:47:21.7365760Z + cd test 2025-12-04T09:47:21.7366234Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-12-04T09:47:23.1737136Z ATen/Parallel: 2025-12-04T09:47:23.1737698Z at::get_num_threads() : 8 2025-12-04T09:47:23.1738254Z at::get_num_interop_threads() : 8 2025-12-04T09:47:23.1738869Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T09:47:23.1739421Z omp_get_max_threads() : 8 2025-12-04T09:47:23.1740495Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:47:23.1741759Z mkl_get_max_threads() : 8 2025-12-04T09:47:23.1742461Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:47:23.1743311Z std::thread::hardware_concurrency() : 16 2025-12-04T09:47:23.1743920Z Environment variables: 2025-12-04T09:47:23.1744390Z OMP_NUM_THREADS : [not set] 2025-12-04T09:47:23.1744911Z MKL_NUM_THREADS : [not set] 2025-12-04T09:47:23.1745440Z ATen parallel backend: OpenMP 2025-12-04T09:47:23.1745792Z 2025-12-04T09:47:23.4631229Z + [[ legacy_nvidia_driver == *numpy_2* ]] 2025-12-04T09:47:23.4631880Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *aarch64* ]] 2025-12-04T09:47:23.4632321Z + [[ legacy_nvidia_driver == *backward* ]] 2025-12-04T09:47:23.4632788Z + [[ legacy_nvidia_driver == *libtorch_agnostic_targetting* ]] 2025-12-04T09:47:23.4633723Z + [[ legacy_nvidia_driver == *xla* ]] 2025-12-04T09:47:23.4634095Z + [[ legacy_nvidia_driver == *vllm* ]] 2025-12-04T09:47:23.4634467Z + [[ legacy_nvidia_driver == *executorch* ]] 2025-12-04T09:47:23.4634891Z + [[ legacy_nvidia_driver == \j\i\t\_\l\e\g\a\c\y ]] 2025-12-04T09:47:23.4635345Z + [[ legacy_nvidia_driver == \q\u\a\n\t\i\z\a\t\i\o\n ]] 2025-12-04T09:47:23.4635805Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *libtorch* ]] 2025-12-04T09:47:23.4636254Z + [[ legacy_nvidia_driver == distributed ]] 2025-12-04T09:47:23.4636674Z + [[ legacy_nvidia_driver == *operator_benchmark* ]] 2025-12-04T09:47:23.4637210Z + [[ legacy_nvidia_driver == *operator_microbenchmark* ]] 2025-12-04T09:47:23.4637834Z + [[ legacy_nvidia_driver == *attention_microbenchmark* ]] 2025-12-04T09:47:23.4638315Z + [[ legacy_nvidia_driver == *inductor_distributed* ]] 2025-12-04T09:47:23.4638764Z + [[ legacy_nvidia_driver == *inductor-halide* ]] 2025-12-04T09:47:23.4639188Z + [[ legacy_nvidia_driver == *inductor-pallas* ]] 2025-12-04T09:47:23.4639663Z + [[ legacy_nvidia_driver == *inductor-triton-cpu* ]] 2025-12-04T09:47:23.4640156Z + [[ legacy_nvidia_driver == *inductor-micro-benchmark* ]] 2025-12-04T09:47:23.4640669Z + [[ legacy_nvidia_driver == *aoti_cross_compile_for_windows* ]] 2025-12-04T09:47:23.4641147Z + [[ legacy_nvidia_driver == *huggingface* ]] 2025-12-04T09:47:23.4641540Z + [[ legacy_nvidia_driver == *timm* ]] 2025-12-04T09:47:23.4641919Z + [[ legacy_nvidia_driver == cachebench ]] 2025-12-04T09:47:23.4642311Z + [[ legacy_nvidia_driver == verify_cachebench ]] 2025-12-04T09:47:23.4642729Z + [[ legacy_nvidia_driver == *torchbench* ]] 2025-12-04T09:47:23.4643158Z + [[ legacy_nvidia_driver == *inductor_cpp_wrapper* ]] 2025-12-04T09:47:23.4643584Z + [[ legacy_nvidia_driver == *inductor_core* ]] 2025-12-04T09:47:23.4643983Z + [[ legacy_nvidia_driver == *inductor* ]] 2025-12-04T09:47:23.4644357Z + [[ legacy_nvidia_driver == *einops* ]] 2025-12-04T09:47:23.4644728Z + [[ legacy_nvidia_driver == *dynamo_core* ]] 2025-12-04T09:47:23.4645143Z + [[ legacy_nvidia_driver == *dynamo_wrapped* ]] 2025-12-04T09:47:23.4645578Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *rocm* ]] 2025-12-04T09:47:23.4645963Z + [[ 4 == 1 ]] 2025-12-04T09:47:23.4646195Z + [[ 4 == 2 ]] 2025-12-04T09:47:23.4646443Z + [[ 4 -gt 2 ]] 2025-12-04T09:47:23.4646706Z + install_torchvision 2025-12-04T09:47:23.4646980Z + local orig_preload 2025-12-04T09:47:23.4647256Z + local commit 2025-12-04T09:47:23.4647522Z ++ get_pinned_commit vision 2025-12-04T09:47:23.4647848Z ++ cat .github/ci_commit_pins/vision.txt 2025-12-04T09:47:23.4653474Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:47:23.4654003Z + orig_preload= 2025-12-04T09:47:23.4654302Z + '[' -n '' ']' 2025-12-04T09:47:23.4654687Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:47:23.4655089Z + export FORCE_CUDA=1 2025-12-04T09:47:23.4655355Z + FORCE_CUDA=1 2025-12-04T09:47:23.4655616Z + export WITH_CUDA=1 2025-12-04T09:47:23.4655890Z + WITH_CUDA=1 2025-12-04T09:47:23.4656572Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision 2025-12-04T09:47:23.4657600Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:47:23.4658269Z + local wheel_dir=dist/vision 2025-12-04T09:47:23.4658592Z + local found_whl=0 2025-12-04T09:47:23.4658866Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:47:23.4659216Z + [[ -f dist/vision/*.whl ]] 2025-12-04T09:47:23.4659521Z + '[' 0 == 0 ']' 2025-12-04T09:47:23.4660307Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:47:23.8222331Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:47:23.8227900Z Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-5y63yjmd 2025-12-04T09:47:23.8412007Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-5y63yjmd 2025-12-04T09:47:25.5087472Z Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e' 2025-12-04T09:47:25.5111511Z Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:47:25.6284509Z Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:47:29.1065588Z Preparing metadata (pyproject.toml) ... [?25l- \ | done 2025-12-04T09:47:29.1104946Z [?25hBuilding wheels for collected packages: torchvision 2025-12-04T09:48:57.5265394Z Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - done 2025-12-04T09:48:57.5330836Z [?25h Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl size=1821605 sha256=c795066450d614e784d9d198175f6f7d1a00790401d75462e70f66d17a11fbcd 2025-12-04T09:48:57.5332404Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/12/b2/29/1f82685c5b5173629e1f36a9b93989ce92ce563e5fb91d27ac 2025-12-04T09:48:57.5377226Z Successfully built torchvision 2025-12-04T09:48:57.6387419Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:48:57.6388077Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:48:57.6388890Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl') 2025-12-04T09:48:57.6389416Z + local args 2025-12-04T09:48:57.6389884Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-12-04T09:48:57.6390458Z + for path in "${args[@]}" 2025-12-04T09:48:57.6390996Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl' 2025-12-04T09:48:57.6391844Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:48:57.6392773Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:48:58.0083570Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:48:58.0221878Z Installing collected packages: torchvision 2025-12-04T09:48:58.5421293Z Successfully installed torchvision-0.25.0a0+617079d 2025-12-04T09:48:58.5811265Z + '[' -n '' ']' 2025-12-04T09:48:58.5811570Z + test_python_shard 4 2025-12-04T09:48:58.5811866Z + [[ -z 5 ]] 2025-12-04T09:48:58.5812767Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --exclude-quantization-tests --shard 4 5 --verbose --upload-artifacts-while-running 2025-12-04T09:49:05.5809016Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:49:05.6450050Z Ignoring disabled issues: [''] 2025-12-04T09:49:05.6565132Z Found test times from artifacts 2025-12-04T09:49:05.7009096Z Found test times from artifacts 2025-12-04T09:49:05.7024904Z Running all tests 2025-12-04T09:49:05.7752733Z Running parallel tests on 2 processes 2025-12-04T09:49:05.7764440Z Name: tests to run (est. time: 148.11min) 2025-12-04T09:49:05.7764888Z Serial tests (0): 2025-12-04T09:49:05.7765167Z Parallel tests (133): 2025-12-04T09:49:05.7765487Z inductor/test_aot_inductor 3/6 2025-12-04T09:49:05.7765897Z inductor/test_torchinductor_dynamic_shapes 1/5 2025-12-04T09:49:05.7766455Z inductor/test_torchinductor_dynamic_shapes 2/5 2025-12-04T09:49:05.7766974Z inductor/test_torchinductor_codegen_dynamic_shapes 1/4 2025-12-04T09:49:05.7767600Z inductor/test_torchinductor_opinfo 1/17 2025-12-04T09:49:05.7768160Z inductor/test_torchinductor_opinfo 5/17 2025-12-04T09:49:05.7768617Z inductor/test_torchinductor_opinfo 9/17 2025-12-04T09:49:05.7770013Z inductor/test_torchinductor_opinfo 14/17 2025-12-04T09:49:05.7770421Z inductor/test_pattern_matcher 1/1 2025-12-04T09:49:05.7770787Z inductor/test_cudagraph_trees 1/1 2025-12-04T09:49:05.7771171Z inductor/test_cuda_select_algorithm 3/5 2025-12-04T09:49:05.7771559Z inductor/test_deterministic 2/8 2025-12-04T09:49:05.7771912Z inductor/test_deterministic 6/8 2025-12-04T09:49:05.7772275Z dynamo/test_regional_inductor 1/1 2025-12-04T09:49:05.7772643Z dynamo/test_fx_graph_runnable 1/1 2025-12-04T09:49:05.7772990Z dynamo/test_backends 1/1 2025-12-04T09:49:05.7773335Z inductor/test_aot_inductor_package 1/1 2025-12-04T09:49:05.7773721Z higher_order_ops/test_local_map 1/1 2025-12-04T09:49:05.7774069Z test_dataloader 1/2 2025-12-04T09:49:05.7774395Z test_dataloader 2/2 2025-12-04T09:49:05.7774681Z test_decomp 5/17 2025-12-04T09:49:05.7774956Z test_decomp 9/17 2025-12-04T09:49:05.7775217Z test_decomp 15/17 2025-12-04T09:49:05.7775508Z test_ops_fwd_gradients 2/2 2025-12-04T09:49:05.7775837Z test_ops_jit 1/2 2025-12-04T09:49:05.7776109Z test_nestedtensor 1/4 2025-12-04T09:49:05.7776404Z test_ops 2/11 2025-12-04T09:49:05.7776664Z test_ops 6/11 2025-12-04T09:49:05.7776922Z functorch/test_dims 1/1 2025-12-04T09:49:05.7777233Z test_sparse_csr 1/2 2025-12-04T09:49:05.7777533Z functorch/test_ops 3/7 2025-12-04T09:49:05.7777851Z test_torchfuzz_repros 1/1 2025-12-04T09:49:05.7778183Z inductor/test_group_batch_fusion 1/1 2025-12-04T09:49:05.7778562Z dynamo/test_dynamic_shapes 1/1 2025-12-04T09:49:05.7778906Z inductor/test_smoke 1/1 2025-12-04T09:49:05.7779224Z inductor/test_inductor_freezing 1/1 2025-12-04T09:49:05.7779592Z dynamo/test_unspec 1/1 2025-12-04T09:49:05.7779910Z dynamo/test_higher_order_ops 1/1 2025-12-04T09:49:05.7780254Z inductor/test_mmdecomp 1/1 2025-12-04T09:49:05.7780582Z dynamo/test_ctx_manager 1/1 2025-12-04T09:49:05.7780990Z dynamo/test_exc 1/1 2025-12-04T09:49:05.7781267Z dynamo/test_misc 1/1 2025-12-04T09:49:05.7781613Z inductor/test_aot_inductor_arrayref 1/2 2025-12-04T09:49:05.7781994Z inductor/test_halide 1/1 2025-12-04T09:49:05.7782308Z inductor/test_xpu_basic 1/1 2025-12-04T09:49:05.7782673Z export/test_tree_utils 1/1 2025-12-04T09:49:05.7782997Z inductor/test_triton_wrapper 1/1 2025-12-04T09:49:05.7783378Z inductor/test_static_cuda_launcher 1/1 2025-12-04T09:49:05.7783766Z export/test_dynamic_shapes 1/1 2025-12-04T09:49:05.7784098Z dynamo/test_sdpa 1/1 2025-12-04T09:49:05.7784405Z dynamo/test_utils 1/1 2025-12-04T09:49:05.7784737Z inductor/test_provenance_tracing 1/1 2025-12-04T09:49:05.7785107Z inductor/test_combo_kernels 1/1 2025-12-04T09:49:05.7785470Z inductor/test_codegen_triton 1/1 2025-12-04T09:49:05.7785826Z dynamo/test_frame_init 1/1 2025-12-04T09:49:05.7786166Z inductor/test_device_assert 1/1 2025-12-04T09:49:05.7786510Z dynamo/test_skip_non_tensor 1/1 2025-12-04T09:49:05.7786882Z dynamo/test_skip_guard_eval_unsafe 1/1 2025-12-04T09:49:05.7787268Z dynamo/test_interop 1/1 2025-12-04T09:49:05.7787595Z functorch/test_eager_transforms 1/1 2025-12-04T09:49:05.7787972Z inductor/test_control_deps 1/1 2025-12-04T09:49:05.7788332Z inductor/test_benchmarking 1/1 2025-12-04T09:49:05.7788674Z inductor/test_helion_kernels 1/1 2025-12-04T09:49:05.7789038Z inductor/test_quantization 1/1 2025-12-04T09:49:05.7789388Z inductor/test_best_config 1/1 2025-12-04T09:49:05.7789710Z export/test_tools 1/1 2025-12-04T09:49:05.7790040Z inductor/test_compiled_optimizers 1/3 2025-12-04T09:49:05.7790419Z inductor/test_control_flow 3/4 2025-12-04T09:49:05.7790763Z inductor/test_needs_exact_strides 1/1 2025-12-04T09:49:05.7791146Z inductor/test_auto_functionalize 1/1 2025-12-04T09:49:05.7791545Z inductor/test_split_cat_fx_aten_passes 1/1 2025-12-04T09:49:05.7791943Z inductor/test_minifier_isolate 1/1 2025-12-04T09:49:05.7792303Z dynamo/test_python_dispatcher 1/1 2025-12-04T09:49:05.7793547Z export/test_swap 1/1 2025-12-04T09:49:05.7793956Z export/test_unflatten 1/1 2025-12-04T09:49:05.7794292Z dynamo/test_verify_correctness 1/1 2025-12-04T09:49:05.7794662Z inductor/test_fxir_backend 1/1 2025-12-04T09:49:05.7795019Z dynamo/test_aot_autograd_cache 1/1 2025-12-04T09:49:05.7795369Z inductor/test_mps_basic 1/1 2025-12-04T09:49:05.7795701Z test_proxy_tensor 1/1 2025-12-04T09:49:05.7796021Z torch_np/test_binary_ufuncs 1/1 2025-12-04T09:49:05.7796364Z torch_np/test_unary_ufuncs 1/1 2025-12-04T09:49:05.7796705Z test_utils_filelock 1/1 2025-12-04T09:49:05.7797076Z test_rename_privateuse1_to_existing_device 1/1 2025-12-04T09:49:05.7797484Z nn/attention/test_fa4 1/1 2025-12-04T09:49:05.7797812Z typing/test_python_operators 1/1 2025-12-04T09:49:05.7798175Z test_functionalization 1/1 2025-12-04T09:49:05.7798677Z torch_np/test_dtype 1/1 2025-12-04T09:49:05.7799273Z test_file_check 1/1 2025-12-04T09:49:05.7799667Z profiler/test_kineto 1/1 2025-12-04T09:49:05.7800000Z test_flop_counter 1/1 2025-12-04T09:49:05.7800299Z backends/xeon/test_launch 1/1 2025-12-04T09:49:05.7800628Z test_openmp 1/1 2025-12-04T09:49:05.7800911Z test_expanded_weights 1/1 2025-12-04T09:49:05.7801225Z test_module_tracker 1/1 2025-12-04T09:49:05.7801594Z torch_np/numpy_tests/core/test_scalarinherit 1/1 2025-12-04T09:49:05.7802019Z test_tensorexpr_pybind 1/1 2025-12-04T09:49:05.7802339Z test_fx_experimental 1/1 2025-12-04T09:49:05.7802917Z functorch/test_ac_knapsack 1/1 2025-12-04T09:49:05.7803503Z torch_np/test_nep50_examples 1/1 2025-12-04T09:49:05.7803834Z test_fx_passes 1/1 2025-12-04T09:49:05.7804132Z functorch/test_logging 1/1 2025-12-04T09:49:05.7804452Z test_namedtensor 1/1 2025-12-04T09:49:05.7804760Z functorch/test_minifier 1/1 2025-12-04T09:49:05.7805099Z higher_order_ops/test_invoke_quant 1/1 2025-12-04T09:49:05.7805466Z torch_np/test_basic 1/1 2025-12-04T09:49:05.7805772Z test_jiterator 1/1 2025-12-04T09:49:05.7806067Z test_native_functions 1/1 2025-12-04T09:49:05.7806383Z test_typing 1/1 2025-12-04T09:49:05.7806672Z functorch/test_control_flow 2/2 2025-12-04T09:49:05.7807030Z complex_tensor/test_complex_tensor 1/1 2025-12-04T09:49:05.7807412Z test_xnnpack_integration 1/1 2025-12-04T09:49:05.7807798Z torch_np/numpy_tests/core/test_numerictypes 1/1 2025-12-04T09:49:05.7808200Z test_function_schema 1/1 2025-12-04T09:49:05.7808517Z test_accelerator 1/1 2025-12-04T09:49:05.7808805Z nn/test_init 1/1 2025-12-04T09:49:05.7809130Z torch_np/numpy_tests/core/test_scalar_methods 1/1 2025-12-04T09:49:05.7809567Z torch_np/numpy_tests/fft/test_helper 1/1 2025-12-04T09:49:05.7809953Z torch_np/test_function_base 1/1 2025-12-04T09:49:05.7810300Z test_type_promotion 1/1 2025-12-04T09:49:05.7810615Z torch_np/test_scalars_0D_arrays 1/1 2025-12-04T09:49:05.7810990Z profiler/test_profiler_tree 1/1 2025-12-04T09:49:05.7811387Z torch_np/numpy_tests/lib/test_arraysetops 1/1 2025-12-04T09:49:05.7811777Z test_dlpack 1/1 2025-12-04T09:49:05.7812064Z profiler/test_torch_tidy 1/1 2025-12-04T09:49:05.7812400Z lazy/test_reuse_ir 1/1 2025-12-04T09:49:05.7812725Z test_functional_autograd_benchmark 1/1 2025-12-04T09:49:05.7813110Z torch_np/test_reductions 1/1 2025-12-04T09:49:05.7813488Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 2025-12-04T09:49:05.7813913Z torch_np/numpy_tests/lib/test_arraypad 1/1 2025-12-04T09:49:05.7814287Z test_prims 1/1 2025-12-04T09:49:05.7814577Z profiler/test_python_tracer 1/1 2025-12-04T09:49:05.7815115Z cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 2025-12-04T09:49:05.7815694Z Name: excluded (est. time: 0.0min) 2025-12-04T09:49:05.7816032Z Serial tests (0): 2025-12-04T09:49:05.7816307Z Parallel tests (0): 2025-12-04T09:49:05.7816787Z Running inductor/test_aot_inductor 3/6 ... [2025-12-04 09:49:05.779672][985.106610987] 2025-12-04T09:49:05.7817347Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:05.7819068Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor.py', '-m', 'serial', '--shard-id=3', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:49:05.780108] 2025-12-04T09:49:23.0868445Z 2025-12-04T09:49:23.0870257Z inductor/test_aot_inductor 3/6 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_3.6_c172ea11c4854cfb_.log 2025-12-04T09:49:23.0871247Z Running 0 items in this shard: 2025-12-04T09:49:23.0871481Z 2025-12-04T09:49:23.0871834Z Finished inductor/test_aot_inductor 3/6 ... [2025-12-04 09:49:23.086805][1002.413740912], took 0.29min 2025-12-04T09:49:23.0877891Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-7922d1cafec10e37.xml 2025-12-04T09:49:23.4952741Z Uploading artifacts took 0.11 seconds 2025-12-04T09:49:23.4957640Z Running inductor/test_torchinductor_dynamic_shapes 1/5 ... [2025-12-04 09:49:23.495518][1002.822456323] 2025-12-04T09:49:23.4958417Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:23.4962646Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '-m', 'serial', '--shard-id=1', '--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 09:49:23.495936] 2025-12-04T09:49:39.2128864Z 2025-12-04T09:49:39.2130155Z inductor/test_torchinductor_dynamic_shapes 1/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_1.5_95096a0887f1a247_.log 2025-12-04T09:49:39.2131447Z Running 0 items in this shard: 2025-12-04T09:49:39.2131668Z 2025-12-04T09:49:39.2132149Z Finished inductor/test_torchinductor_dynamic_shapes 1/5 ... [2025-12-04 09:49:39.212678][1018.539613774], took 0.26min 2025-12-04T09:49:39.2138226Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-07859c0a88e56c72.xml 2025-12-04T09:49:39.2907742Z Running inductor/test_torchinductor_dynamic_shapes 2/5 ... [2025-12-04 09:49:39.290476][1018.617413803] 2025-12-04T09:49:39.2908452Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:39.2925539Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.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 09:49:39.290859] 2025-12-04T09:49:54.6499761Z 2025-12-04T09:49:54.6501116Z inductor/test_torchinductor_dynamic_shapes 2/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_2.5_d64bd21cd4d486a3_.log 2025-12-04T09:49:54.6502282Z Running 0 items in this shard: 2025-12-04T09:49:54.6502504Z 2025-12-04T09:49:54.6502947Z Finished inductor/test_torchinductor_dynamic_shapes 2/5 ... [2025-12-04 09:49:54.648983][1033.97591781], took 0.26min 2025-12-04T09:49:54.6504513Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-976881f540ae337e.xml 2025-12-04T09:49:54.7238396Z Running inductor/test_torchinductor_codegen_dynamic_shapes 1/4 ... [2025-12-04 09:49:54.723521][1034.050457846] 2025-12-04T09:49:54.7239130Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:54.7242583Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_codegen_dynamic_shapes.py', '-m', 'serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:49:54.723926] 2025-12-04T09:50:10.0253193Z 2025-12-04T09:50:10.0255313Z inductor/test_torchinductor_codegen_dynamic_shapes 1/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_dynamic_shapes_1.4_9ff1ff491af51298_.log 2025-12-04T09:50:10.0257429Z Running 0 items in this shard: 2025-12-04T09:50:10.0257793Z 2025-12-04T09:50:10.0258619Z Finished inductor/test_torchinductor_codegen_dynamic_shapes 1/4 ... [2025-12-04 09:50:10.025003][1049.351936007], took 0.26min 2025-12-04T09:50:10.0265472Z 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-56f407d42588f227.xml 2025-12-04T09:50:10.0945365Z Running inductor/test_torchinductor_opinfo 1/17 ... [2025-12-04 09:50:10.094151][1049.421087689] 2025-12-04T09:50:10.0946444Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:10.0949490Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=1', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:50:10.094553] 2025-12-04T09:50:30.4524096Z 2025-12-04T09:50:30.4525383Z inductor/test_torchinductor_opinfo 1/17 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_1.17_4a2b7246a572f516_.log 2025-12-04T09:50:30.4526438Z Running 0 items in this shard: 2025-12-04T09:50:30.4526675Z 2025-12-04T09:50:30.4527083Z Finished inductor/test_torchinductor_opinfo 1/17 ... [2025-12-04 09:50:30.452158][1069.779094504], took 0.34min 2025-12-04T09:50:30.4537129Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-ffe153e2804e1cf1.xml 2025-12-04T09:50:30.5166798Z Running inductor/test_torchinductor_opinfo 5/17 ... [2025-12-04 09:50:30.516370][1069.843306442] 2025-12-04T09:50:30.5167430Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:30.5170904Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=5', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:50:30.516783] 2025-12-04T09:50:50.9897620Z 2025-12-04T09:50:50.9898770Z inductor/test_torchinductor_opinfo 5/17 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_5.17_b413b0d593571143_.log 2025-12-04T09:50:50.9899871Z Running 0 items in this shard: 2025-12-04T09:50:50.9900101Z 2025-12-04T09:50:50.9900523Z Finished inductor/test_torchinductor_opinfo 5/17 ... [2025-12-04 09:50:50.989564][1090.316500369], took 0.34min 2025-12-04T09:50:50.9912193Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-5372e279f9f7f71f.xml 2025-12-04T09:50:51.0595339Z Running inductor/test_torchinductor_opinfo 9/17 ... [2025-12-04 09:50:51.059221][1090.38615696] 2025-12-04T09:50:51.0595990Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:50:51.0599278Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=9', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:50:51.059629] 2025-12-04T09:51:12.0056728Z 2025-12-04T09:51:12.0058465Z inductor/test_torchinductor_opinfo 9/17 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_9.17_18dd00136feef263_.log 2025-12-04T09:51:12.0059545Z Running 0 items in this shard: 2025-12-04T09:51:12.0059777Z 2025-12-04T09:51:12.0060203Z Finished inductor/test_torchinductor_opinfo 9/17 ... [2025-12-04 09:51:12.005442][1111.332377654], took 0.35min 2025-12-04T09:51:12.0072835Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-3bcdcab9df9c4514.xml 2025-12-04T09:51:12.0770240Z Running inductor/test_torchinductor_opinfo 14/17 ... [2025-12-04 09:51:12.076687][1111.403622845] 2025-12-04T09:51:12.0770888Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:12.0774081Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=14', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:51:12.077118] 2025-12-04T09:51:32.8713747Z 2025-12-04T09:51:32.8715121Z inductor/test_torchinductor_opinfo 14/17 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_14.17_b66104dd277c35eb_.log 2025-12-04T09:51:32.8716213Z Running 0 items in this shard: 2025-12-04T09:51:32.8716433Z 2025-12-04T09:51:32.8716847Z Finished inductor/test_torchinductor_opinfo 14/17 ... [2025-12-04 09:51:32.871156][1132.198091864], took 0.35min 2025-12-04T09:51:32.8730507Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-6ee053762df4125f.xml 2025-12-04T09:51:32.9941962Z Running inductor/test_pattern_matcher 1/1 ... [2025-12-04 09:51:32.993841][1132.320776793] 2025-12-04T09:51:32.9942626Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:32.9945994Z 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 09:51:32.994277] 2025-12-04T09:51:42.9618180Z 2025-12-04T09:51:42.9619314Z 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_e57e30d0c8e09003_.log 2025-12-04T09:51:42.9620318Z Running 0 items in this shard: 2025-12-04T09:51:42.9620536Z 2025-12-04T09:51:42.9620926Z Finished inductor/test_pattern_matcher 1/1 ... [2025-12-04 09:51:42.961621][1142.288557379], took 0.17min 2025-12-04T09:51:42.9637254Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_pattern_matcher/inductor.test_pattern_matcher-a7bfb19d7f315b8a.xml 2025-12-04T09:51:43.0418807Z Running inductor/test_cudagraph_trees 1/1 ... [2025-12-04 09:51:43.041554][1142.368490446] 2025-12-04T09:51:43.0419415Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:43.0422859Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cudagraph_trees.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:51:43.041970] 2025-12-04T09:51:53.5531553Z 2025-12-04T09:51:53.5532672Z inductor/test_cudagraph_trees 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_1.1_309c4d26719a8e98_.log 2025-12-04T09:51:53.5535953Z Running 0 items in this shard: 2025-12-04T09:51:53.5536234Z 2025-12-04T09:51:53.5536907Z Finished inductor/test_cudagraph_trees 1/1 ... [2025-12-04 09:51:53.552932][1152.879867315], took 0.18min 2025-12-04T09:51:53.5551895Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cudagraph_trees/inductor.test_cudagraph_trees-4c69d5d5a7985e48.xml 2025-12-04T09:51:53.6331178Z Running inductor/test_cuda_select_algorithm 3/5 ... [2025-12-04 09:51:53.632766][1152.959702329] 2025-12-04T09:51:53.6331834Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:51:53.6335065Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cuda_select_algorithm.py', '-m', 'serial', '--shard-id=3', '--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 09:51:53.633207] 2025-12-04T09:52:05.7280765Z 2025-12-04T09:52:05.7281924Z inductor/test_cuda_select_algorithm 3/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cuda_select_algorithm_3.5_d2914826068dcfb4_.log 2025-12-04T09:52:05.7283034Z Running 0 items in this shard: 2025-12-04T09:52:05.7283255Z 2025-12-04T09:52:05.7283670Z Finished inductor/test_cuda_select_algorithm 3/5 ... [2025-12-04 09:52:05.727866][1165.054801421], took 0.20min 2025-12-04T09:52:05.7302317Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-e1560a0414481215.xml 2025-12-04T09:52:05.8005065Z Running inductor/test_deterministic 2/8 ... [2025-12-04 09:52:05.800122][1165.127057815] 2025-12-04T09:52:05.8005707Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:05.8008776Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_deterministic.py', '-m', 'serial', '--shard-id=2', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:52:05.800558] 2025-12-04T09:52:15.3724516Z 2025-12-04T09:52:15.3725625Z inductor/test_deterministic 2/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_deterministic_2.8_b5c08b74d2867075_.log 2025-12-04T09:52:15.3726597Z Running 0 items in this shard: 2025-12-04T09:52:15.3726831Z 2025-12-04T09:52:15.3727202Z Finished inductor/test_deterministic 2/8 ... [2025-12-04 09:52:15.372245][1174.699181731], took 0.16min 2025-12-04T09:52:15.3748295Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_deterministic/inductor.test_deterministic-c9ea9029df25ec41.xml 2025-12-04T09:52:15.4423090Z Running inductor/test_deterministic 6/8 ... [2025-12-04 09:52:15.441979][1174.768915083] 2025-12-04T09:52:15.4423690Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:15.4427140Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_deterministic.py', '-m', 'serial', '--shard-id=6', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:52:15.442412] 2025-12-04T09:52:25.4467661Z 2025-12-04T09:52:25.4468702Z inductor/test_deterministic 6/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_deterministic_6.8_0673ee810083131d_.log 2025-12-04T09:52:25.4469691Z Running 0 items in this shard: 2025-12-04T09:52:25.4469909Z 2025-12-04T09:52:25.4470282Z Finished inductor/test_deterministic 6/8 ... [2025-12-04 09:52:25.446570][1184.773506325], took 0.17min 2025-12-04T09:52:25.4491912Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_deterministic/inductor.test_deterministic-6a0301030b24c1d7.xml 2025-12-04T09:52:25.5271567Z Running dynamo/test_regional_inductor 1/1 ... [2025-12-04 09:52:25.526832][1184.853767361] 2025-12-04T09:52:25.5272191Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:25.5275521Z 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 09:52:25.527270] 2025-12-04T09:52:35.4159812Z 2025-12-04T09:52:35.4161094Z 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_8e781093f6cc951d_.log 2025-12-04T09:52:35.4162092Z Running 0 items in this shard: 2025-12-04T09:52:35.4162323Z 2025-12-04T09:52:35.4162695Z Finished dynamo/test_regional_inductor 1/1 ... [2025-12-04 09:52:35.415788][1194.742724402], took 0.16min 2025-12-04T09:52:35.4185195Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-8e4a22c53660608c.xml 2025-12-04T09:52:35.4831362Z Running dynamo/test_fx_graph_runnable 1/1 ... [2025-12-04 09:52:35.482836][1194.809772838] 2025-12-04T09:52:35.4831966Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:35.4835309Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fx_graph_runnable.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:52:35.483270] 2025-12-04T09:52:45.4425187Z 2025-12-04T09:52:45.4426232Z dynamo/test_fx_graph_runnable 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_graph_runnable_1.1_7c6ae348905ed999_.log 2025-12-04T09:52:45.4427227Z Running 0 items in this shard: 2025-12-04T09:52:45.4427448Z 2025-12-04T09:52:45.4427830Z Finished dynamo/test_fx_graph_runnable 1/1 ... [2025-12-04 09:52:45.442314][1204.769250076], took 0.17min 2025-12-04T09:52:45.4452763Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_fx_graph_runnable/dynamo.test_fx_graph_runnable-7fa81dd6f9ff28be.xml 2025-12-04T09:52:45.5119046Z Running dynamo/test_backends 1/1 ... [2025-12-04 09:52:45.511641][1204.838578782] 2025-12-04T09:52:45.5119618Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:45.5123077Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_backends.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:52:45.512057] 2025-12-04T09:52:57.1344565Z 2025-12-04T09:52:57.1346064Z dynamo/test_backends 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backends_1.1_af26c68ecd5659c0_.log 2025-12-04T09:52:57.1347773Z Running 0 items in this shard: 2025-12-04T09:52:57.1348271Z 2025-12-04T09:52:57.1348913Z Finished dynamo/test_backends 1/1 ... [2025-12-04 09:52:57.134213][1216.461149298], took 0.19min 2025-12-04T09:52:57.1376516Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_backends/dynamo.test_backends-463fdead68764445.xml 2025-12-04T09:52:57.2121107Z Running inductor/test_aot_inductor_package 1/1 ... [2025-12-04 09:52:57.211762][1216.538697561] 2025-12-04T09:52:57.2122134Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:52:57.2126627Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor_package.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:52:57.212246] 2025-12-04T09:53:07.0111097Z 2025-12-04T09:53:07.0112366Z inductor/test_aot_inductor_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_package_1.1_e5dc79181611fa12_.log 2025-12-04T09:53:07.0113560Z Running 0 items in this shard: 2025-12-04T09:53:07.0113782Z 2025-12-04T09:53:07.0114178Z Finished inductor/test_aot_inductor_package 1/1 ... [2025-12-04 09:53:07.010904][1226.337840187], took 0.16min 2025-12-04T09:53:07.0143314Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor_package/inductor.test_aot_inductor_package-ebe268ccaec7a104.xml 2025-12-04T09:53:07.0810228Z Running higher_order_ops/test_local_map 1/1 ... [2025-12-04 09:53:07.080698][1226.407633013] 2025-12-04T09:53:07.0810852Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:53:07.0813725Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_local_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 09:53:07.081102] 2025-12-04T09:53:12.3018694Z 2025-12-04T09:53:12.3020291Z higher_order_ops/test_local_map 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_local_map_1.1_0f59cc50b9151229_.log 2025-12-04T09:53:12.3022059Z Running 0 items in this shard: 2025-12-04T09:53:12.3022411Z 2025-12-04T09:53:12.3023057Z Finished higher_order_ops/test_local_map 1/1 ... [2025-12-04 09:53:12.301651][1231.628587855], took 0.09min 2025-12-04T09:53:12.3050236Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_local_map/higher_order_ops.test_local_map-33cd47748a3cac28.xml 2025-12-04T09:53:12.3273946Z Running test_dataloader 1/2 ... [2025-12-04 09:53:12.327227][1231.654166351] 2025-12-04T09:53:12.3274487Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:53:12.3278081Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dataloader.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 09:53:12.327565] 2025-12-04T09:53:19.9166624Z 2025-12-04T09:53:19.9167786Z test_dataloader 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_dataloader_1.2_176a6d12822be63d_.log 2025-12-04T09:53:19.9168628Z Running 0 items in this shard: 2025-12-04T09:53:19.9168861Z 2025-12-04T09:53:19.9169158Z Finished test_dataloader 1/2 ... [2025-12-04 09:53:19.916453][1239.243389332], took 0.13min 2025-12-04T09:53:19.9199371Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dataloader/test_dataloader-7ad2ecc9026b0ad6.xml 2025-12-04T09:53:19.9895862Z Running test_dataloader 2/2 ... [2025-12-04 09:53:19.989266][1239.316202174] 2025-12-04T09:53:19.9896414Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:53:19.9899495Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dataloader.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 09:53:19.989677] 2025-12-04T09:53:27.5409654Z 2025-12-04T09:53:27.5410577Z test_dataloader 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_dataloader_2.2_c8d4019c957a5297_.log 2025-12-04T09:53:27.5411425Z Running 0 items in this shard: 2025-12-04T09:53:27.5411643Z 2025-12-04T09:53:27.5411941Z Finished test_dataloader 2/2 ... [2025-12-04 09:53:27.540751][1246.86768644], took 0.13min 2025-12-04T09:53:27.5445353Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dataloader/test_dataloader-8da87fdba04d2f22.xml 2025-12-04T09:53:27.6134189Z Running test_decomp 5/17 ... [2025-12-04 09:53:27.613116][1246.940050366] 2025-12-04T09:53:27.6135165Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:53:27.6138055Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=5', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:53:27.613511] 2025-12-04T09:53:53.8953981Z 2025-12-04T09:53:53.8954924Z test_decomp 5/17 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_5.17_3b638f48f59e0988_.log 2025-12-04T09:53:53.8955721Z Running 0 items in this shard: 2025-12-04T09:53:53.8955958Z 2025-12-04T09:53:53.8956237Z Finished test_decomp 5/17 ... [2025-12-04 09:53:53.895196][1273.222132642], took 0.44min 2025-12-04T09:53:53.8989470Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-2ae660e0c0af959a.xml 2025-12-04T09:53:53.9683357Z Running test_decomp 9/17 ... [2025-12-04 09:53:53.968049][1273.294985938] 2025-12-04T09:53:53.9683883Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:53:53.9687002Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=9', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:53:53.968438] 2025-12-04T09:54:20.2106476Z 2025-12-04T09:54:20.2107517Z test_decomp 9/17 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_9.17_24b1850b274f5875_.log 2025-12-04T09:54:20.2108327Z Running 0 items in this shard: 2025-12-04T09:54:20.2108566Z 2025-12-04T09:54:20.2108843Z Finished test_decomp 9/17 ... [2025-12-04 09:54:20.210446][1299.537382316], took 0.44min 2025-12-04T09:54:20.2144117Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-278faaf2afae9695.xml 2025-12-04T09:54:20.2882273Z Running test_decomp 15/17 ... [2025-12-04 09:54:20.287957][1299.614894633] 2025-12-04T09:54:20.2882808Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:20.2885865Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=15', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:54:20.288318] 2025-12-04T09:54:46.5486943Z 2025-12-04T09:54:46.5487853Z test_decomp 15/17 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_15.17_4bafcd9442722ccf_.log 2025-12-04T09:54:46.5488675Z Running 0 items in this shard: 2025-12-04T09:54:46.5488900Z 2025-12-04T09:54:46.5489198Z Finished test_decomp 15/17 ... [2025-12-04 09:54:46.548493][1325.875429792], took 0.44min 2025-12-04T09:54:46.5525314Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-baf5caf51bfb6f88.xml 2025-12-04T09:54:46.6291502Z Running test_ops_fwd_gradients 2/2 ... [2025-12-04 09:54:46.628911][1325.955849435] 2025-12-04T09:54:46.6292068Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:54:46.6295333Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_fwd_gradients.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 09:54:46.629267] 2025-12-04T09:55:01.0843600Z 2025-12-04T09:55:01.0844599Z test_ops_fwd_gradients 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_2.2_b8c82be8e4516edf_.log 2025-12-04T09:55:01.0845524Z Running 0 items in this shard: 2025-12-04T09:55:01.0845756Z 2025-12-04T09:55:01.0846445Z Finished test_ops_fwd_gradients 2/2 ... [2025-12-04 09:55:01.084176][1340.411112482], took 0.24min 2025-12-04T09:55:01.0883671Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-6ff2e1f4cb1f70a8.xml 2025-12-04T09:55:01.1545135Z Running test_ops_jit 1/2 ... [2025-12-04 09:55:01.154230][1340.481166575] 2025-12-04T09:55:01.1545665Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:55:01.1548889Z 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 09:55:01.154616] 2025-12-04T09:55:11.4174208Z 2025-12-04T09:55:11.4175077Z test_ops_jit 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_1.2_277e35eb585b6c8d_.log 2025-12-04T09:55:11.4175889Z Running 0 items in this shard: 2025-12-04T09:55:11.4176161Z 2025-12-04T09:55:11.4176449Z Finished test_ops_jit 1/2 ... [2025-12-04 09:55:11.417204][1350.744140048], took 0.17min 2025-12-04T09:55:11.4215693Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-f14ea46777dbde15.xml 2025-12-04T09:55:11.4877960Z Running test_nestedtensor 1/4 ... [2025-12-04 09:55:11.487496][1350.814430295] 2025-12-04T09:55:11.4878520Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:55:11.4881608Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_nestedtensor.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 09:55:11.487897] 2025-12-04T09:55:23.0889769Z 2025-12-04T09:55:23.0890775Z test_nestedtensor 1/4 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_1.4_6a90b9d075855d39_.log 2025-12-04T09:55:23.0891663Z Running 0 items in this shard: 2025-12-04T09:55:23.0891878Z 2025-12-04T09:55:23.0892200Z Finished test_nestedtensor 1/4 ... [2025-12-04 09:55:23.088775][1362.415711096], took 0.19min 2025-12-04T09:55:23.0932844Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nestedtensor/test_nestedtensor-051046424487a1d5.xml 2025-12-04T09:55:23.1717251Z Running test_ops 2/11 ... [2025-12-04 09:55:23.171391][1362.498327159] 2025-12-04T09:55:23.1717760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:55:23.1720668Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=2', '--num-shards=11', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:23.171792] 2025-12-04T09:56:43.2247806Z 2025-12-04T09:56:43.2248703Z test_ops 2/11 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_2.11_1161584b4c1ff0fa_.log 2025-12-04T09:56:43.2249488Z Running 0 items in this shard: 2025-12-04T09:56:43.2249704Z 2025-12-04T09:56:43.2249979Z Finished test_ops 2/11 ... [2025-12-04 09:56:43.224586][1442.551522496], took 1.33min 2025-12-04T09:56:43.2292205Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-b205178a006be253.xml 2025-12-04T09:56:43.2961737Z Running test_ops 6/11 ... [2025-12-04 09:56:43.295938][1442.622876762] 2025-12-04T09:56:43.2962243Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:56:43.2965482Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=6', '--num-shards=11', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:56:43.296291] 2025-12-04T09:58:03.4752274Z 2025-12-04T09:58:03.4753524Z test_ops 6/11 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_6.11_1bb2f9b36d65d8bd_.log 2025-12-04T09:58:03.4754337Z Running 0 items in this shard: 2025-12-04T09:58:03.4754557Z 2025-12-04T09:58:03.4754816Z Finished test_ops 6/11 ... [2025-12-04 09:58:03.475030][1522.801965699], took 1.34min 2025-12-04T09:58:03.4798477Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-ff5b290e83d04bec.xml 2025-12-04T09:58:03.5609389Z Running functorch/test_dims 1/1 ... [2025-12-04 09:58:03.560700][1522.887638047] 2025-12-04T09:58:03.5609962Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:58:03.5613303Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_dims.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:58:03.561053] 2025-12-04T09:58:08.4422011Z 2025-12-04T09:58:08.4423075Z functorch/test_dims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_dims_1.1_538dbac85d3feac3_.log 2025-12-04T09:58:08.4424059Z Running 0 items in this shard: 2025-12-04T09:58:08.4424307Z 2025-12-04T09:58:08.4424676Z Finished functorch/test_dims 1/1 ... [2025-12-04 09:58:08.442004][1527.768940203], took 0.08min 2025-12-04T09:58:08.4468968Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_dims/functorch.test_dims-710966db16b9e9f0.xml 2025-12-04T09:58:08.4771594Z Running test_sparse_csr 1/2 ... [2025-12-04 09:58:08.476955][1527.803893017] 2025-12-04T09:58:08.4772099Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:58:08.4775697Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sparse_csr.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 09:58:08.477320] 2025-12-04T09:58:26.7578058Z 2025-12-04T09:58:26.7578989Z test_sparse_csr 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_1.2_5801f608ce4c9d5e_.log 2025-12-04T09:58:26.7579819Z Running 0 items in this shard: 2025-12-04T09:58:26.7580053Z 2025-12-04T09:58:26.7580343Z Finished test_sparse_csr 1/2 ... [2025-12-04 09:58:26.757587][1546.08452299], took 0.30min 2025-12-04T09:58:26.7627081Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sparse_csr/test_sparse_csr-8799f531531b3520.xml 2025-12-04T09:58:26.8601828Z Running functorch/test_ops 3/7 ... [2025-12-04 09:58:26.859907][1546.186844382] 2025-12-04T09:58:26.8602391Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:58:26.8606405Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=3', '--num-shards=7', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:58:26.860367] 2025-12-04T09:58:55.3218837Z 2025-12-04T09:58:55.3219804Z functorch/test_ops 3/7 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_3.7_77ab965b9cf489b2_.log 2025-12-04T09:58:55.3220694Z Running 0 items in this shard: 2025-12-04T09:58:55.3220986Z 2025-12-04T09:58:55.3221303Z Finished functorch/test_ops 3/7 ... [2025-12-04 09:58:55.321676][1574.648612068], took 0.47min 2025-12-04T09:58:55.3270287Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-86e353ae80cd888c.xml 2025-12-04T09:58:55.3948953Z Running test_torchfuzz_repros 1/1 ... [2025-12-04 09:58:55.394635][1574.721572703] 2025-12-04T09:58:55.3949521Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:58:55.3953221Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_torchfuzz_repros.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:58:55.395042] 2025-12-04T09:59:00.0025347Z 2025-12-04T09:59:00.0027233Z test_torchfuzz_repros 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torchfuzz_repros_1.1_a3a95fd5a1f16a1d_.log 2025-12-04T09:59:00.0028969Z Running 0 items in this shard: 2025-12-04T09:59:00.0029384Z 2025-12-04T09:59:00.0030004Z Finished test_torchfuzz_repros 1/1 ... [2025-12-04 09:59:00.002344][1579.32928056], took 0.08min 2025-12-04T09:59:00.0081345Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-cd7d05728fe132d4.xml 2025-12-04T09:59:00.0364050Z Running inductor/test_group_batch_fusion 1/1 ... [2025-12-04 09:59:00.036146][1579.363084359] 2025-12-04T09:59:00.0365074Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:59:00.0369687Z 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 09:59:00.036570] 2025-12-04T09:59:09.5498749Z 2025-12-04T09:59:09.5499862Z 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_a60bb32f3faf207b_.log 2025-12-04T09:59:09.5500965Z Running 0 items in this shard: 2025-12-04T09:59:09.5501200Z 2025-12-04T09:59:09.5501592Z Finished inductor/test_group_batch_fusion 1/1 ... [2025-12-04 09:59:09.549683][1588.876619538], took 0.16min 2025-12-04T09:59:09.5552986Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_group_batch_fusion/inductor.test_group_batch_fusion-12ca120be979c201.xml 2025-12-04T09:59:09.6189808Z Running dynamo/test_dynamic_shapes 1/1 ... [2025-12-04 09:59:09.618708][1588.945645092] 2025-12-04T09:59:09.6190386Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:59:09.6193797Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/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 09:59:09.619100] 2025-12-04T09:59:26.8165281Z 2025-12-04T09:59:26.8166462Z dynamo/test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_dynamic_shapes_1.1_d0b1151d5cf14948_.log 2025-12-04T09:59:26.8167438Z Running 0 items in this shard: 2025-12-04T09:59:26.8167702Z 2025-12-04T09:59:26.8168068Z Finished dynamo/test_dynamic_shapes 1/1 ... [2025-12-04 09:59:26.816285][1606.143222013], took 0.29min 2025-12-04T09:59:26.8220122Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_dynamic_shapes/dynamo.test_dynamic_shapes-ffe4199439531121.xml 2025-12-04T09:59:26.8966668Z Running inductor/test_smoke 1/1 ... [2025-12-04 09:59:26.896375][1606.223312008] 2025-12-04T09:59:26.8967226Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:59:26.8970323Z 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 09:59:26.896767] 2025-12-04T09:59:36.2025910Z 2025-12-04T09:59:36.2027186Z inductor/test_smoke 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_smoke_1.1_08681eaaac112c0e_.log 2025-12-04T09:59:36.2028101Z 2025-12-04T09:59:36.2028441Z Finished inductor/test_smoke 1/1 ... [2025-12-04 09:59:36.202386][1615.529322177], took 0.16min 2025-12-04T09:59:36.2085291Z Running inductor/test_inductor_freezing 1/1 ... [2025-12-04 09:59:36.208341][1615.535279667] 2025-12-04T09:59:36.2085900Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:59:36.2089599Z 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 09:59:36.208700] 2025-12-04T09:59:47.9070986Z 2025-12-04T09:59:47.9072068Z 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_99f89f9871aa9904_.log 2025-12-04T09:59:47.9073136Z Running 0 items in this shard: 2025-12-04T09:59:47.9073357Z 2025-12-04T09:59:47.9073760Z Finished inductor/test_inductor_freezing 1/1 ... [2025-12-04 09:59:47.906896][1627.233833025], took 0.19min 2025-12-04T09:59:47.9127524Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inductor_freezing/inductor.test_inductor_freezing-6578f1ccd846e15e.xml 2025-12-04T09:59:47.9950202Z Running dynamo/test_unspec 1/1 ... [2025-12-04 09:59:47.994759][1627.321696657] 2025-12-04T09:59:47.9950764Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:59:47.9953982Z 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 09:59:47.995112] 2025-12-04T09:59:55.1393752Z 2025-12-04T09:59:55.1394782Z dynamo/test_unspec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unspec_1.1_3e21cd15d2b461e8_.log 2025-12-04T09:59:55.1395668Z Running 0 items in this shard: 2025-12-04T09:59:55.1395895Z 2025-12-04T09:59:55.1396226Z Finished dynamo/test_unspec 1/1 ... [2025-12-04 09:59:55.139196][1634.466130731], took 0.12min 2025-12-04T09:59:55.1452063Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_unspec/dynamo.test_unspec-0e62ab9be5da98a8.xml 2025-12-04T09:59:55.2039602Z Running dynamo/test_higher_order_ops 1/1 ... [2025-12-04 09:59:55.203678][1634.530614023] 2025-12-04T09:59:55.2040196Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:59:55.2043879Z 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 09:59:55.204093] 2025-12-04T10:00:08.0113623Z 2025-12-04T10:00:08.0114821Z 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_4557e488999df2a6_.log 2025-12-04T10:00:08.0115803Z Running 0 items in this shard: 2025-12-04T10:00:08.0116021Z 2025-12-04T10:00:08.0116385Z Finished dynamo/test_higher_order_ops 1/1 ... [2025-12-04 10:00:08.011164][1647.338098945], took 0.21min 2025-12-04T10:00:08.0174736Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_higher_order_ops/dynamo.test_higher_order_ops-9beaaf1137744825.xml 2025-12-04T10:00:08.0959109Z Running inductor/test_mmdecomp 1/1 ... [2025-12-04 10:00:08.095583][1647.422520586] 2025-12-04T10:00:08.0961025Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:08.0963660Z 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 10:00:08.096037] 2025-12-04T10:00:19.5847781Z 2025-12-04T10:00:19.5848788Z inductor/test_mmdecomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mmdecomp_1.1_e7f9fc7494bda59c_.log 2025-12-04T10:00:19.5849726Z Running 0 items in this shard: 2025-12-04T10:00:19.5849942Z 2025-12-04T10:00:19.5850280Z Finished inductor/test_mmdecomp 1/1 ... [2025-12-04 10:00:19.584553][1658.911489569], took 0.19min 2025-12-04T10:00:19.5908804Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mmdecomp/inductor.test_mmdecomp-e6d07eb5a617d7c2.xml 2025-12-04T10:00:19.6602373Z Running dynamo/test_ctx_manager 1/1 ... [2025-12-04 10:00:19.659898][1658.986833263] 2025-12-04T10:00:19.6602992Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:19.6606408Z 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 10:00:19.660355] 2025-12-04T10:00:29.3678233Z 2025-12-04T10:00:29.3679245Z 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_4776d2bf6bd36ed0_.log 2025-12-04T10:00:29.3680188Z Running 0 items in this shard: 2025-12-04T10:00:29.3680423Z 2025-12-04T10:00:29.3680756Z Finished dynamo/test_ctx_manager 1/1 ... [2025-12-04 10:00:29.367623][1668.69455814], took 0.16min 2025-12-04T10:00:29.3741882Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_ctx_manager/dynamo.test_ctx_manager-f6fe982a637c8e44.xml 2025-12-04T10:00:29.4434761Z Running dynamo/test_exc 1/1 ... [2025-12-04 10:00:29.443162][1668.770097187] 2025-12-04T10:00:29.4435298Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:29.4438867Z 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 10:00:29.443608] 2025-12-04T10:00:34.5352005Z 2025-12-04T10:00:34.5352969Z dynamo/test_exc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exc_1.1_937f6e3b26f570d6_.log 2025-12-04T10:00:34.5353817Z Running 0 items in this shard: 2025-12-04T10:00:34.5354047Z 2025-12-04T10:00:34.5354349Z Finished dynamo/test_exc 1/1 ... [2025-12-04 10:00:34.535039][1673.861974671], took 0.08min 2025-12-04T10:00:34.5415852Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_exc/dynamo.test_exc-8dd8ca113868a102.xml 2025-12-04T10:00:34.5718120Z Running dynamo/test_misc 1/1 ... [2025-12-04 10:00:34.571554][1673.898490857] 2025-12-04T10:00:34.5718645Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:34.5722693Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_misc.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:00:34.571976] 2025-12-04T10:00:44.5480731Z 2025-12-04T10:00:44.5481755Z dynamo/test_misc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_misc_1.1_523cd55bb87731ea_.log 2025-12-04T10:00:44.5482613Z Running 0 items in this shard: 2025-12-04T10:00:44.5482847Z 2025-12-04T10:00:44.5483150Z Finished dynamo/test_misc 1/1 ... [2025-12-04 10:00:44.547863][1683.874799807], took 0.17min 2025-12-04T10:00:44.5547258Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_misc/dynamo.test_misc-8c6a1eaef4cf2f13.xml 2025-12-04T10:00:44.6244437Z Running inductor/test_aot_inductor_arrayref 1/2 ... [2025-12-04 10:00:44.624065][1683.951000405] 2025-12-04T10:00:44.6245078Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:44.6248531Z 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 10:00:44.624540] 2025-12-04T10:00:57.2695781Z 2025-12-04T10:00:57.2696949Z 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_20f5c11cf978493f_.log 2025-12-04T10:00:57.2698062Z Running 0 items in this shard: 2025-12-04T10:00:57.2698289Z 2025-12-04T10:00:57.2698702Z Finished inductor/test_aot_inductor_arrayref 1/2 ... [2025-12-04 10:00:57.269374][1696.596309594], took 0.21min 2025-12-04T10:00:57.2764116Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor_arrayref/inductor.test_aot_inductor_arrayref-58c19fa5ea9de222.xml 2025-12-04T10:00:57.3649243Z Running inductor/test_halide 1/1 ... [2025-12-04 10:00:57.364591][1696.691526972] 2025-12-04T10:00:57.3649812Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:57.3653676Z 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 10:00:57.365047] 2025-12-04T10:01:09.1009784Z 2025-12-04T10:01:09.1010858Z inductor/test_halide 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_halide_1.1_e05852b21a62a631_.log 2025-12-04T10:01:09.1011633Z 2025-12-04T10:01:09.1011963Z Finished inductor/test_halide 1/1 ... [2025-12-04 10:01:09.100739][1708.427672975], took 0.20min 2025-12-04T10:01:09.1082069Z Running inductor/test_xpu_basic 1/1 ... [2025-12-04 10:01:09.107978][1708.434917154] 2025-12-04T10:01:09.1082680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:09.1086811Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_xpu_basic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:09.108382] 2025-12-04T10:01:20.8124819Z 2025-12-04T10:01:20.8125886Z inductor/test_xpu_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_xpu_basic_1.1_51c17c2150cd2377_.log 2025-12-04T10:01:20.8126710Z 2025-12-04T10:01:20.8127052Z Finished inductor/test_xpu_basic 1/1 ... [2025-12-04 10:01:20.812260][1720.139192565], took 0.20min 2025-12-04T10:01:20.8196741Z Running export/test_tree_utils 1/1 ... [2025-12-04 10:01:20.819419][1720.146357329] 2025-12-04T10:01:20.8197312Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:20.8201314Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_tree_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:20.819841] 2025-12-04T10:01:25.3925606Z 2025-12-04T10:01:25.3926614Z export/test_tree_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_tree_utils_1.1_4299a14014703a72_.log 2025-12-04T10:01:25.3927522Z Running 0 items in this shard: 2025-12-04T10:01:25.3928071Z 2025-12-04T10:01:25.3928524Z Finished export/test_tree_utils 1/1 ... [2025-12-04 10:01:25.392373][1724.719308787], took 0.08min 2025-12-04T10:01:25.3993195Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_tree_utils/export.test_tree_utils-165756193194c948.xml 2025-12-04T10:01:25.4692311Z Running inductor/test_triton_wrapper 1/1 ... [2025-12-04 10:01:25.468912][1724.795846144] 2025-12-04T10:01:25.4692917Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:25.4696530Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_wrapper.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:25.469370] 2025-12-04T10:01:35.0761125Z 2025-12-04T10:01:35.0762259Z inductor/test_triton_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_wrapper_1.1_e86b6c8e366219be_.log 2025-12-04T10:01:35.0763269Z Running 0 items in this shard: 2025-12-04T10:01:35.0763485Z 2025-12-04T10:01:35.0763868Z Finished inductor/test_triton_wrapper 1/1 ... [2025-12-04 10:01:35.075920][1734.402853862], took 0.16min 2025-12-04T10:01:35.0831568Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_triton_wrapper/inductor.test_triton_wrapper-5f7a0f8336695fb9.xml 2025-12-04T10:01:35.1579267Z Running inductor/test_static_cuda_launcher 1/1 ... [2025-12-04 10:01:35.157618][1734.484554427] 2025-12-04T10:01:35.1579914Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:35.1583278Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_static_cuda_launcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:35.158028] 2025-12-04T10:01:44.7289821Z 2025-12-04T10:01:44.7290960Z inductor/test_static_cuda_launcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_static_cuda_launcher_1.1_bb64ee8d4f210476_.log 2025-12-04T10:01:44.7292778Z Running 0 items in this shard: 2025-12-04T10:01:44.7293073Z 2025-12-04T10:01:44.7293486Z Finished inductor/test_static_cuda_launcher 1/1 ... [2025-12-04 10:01:44.728823][1744.055756377], took 0.16min 2025-12-04T10:01:44.7362052Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_static_cuda_launcher/inductor.test_static_cuda_launcher-2d21f1747fde8250.xml 2025-12-04T10:01:44.8002670Z Running export/test_dynamic_shapes 1/1 ... [2025-12-04 10:01:44.799934][1744.12687001] 2025-12-04T10:01:44.8003253Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:44.8006625Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_dynamic_shapes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:44.800363] 2025-12-04T10:01:49.5012575Z 2025-12-04T10:01:49.5013640Z export/test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_dynamic_shapes_1.1_bcfdbc36147fe032_.log 2025-12-04T10:01:49.5014616Z Running 0 items in this shard: 2025-12-04T10:01:49.5014848Z 2025-12-04T10:01:49.5015202Z Finished export/test_dynamic_shapes 1/1 ... [2025-12-04 10:01:49.501057][1748.827991443], took 0.08min 2025-12-04T10:01:49.5085780Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_dynamic_shapes/export.test_dynamic_shapes-ce803e48667dc0d6.xml 2025-12-04T10:01:49.5318368Z Running dynamo/test_sdpa 1/1 ... [2025-12-04 10:01:49.531633][1748.85856972] 2025-12-04T10:01:49.5319298Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:49.5323038Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_sdpa.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:49.532026] 2025-12-04T10:01:54.5487308Z 2025-12-04T10:01:54.5488267Z dynamo/test_sdpa 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sdpa_1.1_fcc365d4c4907b44_.log 2025-12-04T10:01:54.5489137Z Running 0 items in this shard: 2025-12-04T10:01:54.5489355Z 2025-12-04T10:01:54.5489671Z Finished dynamo/test_sdpa 1/1 ... [2025-12-04 10:01:54.548525][1753.875461503], took 0.08min 2025-12-04T10:01:54.5561405Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_sdpa/dynamo.test_sdpa-36dfdc0cb72f9a47.xml 2025-12-04T10:01:54.5824570Z Running dynamo/test_utils 1/1 ... [2025-12-04 10:01:54.582210][1753.909146347] 2025-12-04T10:01:54.5825111Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:54.5828706Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:54.582598] 2025-12-04T10:01:59.2253849Z 2025-12-04T10:01:59.2254820Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_1482257d8e959016_.log 2025-12-04T10:01:59.2255664Z Running 0 items in this shard: 2025-12-04T10:01:59.2255899Z 2025-12-04T10:01:59.2256209Z Finished dynamo/test_utils 1/1 ... [2025-12-04 10:01:59.225209][1758.552145545], took 0.08min 2025-12-04T10:01:59.2328325Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_utils/dynamo.test_utils-d02bc9d37c6745bc.xml 2025-12-04T10:01:59.2583444Z Running inductor/test_provenance_tracing 1/1 ... [2025-12-04 10:01:59.258116][1758.585054382] 2025-12-04T10:01:59.2584071Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:01:59.2587576Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_provenance_tracing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:01:59.258497] 2025-12-04T10:02:10.9356544Z 2025-12-04T10:02:10.9357708Z inductor/test_provenance_tracing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_provenance_tracing_1.1_e36af4efe72b3e21_.log 2025-12-04T10:02:10.9358738Z Running 0 items in this shard: 2025-12-04T10:02:10.9358971Z 2025-12-04T10:02:10.9359411Z Finished inductor/test_provenance_tracing 1/1 ... [2025-12-04 10:02:10.935441][1770.262377197], took 0.19min 2025-12-04T10:02:10.9433621Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_provenance_tracing/inductor.test_provenance_tracing-f6513dab134860db.xml 2025-12-04T10:02:11.0321062Z Running inductor/test_combo_kernels 1/1 ... [2025-12-04 10:02:11.031869][1770.358806793] 2025-12-04T10:02:11.0321655Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:11.0325068Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_combo_kernels.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:11.032231] 2025-12-04T10:02:22.7480112Z 2025-12-04T10:02:22.7481465Z inductor/test_combo_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_combo_kernels_1.1_472c99de688df439_.log 2025-12-04T10:02:22.7482579Z Running 0 items in this shard: 2025-12-04T10:02:22.7482811Z 2025-12-04T10:02:22.7483173Z Finished inductor/test_combo_kernels 1/1 ... [2025-12-04 10:02:22.747809][1782.074744015], took 0.20min 2025-12-04T10:02:22.7561958Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_combo_kernels/inductor.test_combo_kernels-b87076b1e99da65a.xml 2025-12-04T10:02:22.8325768Z Running inductor/test_codegen_triton 1/1 ... [2025-12-04 10:02:22.832266][1782.159203067] 2025-12-04T10:02:22.8326380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:22.8329653Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_codegen_triton.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:22.832668] 2025-12-04T10:02:32.2629598Z 2025-12-04T10:02:32.2630836Z inductor/test_codegen_triton 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_codegen_triton_1.1_e949fa6ccb8a2a12_.log 2025-12-04T10:02:32.2631837Z Running 0 items in this shard: 2025-12-04T10:02:32.2632069Z 2025-12-04T10:02:32.2632434Z Finished inductor/test_codegen_triton 1/1 ... [2025-12-04 10:02:32.262748][1791.589684418], took 0.16min 2025-12-04T10:02:32.2709924Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_codegen_triton/inductor.test_codegen_triton-4e16f4037f5cbd0a.xml 2025-12-04T10:02:32.3434946Z Running dynamo/test_frame_init 1/1 ... [2025-12-04 10:02:32.343230][1791.670166901] 2025-12-04T10:02:32.3435520Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:32.3438807Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_frame_init.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:32.343614] 2025-12-04T10:02:36.9240849Z 2025-12-04T10:02:36.9241719Z dynamo/test_frame_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_frame_init_1.1_9c7657ff92a02e1b_.log 2025-12-04T10:02:36.9242628Z Running 0 items in this shard: 2025-12-04T10:02:36.9242859Z 2025-12-04T10:02:36.9243189Z Finished dynamo/test_frame_init 1/1 ... [2025-12-04 10:02:36.923892][1796.250827634], took 0.08min 2025-12-04T10:02:36.9320828Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_frame_init/dynamo.test_frame_init-5868cb26e1fb3b42.xml 2025-12-04T10:02:36.9596231Z Running inductor/test_device_assert 1/1 ... [2025-12-04 10:02:36.959382][1796.286319436] 2025-12-04T10:02:36.9596827Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:36.9600167Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_device_assert.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:36.959766] 2025-12-04T10:02:46.6682034Z 2025-12-04T10:02:46.6683190Z inductor/test_device_assert 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_device_assert_1.1_6c67356a1779335c_.log 2025-12-04T10:02:46.6684154Z Running 0 items in this shard: 2025-12-04T10:02:46.6684386Z 2025-12-04T10:02:46.6684750Z Finished inductor/test_device_assert 1/1 ... [2025-12-04 10:02:46.668002][1805.99493816], took 0.16min 2025-12-04T10:02:46.6765450Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_device_assert/inductor.test_device_assert-59ac924c56d81a00.xml 2025-12-04T10:02:46.7561788Z Running dynamo/test_skip_non_tensor 1/1 ... [2025-12-04 10:02:46.755876][1806.082811863] 2025-12-04T10:02:46.7562394Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:46.7565404Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_skip_non_tensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:46.756258] 2025-12-04T10:02:51.9123642Z 2025-12-04T10:02:51.9124675Z dynamo/test_skip_non_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_skip_non_tensor_1.1_514d2d44cc13296a_.log 2025-12-04T10:02:51.9125647Z Running 0 items in this shard: 2025-12-04T10:02:51.9125881Z 2025-12-04T10:02:51.9126238Z Finished dynamo/test_skip_non_tensor 1/1 ... [2025-12-04 10:02:51.912178][1811.239114263], took 0.09min 2025-12-04T10:02:51.9207006Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_skip_non_tensor/dynamo.test_skip_non_tensor-e468db05056a25c0.xml 2025-12-04T10:02:51.9465005Z Running dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 10:02:51.946302][1811.273240523] 2025-12-04T10:02:51.9465608Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:51.9468958Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_skip_guard_eval_unsafe.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:51.946656] 2025-12-04T10:02:56.8263212Z 2025-12-04T10:02:56.8264365Z dynamo/test_skip_guard_eval_unsafe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_skip_guard_eval_unsafe_1.1_6daebe38bff8ecdd_.log 2025-12-04T10:02:56.8265424Z Running 0 items in this shard: 2025-12-04T10:02:56.8265672Z 2025-12-04T10:02:56.8266091Z Finished dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 10:02:56.826111][1816.153045955], took 0.08min 2025-12-04T10:02:56.8350217Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_skip_guard_eval_unsafe/dynamo.test_skip_guard_eval_unsafe-f76c3a93a03d78ee.xml 2025-12-04T10:02:56.8622242Z Running dynamo/test_interop 1/1 ... [2025-12-04 10:02:56.862002][1816.188939162] 2025-12-04T10:02:56.8622804Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:02:56.8626280Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_interop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:02:56.862371] 2025-12-04T10:03:01.7395863Z 2025-12-04T10:03:01.7396892Z dynamo/test_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_interop_1.1_40fb169adf4a9b2f_.log 2025-12-04T10:03:01.7397811Z Running 0 items in this shard: 2025-12-04T10:03:01.7398043Z 2025-12-04T10:03:01.7398362Z Finished dynamo/test_interop 1/1 ... [2025-12-04 10:03:01.739421][1821.06635609], took 0.08min 2025-12-04T10:03:01.7483921Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_interop/dynamo.test_interop-e67a8b34967f8ffb.xml 2025-12-04T10:03:01.7741913Z Running functorch/test_eager_transforms 1/1 ... [2025-12-04 10:03:01.774001][1821.100939711] 2025-12-04T10:03:01.7742515Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:01.7746421Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_eager_transforms.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:01.774354] 2025-12-04T10:03:10.8130878Z 2025-12-04T10:03:10.8132001Z functorch/test_eager_transforms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_eager_transforms_1.1_d505c0fde11ee1e2_.log 2025-12-04T10:03:10.8133015Z Running 0 items in this shard: 2025-12-04T10:03:10.8133250Z 2025-12-04T10:03:10.8133638Z Finished functorch/test_eager_transforms 1/1 ... [2025-12-04 10:03:10.812856][1830.139792591], took 0.15min 2025-12-04T10:03:10.8220827Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_eager_transforms/functorch.test_eager_transforms-486a891fcd5cb61e.xml 2025-12-04T10:03:10.8955704Z Running inductor/test_control_deps 1/1 ... [2025-12-04 10:03:10.895265][1830.222201846] 2025-12-04T10:03:10.8956286Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:10.8959607Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_control_deps.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:10.895692] 2025-12-04T10:03:20.3784376Z 2025-12-04T10:03:20.3785475Z inductor/test_control_deps 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_deps_1.1_bf993685c48309db_.log 2025-12-04T10:03:20.3786453Z Running 0 items in this shard: 2025-12-04T10:03:20.3786695Z 2025-12-04T10:03:20.3787052Z Finished inductor/test_control_deps 1/1 ... [2025-12-04 10:03:20.378244][1839.705179749], took 0.16min 2025-12-04T10:03:20.3881355Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_control_deps/inductor.test_control_deps-f06d3f55cdcff287.xml 2025-12-04T10:03:20.4600427Z Running inductor/test_benchmarking 1/1 ... [2025-12-04 10:03:20.459823][1839.786760493] 2025-12-04T10:03:20.4601060Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:20.4604597Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_benchmarking.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:20.460201] 2025-12-04T10:03:29.9560860Z 2025-12-04T10:03:29.9561971Z inductor/test_benchmarking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmarking_1.1_bd165b3f67c072e2_.log 2025-12-04T10:03:29.9562940Z Running 0 items in this shard: 2025-12-04T10:03:29.9563174Z 2025-12-04T10:03:29.9563538Z Finished inductor/test_benchmarking 1/1 ... [2025-12-04 10:03:29.955909][1849.282844204], took 0.16min 2025-12-04T10:03:29.9658604Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_benchmarking/inductor.test_benchmarking-5ea5ff6a120c056d.xml 2025-12-04T10:03:30.0466696Z Running inductor/test_helion_kernels 1/1 ... [2025-12-04 10:03:30.046304][1849.373239329] 2025-12-04T10:03:30.0467303Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:30.0470191Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_helion_kernels.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:30.046743] 2025-12-04T10:03:39.6172703Z 2025-12-04T10:03:39.6173759Z inductor/test_helion_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_helion_kernels_1.1_eea405b7844ef6e4_.log 2025-12-04T10:03:39.6174761Z Running 0 items in this shard: 2025-12-04T10:03:39.6174981Z 2025-12-04T10:03:39.6175348Z Finished inductor/test_helion_kernels 1/1 ... [2025-12-04 10:03:39.617069][1858.944002665], took 0.16min 2025-12-04T10:03:39.6265996Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_helion_kernels/inductor.test_helion_kernels-ab9efb1b1244382f.xml 2025-12-04T10:03:39.6974555Z Running inductor/test_quantization 1/1 ... [2025-12-04 10:03:39.697190][1859.024127944] 2025-12-04T10:03:39.6975177Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:39.6978467Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_quantization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:39.697567] 2025-12-04T10:03:49.1989687Z 2025-12-04T10:03:49.1990741Z inductor/test_quantization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_quantization_1.1_1de7b6f511e3bb1c_.log 2025-12-04T10:03:49.1991720Z Running 0 items in this shard: 2025-12-04T10:03:49.1991982Z 2025-12-04T10:03:49.1992359Z Finished inductor/test_quantization 1/1 ... [2025-12-04 10:03:49.198802][1868.525738715], took 0.16min 2025-12-04T10:03:49.2084383Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_quantization/inductor.test_quantization-05d88b99c54955ad.xml 2025-12-04T10:03:49.2857807Z Running inductor/test_best_config 1/1 ... [2025-12-04 10:03:49.285531][1868.612468823] 2025-12-04T10:03:49.2858396Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:49.2861593Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_best_config.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:49.285885] 2025-12-04T10:03:58.7679895Z 2025-12-04T10:03:58.7681124Z inductor/test_best_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_best_config_1.1_17663de13e195606_.log 2025-12-04T10:03:58.7682173Z Running 0 items in this shard: 2025-12-04T10:03:58.7682461Z 2025-12-04T10:03:58.7682825Z Finished inductor/test_best_config 1/1 ... [2025-12-04 10:03:58.767803][1878.094737999], took 0.16min 2025-12-04T10:03:58.7782008Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_best_config/inductor.test_best_config-b4d0da6c1239d324.xml 2025-12-04T10:03:58.8482467Z Running export/test_tools 1/1 ... [2025-12-04 10:03:58.848022][1878.174960235] 2025-12-04T10:03:58.8483034Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:03:58.8486628Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_tools.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:03:58.848397] 2025-12-04T10:04:03.9467751Z 2025-12-04T10:04:03.9469051Z export/test_tools 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_tools_1.1_26cad709a9ab91c6_.log 2025-12-04T10:04:03.9469921Z Running 0 items in this shard: 2025-12-04T10:04:03.9470140Z 2025-12-04T10:04:03.9470457Z Finished export/test_tools 1/1 ... [2025-12-04 10:04:03.946618][1883.273554913], took 0.08min 2025-12-04T10:04:03.9567008Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_tools/export.test_tools-8d5cd8395c637a8e.xml 2025-12-04T10:04:04.0027780Z Running inductor/test_compiled_optimizers 1/3 ... [2025-12-04 10:04:04.002435][1883.329371311] 2025-12-04T10:04:04.0028559Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:04.0032800Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compiled_optimizers.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 10:04:04.002887] 2025-12-04T10:04:18.9551229Z 2025-12-04T10:04:18.9552406Z inductor/test_compiled_optimizers 1/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_optimizers_1.3_a2a03ba87248f1fc_.log 2025-12-04T10:04:18.9553459Z Running 0 items in this shard: 2025-12-04T10:04:18.9553705Z 2025-12-04T10:04:18.9554103Z Finished inductor/test_compiled_optimizers 1/3 ... [2025-12-04 10:04:18.954911][1898.281845893], took 0.25min 2025-12-04T10:04:18.9652653Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compiled_optimizers/inductor.test_compiled_optimizers-5a4b92332b3b3307.xml 2025-12-04T10:04:19.0323000Z Running inductor/test_control_flow 3/4 ... [2025-12-04 10:04:19.032006][1898.358941445] 2025-12-04T10:04:19.0323582Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:19.0327300Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_control_flow.py', '-m', 'serial', '--shard-id=3', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:19.032435] 2025-12-04T10:04:30.4643313Z 2025-12-04T10:04:30.4644392Z inductor/test_control_flow 3/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_flow_3.4_f8a917637d2e9090_.log 2025-12-04T10:04:30.4645360Z Running 0 items in this shard: 2025-12-04T10:04:30.4645578Z 2025-12-04T10:04:30.4645950Z Finished inductor/test_control_flow 3/4 ... [2025-12-04 10:04:30.464101][1909.791035961], took 0.19min 2025-12-04T10:04:30.4746785Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_control_flow/inductor.test_control_flow-63563315e6123205.xml 2025-12-04T10:04:30.5605711Z Running inductor/test_needs_exact_strides 1/1 ... [2025-12-04 10:04:30.560252][1909.887188602] 2025-12-04T10:04:30.5606352Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:30.5610132Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_needs_exact_strides.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:30.560721] 2025-12-04T10:04:40.6423730Z 2025-12-04T10:04:40.6425514Z inductor/test_needs_exact_strides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_needs_exact_strides_1.1_15e881125edb2e33_.log 2025-12-04T10:04:40.6427514Z Running 0 items in this shard: 2025-12-04T10:04:40.6427919Z 2025-12-04T10:04:40.6428660Z Finished inductor/test_needs_exact_strides 1/1 ... [2025-12-04 10:04:40.642204][1919.969139857], took 0.17min 2025-12-04T10:04:40.6529495Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_needs_exact_strides/inductor.test_needs_exact_strides-9447fe2a52eeab9b.xml 2025-12-04T10:04:40.7431461Z Running inductor/test_auto_functionalize 1/1 ... [2025-12-04 10:04:40.742793][1920.069729993] 2025-12-04T10:04:40.7432506Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:40.7436761Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_auto_functionalize.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:40.743255] 2025-12-04T10:04:45.7789084Z 2025-12-04T10:04:45.7790881Z inductor/test_auto_functionalize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_auto_functionalize_1.1_28ec9bcce58c5751_.log 2025-12-04T10:04:45.7793413Z Running 0 items in this shard: 2025-12-04T10:04:45.7793825Z 2025-12-04T10:04:45.7794581Z Finished inductor/test_auto_functionalize 1/1 ... [2025-12-04 10:04:45.778707][1925.105643267], took 0.08min 2025-12-04T10:04:45.7896576Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_auto_functionalize/inductor.test_auto_functionalize-92ffc4223bc96ec2.xml 2025-12-04T10:04:45.8150042Z Running inductor/test_split_cat_fx_aten_passes 1/1 ... [2025-12-04 10:04:45.814723][1925.141661307] 2025-12-04T10:04:45.8151080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:45.8155590Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_split_cat_fx_aten_passes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:45.815154] 2025-12-04T10:04:55.3129163Z 2025-12-04T10:04:55.3130395Z inductor/test_split_cat_fx_aten_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_split_cat_fx_aten_passes_1.1_adf73fe5a54f3c1a_.log 2025-12-04T10:04:55.3131642Z Running 0 items in this shard: 2025-12-04T10:04:55.3131859Z 2025-12-04T10:04:55.3132282Z Finished inductor/test_split_cat_fx_aten_passes 1/1 ... [2025-12-04 10:04:55.312720][1934.639655831], took 0.16min 2025-12-04T10:04:55.3235243Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_split_cat_fx_aten_passes/inductor.test_split_cat_fx_aten_passes-ce30100a4498dd97.xml 2025-12-04T10:04:55.4012002Z Running inductor/test_minifier_isolate 1/1 ... [2025-12-04 10:04:55.400940][1934.72787773] 2025-12-04T10:04:55.4012622Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:04:55.4015742Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_minifier_isolate.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:04:55.401299] 2025-12-04T10:05:04.9337280Z 2025-12-04T10:05:04.9338409Z inductor/test_minifier_isolate 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_isolate_1.1_6afcdc62bf1ab9d6_.log 2025-12-04T10:05:04.9340240Z Running 0 items in this shard: 2025-12-04T10:05:04.9340536Z 2025-12-04T10:05:04.9341001Z Finished inductor/test_minifier_isolate 1/1 ... [2025-12-04 10:05:04.933528][1944.260464681], took 0.16min 2025-12-04T10:05:04.9445623Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_minifier_isolate/inductor.test_minifier_isolate-8ce3be47c3ce62e3.xml 2025-12-04T10:05:05.0154633Z Running dynamo/test_python_dispatcher 1/1 ... [2025-12-04 10:05:05.015164][1944.342100254] 2025-12-04T10:05:05.0155293Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:05.0170238Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_python_dispatcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:05.015542] 2025-12-04T10:05:10.2290426Z 2025-12-04T10:05:10.2291532Z dynamo/test_python_dispatcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_dispatcher_1.1_4c3cc07b8e0f2c19_.log 2025-12-04T10:05:10.2292538Z Running 0 items in this shard: 2025-12-04T10:05:10.2292754Z 2025-12-04T10:05:10.2293130Z Finished dynamo/test_python_dispatcher 1/1 ... [2025-12-04 10:05:10.228869][1949.555803355], took 0.09min 2025-12-04T10:05:10.2398270Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_python_dispatcher/dynamo.test_python_dispatcher-85abf80e4a2b4bc8.xml 2025-12-04T10:05:10.2687995Z Running export/test_swap 1/1 ... [2025-12-04 10:05:10.268605][1949.59554416] 2025-12-04T10:05:10.2688531Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:10.2692118Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_swap.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:10.268965] 2025-12-04T10:05:15.0177733Z 2025-12-04T10:05:15.0178676Z export/test_swap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_swap_1.1_a0f531bd71e4bb26_.log 2025-12-04T10:05:15.0179540Z Running 0 items in this shard: 2025-12-04T10:05:15.0179759Z 2025-12-04T10:05:15.0180078Z Finished export/test_swap 1/1 ... [2025-12-04 10:05:15.017570][1954.344506298], took 0.08min 2025-12-04T10:05:15.0287239Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_swap/export.test_swap-371b4675ed427cae.xml 2025-12-04T10:05:15.0558653Z Running export/test_unflatten 1/1 ... [2025-12-04 10:05:15.055638][1954.382575657] 2025-12-04T10:05:15.0559230Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:15.0562861Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_unflatten.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:15.056027] 2025-12-04T10:05:19.7759743Z 2025-12-04T10:05:19.7760717Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_6e383d8e3e6d67ca_.log 2025-12-04T10:05:19.7761638Z Running 0 items in this shard: 2025-12-04T10:05:19.7761856Z 2025-12-04T10:05:19.7762288Z Finished export/test_unflatten 1/1 ... [2025-12-04 10:05:19.775772][1959.102708626], took 0.08min 2025-12-04T10:05:19.7869418Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_unflatten/export.test_unflatten-beb6ca2b1d292d28.xml 2025-12-04T10:05:19.8138650Z Running dynamo/test_verify_correctness 1/1 ... [2025-12-04 10:05:19.813662][1959.140599819] 2025-12-04T10:05:19.8139263Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:19.8143024Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_verify_correctness.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:19.814034] 2025-12-04T10:05:24.9174710Z 2025-12-04T10:05:24.9175828Z dynamo/test_verify_correctness 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_verify_correctness_1.1_c632ea71ec306a35_.log 2025-12-04T10:05:24.9176846Z Running 0 items in this shard: 2025-12-04T10:05:24.9177075Z 2025-12-04T10:05:24.9177463Z Finished dynamo/test_verify_correctness 1/1 ... [2025-12-04 10:05:24.917264][1964.244199634], took 0.09min 2025-12-04T10:05:24.9287662Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_verify_correctness/dynamo.test_verify_correctness-befb8974db403127.xml 2025-12-04T10:05:24.9612282Z Running inductor/test_fxir_backend 1/1 ... [2025-12-04 10:05:24.960951][1964.287886861] 2025-12-04T10:05:24.9612938Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:24.9616340Z 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 10:05:24.961349] 2025-12-04T10:05:34.9594345Z 2025-12-04T10:05:34.9595392Z 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_2b6ed7544c8fb6fc_.log 2025-12-04T10:05:34.9596350Z Running 0 items in this shard: 2025-12-04T10:05:34.9596582Z 2025-12-04T10:05:34.9596933Z Finished inductor/test_fxir_backend 1/1 ... [2025-12-04 10:05:34.959197][1974.286131629], took 0.17min 2025-12-04T10:05:34.9709731Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_fxir_backend/inductor.test_fxir_backend-a889fe3c9dce2798.xml 2025-12-04T10:05:35.0401513Z Running dynamo/test_aot_autograd_cache 1/1 ... [2025-12-04 10:05:35.039831][1974.36676675] 2025-12-04T10:05:35.0402121Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:35.0405487Z 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 10:05:35.040256] 2025-12-04T10:05:45.0433505Z 2025-12-04T10:05:45.0434613Z 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_7fb2eea036ae6ee5_.log 2025-12-04T10:05:45.0435604Z Running 0 items in this shard: 2025-12-04T10:05:45.0435846Z 2025-12-04T10:05:45.0436220Z Finished dynamo/test_aot_autograd_cache 1/1 ... [2025-12-04 10:05:45.043164][1984.370100419], took 0.17min 2025-12-04T10:05:45.0550386Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_aot_autograd_cache/dynamo.test_aot_autograd_cache-8c84af4c1deebe9d.xml 2025-12-04T10:05:45.1254058Z Running inductor/test_mps_basic 1/1 ... [2025-12-04 10:05:45.125083][1984.452019188] 2025-12-04T10:05:45.1254630Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:45.1257736Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mps_basic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:45.125512] 2025-12-04T10:05:56.8009301Z 2025-12-04T10:05:56.8010387Z inductor/test_mps_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mps_basic_1.1_1ce3d2728d00e196_.log 2025-12-04T10:05:56.8011199Z 2025-12-04T10:05:56.8011544Z Finished inductor/test_mps_basic 1/1 ... [2025-12-04 10:05:56.800709][1996.127646872], took 0.19min 2025-12-04T10:05:56.8130275Z Running test_proxy_tensor 1/1 ... [2025-12-04 10:05:56.812825][1996.139764338] 2025-12-04T10:05:56.8130927Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:05:56.8134940Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_proxy_tensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:05:56.813215] 2025-12-04T10:06:03.8844641Z 2025-12-04T10:06:03.8845751Z test_proxy_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_proxy_tensor_1.1_c520d84f019cc45e_.log 2025-12-04T10:06:03.8846681Z Running 0 items in this shard: 2025-12-04T10:06:03.8846912Z 2025-12-04T10:06:03.8847222Z Finished test_proxy_tensor 1/1 ... [2025-12-04 10:06:03.884285][2003.211219028], took 0.12min 2025-12-04T10:06:03.8965093Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_proxy_tensor/test_proxy_tensor-ff1d155d93a3fd34.xml 2025-12-04T10:06:03.9753912Z Running torch_np/test_binary_ufuncs 1/1 ... [2025-12-04 10:06:03.975160][2003.302098207] 2025-12-04T10:06:03.9754478Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:03.9758030Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_binary_ufuncs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:03.975537] 2025-12-04T10:06:08.6630087Z 2025-12-04T10:06:08.6631270Z torch_np/test_binary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_binary_ufuncs_1.1_2fed9d68a1a35280_.log 2025-12-04T10:06:08.6632307Z Running 0 items in this shard: 2025-12-04T10:06:08.6632526Z 2025-12-04T10:06:08.6632876Z Finished torch_np/test_binary_ufuncs 1/1 ... [2025-12-04 10:06:08.662830][2007.989764926], took 0.08min 2025-12-04T10:06:08.6750954Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_binary_ufuncs/torch_np.test_binary_ufuncs-290c51a4accd3b82.xml 2025-12-04T10:06:08.7004607Z Running torch_np/test_unary_ufuncs 1/1 ... [2025-12-04 10:06:08.700269][2008.027207934] 2025-12-04T10:06:08.7005177Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:08.7008764Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_unary_ufuncs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:08.700626] 2025-12-04T10:06:13.2941290Z 2025-12-04T10:06:13.2942386Z torch_np/test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_unary_ufuncs_1.1_38b70079cff9ccfa_.log 2025-12-04T10:06:13.2943323Z Running 0 items in this shard: 2025-12-04T10:06:13.2943561Z 2025-12-04T10:06:13.2943921Z Finished torch_np/test_unary_ufuncs 1/1 ... [2025-12-04 10:06:13.293952][2012.620888833], took 0.08min 2025-12-04T10:06:13.3062862Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_unary_ufuncs/torch_np.test_unary_ufuncs-fc749b1a7958228f.xml 2025-12-04T10:06:13.3346985Z Running test_utils_filelock 1/1 ... [2025-12-04 10:06:13.334490][2012.661428573] 2025-12-04T10:06:13.3347530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:13.3351757Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_utils_filelock.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:13.334905] 2025-12-04T10:06:18.0444828Z 2025-12-04T10:06:18.0445799Z test_utils_filelock 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_filelock_1.1_5d5ccda73aebe204_.log 2025-12-04T10:06:18.0446688Z Running 0 items in this shard: 2025-12-04T10:06:18.0446932Z 2025-12-04T10:06:18.0447261Z Finished test_utils_filelock 1/1 ... [2025-12-04 10:06:18.044311][2017.37124726], took 0.08min 2025-12-04T10:06:18.0567493Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils_filelock/test_utils_filelock-3c4fefb895c16833.xml 2025-12-04T10:06:18.0845598Z Running test_rename_privateuse1_to_existing_device 1/1 ... [2025-12-04 10:06:18.084342][2017.411281104] 2025-12-04T10:06:18.0846250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:18.0849659Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_rename_privateuse1_to_existing_device.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:18.084691] 2025-12-04T10:06:22.8463754Z 2025-12-04T10:06:22.8465286Z test_rename_privateuse1_to_existing_device 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_rename_privateuse1_to_existing_device_1.1_dd59c26d3e88c551_.log 2025-12-04T10:06:22.8466559Z Running 0 items in this shard: 2025-12-04T10:06:22.8466788Z 2025-12-04T10:06:22.8467216Z Finished test_rename_privateuse1_to_existing_device 1/1 ... [2025-12-04 10:06:22.846193][2022.173128418], took 0.08min 2025-12-04T10:06:22.8588826Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_rename_privateuse1_to_existing_device/test_rename_privateuse1_to_existing_device-22adf101b5664407.xml 2025-12-04T10:06:22.9211130Z Running nn/attention/test_fa4 1/1 ... [2025-12-04 10:06:22.920876][2022.247813711] 2025-12-04T10:06:22.9211685Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:22.9215036Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/attention/test_fa4.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:22.921255] 2025-12-04T10:06:29.7991486Z 2025-12-04T10:06:29.7992457Z nn/attention/test_fa4 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.attention.test_fa4_1.1_5aa621f1199a6c43_.log 2025-12-04T10:06:29.7993372Z Running 0 items in this shard: 2025-12-04T10:06:29.7993592Z 2025-12-04T10:06:29.7993931Z Finished nn/attention/test_fa4 1/1 ... [2025-12-04 10:06:29.798928][2029.12586234], took 0.11min 2025-12-04T10:06:29.8119258Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.attention.test_fa4/nn.attention.test_fa4-849a6bcf8d2f719b.xml 2025-12-04T10:06:29.8959960Z Running typing/test_python_operators 1/1 ... [2025-12-04 10:06:29.895674][2029.222609319] 2025-12-04T10:06:29.8960567Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:29.8963772Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'typing/test_python_operators.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:29.896098] 2025-12-04T10:06:35.2734988Z 2025-12-04T10:06:35.2736108Z typing/test_python_operators 1/1 was successful, full logs can be found in artifacts with path test/test-reports/typing.test_python_operators_1.1_77d4ceded6be203a_.log 2025-12-04T10:06:35.2737091Z Running 0 items in this shard: 2025-12-04T10:06:35.2737325Z 2025-12-04T10:06:35.2737693Z Finished typing/test_python_operators 1/1 ... [2025-12-04 10:06:35.273301][2034.600237518], took 0.09min 2025-12-04T10:06:35.2862728Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/typing.test_python_operators/typing.test_python_operators-3daf9cb4fa6e143e.xml 2025-12-04T10:06:35.3148291Z Running test_functionalization 1/1 ... [2025-12-04 10:06:35.314640][2034.641578407] 2025-12-04T10:06:35.3148908Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:35.3152387Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functionalization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:35.314993] 2025-12-04T10:06:40.3314156Z 2025-12-04T10:06:40.3315157Z test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_1.1_a3a5db6522a47ad5_.log 2025-12-04T10:06:40.3316093Z Running 0 items in this shard: 2025-12-04T10:06:40.3316323Z 2025-12-04T10:06:40.3316664Z Finished test_functionalization 1/1 ... [2025-12-04 10:06:40.331216][2039.658151416], took 0.08min 2025-12-04T10:06:40.3443109Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functionalization/test_functionalization-b4b24a6668b39b1b.xml 2025-12-04T10:06:40.3729005Z Running torch_np/test_dtype 1/1 ... [2025-12-04 10:06:40.372672][2039.699609341] 2025-12-04T10:06:40.3729561Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:40.3732990Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_dtype.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:40.373028] 2025-12-04T10:06:44.9732780Z 2025-12-04T10:06:44.9733751Z torch_np/test_dtype 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_dtype_1.1_4e91ebab66d9b18e_.log 2025-12-04T10:06:44.9734720Z Running 0 items in this shard: 2025-12-04T10:06:44.9734938Z 2025-12-04T10:06:44.9735264Z Finished torch_np/test_dtype 1/1 ... [2025-12-04 10:06:44.973128][2044.300061457], took 0.08min 2025-12-04T10:06:44.9864108Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_dtype/torch_np.test_dtype-8b359d6e47981048.xml 2025-12-04T10:06:45.0234252Z Running test_file_check 1/1 ... [2025-12-04 10:06:45.023213][2044.350151101] 2025-12-04T10:06:45.0234770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:45.0238587Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_file_check.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:45.023600] 2025-12-04T10:06:49.5486061Z 2025-12-04T10:06:49.5487054Z test_file_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_file_check_1.1_935b66a4fae3bea0_.log 2025-12-04T10:06:49.5488014Z Running 0 items in this shard: 2025-12-04T10:06:49.5488262Z 2025-12-04T10:06:49.5488579Z Finished test_file_check 1/1 ... [2025-12-04 10:06:49.548432][2048.875367952], took 0.08min 2025-12-04T10:06:49.5617656Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_file_check/test_file_check-2a380b04a4dfe2e6.xml 2025-12-04T10:06:49.5944385Z Running profiler/test_kineto 1/1 ... [2025-12-04 10:06:49.594246][2048.92118395] 2025-12-04T10:06:49.5945019Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:49.5948671Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_kineto.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:49.594605] 2025-12-04T10:06:54.1196311Z 2025-12-04T10:06:54.1197457Z profiler/test_kineto 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_kineto_1.1_c8a7a28f7993d9b0_.log 2025-12-04T10:06:54.1198408Z Running 0 items in this shard: 2025-12-04T10:06:54.1198662Z 2025-12-04T10:06:54.1199001Z Finished profiler/test_kineto 1/1 ... [2025-12-04 10:06:54.119455][2053.446389411], took 0.08min 2025-12-04T10:06:54.1328876Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_kineto/profiler.test_kineto-6c06f894003f57c6.xml 2025-12-04T10:06:54.1625367Z Running test_flop_counter 1/1 ... [2025-12-04 10:06:54.162334][2053.489273015] 2025-12-04T10:06:54.1625892Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:54.1629308Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_flop_counter.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:54.162699] 2025-12-04T10:06:59.2683811Z 2025-12-04T10:06:59.2685060Z test_flop_counter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_flop_counter_1.1_85c7be1b86242e2b_.log 2025-12-04T10:06:59.2686118Z Running 0 items in this shard: 2025-12-04T10:06:59.2686351Z 2025-12-04T10:06:59.2686656Z Finished test_flop_counter 1/1 ... [2025-12-04 10:06:59.268192][2058.595128955], took 0.09min 2025-12-04T10:06:59.2817745Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_flop_counter/test_flop_counter-c0aef55e62b4fb8a.xml 2025-12-04T10:06:59.3127016Z Running backends/xeon/test_launch 1/1 ... [2025-12-04 10:06:59.312476][2058.639414555] 2025-12-04T10:06:59.3127604Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:06:59.3131358Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'backends/xeon/test_launch.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:06:59.312850] 2025-12-04T10:07:03.8619770Z 2025-12-04T10:07:03.8620918Z backends/xeon/test_launch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/backends.xeon.test_launch_1.1_7bdff9c74fe71057_.log 2025-12-04T10:07:03.8621914Z Running 0 items in this shard: 2025-12-04T10:07:03.8622149Z 2025-12-04T10:07:03.8622513Z Finished backends/xeon/test_launch 1/1 ... [2025-12-04 10:07:03.861778][2063.188713687], took 0.08min 2025-12-04T10:07:03.8756863Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/backends.xeon.test_launch/backends.xeon.test_launch-065eef865898d9c3.xml 2025-12-04T10:07:03.9058502Z Running test_openmp 1/1 ... [2025-12-04 10:07:03.905661][2063.232600067] 2025-12-04T10:07:03.9059006Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:03.9062832Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_openmp.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:07:03.906029] 2025-12-04T10:07:08.4419083Z 2025-12-04T10:07:08.4420003Z test_openmp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openmp_1.1_be92d94ead6e0726_.log 2025-12-04T10:07:08.4420866Z Running 0 items in this shard: 2025-12-04T10:07:08.4421106Z 2025-12-04T10:07:08.4421380Z Finished test_openmp 1/1 ... [2025-12-04 10:07:08.441753][2067.768686713], took 0.08min 2025-12-04T10:07:08.4558464Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_openmp/test_openmp-ab448aed5420fbaa.xml 2025-12-04T10:07:08.4928187Z Running test_expanded_weights 1/1 ... [2025-12-04 10:07:08.492596][2067.81953473] 2025-12-04T10:07:08.4928744Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:08.4932531Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_expanded_weights.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:07:08.492964] 2025-12-04T10:07:17.0499504Z 2025-12-04T10:07:17.0500391Z test_expanded_weights 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_expanded_weights_1.1_8025a03123b6c4d7_.log 2025-12-04T10:07:17.0501326Z Running 0 items in this shard: 2025-12-04T10:07:17.0501560Z 2025-12-04T10:07:17.0501888Z Finished test_expanded_weights 1/1 ... [2025-12-04 10:07:17.049760][2076.376696371], took 0.14min 2025-12-04T10:07:17.0639108Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_expanded_weights/test_expanded_weights-51f6c1ec0f18888e.xml 2025-12-04T10:07:17.1395396Z Running test_module_tracker 1/1 ... [2025-12-04 10:07:17.139318][2076.466256484] 2025-12-04T10:07:17.1395927Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:17.1399606Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_module_tracker.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:07:17.139696] 2025-12-04T10:07:21.7003468Z 2025-12-04T10:07:21.7004436Z test_module_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_module_tracker_1.1_edb26f6c2c843fd2_.log 2025-12-04T10:07:21.7005321Z Running 0 items in this shard: 2025-12-04T10:07:21.7005541Z 2025-12-04T10:07:21.7005871Z Finished test_module_tracker 1/1 ... [2025-12-04 10:07:21.700175][2081.027110402], took 0.08min 2025-12-04T10:07:21.7144243Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_module_tracker/test_module_tracker-59df1bd0340803d5.xml 2025-12-04T10:07:21.7406076Z Running torch_np/numpy_tests/core/test_scalarinherit 1/1 ... [2025-12-04 10:07:21.740415][2081.067353438] 2025-12-04T10:07:21.7406759Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:21.7410319Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarinherit.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:07:21.740775] 2025-12-04T10:07:26.4483491Z 2025-12-04T10:07:26.4484739Z torch_np/numpy_tests/core/test_scalarinherit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarinherit_1.1_ff7821d70bafc68b_.log 2025-12-04T10:07:26.4485893Z Running 0 items in this shard: 2025-12-04T10:07:26.4486111Z 2025-12-04T10:07:26.4486559Z Finished torch_np/numpy_tests/core/test_scalarinherit 1/1 ... [2025-12-04 10:07:26.448191][2085.775126974], took 0.08min 2025-12-04T10:07:26.4626342Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalarinherit/torch_np.numpy_tests.core.test_scalarinherit-df38856843ff6a2a.xml 2025-12-04T10:07:26.4906172Z Running test_tensorexpr_pybind 1/1 ... [2025-12-04 10:07:26.490405][2085.817342379] 2025-12-04T10:07:26.4906733Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:26.4910235Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_tensorexpr_pybind.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:07:26.490774] 2025-12-04T10:07:31.3416235Z 2025-12-04T10:07:31.3417256Z test_tensorexpr_pybind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_pybind_1.1_f7fca7e4b07c8330_.log 2025-12-04T10:07:31.3418177Z Running 0 items in this shard: 2025-12-04T10:07:31.3418446Z 2025-12-04T10:07:31.3418780Z Finished test_tensorexpr_pybind 1/1 ... [2025-12-04 10:07:31.341451][2090.668387755], took 0.08min 2025-12-04T10:07:31.3561542Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorexpr_pybind/test_tensorexpr_pybind-5aefa18bfba4d208.xml 2025-12-04T10:07:31.3850639Z Running test_fx_experimental 1/1 ... [2025-12-04 10:07:31.384894][2090.711831509] 2025-12-04T10:07:31.3851182Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:31.3854960Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx_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 10:07:31.385253] 2025-12-04T10:07:41.0620898Z 2025-12-04T10:07:41.0622348Z test_fx_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_experimental_1.1_94251ccb0fe84cc9_.log 2025-12-04T10:07:41.0623419Z Running 0 items in this shard: 2025-12-04T10:07:41.0623638Z 2025-12-04T10:07:41.0623970Z Finished test_fx_experimental 1/1 ... [2025-12-04 10:07:41.061909][2100.388845776], took 0.16min 2025-12-04T10:07:41.0767312Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx_experimental/test_fx_experimental-7cdbb12f1f6199c4.xml 2025-12-04T10:07:41.1470331Z Running functorch/test_ac_knapsack 1/1 ... [2025-12-04 10:07:41.146734][2100.473670767] 2025-12-04T10:07:41.1470948Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:41.1473634Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ac_knapsack.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:07:41.147104] 2025-12-04T10:07:45.8998211Z 2025-12-04T10:07:45.8999275Z functorch/test_ac_knapsack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_knapsack_1.1_41bf0779e9b52e4d_.log 2025-12-04T10:07:45.9000257Z Running 0 items in this shard: 2025-12-04T10:07:45.9000494Z 2025-12-04T10:07:45.9000848Z Finished functorch/test_ac_knapsack 1/1 ... [2025-12-04 10:07:45.899617][2105.226553521], took 0.08min 2025-12-04T10:07:45.9145739Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ac_knapsack/functorch.test_ac_knapsack-ad95ed2feabda410.xml 2025-12-04T10:07:45.9458640Z Running torch_np/test_nep50_examples 1/1 ... [2025-12-04 10:07:45.945652][2105.272589425] 2025-12-04T10:07:45.9459212Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:45.9462689Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_nep50_examples.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:07:45.946020] 2025-12-04T10:07:53.9440245Z 2025-12-04T10:07:53.9441381Z torch_np/test_nep50_examples 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_nep50_examples_1.1_5bcd78e53dd9abf9_.log 2025-12-04T10:07:53.9442359Z Running 0 items in this shard: 2025-12-04T10:07:53.9442588Z 2025-12-04T10:07:53.9442943Z Finished torch_np/test_nep50_examples 1/1 ... [2025-12-04 10:07:53.943840][2113.270775848], took 0.13min 2025-12-04T10:07:53.9590450Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_nep50_examples/torch_np.test_nep50_examples-dd42a759b45e00af.xml 2025-12-04T10:07:54.0466042Z Running test_fx_passes 1/1 ... [2025-12-04 10:07:54.046327][2113.37326322] 2025-12-04T10:07:54.0466562Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:54.0469895Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx_passes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:07:54.046736] 2025-12-04T10:07:59.0589626Z 2025-12-04T10:07:59.0590543Z test_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_passes_1.1_d2ecd60e1b59b361_.log 2025-12-04T10:07:59.0591375Z Running 0 items in this shard: 2025-12-04T10:07:59.0591595Z 2025-12-04T10:07:59.0591895Z Finished test_fx_passes 1/1 ... [2025-12-04 10:07:59.058794][2118.385729928], took 0.08min 2025-12-04T10:07:59.0741184Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx_passes/test_fx_passes-eb44fa91d601aabf.xml 2025-12-04T10:07:59.1149583Z Running functorch/test_logging 1/1 ... [2025-12-04 10:07:59.114767][2118.44170499] 2025-12-04T10:07:59.1150621Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:07:59.1154254Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/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 10:07:59.115139] 2025-12-04T10:08:03.9136407Z 2025-12-04T10:08:03.9137454Z functorch/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_logging_1.1_87cf39845db4aa63_.log 2025-12-04T10:08:03.9138379Z Running 0 items in this shard: 2025-12-04T10:08:03.9138611Z 2025-12-04T10:08:03.9138946Z Finished functorch/test_logging 1/1 ... [2025-12-04 10:08:03.913453][2123.240389271], took 0.08min 2025-12-04T10:08:03.9285846Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_logging/functorch.test_logging-f8831103ff0f029c.xml 2025-12-04T10:08:04.0083810Z Running test_namedtensor 1/1 ... [2025-12-04 10:08:04.008161][2123.335098436] 2025-12-04T10:08:04.0084344Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:04.0088004Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_namedtensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:04.008520] 2025-12-04T10:08:09.1956003Z 2025-12-04T10:08:09.1956979Z test_namedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtensor_1.1_5dd1cb188bcbc786_.log 2025-12-04T10:08:09.1957825Z Running 0 items in this shard: 2025-12-04T10:08:09.1958070Z 2025-12-04T10:08:09.1958376Z Finished test_namedtensor 1/1 ... [2025-12-04 10:08:09.195424][2128.522360422], took 0.09min 2025-12-04T10:08:09.2113672Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_namedtensor/test_namedtensor-e900061fccc2fbdd.xml 2025-12-04T10:08:09.2389498Z Running functorch/test_minifier 1/1 ... [2025-12-04 10:08:09.238732][2128.565670313] 2025-12-04T10:08:09.2390081Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:09.2393681Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/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 10:08:09.239115] 2025-12-04T10:08:14.4824766Z 2025-12-04T10:08:14.4825819Z functorch/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_minifier_1.1_7c8f719ec43add2c_.log 2025-12-04T10:08:14.4826749Z Running 0 items in this shard: 2025-12-04T10:08:14.4826985Z 2025-12-04T10:08:14.4827380Z Finished functorch/test_minifier 1/1 ... [2025-12-04 10:08:14.482294][2133.809228376], took 0.09min 2025-12-04T10:08:14.4985058Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_minifier/functorch.test_minifier-09993900c08c4dcd.xml 2025-12-04T10:08:14.5249846Z Running higher_order_ops/test_invoke_quant 1/1 ... [2025-12-04 10:08:14.524790][2133.85172842] 2025-12-04T10:08:14.5250441Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:14.5254019Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_invoke_quant.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:14.525149] 2025-12-04T10:08:23.9682846Z 2025-12-04T10:08:23.9684295Z higher_order_ops/test_invoke_quant 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_quant_1.1_595d5bd9613d426b_.log 2025-12-04T10:08:23.9685502Z Running 0 items in this shard: 2025-12-04T10:08:23.9685720Z 2025-12-04T10:08:23.9686103Z Finished higher_order_ops/test_invoke_quant 1/1 ... [2025-12-04 10:08:23.968114][2143.295049396], took 0.16min 2025-12-04T10:08:23.9844949Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_quant/higher_order_ops.test_invoke_quant-c9985b44d6c410ec.xml 2025-12-04T10:08:24.0614519Z Running torch_np/test_basic 1/1 ... [2025-12-04 10:08:24.061219][2143.388156638] 2025-12-04T10:08:24.0615064Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:24.0619547Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_basic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:24.061610] 2025-12-04T10:08:29.9550740Z 2025-12-04T10:08:29.9551664Z torch_np/test_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_basic_1.1_fa52bf37919dab76_.log 2025-12-04T10:08:29.9552539Z Running 0 items in this shard: 2025-12-04T10:08:29.9552755Z 2025-12-04T10:08:29.9553065Z Finished torch_np/test_basic 1/1 ... [2025-12-04 10:08:29.954891][2149.281825778], took 0.10min 2025-12-04T10:08:29.9710337Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_basic/torch_np.test_basic-6a7e32827cb45b8e.xml 2025-12-04T10:08:29.9970262Z Running test_jiterator 1/1 ... [2025-12-04 10:08:29.996843][2149.323780343] 2025-12-04T10:08:29.9970780Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:29.9974547Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jiterator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:29.997213] 2025-12-04T10:08:37.1869583Z 2025-12-04T10:08:37.1870654Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_e8b0404c5c658cb1_.log 2025-12-04T10:08:37.1871482Z Running 0 items in this shard: 2025-12-04T10:08:37.1871718Z 2025-12-04T10:08:37.1872011Z Finished test_jiterator 1/1 ... [2025-12-04 10:08:37.186743][2156.513678939], took 0.12min 2025-12-04T10:08:37.2036584Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jiterator/test_jiterator-99450659ef1d4231.xml 2025-12-04T10:08:37.2786684Z Running test_native_functions 1/1 ... [2025-12-04 10:08:37.278431][2156.605369619] 2025-12-04T10:08:37.2787257Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:37.2790966Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_native_functions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:37.278821] 2025-12-04T10:08:41.8893087Z 2025-12-04T10:08:41.8894078Z test_native_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_functions_1.1_5301fa70f8a3de37_.log 2025-12-04T10:08:41.8894988Z Running 0 items in this shard: 2025-12-04T10:08:41.8895224Z 2025-12-04T10:08:41.8895549Z Finished test_native_functions 1/1 ... [2025-12-04 10:08:41.889117][2161.216049222], took 0.08min 2025-12-04T10:08:41.9060549Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_functions/test_native_functions-3273d83db8d75aed.xml 2025-12-04T10:08:41.9333461Z Running test_typing 1/1 ... [2025-12-04 10:08:41.933182][2161.260119198] 2025-12-04T10:08:41.9333964Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:41.9338304Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_typing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:41.933577] 2025-12-04T10:08:46.6544357Z 2025-12-04T10:08:46.6545253Z test_typing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_typing_1.1_51dc68da23a8711d_.log 2025-12-04T10:08:46.6546064Z Running 0 items in this shard: 2025-12-04T10:08:46.6546280Z 2025-12-04T10:08:46.6546571Z Finished test_typing 1/1 ... [2025-12-04 10:08:46.654256][2165.981190709], took 0.08min 2025-12-04T10:08:46.6714940Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_typing/test_typing-a727b12da8181df8.xml 2025-12-04T10:08:46.6991648Z Running functorch/test_control_flow 2/2 ... [2025-12-04 10:08:46.698889][2166.025827399] 2025-12-04T10:08:46.6992307Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:46.6995485Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_control_flow.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 10:08:46.699279] 2025-12-04T10:08:56.4339703Z 2025-12-04T10:08:56.4340743Z functorch/test_control_flow 2/2 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_control_flow_2.2_7c7654bb6bb23316_.log 2025-12-04T10:08:56.4341777Z Running 0 items in this shard: 2025-12-04T10:08:56.4341994Z 2025-12-04T10:08:56.4342359Z Finished functorch/test_control_flow 2/2 ... [2025-12-04 10:08:56.433792][2175.7607286], took 0.16min 2025-12-04T10:08:56.4507771Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_control_flow/functorch.test_control_flow-284b94b07ae757ea.xml 2025-12-04T10:08:56.5240842Z Running complex_tensor/test_complex_tensor 1/1 ... [2025-12-04 10:08:56.523840][2175.850777129] 2025-12-04T10:08:56.5241477Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:56.5244760Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'complex_tensor/test_complex_tensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:08:56.524224] 2025-12-04T10:09:05.6140596Z 2025-12-04T10:09:05.6141789Z complex_tensor/test_complex_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/complex_tensor.test_complex_tensor_1.1_2ccd2feba9a3c30d_.log 2025-12-04T10:09:05.6142843Z Running 0 items in this shard: 2025-12-04T10:09:05.6143060Z 2025-12-04T10:09:05.6143499Z Finished complex_tensor/test_complex_tensor 1/1 ... [2025-12-04 10:09:05.613891][2184.940826632], took 0.15min 2025-12-04T10:09:05.6306962Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/complex_tensor.test_complex_tensor/complex_tensor.test_complex_tensor-ecedc7fbefaf4e12.xml 2025-12-04T10:09:05.7040010Z Running test_xnnpack_integration 1/1 ... [2025-12-04 10:09:05.703741][2185.030679108] 2025-12-04T10:09:05.7040614Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:05.7043835Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_xnnpack_integration.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:05.704119] 2025-12-04T10:09:10.2847420Z 2025-12-04T10:09:10.2848721Z test_xnnpack_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_xnnpack_integration_1.1_9d2d9d6f47e85354_.log 2025-12-04T10:09:10.2849817Z Running 0 items in this shard: 2025-12-04T10:09:10.2850049Z 2025-12-04T10:09:10.2850396Z Finished test_xnnpack_integration 1/1 ... [2025-12-04 10:09:10.284568][2189.611503486], took 0.08min 2025-12-04T10:09:10.3018984Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_xnnpack_integration/test_xnnpack_integration-814442d01679c70f.xml 2025-12-04T10:09:10.3319230Z Running torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 10:09:10.331690][2189.658627399] 2025-12-04T10:09:10.3319883Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:10.3323542Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numerictypes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:10.332091] 2025-12-04T10:09:14.9351868Z 2025-12-04T10:09:14.9353115Z torch_np/numpy_tests/core/test_numerictypes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numerictypes_1.1_8ca6e57279da6263_.log 2025-12-04T10:09:14.9354267Z Running 0 items in this shard: 2025-12-04T10:09:14.9354513Z 2025-12-04T10:09:14.9354958Z Finished torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 10:09:14.934985][2194.261920958], took 0.08min 2025-12-04T10:09:14.9522352Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_numerictypes/torch_np.numpy_tests.core.test_numerictypes-b076d48763a3dbac.xml 2025-12-04T10:09:14.9795217Z Running test_function_schema 1/1 ... [2025-12-04 10:09:14.979320][2194.306257475] 2025-12-04T10:09:14.9795804Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:14.9799695Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_function_schema.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:14.979706] 2025-12-04T10:09:19.5702192Z 2025-12-04T10:09:19.5703181Z test_function_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_function_schema_1.1_2544f733efd708d5_.log 2025-12-04T10:09:19.5704084Z Running 0 items in this shard: 2025-12-04T10:09:19.5704303Z 2025-12-04T10:09:19.5704644Z Finished test_function_schema 1/1 ... [2025-12-04 10:09:19.570028][2198.896963522], took 0.08min 2025-12-04T10:09:19.5878911Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_function_schema/test_function_schema-293a23f7bcdc2f8a.xml 2025-12-04T10:09:19.6143306Z Running test_accelerator 1/1 ... [2025-12-04 10:09:19.614120][2198.941057236] 2025-12-04T10:09:19.6143872Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:19.6147405Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_accelerator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:19.614493] 2025-12-04T10:09:24.5786505Z 2025-12-04T10:09:24.5787592Z test_accelerator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_accelerator_1.1_bf7f2a4e3ba7f2f6_.log 2025-12-04T10:09:24.5788461Z Running 0 items in this shard: 2025-12-04T10:09:24.5788683Z 2025-12-04T10:09:24.5788989Z Finished test_accelerator 1/1 ... [2025-12-04 10:09:24.578477][2203.905412479], took 0.08min 2025-12-04T10:09:24.5963778Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_accelerator/test_accelerator-f140a0694c2215d7.xml 2025-12-04T10:09:24.8172046Z Uploading artifacts took 0.20 seconds 2025-12-04T10:09:24.8176734Z Running nn/test_init 1/1 ... [2025-12-04 10:09:24.817503][2204.144441219] 2025-12-04T10:09:24.8177251Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:24.8181417Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_init.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:24.817886] 2025-12-04T10:09:30.0292670Z 2025-12-04T10:09:30.0293570Z nn/test_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_init_1.1_71523b22902e88c0_.log 2025-12-04T10:09:30.0294373Z Running 0 items in this shard: 2025-12-04T10:09:30.0294589Z 2025-12-04T10:09:30.0294876Z Finished nn/test_init 1/1 ... [2025-12-04 10:09:30.029084][2209.356019761], took 0.09min 2025-12-04T10:09:30.0469651Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_init/nn.test_init-410b6f22c08b1fa3.xml 2025-12-04T10:09:30.0754594Z Running torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 10:09:30.075260][2209.402198536] 2025-12-04T10:09:30.0755263Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:30.0759116Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_methods.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:30.075649] 2025-12-04T10:09:34.7654614Z 2025-12-04T10:09:34.7655842Z torch_np/numpy_tests/core/test_scalar_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_methods_1.1_bb03e6d79d8259f7_.log 2025-12-04T10:09:34.7656984Z Running 0 items in this shard: 2025-12-04T10:09:34.7657231Z 2025-12-04T10:09:34.7657698Z Finished torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 10:09:34.765274][2214.092208002], took 0.08min 2025-12-04T10:09:34.7828543Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_methods/torch_np.numpy_tests.core.test_scalar_methods-c3a60578b90ea956.xml 2025-12-04T10:09:34.8090681Z Running torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 10:09:34.808882][2214.135819882] 2025-12-04T10:09:34.8091300Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:34.8095104Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_helper.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:34.809251] 2025-12-04T10:09:39.3616962Z 2025-12-04T10:09:39.3618143Z torch_np/numpy_tests/fft/test_helper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_helper_1.1_696bb165c303b4a6_.log 2025-12-04T10:09:39.3619203Z Running 0 items in this shard: 2025-12-04T10:09:39.3619421Z 2025-12-04T10:09:39.3619832Z Finished torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 10:09:39.361502][2218.688436531], took 0.08min 2025-12-04T10:09:39.3790727Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.fft.test_helper/torch_np.numpy_tests.fft.test_helper-7c4ca03aa506dc03.xml 2025-12-04T10:09:39.4084148Z Running torch_np/test_function_base 1/1 ... [2025-12-04 10:09:39.408176][2218.73511422] 2025-12-04T10:09:39.4084736Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:39.4088346Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_function_base.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:39.408557] 2025-12-04T10:09:43.9474732Z 2025-12-04T10:09:43.9475794Z torch_np/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_function_base_1.1_f4dbb9d4d196886e_.log 2025-12-04T10:09:43.9476771Z Running 0 items in this shard: 2025-12-04T10:09:43.9477005Z 2025-12-04T10:09:43.9477361Z Finished torch_np/test_function_base 1/1 ... [2025-12-04 10:09:43.947302][2223.274235514], took 0.08min 2025-12-04T10:09:43.9650859Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_function_base/torch_np.test_function_base-cf472ed2491a42e6.xml 2025-12-04T10:09:43.9912071Z Running test_type_promotion 1/1 ... [2025-12-04 10:09:43.991033][2223.31797228] 2025-12-04T10:09:43.9912610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:43.9916499Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_promotion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:43.991406] 2025-12-04T10:09:51.6722871Z 2025-12-04T10:09:51.6724003Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_3865053cedcdc29a_.log 2025-12-04T10:09:51.6724892Z Running 0 items in this shard: 2025-12-04T10:09:51.6725112Z 2025-12-04T10:09:51.6725432Z Finished test_type_promotion 1/1 ... [2025-12-04 10:09:51.672093][2230.999030856], took 0.13min 2025-12-04T10:09:51.6906840Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_promotion/test_type_promotion-729061e2f9f9a71e.xml 2025-12-04T10:09:51.7651163Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 10:09:51.764820][2231.091755718] 2025-12-04T10:09:51.7651773Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:51.7655496Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:51.765279] 2025-12-04T10:09:56.3223323Z 2025-12-04T10:09:56.3224415Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_4c611c8a2705e418_.log 2025-12-04T10:09:56.3225415Z Running 0 items in this shard: 2025-12-04T10:09:56.3225633Z 2025-12-04T10:09:56.3226012Z Finished torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 10:09:56.322147][2235.649082818], took 0.08min 2025-12-04T10:09:56.3406506Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_scalars_0D_arrays/torch_np.test_scalars_0D_arrays-c9ee4b9a23c588c7.xml 2025-12-04T10:09:56.3716429Z Running profiler/test_profiler_tree 1/1 ... [2025-12-04 10:09:56.371445][2235.698383022] 2025-12-04T10:09:56.3717026Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:09:56.3720835Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_profiler_tree.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:09:56.371839] 2025-12-04T10:10:00.9121819Z 2025-12-04T10:10:00.9122905Z profiler/test_profiler_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_tree_1.1_6e045dac45f46ce1_.log 2025-12-04T10:10:00.9123895Z Running 0 items in this shard: 2025-12-04T10:10:00.9124113Z 2025-12-04T10:10:00.9124955Z Finished profiler/test_profiler_tree 1/1 ... [2025-12-04 10:10:00.912004][2240.238939816], took 0.08min 2025-12-04T10:10:00.9308380Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_profiler_tree/profiler.test_profiler_tree-3f3a1bf8f60453c4.xml 2025-12-04T10:10:00.9586107Z Running torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 10:10:00.958375][2240.2853126] 2025-12-04T10:10:00.9586764Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:00.9590380Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraysetops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:10:00.958778] 2025-12-04T10:10:05.5827314Z 2025-12-04T10:10:05.5829265Z torch_np/numpy_tests/lib/test_arraysetops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_63fcc99eddea0f13_.log 2025-12-04T10:10:05.5831327Z Running 0 items in this shard: 2025-12-04T10:10:05.5831676Z 2025-12-04T10:10:05.5832405Z Finished torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 10:10:05.582560][2244.909495394], took 0.08min 2025-12-04T10:10:05.6015185Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraysetops/torch_np.numpy_tests.lib.test_arraysetops-8053290be3400eef.xml 2025-12-04T10:10:05.6338242Z Running test_dlpack 1/1 ... [2025-12-04 10:10:05.633637][2244.960575697] 2025-12-04T10:10:05.6338746Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:05.6342690Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dlpack.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:10:05.634014] 2025-12-04T10:10:12.5551337Z 2025-12-04T10:10:12.5552520Z test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dlpack_1.1_e69123bee4082000_.log 2025-12-04T10:10:12.5553529Z Running 0 items in this shard: 2025-12-04T10:10:12.5553767Z 2025-12-04T10:10:12.5554040Z Finished test_dlpack 1/1 ... [2025-12-04 10:10:12.554923][2251.881857883], took 0.12min 2025-12-04T10:10:12.5742229Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dlpack/test_dlpack-8c0cf21d1261b7a2.xml 2025-12-04T10:10:12.6483781Z Running profiler/test_torch_tidy 1/1 ... [2025-12-04 10:10:12.648143][2251.975081178] 2025-12-04T10:10:12.6484358Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:12.6488048Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_torch_tidy.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:10:12.648535] 2025-12-04T10:10:17.4107629Z 2025-12-04T10:10:17.4108599Z profiler/test_torch_tidy 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_torch_tidy_1.1_83ff76c1fbcac777_.log 2025-12-04T10:10:17.4109547Z Running 0 items in this shard: 2025-12-04T10:10:17.4109766Z 2025-12-04T10:10:17.4110125Z Finished profiler/test_torch_tidy 1/1 ... [2025-12-04 10:10:17.410569][2256.737505645], took 0.08min 2025-12-04T10:10:17.4295216Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_torch_tidy/profiler.test_torch_tidy-d7f2c8d6d8375637.xml 2025-12-04T10:10:17.4546670Z Running lazy/test_reuse_ir 1/1 ... [2025-12-04 10:10:17.454487][2256.781426282] 2025-12-04T10:10:17.4547203Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:17.4551264Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_reuse_ir.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:10:17.454860] 2025-12-04T10:10:22.0307363Z 2025-12-04T10:10:22.0308290Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_4477e66ccce4ee8b_.log 2025-12-04T10:10:22.0309157Z Running 0 items in this shard: 2025-12-04T10:10:22.0309395Z 2025-12-04T10:10:22.0309697Z Finished lazy/test_reuse_ir 1/1 ... [2025-12-04 10:10:22.030552][2261.357488088], took 0.08min 2025-12-04T10:10:22.0499802Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_reuse_ir/lazy.test_reuse_ir-b3bb689e6f1df207.xml 2025-12-04T10:10:22.0764285Z Running test_functional_autograd_benchmark 1/1 ... [2025-12-04 10:10:22.076232][2261.403171396] 2025-12-04T10:10:22.0764968Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:22.0768645Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functional_autograd_benchmark.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:10:22.076605] 2025-12-04T10:10:26.6644704Z 2025-12-04T10:10:26.6646018Z test_functional_autograd_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_autograd_benchmark_1.1_96e5b04607d05a44_.log 2025-12-04T10:10:26.6647074Z Running 0 items in this shard: 2025-12-04T10:10:26.6647297Z 2025-12-04T10:10:26.6647697Z Finished test_functional_autograd_benchmark 1/1 ... [2025-12-04 10:10:26.664300][2265.991235517], took 0.08min 2025-12-04T10:10:26.6839932Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functional_autograd_benchmark/test_functional_autograd_benchmark-83d7accb71258f34.xml 2025-12-04T10:10:26.7100683Z Running torch_np/test_reductions 1/1 ... [2025-12-04 10:10:26.709854][2266.036792182] 2025-12-04T10:10:26.7101312Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:26.7105336Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_reductions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:10:26.710275] 2025-12-04T10:10:33.5025075Z 2025-12-04T10:10:33.5026136Z torch_np/test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_reductions_1.1_6d172f3a395c2ad9_.log 2025-12-04T10:10:33.5027080Z Running 0 items in this shard: 2025-12-04T10:10:33.5027325Z 2025-12-04T10:10:33.5027698Z Finished torch_np/test_reductions 1/1 ... [2025-12-04 10:10:33.502328][2272.829263285], took 0.11min 2025-12-04T10:10:33.5226585Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_reductions/torch_np.test_reductions-f57a6c207e8977e3.xml 2025-12-04T10:10:33.6713301Z Running torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 10:10:33.670980][2272.997916301] 2025-12-04T10:10:33.6713994Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:33.6717407Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_ctors.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:10:33.671467] 2025-12-04T10:10:38.3919986Z 2025-12-04T10:10:38.3921545Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_fcfbdd36090a91b8_.log 2025-12-04T10:10:38.3922846Z Running 0 items in this shard: 2025-12-04T10:10:38.3923063Z 2025-12-04T10:10:38.3923512Z Finished torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 10:10:38.391814][2277.718751401], took 0.08min 2025-12-04T10:10:38.4113855Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_ctors/torch_np.numpy_tests.core.test_scalar_ctors-290356f4b69faaaa.xml 2025-12-04T10:10:38.4385516Z Running torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 10:10:38.438368][2277.76530667] 2025-12-04T10:10:38.4386146Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:38.4389715Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraypad.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:10:38.438717] 2025-12-04T10:10:42.9716223Z 2025-12-04T10:10:42.9717401Z torch_np/numpy_tests/lib/test_arraypad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_604e6a1016312a00_.log 2025-12-04T10:10:42.9718478Z Running 0 items in this shard: 2025-12-04T10:10:42.9718695Z 2025-12-04T10:10:42.9719122Z Finished torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 10:10:42.971462][2282.298398533], took 0.08min 2025-12-04T10:10:42.9912285Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraypad/torch_np.numpy_tests.lib.test_arraypad-026977b90eda75d0.xml 2025-12-04T10:10:43.0161105Z Running test_prims 1/1 ... [2025-12-04 10:10:43.015923][2282.342861369] 2025-12-04T10:10:43.0161601Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:43.0165166Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_prims.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:10:43.016269] 2025-12-04T10:10:51.0054146Z 2025-12-04T10:10:51.0055060Z test_prims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_prims_1.1_62e1d5c130ecb49d_.log 2025-12-04T10:10:51.0055843Z Running 0 items in this shard: 2025-12-04T10:10:51.0056074Z 2025-12-04T10:10:51.0056341Z Finished test_prims 1/1 ... [2025-12-04 10:10:51.005246][2290.332183061], took 0.13min 2025-12-04T10:10:51.0252810Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_prims/test_prims-ce3812c183850622.xml 2025-12-04T10:10:51.1002003Z Running profiler/test_python_tracer 1/1 ... [2025-12-04 10:10:51.099919][2290.426856247] 2025-12-04T10:10:51.1002591Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:51.1005947Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_python_tracer.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:10:51.100327] 2025-12-04T10:10:55.7862039Z 2025-12-04T10:10:55.7863088Z profiler/test_python_tracer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_python_tracer_1.1_cf002f3a70b94ea7_.log 2025-12-04T10:10:55.7864077Z Running 0 items in this shard: 2025-12-04T10:10:55.7864296Z 2025-12-04T10:10:55.7864678Z Finished profiler/test_python_tracer 1/1 ... [2025-12-04 10:10:55.786027][2295.112963692], took 0.08min 2025-12-04T10:10:55.8060015Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_python_tracer/profiler.test_python_tracer-65f2ebe9774a4521.xml 2025-12-04T10:10:55.8321497Z Running cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 10:10:55.831914][2295.158851932] 2025-12-04T10:10:55.8322336Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:10:55.8325722Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:10:55.832290] 2025-12-04T10:11:00.6768813Z 2025-12-04T10:11:00.6770364Z cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility_1.1_c0ea01eafee74b89_.log 2025-12-04T10:11:00.6771841Z Running 0 items in this shard: 2025-12-04T10:11:00.6772104Z 2025-12-04T10:11:00.6772720Z Finished cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 10:11:00.676694][2300.003630083], took 0.08min 2025-12-04T10:11:00.6970190Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility-4d69fc4c9899e3aa.xml 2025-12-04T10:11:06.8291488Z Running inductor/test_aot_inductor 3/6 ... [2025-12-04 10:11:06.828718][2306.155653844] 2025-12-04T10:11:06.8292105Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:06.8295220Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor.py', '-m', 'not serial', '--shard-id=3', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:11:06.829206] 2025-12-04T10:11:06.8300042Z Running inductor/test_torchinductor_dynamic_shapes 1/5 ... [2025-12-04 10:11:06.829788][2306.15672404] 2025-12-04T10:11:06.8300709Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:06.8305213Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:11:06.830242] 2025-12-04T10:11:22.0935431Z 2025-12-04T10:11:22.0936686Z inductor/test_aot_inductor 3/6 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_3.6_351ec85d0318bf1b_.log 2025-12-04T10:11:22.0937907Z Running 0 items in this shard: 2025-12-04T10:11:22.0938219Z 2025-12-04T10:11:22.0938781Z Finished inductor/test_aot_inductor 3/6 ... [2025-12-04 10:11:22.093498][2321.420433764], took 0.25min 2025-12-04T10:11:22.0996457Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-668347d0cc7a58cc.xml 2025-12-04T10:11:22.2184418Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-d80b3993c37f0c6c.xml 2025-12-04T10:11:22.4378259Z 2025-12-04T10:11:22.4379794Z inductor/test_torchinductor_dynamic_shapes 1/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_1.5_c60e7b0f4d433d91_.log 2025-12-04T10:11:22.4381581Z Running 0 items in this shard: 2025-12-04T10:11:22.4381888Z 2025-12-04T10:11:22.4382656Z Finished inductor/test_torchinductor_dynamic_shapes 1/5 ... [2025-12-04 10:11:22.437777][2321.764712606], took 0.26min 2025-12-04T10:11:29.2419909Z Running inductor/test_torchinductor_dynamic_shapes 2/5 ... [2025-12-04 10:11:29.241575][2328.56851149] 2025-12-04T10:11:29.2420851Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:29.2423708Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.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 10:11:29.242059] 2025-12-04T10:11:29.4573120Z Running inductor/test_torchinductor_codegen_dynamic_shapes 1/4 ... [2025-12-04 10:11:29.456915][2328.783848051] 2025-12-04T10:11:29.4573850Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:29.4577585Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_codegen_dynamic_shapes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:11:29.457468] 2025-12-04T10:11:47.3181637Z 2025-12-04T10:11:47.3183056Z inductor/test_torchinductor_codegen_dynamic_shapes 1/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_dynamic_shapes_1.4_5ca5cb480a8697ff_.log 2025-12-04T10:11:47.3184293Z Running 0 items in this shard: 2025-12-04T10:11:47.3184512Z 2025-12-04T10:11:47.3185016Z Finished inductor/test_torchinductor_codegen_dynamic_shapes 1/4 ... [2025-12-04 10:11:47.318088][2346.645016457], took 0.30min 2025-12-04T10:11:47.3246477Z 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-64c93eeeec84b178.xml 2025-12-04T10:11:54.3997025Z Running inductor/test_torchinductor_opinfo 1/17 ... [2025-12-04 10:11:54.399303][2353.72623982] 2025-12-04T10:11:54.3997740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:11:54.4000453Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:11:54.399760] 2025-12-04T10:12:15.1472219Z 2025-12-04T10:12:15.1473766Z inductor/test_torchinductor_opinfo 1/17 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_1.17_ea24b87db6e0f999_.log 2025-12-04T10:12:15.1475119Z Running 0 items in this shard: 2025-12-04T10:12:15.1475340Z 2025-12-04T10:12:15.1475984Z Finished inductor/test_torchinductor_opinfo 1/17 ... [2025-12-04 10:12:15.147136][2374.474070047], took 0.35min 2025-12-04T10:12:15.1543775Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-6a00c944147e0d63.xml 2025-12-04T10:12:22.1647024Z Running inductor/test_torchinductor_opinfo 5/17 ... [2025-12-04 10:12:22.164293][2381.491228211] 2025-12-04T10:12:22.1647703Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:12:22.1650571Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=5', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:12:22.164753] 2025-12-04T10:12:28.4083754Z 2025-12-04T10:12:28.4085393Z inductor/test_torchinductor_dynamic_shapes 2/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_2.5_9c7d77065f6d907e_.log 2025-12-04T10:12:28.4120156Z Running 50 items in this shard: test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda 2025-12-04T10:12:28.4152298Z 2025-12-04T10:12:28.4152760Z Finished inductor/test_torchinductor_dynamic_shapes 2/5 ... [2025-12-04 10:12:28.408412][2387.735347817], took 0.99min 2025-12-04T10:12:28.4180049Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-da4a84e1164dec95.xml 2025-12-04T10:12:35.3535776Z Running inductor/test_torchinductor_opinfo 9/17 ... [2025-12-04 10:12:35.353205][2394.680141563] 2025-12-04T10:12:35.3536457Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:12:35.3539423Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=9', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:12:35.353662] 2025-12-04T10:12:43.3896666Z 2025-12-04T10:12:43.3898003Z inductor/test_torchinductor_opinfo 5/17 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_5.17_8f29c4da88ba42fa_.log 2025-12-04T10:12:43.3964296Z Running 100 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64 2025-12-04T10:12:43.4028696Z 2025-12-04T10:12:43.4029124Z Finished inductor/test_torchinductor_opinfo 5/17 ... [2025-12-04 10:12:43.389870][2402.716805534], took 0.35min 2025-12-04T10:12:43.4030737Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-5a7174a1ac1c43ab.xml 2025-12-04T10:12:50.6209690Z Running inductor/test_torchinductor_opinfo 14/17 ... [2025-12-04 10:12:50.620563][2409.947499157] 2025-12-04T10:12:50.6210787Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:12:50.6212896Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=14', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:12:50.621028] 2025-12-04T10:12:56.5343868Z 2025-12-04T10:12:56.5345455Z inductor/test_torchinductor_opinfo 9/17 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_9.17_74bd3422e5951e91_.log 2025-12-04T10:12:56.5428999Z Running 150 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32 2025-12-04T10:12:56.5512162Z 2025-12-04T10:12:56.5512581Z Finished inductor/test_torchinductor_opinfo 9/17 ... [2025-12-04 10:12:56.534653][2415.861586362], took 0.35min 2025-12-04T10:12:56.5514050Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-d0a9789484a355d6.xml 2025-12-04T10:13:03.5604017Z Running inductor/test_pattern_matcher 1/1 ... [2025-12-04 10:13:03.560004][2422.886939522] 2025-12-04T10:13:03.5604740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:13:03.5608395Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_pattern_matcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:13:03.560471] 2025-12-04T10:13:15.7978009Z 2025-12-04T10:13:15.7979065Z 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_2f3e5e0e56786091_.log 2025-12-04T10:13:15.8088695Z 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, 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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, 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, 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 2025-12-04T10:13:15.8195682Z 2025-12-04T10:13:15.8196097Z Finished inductor/test_pattern_matcher 1/1 ... [2025-12-04 10:13:15.798305][2435.125236736], took 0.20min 2025-12-04T10:13:15.8197466Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_pattern_matcher/inductor.test_pattern_matcher-16add6e77357beca.xml 2025-12-04T10:13:22.8577546Z Running inductor/test_cudagraph_trees 1/1 ... [2025-12-04 10:13:22.857347][2442.184283775] 2025-12-04T10:13:22.8578179Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:13:22.8581755Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cudagraph_trees.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:13:22.857877] 2025-12-04T10:14:01.7595894Z 2025-12-04T10:14:01.7597146Z inductor/test_torchinductor_opinfo 14/17 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_14.17_d3a02c951f11fd9b_.log 2025-12-04T10:14:01.7662975Z Running 100 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, 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, 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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_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 2025-12-04T10:14:01.7726867Z 2025-12-04T10:14:01.7727293Z Finished inductor/test_torchinductor_opinfo 14/17 ... [2025-12-04 10:14:01.759802][2481.086736854], took 1.19min 2025-12-04T10:14:01.7728757Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-c54ccb2887494be7.xml 2025-12-04T10:14:08.8615259Z Running inductor/test_cuda_select_algorithm 3/5 ... [2025-12-04 10:14:08.861119][2488.188055807] 2025-12-04T10:14:08.8615928Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:14:08.8619241Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cuda_select_algorithm.py', '-m', 'not serial', '--shard-id=3', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:14:08.861597] 2025-12-04T10:14:21.0005218Z 2025-12-04T10:14:21.0006918Z inductor/test_cuda_select_algorithm 3/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cuda_select_algorithm_3.5_81803022ebd6f51a_.log 2025-12-04T10:14:21.0048945Z 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 2025-12-04T10:14:21.0089105Z 2025-12-04T10:14:21.0089517Z Finished inductor/test_cuda_select_algorithm 3/5 ... [2025-12-04 10:14:21.000589][2500.32752085], took 0.20min 2025-12-04T10:14:21.0090992Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-895d1be7d4913893.xml 2025-12-04T10:14:27.9354335Z Running inductor/test_deterministic 2/8 ... [2025-12-04 10:14:27.935001][2507.261936706] 2025-12-04T10:14:27.9354972Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:14:27.9358016Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_deterministic.py', '-m', 'not serial', '--shard-id=2', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:14:27.935500] 2025-12-04T10:14:30.9084517Z 2025-12-04T10:14:30.9085686Z inductor/test_cudagraph_trees 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_1.1_32971ce13368b319_.log 2025-12-04T10:14:30.9128566Z Running 100 items in this shard: test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::CudaGraphTreeTests::test_multinomial, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal, test/inductor/test_cudagraph_trees.py::TestSAC::test_cudagraphs_aot_eager_compat_equal 2025-12-04T10:14:30.9171950Z 2025-12-04T10:14:30.9172372Z Finished inductor/test_cudagraph_trees 1/1 ... [2025-12-04 10:14:30.908584][2510.235516674], took 1.13min 2025-12-04T10:14:30.9173723Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cudagraph_trees/inductor.test_cudagraph_trees-991a301879d1003e.xml 2025-12-04T10:14:38.1243727Z Running inductor/test_deterministic 6/8 ... [2025-12-04 10:14:38.123962][2517.450897373] 2025-12-04T10:14:38.1244361Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:14:38.1247396Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_deterministic.py', '-m', 'not serial', '--shard-id=6', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:14:38.124436] 2025-12-04T10:14:39.7348915Z 2025-12-04T10:14:39.7350481Z inductor/test_deterministic 2/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_deterministic_2.8_8994244cc27632bc_.log 2025-12-04T10:14:39.7351644Z Running 0 items in this shard: 2025-12-04T10:14:39.7351864Z 2025-12-04T10:14:39.7352251Z Finished inductor/test_deterministic 2/8 ... [2025-12-04 10:14:39.734877][2519.061809901], took 0.20min 2025-12-04T10:14:39.7435451Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_deterministic/inductor.test_deterministic-ddadada9bda88915.xml 2025-12-04T10:14:46.9151335Z Running dynamo/test_regional_inductor 1/1 ... [2025-12-04 10:14:46.914735][2526.241671437] 2025-12-04T10:14:46.9152044Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:14:46.9155371Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_regional_inductor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:14:46.915214] 2025-12-04T10:14:49.8953429Z 2025-12-04T10:14:49.8954514Z inductor/test_deterministic 6/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_deterministic_6.8_6cdd05f0fa75c00f_.log 2025-12-04T10:14:49.8955526Z Running 0 items in this shard: 2025-12-04T10:14:49.8955746Z 2025-12-04T10:14:49.8956135Z Finished inductor/test_deterministic 6/8 ... [2025-12-04 10:14:49.895257][2529.222192703], took 0.20min 2025-12-04T10:14:49.9042233Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_deterministic/inductor.test_deterministic-7ef99b398ead0967.xml 2025-12-04T10:14:56.9418463Z Running dynamo/test_fx_graph_runnable 1/1 ... [2025-12-04 10:14:56.941471][2536.268407014] 2025-12-04T10:14:56.9419061Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:14:56.9422774Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fx_graph_runnable.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:14:56.941963] 2025-12-04T10:14:58.7616284Z 2025-12-04T10:14:58.7617543Z 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_e304eeb38c0a2185_.log 2025-12-04T10:14:58.7618547Z Running 0 items in this shard: 2025-12-04T10:14:58.7618778Z 2025-12-04T10:14:58.7619150Z Finished dynamo/test_regional_inductor 1/1 ... [2025-12-04 10:14:58.761590][2538.088526665], took 0.20min 2025-12-04T10:14:58.7707264Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-447627c838ffe8bc.xml 2025-12-04T10:15:05.6533765Z Running dynamo/test_backends 1/1 ... [2025-12-04 10:15:05.652910][2544.979845008] 2025-12-04T10:15:05.6534411Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:05.6537844Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_backends.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:15:05.653449] 2025-12-04T10:15:17.3954052Z 2025-12-04T10:15:17.3955220Z dynamo/test_backends 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backends_1.1_e0b6d3c6a06d624d_.log 2025-12-04T10:15:17.3956419Z Running 0 items in this shard: 2025-12-04T10:15:17.3956749Z 2025-12-04T10:15:17.3957256Z Finished dynamo/test_backends 1/1 ... [2025-12-04 10:15:17.395353][2556.72228672], took 0.20min 2025-12-04T10:15:17.4048695Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_backends/dynamo.test_backends-905070056ea47839.xml 2025-12-04T10:15:24.3647222Z Running inductor/test_aot_inductor_package 1/1 ... [2025-12-04 10:15:24.364270][2563.691205286] 2025-12-04T10:15:24.3647878Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:24.3650518Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor_package.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:15:24.364756] 2025-12-04T10:15:36.1303961Z 2025-12-04T10:15:36.1305686Z inductor/test_aot_inductor_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_package_1.1_c2d00d732e5387b7_.log 2025-12-04T10:15:36.1306931Z Running 0 items in this shard: 2025-12-04T10:15:36.1307266Z 2025-12-04T10:15:36.1307839Z Finished inductor/test_aot_inductor_package 1/1 ... [2025-12-04 10:15:36.130338][2575.457270638], took 0.20min 2025-12-04T10:15:36.1398864Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor_package/inductor.test_aot_inductor_package-0a96611017aa8503.xml 2025-12-04T10:15:43.3796219Z Running higher_order_ops/test_local_map 1/1 ... [2025-12-04 10:15:43.379167][2582.706103126] 2025-12-04T10:15:43.3796879Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:43.3799430Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_local_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 10:15:43.379625] 2025-12-04T10:15:50.5952897Z 2025-12-04T10:15:50.5954777Z higher_order_ops/test_local_map 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_local_map_1.1_8afb43d375546b79_.log 2025-12-04T10:15:50.5955835Z Running 0 items in this shard: 2025-12-04T10:15:50.5956073Z 2025-12-04T10:15:50.5956446Z Finished higher_order_ops/test_local_map 1/1 ... [2025-12-04 10:15:50.595245][2589.922181161], took 0.12min 2025-12-04T10:15:50.6107517Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_local_map/higher_order_ops.test_local_map-6a6713865d8ef9e0.xml 2025-12-04T10:15:57.8307718Z Running test_dataloader 1/2 ... [2025-12-04 10:15:57.830336][2597.157272934] 2025-12-04T10:15:57.8308731Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:15:57.8312214Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dataloader.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:15:57.830843] 2025-12-04T10:16:05.4835992Z 2025-12-04T10:16:05.4836986Z test_dataloader 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_dataloader_1.2_eb76f5b0eda3e132_.log 2025-12-04T10:16:05.4837859Z Running 0 items in this shard: 2025-12-04T10:16:05.4838077Z 2025-12-04T10:16:05.4838392Z Finished test_dataloader 1/2 ... [2025-12-04 10:16:05.483560][2604.810497224], took 0.13min 2025-12-04T10:16:05.4948698Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dataloader/test_dataloader-7d8b60a60fba291c.xml 2025-12-04T10:16:12.4731551Z Running test_dataloader 2/2 ... [2025-12-04 10:16:12.472663][2611.799598732] 2025-12-04T10:16:12.4732633Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:12.4736553Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dataloader.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:16:12.473195] 2025-12-04T10:16:20.2861102Z 2025-12-04T10:16:20.2862131Z test_dataloader 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_dataloader_2.2_35940680a7e01b32_.log 2025-12-04T10:16:20.2862988Z Running 0 items in this shard: 2025-12-04T10:16:20.2863209Z 2025-12-04T10:16:20.2863522Z Finished test_dataloader 2/2 ... [2025-12-04 10:16:20.286055][2619.612991765], took 0.13min 2025-12-04T10:16:20.3019591Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dataloader/test_dataloader-0bf1d9a67ba4c9e2.xml 2025-12-04T10:16:27.4653803Z Running test_decomp 5/17 ... [2025-12-04 10:16:27.464957][2626.791893885] 2025-12-04T10:16:27.4654764Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:16:27.4658238Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=5', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:16:27.465414] 2025-12-04T10:16:54.2428917Z 2025-12-04T10:16:54.2430018Z test_decomp 5/17 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_5.17_8875b7d5e1d5180d_.log 2025-12-04T10:16:54.2431045Z Running 0 items in this shard: 2025-12-04T10:16:54.2431270Z 2025-12-04T10:16:54.2431564Z Finished test_decomp 5/17 ... [2025-12-04 10:16:54.242780][2653.569716885], took 0.45min 2025-12-04T10:16:54.2535700Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-9e7f4890c7031c02.xml 2025-12-04T10:17:01.1277173Z Running test_decomp 9/17 ... [2025-12-04 10:17:01.127342][2660.454277561] 2025-12-04T10:17:01.1277717Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:01.1281010Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=9', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:17:01.127810] 2025-12-04T10:17:27.8723089Z 2025-12-04T10:17:27.8724113Z test_decomp 9/17 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_9.17_e0bfde8bb1c468c0_.log 2025-12-04T10:17:27.8725032Z Running 0 items in this shard: 2025-12-04T10:17:27.8725256Z 2025-12-04T10:17:27.8725615Z Finished test_decomp 9/17 ... [2025-12-04 10:17:27.872244][2687.199180485], took 0.45min 2025-12-04T10:17:27.8892696Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-c8c0e2858ef93cc9.xml 2025-12-04T10:17:34.9533816Z Running test_decomp 15/17 ... [2025-12-04 10:17:34.952993][2694.279925779] 2025-12-04T10:17:34.9534337Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:17:34.9538109Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=15', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:17:34.953532] 2025-12-04T10:18:01.6097761Z 2025-12-04T10:18:01.6098856Z test_decomp 15/17 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_15.17_b4577bd858bdd8e5_.log 2025-12-04T10:18:01.6099709Z Running 0 items in this shard: 2025-12-04T10:18:01.6099930Z 2025-12-04T10:18:01.6100213Z Finished test_decomp 15/17 ... [2025-12-04 10:18:01.609701][2720.936635806], took 0.44min 2025-12-04T10:18:01.6206392Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-82b77cc0e28459da.xml 2025-12-04T10:18:08.6522710Z Running test_ops_fwd_gradients 2/2 ... [2025-12-04 10:18:08.651883][2727.978818457] 2025-12-04T10:18:08.6523681Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:18:08.6527410Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:18:08.652393] 2025-12-04T10:18:23.5013834Z 2025-12-04T10:18:23.5014941Z test_ops_fwd_gradients 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_2.2_4c78648b459daa9c_.log 2025-12-04T10:18:23.5041963Z Running 50 items in this shard: test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCUDA::test_forward_mode_AD_cholesky_solve_cuda_complex128 2025-12-04T10:18:23.5067920Z 2025-12-04T10:18:23.5068260Z Finished test_ops_fwd_gradients 2/2 ... [2025-12-04 10:18:23.501473][2742.828407306], took 0.25min 2025-12-04T10:18:23.5126968Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-29a3ea2d0f294cbf.xml 2025-12-04T10:18:30.5922803Z Running test_ops_jit 1/2 ... [2025-12-04 10:18:30.591880][2749.918812414] 2025-12-04T10:18:30.5923351Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:18:30.5927379Z 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 10:18:30.592424] 2025-12-04T10:18:41.0589780Z 2025-12-04T10:18:41.0590927Z test_ops_jit 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_1.2_122b01b6e1c210a6_.log 2025-12-04T10:18:41.0591757Z Running 0 items in this shard: 2025-12-04T10:18:41.0592010Z 2025-12-04T10:18:41.0592294Z Finished test_ops_jit 1/2 ... [2025-12-04 10:18:41.058925][2760.385858772], took 0.17min 2025-12-04T10:18:41.0703912Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-4e730635247eec4b.xml 2025-12-04T10:18:48.1727463Z Running test_nestedtensor 1/4 ... [2025-12-04 10:18:48.172363][2767.499298889] 2025-12-04T10:18:48.1728048Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:18:48.1731663Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_nestedtensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:18:48.172819] 2025-12-04T10:19:00.0868174Z 2025-12-04T10:19:00.0869371Z test_nestedtensor 1/4 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_1.4_9999c7e57fda9f74_.log 2025-12-04T10:19:00.0870721Z Running 0 items in this shard: 2025-12-04T10:19:00.0870956Z 2025-12-04T10:19:00.0871268Z Finished test_nestedtensor 1/4 ... [2025-12-04 10:19:00.086752][2779.413687576], took 0.20min 2025-12-04T10:19:00.0984387Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_nestedtensor/test_nestedtensor-dd3b8ec40de250d9.xml 2025-12-04T10:19:07.1297049Z Running test_ops 2/11 ... [2025-12-04 10:19:07.129329][2786.45626475] 2025-12-04T10:19:07.1297582Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:19:07.1300862Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=2', '--num-shards=11', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:19:07.129799] 2025-12-04T10:21:00.8683997Z 2025-12-04T10:21:00.8685024Z PRINTING LOG FILE of test_ops 2/11 (test/test-reports/test_ops_2.11_ce98b93ef6135fa9_.log) 2025-12-04T10:21:00.8686496Z Test results will be stored in test-reports/python-pytest/test_ops/test_ops-6fcbedae794838ed.xml 2025-12-04T10:21:00.8687692Z ============================= test session starts ============================== 2025-12-04T10:21:00.8688848Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:21:00.8689841Z cachedir: .pytest_cache 2025-12-04T10:21:00.8690665Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:21:00.8691457Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:21:00.8691811Z configfile: pytest.ini 2025-12-04T10:21:00.8692543Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T10:21:00.8693333Z collecting ... collected 33666 items 2025-12-04T10:21:00.8693781Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T10:21:00.8719684Z Running 50 items in this shard: test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 2025-12-04T10:21:00.8745493Z 2025-12-04T10:21:00.8746012Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 FAILED [1.2481s] [ 2%] 2025-12-04T10:21:00.8747174Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6261s] [ 2%] 2025-12-04T10:21:00.8748323Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6270s] [ 2%] 2025-12-04T10:21:00.8749448Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6658s] [ 2%] 2025-12-04T10:21:00.8750687Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6182s] [ 2%] 2025-12-04T10:21:00.8751923Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6169s] [ 2%] 2025-12-04T10:21:00.8753058Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6166s] [ 2%] 2025-12-04T10:21:00.8754182Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6184s] [ 2%] 2025-12-04T10:21:00.8755312Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6522s] [ 2%] 2025-12-04T10:21:00.8756453Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6311s] [ 2%] 2025-12-04T10:21:00.8757589Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6158s] [ 2%] 2025-12-04T10:21:00.8758715Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6132s] [ 2%] 2025-12-04T10:21:00.8759851Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6088s] [ 2%] 2025-12-04T10:21:00.8760995Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6090s] [ 2%] 2025-12-04T10:21:00.8762134Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6097s] [ 2%] 2025-12-04T10:21:00.8764903Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6174s] [ 2%] 2025-12-04T10:21:00.8766050Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6136s] [ 2%] 2025-12-04T10:21:00.8767202Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6462s] [ 2%] 2025-12-04T10:21:00.8768356Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6283s] [ 2%] 2025-12-04T10:21:00.8769476Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6114s] [ 2%] 2025-12-04T10:21:00.8770680Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6147s] [ 2%] 2025-12-04T10:21:00.8771811Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6118s] [ 2%] 2025-12-04T10:21:00.8772945Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6127s] [ 2%] 2025-12-04T10:21:00.8774063Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6134s] [ 2%] 2025-12-04T10:21:00.8775208Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6143s] [ 2%] 2025-12-04T10:21:00.8776351Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6122s] [ 2%] 2025-12-04T10:21:00.8777486Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6127s] [ 2%] 2025-12-04T10:21:00.8778616Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6182s] [ 2%] 2025-12-04T10:21:00.8779755Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6603s] [ 2%] 2025-12-04T10:21:00.8780954Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6130s] [ 2%] 2025-12-04T10:21:00.8782094Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6115s] [ 2%] 2025-12-04T10:21:00.8784417Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6090s] [ 2%] 2025-12-04T10:21:00.8785556Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6194s] [ 2%] 2025-12-04T10:21:00.8786692Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6611s] [ 2%] 2025-12-04T10:21:00.8787831Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6115s] [ 2%] 2025-12-04T10:21:00.8788949Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6141s] [ 2%] 2025-12-04T10:21:00.8790081Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6096s] [ 2%] 2025-12-04T10:21:00.8791217Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6110s] [ 2%] 2025-12-04T10:21:00.8792485Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6101s] [ 2%] 2025-12-04T10:21:00.8793616Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6155s] [ 2%] 2025-12-04T10:21:00.8794751Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6147s] [ 2%] 2025-12-04T10:21:00.8795887Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6144s] [ 2%] 2025-12-04T10:21:00.8797029Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6594s] [ 2%] 2025-12-04T10:21:00.8798154Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6078s] [ 2%] 2025-12-04T10:21:00.8799297Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6111s] [ 2%] 2025-12-04T10:21:00.8800438Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6093s] [ 2%] 2025-12-04T10:21:00.8801574Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6115s] [ 2%] 2025-12-04T10:21:00.8802698Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6111s] [ 2%] 2025-12-04T10:21:00.8803913Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6143s] [ 2%] 2025-12-04T10:21:00.8805133Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6133s] [ 2%] 2025-12-04T10:21:00.8805767Z 2025-12-04T10:21:00.8805937Z =================================== FAILURES =================================== 2025-12-04T10:21:00.8806604Z _ TestFakeTensorCUDA.test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 _ 2025-12-04T10:21:00.8807244Z Traceback (most recent call last): 2025-12-04T10:21:00.8808074Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper 2025-12-04T10:21:00.8808913Z return test(*args, **kwargs) 2025-12-04T10:21:00.8809669Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1435, in only_fn 2025-12-04T10:21:00.8810472Z return fn(slf, *args, **kwargs) 2025-12-04T10:21:00.8811106Z File "/var/lib/jenkins/workspace/test/test_ops.py", line 2983, in test_fake_crossref_backward_amp 2025-12-04T10:21:00.8811906Z self._test_fake_crossref_helper(device, dtype, op, torch.cuda.amp.autocast) 2025-12-04T10:21:00.8812696Z File "/var/lib/jenkins/workspace/test/test_ops.py", line 2957, in _test_fake_crossref_helper 2025-12-04T10:21:00.8813518Z composite_compliance.compute_expected_grads( 2025-12-04T10:21:00.8814454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/composite_compliance.py", line 431, in compute_expected_grads 2025-12-04T10:21:00.8815383Z results = gradcheck_wrapper(op, *args, **kwargs) 2025-12-04T10:21:00.8816191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py", line 831, in 2025-12-04T10:21:00.8817126Z gradcheck_wrapper: Callable = lambda op, *args, **kwargs: op(*args, **kwargs) 2025-12-04T10:21:00.8818080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_utils.py", line 275, in __torch_dispatch__ 2025-12-04T10:21:00.8818831Z _check_alias_info( 2025-12-04T10:21:00.8819527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_utils.py", line 57, in _check_alias_info 2025-12-04T10:21:00.8820299Z raise MetadataMismatchError( 2025-12-04T10:21:00.8821476Z 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 2025-12-04T10:21:00.8822487Z 2025-12-04T10:21:00.8822735Z The above exception was the direct cause of the following exception: 2025-12-04T10:21:00.8823132Z 2025-12-04T10:21:00.8823262Z Traceback (most recent call last): 2025-12-04T10:21:00.8824021Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:21:00.8824772Z method(*args, **kwargs) 2025-12-04T10:21:00.8825492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:21:00.8826248Z method(*args, **kwargs) 2025-12-04T10:21:00.8827047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test 2025-12-04T10:21:00.8827898Z result = test(self, **param_kwargs) 2025-12-04T10:21:00.8828659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T10:21:00.8829410Z fn(*args, **kwargs) 2025-12-04T10:21:00.8830164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper 2025-12-04T10:21:00.8831209Z raise e_tracked from e 2025-12-04T10:21:00.8832056Z Exception: When comparing the output of aten.view.default on FakeTensor and concrete Tensors, found mismatch in outputs_alias_inputs check False != True 2025-12-04T10:21:00.8832840Z 2025-12-04T10:21:00.8834186Z 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='') 2025-12-04T10:21:00.8835694Z 2025-12-04T10:21:00.8835912Z To execute this test, run the following from the base repo dir: 2025-12-04T10:21:00.8836901Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=5 python test/test_ops.py TestFakeTensorCUDA.test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 2025-12-04T10:21:00.8837664Z 2025-12-04T10:21:00.8837933Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:21:00.8838572Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:21:00.8839691Z /var/lib/jenkins/workspace/test/test_ops.py:2954: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. 2025-12-04T10:21:00.8840693Z context(), 2025-12-04T10:21:00.8841717Z /var/lib/jenkins/workspace/test/test_ops.py:2954: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. 2025-12-04T10:21:00.8842804Z context(), 2025-12-04T10:21:00.8843701Z /var/lib/jenkins/workspace/test/test_ops.py:2954: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. 2025-12-04T10:21:00.8844685Z context(), 2025-12-04T10:21:00.8845559Z /var/lib/jenkins/workspace/test/test_ops.py:2954: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. 2025-12-04T10:21:00.8846538Z context(), 2025-12-04T10:21:00.8847425Z /var/lib/jenkins/workspace/test/test_ops.py:2954: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. 2025-12-04T10:21:00.8848401Z context(), 2025-12-04T10:21:00.8849281Z /var/lib/jenkins/workspace/test/test_ops.py:2954: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead. 2025-12-04T10:21:00.8850271Z context(), 2025-12-04T10:21:00.8850973Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-6fcbedae794838ed.xml - 2025-12-04T10:21:00.8851830Z =========================== short test summary info ============================ 2025-12-04T10:21:00.8853349Z FAILED [1.2481s] test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_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 2025-12-04T10:21:00.8854686Z 2025-12-04T10:21:00.8856028Z 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='') 2025-12-04T10:21:00.8857497Z 2025-12-04T10:21:00.8857720Z To execute this test, run the following from the base repo dir: 2025-12-04T10:21:00.8858698Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=5 python test/test_ops.py TestFakeTensorCUDA.test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 2025-12-04T10:21:00.8859460Z 2025-12-04T10:21:00.8859743Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:21:00.8860337Z =================== 1 failed, 49 passed in 92.80s (0:01:32) ==================== 2025-12-04T10:21:00.8860683Z 2025-12-04T10:21:00.8861120Z FINISHED PRINTING LOG FILE of test_ops 2/11 (test/test-reports/test_ops_2.11_ce98b93ef6135fa9_.log) 2025-12-04T10:21:00.8861618Z 2025-12-04T10:21:00.8861890Z Finished test_ops 2/11 ... [2025-12-04 10:21:00.868164][2900.195100454], took 1.90min 2025-12-04T10:21:00.8862888Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-6fcbedae794838ed.xml 2025-12-04T10:21:01.4513811Z Uploading logs for 57119749265 to S3 2025-12-04T10:21:01.4935989Z Uploading artifacts took 0.45 seconds 2025-12-04T10:21:01.4936366Z test_ops 2/11 failed! 2025-12-04T10:21:07.9291151Z Running test_ops 6/11 ... [2025-12-04 10:21:07.928738][2907.255673898] 2025-12-04T10:21:07.9291663Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:21:07.9295055Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=6', '--num-shards=11', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:21:07.929198] 2025-12-04T10:23:01.3530718Z 2025-12-04T10:23:01.3531680Z PRINTING LOG FILE of test_ops 6/11 (test/test-reports/test_ops_6.11_752fa725dc81d082_.log) 2025-12-04T10:23:01.3532717Z Test results will be stored in test-reports/python-pytest/test_ops/test_ops-1e56dc005eb14450.xml 2025-12-04T10:23:01.3533778Z ============================= test session starts ============================== 2025-12-04T10:23:01.3534682Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:23:01.3535367Z cachedir: .pytest_cache 2025-12-04T10:23:01.3536147Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:23:01.3537199Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:23:01.3537557Z configfile: pytest.ini 2025-12-04T10:23:01.3538374Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T10:23:01.3539255Z collecting ... collected 33666 items 2025-12-04T10:23:01.3539677Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T10:23:01.3566237Z 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 2025-12-04T10:23:01.3592178Z 2025-12-04T10:23:01.3592692Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 FAILED [1.2309s] [ 2%] 2025-12-04T10:23:01.3593857Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6208s] [ 2%] 2025-12-04T10:23:01.3595019Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6176s] [ 2%] 2025-12-04T10:23:01.3596162Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6117s] [ 2%] 2025-12-04T10:23:01.3597314Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6112s] [ 2%] 2025-12-04T10:23:01.3598480Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6103s] [ 2%] 2025-12-04T10:23:01.3599635Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6105s] [ 2%] 2025-12-04T10:23:01.3600776Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6095s] [ 2%] 2025-12-04T10:23:01.3601933Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6153s] [ 2%] 2025-12-04T10:23:01.3603081Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6565s] [ 2%] 2025-12-04T10:23:01.3604227Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6074s] [ 2%] 2025-12-04T10:23:01.3605433Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6121s] [ 2%] 2025-12-04T10:23:01.3606645Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6132s] [ 2%] 2025-12-04T10:23:01.3607797Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6186s] [ 2%] 2025-12-04T10:23:01.3608955Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6618s] [ 2%] 2025-12-04T10:23:01.3610097Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6167s] [ 2%] 2025-12-04T10:23:01.3611256Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6162s] [ 2%] 2025-12-04T10:23:01.3612419Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6139s] [ 2%] 2025-12-04T10:23:01.3613578Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6128s] [ 2%] 2025-12-04T10:23:01.3614722Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6117s] [ 2%] 2025-12-04T10:23:01.3615878Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6134s] [ 2%] 2025-12-04T10:23:01.3617031Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6215s] [ 2%] 2025-12-04T10:23:01.3618173Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6151s] [ 2%] 2025-12-04T10:23:01.3619313Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6651s] [ 2%] 2025-12-04T10:23:01.3620462Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6145s] [ 2%] 2025-12-04T10:23:01.3621692Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6132s] [ 2%] 2025-12-04T10:23:01.3622845Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6150s] [ 2%] 2025-12-04T10:23:01.3623999Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6143s] [ 2%] 2025-12-04T10:23:01.3625157Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6160s] [ 2%] 2025-12-04T10:23:01.3626312Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6118s] [ 2%] 2025-12-04T10:23:01.3627467Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6138s] [ 2%] 2025-12-04T10:23:01.3628627Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6134s] [ 2%] 2025-12-04T10:23:01.3629791Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6133s] [ 2%] 2025-12-04T10:23:01.3631331Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6500s] [ 2%] 2025-12-04T10:23:01.3632485Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6425s] [ 2%] 2025-12-04T10:23:01.3633629Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6107s] [ 2%] 2025-12-04T10:23:01.3634776Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6072s] [ 2%] 2025-12-04T10:23:01.3636059Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6078s] [ 2%] 2025-12-04T10:23:01.3637326Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6134s] [ 2%] 2025-12-04T10:23:01.3638475Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6606s] [ 2%] 2025-12-04T10:23:01.3639634Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6101s] [ 2%] 2025-12-04T10:23:01.3640790Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6112s] [ 2%] 2025-12-04T10:23:01.3641950Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6074s] [ 2%] 2025-12-04T10:23:01.3643112Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6053s] [ 2%] 2025-12-04T10:23:01.3644268Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6056s] [ 2%] 2025-12-04T10:23:01.3645435Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6119s] [ 2%] 2025-12-04T10:23:01.3646594Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6092s] [ 2%] 2025-12-04T10:23:01.3647751Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6119s] [ 2%] 2025-12-04T10:23:01.3648887Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6573s] [ 2%] 2025-12-04T10:23:01.3650039Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6084s] [ 2%] 2025-12-04T10:23:01.3650688Z 2025-12-04T10:23:01.3650856Z =================================== FAILURES =================================== 2025-12-04T10:23:01.3651540Z _ TestFakeTensorCUDA.test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 _ 2025-12-04T10:23:01.3652168Z Traceback (most recent call last): 2025-12-04T10:23:01.3653001Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper 2025-12-04T10:23:01.3653890Z return test(*args, **kwargs) 2025-12-04T10:23:01.3654800Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1435, in only_fn 2025-12-04T10:23:01.3655688Z return fn(slf, *args, **kwargs) 2025-12-04T10:23:01.3656330Z File "/var/lib/jenkins/workspace/test/test_ops.py", line 2973, in test_fake_crossref_backward_no_amp 2025-12-04T10:23:01.3657149Z self._test_fake_crossref_helper(device, dtype, op, contextlib.nullcontext) 2025-12-04T10:23:01.3657928Z File "/var/lib/jenkins/workspace/test/test_ops.py", line 2957, in _test_fake_crossref_helper 2025-12-04T10:23:01.3658602Z composite_compliance.compute_expected_grads( 2025-12-04T10:23:01.3659543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/composite_compliance.py", line 431, in compute_expected_grads 2025-12-04T10:23:01.3660484Z results = gradcheck_wrapper(op, *args, **kwargs) 2025-12-04T10:23:01.3661344Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py", line 831, in 2025-12-04T10:23:01.3662283Z gradcheck_wrapper: Callable = lambda op, *args, **kwargs: op(*args, **kwargs) 2025-12-04T10:23:01.3663239Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_utils.py", line 275, in __torch_dispatch__ 2025-12-04T10:23:01.3663993Z _check_alias_info( 2025-12-04T10:23:01.3664680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_utils.py", line 57, in _check_alias_info 2025-12-04T10:23:01.3665622Z raise MetadataMismatchError( 2025-12-04T10:23:01.3666719Z 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 2025-12-04T10:23:01.3667713Z 2025-12-04T10:23:01.3667957Z The above exception was the direct cause of the following exception: 2025-12-04T10:23:01.3668359Z 2025-12-04T10:23:01.3668487Z Traceback (most recent call last): 2025-12-04T10:23:01.3669243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:23:01.3670006Z method(*args, **kwargs) 2025-12-04T10:23:01.3670715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T10:23:01.3671478Z method(*args, **kwargs) 2025-12-04T10:23:01.3672281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test 2025-12-04T10:23:01.3673151Z result = test(self, **param_kwargs) 2025-12-04T10:23:01.3673905Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper 2025-12-04T10:23:01.3674656Z fn(*args, **kwargs) 2025-12-04T10:23:01.3675406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper 2025-12-04T10:23:01.3676206Z raise e_tracked from e 2025-12-04T10:23:01.3677041Z Exception: When comparing the output of aten.view.default on FakeTensor and concrete Tensors, found mismatch in outputs_alias_inputs check False != True 2025-12-04T10:23:01.3677820Z 2025-12-04T10:23:01.3679163Z 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='') 2025-12-04T10:23:01.3680659Z 2025-12-04T10:23:01.3680877Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:01.3681870Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=5 python test/test_ops.py TestFakeTensorCUDA.test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 2025-12-04T10:23:01.3682650Z 2025-12-04T10:23:01.3682929Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:01.3683863Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-1e56dc005eb14450.xml - 2025-12-04T10:23:01.3684717Z =========================== short test summary info ============================ 2025-12-04T10:23:01.3686242Z FAILED [1.2309s] 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 2025-12-04T10:23:01.3687576Z 2025-12-04T10:23:01.3688919Z 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='') 2025-12-04T10:23:01.3690383Z 2025-12-04T10:23:01.3690611Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:01.3691593Z PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=5 python test/test_ops.py TestFakeTensorCUDA.test_fake_crossref_backward_no_amp_nn_functional_bilinear_cuda_float32 2025-12-04T10:23:01.3692381Z 2025-12-04T10:23:01.3692648Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:01.3693251Z =================== 1 failed, 49 passed in 92.77s (0:01:32) ==================== 2025-12-04T10:23:01.3693711Z 2025-12-04T10:23:01.3694092Z FINISHED PRINTING LOG FILE of test_ops 6/11 (test/test-reports/test_ops_6.11_752fa725dc81d082_.log) 2025-12-04T10:23:01.3694597Z 2025-12-04T10:23:01.3694849Z Finished test_ops 6/11 ... [2025-12-04 10:23:01.353042][3020.679971393], took 1.89min 2025-12-04T10:23:01.3695868Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-1e56dc005eb14450.xml 2025-12-04T10:23:01.7865501Z Uploading logs for 57119749265 to S3 2025-12-04T10:23:01.8292206Z Uploading artifacts took 0.38 seconds 2025-12-04T10:23:01.8292586Z test_ops 6/11 failed! 2025-12-04T10:23:08.4324836Z Running functorch/test_dims 1/1 ... [2025-12-04 10:23:08.432097][3027.759033061] 2025-12-04T10:23:08.4325411Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:23:08.4328622Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_dims.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:23:08.432574] 2025-12-04T10:23:52.1643416Z 2025-12-04T10:23:52.1644795Z PRINTING LOG FILE of functorch/test_dims 1/1 (test/test-reports/functorch.test_dims_1.1_41e9b68328f660bb_.log) 2025-12-04T10:23:52.1646075Z Test results will be stored in test-reports/python-pytest/functorch.test_dims/functorch.test_dims-aed073f7689b7ab7.xml 2025-12-04T10:23:52.1647339Z ============================= test session starts ============================== 2025-12-04T10:23:52.1648317Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:23:52.1649349Z cachedir: .pytest_cache 2025-12-04T10:23:52.1650536Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:23:52.1651885Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:23:52.1652339Z configfile: pytest.ini 2025-12-04T10:23:52.1653452Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T10:23:52.1654733Z collecting ... collected 68 items 2025-12-04T10:23:52.1655437Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T10:23:52.1674118Z Running 50 items in this shard: test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda, test/functorch/test_dims.py::TestMin::test_attn_cuda 2025-12-04T10:23:52.1687360Z 2025-12-04T10:23:52.1687674Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [1.7954s] [ 2%] 2025-12-04T10:23:52.1688364Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0002s] [ 2%] 2025-12-04T10:23:52.1689057Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.7393s] [ 2%] 2025-12-04T10:23:52.1689743Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1690428Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.8112s] [ 2%] 2025-12-04T10:23:52.1691102Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1691788Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.7404s] [ 2%] 2025-12-04T10:23:52.1692474Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1693155Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.7261s] [ 2%] 2025-12-04T10:23:52.1693846Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1694534Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6953s] [ 2%] 2025-12-04T10:23:52.1695215Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1695889Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.7531s] [ 2%] 2025-12-04T10:23:52.1696579Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0003s] [ 2%] 2025-12-04T10:23:52.1697267Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.7201s] [ 2%] 2025-12-04T10:23:52.1697943Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1698631Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6923s] [ 2%] 2025-12-04T10:23:52.1699317Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1700018Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.7160s] [ 2%] 2025-12-04T10:23:52.1700690Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1701474Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6805s] [ 2%] 2025-12-04T10:23:52.1702167Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0002s] [ 2%] 2025-12-04T10:23:52.1702858Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6754s] [ 2%] 2025-12-04T10:23:52.1703533Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1704224Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6861s] [ 2%] 2025-12-04T10:23:52.1704913Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1705585Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.7099s] [ 2%] 2025-12-04T10:23:52.1706384Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1707153Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.7067s] [ 2%] 2025-12-04T10:23:52.1707836Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1708509Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.7369s] [ 2%] 2025-12-04T10:23:52.1709199Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1709891Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6944s] [ 2%] 2025-12-04T10:23:52.1710567Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1711250Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6916s] [ 2%] 2025-12-04T10:23:52.1711931Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1712611Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.7192s] [ 2%] 2025-12-04T10:23:52.1713292Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1713978Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6845s] [ 2%] 2025-12-04T10:23:52.1714661Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1715342Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6996s] [ 2%] 2025-12-04T10:23:52.1716011Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1716697Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.7154s] [ 2%] 2025-12-04T10:23:52.1717384Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1718054Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.7015s] [ 2%] 2025-12-04T10:23:52.1718743Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1719438Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6978s] [ 2%] 2025-12-04T10:23:52.1720126Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1720795Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.7511s] [ 2%] 2025-12-04T10:23:52.1721478Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0002s] [ 2%] 2025-12-04T10:23:52.1722160Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6817s] [ 2%] 2025-12-04T10:23:52.1722831Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0002s] [ 2%] 2025-12-04T10:23:52.1723515Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6982s] [ 2%] 2025-12-04T10:23:52.1724196Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1724880Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6956s] [ 2%] 2025-12-04T10:23:52.1725555Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1726242Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.7745s] [ 2%] 2025-12-04T10:23:52.1726924Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1727597Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6908s] [ 2%] 2025-12-04T10:23:52.1728281Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1728961Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6888s] [ 2%] 2025-12-04T10:23:52.1729648Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1730320Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6769s] [ 2%] 2025-12-04T10:23:52.1731231Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1731920Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.7012s] [ 2%] 2025-12-04T10:23:52.1732887Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1733568Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6781s] [ 2%] 2025-12-04T10:23:52.1734298Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0002s] [ 2%] 2025-12-04T10:23:52.1735082Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6981s] [ 2%] 2025-12-04T10:23:52.1735758Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0002s] [ 2%] 2025-12-04T10:23:52.1736443Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.7007s] [ 2%] 2025-12-04T10:23:52.1737129Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1737818Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.7512s] [ 2%] 2025-12-04T10:23:52.1738491Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1739192Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6945s] [ 2%] 2025-12-04T10:23:52.1739880Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1740547Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6977s] [ 2%] 2025-12-04T10:23:52.1741304Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1741991Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6843s] [ 2%] 2025-12-04T10:23:52.1742679Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1743411Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6989s] [ 2%] 2025-12-04T10:23:52.1744098Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1744781Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.7015s] [ 2%] 2025-12-04T10:23:52.1745461Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1746141Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6900s] [ 2%] 2025-12-04T10:23:52.1746822Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1747505Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6909s] [ 2%] 2025-12-04T10:23:52.1748177Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1748859Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6898s] [ 2%] 2025-12-04T10:23:52.1749543Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0002s] [ 2%] 2025-12-04T10:23:52.1750226Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.7800s] [ 2%] 2025-12-04T10:23:52.1750899Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1751593Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6912s] [ 2%] 2025-12-04T10:23:52.1752285Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1752954Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6825s] [ 2%] 2025-12-04T10:23:52.1753639Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0001s] [ 2%] 2025-12-04T10:23:52.1754320Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6968s] [ 2%] 2025-12-04T10:23:52.1755002Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0002s] [ 2%] 2025-12-04T10:23:52.1755669Z functorch/test_dims.py::TestMin::test_attn_cuda FAILED [0.6878s] [ 2%] 2025-12-04T10:23:52.1756349Z functorch/test_dims.py::TestMin::test_attn_cuda ERROR [0.0007s] [ 2%] 2025-12-04T10:23:52.1756755Z 2025-12-04T10:23:52.1756913Z ==================================== ERRORS ==================================== 2025-12-04T10:23:52.1757443Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.1758120Z Traceback (most recent call last): 2025-12-04T10:23:52.1758712Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.1759308Z import refcycle 2025-12-04T10:23:52.1759636Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.1760186Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1761317Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1762421Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1763507Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1764593Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.1765136Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.1765650Z Traceback (most recent call last): 2025-12-04T10:23:52.1766230Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.1766811Z import refcycle 2025-12-04T10:23:52.1767154Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.1767675Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1768805Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1769889Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1770986Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1772068Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.1772587Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1773714Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1774795Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1775352Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.1775844Z Traceback (most recent call last): 2025-12-04T10:23:52.1776424Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.1777005Z import refcycle 2025-12-04T10:23:52.1777340Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.1777843Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1778978Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1780073Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1781224Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1782308Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.1782833Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1783961Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1785042Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1785600Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.1786111Z Traceback (most recent call last): 2025-12-04T10:23:52.1786854Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.1787434Z import refcycle 2025-12-04T10:23:52.1787767Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.1788274Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1789389Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1790485Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1791560Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1792629Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.1793137Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1794273Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1795364Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1795915Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.1796405Z Traceback (most recent call last): 2025-12-04T10:23:52.1796986Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.1797578Z import refcycle 2025-12-04T10:23:52.1797956Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.1798497Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1799702Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1800811Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1801886Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1802962Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.1803482Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1804594Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1805682Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1806235Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.1806741Z Traceback (most recent call last): 2025-12-04T10:23:52.1807303Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.1807901Z import refcycle 2025-12-04T10:23:52.1808230Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.1808733Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1809861Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1810944Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1812022Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1813084Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.1813608Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1814827Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1815993Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1816535Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.1817038Z Traceback (most recent call last): 2025-12-04T10:23:52.1817621Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.1818208Z import refcycle 2025-12-04T10:23:52.1818530Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.1819044Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1820181Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1821324Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1822413Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1823491Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.1824020Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1825135Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1826229Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1826787Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.1827293Z Traceback (most recent call last): 2025-12-04T10:23:52.1827859Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.1828448Z import refcycle 2025-12-04T10:23:52.1828779Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.1829291Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1830426Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1831726Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1832822Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1833886Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.1834416Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1835543Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1836641Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1837188Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.1837697Z Traceback (most recent call last): 2025-12-04T10:23:52.1838279Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.1838852Z import refcycle 2025-12-04T10:23:52.1839189Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.1839706Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1840827Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1841922Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1843150Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1844316Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.1844828Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1845965Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1847060Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1847622Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.1848115Z Traceback (most recent call last): 2025-12-04T10:23:52.1848698Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.1849280Z import refcycle 2025-12-04T10:23:52.1849603Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.1850119Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1851250Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1852337Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1853412Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1854494Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.1855016Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1856140Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1857219Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1857780Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.1858288Z Traceback (most recent call last): 2025-12-04T10:23:52.1858856Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.1859446Z import refcycle 2025-12-04T10:23:52.1880695Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.1881258Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1882412Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1883496Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1884593Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1885676Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.1886235Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1887352Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1888434Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1888994Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.1889498Z Traceback (most recent call last): 2025-12-04T10:23:52.1890063Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.1890641Z import refcycle 2025-12-04T10:23:52.1890977Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.1891480Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1892744Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1893903Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1895112Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1896157Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.1896673Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1897788Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1898860Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1899400Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.1899902Z Traceback (most recent call last): 2025-12-04T10:23:52.1900492Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.1901134Z import refcycle 2025-12-04T10:23:52.1901475Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.1901988Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1903114Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1904192Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1905274Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1906353Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.1906868Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1908005Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1909091Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1909651Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.1910148Z Traceback (most recent call last): 2025-12-04T10:23:52.1910734Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.1911321Z import refcycle 2025-12-04T10:23:52.1911642Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.1912155Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1913290Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1914387Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1915461Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1916545Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.1917068Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1918200Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1919276Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1919833Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.1920334Z Traceback (most recent call last): 2025-12-04T10:23:52.1920900Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.1921647Z import refcycle 2025-12-04T10:23:52.1921988Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.1922498Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1923610Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1924701Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1925785Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1926864Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.1927378Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1928647Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1929756Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1930309Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.1931006Z Traceback (most recent call last): 2025-12-04T10:23:52.1931592Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.1932185Z import refcycle 2025-12-04T10:23:52.1932511Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.1933030Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1934157Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1935253Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1936335Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1937421Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.1937944Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1939113Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1940267Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1940892Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.1941401Z Traceback (most recent call last): 2025-12-04T10:23:52.1941976Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.1942570Z import refcycle 2025-12-04T10:23:52.1942926Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.1943438Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1944573Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1945664Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1946754Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1947832Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.1948359Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1949489Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1950864Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1951413Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.1951923Z Traceback (most recent call last): 2025-12-04T10:23:52.1952506Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.1953081Z import refcycle 2025-12-04T10:23:52.1953423Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.1953938Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1955069Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1956148Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1957235Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1958315Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.1958840Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1959956Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1961046Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1961605Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.1962093Z Traceback (most recent call last): 2025-12-04T10:23:52.1962666Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.1963253Z import refcycle 2025-12-04T10:23:52.1963591Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.1964096Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1965234Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1966320Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1967404Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1968471Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.1968994Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1970120Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1971190Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1971754Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.1972264Z Traceback (most recent call last): 2025-12-04T10:23:52.1972846Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.1973416Z import refcycle 2025-12-04T10:23:52.1973752Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.1974261Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1975380Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1976470Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1977559Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1978628Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.1979277Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1980415Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1981588Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1982152Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.1982649Z Traceback (most recent call last): 2025-12-04T10:23:52.1983235Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.1983827Z import refcycle 2025-12-04T10:23:52.1984150Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.1984662Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1985801Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1986891Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1987960Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1989031Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.1989557Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1990689Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1991770Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1992330Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.1992838Z Traceback (most recent call last): 2025-12-04T10:23:52.1993415Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.1994003Z import refcycle 2025-12-04T10:23:52.1994339Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.1994856Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.1995969Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1997055Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.1998141Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.1999219Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.1999732Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2000865Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2001955Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2002506Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2003010Z Traceback (most recent call last): 2025-12-04T10:23:52.2003592Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2004183Z import refcycle 2025-12-04T10:23:52.2004506Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2005023Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2006155Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2007392Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2008486Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2009567Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2010088Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2011208Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2012303Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2012859Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2013365Z Traceback (most recent call last): 2025-12-04T10:23:52.2013938Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2014530Z import refcycle 2025-12-04T10:23:52.2014866Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2015366Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2016490Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2017579Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2018664Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2019733Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2020257Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2021465Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2022563Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2023109Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2023619Z Traceback (most recent call last): 2025-12-04T10:23:52.2024207Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2024778Z import refcycle 2025-12-04T10:23:52.2025113Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2025626Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2026757Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2027837Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2028940Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2030020Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2030735Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2031866Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2032957Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2033516Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2034021Z Traceback (most recent call last): 2025-12-04T10:23:52.2034584Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2035174Z import refcycle 2025-12-04T10:23:52.2035732Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2036237Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2037369Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2038457Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2039545Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2040615Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2041143Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2042270Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2043362Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2043908Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2044411Z Traceback (most recent call last): 2025-12-04T10:23:52.2044990Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2045562Z import refcycle 2025-12-04T10:23:52.2045897Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2046409Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2047539Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2048613Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2049693Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2050779Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2051297Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2052405Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2053495Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2054048Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2054532Z Traceback (most recent call last): 2025-12-04T10:23:52.2055110Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2055691Z import refcycle 2025-12-04T10:23:52.2056020Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2056524Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2057650Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2058731Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2059801Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2060951Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2061472Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2062600Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2063678Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2064403Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2064906Z Traceback (most recent call last): 2025-12-04T10:23:52.2065483Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2066059Z import refcycle 2025-12-04T10:23:52.2066397Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2066911Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2068022Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2069104Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2070177Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2071261Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2071771Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2072905Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2073988Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2074534Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2075023Z Traceback (most recent call last): 2025-12-04T10:23:52.2075595Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2076179Z import refcycle 2025-12-04T10:23:52.2076495Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2077001Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2078130Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2079220Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2080289Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2081364Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2081883Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2083000Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2084072Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2084620Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2085132Z Traceback (most recent call last): 2025-12-04T10:23:52.2085692Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2086276Z import refcycle 2025-12-04T10:23:52.2086609Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2087117Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2088225Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2089309Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2090393Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2091453Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2092043Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2093238Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2094329Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2094870Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2095371Z Traceback (most recent call last): 2025-12-04T10:23:52.2095948Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2096527Z import refcycle 2025-12-04T10:23:52.2096851Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2097363Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2098488Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2099566Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2100650Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2101806Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2102334Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2103453Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2104540Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2105097Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2105597Z Traceback (most recent call last): 2025-12-04T10:23:52.2106164Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2106763Z import refcycle 2025-12-04T10:23:52.2107105Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2107606Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2108747Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2109895Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2111038Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2112101Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2112628Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2113766Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2114865Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2115405Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2115913Z Traceback (most recent call last): 2025-12-04T10:23:52.2116494Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2117065Z import refcycle 2025-12-04T10:23:52.2117400Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2117914Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2119044Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2120109Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2121558Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2122646Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2123161Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2124286Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2125376Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2125935Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2126429Z Traceback (most recent call last): 2025-12-04T10:23:52.2127003Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2127587Z import refcycle 2025-12-04T10:23:52.2127923Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2128435Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2129568Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2130830Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2131909Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2132989Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2133518Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2134654Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2135740Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2136294Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2136800Z Traceback (most recent call last): 2025-12-04T10:23:52.2137381Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2137953Z import refcycle 2025-12-04T10:23:52.2138288Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2138806Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2139923Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2141083Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2142185Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2143279Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2143793Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2144921Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2146004Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2146560Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2147058Z Traceback (most recent call last): 2025-12-04T10:23:52.2147637Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2148225Z import refcycle 2025-12-04T10:23:52.2148547Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2149196Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2150410Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2151505Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2152580Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2153659Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2154186Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2155301Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2156390Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2156955Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2157458Z Traceback (most recent call last): 2025-12-04T10:23:52.2158022Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2158610Z import refcycle 2025-12-04T10:23:52.2158941Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2159441Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2160567Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2161662Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2162745Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2163830Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2164352Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2165489Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2166572Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2167122Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2167633Z Traceback (most recent call last): 2025-12-04T10:23:52.2168214Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2168794Z import refcycle 2025-12-04T10:23:52.2169125Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2169639Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2170774Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2171859Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2172947Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2174024Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2174547Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2175661Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2176749Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2177319Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2177994Z Traceback (most recent call last): 2025-12-04T10:23:52.2178567Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2179164Z import refcycle 2025-12-04T10:23:52.2179507Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2180010Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2181225Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2182317Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2183408Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2184478Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2185017Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2186159Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2187259Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2187806Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2188319Z Traceback (most recent call last): 2025-12-04T10:23:52.2188900Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2189474Z import refcycle 2025-12-04T10:23:52.2189815Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2190332Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2191459Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2192562Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2193653Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2194732Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2195240Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2196367Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2197461Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2198011Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2198501Z Traceback (most recent call last): 2025-12-04T10:23:52.2199085Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2199678Z import refcycle 2025-12-04T10:23:52.2199997Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2200509Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2201644Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2202737Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2203815Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2204890Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2205409Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2206629Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2207770Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2208321Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2208821Z Traceback (most recent call last): 2025-12-04T10:23:52.2209386Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2209966Z import refcycle 2025-12-04T10:23:52.2210302Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2210812Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2211929Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2213016Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2214115Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2215194Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2215703Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2216826Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2217907Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2218447Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2218947Z Traceback (most recent call last): 2025-12-04T10:23:52.2219520Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2220105Z import refcycle 2025-12-04T10:23:52.2220429Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2221011Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2222137Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2223224Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2224295Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2225376Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2225897Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2227018Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2228109Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2228672Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2229171Z Traceback (most recent call last): 2025-12-04T10:23:52.2229740Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2230326Z import refcycle 2025-12-04T10:23:52.2230866Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2231369Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2232503Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2233591Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2234809Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2235965Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2236486Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2237612Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2238699Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2239243Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2239748Z Traceback (most recent call last): 2025-12-04T10:23:52.2240327Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2240902Z import refcycle 2025-12-04T10:23:52.2241237Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2241763Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2242900Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2243984Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2245063Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2246141Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2246664Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2247779Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2248862Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2249427Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2249918Z Traceback (most recent call last): 2025-12-04T10:23:52.2250503Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2251087Z import refcycle 2025-12-04T10:23:52.2251429Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2251935Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2253069Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2254158Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2255244Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2256317Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2256848Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2257978Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2259056Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2259621Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2260133Z Traceback (most recent call last): 2025-12-04T10:23:52.2260719Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2261362Z import refcycle 2025-12-04T10:23:52.2261707Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2262222Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2263480Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2264584Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2265674Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2266755Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2267266Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2268396Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2269491Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2270049Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2270548Z Traceback (most recent call last): 2025-12-04T10:23:52.2271126Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2271706Z import refcycle 2025-12-04T10:23:52.2272031Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2272540Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2273678Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2274766Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2275833Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2276917Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2277455Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2278587Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2279660Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2280217Z _________________ ERROR at teardown of TestMin.test_attn_cuda __________________ 2025-12-04T10:23:52.2280722Z Traceback (most recent call last): 2025-12-04T10:23:52.2281290Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 109, in tearDown 2025-12-04T10:23:52.2281872Z import refcycle 2025-12-04T10:23:52.2282207Z ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.2282719Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2283844Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2284936Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2286023Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2287105Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2287617Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2288744Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2289833Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2290287Z =================================== FAILURES =================================== 2025-12-04T10:23:52.2290797Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2291441Z Traceback (most recent call last): 2025-12-04T10:23:52.2292061Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2292665Z self.attn( 2025-12-04T10:23:52.2293144Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2293715Z a_out = A(hidden_state) 2025-12-04T10:23:52.2294429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2295212Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2295942Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2296670Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2297236Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2297946Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2298746Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2299470Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2300262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2301223Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2302116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2302900Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2306058Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 982.64 MiB is allocated by PyTorch, and 19.36 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) 2025-12-04T10:23:52.2309093Z 2025-12-04T10:23:52.2309315Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2309882Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2310219Z 2025-12-04T10:23:52.2310501Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2311135Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2312271Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2313375Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2314467Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2315557Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2316065Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2316545Z Traceback (most recent call last): 2025-12-04T10:23:52.2317161Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2317758Z self.attn( 2025-12-04T10:23:52.2318237Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2318807Z a_out = A(hidden_state) 2025-12-04T10:23:52.2319596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2320438Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2321165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2321896Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2322459Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2323173Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2323970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2324695Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2325468Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2326327Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2327235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2328040Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2331394Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2334413Z 2025-12-04T10:23:52.2334660Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2335216Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2335573Z 2025-12-04T10:23:52.2335843Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2336481Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2337618Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2338720Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2339813Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2340963Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2341494Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2342630Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2343733Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2344270Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2344738Z Traceback (most recent call last): 2025-12-04T10:23:52.2345358Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2345974Z self.attn( 2025-12-04T10:23:52.2346444Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2347015Z a_out = A(hidden_state) 2025-12-04T10:23:52.2347744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2348793Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2349503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2350231Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2350809Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2351503Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2352303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2353029Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2353816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2354673Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2355561Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2356372Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2359518Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2362475Z 2025-12-04T10:23:52.2362708Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2363272Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2363627Z 2025-12-04T10:23:52.2363896Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2364531Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2366099Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2367186Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2368276Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2369356Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2369882Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2371009Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2372109Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2372645Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2373129Z Traceback (most recent call last): 2025-12-04T10:23:52.2373728Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2374347Z self.attn( 2025-12-04T10:23:52.2374823Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2375378Z a_out = A(hidden_state) 2025-12-04T10:23:52.2376104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2376887Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2377684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2378486Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2379066Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2379776Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2380560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2381375Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2382165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2383028Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2383901Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2384713Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2387857Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2390857Z 2025-12-04T10:23:52.2391076Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2391638Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2391982Z 2025-12-04T10:23:52.2392259Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2392888Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2394034Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2395125Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2396198Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2397280Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2397808Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2398938Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2400028Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2400561Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2401042Z Traceback (most recent call last): 2025-12-04T10:23:52.2401654Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2402260Z self.attn( 2025-12-04T10:23:52.2402735Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2403306Z a_out = A(hidden_state) 2025-12-04T10:23:52.2404012Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2404802Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2405530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2406406Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2406967Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2407671Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2408467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2409182Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2409966Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2410831Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2411724Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2412514Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2415651Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2418648Z 2025-12-04T10:23:52.2418867Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2419435Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2419773Z 2025-12-04T10:23:52.2420058Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2420687Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2421913Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2423022Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2424113Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2425193Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2425725Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2426860Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2427971Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2428499Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2428986Z Traceback (most recent call last): 2025-12-04T10:23:52.2429600Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2430203Z self.attn( 2025-12-04T10:23:52.2430849Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2431427Z a_out = A(hidden_state) 2025-12-04T10:23:52.2432208Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2433113Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2433841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2434573Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2436427Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2437139Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2437937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2438663Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2439437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2440301Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2441188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2441988Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2445132Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2448151Z 2025-12-04T10:23:52.2448373Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2448938Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2449288Z 2025-12-04T10:23:52.2449560Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2450199Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2451345Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2452448Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2453534Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2454617Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2455130Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2456259Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2457354Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2457891Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2458364Z Traceback (most recent call last): 2025-12-04T10:23:52.2458976Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2459593Z self.attn( 2025-12-04T10:23:52.2460057Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2460631Z a_out = A(hidden_state) 2025-12-04T10:23:52.2461446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2462225Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2462957Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2463694Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2464280Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2465127Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2465934Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2466677Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2467465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2468315Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2469202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2469998Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2473146Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2476114Z 2025-12-04T10:23:52.2476346Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2476896Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2477246Z 2025-12-04T10:23:52.2477514Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2478145Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2479293Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2480381Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2481473Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2482548Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2483074Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2484192Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2485286Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2485816Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2486292Z Traceback (most recent call last): 2025-12-04T10:23:52.2486909Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2487521Z self.attn( 2025-12-04T10:23:52.2487993Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2488554Z a_out = A(hidden_state) 2025-12-04T10:23:52.2489276Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2490062Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2490778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2491507Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2492084Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2492789Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2493725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2494456Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2495240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2496085Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2496974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2497765Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2500985Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2503986Z 2025-12-04T10:23:52.2504222Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2504799Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2505138Z 2025-12-04T10:23:52.2505410Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2506045Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2507188Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2508301Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2509381Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2510473Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2511003Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2512124Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2513226Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2513763Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2514254Z Traceback (most recent call last): 2025-12-04T10:23:52.2514866Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2515491Z self.attn( 2025-12-04T10:23:52.2515976Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2516538Z a_out = A(hidden_state) 2025-12-04T10:23:52.2517265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2518059Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2518785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2519500Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2520080Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2520785Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2521640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2522428Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2523217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2524078Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2524952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2525755Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2528901Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2532058Z 2025-12-04T10:23:52.2532282Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2532842Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2533179Z 2025-12-04T10:23:52.2533461Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2534079Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2535219Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2536323Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2537407Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2538492Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2538726Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2539484Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2539670Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2539895Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2540020Z Traceback (most recent call last): 2025-12-04T10:23:52.2540402Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2540500Z self.attn( 2025-12-04T10:23:52.2540875Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2541004Z a_out = A(hidden_state) 2025-12-04T10:23:52.2541518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2541648Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2542124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2542250Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2542582Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2542819Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2543235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2543416Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2544097Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2544335Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2544861Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2545006Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2547897Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2547908Z 2025-12-04T10:23:52.2548127Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2548351Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2548357Z 2025-12-04T10:23:52.2548626Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2548847Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2549637Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2549824Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2550606Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2550784Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2551002Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2551780Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2551962Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2552185Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2552311Z Traceback (most recent call last): 2025-12-04T10:23:52.2552682Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2552792Z self.attn( 2025-12-04T10:23:52.2553107Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2553227Z a_out = A(hidden_state) 2025-12-04T10:23:52.2553751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2553883Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2554355Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2554479Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2554797Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2555047Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2555464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2555632Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2556193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2556485Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2557006Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2557151Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2560013Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2560023Z 2025-12-04T10:23:52.2560241Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2560451Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2560468Z 2025-12-04T10:23:52.2560733Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2560953Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2561742Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2561928Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2562692Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2562887Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2563104Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2563883Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2564065Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2564278Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2564414Z Traceback (most recent call last): 2025-12-04T10:23:52.2564786Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2564894Z self.attn( 2025-12-04T10:23:52.2565208Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2565319Z a_out = A(hidden_state) 2025-12-04T10:23:52.2565853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2565983Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2566445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2566580Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2566897Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2567146Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2567560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2567726Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2568226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2568590Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2569102Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2569260Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2572140Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2572170Z 2025-12-04T10:23:52.2572391Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2572600Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2572605Z 2025-12-04T10:23:52.2572885Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2573107Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2573897Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2574081Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2574853Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2575042Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2575269Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2576030Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2576228Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2576439Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2576578Z Traceback (most recent call last): 2025-12-04T10:23:52.2576950Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2577048Z self.attn( 2025-12-04T10:23:52.2577374Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2577483Z a_out = A(hidden_state) 2025-12-04T10:23:52.2577998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2591760Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2592350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2592485Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2592832Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2593074Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2593512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2593684Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2594171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2594420Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2595181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2595344Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2598212Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2598223Z 2025-12-04T10:23:52.2598464Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2598679Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2598685Z 2025-12-04T10:23:52.2598957Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2599201Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2599981Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2600186Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2600951Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2601127Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2601362Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2602138Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2602342Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2602557Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2602684Z Traceback (most recent call last): 2025-12-04T10:23:52.2603074Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2603173Z self.attn( 2025-12-04T10:23:52.2603490Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2603619Z a_out = A(hidden_state) 2025-12-04T10:23:52.2604135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2604282Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2604749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2604876Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2605208Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2605449Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2605863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2606044Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2606532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2606780Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2607394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2607600Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2610481Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2610488Z 2025-12-04T10:23:52.2610709Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2610932Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2610946Z 2025-12-04T10:23:52.2611219Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2611457Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2612233Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2612421Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2613207Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2613382Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2613620Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2614390Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2614577Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2614803Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2614931Z Traceback (most recent call last): 2025-12-04T10:23:52.2615316Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2615414Z self.attn( 2025-12-04T10:23:52.2615733Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2615860Z a_out = A(hidden_state) 2025-12-04T10:23:52.2616377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2616511Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2616986Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2617115Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2617448Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2617685Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2618105Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2618286Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2618771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2619007Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2619535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2619685Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2622809Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2622818Z 2025-12-04T10:23:52.2623038Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2623261Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2623266Z 2025-12-04T10:23:52.2623535Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2623762Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2624553Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2624737Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2625511Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2625685Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2625909Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2626681Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2626873Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2627083Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2627219Z Traceback (most recent call last): 2025-12-04T10:23:52.2627590Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2627691Z self.attn( 2025-12-04T10:23:52.2628018Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2628130Z a_out = A(hidden_state) 2025-12-04T10:23:52.2628657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2628789Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2629248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2629384Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2629711Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2629949Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2630375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2630715Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2631223Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2631458Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2631969Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2632127Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2635160Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2635258Z 2025-12-04T10:23:52.2635478Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2635685Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2635690Z 2025-12-04T10:23:52.2635972Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2636200Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2636980Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2637177Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2637937Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2638124Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2638342Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2639102Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2639297Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2639519Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2639661Z Traceback (most recent call last): 2025-12-04T10:23:52.2640036Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2640136Z self.attn( 2025-12-04T10:23:52.2640464Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2640574Z a_out = A(hidden_state) 2025-12-04T10:23:52.2641091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2641235Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2641693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2641830Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2642152Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2642394Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2642824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2642992Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2643477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2643726Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2644235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2644393Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2647299Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2647361Z 2025-12-04T10:23:52.2647595Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2647802Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2647808Z 2025-12-04T10:23:52.2648074Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2648304Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2649090Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2649287Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2650049Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2650223Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2650453Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2651221Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2651418Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2651630Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2651764Z Traceback (most recent call last): 2025-12-04T10:23:52.2652150Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2652247Z self.attn( 2025-12-04T10:23:52.2652560Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2652684Z a_out = A(hidden_state) 2025-12-04T10:23:52.2653196Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2653344Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2653807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2653932Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2654264Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2654506Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2654939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2655104Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2655587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2655838Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2656350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2656494Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2659435Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2659495Z 2025-12-04T10:23:52.2659727Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2659935Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2659940Z 2025-12-04T10:23:52.2660206Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2660435Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2661294Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2661487Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2662267Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2662441Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2662674Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2663442Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2663624Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2663852Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2663977Z Traceback (most recent call last): 2025-12-04T10:23:52.2664370Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2664469Z self.attn( 2025-12-04T10:23:52.2664784Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2664910Z a_out = A(hidden_state) 2025-12-04T10:23:52.2665422Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2665555Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2666024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2666148Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2666483Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2666722Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2667142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2667330Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2667815Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2668048Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2668573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2668723Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2671702Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2671781Z 2025-12-04T10:23:52.2672001Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2672221Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2672226Z 2025-12-04T10:23:52.2672492Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2672723Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2673502Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2673695Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2674474Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2674648Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2674867Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2675643Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2675825Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2676049Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2676173Z Traceback (most recent call last): 2025-12-04T10:23:52.2676546Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2676665Z self.attn( 2025-12-04T10:23:52.2676979Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2677100Z a_out = A(hidden_state) 2025-12-04T10:23:52.2677611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2677741Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2678217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2678345Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2678662Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2678914Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2679330Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2679517Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2680004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2680240Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2680953Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2681122Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2684076Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2684139Z 2025-12-04T10:23:52.2684359Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2684582Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2684587Z 2025-12-04T10:23:52.2684854Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2685073Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2685856Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2686041Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2686828Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2687002Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2687220Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2687996Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2688178Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2688404Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2688531Z Traceback (most recent call last): 2025-12-04T10:23:52.2688905Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2689015Z self.attn( 2025-12-04T10:23:52.2689334Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2689447Z a_out = A(hidden_state) 2025-12-04T10:23:52.2689976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2690109Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2690570Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2690706Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2691024Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2691273Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2691688Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2691856Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2692365Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2692600Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2693126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2693272Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2696180Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2696253Z 2025-12-04T10:23:52.2696474Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2696682Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2696687Z 2025-12-04T10:23:52.2696968Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2697188Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2697976Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2698160Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2698929Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2699118Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2699337Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2700106Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2700289Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2700500Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2700641Z Traceback (most recent call last): 2025-12-04T10:23:52.2701085Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2701185Z self.attn( 2025-12-04T10:23:52.2701516Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2701631Z a_out = A(hidden_state) 2025-12-04T10:23:52.2702161Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2702294Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2702753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2702894Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2703215Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2703451Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2703879Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2704045Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2704543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2704789Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2705298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2705454Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2708380Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2708460Z 2025-12-04T10:23:52.2708680Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2708886Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2708891Z 2025-12-04T10:23:52.2709169Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2709387Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2710161Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2710356Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2711120Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2711313Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2711530Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2712293Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2712488Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2712699Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2712838Z Traceback (most recent call last): 2025-12-04T10:23:52.2713207Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2713304Z self.attn( 2025-12-04T10:23:52.2713631Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2713740Z a_out = A(hidden_state) 2025-12-04T10:23:52.2714257Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2714407Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2714867Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2715008Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2715329Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2715569Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2715997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2716163Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2716651Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2716902Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2717414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2717572Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2720430Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2720502Z 2025-12-04T10:23:52.2720808Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2721018Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2721023Z 2025-12-04T10:23:52.2721292Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2721524Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2722296Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2722493Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2723261Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2723436Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2723668Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2724433Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2724629Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2724841Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2724966Z Traceback (most recent call last): 2025-12-04T10:23:52.2725352Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2725450Z self.attn( 2025-12-04T10:23:52.2725767Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2725890Z a_out = A(hidden_state) 2025-12-04T10:23:52.2726401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2726553Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2727014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2727139Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2727472Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2727708Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2728137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2728305Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2728792Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2729041Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2729551Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2729701Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2732744Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2732752Z 2025-12-04T10:23:52.2732991Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2733387Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2733393Z 2025-12-04T10:23:52.2733661Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2733896Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2734671Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2734856Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2735635Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2735809Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2736037Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2736810Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2736996Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2737220Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2737345Z Traceback (most recent call last): 2025-12-04T10:23:52.2737730Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2737828Z self.attn( 2025-12-04T10:23:52.2738143Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2738268Z a_out = A(hidden_state) 2025-12-04T10:23:52.2738781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2738933Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2739396Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2739521Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2739852Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2740090Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2740517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2740681Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2741248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2741495Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2742003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2742159Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2745028Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2745035Z 2025-12-04T10:23:52.2745268Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2745476Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2745547Z 2025-12-04T10:23:52.2745868Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2746103Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2746878Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2747063Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2747847Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2748019Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2748255Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2749030Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2749216Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2749439Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2749564Z Traceback (most recent call last): 2025-12-04T10:23:52.2749951Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2750050Z self.attn( 2025-12-04T10:23:52.2750368Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2750493Z a_out = A(hidden_state) 2025-12-04T10:23:52.2751009Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2751140Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2751614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2751750Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2752080Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2752314Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2752727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2752905Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2753387Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2753621Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2754141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2754290Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2757155Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2757163Z 2025-12-04T10:23:52.2757382Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2757596Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2757601Z 2025-12-04T10:23:52.2757863Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2758221Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2758998Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2759183Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2759957Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2760125Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2760341Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2761116Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2761303Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2761527Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2761646Z Traceback (most recent call last): 2025-12-04T10:23:52.2762019Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2762123Z self.attn( 2025-12-04T10:23:52.2762437Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2762556Z a_out = A(hidden_state) 2025-12-04T10:23:52.2763069Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2763199Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2763673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2763798Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2764126Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2764371Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2764784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2764961Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2765441Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2765674Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2766192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2766333Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2769213Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2769225Z 2025-12-04T10:23:52.2769439Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2769657Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2769662Z 2025-12-04T10:23:52.2769927Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2770238Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2771087Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2771269Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2772047Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2772221Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2772439Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2773214Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2773396Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2773617Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2773753Z Traceback (most recent call last): 2025-12-04T10:23:52.2774120Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2774228Z self.attn( 2025-12-04T10:23:52.2774542Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2774647Z a_out = A(hidden_state) 2025-12-04T10:23:52.2775179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2775308Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2775769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2775906Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2776223Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2776478Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2776897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2777065Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2777559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2777792Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2778314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2778457Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2781402Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2781428Z 2025-12-04T10:23:52.2781649Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2781859Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2781864Z 2025-12-04T10:23:52.2782148Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2782367Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2783233Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2783477Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2784242Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2784429Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2784647Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2785425Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2785607Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2785817Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2785962Z Traceback (most recent call last): 2025-12-04T10:23:52.2786331Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2786427Z self.attn( 2025-12-04T10:23:52.2786757Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2786865Z a_out = A(hidden_state) 2025-12-04T10:23:52.2787387Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2787517Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2787977Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2788112Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2788434Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2788670Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2789104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2789272Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2789768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2790000Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2790514Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2790670Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2793513Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2793523Z 2025-12-04T10:23:52.2793755Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2793961Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2793966Z 2025-12-04T10:23:52.2794243Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2794461Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2795288Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2795542Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2796303Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2796486Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2796702Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2797465Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2797657Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2797866Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2798002Z Traceback (most recent call last): 2025-12-04T10:23:52.2798378Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2798477Z self.attn( 2025-12-04T10:23:52.2798808Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2798918Z a_out = A(hidden_state) 2025-12-04T10:23:52.2799423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2799567Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2800026Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2800161Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2800478Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2800714Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2801145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2801314Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2801802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2802048Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2802557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2802720Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2805566Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2805576Z 2025-12-04T10:23:52.2805809Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2806016Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2806021Z 2025-12-04T10:23:52.2806289Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2806522Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2807288Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2807485Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2808367Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2808542Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2808772Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2809537Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2809734Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2809947Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2810071Z Traceback (most recent call last): 2025-12-04T10:23:52.2810457Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2810557Z self.attn( 2025-12-04T10:23:52.2810881Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2811002Z a_out = A(hidden_state) 2025-12-04T10:23:52.2811512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2811658Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2812115Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2812242Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2812574Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2812811Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2813233Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2813421Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2813911Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2814162Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2814676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2814822Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2817697Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2817709Z 2025-12-04T10:23:52.2817946Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2818155Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2818160Z 2025-12-04T10:23:52.2818430Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2818666Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2819447Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2819632Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2820495Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2820724Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2821034Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2821803Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2821987Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2822219Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2822345Z Traceback (most recent call last): 2025-12-04T10:23:52.2822734Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2822833Z self.attn( 2025-12-04T10:23:52.2823154Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2823291Z a_out = A(hidden_state) 2025-12-04T10:23:52.2823804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2823939Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2824417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2824547Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2824879Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2825119Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2825535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2825715Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2826205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2826443Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2826970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2827114Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2830003Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2830016Z 2025-12-04T10:23:52.2830236Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2830460Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2830464Z 2025-12-04T10:23:52.2830955Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2831190Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2831968Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2832151Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2832934Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2833317Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2833539Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2834321Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2834503Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2834726Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2834852Z Traceback (most recent call last): 2025-12-04T10:23:52.2835223Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2835332Z self.attn( 2025-12-04T10:23:52.2835647Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2835771Z a_out = A(hidden_state) 2025-12-04T10:23:52.2836294Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2836428Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2836900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2837024Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2837343Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2837594Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2838009Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2838187Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2838672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2838916Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2839443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2839591Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2842471Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2842485Z 2025-12-04T10:23:52.2842707Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2842930Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2842935Z 2025-12-04T10:23:52.2843200Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2843419Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2844200Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2844386Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2845169Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2845345Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2845688Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2846467Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2846651Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2846868Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2847004Z Traceback (most recent call last): 2025-12-04T10:23:52.2847375Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2847485Z self.attn( 2025-12-04T10:23:52.2847800Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2847911Z a_out = A(hidden_state) 2025-12-04T10:23:52.2848440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2848579Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2849038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2849175Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2849495Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2849745Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2850158Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2850324Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2850823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2851059Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2851592Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2851738Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2854592Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2854613Z 2025-12-04T10:23:52.2854834Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2855046Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2855051Z 2025-12-04T10:23:52.2855329Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2855549Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2856336Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2856520Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2857288Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2857474Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2857690Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2858598Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2858782Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2858995Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2859133Z Traceback (most recent call last): 2025-12-04T10:23:52.2859505Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2859603Z self.attn( 2025-12-04T10:23:52.2859929Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2860041Z a_out = A(hidden_state) 2025-12-04T10:23:52.2860569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2860699Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2861243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2861385Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2861707Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2861943Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2862373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2862540Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2863035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2863271Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2863786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2863947Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2866793Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2866801Z 2025-12-04T10:23:52.2867030Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2867243Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2867252Z 2025-12-04T10:23:52.2867533Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2867751Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2868527Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2868725Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2869481Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2869666Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2869884Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2870722Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2870972Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2871186Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2871321Z Traceback (most recent call last): 2025-12-04T10:23:52.2871694Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2871791Z self.attn( 2025-12-04T10:23:52.2872118Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2872227Z a_out = A(hidden_state) 2025-12-04T10:23:52.2872742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2872885Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2873349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2873493Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2873808Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2874043Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2874472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2874637Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2875121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2875370Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2875881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2876040Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2878907Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2878914Z 2025-12-04T10:23:52.2879149Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2879359Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2879364Z 2025-12-04T10:23:52.2879641Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2879871Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2880646Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2880843Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2881611Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2881785Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2882017Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2882779Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2883089Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2883304Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2883432Z Traceback (most recent call last): 2025-12-04T10:23:52.2883816Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2883913Z self.attn( 2025-12-04T10:23:52.2884228Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2884352Z a_out = A(hidden_state) 2025-12-04T10:23:52.2884862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2885005Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2885464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2885596Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2885930Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2886165Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2886581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2886774Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2887264Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2887512Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2888022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2888169Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2891053Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2891065Z 2025-12-04T10:23:52.2891298Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2891504Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2891510Z 2025-12-04T10:23:52.2891779Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2892021Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2892801Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2892986Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2893765Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2893942Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2894176Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2894940Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2895123Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2895465Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2895593Z Traceback (most recent call last): 2025-12-04T10:23:52.2895981Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2896080Z self.attn( 2025-12-04T10:23:52.2896400Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2896525Z a_out = A(hidden_state) 2025-12-04T10:23:52.2897040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2897173Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2897652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2897779Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2898120Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2898362Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2898782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2898962Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2899448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2899685Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2900208Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2900353Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2903336Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2903348Z 2025-12-04T10:23:52.2903568Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2903793Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2903798Z 2025-12-04T10:23:52.2904067Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2904301Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2905085Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2905271Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2906049Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2906220Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2906436Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2907204Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2907388Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2907611Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2907876Z Traceback (most recent call last): 2025-12-04T10:23:52.2908248Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2908360Z self.attn( 2025-12-04T10:23:52.2908674Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2908785Z a_out = A(hidden_state) 2025-12-04T10:23:52.2909315Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2909444Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2909916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2910041Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2910358Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2910615Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2911039Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2911216Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2911702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2911935Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2912456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2912601Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2915465Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2915476Z 2025-12-04T10:23:52.2915694Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2915913Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2915918Z 2025-12-04T10:23:52.2916184Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2916406Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2917197Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2917387Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2918167Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2918342Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2918561Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2919331Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2919515Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2919730Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2919867Z Traceback (most recent call last): 2025-12-04T10:23:52.2920352Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2920464Z self.attn( 2025-12-04T10:23:52.2920780Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2920889Z a_out = A(hidden_state) 2025-12-04T10:23:52.2921414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2921546Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2922008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2922145Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2922466Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2922715Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2923141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2923308Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2923807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2924042Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2924565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2924709Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2927559Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2927583Z 2025-12-04T10:23:52.2927804Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2928013Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2928018Z 2025-12-04T10:23:52.2928296Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2928515Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2929305Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2929498Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2930267Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2930451Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2930835Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2931614Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2931798Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2932014Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2932157Z Traceback (most recent call last): 2025-12-04T10:23:52.2932531Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2932814Z self.attn( 2025-12-04T10:23:52.2933146Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2933255Z a_out = A(hidden_state) 2025-12-04T10:23:52.2933781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2933914Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2934378Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2934518Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2934838Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2935073Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2935501Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2935676Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2936176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2936409Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2936924Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2937081Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2939952Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2939963Z 2025-12-04T10:23:52.2940194Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2940401Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2940406Z 2025-12-04T10:23:52.2940683Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2940976Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2941754Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2941956Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2942725Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2942915Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2943135Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2943894Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2944089Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2944302Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2944442Z Traceback (most recent call last): 2025-12-04T10:23:52.2944814Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2944911Z self.attn( 2025-12-04T10:23:52.2945359Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2945470Z a_out = A(hidden_state) 2025-12-04T10:23:52.2945984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2946129Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2946586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2946724Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2947044Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2947280Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2947707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2947872Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2948363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2948611Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2949122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2949281Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2952154Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2952165Z 2025-12-04T10:23:52.2952394Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2952600Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2952606Z 2025-12-04T10:23:52.2952878Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2953109Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2953881Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2954078Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2954851Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2955030Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2955262Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2956027Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2956224Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2956435Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2956559Z Traceback (most recent call last): 2025-12-04T10:23:52.2956939Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2957035Z self.attn( 2025-12-04T10:23:52.2957349Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2957596Z a_out = A(hidden_state) 2025-12-04T10:23:52.2958109Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2958254Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2958713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2958839Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2959167Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2959401Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2959815Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2959995Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2960485Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2960741Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2961251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2961397Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2964257Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2964269Z 2025-12-04T10:23:52.2964502Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2964709Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2964714Z 2025-12-04T10:23:52.2964982Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2965216Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2965995Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2966180Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2966959Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2967145Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2967381Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2968149Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2968336Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2968565Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2968693Z Traceback (most recent call last): 2025-12-04T10:23:52.2969079Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2969178Z self.attn( 2025-12-04T10:23:52.2969494Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2969620Z a_out = A(hidden_state) 2025-12-04T10:23:52.2970198Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2970386Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2970866Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2970993Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2971328Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2971566Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2971981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2972165Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2972649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2972886Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2973417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2973563Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2976463Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2976474Z 2025-12-04T10:23:52.2976700Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2976919Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2976924Z 2025-12-04T10:23:52.2977188Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2977420Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2978194Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2978381Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2979156Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2979334Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2979558Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2980338Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2980522Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2980747Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2980957Z Traceback (most recent call last): 2025-12-04T10:23:52.2981329Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2981438Z self.attn( 2025-12-04T10:23:52.2981752Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2981860Z a_out = A(hidden_state) 2025-12-04T10:23:52.2982394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2982646Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2983119Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2983243Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2983563Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2983816Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2984232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2984418Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2984902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2985136Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2985665Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2985812Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.2988708Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.2988715Z 2025-12-04T10:23:52.2988933Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.2989164Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.2989169Z 2025-12-04T10:23:52.2989439Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.2989660Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2990458Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2990641Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2991419Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2991596Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.2991814Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.2992597Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.2992783Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.2992993Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.2993131Z Traceback (most recent call last): 2025-12-04T10:23:52.2993504Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.2993615Z self.attn( 2025-12-04T10:23:52.2993930Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.2994039Z a_out = A(hidden_state) 2025-12-04T10:23:52.2994565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.2994695Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.2995266Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.2995406Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.2995724Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.2995971Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.2996389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.2996553Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.2997053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.2997286Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.2997807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.2997960Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.3000822Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3000842Z 2025-12-04T10:23:52.3001060Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3001268Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3001277Z 2025-12-04T10:23:52.3001560Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3001778Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.3002569Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.3002754Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.3003523Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.3003712Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.3003928Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.3004706Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.3004895Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.3005105Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.3005243Z Traceback (most recent call last): 2025-12-04T10:23:52.3005615Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.3005711Z self.attn( 2025-12-04T10:23:52.3006037Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.3006145Z a_out = A(hidden_state) 2025-12-04T10:23:52.3006670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.3006801Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.3007263Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.3007534Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.3007855Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.3008093Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.3008524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.3008693Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.3009192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.3009428Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.3009939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.3010100Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.3012971Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3012979Z 2025-12-04T10:23:52.3013214Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3013422Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3013428Z 2025-12-04T10:23:52.3013708Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3013939Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.3014718Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.3014915Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.3015681Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.3015869Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.3016090Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.3016855Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.3017059Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.3017271Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.3017409Z Traceback (most recent call last): 2025-12-04T10:23:52.3017782Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.3017878Z self.attn( 2025-12-04T10:23:52.3018205Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.3018314Z a_out = A(hidden_state) 2025-12-04T10:23:52.3018825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.3018967Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.3019423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.3019559Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.3019991Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.3020233Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.3020661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.3020897Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.3021388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.3021637Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.3022147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.3022306Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.3025178Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3025189Z 2025-12-04T10:23:52.3025424Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3025632Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3025637Z 2025-12-04T10:23:52.3025906Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3026142Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.3026922Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.3027122Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.3027883Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.3028057Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.3028289Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.3029052Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.3029249Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.3029469Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.3029595Z Traceback (most recent call last): 2025-12-04T10:23:52.3029980Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.3030078Z self.attn( 2025-12-04T10:23:52.3030393Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.3030519Z a_out = A(hidden_state) 2025-12-04T10:23:52.3031185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.3031335Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.3031796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.3031920Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.3032252Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.3032673Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.3033090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.3033269Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.3033754Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.3034003Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.3034512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.3034657Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.3037557Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3037568Z 2025-12-04T10:23:52.3037791Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3038016Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3038021Z 2025-12-04T10:23:52.3038291Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3038526Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.3039314Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.3039504Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.3040286Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.3040461Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.3040696Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.3041457Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.3041641Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.3041868Z ____________________________ TestMin.test_attn_cuda ____________________________ 2025-12-04T10:23:52.3042006Z Traceback (most recent call last): 2025-12-04T10:23:52.3042394Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 291, in test_attn_cuda 2025-12-04T10:23:52.3042494Z self.attn( 2025-12-04T10:23:52.3042811Z File "/var/lib/jenkins/workspace/test/functorch/test_dims.py", line 173, in attn 2025-12-04T10:23:52.3042940Z a_out = A(hidden_state) 2025-12-04T10:23:52.3043456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T10:23:52.3043589Z return self._call_impl(*args, **kwargs) 2025-12-04T10:23:52.3044069Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T10:23:52.3044196Z return forward_call(*args, **kwargs) 2025-12-04T10:23:52.3044528Z File "/var/lib/jenkins/workspace/test/functorch/attn_ft.py", line 100, in forward 2025-12-04T10:23:52.3044766Z attention_scores = (q * k).sum(features) / math.sqrt(features.size) 2025-12-04T10:23:52.3045315Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/wrap_type.py", line 30, in impl 2025-12-04T10:23:52.3045499Z return __torch_function__(orig, None, args, kwargs) 2025-12-04T10:23:52.3045985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 537, in __torch_function__ 2025-12-04T10:23:52.3046223Z return _Tensor._torch_function_fallback(func, types, args, kwargs) 2025-12-04T10:23:52.3046753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/functorch/dim/__init__.py", line 576, in _torch_function_fallback 2025-12-04T10:23:52.3046896Z result = func(*unflat_args, **unflat_kwargs) 2025-12-04T10:23:52.3049770Z torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3049780Z 2025-12-04T10:23:52.3049998Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3050223Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3050228Z 2025-12-04T10:23:52.3050496Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3050717Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.3051515Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.3051702Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.3052490Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:98: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.3052665Z isinstance(o, (torch.Tensor, Dim, Tensor, DimList)) 2025-12-04T10:23:52.3052884Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:23:52.3053669Z /var/lib/jenkins/workspace/test/functorch/test_dims.py:89: FutureWarning: `torch.distributed.reduce_op` is deprecated, please use `torch.distributed.ReduceOp` instead 2025-12-04T10:23:52.3053855Z if isinstance(o, (torch.Tensor, Dim, Tensor, DimList)): 2025-12-04T10:23:52.3054538Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_dims/functorch.test_dims-aed073f7689b7ab7.xml - 2025-12-04T10:23:52.3054716Z =========================== short test summary info ============================ 2025-12-04T10:23:52.3057953Z FAILED [1.7954s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 982.64 MiB is allocated by PyTorch, and 19.36 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) 2025-12-04T10:23:52.3057960Z 2025-12-04T10:23:52.3058176Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3058462Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3058522Z 2025-12-04T10:23:52.3058789Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3062019Z FAILED [0.7393s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3062027Z 2025-12-04T10:23:52.3062254Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3062463Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3062485Z 2025-12-04T10:23:52.3062751Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3065891Z FAILED [0.8112s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3065916Z 2025-12-04T10:23:52.3066130Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3066335Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3066340Z 2025-12-04T10:23:52.3066618Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3069769Z FAILED [0.7404s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3069793Z 2025-12-04T10:23:52.3070011Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3070215Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3070220Z 2025-12-04T10:23:52.3070498Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3073692Z FAILED [0.7261s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3073758Z 2025-12-04T10:23:52.3073987Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3074194Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3074199Z 2025-12-04T10:23:52.3074476Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3077628Z FAILED [0.6953s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3077640Z 2025-12-04T10:23:52.3077865Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3078070Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3078075Z 2025-12-04T10:23:52.3078351Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3081510Z FAILED [0.7531s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3081521Z 2025-12-04T10:23:52.3081745Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3081952Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3081957Z 2025-12-04T10:23:52.3082220Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3085374Z FAILED [0.7201s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3085385Z 2025-12-04T10:23:52.3085611Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3085814Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3085819Z 2025-12-04T10:23:52.3086084Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3089285Z FAILED [0.6923s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3089345Z 2025-12-04T10:23:52.3089574Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3089780Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3089784Z 2025-12-04T10:23:52.3090046Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3093195Z FAILED [0.7160s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3093202Z 2025-12-04T10:23:52.3093414Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3093632Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3093645Z 2025-12-04T10:23:52.3093907Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3097048Z FAILED [0.6805s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3097055Z 2025-12-04T10:23:52.3097267Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3097494Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3097500Z 2025-12-04T10:23:52.3097764Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3100973Z FAILED [0.6754s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3101116Z 2025-12-04T10:23:52.3101336Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3101559Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3101563Z 2025-12-04T10:23:52.3101828Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3104981Z FAILED [0.6861s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3104992Z 2025-12-04T10:23:52.3105206Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3105426Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3105431Z 2025-12-04T10:23:52.3105693Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3108849Z FAILED [0.7099s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3108859Z 2025-12-04T10:23:52.3109074Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3109281Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3109300Z 2025-12-04T10:23:52.3109563Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3112710Z FAILED [0.7067s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3112736Z 2025-12-04T10:23:52.3112947Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3113151Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3113157Z 2025-12-04T10:23:52.3113431Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3116608Z FAILED [0.7369s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3116683Z 2025-12-04T10:23:52.3116894Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3117098Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3117103Z 2025-12-04T10:23:52.3117378Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3120516Z FAILED [0.6944s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3120539Z 2025-12-04T10:23:52.3120750Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3120955Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3120960Z 2025-12-04T10:23:52.3121233Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3124489Z FAILED [0.6916s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3124500Z 2025-12-04T10:23:52.3124727Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3124933Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3124937Z 2025-12-04T10:23:52.3125214Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3128361Z FAILED [0.7192s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3128368Z 2025-12-04T10:23:52.3128596Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3128804Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3128874Z 2025-12-04T10:23:52.3129192Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3132472Z FAILED [0.6845s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3132479Z 2025-12-04T10:23:52.3132706Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3132922Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3132927Z 2025-12-04T10:23:52.3133191Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3136333Z FAILED [0.6996s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3136344Z 2025-12-04T10:23:52.3136582Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3136788Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3136792Z 2025-12-04T10:23:52.3137053Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3140211Z FAILED [0.7154s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3140220Z 2025-12-04T10:23:52.3140430Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3140648Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3140653Z 2025-12-04T10:23:52.3140971Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3144226Z FAILED [0.7015s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3144305Z 2025-12-04T10:23:52.3144518Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3144737Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3144742Z 2025-12-04T10:23:52.3145006Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3148139Z FAILED [0.6978s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3148149Z 2025-12-04T10:23:52.3148359Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3148578Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3148583Z 2025-12-04T10:23:52.3148846Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3152009Z FAILED [0.7511s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3152019Z 2025-12-04T10:23:52.3152231Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3152451Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3152456Z 2025-12-04T10:23:52.3152720Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3155886Z FAILED [0.6817s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3155896Z 2025-12-04T10:23:52.3156109Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3156325Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3156330Z 2025-12-04T10:23:52.3156593Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3159871Z FAILED [0.6982s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3159950Z 2025-12-04T10:23:52.3160166Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3160371Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3160376Z 2025-12-04T10:23:52.3160654Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3163789Z FAILED [0.6956s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3163809Z 2025-12-04T10:23:52.3164026Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3164232Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3164237Z 2025-12-04T10:23:52.3164524Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3167659Z FAILED [0.7745s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3167681Z 2025-12-04T10:23:52.3167893Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3168103Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3168113Z 2025-12-04T10:23:52.3168387Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3171520Z FAILED [0.6908s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3171527Z 2025-12-04T10:23:52.3171867Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3172073Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3172078Z 2025-12-04T10:23:52.3172354Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3175474Z FAILED [0.6888s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3175485Z 2025-12-04T10:23:52.3175709Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3175913Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3175918Z 2025-12-04T10:23:52.3176191Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3179312Z FAILED [0.6769s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3179323Z 2025-12-04T10:23:52.3179546Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3179750Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3179755Z 2025-12-04T10:23:52.3180018Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3183243Z FAILED [0.7012s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3183255Z 2025-12-04T10:23:52.3183481Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3183687Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3183691Z 2025-12-04T10:23:52.3183957Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3187167Z FAILED [0.6781s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3187227Z 2025-12-04T10:23:52.3187441Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3187660Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3187664Z 2025-12-04T10:23:52.3187930Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3191077Z FAILED [0.6981s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3191087Z 2025-12-04T10:23:52.3191300Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3191523Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3191527Z 2025-12-04T10:23:52.3191792Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3194937Z FAILED [0.7007s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3194948Z 2025-12-04T10:23:52.3195162Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3195384Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3195388Z 2025-12-04T10:23:52.3195652Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3198827Z FAILED [0.7512s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3198837Z 2025-12-04T10:23:52.3199049Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3199271Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3199275Z 2025-12-04T10:23:52.3199600Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3202804Z FAILED [0.6945s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3202810Z 2025-12-04T10:23:52.3203026Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3203246Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3203260Z 2025-12-04T10:23:52.3203528Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3206651Z FAILED [0.6977s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3206672Z 2025-12-04T10:23:52.3206889Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3207100Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3207105Z 2025-12-04T10:23:52.3207385Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3210524Z FAILED [0.6843s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3210554Z 2025-12-04T10:23:52.3210766Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3210972Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3210978Z 2025-12-04T10:23:52.3211254Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3214455Z FAILED [0.6989s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3214530Z 2025-12-04T10:23:52.3214744Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3214949Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3214954Z 2025-12-04T10:23:52.3215230Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3218381Z FAILED [0.7015s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3218391Z 2025-12-04T10:23:52.3218616Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3218822Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3218827Z 2025-12-04T10:23:52.3219104Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3222284Z FAILED [0.6900s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3222296Z 2025-12-04T10:23:52.3222521Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3222725Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3222730Z 2025-12-04T10:23:52.3223009Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3226157Z FAILED [0.6909s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3226167Z 2025-12-04T10:23:52.3226391Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3226597Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3226602Z 2025-12-04T10:23:52.3226864Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3230084Z FAILED [0.6898s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3230144Z 2025-12-04T10:23:52.3230369Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3231134Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3231140Z 2025-12-04T10:23:52.3231408Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3234562Z FAILED [0.7800s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3234572Z 2025-12-04T10:23:52.3234785Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3235003Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3235008Z 2025-12-04T10:23:52.3235270Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3238428Z FAILED [0.6912s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3238438Z 2025-12-04T10:23:52.3238651Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3238872Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3238881Z 2025-12-04T10:23:52.3239148Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3242285Z FAILED [0.6825s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3242292Z 2025-12-04T10:23:52.3242506Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3242922Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3242927Z 2025-12-04T10:23:52.3243192Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3246326Z FAILED [0.6968s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3246335Z 2025-12-04T10:23:52.3246553Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3246776Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3246781Z 2025-12-04T10:23:52.3247044Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3250208Z FAILED [0.6878s] functorch/test_dims.py::TestMin::test_attn_cuda - torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 12.00 GiB. GPU 0 has a total capacity of 14.58 GiB of which 11.02 GiB is free. Process 83321 has 620.00 MiB memory in use. Process 83434 has 622.00 MiB memory in use. Process 91924 has 620.00 MiB memory in use. Process 92009 has 1.74 GiB memory in use. 6.41 GiB allowed; Of the allocated memory 983.27 MiB is allocated by PyTorch, and 18.73 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) 2025-12-04T10:23:52.3250218Z 2025-12-04T10:23:52.3250431Z To execute this test, run the following from the base repo dir: 2025-12-04T10:23:52.3250649Z python test/functorch/test_dims.py TestMin.test_attn_cuda 2025-12-04T10:23:52.3250654Z 2025-12-04T10:23:52.3250915Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:23:52.3251358Z ERROR [0.0002s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3251808Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3252236Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3252678Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3253116Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3253542Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3253977Z ERROR [0.0003s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3254405Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3254840Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3255264Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3255691Z ERROR [0.0002s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3256265Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3256692Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3257134Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3257562Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3257984Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3258424Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3258848Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3259289Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3259718Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3260147Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3260591Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3261092Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3261524Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3261969Z ERROR [0.0002s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3262402Z ERROR [0.0002s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3262850Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3263278Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3263707Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3264147Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3264575Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3265014Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3265445Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3265875Z ERROR [0.0002s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3266315Z ERROR [0.0002s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3266739Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3267176Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3267600Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3268025Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3268460Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3269005Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3269445Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3269872Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3270301Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3270741Z ERROR [0.0002s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3271167Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3271606Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3272035Z ERROR [0.0001s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3272462Z ERROR [0.0002s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3272902Z ERROR [0.0007s] functorch/test_dims.py::TestMin::test_attn_cuda - ModuleNotFoundError: No module named 'refcycle' 2025-12-04T10:23:52.3273078Z ======================== 50 failed, 50 errors in 36.86s ======================== 2025-12-04T10:23:52.3273084Z 2025-12-04T10:23:52.3273576Z FINISHED PRINTING LOG FILE of functorch/test_dims 1/1 (test/test-reports/functorch.test_dims_1.1_41e9b68328f660bb_.log) 2025-12-04T10:23:52.3273582Z 2025-12-04T10:23:52.3273896Z Finished functorch/test_dims 1/1 ... [2025-12-04 10:23:52.167445][3071.494374622], took 0.73min 2025-12-04T10:23:52.3274638Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_dims/functorch.test_dims-aed073f7689b7ab7.xml 2025-12-04T10:23:52.7930089Z Uploading logs for 57119749265 to S3 2025-12-04T10:23:52.8373254Z Uploading artifacts took 0.54 seconds 2025-12-04T10:23:52.8373638Z functorch/test_dims 1/1 failed! 2025-12-04T10:23:59.1055719Z Running test_sparse_csr 1/2 ... [2025-12-04 10:23:59.105172][3078.432108234] 2025-12-04T10:23:59.1056347Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:23:59.1059558Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sparse_csr.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:23:59.105666] 2025-12-04T10:24:17.6051231Z 2025-12-04T10:24:17.6052716Z test_sparse_csr 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_1.2_798ce161bd044b84_.log 2025-12-04T10:24:17.6054318Z Running 0 items in this shard: 2025-12-04T10:24:17.6054756Z 2025-12-04T10:24:17.6055307Z Finished test_sparse_csr 1/2 ... [2025-12-04 10:24:17.605050][3096.931983778], took 0.31min 2025-12-04T10:24:17.6177507Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sparse_csr/test_sparse_csr-4d0fe180c6764274.xml 2025-12-04T10:24:24.5795603Z Running functorch/test_ops 3/7 ... [2025-12-04 10:24:24.579165][3103.90610145] 2025-12-04T10:24:24.5796191Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:24:24.5799478Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=3', '--num-shards=7', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:24:24.579662] 2025-12-04T10:24:53.5372663Z 2025-12-04T10:24:53.5374074Z functorch/test_ops 3/7 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_3.7_847865ded6a746ef_.log 2025-12-04T10:24:53.5375174Z Running 0 items in this shard: 2025-12-04T10:24:53.5375395Z 2025-12-04T10:24:53.5375710Z Finished functorch/test_ops 3/7 ... [2025-12-04 10:24:53.537202][3132.864137877], took 0.48min 2025-12-04T10:24:53.5503803Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-4e58df590aeb32a7.xml 2025-12-04T10:25:00.5450704Z Running test_torchfuzz_repros 1/1 ... [2025-12-04 10:25:00.544647][3139.871582925] 2025-12-04T10:25:00.5451299Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:25:00.5454159Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_torchfuzz_repros.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:25:00.545120] 2025-12-04T10:25:07.0851846Z 2025-12-04T10:25:07.0853437Z test_torchfuzz_repros 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torchfuzz_repros_1.1_270c13063b5075d9_.log 2025-12-04T10:25:07.0854941Z Running 0 items in this shard: 2025-12-04T10:25:07.0855304Z 2025-12-04T10:25:07.0855882Z Finished test_torchfuzz_repros 1/1 ... [2025-12-04 10:25:07.085127][3146.412063621], took 0.11min 2025-12-04T10:25:07.0981930Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-52c8d6382a300bc5.xml 2025-12-04T10:25:14.1409040Z Running inductor/test_group_batch_fusion 1/1 ... [2025-12-04 10:25:14.140496][3153.467432379] 2025-12-04T10:25:14.1409682Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:25:14.1412623Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_group_batch_fusion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:25:14.140976] 2025-12-04T10:25:26.0397234Z 2025-12-04T10:25:26.0398431Z 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_2ae2cfa96087fdfe_.log 2025-12-04T10:25:26.0399630Z Running 0 items in this shard: 2025-12-04T10:25:26.0399907Z 2025-12-04T10:25:26.0400384Z Finished inductor/test_group_batch_fusion 1/1 ... [2025-12-04 10:25:26.039792][3165.366725429], took 0.20min 2025-12-04T10:25:26.0531074Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_group_batch_fusion/inductor.test_group_batch_fusion-ba09627401ba18da.xml 2025-12-04T10:25:32.9821847Z Running dynamo/test_dynamic_shapes 1/1 ... [2025-12-04 10:25:32.981784][3172.308720326] 2025-12-04T10:25:32.9822448Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:25:32.9825610Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_dynamic_shapes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:25:32.982264] 2025-12-04T10:25:50.3671517Z 2025-12-04T10:25:50.3672609Z dynamo/test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_dynamic_shapes_1.1_3728214080ddffff_.log 2025-12-04T10:25:50.3673592Z Running 0 items in this shard: 2025-12-04T10:25:50.3673812Z 2025-12-04T10:25:50.3674181Z Finished dynamo/test_dynamic_shapes 1/1 ... [2025-12-04 10:25:50.367079][3189.694016072], took 0.29min 2025-12-04T10:25:50.3804501Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_dynamic_shapes/dynamo.test_dynamic_shapes-b1e5c1d1f93b0a66.xml 2025-12-04T10:25:57.3399778Z Running inductor/test_smoke 1/1 ... [2025-12-04 10:25:57.339563][3196.666498967] 2025-12-04T10:25:57.3400568Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:25:57.3403588Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_smoke.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:25:57.340038] 2025-12-04T10:26:08.7865028Z 2025-12-04T10:26:08.7866426Z inductor/test_smoke 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_smoke_1.1_0d7d8916aa1fae73_.log 2025-12-04T10:26:08.7867903Z 2025-12-04T10:26:08.7868441Z Finished inductor/test_smoke 1/1 ... [2025-12-04 10:26:08.786228][3208.113165256], took 0.19min 2025-12-04T10:26:15.8731769Z Running inductor/test_inductor_freezing 1/1 ... [2025-12-04 10:26:15.872737][3215.199673324] 2025-12-04T10:26:15.8732414Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:26:15.8734919Z 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 10:26:15.873202] 2025-12-04T10:26:28.3188497Z 2025-12-04T10:26:28.3189941Z 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_9e88f41fab34dfc3_.log 2025-12-04T10:26:28.3273401Z 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 2025-12-04T10:26:28.3354935Z 2025-12-04T10:26:28.3355733Z Finished inductor/test_inductor_freezing 1/1 ... [2025-12-04 10:26:28.318982][3227.645918395], took 0.21min 2025-12-04T10:26:28.3385993Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_inductor_freezing/inductor.test_inductor_freezing-9747a8aee0e2f7e6.xml 2025-12-04T10:26:35.3196778Z Running dynamo/test_unspec 1/1 ... [2025-12-04 10:26:35.319262][3234.646198526] 2025-12-04T10:26:35.3197357Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:26:35.3200248Z 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 10:26:35.319731] 2025-12-04T10:26:42.7830789Z 2025-12-04T10:26:42.7831903Z dynamo/test_unspec 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unspec_1.1_dee2e01c71857090_.log 2025-12-04T10:26:42.7832830Z Running 0 items in this shard: 2025-12-04T10:26:42.7833051Z 2025-12-04T10:26:42.7833369Z Finished dynamo/test_unspec 1/1 ... [2025-12-04 10:26:42.782970][3242.109907902], took 0.12min 2025-12-04T10:26:42.7968620Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_unspec/dynamo.test_unspec-06901106251da016.xml 2025-12-04T10:26:49.8971515Z Running dynamo/test_higher_order_ops 1/1 ... [2025-12-04 10:26:49.896761][3249.223697107] 2025-12-04T10:26:49.8972146Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:26:49.8976431Z 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 10:26:49.897217] 2025-12-04T10:27:02.7551552Z 2025-12-04T10:27:02.7552701Z 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_394c63405b5da8da_.log 2025-12-04T10:27:02.7553766Z Running 0 items in this shard: 2025-12-04T10:27:02.7554047Z 2025-12-04T10:27:02.7554588Z Finished dynamo/test_higher_order_ops 1/1 ... [2025-12-04 10:27:02.755113][3262.082049724], took 0.21min 2025-12-04T10:27:02.7694252Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_higher_order_ops/dynamo.test_higher_order_ops-ea5c687be97ba8d5.xml 2025-12-04T10:27:09.7785785Z Running inductor/test_mmdecomp 1/1 ... [2025-12-04 10:27:09.778197][3269.105132467] 2025-12-04T10:27:09.7786393Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:27:09.7790221Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mmdecomp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:27:09.778709] 2025-12-04T10:27:21.5672242Z 2025-12-04T10:27:21.5673936Z inductor/test_mmdecomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mmdecomp_1.1_53bd8d91bf4fb8da_.log 2025-12-04T10:27:21.5674876Z Running 0 items in this shard: 2025-12-04T10:27:21.5675115Z 2025-12-04T10:27:21.5675453Z Finished inductor/test_mmdecomp 1/1 ... [2025-12-04 10:27:21.567158][3280.894091522], took 0.20min 2025-12-04T10:27:21.5815873Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mmdecomp/inductor.test_mmdecomp-3e0be4be282ebff9.xml 2025-12-04T10:27:28.5093238Z Running dynamo/test_ctx_manager 1/1 ... [2025-12-04 10:27:28.508893][3287.835829141] 2025-12-04T10:27:28.5094208Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:27:28.5097732Z 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 10:27:28.509395] 2025-12-04T10:27:40.3849477Z 2025-12-04T10:27:40.3850753Z 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_b748a22039ae1c4d_.log 2025-12-04T10:27:40.3851712Z Running 0 items in this shard: 2025-12-04T10:27:40.3851945Z 2025-12-04T10:27:40.3852281Z Finished dynamo/test_ctx_manager 1/1 ... [2025-12-04 10:27:40.384885][3299.711819908], took 0.20min 2025-12-04T10:27:40.3995812Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_ctx_manager/dynamo.test_ctx_manager-b96b25bafabcd7d2.xml 2025-12-04T10:27:47.4137262Z Running dynamo/test_exc 1/1 ... [2025-12-04 10:27:47.413322][3306.740257835] 2025-12-04T10:27:47.4137828Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:27:47.4140960Z 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 10:27:47.413781] 2025-12-04T10:27:54.3674607Z 2025-12-04T10:27:54.3675554Z dynamo/test_exc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exc_1.1_97dc6f87f88aa88d_.log 2025-12-04T10:27:54.3676411Z Running 0 items in this shard: 2025-12-04T10:27:54.3676651Z 2025-12-04T10:27:54.3676943Z Finished dynamo/test_exc 1/1 ... [2025-12-04 10:27:54.367366][3313.69430236], took 0.12min 2025-12-04T10:27:54.3823255Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_exc/dynamo.test_exc-764b0c7c58d91662.xml 2025-12-04T10:28:01.5330504Z Running dynamo/test_misc 1/1 ... [2025-12-04 10:28:01.532648][3320.859583833] 2025-12-04T10:28:01.5331212Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:28:01.5334537Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_misc.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:28:01.533153] 2025-12-04T10:28:11.5733048Z 2025-12-04T10:28:11.5733996Z dynamo/test_misc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_misc_1.1_426b068af23808cc_.log 2025-12-04T10:28:11.5734862Z Running 0 items in this shard: 2025-12-04T10:28:11.5735081Z 2025-12-04T10:28:11.5735397Z Finished dynamo/test_misc 1/1 ... [2025-12-04 10:28:11.573278][3330.900212406], took 0.17min 2025-12-04T10:28:11.5889267Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_misc/dynamo.test_misc-4f0d403fae9f5311.xml 2025-12-04T10:28:18.6665614Z Running inductor/test_aot_inductor_arrayref 1/2 ... [2025-12-04 10:28:18.666153][3337.993088637] 2025-12-04T10:28:18.6666273Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:28:18.6668948Z 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 10:28:18.666602] 2025-12-04T10:37:08.8456603Z 2025-12-04T10:37:08.8457897Z 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_e64bd67dcd2fb317_.log 2025-12-04T10:37:08.8499465Z 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 2025-12-04T10:37:08.8540216Z 2025-12-04T10:37:08.8540627Z Finished inductor/test_aot_inductor_arrayref 1/2 ... [2025-12-04 10:37:08.845483][3868.172419531], took 8.84min 2025-12-04T10:37:08.8614007Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor_arrayref/inductor.test_aot_inductor_arrayref-5c72da50e02616fc.xml 2025-12-04T10:37:15.7687683Z Running inductor/test_halide 1/1 ... [2025-12-04 10:37:15.768383][3875.095318943] 2025-12-04T10:37:15.7688281Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:37:15.7691245Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_halide.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:37:15.768838] 2025-12-04T10:37:27.6331294Z 2025-12-04T10:37:27.6332679Z inductor/test_halide 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_halide_1.1_8371c68684a38be1_.log 2025-12-04T10:37:27.6333572Z 2025-12-04T10:37:27.6333929Z Finished inductor/test_halide 1/1 ... [2025-12-04 10:37:27.632962][3886.959897668], took 0.20min 2025-12-04T10:37:34.5775279Z Running inductor/test_xpu_basic 1/1 ... [2025-12-04 10:37:34.577063][3893.903998556] 2025-12-04T10:37:34.5775967Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:37:34.5778099Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_xpu_basic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:37:34.577534] 2025-12-04T10:37:46.3132262Z 2025-12-04T10:37:46.3133308Z inductor/test_xpu_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_xpu_basic_1.1_e3e0d5d5a304cb66_.log 2025-12-04T10:37:46.3134118Z 2025-12-04T10:37:46.3134458Z Finished inductor/test_xpu_basic 1/1 ... [2025-12-04 10:37:46.312988][3905.639921117], took 0.20min 2025-12-04T10:37:53.2504631Z Running export/test_tree_utils 1/1 ... [2025-12-04 10:37:53.250067][3912.577002235] 2025-12-04T10:37:53.2505240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:37:53.2508656Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_tree_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:37:53.250541] 2025-12-04T10:37:59.7756872Z 2025-12-04T10:37:59.7758437Z export/test_tree_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_tree_utils_1.1_70020fbba0e0aeb1_.log 2025-12-04T10:37:59.7759501Z Running 0 items in this shard: 2025-12-04T10:37:59.7759736Z 2025-12-04T10:37:59.7760077Z Finished export/test_tree_utils 1/1 ... [2025-12-04 10:37:59.775615][3919.10255085], took 0.11min 2025-12-04T10:37:59.8023264Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_tree_utils/export.test_tree_utils-e6b3d5756e36cd36.xml 2025-12-04T10:38:06.8360439Z Running inductor/test_triton_wrapper 1/1 ... [2025-12-04 10:38:06.835591][3926.162522825] 2025-12-04T10:38:06.8361388Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:38:06.8366469Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_wrapper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:38:06.836193] 2025-12-04T10:38:18.3846516Z 2025-12-04T10:38:18.3848136Z inductor/test_triton_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_wrapper_1.1_375fe2cb545c3f32_.log 2025-12-04T10:38:18.3849687Z Running 0 items in this shard: 2025-12-04T10:38:18.3850075Z 2025-12-04T10:38:18.3850723Z Finished inductor/test_triton_wrapper 1/1 ... [2025-12-04 10:38:18.384546][3937.711482242], took 0.19min 2025-12-04T10:38:18.4005758Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_triton_wrapper/inductor.test_triton_wrapper-ecb7f275d4a9bbd2.xml 2025-12-04T10:38:25.3227767Z Running inductor/test_static_cuda_launcher 1/1 ... [2025-12-04 10:38:25.322354][3944.649289485] 2025-12-04T10:38:25.3228480Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:38:25.3231525Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_static_cuda_launcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:38:25.322832] 2025-12-04T10:38:37.1802175Z 2025-12-04T10:38:37.1803973Z inductor/test_static_cuda_launcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_static_cuda_launcher_1.1_b9cac9f5e3f3e358_.log 2025-12-04T10:38:37.1805697Z Running 0 items in this shard: 2025-12-04T10:38:37.1806073Z 2025-12-04T10:38:37.1806742Z Finished inductor/test_static_cuda_launcher 1/1 ... [2025-12-04 10:38:37.179889][3956.506826158], took 0.20min 2025-12-04T10:38:37.1962639Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_static_cuda_launcher/inductor.test_static_cuda_launcher-cb479e4ee8f7f620.xml 2025-12-04T10:38:44.1855220Z Running export/test_dynamic_shapes 1/1 ... [2025-12-04 10:38:44.185131][3963.512067612] 2025-12-04T10:38:44.1855820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:38:44.1859499Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_dynamic_shapes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:38:44.185630] 2025-12-04T10:38:50.8098481Z 2025-12-04T10:38:50.8099874Z export/test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_dynamic_shapes_1.1_033c3c7e31a7862d_.log 2025-12-04T10:38:50.8101610Z Running 0 items in this shard: 2025-12-04T10:38:50.8102037Z 2025-12-04T10:38:50.8103297Z Finished export/test_dynamic_shapes 1/1 ... [2025-12-04 10:38:50.809794][3970.136729664], took 0.11min 2025-12-04T10:38:50.8269971Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_dynamic_shapes/export.test_dynamic_shapes-854862bdbdf7076e.xml 2025-12-04T10:38:57.7972232Z Running dynamo/test_sdpa 1/1 ... [2025-12-04 10:38:57.796824][3977.123760697] 2025-12-04T10:38:57.7972800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:38:57.7976212Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_sdpa.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:38:57.797313] 2025-12-04T10:39:04.7364486Z 2025-12-04T10:39:04.7365601Z dynamo/test_sdpa 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sdpa_1.1_efbd19dc33b5b41b_.log 2025-12-04T10:39:04.7367070Z Running 0 items in this shard: 2025-12-04T10:39:04.7367483Z 2025-12-04T10:39:04.7368039Z Finished dynamo/test_sdpa 1/1 ... [2025-12-04 10:39:04.736404][3984.063337838], took 0.12min 2025-12-04T10:39:04.7533536Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_sdpa/dynamo.test_sdpa-9c63e2f099f55da2.xml 2025-12-04T10:39:11.9408139Z Running dynamo/test_utils 1/1 ... [2025-12-04 10:39:11.940434][3991.267369834] 2025-12-04T10:39:11.9408712Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:39:11.9411871Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:39:11.940911] 2025-12-04T10:39:18.4476155Z 2025-12-04T10:39:18.4477506Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_6ad66bc184b94a49_.log 2025-12-04T10:39:18.4478893Z Running 0 items in this shard: 2025-12-04T10:39:18.4479211Z 2025-12-04T10:39:18.4479666Z Finished dynamo/test_utils 1/1 ... [2025-12-04 10:39:18.447598][3997.774531487], took 0.11min 2025-12-04T10:39:18.4644671Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_utils/dynamo.test_utils-79f194b3a976377f.xml 2025-12-04T10:39:25.4856491Z Running inductor/test_provenance_tracing 1/1 ... [2025-12-04 10:39:25.485219][4004.812154497] 2025-12-04T10:39:25.4857155Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:39:25.4859997Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_provenance_tracing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:39:25.485704] 2025-12-04T10:39:37.6033009Z 2025-12-04T10:39:37.6034516Z inductor/test_provenance_tracing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_provenance_tracing_1.1_28fd95c88acd948c_.log 2025-12-04T10:39:37.6035592Z Running 0 items in this shard: 2025-12-04T10:39:37.6035828Z 2025-12-04T10:39:37.6036222Z Finished inductor/test_provenance_tracing 1/1 ... [2025-12-04 10:39:37.603237][4016.93017284], took 0.20min 2025-12-04T10:39:37.6203513Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_provenance_tracing/inductor.test_provenance_tracing-8ac1a3a9ba7129e3.xml 2025-12-04T10:39:44.6610242Z Running inductor/test_combo_kernels 1/1 ... [2025-12-04 10:39:44.660606][4023.987541562] 2025-12-04T10:39:44.6610883Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:39:44.6614075Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_combo_kernels.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:39:44.661090] 2025-12-04T10:39:56.7741734Z 2025-12-04T10:39:56.7742830Z inductor/test_combo_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_combo_kernels_1.1_f1921d92c2472009_.log 2025-12-04T10:39:56.7743822Z Running 0 items in this shard: 2025-12-04T10:39:56.7744038Z 2025-12-04T10:39:56.7744412Z Finished inductor/test_combo_kernels 1/1 ... [2025-12-04 10:39:56.774065][4036.100998852], took 0.20min 2025-12-04T10:39:56.8000127Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_combo_kernels/inductor.test_combo_kernels-1d94ef667347538b.xml 2025-12-04T10:40:03.6830356Z Running inductor/test_codegen_triton 1/1 ... [2025-12-04 10:40:03.682645][4043.009581813] 2025-12-04T10:40:03.6831160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:40:03.6834065Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_codegen_triton.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:40:03.683121] 2025-12-04T10:40:15.4978361Z 2025-12-04T10:40:15.4979573Z inductor/test_codegen_triton 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_codegen_triton_1.1_224ecdbda24e1ba9_.log 2025-12-04T10:40:15.4980556Z Running 0 items in this shard: 2025-12-04T10:40:15.4980789Z 2025-12-04T10:40:15.4981202Z Finished inductor/test_codegen_triton 1/1 ... [2025-12-04 10:40:15.497421][4054.82435664], took 0.20min 2025-12-04T10:40:15.5149677Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_codegen_triton/inductor.test_codegen_triton-9b447aa26de5d329.xml 2025-12-04T10:40:22.6889961Z Running dynamo/test_frame_init 1/1 ... [2025-12-04 10:40:22.688567][4062.015501884] 2025-12-04T10:40:22.6890559Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:40:22.6893298Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_frame_init.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:40:22.689021] 2025-12-04T10:40:29.2086251Z 2025-12-04T10:40:29.2087316Z dynamo/test_frame_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_frame_init_1.1_99b0dec5b880c812_.log 2025-12-04T10:40:29.2088361Z Running 0 items in this shard: 2025-12-04T10:40:29.2088595Z 2025-12-04T10:40:29.2088992Z Finished dynamo/test_frame_init 1/1 ... [2025-12-04 10:40:29.208655][4068.53558953], took 0.11min 2025-12-04T10:40:29.2266154Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_frame_init/dynamo.test_frame_init-dc3858ce9755c8a7.xml 2025-12-04T10:40:36.1352127Z Running inductor/test_device_assert 1/1 ... [2025-12-04 10:40:36.134818][4075.461754735] 2025-12-04T10:40:36.1352735Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:40:36.1356120Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_device_assert.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:40:36.135307] 2025-12-04T10:40:47.8373614Z 2025-12-04T10:40:47.8374873Z inductor/test_device_assert 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_device_assert_1.1_53abbffecfa1ad94_.log 2025-12-04T10:40:47.8377029Z Running 0 items in this shard: 2025-12-04T10:40:47.8377379Z 2025-12-04T10:40:47.8377743Z Finished inductor/test_device_assert 1/1 ... [2025-12-04 10:40:47.837305][4087.164240982], took 0.20min 2025-12-04T10:40:47.8560138Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_device_assert/inductor.test_device_assert-c6a7174185982ba3.xml 2025-12-04T10:40:54.8067479Z Running dynamo/test_skip_non_tensor 1/1 ... [2025-12-04 10:40:54.806332][4094.133268335] 2025-12-04T10:40:54.8068084Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:40:54.8071779Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_skip_non_tensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:40:54.806844] 2025-12-04T10:41:01.9187855Z 2025-12-04T10:41:01.9189093Z dynamo/test_skip_non_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_skip_non_tensor_1.1_fd703e0e6f52dc41_.log 2025-12-04T10:41:01.9190101Z Running 0 items in this shard: 2025-12-04T10:41:01.9190338Z 2025-12-04T10:41:01.9190687Z Finished dynamo/test_skip_non_tensor 1/1 ... [2025-12-04 10:41:01.918711][4101.24564678], took 0.12min 2025-12-04T10:41:01.9370566Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_skip_non_tensor/dynamo.test_skip_non_tensor-e7db3d1956909492.xml 2025-12-04T10:41:08.8397467Z Running dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 10:41:08.839358][4108.166294643] 2025-12-04T10:41:08.8398101Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:41:08.8401441Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_skip_guard_eval_unsafe.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:41:08.839842] 2025-12-04T10:41:15.9087934Z 2025-12-04T10:41:15.9089284Z dynamo/test_skip_guard_eval_unsafe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_skip_guard_eval_unsafe_1.1_ca705c8a007fa8dc_.log 2025-12-04T10:41:15.9090513Z Running 0 items in this shard: 2025-12-04T10:41:15.9090752Z 2025-12-04T10:41:15.9091157Z Finished dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 10:41:15.908736][4115.235670878], took 0.12min 2025-12-04T10:41:15.9271128Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_skip_guard_eval_unsafe/dynamo.test_skip_guard_eval_unsafe-9157af0731d80cbd.xml 2025-12-04T10:41:22.9639129Z Running dynamo/test_interop 1/1 ... [2025-12-04 10:41:22.963531][4122.290466657] 2025-12-04T10:41:22.9639793Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:41:22.9643188Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_interop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:41:22.963989] 2025-12-04T10:41:29.8592593Z 2025-12-04T10:41:29.8593585Z dynamo/test_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_interop_1.1_499a07e0d5c11272_.log 2025-12-04T10:41:29.8594493Z Running 0 items in this shard: 2025-12-04T10:41:29.8594720Z 2025-12-04T10:41:29.8595040Z Finished dynamo/test_interop 1/1 ... [2025-12-04 10:41:29.859211][4129.186147205], took 0.11min 2025-12-04T10:41:29.8776436Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_interop/dynamo.test_interop-1aff090714c6dbc4.xml 2025-12-04T10:41:36.7347796Z Running functorch/test_eager_transforms 1/1 ... [2025-12-04 10:41:36.734367][4136.061303287] 2025-12-04T10:41:36.7349801Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:41:36.7351475Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_eager_transforms.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:41:36.734857] 2025-12-04T10:41:46.0454030Z 2025-12-04T10:41:46.0455486Z functorch/test_eager_transforms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_eager_transforms_1.1_c8700ff3406539b9_.log 2025-12-04T10:41:46.0456698Z Running 0 items in this shard: 2025-12-04T10:41:46.0456933Z 2025-12-04T10:41:46.0457368Z Finished functorch/test_eager_transforms 1/1 ... [2025-12-04 10:41:46.045357][4145.372292053], took 0.16min 2025-12-04T10:41:46.0642898Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_eager_transforms/functorch.test_eager_transforms-4bb96c76e57aa6e6.xml 2025-12-04T10:41:53.0064013Z Running inductor/test_control_deps 1/1 ... [2025-12-04 10:41:53.006029][4152.332964757] 2025-12-04T10:41:53.0064623Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:41:53.0068142Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_control_deps.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:41:53.006500] 2025-12-04T10:42:04.6354521Z 2025-12-04T10:42:04.6355586Z inductor/test_control_deps 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_deps_1.1_53a418a33d589fba_.log 2025-12-04T10:42:04.6356554Z Running 0 items in this shard: 2025-12-04T10:42:04.6356787Z 2025-12-04T10:42:04.6357171Z Finished inductor/test_control_deps 1/1 ... [2025-12-04 10:42:04.635353][4163.962288685], took 0.19min 2025-12-04T10:42:04.6660802Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_control_deps/inductor.test_control_deps-1373d1059cb23edd.xml 2025-12-04T10:42:11.8417684Z Running inductor/test_benchmarking 1/1 ... [2025-12-04 10:42:11.841356][4171.168291423] 2025-12-04T10:42:11.8418304Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:42:11.8422146Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_benchmarking.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:42:11.841870] 2025-12-04T10:42:23.5096413Z 2025-12-04T10:42:23.5098101Z inductor/test_benchmarking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmarking_1.1_21e8b3db0a1d432c_.log 2025-12-04T10:42:23.5099120Z Running 0 items in this shard: 2025-12-04T10:42:23.5099351Z 2025-12-04T10:42:23.5099729Z Finished inductor/test_benchmarking 1/1 ... [2025-12-04 10:42:23.509517][4182.836451658], took 0.19min 2025-12-04T10:42:23.5297069Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_benchmarking/inductor.test_benchmarking-888b0e03066dcdd2.xml 2025-12-04T10:42:30.5270531Z Running inductor/test_helion_kernels 1/1 ... [2025-12-04 10:42:30.526644][4189.853579233] 2025-12-04T10:42:30.5271162Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:42:30.5274716Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_helion_kernels.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:42:30.527130] 2025-12-04T10:42:42.1120658Z 2025-12-04T10:42:42.1122873Z inductor/test_helion_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_helion_kernels_1.1_21bd2595f6460df9_.log 2025-12-04T10:42:42.1123899Z Running 0 items in this shard: 2025-12-04T10:42:42.1124128Z 2025-12-04T10:42:42.1124508Z Finished inductor/test_helion_kernels 1/1 ... [2025-12-04 10:42:42.111996][4201.43893061], took 0.19min 2025-12-04T10:42:42.1439384Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_helion_kernels/inductor.test_helion_kernels-6f2d41319d4e7b94.xml 2025-12-04T10:42:49.4267128Z Running inductor/test_quantization 1/1 ... [2025-12-04 10:42:49.426314][4208.75324977] 2025-12-04T10:42:49.4267761Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:42:49.4271348Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_quantization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:42:49.426822] 2025-12-04T10:43:01.1346154Z 2025-12-04T10:43:01.1347665Z inductor/test_quantization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_quantization_1.1_b2426c52640d6028_.log 2025-12-04T10:43:01.1348790Z Running 0 items in this shard: 2025-12-04T10:43:01.1349025Z 2025-12-04T10:43:01.1349488Z Finished inductor/test_quantization 1/1 ... [2025-12-04 10:43:01.134503][4220.461440717], took 0.20min 2025-12-04T10:43:01.1544992Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_quantization/inductor.test_quantization-22316926e6879d6c.xml 2025-12-04T10:43:08.4482740Z Running inductor/test_best_config 1/1 ... [2025-12-04 10:43:08.447896][4227.774832546] 2025-12-04T10:43:08.4483351Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:43:08.4486752Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_best_config.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:43:08.448376] 2025-12-04T10:43:20.2523248Z 2025-12-04T10:43:20.2524424Z inductor/test_best_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_best_config_1.1_ef667ff0802b078f_.log 2025-12-04T10:43:20.2525386Z Running 0 items in this shard: 2025-12-04T10:43:20.2525621Z 2025-12-04T10:43:20.2525972Z Finished inductor/test_best_config 1/1 ... [2025-12-04 10:43:20.252271][4239.579208448], took 0.20min 2025-12-04T10:43:20.2732266Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_best_config/inductor.test_best_config-ca3eb64950f63f66.xml 2025-12-04T10:43:27.3098470Z Running export/test_tools 1/1 ... [2025-12-04 10:43:27.309456][4246.636392211] 2025-12-04T10:43:27.3099046Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:43:27.3102216Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_tools.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:43:27.309940] 2025-12-04T10:43:34.3576152Z 2025-12-04T10:43:34.3577377Z export/test_tools 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_tools_1.1_8caed5daee368fb7_.log 2025-12-04T10:43:34.3578926Z Running 0 items in this shard: 2025-12-04T10:43:34.3579341Z 2025-12-04T10:43:34.3579911Z Finished export/test_tools 1/1 ... [2025-12-04 10:43:34.357551][4253.684487677], took 0.12min 2025-12-04T10:43:34.3783415Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_tools/export.test_tools-15bef5b39a9feee7.xml 2025-12-04T10:43:41.3261759Z Running inductor/test_compiled_optimizers 1/3 ... [2025-12-04 10:43:41.325713][4260.652648555] 2025-12-04T10:43:41.3262950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:43:41.3265822Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compiled_optimizers.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 10:43:41.326221] 2025-12-04T10:43:56.0560480Z 2025-12-04T10:43:56.0561972Z inductor/test_compiled_optimizers 1/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_optimizers_1.3_7b82dfd503237266_.log 2025-12-04T10:43:56.0563055Z Running 0 items in this shard: 2025-12-04T10:43:56.0563276Z 2025-12-04T10:43:56.0563823Z Finished inductor/test_compiled_optimizers 1/3 ... [2025-12-04 10:43:56.056018][4275.382955321], took 0.25min 2025-12-04T10:43:56.0766796Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compiled_optimizers/inductor.test_compiled_optimizers-ed8c2368d779968e.xml 2025-12-04T10:43:56.5509922Z Uploading artifacts took 0.39 seconds 2025-12-04T10:44:03.0139521Z Running inductor/test_control_flow 3/4 ... [2025-12-04 10:44:03.013532][4282.340467359] 2025-12-04T10:44:03.0140222Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:03.0143157Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_control_flow.py', '-m', 'not serial', '--shard-id=3', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:44:03.014018] 2025-12-04T10:44:16.1734898Z 2025-12-04T10:44:16.1736018Z inductor/test_control_flow 3/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_flow_3.4_13b5159e9da8684a_.log 2025-12-04T10:44:16.1737014Z Running 0 items in this shard: 2025-12-04T10:44:16.1737233Z 2025-12-04T10:44:16.1737585Z Finished inductor/test_control_flow 3/4 ... [2025-12-04 10:44:16.173435][4295.500371841], took 0.22min 2025-12-04T10:44:16.1946919Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_control_flow/inductor.test_control_flow-0e75fb5108ea2675.xml 2025-12-04T10:44:23.1048480Z Running inductor/test_needs_exact_strides 1/1 ... [2025-12-04 10:44:23.104411][4302.431344676] 2025-12-04T10:44:23.1049128Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:23.1053694Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_needs_exact_strides.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:44:23.105058] 2025-12-04T10:44:34.9007098Z 2025-12-04T10:44:34.9008459Z inductor/test_needs_exact_strides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_needs_exact_strides_1.1_89f3473359bafc20_.log 2025-12-04T10:44:34.9009499Z Running 0 items in this shard: 2025-12-04T10:44:34.9009737Z 2025-12-04T10:44:34.9010133Z Finished inductor/test_needs_exact_strides 1/1 ... [2025-12-04 10:44:34.900596][4314.227531667], took 0.20min 2025-12-04T10:44:34.9373829Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_needs_exact_strides/inductor.test_needs_exact_strides-acde9ff72bff746e.xml 2025-12-04T10:44:41.8441706Z Running inductor/test_auto_functionalize 1/1 ... [2025-12-04 10:44:41.843727][4321.170662266] 2025-12-04T10:44:41.8442746Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:41.8447243Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_auto_functionalize.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:44:41.844253] 2025-12-04T10:44:48.8338216Z 2025-12-04T10:44:48.8339842Z inductor/test_auto_functionalize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_auto_functionalize_1.1_f8b852def534b583_.log 2025-12-04T10:44:48.8341564Z Running 0 items in this shard: 2025-12-04T10:44:48.8341964Z 2025-12-04T10:44:48.8342620Z Finished inductor/test_auto_functionalize 1/1 ... [2025-12-04 10:44:48.833710][4328.160646416], took 0.12min 2025-12-04T10:44:48.8551477Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_auto_functionalize/inductor.test_auto_functionalize-e057b5a98d549794.xml 2025-12-04T10:44:55.9188343Z Running inductor/test_split_cat_fx_aten_passes 1/1 ... [2025-12-04 10:44:55.918410][4335.245342876] 2025-12-04T10:44:55.9189028Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:44:55.9192314Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_split_cat_fx_aten_passes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:44:55.918930] 2025-12-04T10:45:07.8803219Z 2025-12-04T10:45:07.8804949Z inductor/test_split_cat_fx_aten_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_split_cat_fx_aten_passes_1.1_a4a9ed92cad66917_.log 2025-12-04T10:45:07.8806033Z Running 0 items in this shard: 2025-12-04T10:45:07.8806253Z 2025-12-04T10:45:07.8806655Z Finished inductor/test_split_cat_fx_aten_passes 1/1 ... [2025-12-04 10:45:07.880235][4347.207171634], took 0.20min 2025-12-04T10:45:07.9018215Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_split_cat_fx_aten_passes/inductor.test_split_cat_fx_aten_passes-bb6e5d4b07b39ca3.xml 2025-12-04T10:45:14.7214416Z Running inductor/test_minifier_isolate 1/1 ... [2025-12-04 10:45:14.721049][4354.047985883] 2025-12-04T10:45:14.7215064Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:45:14.7218252Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_minifier_isolate.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:45:14.721510] 2025-12-04T10:45:26.4880075Z 2025-12-04T10:45:26.4881331Z inductor/test_minifier_isolate 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_isolate_1.1_37d662c134c3cf0c_.log 2025-12-04T10:45:26.4882397Z Running 0 items in this shard: 2025-12-04T10:45:26.4882636Z 2025-12-04T10:45:26.4883017Z Finished inductor/test_minifier_isolate 1/1 ... [2025-12-04 10:45:26.487916][4365.814852316], took 0.20min 2025-12-04T10:45:26.5271277Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_minifier_isolate/inductor.test_minifier_isolate-13c0c8c8791e92b8.xml 2025-12-04T10:45:33.6624181Z Running dynamo/test_python_dispatcher 1/1 ... [2025-12-04 10:45:33.662028][4372.988963986] 2025-12-04T10:45:33.6624816Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:45:33.6628199Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_python_dispatcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:45:33.662499] 2025-12-04T10:45:40.7246459Z 2025-12-04T10:45:40.7248134Z dynamo/test_python_dispatcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_dispatcher_1.1_974e4f3ee314836f_.log 2025-12-04T10:45:40.7249167Z Running 0 items in this shard: 2025-12-04T10:45:40.7249386Z 2025-12-04T10:45:40.7249768Z Finished dynamo/test_python_dispatcher 1/1 ... [2025-12-04 10:45:40.724582][4380.051518406], took 0.12min 2025-12-04T10:45:40.7469764Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_python_dispatcher/dynamo.test_python_dispatcher-466f204045540563.xml 2025-12-04T10:45:47.5976948Z Running export/test_swap 1/1 ... [2025-12-04 10:45:47.597293][4386.924229533] 2025-12-04T10:45:47.5979653Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:45:47.5982186Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_swap.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:45:47.597782] 2025-12-04T10:45:54.2894851Z 2025-12-04T10:45:54.2895798Z export/test_swap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_swap_1.1_42ef79769c86e690_.log 2025-12-04T10:45:54.2896650Z Running 0 items in this shard: 2025-12-04T10:45:54.2896881Z 2025-12-04T10:45:54.2897184Z Finished export/test_swap 1/1 ... [2025-12-04 10:45:54.289459][4393.616395003], took 0.11min 2025-12-04T10:45:54.3117770Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_swap/export.test_swap-e28b618c76206e2b.xml 2025-12-04T10:46:01.5103994Z Running export/test_unflatten 1/1 ... [2025-12-04 10:46:01.509956][4400.836891319] 2025-12-04T10:46:01.5104577Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:46:01.5108195Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_unflatten.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:46:01.510441] 2025-12-04T10:46:08.2558953Z 2025-12-04T10:46:08.2560056Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_1183848919d9c47d_.log 2025-12-04T10:46:08.2560992Z Running 0 items in this shard: 2025-12-04T10:46:08.2561226Z 2025-12-04T10:46:08.2561559Z Finished export/test_unflatten 1/1 ... [2025-12-04 10:46:08.255855][4407.58279013], took 0.11min 2025-12-04T10:46:08.2783562Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_unflatten/export.test_unflatten-0566ca10677d85a6.xml 2025-12-04T10:46:15.2069952Z Running dynamo/test_verify_correctness 1/1 ... [2025-12-04 10:46:15.206613][4414.533548553] 2025-12-04T10:46:15.2070590Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:46:15.2073710Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_verify_correctness.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:46:15.207072] 2025-12-04T10:46:22.0170750Z 2025-12-04T10:46:22.0171929Z dynamo/test_verify_correctness 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_verify_correctness_1.1_ba7f89e66d73b17c_.log 2025-12-04T10:46:22.0172959Z Running 0 items in this shard: 2025-12-04T10:46:22.0173183Z 2025-12-04T10:46:22.0173574Z Finished dynamo/test_verify_correctness 1/1 ... [2025-12-04 10:46:22.016996][4421.343932023], took 0.11min 2025-12-04T10:46:22.0398757Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_verify_correctness/dynamo.test_verify_correctness-63e48793a62cee0f.xml 2025-12-04T10:46:29.1087522Z Running inductor/test_fxir_backend 1/1 ... [2025-12-04 10:46:29.108081][4428.43501391] 2025-12-04T10:46:29.1088822Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:46:29.1092804Z 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 10:46:29.108757] 2025-12-04T10:46:40.9915647Z 2025-12-04T10:46:40.9916845Z 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_401107f334d50139_.log 2025-12-04T10:46:40.9917826Z Running 0 items in this shard: 2025-12-04T10:46:40.9918061Z 2025-12-04T10:46:40.9918422Z Finished inductor/test_fxir_backend 1/1 ... [2025-12-04 10:46:40.991504][4440.318441066], took 0.20min 2025-12-04T10:46:41.0144513Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_fxir_backend/inductor.test_fxir_backend-e0d97bba26f87bcf.xml 2025-12-04T10:46:47.8379123Z Running dynamo/test_aot_autograd_cache 1/1 ... [2025-12-04 10:46:47.837489][4447.164424626] 2025-12-04T10:46:47.8379763Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:46:47.8383183Z 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 10:46:47.837999] 2025-12-04T10:46:59.7182459Z 2025-12-04T10:46:59.7184056Z 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_718dcad7ad656439_.log 2025-12-04T10:46:59.7185785Z Running 0 items in this shard: 2025-12-04T10:46:59.7186021Z 2025-12-04T10:46:59.7186406Z Finished dynamo/test_aot_autograd_cache 1/1 ... [2025-12-04 10:46:59.718216][4459.045151058], took 0.20min 2025-12-04T10:46:59.7414577Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_aot_autograd_cache/dynamo.test_aot_autograd_cache-feab984f7c8a3c54.xml 2025-12-04T10:47:06.9615074Z Running inductor/test_mps_basic 1/1 ... [2025-12-04 10:47:06.961089][4466.28802493] 2025-12-04T10:47:06.9616163Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:47:06.9619514Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mps_basic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:47:06.961554] 2025-12-04T10:47:18.9349585Z 2025-12-04T10:47:18.9350786Z inductor/test_mps_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mps_basic_1.1_50db4bec2c38d41c_.log 2025-12-04T10:47:18.9351722Z 2025-12-04T10:47:18.9352066Z Finished inductor/test_mps_basic 1/1 ... [2025-12-04 10:47:18.934871][4478.261806253], took 0.20min 2025-12-04T10:47:25.8578872Z Running test_proxy_tensor 1/1 ... [2025-12-04 10:47:25.857506][4485.184442167] 2025-12-04T10:47:25.8579431Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:47:25.8582769Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_proxy_tensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:47:25.857993] 2025-12-04T10:47:34.9254887Z 2025-12-04T10:47:34.9255916Z test_proxy_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_proxy_tensor_1.1_c0eb118b44e6faa9_.log 2025-12-04T10:47:34.9257307Z Running 0 items in this shard: 2025-12-04T10:47:34.9257545Z 2025-12-04T10:47:34.9257850Z Finished test_proxy_tensor 1/1 ... [2025-12-04 10:47:34.925418][4494.252352859], took 0.15min 2025-12-04T10:47:34.9495063Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_proxy_tensor/test_proxy_tensor-e547f8e10ffdc386.xml 2025-12-04T10:47:42.1737597Z Running torch_np/test_binary_ufuncs 1/1 ... [2025-12-04 10:47:42.173374][4501.500309733] 2025-12-04T10:47:42.1738196Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:47:42.1741585Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_binary_ufuncs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:47:42.173827] 2025-12-04T10:47:48.7866522Z 2025-12-04T10:47:48.7868278Z torch_np/test_binary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_binary_ufuncs_1.1_5502f25931470c98_.log 2025-12-04T10:47:48.7870060Z Running 0 items in this shard: 2025-12-04T10:47:48.7870449Z 2025-12-04T10:47:48.7871109Z Finished torch_np/test_binary_ufuncs 1/1 ... [2025-12-04 10:47:48.786561][4508.113497639], took 0.11min 2025-12-04T10:47:48.8103737Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_binary_ufuncs/torch_np.test_binary_ufuncs-a3f117bad2aa522b.xml 2025-12-04T10:47:55.7581697Z Running torch_np/test_unary_ufuncs 1/1 ... [2025-12-04 10:47:55.757767][4515.084702751] 2025-12-04T10:47:55.7582326Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:47:55.7585486Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_unary_ufuncs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:47:55.758245] 2025-12-04T10:48:02.5660319Z 2025-12-04T10:48:02.5661915Z torch_np/test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_unary_ufuncs_1.1_868ddb30f6c257ec_.log 2025-12-04T10:48:02.5663378Z Running 0 items in this shard: 2025-12-04T10:48:02.5663734Z 2025-12-04T10:48:02.5664358Z Finished torch_np/test_unary_ufuncs 1/1 ... [2025-12-04 10:48:02.565944][4521.892878534], took 0.11min 2025-12-04T10:48:02.5903691Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_unary_ufuncs/torch_np.test_unary_ufuncs-6f03babf9ce15c1d.xml 2025-12-04T10:48:09.7299138Z Running test_utils_filelock 1/1 ... [2025-12-04 10:48:09.729473][4529.056409163] 2025-12-04T10:48:09.7300015Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:48:09.7304363Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_utils_filelock.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:48:09.730012] 2025-12-04T10:48:16.4345475Z 2025-12-04T10:48:16.4346645Z test_utils_filelock 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_filelock_1.1_18ebe25fd0deb9fc_.log 2025-12-04T10:48:16.4347552Z Running 0 items in this shard: 2025-12-04T10:48:16.4347775Z 2025-12-04T10:48:16.4348094Z Finished test_utils_filelock 1/1 ... [2025-12-04 10:48:16.434448][4535.761384904], took 0.11min 2025-12-04T10:48:16.4592188Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_utils_filelock/test_utils_filelock-0bde617903990d4e.xml 2025-12-04T10:48:23.4646885Z Running test_rename_privateuse1_to_existing_device 1/1 ... [2025-12-04 10:48:23.464279][4542.791212056] 2025-12-04T10:48:23.4648010Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:48:23.4650793Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_rename_privateuse1_to_existing_device.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:48:23.464764] 2025-12-04T10:48:30.1462285Z 2025-12-04T10:48:30.1463660Z test_rename_privateuse1_to_existing_device 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_rename_privateuse1_to_existing_device_1.1_00d3f45b91e072b1_.log 2025-12-04T10:48:30.1464765Z Running 0 items in this shard: 2025-12-04T10:48:30.1464998Z 2025-12-04T10:48:30.1465428Z Finished test_rename_privateuse1_to_existing_device 1/1 ... [2025-12-04 10:48:30.146200][4549.473134798], took 0.11min 2025-12-04T10:48:30.1710358Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_rename_privateuse1_to_existing_device/test_rename_privateuse1_to_existing_device-72a226cbcdb815fa.xml 2025-12-04T10:48:37.1883408Z Running nn/attention/test_fa4 1/1 ... [2025-12-04 10:48:37.187954][4556.514890142] 2025-12-04T10:48:37.1884011Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:48:37.1886895Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/attention/test_fa4.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:48:37.188422] 2025-12-04T10:48:44.2011167Z 2025-12-04T10:48:44.2012257Z nn/attention/test_fa4 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.attention.test_fa4_1.1_cf37d1ecd58aa919_.log 2025-12-04T10:48:44.2013199Z Running 0 items in this shard: 2025-12-04T10:48:44.2013433Z 2025-12-04T10:48:44.2013805Z Finished nn/attention/test_fa4 1/1 ... [2025-12-04 10:48:44.201019][4563.527956388], took 0.12min 2025-12-04T10:48:44.2258991Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.attention.test_fa4/nn.attention.test_fa4-cae85cd841977d9a.xml 2025-12-04T10:48:51.3042262Z Running typing/test_python_operators 1/1 ... [2025-12-04 10:48:51.303772][4570.630708638] 2025-12-04T10:48:51.3043423Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:48:51.3045515Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'typing/test_python_operators.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:48:51.304240] 2025-12-04T10:48:58.6203258Z 2025-12-04T10:48:58.6204542Z typing/test_python_operators 1/1 was successful, full logs can be found in artifacts with path test/test-reports/typing.test_python_operators_1.1_7306217cefde8bc9_.log 2025-12-04T10:48:58.6205559Z Running 0 items in this shard: 2025-12-04T10:48:58.6205780Z 2025-12-04T10:48:58.6206163Z Finished typing/test_python_operators 1/1 ... [2025-12-04 10:48:58.620209][4577.947145938], took 0.12min 2025-12-04T10:48:58.6457210Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/typing.test_python_operators/typing.test_python_operators-8385061a43e74acf.xml 2025-12-04T10:49:05.6461578Z Running test_functionalization 1/1 ... [2025-12-04 10:49:05.645706][4584.972641687] 2025-12-04T10:49:05.6462265Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:49:05.6464961Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functionalization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:49:05.646177] 2025-12-04T10:49:12.4812764Z 2025-12-04T10:49:12.4813800Z test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_1.1_ac7d493348b5eb6f_.log 2025-12-04T10:49:12.4814743Z Running 0 items in this shard: 2025-12-04T10:49:12.4814983Z 2025-12-04T10:49:12.4815343Z Finished test_functionalization 1/1 ... [2025-12-04 10:49:12.481144][4591.808081528], took 0.11min 2025-12-04T10:49:12.5069136Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functionalization/test_functionalization-9060034f06dd3097.xml 2025-12-04T10:49:19.6089582Z Running torch_np/test_dtype 1/1 ... [2025-12-04 10:49:19.608559][4598.935495022] 2025-12-04T10:49:19.6090150Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:49:19.6093041Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_dtype.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:49:19.609019] 2025-12-04T10:49:26.3208208Z 2025-12-04T10:49:26.3209334Z torch_np/test_dtype 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_dtype_1.1_2e8e930bba84f5ed_.log 2025-12-04T10:49:26.3210246Z Running 0 items in this shard: 2025-12-04T10:49:26.3210463Z 2025-12-04T10:49:26.3210794Z Finished torch_np/test_dtype 1/1 ... [2025-12-04 10:49:26.320742][4605.647679018], took 0.11min 2025-12-04T10:49:26.3462794Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_dtype/torch_np.test_dtype-639192f51f3eaa9e.xml 2025-12-04T10:49:33.3369224Z Running test_file_check 1/1 ... [2025-12-04 10:49:33.336526][4612.663462725] 2025-12-04T10:49:33.3369788Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:49:33.3373315Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_file_check.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:49:33.337034] 2025-12-04T10:49:39.9257621Z 2025-12-04T10:49:39.9258843Z test_file_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_file_check_1.1_5c6da41aa311462b_.log 2025-12-04T10:49:39.9259711Z Running 0 items in this shard: 2025-12-04T10:49:39.9259930Z 2025-12-04T10:49:39.9260236Z Finished test_file_check 1/1 ... [2025-12-04 10:49:39.925692][4619.252627723], took 0.11min 2025-12-04T10:49:39.9514383Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_file_check/test_file_check-2a0562f7f383e404.xml 2025-12-04T10:49:46.9305550Z Running profiler/test_kineto 1/1 ... [2025-12-04 10:49:46.930162][4626.257095882] 2025-12-04T10:49:46.9306145Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:49:46.9309449Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_kineto.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:49:46.930664] 2025-12-04T10:49:53.5513729Z 2025-12-04T10:49:53.5514825Z profiler/test_kineto 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_kineto_1.1_cd54519d410750c8_.log 2025-12-04T10:49:53.5515823Z Running 0 items in this shard: 2025-12-04T10:49:53.5516047Z 2025-12-04T10:49:53.5516457Z Finished profiler/test_kineto 1/1 ... [2025-12-04 10:49:53.551299][4632.878235229], took 0.11min 2025-12-04T10:49:53.5772255Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_kineto/profiler.test_kineto-ed7572ed67cc2464.xml 2025-12-04T10:50:00.5678737Z Running test_flop_counter 1/1 ... [2025-12-04 10:50:00.567357][4639.894292213] 2025-12-04T10:50:00.5680446Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:50:00.5681915Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_flop_counter.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:50:00.567852] 2025-12-04T10:50:08.0837297Z 2025-12-04T10:50:08.0838665Z test_flop_counter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_flop_counter_1.1_4a8dc29c811ec76c_.log 2025-12-04T10:50:08.0840136Z Running 0 items in this shard: 2025-12-04T10:50:08.0840502Z 2025-12-04T10:50:08.0841025Z Finished test_flop_counter 1/1 ... [2025-12-04 10:50:08.083673][4647.410610379], took 0.13min 2025-12-04T10:50:08.1301345Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_flop_counter/test_flop_counter-247483c9c34d0cfb.xml 2025-12-04T10:50:15.0726179Z Running backends/xeon/test_launch 1/1 ... [2025-12-04 10:50:15.071922][4654.398857369] 2025-12-04T10:50:15.0727250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:50:15.0729911Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'backends/xeon/test_launch.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:50:15.072413] 2025-12-04T10:50:21.7850079Z 2025-12-04T10:50:21.7851244Z backends/xeon/test_launch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/backends.xeon.test_launch_1.1_9e8a51103c0cc4c2_.log 2025-12-04T10:50:21.7852439Z Running 0 items in this shard: 2025-12-04T10:50:21.7852661Z 2025-12-04T10:50:21.7853043Z Finished backends/xeon/test_launch 1/1 ... [2025-12-04 10:50:21.785066][4661.111999219], took 0.11min 2025-12-04T10:50:21.8113063Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/backends.xeon.test_launch/backends.xeon.test_launch-2eb597a865b5f654.xml 2025-12-04T10:50:28.8159037Z Running test_openmp 1/1 ... [2025-12-04 10:50:28.815479][4668.14241534] 2025-12-04T10:50:28.8159920Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:50:28.8163058Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_openmp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:50:28.815954] 2025-12-04T10:50:35.5803035Z 2025-12-04T10:50:35.5804032Z test_openmp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openmp_1.1_adc530d12d55fda7_.log 2025-12-04T10:50:35.5804830Z Running 0 items in this shard: 2025-12-04T10:50:35.5805095Z 2025-12-04T10:50:35.5805383Z Finished test_openmp 1/1 ... [2025-12-04 10:50:35.580224][4674.907160459], took 0.11min 2025-12-04T10:50:35.6068690Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_openmp/test_openmp-6d160552786b424d.xml 2025-12-04T10:50:42.7804048Z Running test_expanded_weights 1/1 ... [2025-12-04 10:50:42.780013][4682.106948268] 2025-12-04T10:50:42.7804643Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:50:42.7807836Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_expanded_weights.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:50:42.780491] 2025-12-04T10:50:51.5953599Z 2025-12-04T10:50:51.5955328Z test_expanded_weights 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_expanded_weights_1.1_a4ea9d062f08f05b_.log 2025-12-04T10:50:51.5956608Z Running 0 items in this shard: 2025-12-04T10:50:51.5956867Z 2025-12-04T10:50:51.5957413Z Finished test_expanded_weights 1/1 ... [2025-12-04 10:50:51.595308][4690.92224444], took 0.15min 2025-12-04T10:50:51.6220043Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_expanded_weights/test_expanded_weights-d50103f8326ef6f1.xml 2025-12-04T10:50:58.6424485Z Running test_module_tracker 1/1 ... [2025-12-04 10:50:58.642049][4697.968985295] 2025-12-04T10:50:58.6425068Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:50:58.6429219Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_module_tracker.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:50:58.642562] 2025-12-04T10:51:05.2413663Z 2025-12-04T10:51:05.2415070Z test_module_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_module_tracker_1.1_d71acf0863517e9e_.log 2025-12-04T10:51:05.2416359Z Running 0 items in this shard: 2025-12-04T10:51:05.2416681Z 2025-12-04T10:51:05.2417238Z Finished test_module_tracker 1/1 ... [2025-12-04 10:51:05.241320][4704.568253565], took 0.11min 2025-12-04T10:51:05.2689124Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_module_tracker/test_module_tracker-9199695e8091f66c.xml 2025-12-04T10:51:12.3509973Z Running torch_np/numpy_tests/core/test_scalarinherit 1/1 ... [2025-12-04 10:51:12.350598][4711.67753345] 2025-12-04T10:51:12.3510682Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:51:12.3513996Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarinherit.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:51:12.351101] 2025-12-04T10:51:19.0514481Z 2025-12-04T10:51:19.0516079Z torch_np/numpy_tests/core/test_scalarinherit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarinherit_1.1_e0337e001ef927b9_.log 2025-12-04T10:51:19.0517929Z Running 0 items in this shard: 2025-12-04T10:51:19.0518346Z 2025-12-04T10:51:19.0519162Z Finished torch_np/numpy_tests/core/test_scalarinherit 1/1 ... [2025-12-04 10:51:19.051370][4718.378306858], took 0.11min 2025-12-04T10:51:19.0787514Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalarinherit/torch_np.numpy_tests.core.test_scalarinherit-64073d914bfb5af7.xml 2025-12-04T10:51:26.0982128Z Running test_tensorexpr_pybind 1/1 ... [2025-12-04 10:51:26.097805][4725.424737292] 2025-12-04T10:51:26.0982731Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:51:26.0986294Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_tensorexpr_pybind.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:51:26.098317] 2025-12-04T10:51:32.7983549Z 2025-12-04T10:51:32.7984618Z test_tensorexpr_pybind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_pybind_1.1_f823d9bb2b1e7712_.log 2025-12-04T10:51:32.7985663Z Running 0 items in this shard: 2025-12-04T10:51:32.7985886Z 2025-12-04T10:51:32.7986230Z Finished test_tensorexpr_pybind 1/1 ... [2025-12-04 10:51:32.798207][4732.125141152], took 0.11min 2025-12-04T10:51:32.8257675Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_tensorexpr_pybind/test_tensorexpr_pybind-1998d25282e24aa3.xml 2025-12-04T10:51:39.9303736Z Running test_fx_experimental 1/1 ... [2025-12-04 10:51:39.929890][4739.256826522] 2025-12-04T10:51:39.9304467Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:51:39.9306573Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx_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 10:51:39.930392] 2025-12-04T10:51:50.0751428Z 2025-12-04T10:51:50.0752533Z test_fx_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_experimental_1.1_1ed6ca42e3f9bb1f_.log 2025-12-04T10:51:50.0753438Z Running 0 items in this shard: 2025-12-04T10:51:50.0753673Z 2025-12-04T10:51:50.0753993Z Finished test_fx_experimental 1/1 ... [2025-12-04 10:51:50.075095][4749.402030226], took 0.17min 2025-12-04T10:51:50.1028808Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx_experimental/test_fx_experimental-cf3f4acb5f6474ef.xml 2025-12-04T10:51:57.5415257Z Running functorch/test_ac_knapsack 1/1 ... [2025-12-04 10:51:57.541088][4756.868023318] 2025-12-04T10:51:57.5415884Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:51:57.5419000Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ac_knapsack.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:51:57.541576] 2025-12-04T10:52:04.4723130Z 2025-12-04T10:52:04.4724353Z functorch/test_ac_knapsack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_knapsack_1.1_f9afc5b3dd96c38c_.log 2025-12-04T10:52:04.4725345Z Running 0 items in this shard: 2025-12-04T10:52:04.4725565Z 2025-12-04T10:52:04.4725990Z Finished functorch/test_ac_knapsack 1/1 ... [2025-12-04 10:52:04.472233][4763.799168387], took 0.12min 2025-12-04T10:52:04.5002749Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ac_knapsack/functorch.test_ac_knapsack-02869e66ab61f78a.xml 2025-12-04T10:52:11.5771307Z Running torch_np/test_nep50_examples 1/1 ... [2025-12-04 10:52:11.576711][4770.903645797] 2025-12-04T10:52:11.5771950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:52:11.5776158Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_nep50_examples.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:52:11.577237] 2025-12-04T10:52:21.6117760Z 2025-12-04T10:52:21.6118925Z torch_np/test_nep50_examples 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_nep50_examples_1.1_cf2e729664111749_.log 2025-12-04T10:52:21.6119930Z Running 0 items in this shard: 2025-12-04T10:52:21.6120153Z 2025-12-04T10:52:21.6120512Z Finished torch_np/test_nep50_examples 1/1 ... [2025-12-04 10:52:21.611686][4780.938619566], took 0.17min 2025-12-04T10:52:21.6400494Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_nep50_examples/torch_np.test_nep50_examples-c34482e14e57c2c7.xml 2025-12-04T10:52:28.8808747Z Running test_fx_passes 1/1 ... [2025-12-04 10:52:28.880466][4788.207401439] 2025-12-04T10:52:28.8809313Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:52:28.8812516Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx_passes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:52:28.880956] 2025-12-04T10:52:35.8164366Z 2025-12-04T10:52:35.8165622Z test_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_passes_1.1_ba3a1f70f99bd0c5_.log 2025-12-04T10:52:35.8166493Z Running 0 items in this shard: 2025-12-04T10:52:35.8166730Z 2025-12-04T10:52:35.8167023Z Finished test_fx_passes 1/1 ... [2025-12-04 10:52:35.816362][4795.143298068], took 0.12min 2025-12-04T10:52:35.8452718Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_fx_passes/test_fx_passes-b786562677f781fa.xml 2025-12-04T10:52:43.1709156Z Running functorch/test_logging 1/1 ... [2025-12-04 10:52:43.170489][4802.497424604] 2025-12-04T10:52:43.1709754Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:52:43.1712996Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_logging.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:52:43.170995] 2025-12-04T10:52:50.4335079Z 2025-12-04T10:52:50.4336374Z functorch/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_logging_1.1_3920ada76cbffff7_.log 2025-12-04T10:52:50.4337315Z Running 0 items in this shard: 2025-12-04T10:52:50.4337535Z 2025-12-04T10:52:50.4337883Z Finished functorch/test_logging 1/1 ... [2025-12-04 10:52:50.433420][4809.760356131], took 0.12min 2025-12-04T10:52:50.4623264Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_logging/functorch.test_logging-b246b11f1ee25342.xml 2025-12-04T10:52:57.6766765Z Running test_namedtensor 1/1 ... [2025-12-04 10:52:57.676214][4817.003145532] 2025-12-04T10:52:57.6767787Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:52:57.6771350Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_namedtensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:52:57.676748] 2025-12-04T10:53:04.9877258Z 2025-12-04T10:53:04.9878284Z test_namedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtensor_1.1_a3684af983f1160f_.log 2025-12-04T10:53:04.9879214Z Running 0 items in this shard: 2025-12-04T10:53:04.9879429Z 2025-12-04T10:53:04.9879737Z Finished test_namedtensor 1/1 ... [2025-12-04 10:53:04.987686][4824.314619803], took 0.12min 2025-12-04T10:53:05.0167868Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_namedtensor/test_namedtensor-41149af3e565db4b.xml 2025-12-04T10:53:12.1647378Z Running functorch/test_minifier 1/1 ... [2025-12-04 10:53:12.164329][4831.491264185] 2025-12-04T10:53:12.1647982Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:53:12.1651304Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_minifier.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:53:12.164830] 2025-12-04T10:53:19.3556423Z 2025-12-04T10:53:19.3557571Z functorch/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_minifier_1.1_a90f03ae35e0f0ea_.log 2025-12-04T10:53:19.3558621Z Running 0 items in this shard: 2025-12-04T10:53:19.3558852Z 2025-12-04T10:53:19.3559198Z Finished functorch/test_minifier 1/1 ... [2025-12-04 10:53:19.355635][4838.682567116], took 0.12min 2025-12-04T10:53:19.3861474Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_minifier/functorch.test_minifier-7766a623d116b44f.xml 2025-12-04T10:53:26.5569027Z Running higher_order_ops/test_invoke_quant 1/1 ... [2025-12-04 10:53:26.556479][4845.883411974] 2025-12-04T10:53:26.5569823Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:53:26.5574501Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_invoke_quant.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:53:26.557157] 2025-12-04T10:53:38.5922921Z 2025-12-04T10:53:38.5924138Z higher_order_ops/test_invoke_quant 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_quant_1.1_f70be2d9f2ec10f7_.log 2025-12-04T10:53:38.5925266Z Running 0 items in this shard: 2025-12-04T10:53:38.5925485Z 2025-12-04T10:53:38.5925893Z Finished higher_order_ops/test_invoke_quant 1/1 ... [2025-12-04 10:53:38.592240][4857.919174393], took 0.20min 2025-12-04T10:53:38.6215342Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_quant/higher_order_ops.test_invoke_quant-1a410a0e44313cff.xml 2025-12-04T10:53:45.7397820Z Running torch_np/test_basic 1/1 ... [2025-12-04 10:53:45.739376][4865.06631246] 2025-12-04T10:53:45.7398394Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:53:45.7401791Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_basic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:53:45.739830] 2025-12-04T10:53:53.7735595Z 2025-12-04T10:53:53.7736718Z torch_np/test_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_basic_1.1_9299cbbdd8eaeaea_.log 2025-12-04T10:53:53.7737960Z Running 0 items in this shard: 2025-12-04T10:53:53.7738315Z 2025-12-04T10:53:53.7738830Z Finished torch_np/test_basic 1/1 ... [2025-12-04 10:53:53.773514][4873.100450365], took 0.13min 2025-12-04T10:53:53.8034519Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_basic/torch_np.test_basic-ff9c838c5dab9519.xml 2025-12-04T10:54:00.8079653Z Running test_jiterator 1/1 ... [2025-12-04 10:54:00.807561][4880.134497381] 2025-12-04T10:54:00.8080225Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:54:00.8083756Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jiterator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:54:00.808051] 2025-12-04T10:54:08.2947205Z 2025-12-04T10:54:08.2948463Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_dd1d38a2228925d2_.log 2025-12-04T10:54:08.2949373Z Running 0 items in this shard: 2025-12-04T10:54:08.2949596Z 2025-12-04T10:54:08.2949891Z Finished test_jiterator 1/1 ... [2025-12-04 10:54:08.294674][4887.621608091], took 0.12min 2025-12-04T10:54:08.3254008Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_jiterator/test_jiterator-5d463e01959114f1.xml 2025-12-04T10:54:15.3965445Z Running test_native_functions 1/1 ... [2025-12-04 10:54:15.396121][4894.723056912] 2025-12-04T10:54:15.3966428Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:54:15.3970351Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_native_functions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:54:15.396635] 2025-12-04T10:54:22.0595609Z 2025-12-04T10:54:22.0596965Z test_native_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_functions_1.1_420a7dc651887e4b_.log 2025-12-04T10:54:22.0598031Z Running 0 items in this shard: 2025-12-04T10:54:22.0598272Z 2025-12-04T10:54:22.0598599Z Finished test_native_functions 1/1 ... [2025-12-04 10:54:22.059488][4901.38642273], took 0.11min 2025-12-04T10:54:22.0900389Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_native_functions/test_native_functions-76bd929015c784da.xml 2025-12-04T10:54:29.1789713Z Running test_typing 1/1 ... [2025-12-04 10:54:29.178513][4908.505449218] 2025-12-04T10:54:29.1790669Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:54:29.1794120Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_typing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:54:29.179001] 2025-12-04T10:54:35.8347484Z 2025-12-04T10:54:35.8348490Z test_typing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_typing_1.1_b5d14001c8abf768_.log 2025-12-04T10:54:35.8349367Z Running 0 items in this shard: 2025-12-04T10:54:35.8349586Z 2025-12-04T10:54:35.8349874Z Finished test_typing 1/1 ... [2025-12-04 10:54:35.834726][4915.161662328], took 0.11min 2025-12-04T10:54:35.8651207Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_typing/test_typing-21775384b86bb7d7.xml 2025-12-04T10:54:43.1825730Z Running functorch/test_control_flow 2/2 ... [2025-12-04 10:54:43.182144][4922.509076883] 2025-12-04T10:54:43.1826367Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:54:43.1829474Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_control_flow.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:54:43.182651] 2025-12-04T10:54:55.0345820Z 2025-12-04T10:54:55.0346939Z functorch/test_control_flow 2/2 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_control_flow_2.2_07d06ac36b7dceb4_.log 2025-12-04T10:54:55.0347933Z Running 0 items in this shard: 2025-12-04T10:54:55.0348154Z 2025-12-04T10:54:55.0348516Z Finished functorch/test_control_flow 2/2 ... [2025-12-04 10:54:55.034500][4934.361436974], took 0.20min 2025-12-04T10:54:55.0651208Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_control_flow/functorch.test_control_flow-1668b17cba988853.xml 2025-12-04T10:55:02.1311265Z Running complex_tensor/test_complex_tensor 1/1 ... [2025-12-04 10:55:02.130713][4941.457649128] 2025-12-04T10:55:02.1311916Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:02.1315105Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'complex_tensor/test_complex_tensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:55:02.131213] 2025-12-04T10:55:11.3599274Z 2025-12-04T10:55:11.3600429Z complex_tensor/test_complex_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/complex_tensor.test_complex_tensor_1.1_3ca1687833dede00_.log 2025-12-04T10:55:11.3601491Z Running 0 items in this shard: 2025-12-04T10:55:11.3601726Z 2025-12-04T10:55:11.3602121Z Finished complex_tensor/test_complex_tensor 1/1 ... [2025-12-04 10:55:11.359927][4950.68686128], took 0.15min 2025-12-04T10:55:11.3908531Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/complex_tensor.test_complex_tensor/complex_tensor.test_complex_tensor-58738b7a5adbf88c.xml 2025-12-04T10:55:18.3949344Z Running test_xnnpack_integration 1/1 ... [2025-12-04 10:55:18.394527][4957.721463137] 2025-12-04T10:55:18.3949948Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:18.3952413Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_xnnpack_integration.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:55:18.394954] 2025-12-04T10:55:25.1390754Z 2025-12-04T10:55:25.1391852Z test_xnnpack_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_xnnpack_integration_1.1_6ed24a4725a85bb6_.log 2025-12-04T10:55:25.1392926Z Running 0 items in this shard: 2025-12-04T10:55:25.1393158Z 2025-12-04T10:55:25.1393566Z Finished test_xnnpack_integration 1/1 ... [2025-12-04 10:55:25.138996][4964.465931171], took 0.11min 2025-12-04T10:55:25.1703595Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_xnnpack_integration/test_xnnpack_integration-58273b905cdea0e7.xml 2025-12-04T10:55:32.2580089Z Running torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 10:55:32.257614][4971.584550118] 2025-12-04T10:55:32.2580839Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:32.2584255Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numerictypes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:55:32.258132] 2025-12-04T10:55:39.0088298Z 2025-12-04T10:55:39.0089591Z torch_np/numpy_tests/core/test_numerictypes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numerictypes_1.1_6ebf40d9771e09dd_.log 2025-12-04T10:55:39.0090774Z Running 0 items in this shard: 2025-12-04T10:55:39.0091020Z 2025-12-04T10:55:39.0091468Z Finished torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-12-04 10:55:39.008695][4978.335632478], took 0.11min 2025-12-04T10:55:39.0403366Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_numerictypes/torch_np.numpy_tests.core.test_numerictypes-d346169df6a7e684.xml 2025-12-04T10:55:46.0060972Z Running test_function_schema 1/1 ... [2025-12-04 10:55:46.005676][4985.332611983] 2025-12-04T10:55:46.0061559Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:46.0064559Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_function_schema.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:55:46.006169] 2025-12-04T10:55:52.6397157Z 2025-12-04T10:55:52.6398270Z test_function_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_function_schema_1.1_654c033894b5f759_.log 2025-12-04T10:55:52.6399181Z Running 0 items in this shard: 2025-12-04T10:55:52.6399401Z 2025-12-04T10:55:52.6399734Z Finished test_function_schema 1/1 ... [2025-12-04 10:55:52.639648][4991.966584748], took 0.11min 2025-12-04T10:55:52.6709305Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_function_schema/test_function_schema-ba6c9504dd150935.xml 2025-12-04T10:55:59.5587334Z Running test_accelerator 1/1 ... [2025-12-04 10:55:59.558359][4998.885294641] 2025-12-04T10:55:59.5587893Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:55:59.5591383Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_accelerator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:55:59.558829] 2025-12-04T10:56:06.3708420Z 2025-12-04T10:56:06.3709449Z test_accelerator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_accelerator_1.1_9c7b9c67e3311d6b_.log 2025-12-04T10:56:06.3710320Z Running 0 items in this shard: 2025-12-04T10:56:06.3710540Z 2025-12-04T10:56:06.3710864Z Finished test_accelerator 1/1 ... [2025-12-04 10:56:06.370768][5005.69770367], took 0.11min 2025-12-04T10:56:06.4289710Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_accelerator/test_accelerator-d6d995c6527c5459.xml 2025-12-04T10:56:13.5469768Z Running nn/test_init 1/1 ... [2025-12-04 10:56:13.546553][5012.873488894] 2025-12-04T10:56:13.5470294Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:56:13.5473703Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_init.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:56:13.547055] 2025-12-04T10:56:20.6483961Z 2025-12-04T10:56:20.6486500Z nn/test_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_init_1.1_ff7a87f40076006c_.log 2025-12-04T10:56:20.6487835Z Running 0 items in this shard: 2025-12-04T10:56:20.6488212Z 2025-12-04T10:56:20.6488661Z Finished nn/test_init 1/1 ... [2025-12-04 10:56:20.648399][5019.975331382], took 0.12min 2025-12-04T10:56:20.6806190Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/nn.test_init/nn.test_init-1fe2bbae64b9f8b7.xml 2025-12-04T10:56:27.7694562Z Running torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 10:56:27.769055][5027.095991757] 2025-12-04T10:56:27.7695255Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:56:27.7698236Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_methods.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:56:27.769537] 2025-12-04T10:56:34.8870518Z 2025-12-04T10:56:34.8871783Z torch_np/numpy_tests/core/test_scalar_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_methods_1.1_b8ebb3b090766b48_.log 2025-12-04T10:56:34.8872938Z Running 0 items in this shard: 2025-12-04T10:56:34.8873155Z 2025-12-04T10:56:34.8873601Z Finished torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-12-04 10:56:34.887000][5034.213935921], took 0.12min 2025-12-04T10:56:34.9197572Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_methods/torch_np.numpy_tests.core.test_scalar_methods-988af08bba6a314d.xml 2025-12-04T10:56:41.8920106Z Running torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 10:56:41.891571][5041.218507571] 2025-12-04T10:56:41.8921274Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:56:41.8924563Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_helper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:56:41.892065] 2025-12-04T10:56:48.5874166Z 2025-12-04T10:56:48.5875397Z torch_np/numpy_tests/fft/test_helper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_helper_1.1_b18d8a9235ffd89b_.log 2025-12-04T10:56:48.5876584Z Running 0 items in this shard: 2025-12-04T10:56:48.5876903Z 2025-12-04T10:56:48.5877655Z Finished torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-12-04 10:56:48.587375][5047.914312703], took 0.11min 2025-12-04T10:56:48.6198155Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.fft.test_helper/torch_np.numpy_tests.fft.test_helper-a1bc6f097a6bf1b8.xml 2025-12-04T10:56:55.6749352Z Running torch_np/test_function_base 1/1 ... [2025-12-04 10:56:55.674533][5055.001468479] 2025-12-04T10:56:55.6749961Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:56:55.6753004Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_function_base.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:56:55.674993] 2025-12-04T10:57:02.3215026Z 2025-12-04T10:57:02.3216289Z torch_np/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_function_base_1.1_e1e90b46d3e89e7b_.log 2025-12-04T10:57:02.3217268Z Running 0 items in this shard: 2025-12-04T10:57:02.3217498Z 2025-12-04T10:57:02.3217863Z Finished torch_np/test_function_base 1/1 ... [2025-12-04 10:57:02.321419][5061.648356078], took 0.11min 2025-12-04T10:57:02.3753463Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_function_base/torch_np.test_function_base-876355a3ef3c6ae0.xml 2025-12-04T10:57:09.2942774Z Running test_type_promotion 1/1 ... [2025-12-04 10:57:09.293861][5068.620797042] 2025-12-04T10:57:09.2943351Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:57:09.2946688Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_type_promotion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:57:09.294329] 2025-12-04T10:57:17.2511227Z 2025-12-04T10:57:17.2512227Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_9473b3885a0c4c8a_.log 2025-12-04T10:57:17.2513133Z Running 0 items in this shard: 2025-12-04T10:57:17.2513354Z 2025-12-04T10:57:17.2513671Z Finished test_type_promotion 1/1 ... [2025-12-04 10:57:17.251042][5076.577979018], took 0.13min 2025-12-04T10:57:17.2838700Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_type_promotion/test_type_promotion-bc87ede218bb2d1c.xml 2025-12-04T10:57:24.6314211Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 10:57:24.631037][5083.957972273] 2025-12-04T10:57:24.6314842Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:57:24.6318167Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:57:24.631499] 2025-12-04T10:57:31.4382058Z 2025-12-04T10:57:31.4383170Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_8509ce4e552204bf_.log 2025-12-04T10:57:31.4384180Z Running 0 items in this shard: 2025-12-04T10:57:31.4384401Z 2025-12-04T10:57:31.4384785Z Finished torch_np/test_scalars_0D_arrays 1/1 ... [2025-12-04 10:57:31.438185][5090.765118679], took 0.11min 2025-12-04T10:57:31.4717695Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_scalars_0D_arrays/torch_np.test_scalars_0D_arrays-71bf5aeef276dc8a.xml 2025-12-04T10:57:38.6224759Z Running profiler/test_profiler_tree 1/1 ... [2025-12-04 10:57:38.622046][5097.948980031] 2025-12-04T10:57:38.6225402Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:57:38.6229029Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_profiler_tree.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:57:38.622566] 2025-12-04T10:57:45.3744791Z 2025-12-04T10:57:45.3745970Z profiler/test_profiler_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_tree_1.1_07fe88e21b83e82d_.log 2025-12-04T10:57:45.3747132Z Running 0 items in this shard: 2025-12-04T10:57:45.3747376Z 2025-12-04T10:57:45.3747773Z Finished profiler/test_profiler_tree 1/1 ... [2025-12-04 10:57:45.374382][5104.701316962], took 0.11min 2025-12-04T10:57:45.4078786Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_profiler_tree/profiler.test_profiler_tree-27699adae1ed41d9.xml 2025-12-04T10:57:52.4956236Z Running torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 10:57:52.495143][5111.822076425] 2025-12-04T10:57:52.4957349Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:57:52.4961379Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraysetops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:57:52.495706] 2025-12-04T10:57:59.6457512Z 2025-12-04T10:57:59.6458741Z torch_np/numpy_tests/lib/test_arraysetops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_1cee28c05f1d9272_.log 2025-12-04T10:57:59.6459853Z Running 0 items in this shard: 2025-12-04T10:57:59.6460092Z 2025-12-04T10:57:59.6460524Z Finished torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-12-04 10:57:59.645658][5118.972595199], took 0.12min 2025-12-04T10:57:59.6792867Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraysetops/torch_np.numpy_tests.lib.test_arraysetops-df0f40c2a121ec4e.xml 2025-12-04T10:58:06.7793273Z Running test_dlpack 1/1 ... [2025-12-04 10:58:06.778914][5126.105849865] 2025-12-04T10:58:06.7793825Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:58:06.7796991Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_dlpack.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:58:06.779417] 2025-12-04T10:58:14.1881742Z 2025-12-04T10:58:14.1882907Z test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dlpack_1.1_4594531b287d26ec_.log 2025-12-04T10:58:14.1883711Z Running 0 items in this shard: 2025-12-04T10:58:14.1883973Z 2025-12-04T10:58:14.1884267Z Finished test_dlpack 1/1 ... [2025-12-04 10:58:14.188154][5133.515088564], took 0.12min 2025-12-04T10:58:14.2229593Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_dlpack/test_dlpack-172d70805a093854.xml 2025-12-04T10:58:21.3013880Z Running profiler/test_torch_tidy 1/1 ... [2025-12-04 10:58:21.300977][5140.627912908] 2025-12-04T10:58:21.3014628Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:58:21.3018592Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_torch_tidy.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:58:21.301516] 2025-12-04T10:58:29.2901703Z 2025-12-04T10:58:29.2903577Z profiler/test_torch_tidy 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_torch_tidy_1.1_17a47bb1e1d005eb_.log 2025-12-04T10:58:29.2926121Z Running 50 items in this shard: test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids 2025-12-04T10:58:29.2948358Z 2025-12-04T10:58:29.2948711Z Finished profiler/test_torch_tidy 1/1 ... [2025-12-04 10:58:29.290152][5148.617087588], took 0.13min 2025-12-04T10:58:29.3242446Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_torch_tidy/profiler.test_torch_tidy-9b4ac3a6ba881d2c.xml 2025-12-04T10:58:36.2054627Z Running lazy/test_reuse_ir 1/1 ... [2025-12-04 10:58:36.205091][5155.532026895] 2025-12-04T10:58:36.2055197Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:58:36.2059237Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_reuse_ir.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:58:36.205608] 2025-12-04T10:58:42.8652470Z 2025-12-04T10:58:42.8653593Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_346090f1776a68fd_.log 2025-12-04T10:58:42.8654486Z Running 0 items in this shard: 2025-12-04T10:58:42.8654708Z 2025-12-04T10:58:42.8655016Z Finished lazy/test_reuse_ir 1/1 ... [2025-12-04 10:58:42.865170][5162.192104231], took 0.11min 2025-12-04T10:58:42.9002260Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/lazy.test_reuse_ir/lazy.test_reuse_ir-787e29f658fe11a3.xml 2025-12-04T10:58:49.8517076Z Running test_functional_autograd_benchmark 1/1 ... [2025-12-04 10:58:49.851283][5169.178220126] 2025-12-04T10:58:49.8517825Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:58:49.8520105Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functional_autograd_benchmark.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:58:49.851740] 2025-12-04T10:58:56.4243966Z 2025-12-04T10:58:56.4245456Z test_functional_autograd_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_autograd_benchmark_1.1_0d1c5f5564fbd3f9_.log 2025-12-04T10:58:56.4246525Z Running 0 items in this shard: 2025-12-04T10:58:56.4246746Z 2025-12-04T10:58:56.4247166Z Finished test_functional_autograd_benchmark 1/1 ... [2025-12-04 10:58:56.424322][5175.751259213], took 0.11min 2025-12-04T10:58:56.4799438Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_functional_autograd_benchmark/test_functional_autograd_benchmark-f8235d87988b0d7c.xml 2025-12-04T10:59:03.5344922Z Running torch_np/test_reductions 1/1 ... [2025-12-04 10:59:03.534114][5182.861049416] 2025-12-04T10:59:03.5345524Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:59:03.5348685Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_reductions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:59:03.534576] 2025-12-04T10:59:12.3784925Z 2025-12-04T10:59:12.3786141Z torch_np/test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_reductions_1.1_1d07404fd0b783d4_.log 2025-12-04T10:59:12.3787102Z Running 0 items in this shard: 2025-12-04T10:59:12.3787339Z 2025-12-04T10:59:12.3787977Z Finished torch_np/test_reductions 1/1 ... [2025-12-04 10:59:12.378429][5191.705366663], took 0.15min 2025-12-04T10:59:12.4140594Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.test_reductions/torch_np.test_reductions-6aac9bf38e3eeba2.xml 2025-12-04T10:59:19.5961593Z Running torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 10:59:19.595780][5198.922715648] 2025-12-04T10:59:19.5962296Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:59:19.5965396Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_ctors.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:59:19.596264] 2025-12-04T10:59:26.2430940Z 2025-12-04T10:59:26.2432475Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_f58d64831f18a7bd_.log 2025-12-04T10:59:26.2433629Z Running 0 items in this shard: 2025-12-04T10:59:26.2433866Z 2025-12-04T10:59:26.2434307Z Finished torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-12-04 10:59:26.243017][5205.569952866], took 0.11min 2025-12-04T10:59:26.2778284Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.core.test_scalar_ctors/torch_np.numpy_tests.core.test_scalar_ctors-f969cb0688b83b91.xml 2025-12-04T10:59:33.2235341Z Running torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 10:59:33.223022][5212.549957993] 2025-12-04T10:59:33.2236090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:59:33.2238271Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraypad.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:59:33.223541] 2025-12-04T10:59:39.9628841Z 2025-12-04T10:59:39.9630069Z torch_np/numpy_tests/lib/test_arraypad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_cbe4ea11a376082e_.log 2025-12-04T10:59:39.9631333Z Running 0 items in this shard: 2025-12-04T10:59:39.9631556Z 2025-12-04T10:59:39.9631987Z Finished torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-12-04 10:59:39.962820][5219.289755147], took 0.11min 2025-12-04T10:59:39.9980688Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/torch_np.numpy_tests.lib.test_arraypad/torch_np.numpy_tests.lib.test_arraypad-c8158373aa675389.xml 2025-12-04T10:59:47.3395577Z Running test_prims 1/1 ... [2025-12-04 10:59:47.339105][5226.666041131] 2025-12-04T10:59:47.3396401Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:59:47.3400723Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_prims.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 10:59:47.339630] 2025-12-04T10:59:55.5628971Z 2025-12-04T10:59:55.5630786Z test_prims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_prims_1.1_33c046590fd4ecba_.log 2025-12-04T10:59:55.5632212Z Running 0 items in this shard: 2025-12-04T10:59:55.5632694Z 2025-12-04T10:59:55.5633296Z Finished test_prims 1/1 ... [2025-12-04 10:59:55.562871][5234.889802396], took 0.14min 2025-12-04T10:59:55.6009672Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_prims/test_prims-a3cb0b6592177b88.xml 2025-12-04T11:00:02.6512122Z Running profiler/test_python_tracer 1/1 ... [2025-12-04 11:00:02.650811][5241.977746674] 2025-12-04T11:00:02.6512745Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T11:00:02.6516168Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_python_tracer.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 11:00:02.651272] 2025-12-04T11:00:09.2387849Z 2025-12-04T11:00:09.2388977Z profiler/test_python_tracer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_python_tracer_1.1_9ae37bece7378cf7_.log 2025-12-04T11:00:09.2390056Z Running 0 items in this shard: 2025-12-04T11:00:09.2390278Z 2025-12-04T11:00:09.2390641Z Finished profiler/test_python_tracer 1/1 ... [2025-12-04 11:00:09.238489][5248.565425589], took 0.11min 2025-12-04T11:00:09.2746881Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/profiler.test_python_tracer/profiler.test_python_tracer-6997a98921fcdf46.xml 2025-12-04T11:00:16.2570081Z Running cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 11:00:16.256562][5255.583497339] 2025-12-04T11:00:16.2570939Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T11:00:16.2573640Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 11:00:16.257029] 2025-12-04T11:00:22.9907837Z 2025-12-04T11:00:22.9910624Z cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility_1.1_4e6ef9c9500e8c2b_.log 2025-12-04T11:00:22.9913604Z Running 0 items in this shard: 2025-12-04T11:00:22.9914017Z 2025-12-04T11:00:22.9915171Z Finished cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility 1/1 ... [2025-12-04 11:00:22.990706][5262.317642745], took 0.11min 2025-12-04T11:00:23.0270231Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility-aab0733b6c18aa72.xml 2025-12-04T11:50:19.6539958Z 2025-12-04T11:50:19.6541055Z dynamo/test_fx_graph_runnable 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_graph_runnable_1.1_16738a525c31a9ad_.log 2025-12-04T11:50:19.6693989Z Running 350 items in this shard: test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing 2025-12-04T11:50:19.6843356Z 2025-12-04T11:50:19.6843743Z Finished dynamo/test_fx_graph_runnable 1/1 ... [2025-12-04 11:50:19.654510][8258.981442385], took 95.38min 2025-12-04T11:50:19.6845076Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_fx_graph_runnable/dynamo.test_fx_graph_runnable-b0e0b0b4967405ec.xml 2025-12-04T11:50:20.1646907Z Uploading artifacts took 0.35 seconds 2025-12-04T11:50:21.0253293Z Running test batch 'tests to run' cost 7275.25 seconds 2025-12-04T11:50:21.0270801Z Emitting td_test_failure_stats_v2 2025-12-04T11:50:21.0274820Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764849021_694f6508d10711f0a1da0242ac110002 2025-12-04T11:50:21.1251388Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764849021_694f6508d10711f0a1da0242ac110002 2025-12-04T11:50:21.1269179Z Emitting td_test_failure_stats_v2 2025-12-04T11:50:21.1271505Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764849021_695e9b68d10711f0a1da0242ac110002 2025-12-04T11:50:21.1596363Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764849021_695e9b68d10711f0a1da0242ac110002 2025-12-04T11:50:21.1612093Z Emitting td_test_failure_stats_v2 2025-12-04T11:50:21.1614334Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764849021_6963d6bed10711f0a1da0242ac110002 2025-12-04T11:50:21.1939182Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764849021_6963d6bed10711f0a1da0242ac110002 2025-12-04T11:50:21.1940522Z test_ops 2/11 failed! 2025-12-04T11:50:21.1940867Z test_ops 6/11 failed! 2025-12-04T11:50:21.1941175Z functorch/test_dims 1/1 failed! 2025-12-04T11:50:21.9264085Z 2025-12-04T11:50:21.9264518Z real 121m23.345s 2025-12-04T11:50:21.9264817Z user 161m29.752s 2025-12-04T11:50:21.9265079Z sys 47m28.495s 2025-12-04T11:50:21.9265346Z + assert_git_not_dirty 2025-12-04T11:50:21.9265700Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *rocm* ]] 2025-12-04T11:50:21.9266175Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *xla* ]] 2025-12-04T11:50:21.9270875Z ++ git status --porcelain 2025-12-04T11:50:21.9271724Z ++ grep -v '?? third_party' 2025-12-04T11:50:26.4129940Z ++ true 2025-12-04T11:50:26.4130436Z + git_status= 2025-12-04T11:50:26.4131095Z + [[ -n '' ]] 2025-12-04T11:50:26.4131526Z + sccache_epilogue 2025-12-04T11:50:26.4132039Z + echo '::group::Sccache Compilation Log' 2025-12-04T11:50:26.4133230Z ##[group]Sccache Compilation Log 2025-12-04T11:50:26.4133897Z + echo '=================== sccache compilation log ===================' 2025-12-04T11:50:26.4134676Z =================== sccache compilation log =================== 2025-12-04T11:50:26.4135827Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-12-04T11:50:26.4279158Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-12-04T11:50:26.4279971Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-12-04T11:50:26.4280548Z + sccache --show-stats 2025-12-04T11:50:26.4314893Z Compile requests 3824 2025-12-04T11:50:26.4315285Z Compile requests executed 249 2025-12-04T11:50:26.4315652Z Cache hits 106 2025-12-04T11:50:26.4317174Z Cache hits (C/C++) 106 2025-12-04T11:50:26.4317517Z Cache misses 143 2025-12-04T11:50:26.4317869Z Cache misses (C/C++) 143 2025-12-04T11:50:26.4318233Z Cache hits rate 42.57 % 2025-12-04T11:50:26.4318591Z Cache hits rate (C/C++) 42.57 % 2025-12-04T11:50:26.4318956Z Cache timeouts 0 2025-12-04T11:50:26.4319312Z Cache read errors 0 2025-12-04T11:50:26.4319669Z Forced recaches 0 2025-12-04T11:50:26.4320013Z Cache write errors 0 2025-12-04T11:50:26.4320381Z Cache errors 0 2025-12-04T11:50:26.4320734Z Compilations 143 2025-12-04T11:50:26.4321083Z Compilation failures 0 2025-12-04T11:50:26.4321463Z Non-cacheable compilations 0 2025-12-04T11:50:26.4321838Z Non-cacheable calls 453 2025-12-04T11:50:26.4322217Z Non-compilation calls 3122 2025-12-04T11:50:26.4322577Z Unsupported compiler calls 0 2025-12-04T11:50:26.4322953Z Average cache write 0.046 s 2025-12-04T11:50:26.4323327Z Average compiler 7.139 s 2025-12-04T11:50:26.4323688Z Average cache read hit 0.020 s 2025-12-04T11:50:26.4324071Z Failed distributed compilations 0 2025-12-04T11:50:26.4324323Z 2025-12-04T11:50:26.4324448Z Non-cacheable reasons: 2025-12-04T11:50:26.4324731Z -E 353 2025-12-04T11:50:26.4325094Z unknown source language 100 2025-12-04T11:50:26.4325333Z 2025-12-04T11:50:26.4325615Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T11:50:26.4326144Z Version (client) 0.10.0 2025-12-04T11:50:26.4326485Z + sccache --stop-server 2025-12-04T11:50:26.4340306Z Stopping sccache server... 2025-12-04T11:50:26.4343279Z Compile requests 3824 2025-12-04T11:50:26.4343669Z Compile requests executed 249 2025-12-04T11:50:26.4344029Z Cache hits 106 2025-12-04T11:50:26.4344379Z Cache hits (C/C++) 106 2025-12-04T11:50:26.4344715Z Cache misses 143 2025-12-04T11:50:26.4345064Z Cache misses (C/C++) 143 2025-12-04T11:50:26.4345421Z Cache hits rate 42.57 % 2025-12-04T11:50:26.4345787Z Cache hits rate (C/C++) 42.57 % 2025-12-04T11:50:26.4346137Z Cache timeouts 0 2025-12-04T11:50:26.4346486Z Cache read errors 0 2025-12-04T11:50:26.4346842Z Forced recaches 0 2025-12-04T11:50:26.4347199Z Cache write errors 0 2025-12-04T11:50:26.4347554Z Cache errors 0 2025-12-04T11:50:26.4347908Z Compilations 143 2025-12-04T11:50:26.4348262Z Compilation failures 0 2025-12-04T11:50:26.4348641Z Non-cacheable compilations 0 2025-12-04T11:50:26.4349168Z Non-cacheable calls 453 2025-12-04T11:50:26.4349539Z Non-compilation calls 3122 2025-12-04T11:50:26.4349900Z Unsupported compiler calls 0 2025-12-04T11:50:26.4350275Z Average cache write 0.046 s 2025-12-04T11:50:26.4350654Z Average compiler 7.139 s 2025-12-04T11:50:26.4351019Z Average cache read hit 0.020 s 2025-12-04T11:50:26.4351403Z Failed distributed compilations 0 2025-12-04T11:50:26.4351654Z 2025-12-04T11:50:26.4351776Z Non-cacheable reasons: 2025-12-04T11:50:26.4352061Z -E 353 2025-12-04T11:50:26.4352417Z unknown source language 100 2025-12-04T11:50:26.4352668Z 2025-12-04T11:50:26.4352937Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T11:50:26.4353465Z Version (client) 0.10.0 2025-12-04T11:50:26.4353812Z + echo ::endgroup:: 2025-12-04T11:50:26.4354352Z ##[endgroup] 2025-12-04T11:50:26.4354800Z + cleanup_workspace 2025-12-04T11:50:26.4355487Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-12-04T11:50:26.4356401Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-12-04T11:50:26.4357144Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-12-04T11:50:26.4357690Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-12-04T11:50:26.4358330Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-12-04T11:50:26.4359019Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-12-04T11:50:26.4359575Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-12-04T11:50:27.1885689Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-12-04T11:50:27.1886263Z with: 2025-12-04T11:50:27.1886552Z benchmark-results-dir: test/test-reports 2025-12-04T11:50:27.1886928Z dry-run: false 2025-12-04T11:50:27.1887209Z schema-version: v3 2025-12-04T11:50:27.1887736Z github-token: *** 2025-12-04T11:50:27.1888004Z env: 2025-12-04T11:50:27.1888236Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:50:27.1888547Z HAS_NVIDIA_GPU: true 2025-12-04T11:50:27.1888909Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:50:27.1889553Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:50:27.1890136Z ##[endgroup] 2025-12-04T11:50:27.1910325Z ##[group]Run set -eux 2025-12-04T11:50:27.1910646Z set -eux 2025-12-04T11:50:27.1910913Z  2025-12-04T11:50:27.1911163Z if [[ -n "" ]]; then 2025-12-04T11:50:27.1911464Z  source "" 2025-12-04T11:50:27.1911784Z fi 2025-12-04T11:50:27.1912180Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T11:50:27.1912675Z  2025-12-04T11:50:27.1912920Z DEVICE_NAME="" 2025-12-04T11:50:27.1913235Z DEVICE_TYPE="" 2025-12-04T11:50:27.1913507Z  2025-12-04T11:50:27.1913775Z if command -v nvidia-smi; then 2025-12-04T11:50:27.1914303Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-12-04T11:50:27.1914970Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-12-04T11:50:27.1915605Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-12-04T11:50:27.1916110Z  python3 -mpip install torch==2.7.1 2025-12-04T11:50:27.1916518Z elif command -v rocminfo; then 2025-12-04T11:50:27.1917023Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-12-04T11:50:27.1917686Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-12-04T11:50:27.1918346Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-12-04T11:50:27.1918912Z  # GPU device name coming from rocminfo instead 2025-12-04T11:50:27.1919337Z  DEVICE_NAME=rocm 2025-12-04T11:50:27.1919903Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-12-04T11:50:27.1920502Z fi 2025-12-04T11:50:27.1920733Z  2025-12-04T11:50:27.1921051Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-12-04T11:50:27.1921537Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-12-04T11:50:27.1932384Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:50:27.1932829Z env: 2025-12-04T11:50:27.1933088Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:50:27.1933389Z HAS_NVIDIA_GPU: true 2025-12-04T11:50:27.1933769Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:50:27.1934432Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:50:27.1935023Z ##[endgroup] 2025-12-04T11:50:27.1971753Z + [[ -n '' ]] 2025-12-04T11:50:27.1972180Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T11:50:27.4698604Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T11:50:28.7593068Z Collecting boto3==1.35.33 2025-12-04T11:50:28.7780841Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-12-04T11:50:29.1498664Z Collecting psutil==7.0.0 2025-12-04T11:50:29.1538737Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-12-04T11:50:29.1860230Z Collecting pynvml==12.0.0 2025-12-04T11:50:29.1896510Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-12-04T11:50:29.1982514Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0) 2025-12-04T11:50:29.2438041Z Collecting s3transfer<0.11.0,>=0.10.0 2025-12-04T11:50:29.2474226Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-12-04T11:50:30.6555099Z Collecting botocore<1.36.0,>=1.35.33 2025-12-04T11:50:30.6593034Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-12-04T11:50:30.8784851Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-12-04T11:50:30.8820315Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-12-04T11:50:30.8935383Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10) 2025-12-04T11:50:30.8942275Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-12-04T11:50:31.1189200Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0) 2025-12-04T11:50:31.2703397Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-12-04T11:50:31.8605304Z Attempting uninstall: nvidia-ml-py 2025-12-04T11:50:31.8606733Z Found existing installation: nvidia-ml-py 11.525.84 2025-12-04T11:50:31.8622969Z Uninstalling nvidia-ml-py-11.525.84: 2025-12-04T11:50:31.8846825Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-12-04T11:50:31.9547635Z Attempting uninstall: psutil 2025-12-04T11:50:31.9548679Z Found existing installation: psutil 5.9.8 2025-12-04T11:50:31.9627803Z Uninstalling psutil-5.9.8: 2025-12-04T11:50:31.9635489Z Successfully uninstalled psutil-5.9.8 2025-12-04T11:50:32.1555565Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-12-04T11:50:32.2701125Z + DEVICE_NAME= 2025-12-04T11:50:32.2701649Z + DEVICE_TYPE= 2025-12-04T11:50:32.2702166Z + command -v nvidia-smi 2025-12-04T11:50:32.2702679Z + python3 -mpip install torch==2.7.1 2025-12-04T11:50:32.2703034Z /usr/bin/nvidia-smi 2025-12-04T11:50:32.5389201Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T11:50:32.8458412Z Collecting torch==2.7.1 2025-12-04T11:50:32.8667019Z Downloading torch-2.7.1-cp39-cp39-manylinux_2_28_x86_64.whl (821.1 MB) 2025-12-04T11:50:46.1420433Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-12-04T11:50:46.1484667Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-12-04T11:50:47.9143349Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-12-04T11:50:47.9209917Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-12-04T11:50:53.7116833Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-12-04T11:50:53.7190574Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-12-04T11:50:53.8503138Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-12-04T11:50:53.8559085Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-12-04T11:50:53.9133123Z Collecting sympy>=1.13.3 2025-12-04T11:50:53.9168884Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-12-04T11:50:54.0262572Z Collecting nvidia-nvtx-cu12==12.6.77 2025-12-04T11:50:54.0301100Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-12-04T11:50:54.0501442Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-12-04T11:50:54.0567301Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-12-04T11:50:54.1027719Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-12-04T11:50:54.1092301Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-12-04T11:50:54.3451965Z Requirement already satisfied: jinja2 in /usr/lib/python3.9/site-packages (from torch==2.7.1) (2.11.3) 2025-12-04T11:50:54.4015992Z Collecting filelock 2025-12-04T11:50:54.4055554Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-12-04T11:50:54.4389125Z Collecting nvidia-curand-cu12==10.3.7.77 2025-12-04T11:50:54.4453840Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-12-04T11:50:55.1297650Z Collecting networkx 2025-12-04T11:50:55.1336688Z Downloading networkx-3.2.1-py3-none-any.whl (1.6 MB) 2025-12-04T11:50:55.1562596Z 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) 2025-12-04T11:50:55.1741459Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-12-04T11:50:55.1802096Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-12-04T11:50:56.9758171Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-12-04T11:50:56.9826621Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-12-04T11:50:59.4929771Z Collecting triton==3.3.1 2025-12-04T11:50:59.4968043Z Downloading triton-3.3.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-12-04T11:51:01.3399178Z Collecting fsspec 2025-12-04T11:51:01.3436050Z Downloading fsspec-2025.10.0-py3-none-any.whl (200 kB) 2025-12-04T11:51:01.3925272Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-12-04T11:51:01.3990773Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-12-04T11:51:10.4555225Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-12-04T11:51:10.4627245Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-12-04T11:51:10.7550222Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-12-04T11:51:10.7620874Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-12-04T11:51:13.6303687Z Collecting nvidia-nccl-cu12==2.26.2 2025-12-04T11:51:13.6371762Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-12-04T11:51:16.2164916Z 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) 2025-12-04T11:51:16.2498440Z Collecting mpmath<1.4,>=1.1.0 2025-12-04T11:51:16.2539154Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-12-04T11:51:16.3602860Z Requirement already satisfied: MarkupSafe>=0.23 in /usr/lib64/python3.9/site-packages (from jinja2->torch==2.7.1) (1.1.1) 2025-12-04T11:51:16.7698254Z 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 2025-12-04T11:51:26.8909733Z WARNING: The scripts proton and proton-viewer are installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T11:51:26.8910787Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T11:51:31.8037539Z WARNING: The script isympy is installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T11:51:31.8038833Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T11:52:06.0405337Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T11:52:06.0406407Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T11:52:06.2723792Z 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 2025-12-04T11:52:06.6312501Z + echo DEVICE_NAME= 2025-12-04T11:52:06.6312816Z + echo DEVICE_TYPE= 2025-12-04T11:52:06.6348788Z ##[group]Run set -eux 2025-12-04T11:52:06.6349108Z set -eux 2025-12-04T11:52:06.6349372Z  2025-12-04T11:52:06.6349639Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-12-04T11:52:06.6350057Z  echo "Missing github-token input" 2025-12-04T11:52:06.6350432Z  exit 1 2025-12-04T11:52:06.6350705Z fi 2025-12-04T11:52:06.6359206Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:52:06.6359651Z env: 2025-12-04T11:52:06.6359908Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:52:06.6360260Z HAS_NVIDIA_GPU: true 2025-12-04T11:52:06.6360628Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:52:06.6361288Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:52:06.6361890Z DEVICE_NAME: 2025-12-04T11:52:06.6362143Z DEVICE_TYPE: 2025-12-04T11:52:06.6362664Z GITHUB_TOKEN: *** 2025-12-04T11:52:06.6362935Z ##[endgroup] 2025-12-04T11:52:06.6392998Z + [[ -z *** ]] 2025-12-04T11:52:06.6441660Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-12-04T11:52:06.6442154Z with: 2025-12-04T11:52:06.6442565Z github-token: *** 2025-12-04T11:52:06.6442833Z env: 2025-12-04T11:52:06.6443079Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:52:06.6443377Z HAS_NVIDIA_GPU: true 2025-12-04T11:52:06.6443745Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:52:06.6444402Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:52:06.6444989Z DEVICE_NAME: 2025-12-04T11:52:06.6445257Z DEVICE_TYPE: 2025-12-04T11:52:06.6445516Z ##[endgroup] 2025-12-04T11:52:06.6555809Z ##[group]Run set -eux 2025-12-04T11:52:06.6556100Z set -eux 2025-12-04T11:52:06.6556361Z  2025-12-04T11:52:06.6556953Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T11:52:06.6563847Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:52:06.6564287Z env: 2025-12-04T11:52:06.6564538Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:52:06.6564839Z HAS_NVIDIA_GPU: true 2025-12-04T11:52:06.6565209Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:52:06.6565866Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:52:06.6566456Z DEVICE_NAME: 2025-12-04T11:52:06.6566707Z DEVICE_TYPE: 2025-12-04T11:52:06.6567138Z GITHUB_TOKEN: *** 2025-12-04T11:52:06.6567413Z ##[endgroup] 2025-12-04T11:52:06.6594047Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19922826259 i-076282dc4c60ba1f3 2025-12-04T11:52:09.6995501Z setting job-id=57119749265 2025-12-04T11:52:09.6997324Z setting job-name=linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 4, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T11:52:09.7118512Z ##[group]Run set -eux 2025-12-04T11:52:09.7118832Z set -eux 2025-12-04T11:52:09.7119081Z  2025-12-04T11:52:09.7119335Z if [[ -n "" ]]; then 2025-12-04T11:52:09.7119648Z  source "" 2025-12-04T11:52:09.7119908Z fi 2025-12-04T11:52:09.7120149Z  2025-12-04T11:52:09.7120592Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-12-04T11:52:09.7121202Z  --schema-version "${SCHEMA_VERSION}" \ 2025-12-04T11:52:09.7121593Z  --repo "${REPO}" \ 2025-12-04T11:52:09.7122124Z  --head-branch "${HEAD_BRANCH}" \ 2025-12-04T11:52:09.7122518Z  --head-sha "${HEAD_SHA}" \ 2025-12-04T11:52:09.7122900Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-12-04T11:52:09.7123327Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-12-04T11:52:09.7123706Z  --job-id "${JOB_ID}" \ 2025-12-04T11:52:09.7124044Z  --job-name "${JOB_NAME}" 2025-12-04T11:52:09.7130989Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:52:09.7131432Z env: 2025-12-04T11:52:09.7131686Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:52:09.7131983Z HAS_NVIDIA_GPU: true 2025-12-04T11:52:09.7132344Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:52:09.7132993Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:52:09.7133561Z DEVICE_NAME: 2025-12-04T11:52:09.7133819Z DEVICE_TYPE: 2025-12-04T11:52:09.7134080Z SCHEMA_VERSION: v3 2025-12-04T11:52:09.7134365Z REPO: pytorch/pytorch 2025-12-04T11:52:09.7134669Z HEAD_BRANCH: refs/heads/main 2025-12-04T11:52:09.7135051Z HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T11:52:09.7135462Z WORKFLOW_RUN_ID: 19922826259 2025-12-04T11:52:09.7135766Z RUN_ATTEMPT: 1 2025-12-04T11:52:09.7136026Z JOB_ID: 57119749265 2025-12-04T11:52:09.7136770Z JOB_NAME: linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 4, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T11:52:09.7137565Z ##[endgroup] 2025-12-04T11:52:09.7165373Z + [[ -n '' ]] 2025-12-04T11:52:09.7168091Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 --workflow-id 19922826259 --run-attempt 1 --job-id 57119749265 --job-name 'linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 4, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable)' 2025-12-04T11:52:09.7657611Z ##[group]Run set -eux 2025-12-04T11:52:09.7657919Z set -eux 2025-12-04T11:52:09.7658177Z  2025-12-04T11:52:09.7658428Z if [[ -n "" ]]; then 2025-12-04T11:52:09.7658742Z  source "" 2025-12-04T11:52:09.7659015Z fi 2025-12-04T11:52:09.7659242Z  2025-12-04T11:52:09.7659696Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-12-04T11:52:09.7666624Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:52:09.7667060Z env: 2025-12-04T11:52:09.7667298Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:52:09.7667612Z HAS_NVIDIA_GPU: true 2025-12-04T11:52:09.7667978Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:52:09.7668620Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:52:09.7669221Z DEVICE_NAME: 2025-12-04T11:52:09.7669487Z DEVICE_TYPE: 2025-12-04T11:52:09.7669729Z ##[endgroup] 2025-12-04T11:52:09.7695667Z + [[ -n '' ]] 2025-12-04T11:52:09.7696612Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-12-04T11:52:10.7787585Z /home/ec2-user/.local/lib/python3.9/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-12-04T11:52:10.7789048Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T11:52:13.0530031Z ##[group]Run set -eux 2025-12-04T11:52:13.0530333Z set -eux 2025-12-04T11:52:13.0530823Z  2025-12-04T11:52:13.0531113Z # TODO (huydhn): Implement this part 2025-12-04T11:52:13.0531551Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-12-04T11:52:13.0539363Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:52:13.0539824Z env: 2025-12-04T11:52:13.0540084Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:52:13.0540388Z HAS_NVIDIA_GPU: true 2025-12-04T11:52:13.0540758Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:52:13.0541531Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:52:13.0542122Z DEVICE_NAME: 2025-12-04T11:52:13.0542376Z DEVICE_TYPE: 2025-12-04T11:52:13.0542639Z ##[endgroup] 2025-12-04T11:52:13.0571420Z + echo 'dependencies={}' 2025-12-04T11:52:13.0616916Z ##[group]Run set -eux 2025-12-04T11:52:13.0617239Z set -eux 2025-12-04T11:52:13.0617501Z  2025-12-04T11:52:13.0617749Z if [[ -n "" ]]; then 2025-12-04T11:52:13.0618052Z  source "" 2025-12-04T11:52:13.0618326Z fi 2025-12-04T11:52:13.0618568Z  2025-12-04T11:52:13.0618857Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-12-04T11:52:13.0619380Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-12-04T11:52:13.0619953Z  # We don't want the job to fail if the directory doesn't exist 2025-12-04T11:52:13.0620393Z  exit 0 2025-12-04T11:52:13.0620660Z fi 2025-12-04T11:52:13.0621005Z  2025-12-04T11:52:13.0621279Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-12-04T11:52:13.0621828Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T11:52:13.0622480Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T11:52:13.0622981Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T11:52:13.0623381Z  --runners "${RUNNER_INFO}" \ 2025-12-04T11:52:13.0623789Z  --dependencies "${DEPENDENCIES}" \ 2025-12-04T11:52:13.0624173Z  --dry-run 2025-12-04T11:52:13.0624462Z else 2025-12-04T11:52:13.0624896Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T11:52:13.0625541Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T11:52:13.0626037Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T11:52:13.0626443Z  --runners "${RUNNER_INFO}" \ 2025-12-04T11:52:13.0626844Z  --dependencies "${DEPENDENCIES}" 2025-12-04T11:52:13.0627213Z fi 2025-12-04T11:52:13.0633718Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:52:13.0634163Z env: 2025-12-04T11:52:13.0634413Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:52:13.0634727Z HAS_NVIDIA_GPU: true 2025-12-04T11:52:13.0635081Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:52:13.0652055Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:52:13.0652665Z DEVICE_NAME: 2025-12-04T11:52:13.0652918Z DEVICE_TYPE: 2025-12-04T11:52:13.0653214Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-12-04T11:52:13.0653591Z DRY_RUN: false 2025-12-04T11:52:13.0655419Z BENCHMARK_METADATA: {"timestamp": 1764849129, "schema_version": "v3", "name": "linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 4, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922826259, "run_attempt": 1, "job_id": 57119749265} 2025-12-04T11:52:13.0658103Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 62, "extra_info": {"hostname": "ip-10-0-44-244.ec2.internal"}, "name": "cuda", "type": "Tesla T4", "gpu_count": 1, "avail_gpu_mem_in_gb": 14}] 2025-12-04T11:52:13.0659039Z DEPENDENCIES: {} 2025-12-04T11:52:13.0659317Z ##[endgroup] 2025-12-04T11:52:13.0685548Z + [[ -n '' ]] 2025-12-04T11:52:13.0685841Z + [[ ! -d test/test-reports ]] 2025-12-04T11:52:13.0686172Z + [[ false == \t\r\u\e ]] 2025-12-04T11:52:13.0690057Z + 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": 1764849129, "schema_version": "v3", "name": "linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 4, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922826259, "run_attempt": 1, "job_id": 57119749265}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 62, "extra_info": {"hostname": "ip-10-0-44-244.ec2.internal"}, "name": "cuda", "type": "Tesla T4", "gpu_count": 1, "avail_gpu_mem_in_gb": 14}]' --dependencies '{}' 2025-12-04T11:52:13.2539246Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'inductor/test_aot_inductor'}, {'test_file': 'inductor/test_torchinductor'}, {'test_file': 'inductor/test_torchinductor_dynamic_shapes'}, {'test_file': 'inductor/test_torchinductor_codegen_dynamic_shapes'}, {'test_file': 'inductor/test_kernel_benchmark'}, {'test_file': 'inductor/test_torchinductor_opinfo'}, {'test_file': 'inductor/test_pattern_matcher'}, {'test_file': 'inductor/test_cuda_repro'}, {'test_file': 'inductor/test_cudagraph_trees'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'inductor/test_flex_attention'}, {'test_file': 'inductor/test_cuda_select_algorithm'}, {'test_file': 'inductor/test_compile_subprocess'}, {'test_file': 'inductor/test_flex_decoding'}, {'test_file': 'inductor/test_deterministic'}, {'test_file': 'export/test_retraceability'}, {'test_file': 'inductor/test_fp8'}, {'test_file': 'dynamo/test_model_output'}, {'test_file': 'inductor/test_triton_kernels'}, {'test_file': 'inductor/test_extension_backend'}, {'test_file': 'inductor/test_native_matmul'}, {'test_file': 'inductor/test_loop_ordering'}, {'test_file': 'export/test_serdes'}, {'test_file': 'dynamo/test_regional_inductor'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'inductor/test_aot_inductor_package'}, {'test_file': 'inductor/test_decompose_mem_bound_mm'}, {'test_file': 'inductor/test_op_dtype_prop'}, {'test_file': 'inductor/test_online_softmax'}, {'test_file': 'inductor/test_memory'}, {'test_file': 'dynamo/test_streams'}, {'test_file': 'inductor/test_unbacked_symints'}, {'test_file': 'inductor/test_scatter_optimization'}, {'test_file': 'inductor/test_mix_order_reduction'}, {'test_file': 'inductor/test_padding'}, {'test_file': 'dynamo/test_aot_compile'}, {'test_file': 'dynamo/test_sets'}, {'test_file': 'dynamo/test_wrap_inductor_compiled_regions'}, {'test_file': 'dynamo/test_callback'}, {'test_file': 'dynamo/test_compiler_bisector'}, {'test_file': 'inductor/test_custom_op_autotune'}, {'test_file': 'inductor/test_cudagraph_trees_expandable_segments'}, {'test_file': 'dynamo/test_decorators'}, {'test_file': 'test_privateuseone_python_backend'}, {'test_file': 'inductor/test_collective_autotuning'}, {'test_file': 'test_varlen_attention'}, {'test_file': 'test_cuda'}, {'test_file': 'test_transformers'}, {'test_file': 'test_matmul_cuda'}, {'test_file': 'test_autograd'}, {'test_file': 'test_sparse'}, {'test_file': 'higher_order_ops/test_local_map'}, {'test_file': 'test_dataloader'}, {'test_file': 'higher_order_ops/test_invoke_subgraph'}, {'test_file': 'test_decomp'}, {'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'test_ops_fwd_gradients'}, {'test_file': 'test_meta'}, {'test_file': 'test_ops_jit'}, {'test_file': 'test_ops_gradients'}, {'test_file': 'test_nestedtensor'}, {'test_file': 'test_linalg'}, {'test_file': 'test_cuda_expandable_segments'}, {'test_file': 'test_public_bindings'}, {'test_file': 'test_ops'}, {'test_file': 'functorch/test_dims'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'functorch/test_vmap'}, {'test_file': 'test_overrides'}, {'test_file': 'test_torchfuzz_repros'}, {'test_file': 'inductor/test_max_autotune'}, {'test_file': 'doctests'}, {'test_file': 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'torch_np/numpy_tests/core/test_numerictypes'}, {'test_file': 'test_cuda_nvml_based_avail'}, {'test_file': 'test_function_schema'}, {'test_file': 'test_accelerator'}, {'test_file': 'nn/test_init'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_methods'}, {'test_file': 'torch_np/numpy_tests/fft/test_helper'}, {'test_file': 'test_mobile_optimizer'}, {'test_file': 'torch_np/test_function_base'}, {'test_file': 'test_type_promotion'}, {'test_file': 'torch_np/test_scalars_0D_arrays'}, {'test_file': 'test_cuda_primary_ctx'}, {'test_file': 'profiler/test_profiler_tree'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraysetops'}, {'test_file': 'test_dlpack'}, {'test_file': 'profiler/test_torch_tidy'}, {'test_file': 'lazy/test_reuse_ir'}, {'test_file': 'test_functional_autograd_benchmark'}, {'test_file': 'test_reductions'}, {'test_file': 'torch_np/test_reductions'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_ctors'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraypad'}, {'test_file': 'test_prims'}, {'test_file': 'test_spectral_ops'}, {'test_file': 'profiler/test_python_tracer'}, {'test_file': 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility'}, {'test_file': 'distributions/test_distributions'}, {'test_file': 'test_autoload_disable'}, {'test_file': 'test_autoload_enable'}, {'test_file': 'test_cpp_extensions_aot_ninja'}, {'test_file': 'test_cpp_extensions_aot_no_ninja'}], 'excluded': []} from test/test-reports/td_exclusions-c3cc562c3457014ce3bd.json is not a benchmark record, skipping 2025-12-04T11:52:13.2630391Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-12-04T11:52:13.2722204Z ##[group]Run cat test/**/*_toprint.log || true 2025-12-04T11:52:13.2722797Z cat test/**/*_toprint.log || true 2025-12-04T11:52:13.2729447Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:52:13.2729896Z env: 2025-12-04T11:52:13.2730140Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:52:13.2730461Z HAS_NVIDIA_GPU: true 2025-12-04T11:52:13.2731070Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:52:13.2731720Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:52:13.2732310Z DEVICE_NAME: 2025-12-04T11:52:13.2732576Z DEVICE_TYPE: 2025-12-04T11:52:13.2732826Z ##[endgroup] 2025-12-04T11:52:13.2835224Z cat: 'test/**/*_toprint.log': No such file or directory 2025-12-04T11:52:13.2882443Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-12-04T11:52:13.2882864Z kill "$MONITOR_SCRIPT_PID" 2025-12-04T11:52:13.2889100Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:52:13.2889532Z env: 2025-12-04T11:52:13.2889791Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:52:13.2890103Z HAS_NVIDIA_GPU: true 2025-12-04T11:52:13.2890453Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:52:13.2891105Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:52:13.2891684Z DEVICE_NAME: 2025-12-04T11:52:13.2891945Z DEVICE_TYPE: 2025-12-04T11:52:13.2892201Z MONITOR_SCRIPT_PID: 68161 2025-12-04T11:52:13.2892507Z ##[endgroup] 2025-12-04T11:52:13.2918329Z /home/ec2-user/actions-runner/_work/_temp/74a802ac-000c-45be-88b3-d69b1ce34b74.sh: line 1: kill: (68161) - No such process 2025-12-04T11:52:13.2930023Z ##[error]Process completed with exit code 1. 2025-12-04T11:52:13.3092618Z Prepare all required actions 2025-12-04T11:52:13.3093103Z Getting action download info 2025-12-04T11:52:13.4758233Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T11:52:14.0756964Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-12-04T11:52:16.3550952Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-12-04T11:52:16.3551375Z with: 2025-12-04T11:52:16.3551846Z file-suffix: test-legacy_nvidia_driver-4-5-linux.g4dn.4xlarge.nvidia.gpu_57119749265 2025-12-04T11:52:16.3552448Z s3-bucket: gha-artifacts 2025-12-04T11:52:16.3552752Z env: 2025-12-04T11:52:16.3552986Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:52:16.3553298Z HAS_NVIDIA_GPU: true 2025-12-04T11:52:16.3553672Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:52:16.3554331Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:52:16.3554960Z DEVICE_NAME: 2025-12-04T11:52:16.3555208Z DEVICE_TYPE: 2025-12-04T11:52:16.3555461Z ##[endgroup] 2025-12-04T11:52:16.3671646Z ##[group]Run # Remove any previous test jsons if they exist 2025-12-04T11:52:16.3672169Z # Remove any previous test jsons if they exist 2025-12-04T11:52:16.3672621Z rm -f test-jsons-*.zip 2025-12-04T11:52:16.3673123Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-12-04T11:52:16.3706454Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:52:16.3706891Z env: 2025-12-04T11:52:16.3707139Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:52:16.3707460Z HAS_NVIDIA_GPU: true 2025-12-04T11:52:16.3707838Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:52:16.3708490Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:52:16.3709083Z DEVICE_NAME: 2025-12-04T11:52:16.3709352Z DEVICE_TYPE: 2025-12-04T11:52:16.3709852Z FILE_SUFFIX: test-legacy_nvidia_driver-4-5-linux.g4dn.4xlarge.nvidia.gpu_57119749265 2025-12-04T11:52:16.3710435Z ##[endgroup] 2025-12-04T11:52:16.4563878Z adding: test/test-reports/td_exclusions-c3cc562c3457014ce3bd.json (deflated 82%) 2025-12-04T11:52:16.4564936Z adding: test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-7922d1cafec10e37.json (stored 0%) 2025-12-04T11:52:16.4566427Z adding: test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-668347d0cc7a58cc.json (stored 0%) 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test/test-reports/test_xnnpack_integration_1.1_9d2d9d6f47e85354_.log (deflated 50%) 2025-12-04T11:52:16.6425749Z adding: test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_63fcc99eddea0f13_.log (deflated 52%) 2025-12-04T11:52:16.6426775Z adding: test/test-reports/torch_np.numpy_tests.core.test_numerictypes_1.1_8ca6e57279da6263_.log (deflated 53%) 2025-12-04T11:52:16.6427663Z adding: test/test-reports/test_namedtensor_1.1_a3684af983f1160f_.log (deflated 48%) 2025-12-04T11:52:16.6428447Z adding: test/test-reports/test_function_schema_1.1_2544f733efd708d5_.log (deflated 50%) 2025-12-04T11:52:16.6429304Z adding: test/test-reports/test_accelerator_1.1_bf7f2a4e3ba7f2f6_.log (deflated 49%) 2025-12-04T11:52:16.6430187Z adding: test/test-reports/inductor.test_torchinductor_opinfo_1.17_ea24b87db6e0f999_.log (deflated 50%) 2025-12-04T11:52:16.6431340Z adding: test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_fcfbdd36090a91b8_.log (deflated 53%) 2025-12-04T11:52:16.6432379Z adding: test/test-reports/inductor.test_torchinductor_dynamic_shapes_2.5_9c7d77065f6d907e_.log (deflated 94%) 2025-12-04T11:52:16.6433393Z adding: test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_604e6a1016312a00_.log (deflated 52%) 2025-12-04T11:52:16.6434224Z adding: test/test-reports/test_prims_1.1_62e1d5c130ecb49d_.log (deflated 48%) 2025-12-04T11:52:16.6435004Z adding: test/test-reports/functorch.test_minifier_1.1_a90f03ae35e0f0ea_.log (deflated 50%) 2025-12-04T11:52:16.6435878Z adding: test/test-reports/profiler.test_python_tracer_1.1_cf002f3a70b94ea7_.log (deflated 51%) 2025-12-04T11:52:16.6436679Z adding: test/test-reports/test_typing_1.1_b5d14001c8abf768_.log (deflated 48%) 2025-12-04T11:52:16.6437714Z adding: test/test-reports/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility_1.1_c0ea01eafee74b89_.log (deflated 56%) 2025-12-04T11:52:16.6438798Z adding: 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(deflated 96%) 2025-12-04T11:52:16.6446804Z adding: test/test-reports/inductor.test_cuda_select_algorithm_3.5_81803022ebd6f51a_.log (deflated 96%) 2025-12-04T11:52:16.6447720Z adding: test/test-reports/dynamo.test_higher_order_ops_1.1_394c63405b5da8da_.log (deflated 50%) 2025-12-04T11:52:16.6448702Z adding: test/test-reports/inductor.test_aot_inductor_arrayref_1.2_e64bd67dcd2fb317_.log (deflated 95%) 2025-12-04T11:52:16.6449625Z adding: test/test-reports/inductor.test_triton_wrapper_1.1_375fe2cb545c3f32_.log (deflated 50%) 2025-12-04T11:52:16.6450625Z adding: test/test-reports/inductor.test_static_cuda_launcher_1.1_b9cac9f5e3f3e358_.log (deflated 51%) 2025-12-04T11:52:16.6451570Z adding: test/test-reports/inductor.test_provenance_tracing_1.1_28fd95c88acd948c_.log (deflated 49%) 2025-12-04T11:52:16.6452474Z adding: test/test-reports/inductor.test_combo_kernels_1.1_f1921d92c2472009_.log (deflated 48%) 2025-12-04T11:52:16.6453341Z adding: 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test/test-reports/torch_np.test_scalars_0D_arrays_1.1_8509ce4e552204bf_.log (deflated 51%) 2025-12-04T11:52:16.6481615Z adding: test/test-reports/profiler.test_profiler_tree_1.1_07fe88e21b83e82d_.log (deflated 51%) 2025-12-04T11:52:16.6482545Z adding: test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_1cee28c05f1d9272_.log (deflated 52%) 2025-12-04T11:52:16.6483473Z adding: test/test-reports/profiler.test_torch_tidy_1.1_17a47bb1e1d005eb_.log (deflated 93%) 2025-12-04T11:52:16.6484437Z adding: test/test-reports/test_functional_autograd_benchmark_1.1_0d1c5f5564fbd3f9_.log (deflated 51%) 2025-12-04T11:52:16.6485322Z adding: test/test-reports/torch_np.test_reductions_1.1_1d07404fd0b783d4_.log (deflated 50%) 2025-12-04T11:52:16.6486241Z adding: test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_f58d64831f18a7bd_.log (deflated 52%) 2025-12-04T11:52:16.6487232Z adding: test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_cbe4ea11a376082e_.log (deflated 51%) 2025-12-04T11:52:16.6488154Z adding: test/test-reports/profiler.test_python_tracer_1.1_9ae37bece7378cf7_.log (deflated 50%) 2025-12-04T11:52:16.6489258Z adding: test/test-reports/cpp_extensions.libtorch_agnostic_2_10_extension.test_version_compatibility_1.1_4e6ef9c9500e8c2b_.log (deflated 56%) 2025-12-04T11:52:16.6490377Z adding: test/test-reports/dynamo.test_fx_graph_runnable_1.1_16738a525c31a9ad_.log (deflated 96%) 2025-12-04T11:52:16.6524756Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-12-04T11:52:16.6525382Z # Remove any previous debugging artifacts if they exist 2025-12-04T11:52:16.6525849Z rm -f debug-*.zip 2025-12-04T11:52:16.6526183Z if [ -d 'test/debug' ]; then 2025-12-04T11:52:16.6526595Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-12-04T11:52:16.6527009Z fi 2025-12-04T11:52:16.6533657Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:52:16.6534092Z env: 2025-12-04T11:52:16.6534334Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:52:16.6534647Z HAS_NVIDIA_GPU: true 2025-12-04T11:52:16.6535014Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:52:16.6535673Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:52:16.6536247Z DEVICE_NAME: 2025-12-04T11:52:16.6536511Z DEVICE_TYPE: 2025-12-04T11:52:16.6536998Z FILE_SUFFIX: test-legacy_nvidia_driver-4-5-linux.g4dn.4xlarge.nvidia.gpu_57119749265 2025-12-04T11:52:16.6537557Z ##[endgroup] 2025-12-04T11:52:16.6646263Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T11:52:16.6646649Z with: 2025-12-04T11:52:16.6646887Z s3-bucket: gha-artifacts 2025-12-04T11:52:16.6647259Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T11:52:16.6647665Z retention-days: 14 2025-12-04T11:52:16.6647944Z if-no-files-found: warn 2025-12-04T11:52:16.6648351Z path: test-jsons-*.zip 2025-12-04T11:52:16.6648647Z name: artifact 2025-12-04T11:52:16.6648895Z region: us-east-1 2025-12-04T11:52:16.6649157Z env: 2025-12-04T11:52:16.6649388Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:52:16.6649688Z HAS_NVIDIA_GPU: true 2025-12-04T11:52:16.6650040Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:52:16.6650692Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:52:16.6651270Z DEVICE_NAME: 2025-12-04T11:52:16.6651511Z DEVICE_TYPE: 2025-12-04T11:52:16.6651763Z ##[endgroup] 2025-12-04T11:52:17.1651613Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T11:52:17.1652400Z With the provided path, there will be 1 file uploaded 2025-12-04T11:52:17.1652929Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T11:52:17.1706829Z Starting upload of test-jsons-test-legacy_nvidia_driver-4-5-linux.g4dn.4xlarge.nvidia.gpu_57119749265.zip 2025-12-04T11:52:17.3454646Z Finished upload of test-jsons-test-legacy_nvidia_driver-4-5-linux.g4dn.4xlarge.nvidia.gpu_57119749265.zip 2025-12-04T11:52:17.3661927Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T11:52:17.3662303Z with: 2025-12-04T11:52:17.3662557Z s3-bucket: gha-artifacts 2025-12-04T11:52:17.3662936Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T11:52:17.3663331Z retention-days: 14 2025-12-04T11:52:17.3663628Z if-no-files-found: error 2025-12-04T11:52:17.3663951Z path: test-reports-*.zip 2025-12-04T11:52:17.3664240Z name: artifact 2025-12-04T11:52:17.3664503Z region: us-east-1 2025-12-04T11:52:17.3664763Z env: 2025-12-04T11:52:17.3665175Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:52:17.3665484Z HAS_NVIDIA_GPU: true 2025-12-04T11:52:17.3665848Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:52:17.3666502Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:52:17.3667076Z DEVICE_NAME: 2025-12-04T11:52:17.3667343Z DEVICE_TYPE: 2025-12-04T11:52:17.3667597Z ##[endgroup] 2025-12-04T11:52:18.0117034Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T11:52:18.0117584Z With the provided path, there will be 1 file uploaded 2025-12-04T11:52:18.0118112Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T11:52:18.0172343Z Starting upload of test-reports-test-legacy_nvidia_driver-4-5-linux.g4dn.4xlarge.nvidia.gpu_57119749265.zip 2025-12-04T11:52:18.1453975Z Finished upload of test-reports-test-legacy_nvidia_driver-4-5-linux.g4dn.4xlarge.nvidia.gpu_57119749265.zip 2025-12-04T11:52:18.1673473Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T11:52:18.1673908Z with: 2025-12-04T11:52:18.1674172Z s3-bucket: gha-artifacts 2025-12-04T11:52:18.1674550Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T11:52:18.1674946Z retention-days: 14 2025-12-04T11:52:18.1675238Z if-no-files-found: ignore 2025-12-04T11:52:18.1675550Z path: logs-*.zip 2025-12-04T11:52:18.1675809Z name: artifact 2025-12-04T11:52:18.1676069Z region: us-east-1 2025-12-04T11:52:18.1676331Z env: 2025-12-04T11:52:18.1676558Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:52:18.1676905Z HAS_NVIDIA_GPU: true 2025-12-04T11:52:18.1677274Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:52:18.1677932Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:52:18.1678503Z DEVICE_NAME: 2025-12-04T11:52:18.1678757Z DEVICE_TYPE: 2025-12-04T11:52:18.1679008Z ##[endgroup] 2025-12-04T11:52:18.5351148Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T11:52:18.5351743Z With the provided path, there will be 1 file uploaded 2025-12-04T11:52:18.5352276Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T11:52:18.5405787Z Starting upload of logs-test-legacy_nvidia_driver-4-5-linux.g4dn.4xlarge.nvidia.gpu_57119749265.zip 2025-12-04T11:52:18.6870805Z Finished upload of logs-test-legacy_nvidia_driver-4-5-linux.g4dn.4xlarge.nvidia.gpu_57119749265.zip 2025-12-04T11:52:18.7091094Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T11:52:18.7091471Z with: 2025-12-04T11:52:18.7091723Z s3-bucket: gha-artifacts 2025-12-04T11:52:18.7092094Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T11:52:18.7092487Z retention-days: 14 2025-12-04T11:52:18.7092782Z if-no-files-found: ignore 2025-12-04T11:52:18.7093097Z path: debug-*.zip 2025-12-04T11:52:18.7093353Z name: artifact 2025-12-04T11:52:18.7093613Z region: us-east-1 2025-12-04T11:52:18.7093891Z env: 2025-12-04T11:52:18.7094121Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:52:18.7094430Z HAS_NVIDIA_GPU: true 2025-12-04T11:52:18.7094913Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:52:18.7095559Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:52:18.7096146Z DEVICE_NAME: 2025-12-04T11:52:18.7096409Z DEVICE_TYPE: 2025-12-04T11:52:18.7096661Z ##[endgroup] 2025-12-04T11:52:19.0729233Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-12-04T11:52:19.0959095Z ##[group]Run # shellcheck disable=SC2156 2025-12-04T11:52:19.0959530Z # shellcheck disable=SC2156 2025-12-04T11:52:19.0960215Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-12-04T11:52:19.0968214Z shell: /usr/bin/bash -e {0} 2025-12-04T11:52:19.0968537Z env: 2025-12-04T11:52:19.0968798Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:52:19.0969100Z HAS_NVIDIA_GPU: true 2025-12-04T11:52:19.0969470Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:52:19.0970141Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:52:19.0970725Z DEVICE_NAME: 2025-12-04T11:52:19.0970971Z DEVICE_TYPE: 2025-12-04T11:52:19.0971228Z ##[endgroup] 2025-12-04T11:52:19.5310329Z Prepare all required actions 2025-12-04T11:52:19.5310820Z Getting action download info 2025-12-04T11:52:19.7098488Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548) 2025-12-04T11:52:20.4519412Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-12-04T11:52:20.4519841Z with: 2025-12-04T11:52:20.4520073Z job_id: 57119749265 2025-12-04T11:52:20.4520820Z job_name: linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 4, 5, linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests, unstable) 2025-12-04T11:52:20.4521646Z workflow_name: periodic 2025-12-04T11:52:20.4521962Z workflow_run_id: 19922826259 2025-12-04T11:52:20.4522268Z workflow_attempt: 1 2025-12-04T11:52:20.4522551Z env: 2025-12-04T11:52:20.4522792Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:52:20.4523084Z HAS_NVIDIA_GPU: true 2025-12-04T11:52:20.4523446Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:52:20.4524148Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:52:20.4524726Z DEVICE_NAME: 2025-12-04T11:52:20.4524982Z DEVICE_TYPE: 2025-12-04T11:52:20.4525235Z ##[endgroup] 2025-12-04T11:52:20.4567681Z ##[group]Run actions/setup-python@v6 2025-12-04T11:52:20.4568047Z with: 2025-12-04T11:52:20.4568304Z python-version: 3.10 2025-12-04T11:52:20.4568592Z check-latest: false 2025-12-04T11:52:20.4568990Z token: *** 2025-12-04T11:52:20.4569259Z update-environment: true 2025-12-04T11:52:20.4569582Z allow-prereleases: false 2025-12-04T11:52:20.4569884Z freethreaded: false 2025-12-04T11:52:20.4570164Z env: 2025-12-04T11:52:20.4570408Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:52:20.4570696Z HAS_NVIDIA_GPU: true 2025-12-04T11:52:20.4571067Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:52:20.4571720Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:52:20.4572291Z DEVICE_NAME: 2025-12-04T11:52:20.4572560Z DEVICE_TYPE: 2025-12-04T11:52:20.4572810Z ##[endgroup] 2025-12-04T11:52:20.6179678Z ##[group]Installed versions 2025-12-04T11:52:20.6189970Z Version 3.10 was not found in the local cache 2025-12-04T11:52:20.6387381Z (node:192362) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T11:52:20.6388292Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T11:52:20.9672085Z ##[error]The version '3.10' with architecture 'x64' was not found for this operating system. The list of all available versions can be found here: https://raw.githubusercontent.com/actions/python-versions/main/versions-manifest.json 2025-12-04T11:52:20.9842573Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-12-04T11:52:20.9843183Z with: 2025-12-04T11:52:20.9843402Z env: 2025-12-04T11:52:20.9843643Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:52:20.9843950Z HAS_NVIDIA_GPU: true 2025-12-04T11:52:20.9844302Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:52:20.9844969Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:52:20.9845548Z DEVICE_NAME: 2025-12-04T11:52:20.9845820Z DEVICE_TYPE: 2025-12-04T11:52:20.9846073Z ##[endgroup] 2025-12-04T11:52:20.9863904Z ##[group]Run set -eou pipefail 2025-12-04T11:52:20.9864253Z set -eou pipefail 2025-12-04T11:52:20.9864560Z  2025-12-04T11:52:20.9864982Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-12-04T11:52:20.9865517Z for _ in $(seq 1440); do 2025-12-04T11:52:20.9865947Z  # Break if no ssh session exists anymore 2025-12-04T11:52:20.9866339Z  if [ "$(who)" = "" ]; then 2025-12-04T11:52:20.9866686Z  break 2025-12-04T11:52:20.9866952Z  fi 2025-12-04T11:52:20.9867209Z  echo "." 2025-12-04T11:52:20.9867473Z  sleep 5 2025-12-04T11:52:20.9867740Z done 2025-12-04T11:52:20.9874265Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:52:20.9874700Z env: 2025-12-04T11:52:20.9874948Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:52:20.9875259Z HAS_NVIDIA_GPU: true 2025-12-04T11:52:20.9875611Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:52:20.9876262Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:52:20.9876843Z DEVICE_NAME: 2025-12-04T11:52:20.9877089Z DEVICE_TYPE: 2025-12-04T11:52:20.9877342Z ##[endgroup] 2025-12-04T11:52:20.9904333Z Holding runner for 2 hours until all ssh sessions have logged out 2025-12-04T11:52:21.0172993Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T11:52:21.0173641Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T11:52:21.0174139Z # shellcheck disable=SC2046 2025-12-04T11:52:21.0174531Z docker stop $(docker ps -q) || true 2025-12-04T11:52:21.0174928Z # Prune all of the docker images 2025-12-04T11:52:21.0175303Z docker system prune -af 2025-12-04T11:52:21.0182993Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T11:52:21.0201079Z env: 2025-12-04T11:52:21.0201345Z GIT_DEFAULT_BRANCH: main 2025-12-04T11:52:21.0201675Z HAS_NVIDIA_GPU: true 2025-12-04T11:52:21.0202044Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T11:52:21.0202698Z DOCKER_CONTAINER_ID: 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:52:21.0203264Z DEVICE_NAME: 2025-12-04T11:52:21.0203517Z DEVICE_TYPE: 2025-12-04T11:52:21.0203773Z ##[endgroup] 2025-12-04T11:52:36.6800637Z 0fb89610dae3 2025-12-04T11:52:37.5034501Z Deleted Containers: 2025-12-04T11:52:37.5035007Z 0fb89610dae3f89c7eada978608caaa7f760e25c36385d76838f863b6989b0c5 2025-12-04T11:52:37.5035396Z 2025-12-04T11:52:45.1692020Z Deleted Images: 2025-12-04T11:52:45.1693253Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T11:52:45.1695031Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:ae30f11a5b50741bd652aa0c94ad89ef791c4e50157eff642748620825cf7940 2025-12-04T11:52:45.1696101Z deleted: sha256:5465aa79632b68f6240c23f0d0b021df4d0fd595333b61a40d36a0cf73656024 2025-12-04T11:52:45.1696907Z deleted: sha256:f57a578c46f36a858c2be92210a89558688ee36b619af78c698952c0e3ef05ad 2025-12-04T11:52:45.1697667Z deleted: sha256:ce0698bd1efc811ccead0ecdad944b4839bf17bff387495b58e64cf8db0e210c 2025-12-04T11:52:45.1698635Z deleted: 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