2025-12-04T12:21:52.9029969Z Current runner version: '2.330.0' 2025-12-04T12:21:52.9035544Z Runner name: 'i-031925788cb327f24' 2025-12-04T12:21:52.9036300Z Runner group name: 'default' 2025-12-04T12:21:52.9037124Z Machine name: 'ip-10-0-70-78' 2025-12-04T12:21:52.9039819Z ##[group]GITHUB_TOKEN Permissions 2025-12-04T12:21:52.9042173Z Contents: read 2025-12-04T12:21:52.9042707Z Metadata: read 2025-12-04T12:21:52.9043198Z ##[endgroup] 2025-12-04T12:21:52.9045061Z Secret source: Actions 2025-12-04T12:21:52.9045711Z Prepare workflow directory 2025-12-04T12:21:52.9547005Z Prepare all required actions 2025-12-04T12:21:52.9582960Z Getting action download info 2025-12-04T12:21:53.4016304Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd) 2025-12-04T12:21:55.8797468Z Download action repository 'pytorch/pytorch@main' (SHA:685ba6bc01170c0cb793f872e56164df89b63573) 2025-12-04T12:22:12.0572123Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-12-04T12:22:12.4543491Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-12-04T12:22:12.7297299Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-12-04T12:22:12.9779405Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T12:22:13.2213698Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T12:22:13.5173137Z Getting action download info 2025-12-04T12:22:13.6586459Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5) 2025-12-04T12:22:13.9856653Z Getting action download info 2025-12-04T12:22:14.1209344Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-12-04T12:22:14.3469876Z Getting action download info 2025-12-04T12:22:14.5084256Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-12-04T12:22:14.7139517Z Getting action download info 2025-12-04T12:22:14.8984365Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T12:22:14.8988418Z ##[group] Inputs 2025-12-04T12:22:14.8988796Z build-environment: linux-jammy-cuda13.0-py3.10-gcc11-sm86 2025-12-04T12:22:14.8996734Z test-matrix: {"include": [{"config": "dynamo_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamo_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamo_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamo_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamo_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.aws.a100"}, {"config": "aot_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]} 2025-12-04T12:22:14.9005224Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:22:14.9006121Z sync-tag: 2025-12-04T12:22:14.9006840Z timeout-minutes: 240 2025-12-04T12:22:14.9007088Z use-gha: 2025-12-04T12:22:14.9018367Z dashboard-tag: 2025-12-04T12:22:14.9018643Z s3-bucket: gha-artifacts 2025-12-04T12:22:14.9018892Z aws-role-to-assume: 2025-12-04T12:22:14.9019516Z disable-monitor: false 2025-12-04T12:22:14.9019812Z monitor-log-interval: 5 2025-12-04T12:22:14.9020109Z monitor-data-collect-interval: 1 2025-12-04T12:22:14.9020413Z ##[endgroup] 2025-12-04T12:22:14.9020986Z Complete job name: periodic-dynamo-benchmarks-test-cuda13 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-12-04T12:22:14.9698400Z A job started hook has been configured by the self-hosted runner administrator 2025-12-04T12:22:14.9819210Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-12-04T12:22:14.9831053Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:22:14.9831614Z ##[endgroup] 2025-12-04T12:22:16.4936806Z Runner Type: linux.g5.4xlarge.nvidia.gpu 2025-12-04T12:22:16.4937258Z Instance Type: g5.4xlarge 2025-12-04T12:22:16.4937513Z AMI Name: unknown 2025-12-04T12:22:16.4989907Z AMI ID: ami-08982f1c5bf93d976 2025-12-04T12:22:22.0031185Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-12-04T12:22:22.0031580Z with: 2025-12-04T12:22:22.0032081Z github-secret: *** 2025-12-04T12:22:22.0032728Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-12-04T12:22:22.0033430Z activate-with-label: false 2025-12-04T12:22:22.0033703Z label: with-ssh 2025-12-04T12:22:22.0033936Z remove-existing-keys: true 2025-12-04T12:22:22.0034201Z fail-silently: true 2025-12-04T12:22:22.0034433Z env: 2025-12-04T12:22:22.0034628Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:22:22.0034877Z ##[endgroup] 2025-12-04T12:22:22.1447518Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-12-04T12:22:22.1449071Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-12-04T12:22:22.1620857Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-12-04T12:22:22.1621260Z with: 2025-12-04T12:22:22.1621472Z no-sudo: true 2025-12-04T12:22:22.1621704Z submodules: recursive 2025-12-04T12:22:22.1622057Z fetch-depth: 0 2025-12-04T12:22:22.1622276Z env: 2025-12-04T12:22:22.1622489Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:22:22.1622955Z ##[endgroup] 2025-12-04T12:22:22.1692853Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T12:22:22.1693713Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T12:22:22.1707835Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:22:22.1708199Z env: 2025-12-04T12:22:22.1708424Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:22:22.1708745Z ##[endgroup] 2025-12-04T12:22:22.1827193Z ##[group]Run # Use all available CPUs for fetching 2025-12-04T12:22:22.1827618Z # Use all available CPUs for fetching 2025-12-04T12:22:22.1827993Z cd "${GITHUB_WORKSPACE}" 2025-12-04T12:22:22.1828318Z git config --global fetch.parallel 0 2025-12-04T12:22:22.1828727Z git config --global submodule.fetchJobs 0 2025-12-04T12:22:22.1829089Z  2025-12-04T12:22:22.1829473Z # Clean workspace. The default checkout action should also do this, but 2025-12-04T12:22:22.1829913Z # do it here as well just in case 2025-12-04T12:22:22.1830214Z if [[ -d .git ]]; then 2025-12-04T12:22:22.1830508Z  if [ -z "${NO_SUDO}" ]; then 2025-12-04T12:22:22.1830813Z  sudo git clean -ffdx 2025-12-04T12:22:22.1831083Z  else 2025-12-04T12:22:22.1831309Z  git clean -ffdx 2025-12-04T12:22:22.1831567Z  fi 2025-12-04T12:22:22.1831780Z fi 2025-12-04T12:22:22.1840979Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:22:22.1841335Z env: 2025-12-04T12:22:22.1841635Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:22:22.1841896Z NO_SUDO: true 2025-12-04T12:22:22.1842109Z ##[endgroup] 2025-12-04T12:22:22.1977992Z ##[group]Run actions/checkout@v4 2025-12-04T12:22:22.1978294Z with: 2025-12-04T12:22:22.1978554Z ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T12:22:22.1978935Z fetch-depth: 0 2025-12-04T12:22:22.1979188Z submodules: recursive 2025-12-04T12:22:22.1979455Z show-progress: false 2025-12-04T12:22:22.1979727Z repository: pytorch/pytorch 2025-12-04T12:22:22.1980089Z token: *** 2025-12-04T12:22:22.1980307Z ssh-strict: true 2025-12-04T12:22:22.1980538Z ssh-user: git 2025-12-04T12:22:22.1980770Z persist-credentials: true 2025-12-04T12:22:22.1981031Z clean: true 2025-12-04T12:22:22.1981281Z sparse-checkout-cone-mode: true 2025-12-04T12:22:22.1981564Z fetch-tags: false 2025-12-04T12:22:22.1981872Z lfs: false 2025-12-04T12:22:22.1982097Z set-safe-directory: true 2025-12-04T12:22:22.1982372Z env: 2025-12-04T12:22:22.1982580Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:22:22.1982837Z ##[endgroup] 2025-12-04T12:22:22.3135715Z Syncing repository: pytorch/pytorch 2025-12-04T12:22:22.3136954Z ##[group]Getting Git version info 2025-12-04T12:22:22.3137447Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T12:22:22.3138134Z [command]/usr/bin/git version 2025-12-04T12:22:22.3345340Z git version 2.50.1 2025-12-04T12:22:22.3391898Z ##[endgroup] 2025-12-04T12:22:22.3402345Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/a9fc1eb8-45b9-4095-b4b7-492ab2338a2f/.gitconfig' 2025-12-04T12:22:22.3425052Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/a9fc1eb8-45b9-4095-b4b7-492ab2338a2f' before making global git config changes 2025-12-04T12:22:22.3426218Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T12:22:22.3431239Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T12:22:22.3486188Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T12:22:22.3489519Z ##[group]Initializing the repository 2025-12-04T12:22:22.3493792Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T12:22:22.3574107Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-12-04T12:22:22.3575010Z hint: is subject to change. To configure the initial branch name to use in all 2025-12-04T12:22:22.3575743Z hint: of your new repositories, which will suppress this warning, call: 2025-12-04T12:22:22.3576128Z hint: 2025-12-04T12:22:22.3576435Z hint: git config --global init.defaultBranch 2025-12-04T12:22:22.3576773Z hint: 2025-12-04T12:22:22.3577087Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-12-04T12:22:22.3577682Z hint: 'development'. The just-created branch can be renamed via this command: 2025-12-04T12:22:22.3578115Z hint: 2025-12-04T12:22:22.3578334Z hint: git branch -m 2025-12-04T12:22:22.3578580Z hint: 2025-12-04T12:22:22.3579035Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-12-04T12:22:22.3583468Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-12-04T12:22:22.3595371Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-12-04T12:22:22.3643911Z ##[endgroup] 2025-12-04T12:22:22.3644342Z ##[group]Disabling automatic garbage collection 2025-12-04T12:22:22.3647811Z [command]/usr/bin/git config --local gc.auto 0 2025-12-04T12:22:22.3682030Z ##[endgroup] 2025-12-04T12:22:22.3682485Z ##[group]Setting up auth 2025-12-04T12:22:22.3688220Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T12:22:22.3722624Z [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' || :" 2025-12-04T12:22:22.4151185Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T12:22:22.4186115Z [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' || :" 2025-12-04T12:22:22.4588785Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir: 2025-12-04T12:22:22.4624394Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url 2025-12-04T12:22:22.5014733Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T12:22:22.5068385Z ##[endgroup] 2025-12-04T12:22:22.5068800Z ##[group]Fetching the repository 2025-12-04T12:22:22.5076294Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-12-04T12:23:14.7853357Z From https://github.com/pytorch/pytorch 2025-12-04T12:23:14.7853979Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-12-04T12:23:14.7854450Z * [new branch] 2.9.1 -> origin/2.9.1 2025-12-04T12:23:14.7855020Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-12-04T12:23:14.7855733Z * [new branch] Flamefire-patch-1 -> origin/Flamefire-patch-1 2025-12-04T12:23:14.7857879Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-12-04T12:23:14.7859661Z * [new branch] HOPrintFunc -> origin/HOPrintFunc 2025-12-04T12:23:14.7863015Z * [new branch] IvanKobzarev/stack/1 -> origin/IvanKobzarev/stack/1 2025-12-04T12:23:14.7865795Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-12-04T12:23:14.7867585Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-12-04T12:23:14.7869559Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-12-04T12:23:14.7871077Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-12-04T12:23:14.7873208Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-12-04T12:23:14.7875146Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-12-04T12:23:14.7877104Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-12-04T12:23:14.7879016Z * [new branch] VLA_exp -> origin/VLA_exp 2025-12-04T12:23:14.7881109Z * [new branch] activation_bench -> origin/activation_bench 2025-12-04T12:23:14.7882847Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-12-04T12:23:14.7885485Z * [new branch] adi/onednn_aarch64 -> origin/adi/onednn_aarch64 2025-12-04T12:23:14.7887445Z * [new branch] adi/test -> origin/adi/test 2025-12-04T12:23:14.7889255Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-12-04T12:23:14.7891114Z * [new branch] adi/test_m8g -> origin/adi/test_m8g 2025-12-04T12:23:14.7893000Z * [new branch] adi/test_onednn -> origin/adi/test_onednn 2025-12-04T12:23:14.7894843Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-12-04T12:23:14.7896651Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-12-04T12:23:14.7898622Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-12-04T12:23:14.7900730Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-12-04T12:23:14.7904088Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-12-04T12:23:14.7906167Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-12-04T12:23:14.7908238Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-12-04T12:23:14.7909987Z * [new branch] also-surround-shimh -> origin/also-surround-shimh 2025-12-04T12:23:14.7912673Z * [new branch] angelayi/aot_compile -> origin/angelayi/aot_compile 2025-12-04T12:23:14.7914661Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-12-04T12:23:14.7916430Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-12-04T12:23:14.7918288Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-12-04T12:23:14.7920048Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-12-04T12:23:14.7921950Z * [new branch] angelayi/inductor_const -> origin/angelayi/inductor_const 2025-12-04T12:23:14.7923734Z * [new branch] angelayi/lstm -> origin/angelayi/lstm 2025-12-04T12:23:14.7926630Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-12-04T12:23:14.7929199Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-12-04T12:23:14.7931102Z * [new branch] angelayi/side_eff -> 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origin/xmfan/ca_overhead 2025-12-04T12:23:15.8889507Z * [new branch] xmfan/ca_overhead_0eba7e5451 -> origin/xmfan/ca_overhead_0eba7e5451 2025-12-04T12:23:15.8891548Z * [new branch] xmfan/cacu_jun18 -> origin/xmfan/cacu_jun18 2025-12-04T12:23:15.8893662Z * [new branch] xmfan/cacu_jun19 -> origin/xmfan/cacu_jun19 2025-12-04T12:23:15.8896363Z * [new branch] xmfan/cacu_jun4 -> origin/xmfan/cacu_jun4 2025-12-04T12:23:15.8898555Z * [new branch] xmfan/disable_duck_shape -> origin/xmfan/disable_duck_shape 2025-12-04T12:23:15.8900715Z * [new branch] xmfan/fca_cpp_node_passthrough -> origin/xmfan/fca_cpp_node_passthrough 2025-12-04T12:23:15.8903234Z * [new branch] xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 2025-12-04T12:23:15.8905375Z * [new branch] xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 2025-12-04T12:23:15.8907298Z * [new branch] xmfan/single_step -> 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2025-12-04T12:23:15.8934924Z * [new branch] zainr/pull-migration-c -> origin/zainr/pull-migration-c 2025-12-04T12:23:15.8936896Z * [new branch] zainr/test2 -> origin/zainr/test2 2025-12-04T12:23:15.8939120Z * [new branch] zasdfgbnm-patch-3 -> origin/zasdfgbnm-patch-3 2025-12-04T12:23:15.8941471Z * [new branch] zb2p -> origin/zb2p 2025-12-04T12:23:15.8943912Z * [new branch] zeros-and-scatter-part2 -> origin/zeros-and-scatter-part2 2025-12-04T12:23:15.8947276Z * [new branch] zhxchen17/ci/vllm_lora_oom -> origin/zhxchen17/ci/vllm_lora_oom 2025-12-04T12:23:15.8949690Z * [new branch] zhxchen17/ci/vllm_multimodal_oom -> origin/zhxchen17/ci/vllm_multimodal_oom 2025-12-04T12:23:15.8951706Z * [new branch] zhxchen17/ci/vllm_pin -> origin/zhxchen17/ci/vllm_pin 2025-12-04T12:23:15.8954665Z * [new branch] zhxchen17/dynamo/unsafe_drop_all_guards -> origin/zhxchen17/dynamo/unsafe_drop_all_guards 2025-12-04T12:23:15.8957447Z * [new branch] zhxchen17/export/call_override -> origin/zhxchen17/export/call_override 2025-12-04T12:23:15.8959449Z * [new branch] zhxchen17/export/codemod1 -> origin/zhxchen17/export/codemod1 2025-12-04T12:23:15.8961612Z * [new branch] zhxchen17/export/ctx_return -> origin/zhxchen17/export/ctx_return 2025-12-04T12:23:15.8963841Z * [new branch] zhxchen17/export/disable_side_effect_warn -> origin/zhxchen17/export/disable_side_effect_warn 2025-12-04T12:23:15.8965996Z * [new branch] zhxchen17/export/pytree_check -> origin/zhxchen17/export/pytree_check 2025-12-04T12:23:15.8969320Z * [new branch] zhxchen17/precompile/aoti -> origin/zhxchen17/precompile/aoti 2025-12-04T12:23:15.8971518Z * [new branch] zhxchen17/precompile/globals -> origin/zhxchen17/precompile/globals 2025-12-04T12:23:15.8973651Z * [new branch] zhxchen17/precompile/inductor_guards -> origin/zhxchen17/precompile/inductor_guards 2025-12-04T12:23:15.8976305Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-12-04T12:23:15.8978453Z * [new branch] zhxchen17/torch_export_api_update -> origin/zhxchen17/torch_export_api_update 2025-12-04T12:23:15.8981413Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-12-04T12:23:15.8984646Z * [new branch] zxiiro/build-times -> origin/zxiiro/build-times 2025-12-04T12:23:15.8986773Z * [new branch] zxiiro/c7i.2xlarge -> origin/zxiiro/c7i.2xlarge 2025-12-04T12:23:15.8988982Z * [new branch] zxiiro/c7i.2xlarge.h100 -> origin/zxiiro/c7i.2xlarge.h100 2025-12-04T12:23:15.8991173Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-12-04T12:23:15.8993317Z * [new branch] zxiiro/risc64 -> origin/zxiiro/risc64 2025-12-04T12:23:15.8995500Z * [new branch] zxiiro/test-multicloud-arc -> origin/zxiiro/test-multicloud-arc 2025-12-04T12:23:15.8997621Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-12-04T12:23:15.8999848Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-12-04T12:23:15.9001937Z * [new tag] ciflow/b200/115316 -> ciflow/b200/115316 2025-12-04T12:23:15.9003351Z * [new tag] ciflow/b200/160685 -> ciflow/b200/160685 2025-12-04T12:23:15.9004664Z * [new tag] ciflow/b200/161607 -> ciflow/b200/161607 2025-12-04T12:23:15.9006386Z * [new tag] ciflow/b200/161938 -> ciflow/b200/161938 2025-12-04T12:23:15.9008051Z * [new tag] ciflow/b200/167207 -> ciflow/b200/167207 2025-12-04T12:23:15.9009600Z * [new tag] ciflow/b200/167989 -> ciflow/b200/167989 2025-12-04T12:23:15.9011238Z * [new tag] ciflow/b200/168096 -> ciflow/b200/168096 2025-12-04T12:23:15.9012947Z * [new tag] ciflow/b200/168175 -> ciflow/b200/168175 2025-12-04T12:23:15.9014555Z * [new tag] ciflow/b200/168195 -> ciflow/b200/168195 2025-12-04T12:23:15.9016238Z * [new tag] ciflow/b200/169200 -> ciflow/b200/169200 2025-12-04T12:23:15.9017854Z * [new tag] ciflow/b200/169216 -> ciflow/b200/169216 2025-12-04T12:23:15.9019926Z * [new tag] ciflow/b200/169380 -> ciflow/b200/169380 2025-12-04T12:23:15.9022122Z * [new tag] ciflow/b200/169412 -> ciflow/b200/169412 2025-12-04T12:23:15.9024063Z * [new tag] ciflow/b200/169470 -> ciflow/b200/169470 2025-12-04T12:23:15.9026012Z * [new tag] ciflow/b200/169471 -> ciflow/b200/169471 2025-12-04T12:23:15.9027680Z * [new tag] ciflow/b200/169472 -> ciflow/b200/169472 2025-12-04T12:23:15.9029414Z * [new tag] ciflow/b200/169514 -> ciflow/b200/169514 2025-12-04T12:23:15.9031089Z * [new tag] ciflow/b200/169517 -> ciflow/b200/169517 2025-12-04T12:23:15.9033106Z * [new tag] ciflow/binaries/165922 -> ciflow/binaries/165922 2025-12-04T12:23:15.9034470Z * [new tag] ciflow/binaries/169510 -> ciflow/binaries/169510 2025-12-04T12:23:15.9036521Z * [new tag] ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994 2025-12-04T12:23:15.9038141Z * [new tag] ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829 2025-12-04T12:23:15.9039523Z * [new tag] ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972 2025-12-04T12:23:15.9041277Z * [new tag] ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981 2025-12-04T12:23:15.9043051Z * [new tag] ciflow/dynamo/167695 -> ciflow/dynamo/167695 2025-12-04T12:23:15.9044557Z * [new tag] ciflow/dynamo/168096 -> ciflow/dynamo/168096 2025-12-04T12:23:15.9046286Z * [new tag] ciflow/dynamo/169525 -> ciflow/dynamo/169525 2025-12-04T12:23:15.9048179Z * [new tag] ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938 2025-12-04T12:23:15.9049445Z * [new tag] ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940 2025-12-04T12:23:15.9051583Z * [new tag] ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923 2025-12-04T12:23:15.9053404Z * [new tag] ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552 2025-12-04T12:23:15.9054919Z * [new tag] ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129 2025-12-04T12:23:15.9056440Z * [new tag] ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917 2025-12-04T12:23:15.9058260Z * [new tag] ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156 2025-12-04T12:23:15.9060065Z * [new tag] ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200 2025-12-04T12:23:15.9061152Z * [new tag] ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216 2025-12-04T12:23:15.9063149Z * [new tag] ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338 2025-12-04T12:23:15.9064717Z * [new tag] ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355 2025-12-04T12:23:15.9065998Z * [new tag] ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543 2025-12-04T12:23:15.9068042Z * [new tag] ciflow/h100/115316 -> ciflow/h100/115316 2025-12-04T12:23:15.9069556Z * [new tag] ciflow/h100/160685 -> ciflow/h100/160685 2025-12-04T12:23:15.9071096Z * [new tag] ciflow/h100/160729 -> ciflow/h100/160729 2025-12-04T12:23:15.9072635Z * [new tag] ciflow/h100/161607 -> ciflow/h100/161607 2025-12-04T12:23:15.9074102Z * [new tag] ciflow/h100/161938 -> ciflow/h100/161938 2025-12-04T12:23:15.9075631Z * [new tag] ciflow/h100/167207 -> ciflow/h100/167207 2025-12-04T12:23:15.9077087Z * [new tag] ciflow/h100/167989 -> ciflow/h100/167989 2025-12-04T12:23:15.9078590Z * [new tag] ciflow/h100/168096 -> ciflow/h100/168096 2025-12-04T12:23:15.9080115Z * [new tag] ciflow/h100/168175 -> ciflow/h100/168175 2025-12-04T12:23:15.9081658Z * [new tag] ciflow/h100/168195 -> ciflow/h100/168195 2025-12-04T12:23:15.9083017Z * [new tag] ciflow/h100/168980 -> ciflow/h100/168980 2025-12-04T12:23:15.9085018Z * [new tag] ciflow/h100/169200 -> ciflow/h100/169200 2025-12-04T12:23:15.9086971Z * [new tag] ciflow/h100/169216 -> ciflow/h100/169216 2025-12-04T12:23:15.9088851Z * [new tag] ciflow/h100/169380 -> ciflow/h100/169380 2025-12-04T12:23:15.9090423Z * [new tag] ciflow/h100/169412 -> ciflow/h100/169412 2025-12-04T12:23:15.9092015Z * [new tag] ciflow/h100/169470 -> ciflow/h100/169470 2025-12-04T12:23:15.9093649Z * [new tag] ciflow/h100/169471 -> ciflow/h100/169471 2025-12-04T12:23:15.9095281Z * [new tag] ciflow/h100/169472 -> ciflow/h100/169472 2025-12-04T12:23:15.9096875Z * [new tag] ciflow/h100/169514 -> ciflow/h100/169514 2025-12-04T12:23:15.9098757Z * [new tag] ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096 2025-12-04T12:23:15.9101032Z * [new tag] ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096 2025-12-04T12:23:15.9102933Z * [new tag] ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165 2025-12-04T12:23:15.9104148Z * [new tag] ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096 2025-12-04T12:23:15.9106298Z * [new tag] ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096 2025-12-04T12:23:15.9108439Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073 2025-12-04T12:23:15.9109751Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096 2025-12-04T12:23:15.9111554Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024 2025-12-04T12:23:15.9113405Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024 2025-12-04T12:23:15.9114938Z * [new tag] ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096 2025-12-04T12:23:15.9117039Z * [new tag] ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096 2025-12-04T12:23:15.9118185Z * [new tag] ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024 2025-12-04T12:23:15.9120116Z * [new tag] ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425 2025-12-04T12:23:15.9122119Z * [new tag] ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545 2025-12-04T12:23:15.9123552Z * [new tag] ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997 2025-12-04T12:23:15.9125007Z * [new tag] ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096 2025-12-04T12:23:15.9127163Z * [new tag] ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063 2025-12-04T12:23:15.9128248Z * [new tag] ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425 2025-12-04T12:23:15.9130296Z * [new tag] ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545 2025-12-04T12:23:15.9131587Z * [new tag] ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096 2025-12-04T12:23:15.9133268Z * [new tag] ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063 2025-12-04T12:23:15.9134563Z * [new tag] ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425 2025-12-04T12:23:15.9136652Z * [new tag] ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052 2025-12-04T12:23:15.9137894Z * [new tag] ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971 2025-12-04T12:23:15.9139844Z * [new tag] ciflow/inductor-rocm/169482 -> ciflow/inductor-rocm/169482 2025-12-04T12:23:15.9141853Z * [new tag] ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096 2025-12-04T12:23:15.9143884Z * [new tag] ciflow/inductor/144542 -> ciflow/inductor/144542 2025-12-04T12:23:15.9145381Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-12-04T12:23:15.9146967Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-12-04T12:23:15.9148619Z * [new tag] ciflow/inductor/148294 -> ciflow/inductor/148294 2025-12-04T12:23:15.9150168Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-12-04T12:23:15.9151692Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-12-04T12:23:15.9153247Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-12-04T12:23:15.9154828Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-12-04T12:23:15.9156168Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-12-04T12:23:15.9157787Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-12-04T12:23:15.9159769Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-12-04T12:23:15.9161748Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-12-04T12:23:15.9163710Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-12-04T12:23:15.9165546Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-12-04T12:23:15.9167150Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-12-04T12:23:15.9168812Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-12-04T12:23:15.9170421Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-12-04T12:23:15.9172010Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-12-04T12:23:15.9173678Z * [new tag] ciflow/inductor/162795 -> ciflow/inductor/162795 2025-12-04T12:23:15.9175691Z * [new tag] ciflow/inductor/163245 -> ciflow/inductor/163245 2025-12-04T12:23:15.9176920Z * [new tag] ciflow/inductor/163335 -> ciflow/inductor/163335 2025-12-04T12:23:15.9178716Z * [new tag] ciflow/inductor/163503 -> ciflow/inductor/163503 2025-12-04T12:23:15.9180324Z * [new tag] ciflow/inductor/163942 -> ciflow/inductor/163942 2025-12-04T12:23:15.9182180Z * [new tag] ciflow/inductor/165270 -> ciflow/inductor/165270 2025-12-04T12:23:15.9183935Z * [new tag] ciflow/inductor/165274 -> ciflow/inductor/165274 2025-12-04T12:23:15.9185507Z * [new tag] ciflow/inductor/165322 -> ciflow/inductor/165322 2025-12-04T12:23:15.9187095Z * [new tag] ciflow/inductor/165597 -> ciflow/inductor/165597 2025-12-04T12:23:15.9188737Z * [new tag] ciflow/inductor/166063 -> ciflow/inductor/166063 2025-12-04T12:23:15.9190384Z * [new tag] ciflow/inductor/166075 -> ciflow/inductor/166075 2025-12-04T12:23:15.9192017Z * [new tag] ciflow/inductor/166165 -> ciflow/inductor/166165 2025-12-04T12:23:15.9193859Z * [new tag] ciflow/inductor/166254 -> ciflow/inductor/166254 2025-12-04T12:23:15.9195488Z * [new tag] ciflow/inductor/166483 -> ciflow/inductor/166483 2025-12-04T12:23:15.9197202Z * [new tag] ciflow/inductor/166494 -> ciflow/inductor/166494 2025-12-04T12:23:15.9198805Z * [new tag] ciflow/inductor/166545 -> ciflow/inductor/166545 2025-12-04T12:23:15.9200446Z * [new tag] ciflow/inductor/166788 -> ciflow/inductor/166788 2025-12-04T12:23:15.9202195Z * [new tag] ciflow/inductor/166846 -> ciflow/inductor/166846 2025-12-04T12:23:15.9203803Z * [new tag] ciflow/inductor/167300 -> ciflow/inductor/167300 2025-12-04T12:23:15.9205428Z * [new tag] ciflow/inductor/167407 -> ciflow/inductor/167407 2025-12-04T12:23:15.9207196Z * [new tag] ciflow/inductor/167536 -> ciflow/inductor/167536 2025-12-04T12:23:15.9208763Z * [new tag] ciflow/inductor/167552 -> ciflow/inductor/167552 2025-12-04T12:23:15.9210435Z * [new tag] ciflow/inductor/167555 -> ciflow/inductor/167555 2025-12-04T12:23:15.9212236Z * [new tag] ciflow/inductor/167583 -> ciflow/inductor/167583 2025-12-04T12:23:15.9213895Z * [new tag] ciflow/inductor/167599 -> ciflow/inductor/167599 2025-12-04T12:23:15.9215477Z * [new tag] ciflow/inductor/167647 -> ciflow/inductor/167647 2025-12-04T12:23:15.9217102Z * [new tag] ciflow/inductor/167677 -> ciflow/inductor/167677 2025-12-04T12:23:15.9218723Z * [new tag] ciflow/inductor/167680 -> ciflow/inductor/167680 2025-12-04T12:23:15.9220362Z * [new tag] ciflow/inductor/167695 -> ciflow/inductor/167695 2025-12-04T12:23:15.9221957Z * [new tag] ciflow/inductor/167742 -> ciflow/inductor/167742 2025-12-04T12:23:15.9223630Z * [new tag] ciflow/inductor/167768 -> ciflow/inductor/167768 2025-12-04T12:23:15.9225632Z * [new tag] ciflow/inductor/167773 -> ciflow/inductor/167773 2025-12-04T12:23:15.9227415Z * [new tag] ciflow/inductor/167781 -> ciflow/inductor/167781 2025-12-04T12:23:15.9228772Z * [new tag] ciflow/inductor/167880 -> ciflow/inductor/167880 2025-12-04T12:23:15.9230509Z * [new tag] ciflow/inductor/167887 -> ciflow/inductor/167887 2025-12-04T12:23:15.9232143Z * [new tag] ciflow/inductor/167972 -> ciflow/inductor/167972 2025-12-04T12:23:15.9233801Z * [new tag] ciflow/inductor/167989 -> ciflow/inductor/167989 2025-12-04T12:23:15.9235593Z * [new tag] ciflow/inductor/168002 -> ciflow/inductor/168002 2025-12-04T12:23:15.9236979Z * [new tag] ciflow/inductor/168050 -> ciflow/inductor/168050 2025-12-04T12:23:15.9238644Z * [new tag] ciflow/inductor/168051 -> ciflow/inductor/168051 2025-12-04T12:23:15.9240278Z * [new tag] ciflow/inductor/168052 -> ciflow/inductor/168052 2025-12-04T12:23:15.9241656Z * [new tag] ciflow/inductor/168073 -> ciflow/inductor/168073 2025-12-04T12:23:15.9243436Z * [new tag] ciflow/inductor/168096 -> ciflow/inductor/168096 2025-12-04T12:23:15.9245485Z * [new tag] ciflow/inductor/168114 -> ciflow/inductor/168114 2025-12-04T12:23:15.9247127Z * [new tag] ciflow/inductor/168115 -> ciflow/inductor/168115 2025-12-04T12:23:15.9248747Z * [new tag] ciflow/inductor/168127 -> ciflow/inductor/168127 2025-12-04T12:23:15.9250508Z * [new tag] ciflow/inductor/168129 -> ciflow/inductor/168129 2025-12-04T12:23:15.9252126Z * [new tag] ciflow/inductor/168157 -> ciflow/inductor/168157 2025-12-04T12:23:15.9253750Z * [new tag] ciflow/inductor/168175 -> ciflow/inductor/168175 2025-12-04T12:23:15.9255365Z * [new tag] ciflow/inductor/168185 -> ciflow/inductor/168185 2025-12-04T12:23:15.9256970Z * [new tag] ciflow/inductor/168195 -> ciflow/inductor/168195 2025-12-04T12:23:15.9258586Z * [new tag] ciflow/inductor/168209 -> ciflow/inductor/168209 2025-12-04T12:23:15.9260265Z * [new tag] ciflow/inductor/168266 -> ciflow/inductor/168266 2025-12-04T12:23:15.9261908Z * [new tag] ciflow/inductor/168316 -> ciflow/inductor/168316 2025-12-04T12:23:15.9263755Z * [new tag] ciflow/inductor/168326 -> ciflow/inductor/168326 2025-12-04T12:23:15.9265354Z * [new tag] ciflow/inductor/168368 -> ciflow/inductor/168368 2025-12-04T12:23:15.9267523Z * [new tag] ciflow/inductor/168894 -> ciflow/inductor/168894 2025-12-04T12:23:15.9277189Z * [new tag] ciflow/inductor/168934 -> ciflow/inductor/168934 2025-12-04T12:23:15.9277834Z * [new tag] ciflow/inductor/168939 -> ciflow/inductor/168939 2025-12-04T12:23:15.9278299Z * [new tag] ciflow/inductor/168946 -> ciflow/inductor/168946 2025-12-04T12:23:15.9278734Z * [new tag] ciflow/inductor/168950 -> ciflow/inductor/168950 2025-12-04T12:23:15.9279178Z * [new tag] ciflow/inductor/168951 -> ciflow/inductor/168951 2025-12-04T12:23:15.9279688Z * [new tag] ciflow/inductor/168952 -> ciflow/inductor/168952 2025-12-04T12:23:15.9280129Z * [new tag] ciflow/inductor/168955 -> ciflow/inductor/168955 2025-12-04T12:23:15.9280581Z * [new tag] ciflow/inductor/168971 -> ciflow/inductor/168971 2025-12-04T12:23:15.9281375Z * [new tag] ciflow/inductor/168979 -> ciflow/inductor/168979 2025-12-04T12:23:15.9282524Z * [new tag] ciflow/inductor/168980 -> ciflow/inductor/168980 2025-12-04T12:23:15.9284484Z * [new tag] ciflow/inductor/168983 -> ciflow/inductor/168983 2025-12-04T12:23:15.9286075Z * [new tag] ciflow/inductor/169006 -> ciflow/inductor/169006 2025-12-04T12:23:15.9287729Z * [new tag] ciflow/inductor/169023 -> ciflow/inductor/169023 2025-12-04T12:23:15.9289348Z * [new tag] ciflow/inductor/169024 -> ciflow/inductor/169024 2025-12-04T12:23:15.9290956Z * [new tag] ciflow/inductor/169025 -> ciflow/inductor/169025 2025-12-04T12:23:15.9292620Z * [new tag] ciflow/inductor/169066 -> ciflow/inductor/169066 2025-12-04T12:23:15.9294246Z * [new tag] ciflow/inductor/169091 -> ciflow/inductor/169091 2025-12-04T12:23:15.9296268Z * [new tag] ciflow/inductor/169102 -> ciflow/inductor/169102 2025-12-04T12:23:15.9297289Z * [new tag] ciflow/inductor/169103 -> ciflow/inductor/169103 2025-12-04T12:23:15.9299156Z * [new tag] ciflow/inductor/169121 -> ciflow/inductor/169121 2025-12-04T12:23:15.9300791Z * [new tag] ciflow/inductor/169134 -> ciflow/inductor/169134 2025-12-04T12:23:15.9302619Z * [new tag] ciflow/inductor/169135 -> ciflow/inductor/169135 2025-12-04T12:23:15.9304352Z * [new tag] ciflow/inductor/169141 -> ciflow/inductor/169141 2025-12-04T12:23:15.9305922Z * [new tag] ciflow/inductor/169151 -> ciflow/inductor/169151 2025-12-04T12:23:15.9307717Z * [new tag] ciflow/inductor/169161 -> ciflow/inductor/169161 2025-12-04T12:23:15.9309335Z * [new tag] ciflow/inductor/169167 -> ciflow/inductor/169167 2025-12-04T12:23:15.9311232Z * [new tag] ciflow/inductor/169177 -> ciflow/inductor/169177 2025-12-04T12:23:15.9312990Z * [new tag] ciflow/inductor/169185 -> ciflow/inductor/169185 2025-12-04T12:23:15.9314614Z * [new tag] ciflow/inductor/169196 -> ciflow/inductor/169196 2025-12-04T12:23:15.9316238Z * [new tag] ciflow/inductor/169200 -> ciflow/inductor/169200 2025-12-04T12:23:15.9317938Z * [new tag] ciflow/inductor/169204 -> ciflow/inductor/169204 2025-12-04T12:23:15.9319509Z * [new tag] ciflow/inductor/169216 -> ciflow/inductor/169216 2025-12-04T12:23:15.9321170Z * [new tag] ciflow/inductor/169219 -> ciflow/inductor/169219 2025-12-04T12:23:15.9322784Z * [new tag] ciflow/inductor/169220 -> ciflow/inductor/169220 2025-12-04T12:23:15.9324634Z * [new tag] ciflow/inductor/169230 -> ciflow/inductor/169230 2025-12-04T12:23:15.9325992Z * [new tag] ciflow/inductor/169242 -> ciflow/inductor/169242 2025-12-04T12:23:15.9330541Z * [new tag] ciflow/inductor/169245 -> ciflow/inductor/169245 2025-12-04T12:23:15.9330998Z * [new tag] ciflow/inductor/169260 -> ciflow/inductor/169260 2025-12-04T12:23:15.9331709Z * [new tag] ciflow/inductor/169282 -> ciflow/inductor/169282 2025-12-04T12:23:15.9333575Z * [new tag] ciflow/inductor/169286 -> ciflow/inductor/169286 2025-12-04T12:23:15.9335254Z * [new tag] ciflow/inductor/169299 -> ciflow/inductor/169299 2025-12-04T12:23:15.9337019Z * [new tag] ciflow/inductor/169304 -> ciflow/inductor/169304 2025-12-04T12:23:15.9339099Z * [new tag] ciflow/inductor/169305 -> ciflow/inductor/169305 2025-12-04T12:23:15.9340755Z * [new tag] ciflow/inductor/169308 -> ciflow/inductor/169308 2025-12-04T12:23:15.9342448Z * [new tag] ciflow/inductor/169319 -> ciflow/inductor/169319 2025-12-04T12:23:15.9344071Z * [new tag] ciflow/inductor/169326 -> ciflow/inductor/169326 2025-12-04T12:23:15.9345682Z * [new tag] ciflow/inductor/169332 -> ciflow/inductor/169332 2025-12-04T12:23:15.9347364Z * [new tag] ciflow/inductor/169333 -> ciflow/inductor/169333 2025-12-04T12:23:15.9349459Z * [new tag] ciflow/inductor/169336 -> ciflow/inductor/169336 2025-12-04T12:23:15.9351064Z * [new tag] ciflow/inductor/169340 -> ciflow/inductor/169340 2025-12-04T12:23:15.9352706Z * [new tag] ciflow/inductor/169341 -> ciflow/inductor/169341 2025-12-04T12:23:15.9354373Z * [new tag] ciflow/inductor/169343 -> ciflow/inductor/169343 2025-12-04T12:23:15.9356031Z * [new tag] ciflow/inductor/169346 -> ciflow/inductor/169346 2025-12-04T12:23:15.9358050Z * [new tag] ciflow/inductor/169348 -> ciflow/inductor/169348 2025-12-04T12:23:15.9359705Z * [new tag] ciflow/inductor/169350 -> ciflow/inductor/169350 2025-12-04T12:23:15.9361307Z * [new tag] ciflow/inductor/169355 -> ciflow/inductor/169355 2025-12-04T12:23:15.9363004Z * [new tag] ciflow/inductor/169370 -> ciflow/inductor/169370 2025-12-04T12:23:15.9364954Z * [new tag] ciflow/inductor/169375 -> ciflow/inductor/169375 2025-12-04T12:23:15.9366581Z * [new tag] ciflow/inductor/169389 -> ciflow/inductor/169389 2025-12-04T12:23:15.9368221Z * [new tag] ciflow/inductor/169391 -> ciflow/inductor/169391 2025-12-04T12:23:15.9369896Z * [new tag] ciflow/inductor/169393 -> ciflow/inductor/169393 2025-12-04T12:23:15.9371536Z * [new tag] ciflow/inductor/169399 -> ciflow/inductor/169399 2025-12-04T12:23:15.9373334Z * [new tag] ciflow/inductor/169400 -> ciflow/inductor/169400 2025-12-04T12:23:15.9375410Z * [new tag] ciflow/inductor/169415 -> ciflow/inductor/169415 2025-12-04T12:23:15.9377013Z * [new tag] ciflow/inductor/169417 -> ciflow/inductor/169417 2025-12-04T12:23:15.9378682Z * [new tag] ciflow/inductor/169418 -> ciflow/inductor/169418 2025-12-04T12:23:15.9380618Z * [new tag] ciflow/inductor/169430 -> ciflow/inductor/169430 2025-12-04T12:23:15.9382415Z * [new tag] ciflow/inductor/169432 -> ciflow/inductor/169432 2025-12-04T12:23:15.9384139Z * [new tag] ciflow/inductor/169436 -> ciflow/inductor/169436 2025-12-04T12:23:15.9385890Z * [new tag] ciflow/inductor/169437 -> ciflow/inductor/169437 2025-12-04T12:23:15.9387542Z * [new tag] ciflow/inductor/169438 -> ciflow/inductor/169438 2025-12-04T12:23:15.9389215Z * [new tag] ciflow/inductor/169441 -> ciflow/inductor/169441 2025-12-04T12:23:15.9390842Z * [new tag] ciflow/inductor/169446 -> ciflow/inductor/169446 2025-12-04T12:23:15.9392610Z * [new tag] ciflow/inductor/169447 -> ciflow/inductor/169447 2025-12-04T12:23:15.9394393Z * [new tag] ciflow/inductor/169455 -> ciflow/inductor/169455 2025-12-04T12:23:15.9396040Z * [new tag] ciflow/inductor/169459 -> ciflow/inductor/169459 2025-12-04T12:23:15.9397844Z * [new tag] ciflow/inductor/169463 -> ciflow/inductor/169463 2025-12-04T12:23:15.9399704Z * [new tag] ciflow/inductor/169476 -> ciflow/inductor/169476 2025-12-04T12:23:15.9401346Z * [new tag] ciflow/inductor/169482 -> ciflow/inductor/169482 2025-12-04T12:23:15.9403005Z * [new tag] ciflow/inductor/169485 -> ciflow/inductor/169485 2025-12-04T12:23:15.9404672Z * [new tag] ciflow/inductor/169493 -> ciflow/inductor/169493 2025-12-04T12:23:15.9406297Z * [new tag] ciflow/inductor/169496 -> ciflow/inductor/169496 2025-12-04T12:23:15.9407976Z * [new tag] ciflow/inductor/169497 -> ciflow/inductor/169497 2025-12-04T12:23:15.9409629Z * [new tag] ciflow/inductor/169503 -> ciflow/inductor/169503 2025-12-04T12:23:15.9411221Z * [new tag] ciflow/inductor/169504 -> ciflow/inductor/169504 2025-12-04T12:23:15.9413271Z * [new tag] ciflow/inductor/169505 -> ciflow/inductor/169505 2025-12-04T12:23:15.9415374Z * [new tag] ciflow/inductor/169508 -> ciflow/inductor/169508 2025-12-04T12:23:15.9416932Z * [new tag] ciflow/inductor/169509 -> ciflow/inductor/169509 2025-12-04T12:23:15.9418583Z * [new tag] ciflow/inductor/169513 -> ciflow/inductor/169513 2025-12-04T12:23:15.9420227Z * [new tag] ciflow/inductor/169514 -> ciflow/inductor/169514 2025-12-04T12:23:15.9422083Z * [new tag] ciflow/inductor/169515 -> ciflow/inductor/169515 2025-12-04T12:23:15.9423697Z * [new tag] ciflow/inductor/169517 -> ciflow/inductor/169517 2025-12-04T12:23:15.9425339Z * [new tag] ciflow/inductor/169519 -> ciflow/inductor/169519 2025-12-04T12:23:15.9427338Z * [new tag] ciflow/inductor/169520 -> ciflow/inductor/169520 2025-12-04T12:23:15.9428650Z * [new tag] ciflow/inductor/169521 -> ciflow/inductor/169521 2025-12-04T12:23:15.9430464Z * [new tag] ciflow/inductor/169524 -> ciflow/inductor/169524 2025-12-04T12:23:15.9432113Z * [new tag] ciflow/inductor/169527 -> ciflow/inductor/169527 2025-12-04T12:23:15.9433756Z * [new tag] ciflow/inductor/169528 -> ciflow/inductor/169528 2025-12-04T12:23:15.9435567Z * [new tag] ciflow/inductor/169532 -> ciflow/inductor/169532 2025-12-04T12:23:15.9437206Z * [new tag] ciflow/inductor/169535 -> ciflow/inductor/169535 2025-12-04T12:23:15.9438869Z * [new tag] ciflow/inductor/169536 -> ciflow/inductor/169536 2025-12-04T12:23:15.9440232Z * [new tag] ciflow/inductor/169547 -> ciflow/inductor/169547 2025-12-04T12:23:15.9442116Z * [new tag] ciflow/inductor/169548 -> ciflow/inductor/169548 2025-12-04T12:23:15.9443734Z * [new tag] ciflow/inductor/169549 -> ciflow/inductor/169549 2025-12-04T12:23:15.9445439Z * [new tag] ciflow/inductor/169551 -> ciflow/inductor/169551 2025-12-04T12:23:15.9447077Z * [new tag] ciflow/inductor/169552 -> ciflow/inductor/169552 2025-12-04T12:23:15.9448733Z * [new tag] ciflow/inductor/169553 -> ciflow/inductor/169553 2025-12-04T12:23:15.9450368Z * [new tag] ciflow/inductor/169557 -> ciflow/inductor/169557 2025-12-04T12:23:15.9452442Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-12-04T12:23:15.9454218Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-12-04T12:23:15.9456082Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-12-04T12:23:15.9457953Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-12-04T12:23:15.9459187Z * [new tag] ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075 2025-12-04T12:23:15.9460941Z * [new tag] ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876 2025-12-04T12:23:15.9462239Z * [new tag] ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981 2025-12-04T12:23:15.9464513Z * [new tag] ciflow/mps/166254 -> ciflow/mps/166254 2025-12-04T12:23:15.9466045Z * [new tag] ciflow/mps/169017 -> ciflow/mps/169017 2025-12-04T12:23:15.9467713Z * [new tag] ciflow/mps/169372 -> ciflow/mps/169372 2025-12-04T12:23:15.9469251Z * [new tag] ciflow/mps/169478 -> ciflow/mps/169478 2025-12-04T12:23:15.9471192Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-12-04T12:23:15.9472385Z * [new tag] ciflow/op-benchmark/166075 -> ciflow/op-benchmark/166075 2025-12-04T12:23:15.9474192Z * [new tag] ciflow/op-benchmark/169544 -> ciflow/op-benchmark/169544 2025-12-04T12:23:15.9476129Z * [new tag] ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997 2025-12-04T12:23:15.9477654Z * [new tag] ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517 2025-12-04T12:23:15.9478994Z * [new tag] ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063 2025-12-04T12:23:15.9480729Z * [new tag] ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425 2025-12-04T12:23:15.9482773Z * [new tag] ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517 2025-12-04T12:23:15.9483845Z * [new tag] ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063 2025-12-04T12:23:15.9485605Z * [new tag] ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425 2025-12-04T12:23:15.9487673Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-12-04T12:23:15.9489300Z * [new tag] ciflow/periodic/167207 -> ciflow/periodic/167207 2025-12-04T12:23:15.9490784Z * [new tag] ciflow/periodic/167978 -> ciflow/periodic/167978 2025-12-04T12:23:15.9492286Z * [new tag] ciflow/periodic/168096 -> ciflow/periodic/168096 2025-12-04T12:23:15.9493868Z * [new tag] ciflow/periodic/169286 -> ciflow/periodic/169286 2025-12-04T12:23:15.9495628Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-12-04T12:23:15.9497307Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-12-04T12:23:15.9498969Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-12-04T12:23:15.9500744Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-12-04T12:23:15.9503256Z * [new tag] ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T12:23:15.9505044Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-12-04T12:23:15.9507221Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-12-04T12:23:15.9509001Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-12-04T12:23:15.9510854Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-12-04T12:23:15.9512721Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-12-04T12:23:15.9514611Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-12-04T12:23:15.9516525Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-12-04T12:23:15.9518297Z * [new tag] ciflow/pull/167207 -> ciflow/pull/167207 2025-12-04T12:23:15.9520410Z * [new tag] ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207 2025-12-04T12:23:15.9522224Z * [new tag] ciflow/rocm-mi200/165545 -> ciflow/rocm-mi200/165545 2025-12-04T12:23:15.9524256Z * [new tag] ciflow/rocm-mi200/165997 -> ciflow/rocm-mi200/165997 2025-12-04T12:23:15.9525900Z * [new tag] ciflow/rocm-mi200/168096 -> ciflow/rocm-mi200/168096 2025-12-04T12:23:15.9527711Z * [new tag] ciflow/rocm-mi200/168275 -> ciflow/rocm-mi200/168275 2025-12-04T12:23:15.9529159Z * [new tag] ciflow/rocm-mi200/169063 -> ciflow/rocm-mi200/169063 2025-12-04T12:23:15.9530870Z * [new tag] ciflow/rocm-mi200/169356 -> ciflow/rocm-mi200/169356 2025-12-04T12:23:15.9532359Z * [new tag] ciflow/rocm-mi200/169425 -> ciflow/rocm-mi200/169425 2025-12-04T12:23:15.9534166Z * [new tag] ciflow/rocm-mi300/165545 -> ciflow/rocm-mi300/165545 2025-12-04T12:23:15.9535773Z * [new tag] ciflow/rocm-mi300/167157 -> ciflow/rocm-mi300/167157 2025-12-04T12:23:15.9537278Z * [new tag] ciflow/rocm-mi300/168096 -> ciflow/rocm-mi300/168096 2025-12-04T12:23:15.9538761Z * [new tag] ciflow/rocm-mi300/169063 -> ciflow/rocm-mi300/169063 2025-12-04T12:23:15.9540265Z * [new tag] ciflow/rocm-mi300/169425 -> ciflow/rocm-mi300/169425 2025-12-04T12:23:15.9542181Z * [new tag] ciflow/rocm-mi355/167157 -> ciflow/rocm-mi355/167157 2025-12-04T12:23:15.9543958Z * [new tag] ciflow/rocm-mi355/168275 -> ciflow/rocm-mi355/168275 2025-12-04T12:23:15.9545048Z * [new tag] ciflow/rocm-mi355/169425 -> ciflow/rocm-mi355/169425 2025-12-04T12:23:15.9547153Z * [new tag] ciflow/rocm-navi31/168275 -> ciflow/rocm-navi31/168275 2025-12-04T12:23:15.9548487Z * [new tag] ciflow/rocm-navi31/169425 -> ciflow/rocm-navi31/169425 2025-12-04T12:23:15.9550530Z * [new tag] ciflow/rocm/115316 -> ciflow/rocm/115316 2025-12-04T12:23:15.9552021Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-12-04T12:23:15.9553620Z * [new tag] ciflow/rocm/160685 -> ciflow/rocm/160685 2025-12-04T12:23:15.9555129Z * [new tag] ciflow/rocm/161607 -> ciflow/rocm/161607 2025-12-04T12:23:15.9556678Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-12-04T12:23:15.9558191Z * [new tag] ciflow/rocm/165997 -> ciflow/rocm/165997 2025-12-04T12:23:15.9559695Z * [new tag] ciflow/rocm/166165 -> ciflow/rocm/166165 2025-12-04T12:23:15.9561231Z * [new tag] ciflow/rocm/166517 -> ciflow/rocm/166517 2025-12-04T12:23:15.9562762Z * [new tag] ciflow/rocm/167207 -> ciflow/rocm/167207 2025-12-04T12:23:15.9564262Z * [new tag] ciflow/rocm/167536 -> ciflow/rocm/167536 2025-12-04T12:23:15.9565769Z * [new tag] ciflow/rocm/167781 -> ciflow/rocm/167781 2025-12-04T12:23:15.9568228Z * [new tag] ciflow/rocm/167989 -> ciflow/rocm/167989 2025-12-04T12:23:15.9570154Z * [new tag] ciflow/rocm/168073 -> ciflow/rocm/168073 2025-12-04T12:23:15.9572029Z * [new tag] ciflow/rocm/168195 -> ciflow/rocm/168195 2025-12-04T12:23:15.9573627Z * [new tag] ciflow/rocm/168939 -> ciflow/rocm/168939 2025-12-04T12:23:15.9575255Z * [new tag] ciflow/rocm/168971 -> ciflow/rocm/168971 2025-12-04T12:23:15.9576885Z * [new tag] ciflow/rocm/169024 -> ciflow/rocm/169024 2025-12-04T12:23:15.9578469Z * [new tag] ciflow/rocm/169200 -> ciflow/rocm/169200 2025-12-04T12:23:15.9580085Z * [new tag] ciflow/rocm/169216 -> ciflow/rocm/169216 2025-12-04T12:23:15.9581696Z * [new tag] ciflow/rocm/169312 -> ciflow/rocm/169312 2025-12-04T12:23:15.9583517Z * [new tag] ciflow/rocm/169380 -> ciflow/rocm/169380 2025-12-04T12:23:15.9585085Z * [new tag] ciflow/rocm/169427 -> ciflow/rocm/169427 2025-12-04T12:23:15.9586702Z * [new tag] ciflow/rocm/169455 -> ciflow/rocm/169455 2025-12-04T12:23:15.9588350Z * [new tag] ciflow/rocm/169470 -> ciflow/rocm/169470 2025-12-04T12:23:15.9590016Z * [new tag] ciflow/rocm/169471 -> ciflow/rocm/169471 2025-12-04T12:23:15.9591641Z * [new tag] ciflow/rocm/169472 -> ciflow/rocm/169472 2025-12-04T12:23:15.9593300Z * [new tag] ciflow/rocm/169514 -> ciflow/rocm/169514 2025-12-04T12:23:15.9595263Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-12-04T12:23:15.9596929Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-12-04T12:23:15.9599041Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-12-04T12:23:15.9600189Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-12-04T12:23:15.9601862Z * [new tag] ciflow/slow/167207 -> ciflow/slow/167207 2025-12-04T12:23:15.9603374Z * [new tag] ciflow/slow/168050 -> ciflow/slow/168050 2025-12-04T12:23:15.9605276Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-12-04T12:23:15.9606935Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-12-04T12:23:15.9609008Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-12-04T12:23:15.9611080Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-12-04T12:23:15.9612994Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-12-04T12:23:15.9614742Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-12-04T12:23:15.9616564Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-12-04T12:23:15.9618331Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-12-04T12:23:15.9620506Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-12-04T12:23:15.9621719Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-12-04T12:23:15.9623790Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-12-04T12:23:15.9625712Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-12-04T12:23:15.9627681Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-12-04T12:23:15.9629390Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-12-04T12:23:15.9631575Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-12-04T12:23:15.9632926Z * [new tag] ciflow/torchbench/168175 -> ciflow/torchbench/168175 2025-12-04T12:23:15.9634886Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-12-04T12:23:15.9636347Z * [new tag] ciflow/trunk/157149 -> ciflow/trunk/157149 2025-12-04T12:23:15.9637906Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-12-04T12:23:15.9639415Z * [new tag] ciflow/trunk/159718 -> ciflow/trunk/159718 2025-12-04T12:23:15.9640909Z * [new tag] ciflow/trunk/160685 -> ciflow/trunk/160685 2025-12-04T12:23:15.9642435Z * [new tag] ciflow/trunk/160729 -> ciflow/trunk/160729 2025-12-04T12:23:15.9643932Z * [new tag] ciflow/trunk/162275 -> ciflow/trunk/162275 2025-12-04T12:23:15.9645467Z * [new tag] ciflow/trunk/162795 -> ciflow/trunk/162795 2025-12-04T12:23:15.9647019Z * [new tag] ciflow/trunk/163245 -> ciflow/trunk/163245 2025-12-04T12:23:15.9648552Z * [new tag] ciflow/trunk/163942 -> ciflow/trunk/163942 2025-12-04T12:23:15.9650064Z * [new tag] ciflow/trunk/165274 -> ciflow/trunk/165274 2025-12-04T12:23:15.9652060Z * [new tag] ciflow/trunk/165483 -> ciflow/trunk/165483 2025-12-04T12:23:15.9653994Z * [new tag] ciflow/trunk/165728 -> ciflow/trunk/165728 2025-12-04T12:23:15.9655853Z * [new tag] ciflow/trunk/165922 -> ciflow/trunk/165922 2025-12-04T12:23:15.9657528Z * [new tag] ciflow/trunk/166075 -> ciflow/trunk/166075 2025-12-04T12:23:15.9659318Z * [new tag] ciflow/trunk/166115 -> ciflow/trunk/166115 2025-12-04T12:23:15.9660891Z * [new tag] ciflow/trunk/166165 -> ciflow/trunk/166165 2025-12-04T12:23:15.9662556Z * [new tag] ciflow/trunk/166829 -> ciflow/trunk/166829 2025-12-04T12:23:15.9664336Z * [new tag] ciflow/trunk/166843 -> ciflow/trunk/166843 2025-12-04T12:23:15.9665866Z * [new tag] ciflow/trunk/166876 -> ciflow/trunk/166876 2025-12-04T12:23:15.9667609Z * [new tag] ciflow/trunk/167207 -> ciflow/trunk/167207 2025-12-04T12:23:15.9669064Z * [new tag] ciflow/trunk/167536 -> ciflow/trunk/167536 2025-12-04T12:23:15.9670694Z * [new tag] ciflow/trunk/167552 -> ciflow/trunk/167552 2025-12-04T12:23:15.9672275Z * [new tag] ciflow/trunk/167555 -> ciflow/trunk/167555 2025-12-04T12:23:15.9673867Z * [new tag] ciflow/trunk/167599 -> ciflow/trunk/167599 2025-12-04T12:23:15.9675451Z * [new tag] ciflow/trunk/167659 -> ciflow/trunk/167659 2025-12-04T12:23:15.9677197Z * [new tag] ciflow/trunk/167672 -> ciflow/trunk/167672 2025-12-04T12:23:15.9678798Z * [new tag] ciflow/trunk/167742 -> ciflow/trunk/167742 2025-12-04T12:23:15.9680415Z * [new tag] ciflow/trunk/167781 -> ciflow/trunk/167781 2025-12-04T12:23:15.9682219Z * [new tag] ciflow/trunk/167837 -> ciflow/trunk/167837 2025-12-04T12:23:15.9683895Z * [new tag] ciflow/trunk/167887 -> ciflow/trunk/167887 2025-12-04T12:23:15.9685453Z * [new tag] ciflow/trunk/167978 -> ciflow/trunk/167978 2025-12-04T12:23:15.9687055Z * [new tag] ciflow/trunk/168050 -> ciflow/trunk/168050 2025-12-04T12:23:15.9688624Z * [new tag] ciflow/trunk/168051 -> ciflow/trunk/168051 2025-12-04T12:23:15.9690221Z * [new tag] ciflow/trunk/168096 -> ciflow/trunk/168096 2025-12-04T12:23:15.9691813Z * [new tag] ciflow/trunk/168127 -> ciflow/trunk/168127 2025-12-04T12:23:15.9693439Z * [new tag] ciflow/trunk/168157 -> ciflow/trunk/168157 2025-12-04T12:23:15.9695007Z * [new tag] ciflow/trunk/168175 -> ciflow/trunk/168175 2025-12-04T12:23:15.9696613Z * [new tag] ciflow/trunk/168209 -> ciflow/trunk/168209 2025-12-04T12:23:15.9698358Z * [new tag] ciflow/trunk/168213 -> ciflow/trunk/168213 2025-12-04T12:23:15.9700082Z * [new tag] ciflow/trunk/168226 -> ciflow/trunk/168226 2025-12-04T12:23:15.9701680Z * [new tag] ciflow/trunk/168262 -> ciflow/trunk/168262 2025-12-04T12:23:15.9703507Z * [new tag] ciflow/trunk/168275 -> ciflow/trunk/168275 2025-12-04T12:23:15.9705188Z * [new tag] ciflow/trunk/168328 -> ciflow/trunk/168328 2025-12-04T12:23:15.9706766Z * [new tag] ciflow/trunk/168368 -> ciflow/trunk/168368 2025-12-04T12:23:15.9708409Z * [new tag] ciflow/trunk/168917 -> ciflow/trunk/168917 2025-12-04T12:23:15.9710127Z * [new tag] ciflow/trunk/168933 -> ciflow/trunk/168933 2025-12-04T12:23:15.9711906Z * [new tag] ciflow/trunk/168941 -> ciflow/trunk/168941 2025-12-04T12:23:15.9713491Z * [new tag] ciflow/trunk/168955 -> ciflow/trunk/168955 2025-12-04T12:23:15.9715105Z * [new tag] ciflow/trunk/168980 -> ciflow/trunk/168980 2025-12-04T12:23:15.9716891Z * [new tag] ciflow/trunk/169004 -> ciflow/trunk/169004 2025-12-04T12:23:15.9718551Z * [new tag] ciflow/trunk/169006 -> ciflow/trunk/169006 2025-12-04T12:23:15.9720131Z * [new tag] ciflow/trunk/169023 -> ciflow/trunk/169023 2025-12-04T12:23:15.9721720Z * [new tag] ciflow/trunk/169025 -> ciflow/trunk/169025 2025-12-04T12:23:15.9723352Z * [new tag] ciflow/trunk/169048 -> ciflow/trunk/169048 2025-12-04T12:23:15.9724942Z * [new tag] ciflow/trunk/169066 -> ciflow/trunk/169066 2025-12-04T12:23:15.9728671Z * [new tag] ciflow/trunk/169091 -> ciflow/trunk/169091 2025-12-04T12:23:15.9730408Z * [new tag] ciflow/trunk/169102 -> ciflow/trunk/169102 2025-12-04T12:23:15.9731583Z * [new tag] ciflow/trunk/169103 -> ciflow/trunk/169103 2025-12-04T12:23:15.9734000Z * [new tag] ciflow/trunk/169125 -> ciflow/trunk/169125 2025-12-04T12:23:15.9735715Z * [new tag] ciflow/trunk/169139 -> ciflow/trunk/169139 2025-12-04T12:23:15.9737446Z * [new tag] ciflow/trunk/169148 -> ciflow/trunk/169148 2025-12-04T12:23:15.9739021Z * [new tag] ciflow/trunk/169151 -> ciflow/trunk/169151 2025-12-04T12:23:15.9740621Z * [new tag] ciflow/trunk/169156 -> ciflow/trunk/169156 2025-12-04T12:23:15.9742508Z * [new tag] ciflow/trunk/169176 -> ciflow/trunk/169176 2025-12-04T12:23:15.9744145Z * [new tag] ciflow/trunk/169204 -> ciflow/trunk/169204 2025-12-04T12:23:15.9745693Z * [new tag] ciflow/trunk/169207 -> ciflow/trunk/169207 2025-12-04T12:23:15.9747375Z * [new tag] ciflow/trunk/169211 -> ciflow/trunk/169211 2025-12-04T12:23:15.9749190Z * [new tag] ciflow/trunk/169231 -> ciflow/trunk/169231 2025-12-04T12:23:15.9750840Z * [new tag] ciflow/trunk/169260 -> ciflow/trunk/169260 2025-12-04T12:23:15.9752721Z * [new tag] ciflow/trunk/169271 -> ciflow/trunk/169271 2025-12-04T12:23:15.9754353Z * [new tag] ciflow/trunk/169280 -> ciflow/trunk/169280 2025-12-04T12:23:15.9755996Z * [new tag] ciflow/trunk/169281 -> ciflow/trunk/169281 2025-12-04T12:23:15.9757613Z * [new tag] ciflow/trunk/169286 -> ciflow/trunk/169286 2025-12-04T12:23:15.9759745Z * [new tag] ciflow/trunk/169293 -> ciflow/trunk/169293 2025-12-04T12:23:15.9761330Z * [new tag] ciflow/trunk/169296 -> ciflow/trunk/169296 2025-12-04T12:23:15.9762929Z * [new tag] ciflow/trunk/169304 -> ciflow/trunk/169304 2025-12-04T12:23:15.9764570Z * [new tag] ciflow/trunk/169305 -> ciflow/trunk/169305 2025-12-04T12:23:15.9766224Z * [new tag] ciflow/trunk/169312 -> ciflow/trunk/169312 2025-12-04T12:23:15.9768157Z * [new tag] ciflow/trunk/169328 -> ciflow/trunk/169328 2025-12-04T12:23:15.9769734Z * [new tag] ciflow/trunk/169343 -> ciflow/trunk/169343 2025-12-04T12:23:15.9771373Z * [new tag] ciflow/trunk/169355 -> ciflow/trunk/169355 2025-12-04T12:23:15.9773015Z * [new tag] ciflow/trunk/169370 -> ciflow/trunk/169370 2025-12-04T12:23:15.9774797Z * [new tag] ciflow/trunk/169379 -> ciflow/trunk/169379 2025-12-04T12:23:15.9776431Z * [new tag] ciflow/trunk/169380 -> ciflow/trunk/169380 2025-12-04T12:23:15.9778086Z * [new tag] ciflow/trunk/169385 -> ciflow/trunk/169385 2025-12-04T12:23:15.9779676Z * [new tag] ciflow/trunk/169387 -> ciflow/trunk/169387 2025-12-04T12:23:15.9781422Z * [new tag] ciflow/trunk/169410 -> ciflow/trunk/169410 2025-12-04T12:23:15.9783195Z * [new tag] ciflow/trunk/169412 -> ciflow/trunk/169412 2025-12-04T12:23:15.9784846Z * [new tag] ciflow/trunk/169418 -> ciflow/trunk/169418 2025-12-04T12:23:15.9786589Z * [new tag] ciflow/trunk/169423 -> ciflow/trunk/169423 2025-12-04T12:23:15.9788121Z * [new tag] ciflow/trunk/169427 -> ciflow/trunk/169427 2025-12-04T12:23:15.9789715Z * [new tag] ciflow/trunk/169430 -> ciflow/trunk/169430 2025-12-04T12:23:15.9791355Z * [new tag] ciflow/trunk/169437 -> ciflow/trunk/169437 2025-12-04T12:23:15.9792937Z * [new tag] ciflow/trunk/169442 -> ciflow/trunk/169442 2025-12-04T12:23:15.9794643Z * [new tag] ciflow/trunk/169454 -> ciflow/trunk/169454 2025-12-04T12:23:15.9796173Z * [new tag] ciflow/trunk/169459 -> ciflow/trunk/169459 2025-12-04T12:23:15.9797939Z * [new tag] ciflow/trunk/169474 -> ciflow/trunk/169474 2025-12-04T12:23:15.9799506Z * [new tag] ciflow/trunk/169475 -> ciflow/trunk/169475 2025-12-04T12:23:15.9801110Z * [new tag] ciflow/trunk/169476 -> ciflow/trunk/169476 2025-12-04T12:23:15.9802875Z * [new tag] ciflow/trunk/169487 -> ciflow/trunk/169487 2025-12-04T12:23:15.9804519Z * [new tag] ciflow/trunk/169497 -> ciflow/trunk/169497 2025-12-04T12:23:15.9806092Z * [new tag] ciflow/trunk/169503 -> ciflow/trunk/169503 2025-12-04T12:23:15.9807681Z * [new tag] ciflow/trunk/169505 -> ciflow/trunk/169505 2025-12-04T12:23:15.9809263Z * [new tag] ciflow/trunk/169507 -> ciflow/trunk/169507 2025-12-04T12:23:15.9810920Z * [new tag] ciflow/trunk/169514 -> ciflow/trunk/169514 2025-12-04T12:23:15.9812509Z * [new tag] ciflow/trunk/169515 -> ciflow/trunk/169515 2025-12-04T12:23:15.9814108Z * [new tag] ciflow/trunk/169517 -> ciflow/trunk/169517 2025-12-04T12:23:15.9815709Z * [new tag] ciflow/trunk/169519 -> ciflow/trunk/169519 2025-12-04T12:23:15.9817382Z * [new tag] ciflow/trunk/169528 -> ciflow/trunk/169528 2025-12-04T12:23:15.9819236Z * [new tag] ciflow/trunk/169555 -> ciflow/trunk/169555 2025-12-04T12:23:15.9820831Z * [new tag] ciflow/trunk/169559 -> ciflow/trunk/169559 2025-12-04T12:23:15.9823031Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-12-04T12:23:15.9824846Z * [new tag] ciflow/vllm/165270 -> ciflow/vllm/165270 2025-12-04T12:23:15.9826392Z * [new tag] ciflow/vllm/165274 -> ciflow/vllm/165274 2025-12-04T12:23:15.9828097Z * [new tag] ciflow/vllm/166494 -> ciflow/vllm/166494 2025-12-04T12:23:15.9829529Z * [new tag] ciflow/vllm/169219 -> ciflow/vllm/169219 2025-12-04T12:23:15.9831032Z * [new tag] ciflow/vllm/169220 -> ciflow/vllm/169220 2025-12-04T12:23:15.9832890Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-12-04T12:23:15.9834350Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-12-04T12:23:15.9835898Z * [new tag] ciflow/xpu/161940 -> ciflow/xpu/161940 2025-12-04T12:23:15.9837545Z * [new tag] ciflow/xpu/163251 -> ciflow/xpu/163251 2025-12-04T12:23:15.9839038Z * [new tag] ciflow/xpu/166829 -> ciflow/xpu/166829 2025-12-04T12:23:15.9840547Z * [new tag] ciflow/xpu/166843 -> ciflow/xpu/166843 2025-12-04T12:23:15.9842024Z * [new tag] ciflow/xpu/167972 -> ciflow/xpu/167972 2025-12-04T12:23:15.9843542Z * [new tag] ciflow/xpu/167981 -> ciflow/xpu/167981 2025-12-04T12:23:15.9845048Z * [new tag] ciflow/xpu/168213 -> ciflow/xpu/168213 2025-12-04T12:23:15.9846609Z * [new tag] ciflow/xpu/168262 -> ciflow/xpu/168262 2025-12-04T12:23:15.9848117Z * [new tag] ciflow/xpu/168328 -> ciflow/xpu/168328 2025-12-04T12:23:15.9850086Z * [new tag] ciflow/xpu/168950 -> ciflow/xpu/168950 2025-12-04T12:23:15.9852119Z * [new tag] ciflow/xpu/169039 -> ciflow/xpu/169039 2025-12-04T12:23:15.9853895Z * [new tag] ciflow/xpu/169200 -> ciflow/xpu/169200 2025-12-04T12:23:15.9855480Z * [new tag] ciflow/xpu/169203 -> ciflow/xpu/169203 2025-12-04T12:23:15.9857238Z * [new tag] ciflow/xpu/169230 -> ciflow/xpu/169230 2025-12-04T12:23:15.9858694Z * [new tag] ciflow/xpu/169231 -> ciflow/xpu/169231 2025-12-04T12:23:15.9860397Z * [new tag] ciflow/xpu/169241 -> ciflow/xpu/169241 2025-12-04T12:23:15.9862071Z * [new tag] ciflow/xpu/169280 -> ciflow/xpu/169280 2025-12-04T12:23:15.9863828Z * [new tag] ciflow/xpu/169296 -> ciflow/xpu/169296 2025-12-04T12:23:15.9865499Z * [new tag] ciflow/xpu/169353 -> ciflow/xpu/169353 2025-12-04T12:23:15.9867174Z * [new tag] ciflow/xpu/169410 -> ciflow/xpu/169410 2025-12-04T12:23:15.9868756Z * [new tag] ciflow/xpu/169442 -> ciflow/xpu/169442 2025-12-04T12:23:15.9870340Z * [new tag] ciflow/xpu/169555 -> ciflow/xpu/169555 2025-12-04T12:23:15.9871958Z * [new tag] ciflow/xpu/169559 -> ciflow/xpu/169559 2025-12-04T12:23:15.9873569Z * [new tag] cslpull75 -> cslpull75 2025-12-04T12:23:15.9875115Z * [new tag] cslpull76 -> cslpull76 2025-12-04T12:23:15.9876734Z * [new tag] cslpull77 -> cslpull77 2025-12-04T12:23:15.9878345Z * [new tag] cslpull78 -> cslpull78 2025-12-04T12:23:15.9880275Z * [new tag] cslpull79 -> cslpull79 2025-12-04T12:23:15.9882290Z * [new tag] cslpull80 -> cslpull80 2025-12-04T12:23:15.9883931Z * [new tag] cslpull81 -> cslpull81 2025-12-04T12:23:15.9885572Z * [new tag] cslpull82 -> cslpull82 2025-12-04T12:23:15.9887282Z * [new tag] cslpull83 -> cslpull83 2025-12-04T12:23:15.9888930Z * [new tag] cslpull84 -> cslpull84 2025-12-04T12:23:15.9890524Z * [new tag] cslpull85 -> cslpull85 2025-12-04T12:23:15.9892226Z * [new tag] cslpull86 -> cslpull86 2025-12-04T12:23:15.9893897Z * [new tag] cslpull87 -> cslpull87 2025-12-04T12:23:15.9895643Z * [new tag] cslpull88 -> cslpull88 2025-12-04T12:23:15.9897282Z * [new tag] cslpull89 -> cslpull89 2025-12-04T12:23:15.9898748Z * [new tag] cslpull90 -> cslpull90 2025-12-04T12:23:15.9900828Z * [new tag] cslpull91 -> cslpull91 2025-12-04T12:23:15.9902540Z * [new tag] cslpull92 -> cslpull92 2025-12-04T12:23:15.9904261Z * [new tag] flight_5 -> flight_5 2025-12-04T12:23:15.9906201Z * [new tag] flight_5.1 -> flight_5.1 2025-12-04T12:23:15.9907896Z * [new tag] flight_5.2 -> flight_5.2 2025-12-04T12:23:15.9909668Z * [new tag] flight_5.3 -> flight_5.3 2025-12-04T12:23:15.9911286Z * [new tag] forpull1 -> forpull1 2025-12-04T12:23:15.9913292Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-12-04T12:23:15.9914968Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-12-04T12:23:15.9916629Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-12-04T12:23:15.9918380Z * [new tag] nightly-binary -> nightly-binary 2025-12-04T12:23:15.9920225Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-12-04T12:23:15.9922075Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-12-04T12:23:15.9924223Z * [new tag] trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 2025-12-04T12:23:15.9925970Z * [new tag] trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e 2025-12-04T12:23:15.9928218Z * [new tag] trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 2025-12-04T12:23:15.9930059Z * [new tag] trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654 2025-12-04T12:23:15.9931793Z * [new tag] trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb 2025-12-04T12:23:15.9933555Z * [new tag] trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b 2025-12-04T12:23:15.9935312Z * [new tag] trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 2025-12-04T12:23:15.9937040Z * [new tag] trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75 2025-12-04T12:23:15.9938947Z * [new tag] trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 2025-12-04T12:23:15.9940643Z * [new tag] trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 2025-12-04T12:23:15.9942510Z * [new tag] trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688 2025-12-04T12:23:15.9944330Z * [new tag] trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10 2025-12-04T12:23:15.9946147Z * [new tag] trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec 2025-12-04T12:23:15.9947830Z * [new tag] trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f 2025-12-04T12:23:15.9949816Z * [new tag] trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 2025-12-04T12:23:15.9951549Z * [new tag] trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 2025-12-04T12:23:15.9953281Z * [new tag] trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 2025-12-04T12:23:15.9955097Z * [new tag] trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 2025-12-04T12:23:15.9956775Z * [new tag] trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e 2025-12-04T12:23:15.9958511Z * [new tag] trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520 2025-12-04T12:23:15.9960319Z * [new tag] trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 2025-12-04T12:23:15.9962133Z * [new tag] trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c 2025-12-04T12:23:15.9980999Z * [new tag] trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d 2025-12-04T12:23:15.9981881Z * [new tag] trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 2025-12-04T12:23:15.9982348Z * [new tag] trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de 2025-12-04T12:23:15.9982751Z * [new tag] trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 2025-12-04T12:23:15.9983120Z * [new tag] trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 2025-12-04T12:23:15.9983637Z * [new tag] trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f 2025-12-04T12:23:15.9984044Z * [new tag] trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9 2025-12-04T12:23:15.9984459Z * [new tag] trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87 2025-12-04T12:23:15.9984943Z * [new tag] trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc 2025-12-04T12:23:15.9985353Z * [new tag] trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25 2025-12-04T12:23:15.9985763Z * [new tag] trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 2025-12-04T12:23:15.9986193Z * [new tag] trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf 2025-12-04T12:23:15.9986613Z * [new tag] trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd 2025-12-04T12:23:15.9987026Z * [new tag] trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 2025-12-04T12:23:15.9987450Z * [new tag] trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 2025-12-04T12:23:15.9988426Z * [new tag] trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35 2025-12-04T12:23:15.9990394Z * [new tag] trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec 2025-12-04T12:23:15.9992207Z * [new tag] trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 2025-12-04T12:23:15.9994027Z * [new tag] trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1 2025-12-04T12:23:15.9995736Z * [new tag] trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 2025-12-04T12:23:15.9997485Z * [new tag] trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 2025-12-04T12:23:15.9999228Z * [new tag] trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 2025-12-04T12:23:16.0000964Z * [new tag] trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf 2025-12-04T12:23:16.0002683Z * [new tag] trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee 2025-12-04T12:23:16.0004530Z * [new tag] trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 2025-12-04T12:23:16.0006033Z * [new tag] trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 2025-12-04T12:23:16.0007794Z * [new tag] trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae 2025-12-04T12:23:16.0009507Z * [new tag] trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f 2025-12-04T12:23:16.0011240Z * [new tag] trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c 2025-12-04T12:23:16.0013105Z * [new tag] trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247 2025-12-04T12:23:16.0014850Z * [new tag] trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c 2025-12-04T12:23:16.0016725Z * [new tag] trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a 2025-12-04T12:23:16.0018249Z * [new tag] trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686 2025-12-04T12:23:16.0020329Z * [new tag] trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 2025-12-04T12:23:16.0021966Z * [new tag] trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af 2025-12-04T12:23:16.0023841Z * [new tag] trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 2025-12-04T12:23:16.0025612Z * [new tag] trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873 2025-12-04T12:23:16.0027488Z * [new tag] trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 2025-12-04T12:23:16.0029110Z * [new tag] trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f 2025-12-04T12:23:16.0031174Z * [new tag] trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa 2025-12-04T12:23:16.0032845Z * [new tag] trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c 2025-12-04T12:23:16.0035158Z * [new tag] trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a 2025-12-04T12:23:16.0036832Z * [new tag] trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d 2025-12-04T12:23:16.0038678Z * [new tag] trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 2025-12-04T12:23:16.0040411Z * [new tag] trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 2025-12-04T12:23:16.0042262Z * [new tag] trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a 2025-12-04T12:23:16.0044041Z * [new tag] trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 2025-12-04T12:23:16.0045838Z * [new tag] trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 2025-12-04T12:23:16.0047628Z * [new tag] trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 2025-12-04T12:23:16.0049276Z * [new tag] trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96 2025-12-04T12:23:16.0050865Z * [new tag] trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc 2025-12-04T12:23:16.0052691Z * [new tag] trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 2025-12-04T12:23:16.0054436Z * [new tag] trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd 2025-12-04T12:23:16.0056031Z * [new tag] trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 2025-12-04T12:23:16.0058011Z * [new tag] trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 2025-12-04T12:23:16.0059765Z * [new tag] trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c 2025-12-04T12:23:16.0061586Z * [new tag] trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b 2025-12-04T12:23:16.0063302Z * [new tag] trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c 2025-12-04T12:23:16.0065236Z * [new tag] trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 2025-12-04T12:23:16.0066908Z * [new tag] trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 2025-12-04T12:23:16.0068683Z * [new tag] trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef 2025-12-04T12:23:16.0070432Z * [new tag] trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719 2025-12-04T12:23:16.0072176Z * [new tag] trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b 2025-12-04T12:23:16.0073984Z * [new tag] trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a 2025-12-04T12:23:16.0075697Z * [new tag] trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206 2025-12-04T12:23:16.0077511Z * [new tag] trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 2025-12-04T12:23:16.0079120Z * [new tag] trunk/685ba6bc01170c0cb793f872e56164df89b63573 -> trunk/685ba6bc01170c0cb793f872e56164df89b63573 2025-12-04T12:23:16.0080833Z * [new tag] trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 2025-12-04T12:23:16.0082618Z * [new tag] trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d 2025-12-04T12:23:16.0084511Z * [new tag] trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b 2025-12-04T12:23:16.0086635Z * [new tag] trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 2025-12-04T12:23:16.0088527Z * [new tag] trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 2025-12-04T12:23:16.0090314Z * [new tag] trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec 2025-12-04T12:23:16.0092054Z * [new tag] trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 2025-12-04T12:23:16.0093872Z * [new tag] trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d 2025-12-04T12:23:16.0095604Z * [new tag] trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a 2025-12-04T12:23:16.0097368Z * [new tag] trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e 2025-12-04T12:23:16.0099219Z * [new tag] trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 2025-12-04T12:23:16.0100935Z * [new tag] trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485 2025-12-04T12:23:16.0102790Z * [new tag] trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734 2025-12-04T12:23:16.0104522Z * [new tag] trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f 2025-12-04T12:23:16.0106304Z * [new tag] trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 2025-12-04T12:23:16.0108015Z * [new tag] trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f -> trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f 2025-12-04T12:23:16.0109905Z * [new tag] trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03 2025-12-04T12:23:16.0111816Z * [new tag] trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 2025-12-04T12:23:16.0113499Z * [new tag] trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 2025-12-04T12:23:16.0115068Z * [new tag] trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 2025-12-04T12:23:16.0116841Z * [new tag] trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca 2025-12-04T12:23:16.0118588Z * [new tag] trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b 2025-12-04T12:23:16.0120363Z * [new tag] trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609 2025-12-04T12:23:16.0122203Z * [new tag] trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b 2025-12-04T12:23:16.0123811Z * [new tag] trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T12:23:16.0125635Z * [new tag] trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 2025-12-04T12:23:16.0129744Z * [new tag] trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed 2025-12-04T12:23:16.0131470Z * [new tag] trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 2025-12-04T12:23:16.0133212Z * [new tag] trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e 2025-12-04T12:23:16.0134826Z * [new tag] trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead 2025-12-04T12:23:16.0137784Z * [new tag] trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718 2025-12-04T12:23:16.0138796Z * [new tag] trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0 2025-12-04T12:23:16.0140785Z * [new tag] trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75 2025-12-04T12:23:16.0142323Z * [new tag] trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece 2025-12-04T12:23:16.0144033Z * [new tag] trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6 2025-12-04T12:23:16.0146026Z * [new tag] trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 2025-12-04T12:23:16.0147862Z * [new tag] trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c 2025-12-04T12:23:16.0149723Z * [new tag] trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 2025-12-04T12:23:16.0151484Z * [new tag] trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 2025-12-04T12:23:16.0153307Z * [new tag] trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca 2025-12-04T12:23:16.0155117Z * [new tag] trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38 2025-12-04T12:23:16.0156732Z * [new tag] trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 2025-12-04T12:23:16.0158411Z * [new tag] trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c 2025-12-04T12:23:16.0160215Z * [new tag] trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 2025-12-04T12:23:16.0162051Z * [new tag] trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 2025-12-04T12:23:16.0163705Z * [new tag] trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa 2025-12-04T12:23:16.0165493Z * [new tag] trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d 2025-12-04T12:23:16.0167293Z * [new tag] trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 2025-12-04T12:23:16.0169026Z * [new tag] trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 2025-12-04T12:23:16.0170820Z * [new tag] trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d 2025-12-04T12:23:16.0172587Z * [new tag] trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a 2025-12-04T12:23:16.0174393Z * [new tag] trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 2025-12-04T12:23:16.0176240Z * [new tag] trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 2025-12-04T12:23:16.0178199Z * [new tag] trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa 2025-12-04T12:23:16.0179952Z * [new tag] trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d 2025-12-04T12:23:16.0181686Z * [new tag] trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c 2025-12-04T12:23:16.0183600Z * [new tag] trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 2025-12-04T12:23:16.0185360Z * [new tag] trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c 2025-12-04T12:23:16.0186964Z * [new tag] trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45 2025-12-04T12:23:16.0188844Z * [new tag] trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 2025-12-04T12:23:16.0190732Z * [new tag] trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e 2025-12-04T12:23:16.0192680Z * [new tag] trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e 2025-12-04T12:23:16.0194345Z * [new tag] trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e 2025-12-04T12:23:16.0196005Z * [new tag] trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 2025-12-04T12:23:16.0197876Z * [new tag] trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 2025-12-04T12:23:16.0199730Z * [new tag] trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 2025-12-04T12:23:16.0201593Z * [new tag] trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99 2025-12-04T12:23:16.0203876Z * [new tag] trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 2025-12-04T12:23:16.0205861Z * [new tag] trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 2025-12-04T12:23:16.0207690Z * [new tag] trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a 2025-12-04T12:23:16.0209627Z * [new tag] trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 2025-12-04T12:23:16.0211412Z * [new tag] trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 2025-12-04T12:23:16.0213202Z * [new tag] trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b 2025-12-04T12:23:16.0215150Z * [new tag] trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e 2025-12-04T12:23:16.0216889Z * [new tag] trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf 2025-12-04T12:23:16.0218626Z * [new tag] trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 2025-12-04T12:23:16.0220479Z * [new tag] trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f 2025-12-04T12:23:16.0222440Z * [new tag] trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f 2025-12-04T12:23:16.0224245Z * [new tag] trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2 2025-12-04T12:23:16.0226364Z * [new tag] trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 2025-12-04T12:23:16.0228294Z * [new tag] trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 2025-12-04T12:23:16.0230076Z * [new tag] trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 2025-12-04T12:23:16.0231923Z * [new tag] trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 2025-12-04T12:23:16.0234033Z * [new tag] trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 2025-12-04T12:23:16.0235846Z * [new tag] trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede 2025-12-04T12:23:16.0237705Z * [new tag] trunk/c0cb6e78404416d418350632bfc554710a5f7281 -> trunk/c0cb6e78404416d418350632bfc554710a5f7281 2025-12-04T12:23:16.0239659Z * [new tag] trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac 2025-12-04T12:23:16.0241411Z * [new tag] trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb 2025-12-04T12:23:16.0243063Z * [new tag] trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 2025-12-04T12:23:16.0245109Z * [new tag] trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 2025-12-04T12:23:16.0247019Z * [new tag] trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09 2025-12-04T12:23:16.0248692Z * [new tag] trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 2025-12-04T12:23:16.0250577Z * [new tag] trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a 2025-12-04T12:23:16.0252470Z * [new tag] trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace 2025-12-04T12:23:16.0254249Z * [new tag] trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39 2025-12-04T12:23:16.0256062Z * [new tag] trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 2025-12-04T12:23:16.0257999Z * [new tag] trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 2025-12-04T12:23:16.0259757Z * [new tag] trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf 2025-12-04T12:23:16.0261540Z * [new tag] trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 2025-12-04T12:23:16.0263472Z * [new tag] trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d 2025-12-04T12:23:16.0265419Z * [new tag] trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 2025-12-04T12:23:16.0267206Z * [new tag] trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 2025-12-04T12:23:16.0269041Z * [new tag] trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e 2025-12-04T12:23:16.0270816Z * [new tag] trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a 2025-12-04T12:23:16.0272632Z * [new tag] trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b 2025-12-04T12:23:16.0274526Z * [new tag] trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec 2025-12-04T12:23:16.0276262Z * [new tag] trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf 2025-12-04T12:23:16.0278061Z * [new tag] trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd 2025-12-04T12:23:16.0279894Z * [new tag] trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889 2025-12-04T12:23:16.0281768Z * [new tag] trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77 2025-12-04T12:23:16.0283894Z * [new tag] trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c 2025-12-04T12:23:16.0285810Z * [new tag] trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b 2025-12-04T12:23:16.0287447Z * [new tag] trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235 2025-12-04T12:23:16.0289294Z * [new tag] trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e 2025-12-04T12:23:16.0291537Z * [new tag] trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc 2025-12-04T12:23:16.0293455Z * [new tag] trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 -> trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 2025-12-04T12:23:16.0295342Z * [new tag] trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf 2025-12-04T12:23:16.0297142Z * [new tag] trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e 2025-12-04T12:23:16.0299022Z * [new tag] trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e 2025-12-04T12:23:16.0301161Z * [new tag] trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 2025-12-04T12:23:16.0303149Z * [new tag] trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 2025-12-04T12:23:16.0304990Z * [new tag] trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 2025-12-04T12:23:16.0306765Z * [new tag] trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598 2025-12-04T12:23:16.0308687Z * [new tag] trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 2025-12-04T12:23:16.0310469Z * [new tag] trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 2025-12-04T12:23:16.0312353Z * [new tag] trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 2025-12-04T12:23:16.0314025Z * [new tag] trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 2025-12-04T12:23:16.0315876Z * [new tag] trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 2025-12-04T12:23:16.0317692Z * [new tag] trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 2025-12-04T12:23:16.0319294Z * [new tag] trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 2025-12-04T12:23:16.0321240Z * [new tag] trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b 2025-12-04T12:23:16.0323482Z * [new tag] trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 2025-12-04T12:23:16.0326106Z * [new tag] trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 2025-12-04T12:23:16.0327949Z * [new tag] trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 2025-12-04T12:23:16.0329781Z * [new tag] trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T12:23:16.0331242Z * [new tag] v0.1.1 -> v0.1.1 2025-12-04T12:23:16.0332943Z * [new tag] v0.1.10 -> v0.1.10 2025-12-04T12:23:16.0334634Z * [new tag] v0.1.11 -> v0.1.11 2025-12-04T12:23:16.0336321Z * [new tag] v0.1.12 -> v0.1.12 2025-12-04T12:23:16.0337993Z * [new tag] v0.1.2 -> v0.1.2 2025-12-04T12:23:16.0339706Z * [new tag] v0.1.3 -> v0.1.3 2025-12-04T12:23:16.0341287Z * [new tag] v0.1.4 -> v0.1.4 2025-12-04T12:23:16.0343083Z * [new tag] v0.1.5 -> v0.1.5 2025-12-04T12:23:16.0344802Z * [new tag] v0.1.6 -> v0.1.6 2025-12-04T12:23:16.0346409Z * [new tag] v0.1.7 -> v0.1.7 2025-12-04T12:23:16.0348017Z * [new tag] v0.1.8 -> v0.1.8 2025-12-04T12:23:16.0349606Z * [new tag] v0.1.9 -> v0.1.9 2025-12-04T12:23:16.0351303Z * [new tag] v0.2.0 -> v0.2.0 2025-12-04T12:23:16.0353086Z * [new tag] v0.3.0 -> v0.3.0 2025-12-04T12:23:16.0355331Z * [new tag] v0.3.1 -> v0.3.1 2025-12-04T12:23:16.0357055Z * [new tag] v0.4.0 -> v0.4.0 2025-12-04T12:23:16.0358688Z * [new tag] v0.4.1 -> v0.4.1 2025-12-04T12:23:16.0360408Z * [new tag] v1.0.0 -> v1.0.0 2025-12-04T12:23:16.0362177Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-12-04T12:23:16.0363889Z * [new tag] v1.0.1 -> v1.0.1 2025-12-04T12:23:16.0365593Z * [new tag] v1.0rc0 -> v1.0rc0 2025-12-04T12:23:16.0367084Z * [new tag] v1.0rc1 -> v1.0rc1 2025-12-04T12:23:16.0368806Z * [new tag] v1.1.0 -> v1.1.0 2025-12-04T12:23:16.0370634Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-12-04T12:23:16.0372414Z * [new tag] v1.10.0 -> v1.10.0 2025-12-04T12:23:16.0374185Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-12-04T12:23:16.0375899Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-12-04T12:23:16.0377415Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-12-04T12:23:16.0379180Z * [new tag] v1.10.1 -> v1.10.1 2025-12-04T12:23:16.0380921Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-12-04T12:23:16.0382513Z * [new tag] v1.10.2 -> v1.10.2 2025-12-04T12:23:16.0384006Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-12-04T12:23:16.0385730Z * [new tag] v1.11.0 -> v1.11.0 2025-12-04T12:23:16.0387550Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-12-04T12:23:16.0389361Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-12-04T12:23:16.0391130Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-12-04T12:23:16.0392859Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-12-04T12:23:16.0394628Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-12-04T12:23:16.0396076Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-12-04T12:23:16.0397585Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-12-04T12:23:16.0399359Z * [new tag] v1.12.0 -> v1.12.0 2025-12-04T12:23:16.0401125Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-12-04T12:23:16.0402902Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-12-04T12:23:16.0404624Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-12-04T12:23:16.0406402Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-12-04T12:23:16.0408169Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-12-04T12:23:16.0409904Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-12-04T12:23:16.0411399Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-12-04T12:23:16.0412947Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-12-04T12:23:16.0414417Z * [new tag] v1.12.1 -> v1.12.1 2025-12-04T12:23:16.0416276Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-12-04T12:23:16.0418051Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-12-04T12:23:16.0419856Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-12-04T12:23:16.0421688Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-12-04T12:23:16.0423302Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-12-04T12:23:16.0425069Z * [new tag] v1.13.0 -> v1.13.0 2025-12-04T12:23:16.0429433Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-12-04T12:23:16.0431034Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-12-04T12:23:16.0432740Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-12-04T12:23:16.0434675Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-12-04T12:23:16.0436191Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-12-04T12:23:16.0437816Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-12-04T12:23:16.0439639Z * [new tag] v1.13.1 -> v1.13.1 2025-12-04T12:23:16.0441133Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-12-04T12:23:16.0443041Z * [new tag] v1.2.0 -> v1.2.0 2025-12-04T12:23:16.0444611Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-12-04T12:23:16.0446678Z * [new tag] v1.3.0 -> v1.3.0 2025-12-04T12:23:16.0448088Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-12-04T12:23:16.0449671Z * [new tag] v1.3.1 -> v1.3.1 2025-12-04T12:23:16.0451429Z * [new tag] v1.4.0 -> v1.4.0 2025-12-04T12:23:16.0453133Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-12-04T12:23:16.0454644Z * [new tag] v1.4.1 -> v1.4.1 2025-12-04T12:23:16.0456592Z * [new tag] v1.5.0 -> v1.5.0 2025-12-04T12:23:16.0458407Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-12-04T12:23:16.0460191Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-12-04T12:23:16.0462125Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-12-04T12:23:16.0463897Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-12-04T12:23:16.0465364Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-12-04T12:23:16.0467708Z * [new tag] v1.5.1 -> v1.5.1 2025-12-04T12:23:16.0469229Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-12-04T12:23:16.0470815Z * [new tag] v1.6.0 -> v1.6.0 2025-12-04T12:23:16.0472587Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-12-04T12:23:16.0474404Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-12-04T12:23:16.0476155Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-12-04T12:23:16.0477913Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-12-04T12:23:16.0479671Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-12-04T12:23:16.0481370Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-12-04T12:23:16.0482911Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-12-04T12:23:16.0484681Z * [new tag] v1.7.0 -> v1.7.0 2025-12-04T12:23:16.0486479Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-12-04T12:23:16.0488373Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-12-04T12:23:16.0490132Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-12-04T12:23:16.0491638Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-12-04T12:23:16.0493541Z * [new tag] v1.7.1 -> v1.7.1 2025-12-04T12:23:16.0495450Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-12-04T12:23:16.0497285Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-12-04T12:23:16.0498795Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-12-04T12:23:16.0500589Z * [new tag] v1.8.0 -> v1.8.0 2025-12-04T12:23:16.0502148Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-12-04T12:23:16.0504018Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-12-04T12:23:16.0505794Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-12-04T12:23:16.0507473Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-12-04T12:23:16.0509007Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-12-04T12:23:16.0510557Z * [new tag] v1.8.1 -> v1.8.1 2025-12-04T12:23:16.0512426Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-12-04T12:23:16.0513920Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-12-04T12:23:16.0515539Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-12-04T12:23:16.0518031Z * [new tag] v1.8.2 -> v1.8.2 2025-12-04T12:23:16.0519305Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-12-04T12:23:16.0521167Z * [new tag] v1.9.0 -> v1.9.0 2025-12-04T12:23:16.0522940Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-12-04T12:23:16.0524747Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-12-04T12:23:16.0526873Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-12-04T12:23:16.0528325Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-12-04T12:23:16.0530186Z * [new tag] v1.9.1 -> v1.9.1 2025-12-04T12:23:16.0532093Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-12-04T12:23:16.0533635Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-12-04T12:23:16.0535473Z * [new tag] v2.0.0 -> v2.0.0 2025-12-04T12:23:16.0537153Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-12-04T12:23:16.0538935Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-12-04T12:23:16.0540770Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-12-04T12:23:16.0542614Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-12-04T12:23:16.0544512Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-12-04T12:23:16.0546014Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-12-04T12:23:16.0547938Z * [new tag] v2.0.1 -> v2.0.1 2025-12-04T12:23:16.0549863Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-12-04T12:23:16.0551351Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-12-04T12:23:16.0553076Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-12-04T12:23:16.0554693Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-12-04T12:23:16.0556998Z * [new tag] v2.1.0 -> v2.1.0 2025-12-04T12:23:16.0558707Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-12-04T12:23:16.0560514Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-12-04T12:23:16.0562378Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-12-04T12:23:16.0564195Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-12-04T12:23:16.0566044Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-12-04T12:23:16.0567565Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-12-04T12:23:16.0569345Z * [new tag] v2.1.1 -> v2.1.1 2025-12-04T12:23:16.0571175Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-12-04T12:23:16.0572971Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-12-04T12:23:16.0574877Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-12-04T12:23:16.0576673Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-12-04T12:23:16.0578426Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-12-04T12:23:16.0580468Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-12-04T12:23:16.0582239Z * [new tag] v2.1.2 -> v2.1.2 2025-12-04T12:23:16.0584262Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-12-04T12:23:16.0586015Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-12-04T12:23:16.0587553Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-12-04T12:23:16.0589516Z * [new tag] v2.2.0 -> v2.2.0 2025-12-04T12:23:16.0591220Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-12-04T12:23:16.0592951Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-12-04T12:23:16.0594653Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-12-04T12:23:16.0596344Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-12-04T12:23:16.0598116Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-12-04T12:23:16.0599823Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-12-04T12:23:16.0601680Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-12-04T12:23:16.0602988Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-12-04T12:23:16.0604869Z * [new tag] v2.2.1 -> v2.2.1 2025-12-04T12:23:16.0606839Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-12-04T12:23:16.0608359Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-12-04T12:23:16.0609899Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-12-04T12:23:16.0611449Z * [new tag] v2.2.2 -> v2.2.2 2025-12-04T12:23:16.0613395Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-12-04T12:23:16.0614940Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-12-04T12:23:16.0616447Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-12-04T12:23:16.0618302Z * [new tag] v2.3.0 -> v2.3.0 2025-12-04T12:23:16.0620113Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-12-04T12:23:16.0622024Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-12-04T12:23:16.0624023Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-12-04T12:23:16.0625724Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-12-04T12:23:16.0627612Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-12-04T12:23:16.0629378Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-12-04T12:23:16.0631220Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-12-04T12:23:16.0633037Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-12-04T12:23:16.0634521Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-12-04T12:23:16.0636251Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-12-04T12:23:16.0638047Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-12-04T12:23:16.0639613Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-12-04T12:23:16.0641125Z * [new tag] v2.3.1 -> v2.3.1 2025-12-04T12:23:16.0642968Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-12-04T12:23:16.0644826Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-12-04T12:23:16.0646703Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-12-04T12:23:16.0648466Z * [new tag] v2.4.0 -> v2.4.0 2025-12-04T12:23:16.0650236Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-12-04T12:23:16.0651946Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-12-04T12:23:16.0653759Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-12-04T12:23:16.0655479Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-12-04T12:23:16.0657320Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-12-04T12:23:16.0659127Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-12-04T12:23:16.0661131Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-12-04T12:23:16.0662881Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-12-04T12:23:16.0664721Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-12-04T12:23:16.0666252Z * [new tag] v2.4.1 -> v2.4.1 2025-12-04T12:23:16.0668213Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-12-04T12:23:16.0669911Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-12-04T12:23:16.0671738Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-12-04T12:23:16.0673536Z * [new tag] v2.5.0 -> v2.5.0 2025-12-04T12:23:16.0675293Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-12-04T12:23:16.0676805Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-12-04T12:23:16.0678562Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-12-04T12:23:16.0680436Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-12-04T12:23:16.0682189Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-12-04T12:23:16.0683931Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-12-04T12:23:16.0685813Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-12-04T12:23:16.0687572Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-12-04T12:23:16.0689485Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-12-04T12:23:16.0691205Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-12-04T12:23:16.0693217Z * [new tag] v2.5.1 -> v2.5.1 2025-12-04T12:23:16.0694685Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-12-04T12:23:16.0696253Z * [new tag] v2.6.0 -> v2.6.0 2025-12-04T12:23:16.0698134Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-12-04T12:23:16.0699929Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-12-04T12:23:16.0701781Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-12-04T12:23:16.0703751Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-12-04T12:23:16.0705721Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-12-04T12:23:16.0707647Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-12-04T12:23:16.0709453Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-12-04T12:23:16.0711376Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-12-04T12:23:16.0713133Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-12-04T12:23:16.0715106Z * [new tag] v2.7.0 -> v2.7.0 2025-12-04T12:23:16.0716816Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-12-04T12:23:16.0718457Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-12-04T12:23:16.0720472Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-12-04T12:23:16.0722354Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-12-04T12:23:16.0724239Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-12-04T12:23:16.0726344Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-12-04T12:23:16.0728055Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-12-04T12:23:16.0729969Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-12-04T12:23:16.0731750Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-12-04T12:23:16.0733706Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-12-04T12:23:16.0735327Z * [new tag] v2.7.1 -> v2.7.1 2025-12-04T12:23:16.0737047Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-12-04T12:23:16.0738906Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-12-04T12:23:16.0740831Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-12-04T12:23:16.0742735Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-12-04T12:23:16.0744871Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-12-04T12:23:16.0746185Z * [new tag] v2.8.0 -> v2.8.0 2025-12-04T12:23:16.0748107Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-12-04T12:23:16.0749877Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-12-04T12:23:16.0751774Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-12-04T12:23:16.0753650Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-12-04T12:23:16.0755551Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-12-04T12:23:16.0757372Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-12-04T12:23:16.0759263Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-12-04T12:23:16.0761084Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-12-04T12:23:16.0762970Z * [new tag] v2.9.0 -> v2.9.0 2025-12-04T12:23:16.0764754Z * [new tag] v2.9.0-rc1 -> v2.9.0-rc1 2025-12-04T12:23:16.0766651Z * [new tag] v2.9.0-rc10 -> v2.9.0-rc10 2025-12-04T12:23:16.0768479Z * [new tag] v2.9.0-rc11 -> v2.9.0-rc11 2025-12-04T12:23:16.0770689Z * [new tag] v2.9.0-rc2 -> v2.9.0-rc2 2025-12-04T12:23:16.0772430Z * [new tag] v2.9.0-rc3 -> v2.9.0-rc3 2025-12-04T12:23:16.0774315Z * [new tag] v2.9.0-rc4 -> v2.9.0-rc4 2025-12-04T12:23:16.0776136Z * [new tag] v2.9.0-rc5 -> v2.9.0-rc5 2025-12-04T12:23:16.0778273Z * [new tag] v2.9.0-rc6 -> v2.9.0-rc6 2025-12-04T12:23:16.0780129Z * [new tag] v2.9.0-rc7 -> v2.9.0-rc7 2025-12-04T12:23:16.0782247Z * [new tag] v2.9.0-rc8 -> v2.9.0-rc8 2025-12-04T12:23:16.0783970Z * [new tag] v2.9.0-rc9 -> v2.9.0-rc9 2025-12-04T12:23:16.0785565Z * [new tag] v2.9.1 -> v2.9.1 2025-12-04T12:23:16.0787448Z * [new tag] v2.9.1-rc1 -> v2.9.1-rc1 2025-12-04T12:23:16.0789233Z * [new tag] v2.9.1-rc2 -> v2.9.1-rc2 2025-12-04T12:23:16.0791595Z * [new tag] viable/strict/1759343184 -> viable/strict/1759343184 2025-12-04T12:23:16.0793405Z * [new tag] viable/strict/1759346540 -> viable/strict/1759346540 2025-12-04T12:23:16.0795071Z * [new tag] viable/strict/1759348181 -> viable/strict/1759348181 2025-12-04T12:23:16.0796733Z * [new tag] viable/strict/1759350324 -> viable/strict/1759350324 2025-12-04T12:23:16.0798457Z * [new tag] viable/strict/1759351793 -> viable/strict/1759351793 2025-12-04T12:23:16.0800213Z * [new tag] viable/strict/1759353844 -> viable/strict/1759353844 2025-12-04T12:23:16.0801910Z * [new tag] viable/strict/1759355374 -> viable/strict/1759355374 2025-12-04T12:23:16.0803768Z * [new tag] viable/strict/1759357472 -> viable/strict/1759357472 2025-12-04T12:23:16.0805452Z * [new tag] viable/strict/1759361002 -> viable/strict/1759361002 2025-12-04T12:23:16.0807582Z * [new tag] viable/strict/1759362585 -> viable/strict/1759362585 2025-12-04T12:23:16.0809651Z * [new tag] viable/strict/1759365359 -> viable/strict/1759365359 2025-12-04T12:23:16.0811362Z * [new tag] viable/strict/1759370089 -> viable/strict/1759370089 2025-12-04T12:23:16.0813158Z * [new tag] viable/strict/1759377554 -> viable/strict/1759377554 2025-12-04T12:23:16.0814915Z * [new tag] viable/strict/1759379133 -> viable/strict/1759379133 2025-12-04T12:23:16.0816731Z * [new tag] viable/strict/1759389871 -> viable/strict/1759389871 2025-12-04T12:23:16.0818537Z * [new tag] viable/strict/1759393562 -> viable/strict/1759393562 2025-12-04T12:23:16.0820310Z * [new tag] viable/strict/1759395076 -> viable/strict/1759395076 2025-12-04T12:23:16.0822211Z * [new tag] viable/strict/1759398579 -> viable/strict/1759398579 2025-12-04T12:23:16.0824065Z * [new tag] viable/strict/1759404142 -> viable/strict/1759404142 2025-12-04T12:23:16.0825881Z * [new tag] viable/strict/1759405773 -> viable/strict/1759405773 2025-12-04T12:23:16.0830178Z * [new tag] viable/strict/1759408041 -> viable/strict/1759408041 2025-12-04T12:23:16.0831932Z * [new tag] viable/strict/1759411593 -> viable/strict/1759411593 2025-12-04T12:23:16.0834112Z * [new tag] viable/strict/1759427395 -> viable/strict/1759427395 2025-12-04T12:23:16.0835914Z * [new tag] viable/strict/1759434582 -> viable/strict/1759434582 2025-12-04T12:23:16.0837807Z * [new tag] viable/strict/1759436720 -> viable/strict/1759436720 2025-12-04T12:23:16.0840047Z * [new tag] viable/strict/1759440219 -> viable/strict/1759440219 2025-12-04T12:23:16.0841908Z * [new tag] viable/strict/1759441948 -> viable/strict/1759441948 2025-12-04T12:23:16.0843677Z * [new tag] viable/strict/1759443860 -> viable/strict/1759443860 2025-12-04T12:23:16.0845479Z * [new tag] viable/strict/1759445377 -> viable/strict/1759445377 2025-12-04T12:23:16.0847329Z * [new tag] viable/strict/1759447415 -> viable/strict/1759447415 2025-12-04T12:23:16.0849113Z * [new tag] viable/strict/1759451750 -> viable/strict/1759451750 2025-12-04T12:23:16.0850959Z * [new tag] viable/strict/1759453910 -> viable/strict/1759453910 2025-12-04T12:23:16.0852800Z * [new tag] viable/strict/1759456483 -> viable/strict/1759456483 2025-12-04T12:23:16.0854638Z * [new tag] viable/strict/1759459279 -> viable/strict/1759459279 2025-12-04T12:23:16.0856407Z * [new tag] viable/strict/1759460742 -> viable/strict/1759460742 2025-12-04T12:23:16.0858235Z * [new tag] viable/strict/1759462025 -> viable/strict/1759462025 2025-12-04T12:23:16.0860022Z * [new tag] viable/strict/1759469086 -> viable/strict/1759469086 2025-12-04T12:23:16.0861906Z * [new tag] viable/strict/1759470581 -> viable/strict/1759470581 2025-12-04T12:23:16.0863807Z * [new tag] viable/strict/1759472786 -> viable/strict/1759472786 2025-12-04T12:23:16.0865566Z * [new tag] viable/strict/1759476294 -> viable/strict/1759476294 2025-12-04T12:23:16.0867363Z * [new tag] viable/strict/1759479963 -> viable/strict/1759479963 2025-12-04T12:23:16.0869126Z * [new tag] viable/strict/1759492177 -> viable/strict/1759492177 2025-12-04T12:23:16.0870945Z * [new tag] viable/strict/1759519278 -> viable/strict/1759519278 2025-12-04T12:23:16.0872709Z * [new tag] viable/strict/1759524580 -> viable/strict/1759524580 2025-12-04T12:23:16.0874531Z * [new tag] viable/strict/1759528193 -> viable/strict/1759528193 2025-12-04T12:23:16.0876535Z * [new tag] viable/strict/1759533797 -> viable/strict/1759533797 2025-12-04T12:23:16.0878530Z * [new tag] viable/strict/1759542780 -> viable/strict/1759542780 2025-12-04T12:23:16.0880203Z * [new tag] viable/strict/1759549779 -> viable/strict/1759549779 2025-12-04T12:23:16.0881996Z * [new tag] viable/strict/1759555455 -> viable/strict/1759555455 2025-12-04T12:23:16.0883792Z * [new tag] viable/strict/1759559176 -> viable/strict/1759559176 2025-12-04T12:23:16.0885619Z * [new tag] viable/strict/1759560629 -> viable/strict/1759560629 2025-12-04T12:23:16.0887380Z * [new tag] viable/strict/1759569848 -> viable/strict/1759569848 2025-12-04T12:23:16.0889467Z * [new tag] viable/strict/1759571382 -> viable/strict/1759571382 2025-12-04T12:23:16.0891148Z * [new tag] viable/strict/1759573474 -> viable/strict/1759573474 2025-12-04T12:23:16.0892915Z * [new tag] viable/strict/1759618187 -> viable/strict/1759618187 2025-12-04T12:23:16.0894713Z * [new tag] viable/strict/1759626742 -> viable/strict/1759626742 2025-12-04T12:23:16.0896753Z * [new tag] viable/strict/1759632427 -> viable/strict/1759632427 2025-12-04T12:23:16.0898497Z * [new tag] viable/strict/1759634971 -> viable/strict/1759634971 2025-12-04T12:23:16.0900324Z * [new tag] viable/strict/1759661382 -> viable/strict/1759661382 2025-12-04T12:23:16.0902329Z * [new tag] viable/strict/1759663294 -> viable/strict/1759663294 2025-12-04T12:23:16.0904117Z * [new tag] viable/strict/1759708178 -> viable/strict/1759708178 2025-12-04T12:23:16.0905905Z * [new tag] viable/strict/1759715695 -> viable/strict/1759715695 2025-12-04T12:23:16.0907697Z * [new tag] viable/strict/1759728293 -> viable/strict/1759728293 2025-12-04T12:23:16.0909493Z * [new tag] viable/strict/1759735513 -> viable/strict/1759735513 2025-12-04T12:23:16.0911372Z * [new tag] viable/strict/1759739177 -> viable/strict/1759739177 2025-12-04T12:23:16.0913138Z * [new tag] viable/strict/1759758635 -> viable/strict/1759758635 2025-12-04T12:23:16.0914994Z * [new tag] viable/strict/1759765784 -> viable/strict/1759765784 2025-12-04T12:23:16.0916711Z * [new tag] viable/strict/1759767948 -> viable/strict/1759767948 2025-12-04T12:23:16.0918645Z * [new tag] viable/strict/1759771461 -> viable/strict/1759771461 2025-12-04T12:23:16.0920224Z * [new tag] viable/strict/1759776706 -> viable/strict/1759776706 2025-12-04T12:23:16.0922067Z * [new tag] viable/strict/1759782317 -> viable/strict/1759782317 2025-12-04T12:23:16.0923952Z * [new tag] viable/strict/1759783777 -> viable/strict/1759783777 2025-12-04T12:23:16.0925962Z * [new tag] viable/strict/1759785815 -> viable/strict/1759785815 2025-12-04T12:23:16.0927875Z * [new tag] viable/strict/1759789459 -> viable/strict/1759789459 2025-12-04T12:23:16.0929550Z * [new tag] viable/strict/1759790974 -> viable/strict/1759790974 2025-12-04T12:23:16.0931190Z * [new tag] viable/strict/1759794583 -> viable/strict/1759794583 2025-12-04T12:23:16.0933011Z * [new tag] viable/strict/1759797408 -> viable/strict/1759797408 2025-12-04T12:23:16.0934786Z * [new tag] viable/strict/1759799518 -> viable/strict/1759799518 2025-12-04T12:23:16.0936581Z * [new tag] viable/strict/1759804909 -> viable/strict/1759804909 2025-12-04T12:23:16.0938374Z * [new tag] viable/strict/1759807643 -> viable/strict/1759807643 2025-12-04T12:23:16.0940198Z * [new tag] viable/strict/1759809089 -> viable/strict/1759809089 2025-12-04T12:23:16.0942111Z * [new tag] viable/strict/1759811145 -> viable/strict/1759811145 2025-12-04T12:23:16.0944192Z * [new tag] viable/strict/1759812581 -> viable/strict/1759812581 2025-12-04T12:23:16.0945881Z * [new tag] viable/strict/1759814683 -> viable/strict/1759814683 2025-12-04T12:23:16.0947698Z * [new tag] viable/strict/1759821889 -> viable/strict/1759821889 2025-12-04T12:23:16.0949591Z * [new tag] viable/strict/1759823376 -> viable/strict/1759823376 2025-12-04T12:23:16.0951325Z * [new tag] viable/strict/1759827107 -> viable/strict/1759827107 2025-12-04T12:23:16.0953157Z * [new tag] viable/strict/1759830577 -> viable/strict/1759830577 2025-12-04T12:23:16.0955191Z * [new tag] viable/strict/1759832720 -> viable/strict/1759832720 2025-12-04T12:23:16.0957414Z * [new tag] viable/strict/1759842063 -> viable/strict/1759842063 2025-12-04T12:23:16.0959222Z * [new tag] viable/strict/1759847121 -> viable/strict/1759847121 2025-12-04T12:23:16.0961414Z * [new tag] viable/strict/1759850721 -> viable/strict/1759850721 2025-12-04T12:23:16.0963164Z * [new tag] viable/strict/1759857870 -> viable/strict/1759857870 2025-12-04T12:23:16.0965019Z * [new tag] viable/strict/1759863143 -> viable/strict/1759863143 2025-12-04T12:23:16.0966856Z * [new tag] viable/strict/1759875874 -> viable/strict/1759875874 2025-12-04T12:23:16.0968472Z * [new tag] viable/strict/1759877385 -> viable/strict/1759877385 2025-12-04T12:23:16.0970361Z * [new tag] viable/strict/1759883801 -> viable/strict/1759883801 2025-12-04T12:23:16.0972171Z * [new tag] viable/strict/1759885922 -> viable/strict/1759885922 2025-12-04T12:23:16.0973924Z * [new tag] viable/strict/1759888488 -> viable/strict/1759888488 2025-12-04T12:23:16.0975702Z * [new tag] viable/strict/1759895471 -> viable/strict/1759895471 2025-12-04T12:23:16.0977544Z * [new tag] viable/strict/1759904803 -> viable/strict/1759904803 2025-12-04T12:23:16.0979627Z * [new tag] viable/strict/1759908300 -> viable/strict/1759908300 2025-12-04T12:23:16.0981523Z * [new tag] viable/strict/1759915520 -> viable/strict/1759915520 2025-12-04T12:23:16.0983465Z * [new tag] viable/strict/1759916978 -> viable/strict/1759916978 2025-12-04T12:23:16.0985091Z * [new tag] viable/strict/1759930024 -> viable/strict/1759930024 2025-12-04T12:23:16.0986922Z * [new tag] viable/strict/1759948122 -> viable/strict/1759948122 2025-12-04T12:23:16.0988782Z * [new tag] viable/strict/1759952983 -> viable/strict/1759952983 2025-12-04T12:23:16.0990723Z * [new tag] viable/strict/1759955121 -> viable/strict/1759955121 2025-12-04T12:23:16.0992489Z * [new tag] viable/strict/1759962298 -> viable/strict/1759962298 2025-12-04T12:23:16.0994313Z * [new tag] viable/strict/1759965837 -> viable/strict/1759965837 2025-12-04T12:23:16.0996083Z * [new tag] viable/strict/1759970213 -> viable/strict/1759970213 2025-12-04T12:23:16.0997905Z * [new tag] viable/strict/1759974894 -> viable/strict/1759974894 2025-12-04T12:23:16.0999687Z * [new tag] viable/strict/1759977763 -> viable/strict/1759977763 2025-12-04T12:23:16.1001559Z * [new tag] viable/strict/1759979241 -> viable/strict/1759979241 2025-12-04T12:23:16.1003353Z * [new tag] viable/strict/1759985417 -> viable/strict/1759985417 2025-12-04T12:23:16.1005195Z * [new tag] viable/strict/1759987490 -> viable/strict/1759987490 2025-12-04T12:23:16.1007022Z * [new tag] viable/strict/1759996180 -> viable/strict/1759996180 2025-12-04T12:23:16.1008810Z * [new tag] viable/strict/1760065682 -> viable/strict/1760065682 2025-12-04T12:23:16.1010796Z * [new tag] viable/strict/1760066894 -> viable/strict/1760066894 2025-12-04T12:23:16.1012511Z * [new tag] viable/strict/1760070345 -> viable/strict/1760070345 2025-12-04T12:23:16.1014425Z * [new tag] viable/strict/1760089782 -> viable/strict/1760089782 2025-12-04T12:23:16.1016236Z * [new tag] viable/strict/1760091921 -> viable/strict/1760091921 2025-12-04T12:23:16.1018051Z * [new tag] viable/strict/1760127924 -> viable/strict/1760127924 2025-12-04T12:23:16.1019864Z * [new tag] viable/strict/1760129489 -> viable/strict/1760129489 2025-12-04T12:23:16.1021803Z * [new tag] viable/strict/1760132980 -> viable/strict/1760132980 2025-12-04T12:23:16.1023768Z * [new tag] viable/strict/1760135060 -> viable/strict/1760135060 2025-12-04T12:23:16.1025899Z * [new tag] viable/strict/1760215782 -> viable/strict/1760215782 2025-12-04T12:23:16.1027844Z * [new tag] viable/strict/1760273849 -> viable/strict/1760273849 2025-12-04T12:23:16.1029492Z * [new tag] viable/strict/1760275517 -> viable/strict/1760275517 2025-12-04T12:23:16.1031280Z * [new tag] viable/strict/1760276979 -> viable/strict/1760276979 2025-12-04T12:23:16.1033119Z * [new tag] viable/strict/1760279007 -> viable/strict/1760279007 2025-12-04T12:23:16.1034775Z * [new tag] viable/strict/1760286328 -> viable/strict/1760286328 2025-12-04T12:23:16.1036423Z * [new tag] viable/strict/1760493304 -> viable/strict/1760493304 2025-12-04T12:23:16.1038268Z * [new tag] viable/strict/1760496298 -> viable/strict/1760496298 2025-12-04T12:23:16.1040105Z * [new tag] viable/strict/1760518396 -> viable/strict/1760518396 2025-12-04T12:23:16.1041943Z * [new tag] viable/strict/1760534864 -> viable/strict/1760534864 2025-12-04T12:23:16.1043749Z * [new tag] viable/strict/1760549062 -> viable/strict/1760549062 2025-12-04T12:23:16.1045625Z * [new tag] viable/strict/1760552799 -> viable/strict/1760552799 2025-12-04T12:23:16.1047504Z * [new tag] viable/strict/1760554355 -> viable/strict/1760554355 2025-12-04T12:23:16.1049356Z * [new tag] viable/strict/1760556275 -> viable/strict/1760556275 2025-12-04T12:23:16.1051158Z * [new tag] viable/strict/1760564979 -> viable/strict/1760564979 2025-12-04T12:23:16.1052951Z * [new tag] viable/strict/1760567049 -> viable/strict/1760567049 2025-12-04T12:23:16.1055207Z * [new tag] viable/strict/1760568585 -> viable/strict/1760568585 2025-12-04T12:23:16.1056990Z * [new tag] viable/strict/1760570630 -> viable/strict/1760570630 2025-12-04T12:23:16.1058769Z * [new tag] viable/strict/1760572180 -> viable/strict/1760572180 2025-12-04T12:23:16.1060588Z * [new tag] viable/strict/1760575094 -> viable/strict/1760575094 2025-12-04T12:23:16.1062569Z * [new tag] viable/strict/1760579709 -> viable/strict/1760579709 2025-12-04T12:23:16.1064945Z * [new tag] viable/strict/1760582614 -> viable/strict/1760582614 2025-12-04T12:23:16.1066766Z * [new tag] viable/strict/1760586815 -> viable/strict/1760586815 2025-12-04T12:23:16.1068459Z * [new tag] viable/strict/1760588829 -> viable/strict/1760588829 2025-12-04T12:23:16.1070249Z * [new tag] viable/strict/1760590200 -> viable/strict/1760590200 2025-12-04T12:23:16.1072097Z * [new tag] viable/strict/1760592311 -> viable/strict/1760592311 2025-12-04T12:23:16.1074104Z * [new tag] viable/strict/1760619733 -> viable/strict/1760619733 2025-12-04T12:23:16.1076338Z * [new tag] viable/strict/1760628335 -> viable/strict/1760628335 2025-12-04T12:23:16.1078245Z * [new tag] viable/strict/1760635490 -> viable/strict/1760635490 2025-12-04T12:23:16.1079898Z * [new tag] viable/strict/1760640743 -> viable/strict/1760640743 2025-12-04T12:23:16.1081680Z * [new tag] viable/strict/1760642528 -> viable/strict/1760642528 2025-12-04T12:23:16.1083559Z * [new tag] viable/strict/1760646330 -> viable/strict/1760646330 2025-12-04T12:23:16.1085346Z * [new tag] viable/strict/1760666101 -> viable/strict/1760666101 2025-12-04T12:23:16.1087155Z * [new tag] viable/strict/1760668990 -> viable/strict/1760668990 2025-12-04T12:23:16.1089001Z * [new tag] viable/strict/1760670600 -> viable/strict/1760670600 2025-12-04T12:23:16.1090767Z * [new tag] viable/strict/1760671704 -> viable/strict/1760671704 2025-12-04T12:23:16.1092692Z * [new tag] viable/strict/1760673121 -> viable/strict/1760673121 2025-12-04T12:23:16.1094521Z * [new tag] viable/strict/1760675352 -> viable/strict/1760675352 2025-12-04T12:23:16.1096362Z * [new tag] viable/strict/1760696731 -> viable/strict/1760696731 2025-12-04T12:23:16.1099576Z * [new tag] viable/strict/1760723515 -> viable/strict/1760723515 2025-12-04T12:23:16.1101395Z * [new tag] viable/strict/1760727234 -> viable/strict/1760727234 2025-12-04T12:23:16.1103483Z * [new tag] viable/strict/1760730578 -> viable/strict/1760730578 2025-12-04T12:23:16.1105319Z * [new tag] viable/strict/1760732726 -> viable/strict/1760732726 2025-12-04T12:23:16.1107134Z * [new tag] viable/strict/1760734180 -> viable/strict/1760734180 2025-12-04T12:23:16.1109026Z * [new tag] viable/strict/1760736251 -> viable/strict/1760736251 2025-12-04T12:23:16.1110843Z * [new tag] viable/strict/1760737772 -> viable/strict/1760737772 2025-12-04T12:23:16.1112752Z * [new tag] viable/strict/1760758005 -> viable/strict/1760758005 2025-12-04T12:23:16.1114494Z * [new tag] viable/strict/1760761532 -> viable/strict/1760761532 2025-12-04T12:23:16.1116343Z * [new tag] viable/strict/1760802581 -> viable/strict/1760802581 2025-12-04T12:23:16.1118136Z * [new tag] viable/strict/1760827772 -> viable/strict/1760827772 2025-12-04T12:23:16.1119922Z * [new tag] viable/strict/1760834524 -> viable/strict/1760834524 2025-12-04T12:23:16.1121805Z * [new tag] viable/strict/1760845009 -> viable/strict/1760845009 2025-12-04T12:23:16.1123711Z * [new tag] viable/strict/1760876836 -> viable/strict/1760876836 2025-12-04T12:23:16.1125665Z * [new tag] viable/strict/1760880329 -> viable/strict/1760880329 2025-12-04T12:23:16.1127642Z * [new tag] viable/strict/1760888987 -> viable/strict/1760888987 2025-12-04T12:23:16.1129357Z * [new tag] viable/strict/1760912664 -> viable/strict/1760912664 2025-12-04T12:23:16.1131130Z * [new tag] viable/strict/1760925321 -> viable/strict/1760925321 2025-12-04T12:23:16.1132874Z * [new tag] viable/strict/1760931488 -> viable/strict/1760931488 2025-12-04T12:23:16.1134775Z * [new tag] viable/strict/1760932693 -> viable/strict/1760932693 2025-12-04T12:23:16.1136611Z * [new tag] viable/strict/1761004184 -> viable/strict/1761004184 2025-12-04T12:23:16.1138440Z * [new tag] viable/strict/1761014748 -> viable/strict/1761014748 2025-12-04T12:23:16.1140226Z * [new tag] viable/strict/1761017491 -> viable/strict/1761017491 2025-12-04T12:23:16.1142083Z * [new tag] viable/strict/1761018806 -> viable/strict/1761018806 2025-12-04T12:23:16.1144079Z * [new tag] viable/strict/1761020754 -> viable/strict/1761020754 2025-12-04T12:23:16.1146055Z * [new tag] viable/strict/1761024303 -> viable/strict/1761024303 2025-12-04T12:23:16.1147697Z * [new tag] viable/strict/1761029582 -> viable/strict/1761029582 2025-12-04T12:23:16.1149492Z * [new tag] viable/strict/1761031535 -> viable/strict/1761031535 2025-12-04T12:23:16.1151329Z * [new tag] viable/strict/1761035196 -> viable/strict/1761035196 2025-12-04T12:23:16.1153201Z * [new tag] viable/strict/1761045825 -> viable/strict/1761045825 2025-12-04T12:23:16.1155065Z * [new tag] viable/strict/1761054796 -> viable/strict/1761054796 2025-12-04T12:23:16.1156879Z * [new tag] viable/strict/1761060314 -> viable/strict/1761060314 2025-12-04T12:23:16.1158741Z * [new tag] viable/strict/1761071198 -> viable/strict/1761071198 2025-12-04T12:23:16.1160612Z * [new tag] viable/strict/1761074628 -> viable/strict/1761074628 2025-12-04T12:23:16.1162464Z * [new tag] viable/strict/1761078351 -> viable/strict/1761078351 2025-12-04T12:23:16.1164279Z * [new tag] viable/strict/1761079822 -> viable/strict/1761079822 2025-12-04T12:23:16.1166059Z * [new tag] viable/strict/1761081873 -> viable/strict/1761081873 2025-12-04T12:23:16.1167912Z * [new tag] viable/strict/1761083392 -> viable/strict/1761083392 2025-12-04T12:23:16.1169817Z * [new tag] viable/strict/1761085465 -> viable/strict/1761085465 2025-12-04T12:23:16.1171755Z * [new tag] viable/strict/1761089099 -> viable/strict/1761089099 2025-12-04T12:23:16.1173556Z * [new tag] viable/strict/1761095535 -> viable/strict/1761095535 2025-12-04T12:23:16.1175377Z * [new tag] viable/strict/1761098119 -> viable/strict/1761098119 2025-12-04T12:23:16.1177702Z * [new tag] viable/strict/1761101330 -> viable/strict/1761101330 2025-12-04T12:23:16.1179506Z * [new tag] viable/strict/1761114425 -> viable/strict/1761114425 2025-12-04T12:23:16.1181330Z * [new tag] viable/strict/1761116036 -> viable/strict/1761116036 2025-12-04T12:23:16.1183309Z * [new tag] viable/strict/1761119379 -> viable/strict/1761119379 2025-12-04T12:23:16.1185141Z * [new tag] viable/strict/1761121601 -> viable/strict/1761121601 2025-12-04T12:23:16.1186951Z * [new tag] viable/strict/1761123234 -> viable/strict/1761123234 2025-12-04T12:23:16.1188736Z * [new tag] viable/strict/1761126621 -> viable/strict/1761126621 2025-12-04T12:23:16.1190572Z * [new tag] viable/strict/1761132259 -> viable/strict/1761132259 2025-12-04T12:23:16.1192461Z * [new tag] viable/strict/1761146746 -> viable/strict/1761146746 2025-12-04T12:23:16.1194396Z * [new tag] viable/strict/1761164752 -> viable/strict/1761164752 2025-12-04T12:23:16.1196685Z * [new tag] viable/strict/1761166198 -> viable/strict/1761166198 2025-12-04T12:23:16.1198588Z * [new tag] viable/strict/1761175424 -> viable/strict/1761175424 2025-12-04T12:23:16.1200376Z * [new tag] viable/strict/1761176983 -> viable/strict/1761176983 2025-12-04T12:23:16.1202416Z * [new tag] viable/strict/1761179891 -> viable/strict/1761179891 2025-12-04T12:23:16.1204298Z * [new tag] viable/strict/1761181930 -> viable/strict/1761181930 2025-12-04T12:23:16.1206072Z * [new tag] viable/strict/1761184516 -> viable/strict/1761184516 2025-12-04T12:23:16.1207964Z * [new tag] viable/strict/1761190179 -> viable/strict/1761190179 2025-12-04T12:23:16.1209789Z * [new tag] viable/strict/1761193558 -> viable/strict/1761193558 2025-12-04T12:23:16.1211717Z * [new tag] viable/strict/1761207990 -> viable/strict/1761207990 2025-12-04T12:23:16.1213426Z * [new tag] viable/strict/1761229539 -> viable/strict/1761229539 2025-12-04T12:23:16.1215491Z * [new tag] viable/strict/1761244031 -> viable/strict/1761244031 2025-12-04T12:23:16.1217300Z * [new tag] viable/strict/1761248986 -> viable/strict/1761248986 2025-12-04T12:23:16.1219207Z * [new tag] viable/strict/1761259791 -> viable/strict/1761259791 2025-12-04T12:23:16.1220980Z * [new tag] viable/strict/1761266139 -> viable/strict/1761266139 2025-12-04T12:23:16.1222984Z * [new tag] viable/strict/1761268316 -> viable/strict/1761268316 2025-12-04T12:23:16.1228859Z * [new tag] viable/strict/1761273805 -> viable/strict/1761273805 2025-12-04T12:23:16.1229045Z * [new tag] viable/strict/1761275261 -> viable/strict/1761275261 2025-12-04T12:23:16.1229787Z * [new tag] viable/strict/1761277913 -> viable/strict/1761277913 2025-12-04T12:23:16.1231824Z * [new tag] viable/strict/1761290701 -> viable/strict/1761290701 2025-12-04T12:23:16.1233647Z * [new tag] viable/strict/1761294396 -> viable/strict/1761294396 2025-12-04T12:23:16.1235494Z * [new tag] viable/strict/1761303047 -> viable/strict/1761303047 2025-12-04T12:23:16.1237245Z * [new tag] viable/strict/1761335388 -> viable/strict/1761335388 2025-12-04T12:23:16.1239125Z * [new tag] viable/strict/1761337551 -> viable/strict/1761337551 2025-12-04T12:23:16.1240917Z * [new tag] viable/strict/1761339007 -> viable/strict/1761339007 2025-12-04T12:23:16.1242782Z * [new tag] viable/strict/1761341050 -> viable/strict/1761341050 2025-12-04T12:23:16.1244541Z * [new tag] viable/strict/1761346188 -> viable/strict/1761346188 2025-12-04T12:23:16.1246531Z * [new tag] viable/strict/1761349792 -> viable/strict/1761349792 2025-12-04T12:23:16.1248320Z * [new tag] viable/strict/1761352620 -> viable/strict/1761352620 2025-12-04T12:23:16.1250109Z * [new tag] viable/strict/1761354730 -> viable/strict/1761354730 2025-12-04T12:23:16.1251983Z * [new tag] viable/strict/1761357298 -> viable/strict/1761357298 2025-12-04T12:23:16.1253773Z * [new tag] viable/strict/1761360201 -> viable/strict/1761360201 2025-12-04T12:23:16.1255696Z * [new tag] viable/strict/1761361753 -> viable/strict/1761361753 2025-12-04T12:23:16.1257586Z * [new tag] viable/strict/1761364351 -> viable/strict/1761364351 2025-12-04T12:23:16.1259383Z * [new tag] viable/strict/1761366338 -> viable/strict/1761366338 2025-12-04T12:23:16.1261295Z * [new tag] viable/strict/1761367802 -> viable/strict/1761367802 2025-12-04T12:23:16.1263233Z * [new tag] viable/strict/1761369889 -> viable/strict/1761369889 2025-12-04T12:23:16.1265108Z * [new tag] viable/strict/1761371385 -> viable/strict/1761371385 2025-12-04T12:23:16.1266935Z * [new tag] viable/strict/1761373581 -> viable/strict/1761373581 2025-12-04T12:23:16.1268890Z * [new tag] viable/strict/1761375054 -> viable/strict/1761375054 2025-12-04T12:23:16.1270720Z * [new tag] viable/strict/1761421785 -> viable/strict/1761421785 2025-12-04T12:23:16.1272641Z * [new tag] viable/strict/1761434614 -> viable/strict/1761434614 2025-12-04T12:23:16.1274721Z * [new tag] viable/strict/1761439254 -> viable/strict/1761439254 2025-12-04T12:23:16.1276539Z * [new tag] viable/strict/1761454187 -> viable/strict/1761454187 2025-12-04T12:23:16.1278478Z * [new tag] viable/strict/1761459991 -> viable/strict/1761459991 2025-12-04T12:23:16.1280687Z * [new tag] viable/strict/1761470668 -> viable/strict/1761470668 2025-12-04T12:23:16.1282826Z * [new tag] viable/strict/1761472188 -> viable/strict/1761472188 2025-12-04T12:23:16.1284603Z * [new tag] viable/strict/1761503178 -> viable/strict/1761503178 2025-12-04T12:23:16.1286405Z * [new tag] viable/strict/1761517492 -> viable/strict/1761517492 2025-12-04T12:23:16.1288233Z * [new tag] viable/strict/1761518981 -> viable/strict/1761518981 2025-12-04T12:23:16.1290092Z * [new tag] viable/strict/1761533609 -> viable/strict/1761533609 2025-12-04T12:23:16.1291761Z * [new tag] viable/strict/1761546438 -> viable/strict/1761546438 2025-12-04T12:23:16.1293642Z * [new tag] viable/strict/1761548133 -> viable/strict/1761548133 2025-12-04T12:23:16.1295695Z * [new tag] viable/strict/1761555186 -> viable/strict/1761555186 2025-12-04T12:23:16.1297579Z * [new tag] viable/strict/1761557178 -> viable/strict/1761557178 2025-12-04T12:23:16.1299382Z * [new tag] viable/strict/1761560772 -> viable/strict/1761560772 2025-12-04T12:23:16.1301227Z * [new tag] viable/strict/1761562266 -> viable/strict/1761562266 2025-12-04T12:23:16.1303202Z * [new tag] viable/strict/1761564260 -> viable/strict/1761564260 2025-12-04T12:23:16.1305003Z * [new tag] viable/strict/1761568072 -> viable/strict/1761568072 2025-12-04T12:23:16.1306811Z * [new tag] viable/strict/1761571683 -> viable/strict/1761571683 2025-12-04T12:23:16.1308468Z * [new tag] viable/strict/1761580199 -> viable/strict/1761580199 2025-12-04T12:23:16.1310348Z * [new tag] viable/strict/1761587383 -> viable/strict/1761587383 2025-12-04T12:23:16.1312224Z * [new tag] viable/strict/1761591165 -> viable/strict/1761591165 2025-12-04T12:23:16.1314056Z * [new tag] viable/strict/1761594575 -> viable/strict/1761594575 2025-12-04T12:23:16.1315991Z * [new tag] viable/strict/1761596710 -> viable/strict/1761596710 2025-12-04T12:23:16.1318630Z * [new tag] viable/strict/1761598189 -> viable/strict/1761598189 2025-12-04T12:23:16.1320473Z * [new tag] viable/strict/1761600254 -> viable/strict/1761600254 2025-12-04T12:23:16.1322347Z * [new tag] viable/strict/1761603879 -> viable/strict/1761603879 2025-12-04T12:23:16.1324177Z * [new tag] viable/strict/1761605429 -> viable/strict/1761605429 2025-12-04T12:23:16.1326194Z * [new tag] viable/strict/1761607468 -> viable/strict/1761607468 2025-12-04T12:23:16.1328147Z * [new tag] viable/strict/1761608983 -> viable/strict/1761608983 2025-12-04T12:23:16.1329970Z * [new tag] viable/strict/1761611846 -> viable/strict/1761611846 2025-12-04T12:23:16.1331879Z * [new tag] viable/strict/1761613922 -> viable/strict/1761613922 2025-12-04T12:23:16.1333458Z * [new tag] viable/strict/1761616504 -> viable/strict/1761616504 2025-12-04T12:23:16.1335125Z * [new tag] viable/strict/1761619599 -> viable/strict/1761619599 2025-12-04T12:23:16.1336917Z * [new tag] viable/strict/1761686693 -> viable/strict/1761686693 2025-12-04T12:23:16.1338824Z * [new tag] viable/strict/1761688179 -> viable/strict/1761688179 2025-12-04T12:23:16.1340559Z * [new tag] viable/strict/1761691973 -> viable/strict/1761691973 2025-12-04T12:23:16.1342577Z * [new tag] viable/strict/1761693884 -> viable/strict/1761693884 2025-12-04T12:23:16.1344413Z * [new tag] viable/strict/1761695389 -> viable/strict/1761695389 2025-12-04T12:23:16.1346273Z * [new tag] viable/strict/1761698408 -> viable/strict/1761698408 2025-12-04T12:23:16.1348199Z * [new tag] viable/strict/1761702931 -> viable/strict/1761702931 2025-12-04T12:23:16.1349909Z * [new tag] viable/strict/1761706307 -> viable/strict/1761706307 2025-12-04T12:23:16.1351847Z * [new tag] viable/strict/1761709065 -> viable/strict/1761709065 2025-12-04T12:23:16.1353792Z * [new tag] viable/strict/1761710285 -> viable/strict/1761710285 2025-12-04T12:23:16.1355658Z * [new tag] viable/strict/1761711983 -> viable/strict/1761711983 2025-12-04T12:23:16.1357555Z * [new tag] viable/strict/1761713514 -> viable/strict/1761713514 2025-12-04T12:23:16.1359548Z * [new tag] viable/strict/1761715523 -> viable/strict/1761715523 2025-12-04T12:23:16.1361466Z * [new tag] viable/strict/1761727973 -> viable/strict/1761727973 2025-12-04T12:23:16.1363334Z * [new tag] viable/strict/1761751558 -> viable/strict/1761751558 2025-12-04T12:23:16.1365229Z * [new tag] viable/strict/1761755187 -> viable/strict/1761755187 2025-12-04T12:23:16.1367136Z * [new tag] viable/strict/1761756826 -> viable/strict/1761756826 2025-12-04T12:23:16.1369127Z * [new tag] viable/strict/1761769551 -> viable/strict/1761769551 2025-12-04T12:23:16.1371043Z * [new tag] viable/strict/1761771032 -> viable/strict/1761771032 2025-12-04T12:23:16.1372772Z * [new tag] viable/strict/1761773101 -> viable/strict/1761773101 2025-12-04T12:23:16.1374676Z * [new tag] viable/strict/1761781792 -> viable/strict/1761781792 2025-12-04T12:23:16.1376722Z * [new tag] viable/strict/1761784788 -> viable/strict/1761784788 2025-12-04T12:23:16.1378601Z * [new tag] viable/strict/1761786740 -> viable/strict/1761786740 2025-12-04T12:23:16.1380468Z * [new tag] viable/strict/1761789332 -> viable/strict/1761789332 2025-12-04T12:23:16.1382968Z * [new tag] viable/strict/1761792569 -> viable/strict/1761792569 2025-12-04T12:23:16.1384858Z * [new tag] viable/strict/1761795289 -> viable/strict/1761795289 2025-12-04T12:23:16.1386792Z * [new tag] viable/strict/1761798345 -> viable/strict/1761798345 2025-12-04T12:23:16.1388665Z * [new tag] viable/strict/1761799827 -> viable/strict/1761799827 2025-12-04T12:23:16.1390638Z * [new tag] viable/strict/1761805604 -> viable/strict/1761805604 2025-12-04T12:23:16.1392536Z * [new tag] viable/strict/1761807202 -> viable/strict/1761807202 2025-12-04T12:23:16.1394457Z * [new tag] viable/strict/1761809094 -> viable/strict/1761809094 2025-12-04T12:23:16.1396356Z * [new tag] viable/strict/1761810576 -> viable/strict/1761810576 2025-12-04T12:23:16.1398289Z * [new tag] viable/strict/1761812771 -> viable/strict/1761812771 2025-12-04T12:23:16.1400442Z * [new tag] viable/strict/1761814363 -> viable/strict/1761814363 2025-12-04T12:23:16.1402310Z * [new tag] viable/strict/1761857410 -> viable/strict/1761857410 2025-12-04T12:23:16.1404203Z * [new tag] viable/strict/1761860985 -> viable/strict/1761860985 2025-12-04T12:23:16.1406093Z * [new tag] viable/strict/1761863094 -> viable/strict/1761863094 2025-12-04T12:23:16.1407969Z * [new tag] viable/strict/1761864590 -> viable/strict/1761864590 2025-12-04T12:23:16.1409850Z * [new tag] viable/strict/1761866675 -> viable/strict/1761866675 2025-12-04T12:23:16.1411966Z * [new tag] viable/strict/1761868178 -> viable/strict/1761868178 2025-12-04T12:23:16.1413845Z * [new tag] viable/strict/1761871111 -> viable/strict/1761871111 2025-12-04T12:23:16.1415721Z * [new tag] viable/strict/1761873126 -> viable/strict/1761873126 2025-12-04T12:23:16.1417779Z * [new tag] viable/strict/1761875714 -> viable/strict/1761875714 2025-12-04T12:23:16.1419540Z * [new tag] viable/strict/1761878924 -> viable/strict/1761878924 2025-12-04T12:23:16.1421453Z * [new tag] viable/strict/1761881727 -> viable/strict/1761881727 2025-12-04T12:23:16.1423448Z * [new tag] viable/strict/1761882959 -> viable/strict/1761882959 2025-12-04T12:23:16.1425338Z * [new tag] viable/strict/1761886268 -> viable/strict/1761886268 2025-12-04T12:23:16.1427507Z * [new tag] viable/strict/1761893641 -> viable/strict/1761893641 2025-12-04T12:23:16.1429371Z * [new tag] viable/strict/1761931517 -> viable/strict/1761931517 2025-12-04T12:23:16.1431260Z * [new tag] viable/strict/1761933080 -> viable/strict/1761933080 2025-12-04T12:23:16.1433137Z * [new tag] viable/strict/1761935217 -> viable/strict/1761935217 2025-12-04T12:23:16.1435075Z * [new tag] viable/strict/1761938533 -> viable/strict/1761938533 2025-12-04T12:23:16.1437003Z * [new tag] viable/strict/1761940184 -> viable/strict/1761940184 2025-12-04T12:23:16.1439077Z * [new tag] viable/strict/1761942338 -> viable/strict/1761942338 2025-12-04T12:23:16.1441361Z * [new tag] viable/strict/1761946100 -> viable/strict/1761946100 2025-12-04T12:23:16.1443253Z * [new tag] viable/strict/1761947374 -> viable/strict/1761947374 2025-12-04T12:23:16.1445141Z * [new tag] viable/strict/1761950978 -> viable/strict/1761950978 2025-12-04T12:23:16.1447129Z * [new tag] viable/strict/1761957727 -> viable/strict/1761957727 2025-12-04T12:23:16.1449004Z * [new tag] viable/strict/1761959532 -> viable/strict/1761959532 2025-12-04T12:23:16.1450916Z * [new tag] viable/strict/1761965366 -> viable/strict/1761965366 2025-12-04T12:23:16.1453033Z * [new tag] viable/strict/1761968066 -> viable/strict/1761968066 2025-12-04T12:23:16.1454816Z * [new tag] viable/strict/1761969322 -> viable/strict/1761969322 2025-12-04T12:23:16.1456690Z * [new tag] viable/strict/1761974723 -> viable/strict/1761974723 2025-12-04T12:23:16.1458700Z * [new tag] viable/strict/1761981837 -> viable/strict/1761981837 2025-12-04T12:23:16.1460689Z * [new tag] viable/strict/1761985546 -> viable/strict/1761985546 2025-12-04T12:23:16.1462662Z * [new tag] viable/strict/1761987030 -> viable/strict/1761987030 2025-12-04T12:23:16.1464640Z * [new tag] viable/strict/1762003554 -> viable/strict/1762003554 2025-12-04T12:23:16.1466547Z * [new tag] viable/strict/1762021560 -> viable/strict/1762021560 2025-12-04T12:23:16.1468424Z * [new tag] viable/strict/1762032190 -> viable/strict/1762032190 2025-12-04T12:23:16.1470314Z * [new tag] viable/strict/1762040981 -> viable/strict/1762040981 2025-12-04T12:23:16.1472252Z * [new tag] viable/strict/1762048525 -> viable/strict/1762048525 2025-12-04T12:23:16.1474126Z * [new tag] viable/strict/1762104223 -> viable/strict/1762104223 2025-12-04T12:23:16.1476032Z * [new tag] viable/strict/1762105778 -> viable/strict/1762105778 2025-12-04T12:23:16.1477940Z * [new tag] viable/strict/1762115109 -> viable/strict/1762115109 2025-12-04T12:23:16.1479786Z * [new tag] viable/strict/1762125840 -> viable/strict/1762125840 2025-12-04T12:23:16.1481507Z * [new tag] viable/strict/1762127377 -> viable/strict/1762127377 2025-12-04T12:23:16.1483983Z * [new tag] viable/strict/1762134925 -> viable/strict/1762134925 2025-12-04T12:23:16.1485678Z * [new tag] viable/strict/1762138338 -> viable/strict/1762138338 2025-12-04T12:23:16.1487745Z * [new tag] viable/strict/1762148993 -> viable/strict/1762148993 2025-12-04T12:23:16.1489498Z * [new tag] viable/strict/1762152871 -> viable/strict/1762152871 2025-12-04T12:23:16.1491361Z * [new tag] viable/strict/1762156183 -> viable/strict/1762156183 2025-12-04T12:23:16.1493290Z * [new tag] viable/strict/1762163457 -> viable/strict/1762163457 2025-12-04T12:23:16.1495272Z * [new tag] viable/strict/1762165569 -> viable/strict/1762165569 2025-12-04T12:23:16.1497125Z * [new tag] viable/strict/1762169035 -> viable/strict/1762169035 2025-12-04T12:23:16.1499032Z * [new tag] viable/strict/1762174936 -> viable/strict/1762174936 2025-12-04T12:23:16.1501026Z * [new tag] viable/strict/1762194412 -> viable/strict/1762194412 2025-12-04T12:23:16.1503037Z * [new tag] viable/strict/1762195876 -> viable/strict/1762195876 2025-12-04T12:23:16.1505005Z * [new tag] viable/strict/1762197788 -> viable/strict/1762197788 2025-12-04T12:23:16.1506976Z * [new tag] viable/strict/1762199389 -> viable/strict/1762199389 2025-12-04T12:23:16.1509010Z * [new tag] viable/strict/1762206585 -> viable/strict/1762206585 2025-12-04T12:23:16.1511067Z * [new tag] viable/strict/1762210184 -> viable/strict/1762210184 2025-12-04T12:23:16.1512785Z * [new tag] viable/strict/1762218736 -> viable/strict/1762218736 2025-12-04T12:23:16.1514704Z * [new tag] viable/strict/1762224529 -> viable/strict/1762224529 2025-12-04T12:23:16.1516636Z * [new tag] viable/strict/1762227253 -> viable/strict/1762227253 2025-12-04T12:23:16.1518411Z * [new tag] viable/strict/1762228515 -> viable/strict/1762228515 2025-12-04T12:23:16.1520410Z * [new tag] viable/strict/1762230349 -> viable/strict/1762230349 2025-12-04T12:23:16.1522323Z * [new tag] viable/strict/1762231859 -> viable/strict/1762231859 2025-12-04T12:23:16.1524204Z * [new tag] viable/strict/1762233925 -> viable/strict/1762233925 2025-12-04T12:23:16.1526293Z * [new tag] viable/strict/1762237630 -> viable/strict/1762237630 2025-12-04T12:23:16.1528283Z * [new tag] viable/strict/1762253522 -> viable/strict/1762253522 2025-12-04T12:23:16.1530276Z * [new tag] viable/strict/1762278588 -> viable/strict/1762278588 2025-12-04T12:23:16.1532162Z * [new tag] viable/strict/1762284203 -> viable/strict/1762284203 2025-12-04T12:23:16.1534080Z * [new tag] viable/strict/1762289446 -> viable/strict/1762289446 2025-12-04T12:23:16.1535993Z * [new tag] viable/strict/1762291515 -> viable/strict/1762291515 2025-12-04T12:23:16.1537876Z * [new tag] viable/strict/1762295100 -> viable/strict/1762295100 2025-12-04T12:23:16.1539619Z * [new tag] viable/strict/1762296590 -> viable/strict/1762296590 2025-12-04T12:23:16.1541423Z * [new tag] viable/strict/1762300179 -> viable/strict/1762300179 2025-12-04T12:23:16.1543291Z * [new tag] viable/strict/1762303207 -> viable/strict/1762303207 2025-12-04T12:23:16.1545200Z * [new tag] viable/strict/1762386584 -> viable/strict/1762386584 2025-12-04T12:23:16.1547086Z * [new tag] viable/strict/1762391537 -> viable/strict/1762391537 2025-12-04T12:23:16.1548780Z * [new tag] viable/strict/1762394119 -> viable/strict/1762394119 2025-12-04T12:23:16.1551089Z * [new tag] viable/strict/1762397437 -> viable/strict/1762397437 2025-12-04T12:23:16.1552942Z * [new tag] viable/strict/1762400256 -> viable/strict/1762400256 2025-12-04T12:23:16.1554856Z * [new tag] viable/strict/1762401469 -> viable/strict/1762401469 2025-12-04T12:23:16.1556891Z * [new tag] viable/strict/1762408195 -> viable/strict/1762408195 2025-12-04T12:23:16.1558754Z * [new tag] viable/strict/1762410411 -> viable/strict/1762410411 2025-12-04T12:23:16.1560639Z * [new tag] viable/strict/1762417613 -> viable/strict/1762417613 2025-12-04T12:23:16.1562630Z * [new tag] viable/strict/1762419198 -> viable/strict/1762419198 2025-12-04T12:23:16.1565008Z * [new tag] viable/strict/1762422656 -> viable/strict/1762422656 2025-12-04T12:23:16.1567343Z * [new tag] viable/strict/1762424746 -> viable/strict/1762424746 2025-12-04T12:23:16.1569235Z * [new tag] viable/strict/1762446386 -> viable/strict/1762446386 2025-12-04T12:23:16.1571149Z * [new tag] viable/strict/1762449912 -> viable/strict/1762449912 2025-12-04T12:23:16.1573070Z * [new tag] viable/strict/1762457031 -> viable/strict/1762457031 2025-12-04T12:23:16.1574983Z * [new tag] viable/strict/1762462441 -> viable/strict/1762462441 2025-12-04T12:23:16.1576891Z * [new tag] viable/strict/1762467909 -> viable/strict/1762467909 2025-12-04T12:23:16.1578840Z * [new tag] viable/strict/1762471493 -> viable/strict/1762471493 2025-12-04T12:23:16.1580769Z * [new tag] viable/strict/1762475990 -> viable/strict/1762475990 2025-12-04T12:23:16.1582896Z * [new tag] viable/strict/1762477933 -> viable/strict/1762477933 2025-12-04T12:23:16.1584809Z * [new tag] viable/strict/1762491053 -> viable/strict/1762491053 2025-12-04T12:23:16.1586761Z * [new tag] viable/strict/1762493118 -> viable/strict/1762493118 2025-12-04T12:23:16.1588634Z * [new tag] viable/strict/1762498442 -> viable/strict/1762498442 2025-12-04T12:23:16.1590530Z * [new tag] viable/strict/1762501778 -> viable/strict/1762501778 2025-12-04T12:23:16.1592490Z * [new tag] viable/strict/1762504001 -> viable/strict/1762504001 2025-12-04T12:23:16.1594422Z * [new tag] viable/strict/1762505583 -> viable/strict/1762505583 2025-12-04T12:23:16.1596438Z * [new tag] viable/strict/1762507523 -> viable/strict/1762507523 2025-12-04T12:23:16.1598355Z * [new tag] viable/strict/1762511140 -> viable/strict/1762511140 2025-12-04T12:23:16.1600383Z * [new tag] viable/strict/1762512632 -> viable/strict/1762512632 2025-12-04T12:23:16.1602350Z * [new tag] viable/strict/1762520467 -> viable/strict/1762520467 2025-12-04T12:23:16.1604287Z * [new tag] viable/strict/1762522016 -> viable/strict/1762522016 2025-12-04T12:23:16.1606157Z * [new tag] viable/strict/1762530591 -> viable/strict/1762530591 2025-12-04T12:23:16.1608045Z * [new tag] viable/strict/1762543405 -> viable/strict/1762543405 2025-12-04T12:23:16.1609772Z * [new tag] viable/strict/1762544998 -> viable/strict/1762544998 2025-12-04T12:23:16.1611664Z * [new tag] viable/strict/1762552182 -> viable/strict/1762552182 2025-12-04T12:23:16.1613546Z * [new tag] viable/strict/1762554297 -> viable/strict/1762554297 2025-12-04T12:23:16.1615288Z * [new tag] viable/strict/1762559381 -> viable/strict/1762559381 2025-12-04T12:23:16.1617246Z * [new tag] viable/strict/1762562222 -> viable/strict/1762562222 2025-12-04T12:23:16.1619149Z * [new tag] viable/strict/1762564319 -> viable/strict/1762564319 2025-12-04T12:23:16.1620876Z * [new tag] viable/strict/1762566904 -> viable/strict/1762566904 2025-12-04T12:23:16.1622882Z * [new tag] viable/strict/1762569781 -> viable/strict/1762569781 2025-12-04T12:23:16.1624890Z * [new tag] viable/strict/1762575940 -> viable/strict/1762575940 2025-12-04T12:23:16.1629225Z * [new tag] viable/strict/1762580974 -> viable/strict/1762580974 2025-12-04T12:23:16.1631049Z * [new tag] viable/strict/1762583185 -> viable/strict/1762583185 2025-12-04T12:23:16.1633629Z * [new tag] viable/strict/1762586647 -> viable/strict/1762586647 2025-12-04T12:23:16.1635513Z * [new tag] viable/strict/1762588183 -> viable/strict/1762588183 2025-12-04T12:23:16.1636411Z * [new tag] viable/strict/1762593886 -> viable/strict/1762593886 2025-12-04T12:23:16.1638420Z * [new tag] viable/strict/1762650743 -> viable/strict/1762650743 2025-12-04T12:23:16.1640374Z * [new tag] viable/strict/1762653328 -> viable/strict/1762653328 2025-12-04T12:23:16.1642251Z * [new tag] viable/strict/1762659342 -> viable/strict/1762659342 2025-12-04T12:23:16.1644211Z * [new tag] viable/strict/1762662360 -> viable/strict/1762662360 2025-12-04T12:23:16.1646122Z * [new tag] viable/strict/1762667377 -> viable/strict/1762667377 2025-12-04T12:23:16.1647989Z * [new tag] viable/strict/1762671090 -> viable/strict/1762671090 2025-12-04T12:23:16.1649885Z * [new tag] viable/strict/1762680284 -> viable/strict/1762680284 2025-12-04T12:23:16.1651798Z * [new tag] viable/strict/1762683900 -> viable/strict/1762683900 2025-12-04T12:23:16.1653703Z * [new tag] viable/strict/1762705541 -> viable/strict/1762705541 2025-12-04T12:23:16.1655561Z * [new tag] viable/strict/1762709004 -> viable/strict/1762709004 2025-12-04T12:23:16.1657486Z * [new tag] viable/strict/1762746004 -> viable/strict/1762746004 2025-12-04T12:23:16.1659492Z * [new tag] viable/strict/1762748799 -> viable/strict/1762748799 2025-12-04T12:23:16.1661409Z * [new tag] viable/strict/1762759504 -> viable/strict/1762759504 2025-12-04T12:23:16.1663563Z * [new tag] viable/strict/1762760973 -> viable/strict/1762760973 2025-12-04T12:23:16.1665427Z * [new tag] viable/strict/1762775374 -> viable/strict/1762775374 2025-12-04T12:23:16.1667329Z * [new tag] viable/strict/1762777661 -> viable/strict/1762777661 2025-12-04T12:23:16.1669255Z * [new tag] viable/strict/1762779774 -> viable/strict/1762779774 2025-12-04T12:23:16.1671282Z * [new tag] viable/strict/1762781259 -> viable/strict/1762781259 2025-12-04T12:23:16.1673230Z * [new tag] viable/strict/1762793628 -> viable/strict/1762793628 2025-12-04T12:23:16.1675203Z * [new tag] viable/strict/1762800711 -> viable/strict/1762800711 2025-12-04T12:23:16.1677064Z * [new tag] viable/strict/1762809894 -> viable/strict/1762809894 2025-12-04T12:23:16.1678953Z * [new tag] viable/strict/1762811384 -> viable/strict/1762811384 2025-12-04T12:23:16.1680963Z * [new tag] viable/strict/1762813841 -> viable/strict/1762813841 2025-12-04T12:23:16.1682838Z * [new tag] viable/strict/1762815047 -> viable/strict/1762815047 2025-12-04T12:23:16.1684889Z * [new tag] viable/strict/1762817094 -> viable/strict/1762817094 2025-12-04T12:23:16.1686761Z * [new tag] viable/strict/1762818582 -> viable/strict/1762818582 2025-12-04T12:23:16.1688797Z * [new tag] viable/strict/1762821623 -> viable/strict/1762821623 2025-12-04T12:23:16.1691096Z * [new tag] viable/strict/1762823531 -> viable/strict/1762823531 2025-12-04T12:23:16.1693085Z * [new tag] viable/strict/1762849583 -> viable/strict/1762849583 2025-12-04T12:23:16.1695041Z * [new tag] viable/strict/1762851200 -> viable/strict/1762851200 2025-12-04T12:23:16.1696955Z * [new tag] viable/strict/1762854603 -> viable/strict/1762854603 2025-12-04T12:23:16.1699041Z * [new tag] viable/strict/1762858276 -> viable/strict/1762858276 2025-12-04T12:23:16.1700843Z * [new tag] viable/strict/1762860891 -> viable/strict/1762860891 2025-12-04T12:23:16.1703453Z * [new tag] viable/strict/1762866174 -> viable/strict/1762866174 2025-12-04T12:23:16.1705291Z * [new tag] viable/strict/1762867653 -> viable/strict/1762867653 2025-12-04T12:23:16.1707175Z * [new tag] viable/strict/1762872669 -> viable/strict/1762872669 2025-12-04T12:23:16.1708891Z * [new tag] viable/strict/1762878380 -> viable/strict/1762878380 2025-12-04T12:23:16.1710817Z * [new tag] viable/strict/1762889003 -> viable/strict/1762889003 2025-12-04T12:23:16.1712787Z * [new tag] viable/strict/1762890589 -> viable/strict/1762890589 2025-12-04T12:23:16.1714700Z * [new tag] viable/strict/1762892743 -> viable/strict/1762892743 2025-12-04T12:23:16.1716596Z * [new tag] viable/strict/1762894271 -> viable/strict/1762894271 2025-12-04T12:23:16.1718381Z * [new tag] viable/strict/1762896287 -> viable/strict/1762896287 2025-12-04T12:23:16.1720279Z * [new tag] viable/strict/1762915871 -> viable/strict/1762915871 2025-12-04T12:23:16.1722219Z * [new tag] viable/strict/1762918569 -> viable/strict/1762918569 2025-12-04T12:23:16.1723955Z * [new tag] viable/strict/1762919776 -> viable/strict/1762919776 2025-12-04T12:23:16.1726320Z * [new tag] viable/strict/1762923072 -> viable/strict/1762923072 2025-12-04T12:23:16.1728135Z * [new tag] viable/strict/1762928826 -> viable/strict/1762928826 2025-12-04T12:23:16.1730087Z * [new tag] viable/strict/1762930451 -> viable/strict/1762930451 2025-12-04T12:23:16.1731989Z * [new tag] viable/strict/1762933780 -> viable/strict/1762933780 2025-12-04T12:23:16.1733936Z * [new tag] viable/strict/1762937638 -> viable/strict/1762937638 2025-12-04T12:23:16.1736042Z * [new tag] viable/strict/1762939545 -> viable/strict/1762939545 2025-12-04T12:23:16.1737936Z * [new tag] viable/strict/1762962692 -> viable/strict/1762962692 2025-12-04T12:23:16.1739870Z * [new tag] viable/strict/1762979143 -> viable/strict/1762979143 2025-12-04T12:23:16.1741667Z * [new tag] viable/strict/1762984188 -> viable/strict/1762984188 2025-12-04T12:23:16.1743688Z * [new tag] viable/strict/1762986306 -> viable/strict/1762986306 2025-12-04T12:23:16.1745584Z * [new tag] viable/strict/1762989903 -> viable/strict/1762989903 2025-12-04T12:23:16.1747579Z * [new tag] viable/strict/1762991377 -> viable/strict/1762991377 2025-12-04T12:23:16.1749521Z * [new tag] viable/strict/1762998921 -> viable/strict/1762998921 2025-12-04T12:23:16.1751700Z * [new tag] viable/strict/1763002287 -> viable/strict/1763002287 2025-12-04T12:23:16.1753646Z * [new tag] viable/strict/1763016840 -> viable/strict/1763016840 2025-12-04T12:23:16.1755573Z * [new tag] viable/strict/1763020180 -> viable/strict/1763020180 2025-12-04T12:23:16.1757494Z * [new tag] viable/strict/1763027421 -> viable/strict/1763027421 2025-12-04T12:23:16.1759485Z * [new tag] viable/strict/1763031120 -> viable/strict/1763031120 2025-12-04T12:23:16.1761433Z * [new tag] viable/strict/1763036861 -> viable/strict/1763036861 2025-12-04T12:23:16.1763350Z * [new tag] viable/strict/1763038993 -> viable/strict/1763038993 2025-12-04T12:23:16.1765323Z * [new tag] viable/strict/1763054703 -> viable/strict/1763054703 2025-12-04T12:23:16.1767074Z * [new tag] viable/strict/1763067061 -> viable/strict/1763067061 2025-12-04T12:23:16.1769205Z * [new tag] viable/strict/1763070847 -> viable/strict/1763070847 2025-12-04T12:23:16.1770955Z * [new tag] viable/strict/1763072706 -> viable/strict/1763072706 2025-12-04T12:23:16.1772937Z * [new tag] viable/strict/1763076302 -> viable/strict/1763076302 2025-12-04T12:23:16.1774801Z * [new tag] viable/strict/1763080816 -> viable/strict/1763080816 2025-12-04T12:23:16.1776725Z * [new tag] viable/strict/1763082732 -> viable/strict/1763082732 2025-12-04T12:23:16.1778639Z * [new tag] viable/strict/1763085329 -> viable/strict/1763085329 2025-12-04T12:23:16.1780549Z * [new tag] viable/strict/1763088623 -> viable/strict/1763088623 2025-12-04T12:23:16.1782808Z * [new tag] viable/strict/1763091402 -> viable/strict/1763091402 2025-12-04T12:23:16.1784687Z * [new tag] viable/strict/1763092602 -> viable/strict/1763092602 2025-12-04T12:23:16.1786580Z * [new tag] viable/strict/1763094355 -> viable/strict/1763094355 2025-12-04T12:23:16.1788503Z * [new tag] viable/strict/1763099390 -> viable/strict/1763099390 2025-12-04T12:23:16.1790578Z * [new tag] viable/strict/1763101608 -> viable/strict/1763101608 2025-12-04T12:23:16.1792493Z * [new tag] viable/strict/1763105102 -> viable/strict/1763105102 2025-12-04T12:23:16.1794410Z * [new tag] viable/strict/1763112347 -> viable/strict/1763112347 2025-12-04T12:23:16.1796362Z * [new tag] viable/strict/1763119471 -> viable/strict/1763119471 2025-12-04T12:23:16.1798126Z * [new tag] viable/strict/1763126835 -> viable/strict/1763126835 2025-12-04T12:23:16.1799947Z * [new tag] viable/strict/1763149779 -> viable/strict/1763149779 2025-12-04T12:23:16.1801841Z * [new tag] viable/strict/1763164178 -> viable/strict/1763164178 2025-12-04T12:23:16.1803791Z * [new tag] viable/strict/1763167104 -> viable/strict/1763167104 2025-12-04T12:23:16.1805676Z * [new tag] viable/strict/1763169132 -> viable/strict/1763169132 2025-12-04T12:23:16.1807611Z * [new tag] viable/strict/1763171708 -> viable/strict/1763171708 2025-12-04T12:23:16.1809497Z * [new tag] viable/strict/1763174759 -> viable/strict/1763174759 2025-12-04T12:23:16.1811478Z * [new tag] viable/strict/1763180744 -> viable/strict/1763180744 2025-12-04T12:23:16.1813557Z * [new tag] viable/strict/1763182227 -> viable/strict/1763182227 2025-12-04T12:23:16.1815905Z * [new tag] viable/strict/1763184309 -> viable/strict/1763184309 2025-12-04T12:23:16.1818305Z * [new tag] viable/strict/1763187991 -> viable/strict/1763187991 2025-12-04T12:23:16.1820265Z * [new tag] viable/strict/1763191445 -> viable/strict/1763191445 2025-12-04T12:23:16.1822387Z * [new tag] viable/strict/1763195152 -> viable/strict/1763195152 2025-12-04T12:23:16.1824281Z * [new tag] viable/strict/1763205769 -> viable/strict/1763205769 2025-12-04T12:23:16.1826306Z * [new tag] viable/strict/1763246990 -> viable/strict/1763246990 2025-12-04T12:23:16.1828559Z * [new tag] viable/strict/1763261578 -> viable/strict/1763261578 2025-12-04T12:23:16.1830337Z * [new tag] viable/strict/1763286573 -> viable/strict/1763286573 2025-12-04T12:23:16.1832065Z * [new tag] viable/strict/1763292167 -> viable/strict/1763292167 2025-12-04T12:23:16.1834017Z * [new tag] viable/strict/1763333386 -> viable/strict/1763333386 2025-12-04T12:23:16.1835894Z * [new tag] viable/strict/1763340082 -> viable/strict/1763340082 2025-12-04T12:23:16.1838501Z * [new tag] viable/strict/1763364324 -> viable/strict/1763364324 2025-12-04T12:23:16.1840576Z * [new tag] viable/strict/1763371569 -> viable/strict/1763371569 2025-12-04T12:23:16.1842363Z * [new tag] viable/strict/1763373067 -> viable/strict/1763373067 2025-12-04T12:23:16.1844214Z * [new tag] viable/strict/1763375157 -> viable/strict/1763375157 2025-12-04T12:23:16.1846170Z * [new tag] viable/strict/1763382462 -> viable/strict/1763382462 2025-12-04T12:23:16.1848145Z * [new tag] viable/strict/1763394661 -> viable/strict/1763394661 2025-12-04T12:23:16.1850222Z * [new tag] viable/strict/1763396797 -> viable/strict/1763396797 2025-12-04T12:23:16.1852168Z * [new tag] viable/strict/1763398542 -> viable/strict/1763398542 2025-12-04T12:23:16.1854082Z * [new tag] viable/strict/1763401807 -> viable/strict/1763401807 2025-12-04T12:23:16.1855813Z * [new tag] viable/strict/1763414698 -> viable/strict/1763414698 2025-12-04T12:23:16.1857757Z * [new tag] viable/strict/1763419807 -> viable/strict/1763419807 2025-12-04T12:23:16.1859644Z * [new tag] viable/strict/1763426369 -> viable/strict/1763426369 2025-12-04T12:23:16.1861604Z * [new tag] viable/strict/1763428331 -> viable/strict/1763428331 2025-12-04T12:23:16.1863756Z * [new tag] viable/strict/1763430922 -> viable/strict/1763430922 2025-12-04T12:23:16.1865456Z * [new tag] viable/strict/1763434184 -> viable/strict/1763434184 2025-12-04T12:23:16.1867368Z * [new tag] viable/strict/1763439973 -> viable/strict/1763439973 2025-12-04T12:23:16.1869310Z * [new tag] viable/strict/1763444995 -> viable/strict/1763444995 2025-12-04T12:23:16.1871240Z * [new tag] viable/strict/1763447206 -> viable/strict/1763447206 2025-12-04T12:23:16.1873218Z * [new tag] viable/strict/1763448826 -> viable/strict/1763448826 2025-12-04T12:23:16.1875166Z * [new tag] viable/strict/1763450717 -> viable/strict/1763450717 2025-12-04T12:23:16.1877131Z * [new tag] viable/strict/1763452183 -> viable/strict/1763452183 2025-12-04T12:23:16.1879146Z * [new tag] viable/strict/1763457945 -> viable/strict/1763457945 2025-12-04T12:23:16.1881041Z * [new tag] viable/strict/1763459439 -> viable/strict/1763459439 2025-12-04T12:23:16.1882774Z * [new tag] viable/strict/1763461556 -> viable/strict/1763461556 2025-12-04T12:23:16.1884721Z * [new tag] viable/strict/1763463103 -> viable/strict/1763463103 2025-12-04T12:23:16.1886731Z * [new tag] viable/strict/1763465100 -> viable/strict/1763465100 2025-12-04T12:23:16.1888466Z * [new tag] viable/strict/1763468866 -> viable/strict/1763468866 2025-12-04T12:23:16.1890253Z * [new tag] viable/strict/1763493823 -> viable/strict/1763493823 2025-12-04T12:23:16.1892029Z * [new tag] viable/strict/1763496249 -> viable/strict/1763496249 2025-12-04T12:23:16.1893917Z * [new tag] viable/strict/1763502620 -> viable/strict/1763502620 2025-12-04T12:23:16.1895869Z * [new tag] viable/strict/1763504715 -> viable/strict/1763504715 2025-12-04T12:23:16.1897851Z * [new tag] viable/strict/1763506208 -> viable/strict/1763506208 2025-12-04T12:23:16.1899794Z * [new tag] viable/strict/1763520590 -> viable/strict/1763520590 2025-12-04T12:23:16.1901713Z * [new tag] viable/strict/1763523357 -> viable/strict/1763523357 2025-12-04T12:23:16.1903747Z * [new tag] viable/strict/1763529922 -> viable/strict/1763529922 2025-12-04T12:23:16.1905715Z * [new tag] viable/strict/1763531408 -> viable/strict/1763531408 2025-12-04T12:23:16.1907612Z * [new tag] viable/strict/1763533622 -> viable/strict/1763533622 2025-12-04T12:23:16.1909607Z * [new tag] viable/strict/1763538576 -> viable/strict/1763538576 2025-12-04T12:23:16.1911462Z * [new tag] viable/strict/1763545823 -> viable/strict/1763545823 2025-12-04T12:23:16.1913211Z * [new tag] viable/strict/1763547951 -> viable/strict/1763547951 2025-12-04T12:23:16.1915257Z * [new tag] viable/strict/1763551477 -> viable/strict/1763551477 2025-12-04T12:23:16.1917121Z * [new tag] viable/strict/1763552982 -> viable/strict/1763552982 2025-12-04T12:23:16.1919026Z * [new tag] viable/strict/1763594698 -> viable/strict/1763594698 2025-12-04T12:23:16.1920917Z * [new tag] viable/strict/1763596178 -> viable/strict/1763596178 2025-12-04T12:23:16.1922877Z * [new tag] viable/strict/1763599155 -> viable/strict/1763599155 2025-12-04T12:23:16.1924763Z * [new tag] viable/strict/1763603717 -> viable/strict/1763603717 2025-12-04T12:23:16.1927067Z * [new tag] viable/strict/1763606923 -> viable/strict/1763606923 2025-12-04T12:23:16.1928890Z * [new tag] viable/strict/1763609715 -> viable/strict/1763609715 2025-12-04T12:23:16.1930797Z * [new tag] viable/strict/1763612757 -> viable/strict/1763612757 2025-12-04T12:23:16.1932696Z * [new tag] viable/strict/1763616325 -> viable/strict/1763616325 2025-12-04T12:23:16.1934569Z * [new tag] viable/strict/1763623509 -> viable/strict/1763623509 2025-12-04T12:23:16.1936592Z * [new tag] viable/strict/1763624984 -> viable/strict/1763624984 2025-12-04T12:23:16.1938611Z * [new tag] viable/strict/1763628796 -> viable/strict/1763628796 2025-12-04T12:23:16.1940933Z * [new tag] viable/strict/1763634343 -> viable/strict/1763634343 2025-12-04T12:23:16.1942937Z * [new tag] viable/strict/1763635867 -> viable/strict/1763635867 2025-12-04T12:23:16.1945049Z * [new tag] viable/strict/1763639382 -> viable/strict/1763639382 2025-12-04T12:23:16.1946941Z * [new tag] viable/strict/1763646626 -> viable/strict/1763646626 2025-12-04T12:23:16.1949014Z * [new tag] viable/strict/1763655997 -> viable/strict/1763655997 2025-12-04T12:23:16.1950893Z * [new tag] viable/strict/1763659444 -> viable/strict/1763659444 2025-12-04T12:23:16.1952795Z * [new tag] viable/strict/1763660992 -> viable/strict/1763660992 2025-12-04T12:23:16.1954639Z * [new tag] viable/strict/1763663201 -> viable/strict/1763663201 2025-12-04T12:23:16.1956627Z * [new tag] viable/strict/1763670362 -> viable/strict/1763670362 2025-12-04T12:23:16.1958319Z * [new tag] viable/strict/1763675378 -> viable/strict/1763675378 2025-12-04T12:23:16.1960214Z * [new tag] viable/strict/1763693343 -> viable/strict/1763693343 2025-12-04T12:23:16.1962205Z * [new tag] viable/strict/1763696088 -> viable/strict/1763696088 2025-12-04T12:23:16.1964225Z * [new tag] viable/strict/1763697343 -> viable/strict/1763697343 2025-12-04T12:23:16.1966115Z * [new tag] viable/strict/1763699165 -> viable/strict/1763699165 2025-12-04T12:23:16.1968062Z * [new tag] viable/strict/1763700660 -> viable/strict/1763700660 2025-12-04T12:23:16.1969908Z * [new tag] viable/strict/1763704209 -> viable/strict/1763704209 2025-12-04T12:23:16.1971836Z * [new tag] viable/strict/1763706411 -> viable/strict/1763706411 2025-12-04T12:23:16.1973686Z * [new tag] viable/strict/1763708082 -> viable/strict/1763708082 2025-12-04T12:23:16.1975509Z * [new tag] viable/strict/1763711381 -> viable/strict/1763711381 2025-12-04T12:23:16.1977260Z * [new tag] viable/strict/1763713593 -> viable/strict/1763713593 2025-12-04T12:23:16.1979350Z * [new tag] viable/strict/1763715201 -> viable/strict/1763715201 2025-12-04T12:23:16.1981068Z * [new tag] viable/strict/1763733017 -> viable/strict/1763733017 2025-12-04T12:23:16.1983100Z * [new tag] viable/strict/1763735108 -> viable/strict/1763735108 2025-12-04T12:23:16.1985086Z * [new tag] viable/strict/1763749579 -> viable/strict/1763749579 2025-12-04T12:23:16.1986928Z * [new tag] viable/strict/1763751113 -> viable/strict/1763751113 2025-12-04T12:23:16.1989024Z * [new tag] viable/strict/1763753035 -> viable/strict/1763753035 2025-12-04T12:23:16.1990933Z * [new tag] viable/strict/1763754578 -> viable/strict/1763754578 2025-12-04T12:23:16.1992838Z * [new tag] viable/strict/1763756748 -> viable/strict/1763756748 2025-12-04T12:23:16.1994711Z * [new tag] viable/strict/1763758205 -> viable/strict/1763758205 2025-12-04T12:23:16.1996431Z * [new tag] viable/strict/1763764050 -> viable/strict/1763764050 2025-12-04T12:23:16.1998269Z * [new tag] viable/strict/1763771887 -> viable/strict/1763771887 2025-12-04T12:23:16.2000460Z * [new tag] viable/strict/1763773920 -> viable/strict/1763773920 2025-12-04T12:23:16.2002329Z * [new tag] viable/strict/1763776501 -> viable/strict/1763776501 2025-12-04T12:23:16.2004189Z * [new tag] viable/strict/1763779437 -> viable/strict/1763779437 2025-12-04T12:23:16.2006315Z * [new tag] viable/strict/1763781038 -> viable/strict/1763781038 2025-12-04T12:23:16.2008067Z * [new tag] viable/strict/1763782245 -> viable/strict/1763782245 2025-12-04T12:23:16.2010058Z * [new tag] viable/strict/1763785568 -> viable/strict/1763785568 2025-12-04T12:23:16.2011912Z * [new tag] viable/strict/1763787006 -> viable/strict/1763787006 2025-12-04T12:23:16.2013902Z * [new tag] viable/strict/1763789103 -> viable/strict/1763789103 2025-12-04T12:23:16.2015750Z * [new tag] viable/strict/1763790578 -> viable/strict/1763790578 2025-12-04T12:23:16.2017625Z * [new tag] viable/strict/1763796275 -> viable/strict/1763796275 2025-12-04T12:23:16.2019779Z * [new tag] viable/strict/1763801465 -> viable/strict/1763801465 2025-12-04T12:23:16.2021792Z * [new tag] viable/strict/1763803522 -> viable/strict/1763803522 2025-12-04T12:23:16.2023735Z * [new tag] viable/strict/1763808581 -> viable/strict/1763808581 2025-12-04T12:23:16.2025773Z * [new tag] viable/strict/1763840977 -> viable/strict/1763840977 2025-12-04T12:23:16.2029868Z * [new tag] viable/strict/1763846659 -> viable/strict/1763846659 2025-12-04T12:23:16.2031771Z * [new tag] viable/strict/1763872065 -> viable/strict/1763872065 2025-12-04T12:23:16.2033746Z * [new tag] viable/strict/1763873648 -> viable/strict/1763873648 2025-12-04T12:23:16.2035711Z * [new tag] viable/strict/1763875506 -> viable/strict/1763875506 2025-12-04T12:23:16.2037425Z * [new tag] viable/strict/1763889904 -> viable/strict/1763889904 2025-12-04T12:23:16.2039321Z * [new tag] viable/strict/1763930999 -> viable/strict/1763930999 2025-12-04T12:23:16.2041199Z * [new tag] viable/strict/1763944964 -> viable/strict/1763944964 2025-12-04T12:23:16.2042949Z * [new tag] viable/strict/1763958474 -> viable/strict/1763958474 2025-12-04T12:23:16.2044835Z * [new tag] viable/strict/1763967263 -> viable/strict/1763967263 2025-12-04T12:23:16.2046813Z * [new tag] viable/strict/1763972803 -> viable/strict/1763972803 2025-12-04T12:23:16.2048635Z * [new tag] viable/strict/1763976376 -> viable/strict/1763976376 2025-12-04T12:23:16.2050651Z * [new tag] viable/strict/1763989404 -> viable/strict/1763989404 2025-12-04T12:23:16.2052445Z * [new tag] viable/strict/1763990887 -> viable/strict/1763990887 2025-12-04T12:23:16.2054356Z * [new tag] viable/strict/1764019919 -> viable/strict/1764019919 2025-12-04T12:23:16.2056334Z * [new tag] viable/strict/1764023134 -> viable/strict/1764023134 2025-12-04T12:23:16.2058052Z * [new tag] viable/strict/1764024593 -> viable/strict/1764024593 2025-12-04T12:23:16.2059923Z * [new tag] viable/strict/1764026706 -> viable/strict/1764026706 2025-12-04T12:23:16.2062236Z * [new tag] viable/strict/1764031139 -> viable/strict/1764031139 2025-12-04T12:23:16.2064347Z * [new tag] viable/strict/1764033131 -> viable/strict/1764033131 2025-12-04T12:23:16.2066470Z * [new tag] viable/strict/1764035725 -> viable/strict/1764035725 2025-12-04T12:23:16.2068239Z * [new tag] viable/strict/1764624265 -> viable/strict/1764624265 2025-12-04T12:23:16.2069949Z * [new tag] viable/strict/1764631514 -> viable/strict/1764631514 2025-12-04T12:23:16.2071713Z * [new tag] viable/strict/1764632987 -> viable/strict/1764632987 2025-12-04T12:23:16.2073464Z * [new tag] viable/strict/1764636063 -> viable/strict/1764636063 2025-12-04T12:23:16.2075208Z * [new tag] viable/strict/1764643975 -> viable/strict/1764643975 2025-12-04T12:23:16.2076935Z * [new tag] viable/strict/1764646859 -> viable/strict/1764646859 2025-12-04T12:23:16.2078670Z * [new tag] viable/strict/1764653120 -> viable/strict/1764653120 2025-12-04T12:23:16.2080387Z * [new tag] viable/strict/1764654632 -> viable/strict/1764654632 2025-12-04T12:23:16.2082178Z * [new tag] viable/strict/1764656821 -> viable/strict/1764656821 2025-12-04T12:23:16.2083935Z * [new tag] viable/strict/1764658557 -> viable/strict/1764658557 2025-12-04T12:23:16.2085672Z * [new tag] viable/strict/1764660333 -> viable/strict/1764660333 2025-12-04T12:23:16.2087400Z * [new tag] viable/strict/1764661812 -> viable/strict/1764661812 2025-12-04T12:23:16.2089138Z * [new tag] viable/strict/1764664023 -> viable/strict/1764664023 2025-12-04T12:23:16.2090866Z * [new tag] viable/strict/1764669150 -> viable/strict/1764669150 2025-12-04T12:23:16.2092615Z * [new tag] viable/strict/1764680709 -> viable/strict/1764680709 2025-12-04T12:23:16.2094304Z * [new tag] viable/strict/1764687619 -> viable/strict/1764687619 2025-12-04T12:23:16.2096034Z * [new tag] viable/strict/1764696355 -> viable/strict/1764696355 2025-12-04T12:23:16.2097768Z * [new tag] viable/strict/1764701767 -> viable/strict/1764701767 2025-12-04T12:23:16.2099496Z * [new tag] viable/strict/1764710768 -> viable/strict/1764710768 2025-12-04T12:23:16.2101235Z * [new tag] viable/strict/1764716202 -> viable/strict/1764716202 2025-12-04T12:23:16.2103201Z * [new tag] viable/strict/1764793566 -> viable/strict/1764793566 2025-12-04T12:23:16.2104982Z * [new tag] viable/strict/1764797093 -> viable/strict/1764797093 2025-12-04T12:23:16.2106758Z * [new tag] viable/strict/1764800729 -> viable/strict/1764800729 2025-12-04T12:23:16.2108627Z * [new tag] whc_flight_1 -> whc_flight_1 2025-12-04T12:23:16.2110439Z * [new tag] whc_flight_2 -> whc_flight_2 2025-12-04T12:23:16.2112462Z * [new tag] whc_flight_4 -> whc_flight_4 2025-12-04T12:23:16.3306753Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object} 2025-12-04T12:23:16.3340406Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T12:23:16.3345745Z ##[endgroup] 2025-12-04T12:23:16.3346022Z ##[group]Determining the checkout info 2025-12-04T12:23:16.3347710Z ##[endgroup] 2025-12-04T12:23:16.3352298Z [command]/usr/bin/git sparse-checkout disable 2025-12-04T12:23:16.3396220Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-12-04T12:23:16.3431549Z ##[group]Checking out the ref 2025-12-04T12:23:16.3434671Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T12:23:17.3744698Z Updating files: 65% (13136/20121) 2025-12-04T12:23:17.3828309Z Updating files: 66% (13280/20121) 2025-12-04T12:23:17.3910671Z Updating files: 67% (13482/20121) 2025-12-04T12:23:17.3992849Z Updating files: 68% (13683/20121) 2025-12-04T12:23:17.4206913Z Updating files: 69% (13884/20121) 2025-12-04T12:23:17.4540314Z Updating files: 70% (14085/20121) 2025-12-04T12:23:17.4610374Z Updating files: 71% (14286/20121) 2025-12-04T12:23:17.4702888Z Updating files: 72% (14488/20121) 2025-12-04T12:23:17.4925840Z Updating files: 73% (14689/20121) 2025-12-04T12:23:17.5200650Z Updating files: 74% (14890/20121) 2025-12-04T12:23:17.5758479Z Updating files: 75% (15091/20121) 2025-12-04T12:23:17.5938024Z Updating files: 76% (15292/20121) 2025-12-04T12:23:17.6104546Z Updating files: 77% (15494/20121) 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You can look around, make experimental 2025-12-04T12:23:18.1323923Z changes and commit them, and you can discard any commits you make in this 2025-12-04T12:23:18.1324441Z state without impacting any branches by switching back to a branch. 2025-12-04T12:23:18.1324740Z 2025-12-04T12:23:18.1324933Z If you want to create a new branch to retain commits you create, you may 2025-12-04T12:23:18.1325416Z do so (now or later) by using -c with the switch command. Example: 2025-12-04T12:23:18.1325807Z 2025-12-04T12:23:18.1325920Z git switch -c 2025-12-04T12:23:18.1326125Z 2025-12-04T12:23:18.1326240Z Or undo this operation with: 2025-12-04T12:23:18.1326412Z 2025-12-04T12:23:18.1326513Z git switch - 2025-12-04T12:23:18.1326643Z 2025-12-04T12:23:18.1326882Z Turn off this advice by setting config variable advice.detachedHead to false 2025-12-04T12:23:18.1327200Z 2025-12-04T12:23:18.1329126Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919) 2025-12-04T12:23:18.1512472Z ##[endgroup] 2025-12-04T12:23:18.1513171Z ##[group]Setting up auth for fetching submodules 2025-12-04T12:23:18.1518125Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T12:23:18.1574455Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-12-04T12:23:18.1609754Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-12-04T12:23:18.1644468Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-12-04T12:23:18.1675752Z ##[endgroup] 2025-12-04T12:23:18.1676129Z ##[group]Fetching submodules 2025-12-04T12:23:18.1679275Z [command]/usr/bin/git submodule sync --recursive 2025-12-04T12:23:18.2098779Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-12-04T12:23:18.2502327Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-12-04T12:23:18.2504306Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-12-04T12:23:18.2509167Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-12-04T12:23:18.2514207Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-12-04T12:23:18.2518760Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-12-04T12:23:18.2523938Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-12-04T12:23:18.2529080Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-12-04T12:23:18.2533821Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-12-04T12:23:18.2538829Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-12-04T12:23:18.2544360Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-12-04T12:23:18.2549486Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-12-04T12:23:18.2554646Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-12-04T12:23:18.2560070Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-12-04T12:23:18.2569683Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-12-04T12:23:18.2572433Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-12-04T12:23:18.2579888Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-12-04T12:23:18.2589136Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-12-04T12:23:18.2594603Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-12-04T12:23:18.2600513Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-12-04T12:23:18.2606298Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-12-04T12:23:18.2614002Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-12-04T12:23:18.2618262Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-12-04T12:23:18.2624435Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-12-04T12:23:18.2631143Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-12-04T12:23:18.2637467Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-12-04T12:23:18.2643726Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-12-04T12:23:18.2650071Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-12-04T12:23:18.2656460Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-12-04T12:23:18.2663468Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-12-04T12:23:18.2669976Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-12-04T12:23:18.2676753Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-12-04T12:23:18.2683661Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-12-04T12:23:18.2690652Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-12-04T12:23:18.2700951Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-12-04T12:23:18.2708245Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-12-04T12:23:18.2715259Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-12-04T12:23:18.2722545Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-12-04T12:23:18.2763997Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-12-04T12:23:18.5346145Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-12-04T12:23:18.5347313Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-12-04T12:23:18.5348342Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-12-04T12:23:18.5427674Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-12-04T12:23:21.4335046Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-12-04T12:23:21.4336405Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-12-04T12:23:21.4337567Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-12-04T12:23:21.4338761Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-12-04T12:23:21.4340120Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-12-04T12:23:21.4341367Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-12-04T12:23:21.4342698Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-12-04T12:23:21.4344340Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-12-04T12:23:21.4345634Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-12-04T12:23:21.4347050Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-12-04T12:23:21.4348255Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-12-04T12:23:21.4349500Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-12-04T12:23:21.4350942Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-12-04T12:23:21.4352068Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-12-04T12:23:21.4353280Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-12-04T12:23:21.4418583Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-12-04T12:23:21.9237499Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-12-04T12:23:21.9530520Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-12-04T12:23:41.0536176Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-12-04T12:23:41.0536953Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-12-04T12:23:41.0537686Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-12-04T12:23:41.0538361Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-12-04T12:23:41.0538978Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-12-04T12:23:41.0539605Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-12-04T12:23:41.0540228Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-12-04T12:23:41.0540852Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-12-04T12:23:41.0541483Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-12-04T12:23:41.0542274Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-12-04T12:23:41.0542955Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-12-04T12:23:41.0543649Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-12-04T12:23:41.0544322Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-12-04T12:23:41.1537886Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-12-04T12:23:42.5544731Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-12-04T12:23:42.5718354Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-12-04T12:23:42.5859669Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-12-04T12:23:42.6206808Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-12-04T12:23:42.7274672Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6' 2025-12-04T12:23:42.7880108Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-12-04T12:23:43.7798192Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-12-04T12:23:44.0067900Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-12-04T12:23:44.0096867Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T12:23:44.0131414Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-12-04T12:23:49.4033942Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-12-04T12:23:49.4364250Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-12-04T12:23:49.9177172Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T12:23:49.9797607Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-12-04T12:23:50.1103969Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc' 2025-12-04T12:23:50.1720183Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396' 2025-12-04T12:23:51.0811072Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588' 2025-12-04T12:23:51.2853196Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4' 2025-12-04T12:23:51.2883905Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-12-04T12:23:51.2886678Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-12-04T12:23:51.2890578Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-12-04T12:23:51.2894096Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-12-04T12:23:51.2898366Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-12-04T12:23:51.2902779Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-12-04T12:23:51.2906929Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-12-04T12:23:51.2942726Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-12-04T12:23:52.5477316Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-12-04T12:23:52.5478190Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-12-04T12:23:52.5478983Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-12-04T12:23:52.6478921Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-12-04T12:23:56.2509513Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-12-04T12:23:56.3509840Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-12-04T12:23:59.0492481Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-12-04T12:23:59.5272879Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T12:23:59.6489751Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-12-04T12:24:00.4716904Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8' 2025-12-04T12:24:00.5291749Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T12:24:00.5456217Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-12-04T12:24:00.6808504Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-12-04T12:24:00.7766654Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-12-04T12:24:00.7792813Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T12:24:00.7795902Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-12-04T12:24:00.7832228Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-12-04T12:24:05.8669596Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-12-04T12:24:06.2036253Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-12-04T12:24:06.9272597Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-12-04T12:24:07.1136677Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-12-04T12:24:07.1515628Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f' 2025-12-04T12:24:07.2002204Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-12-04T12:24:07.2359330Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341' 2025-12-04T12:24:07.2919081Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T12:24:07.3104522Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-12-04T12:24:07.3129716Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-12-04T12:24:07.3165960Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-12-04T12:24:25.3283192Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-12-04T12:24:25.3563213Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-12-04T12:24:25.4593220Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943' 2025-12-04T12:24:25.4620233Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T12:24:25.4621886Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T12:24:25.4626301Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T12:24:25.4661691Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-12-04T12:24:26.2049974Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-12-04T12:24:26.8137773Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-12-04T12:24:26.9240618Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1' 2025-12-04T12:24:26.9268259Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T12:24:26.9272098Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T12:24:26.9276407Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T12:24:26.9280351Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T12:24:26.9284491Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T12:24:26.9288981Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T12:24:26.9293312Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T12:24:26.9297787Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T12:24:26.9302659Z 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' 2025-12-04T12:24:26.9338365Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-12-04T12:24:28.8319160Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-12-04T12:24:28.8320467Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-12-04T12:24:28.8321899Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'... 2025-12-04T12:24:28.8322959Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-12-04T12:24:28.8323957Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-12-04T12:24:28.8324979Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-12-04T12:24:28.8326370Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-12-04T12:24:28.9319200Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-12-04T12:24:35.0488544Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-12-04T12:24:35.0746937Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-12-04T12:24:35.1211392Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-12-04T12:24:35.1402785Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-12-04T12:24:35.1426498Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T12:24:35.1460932Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-12-04T12:24:35.4135499Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-12-04T12:24:35.4389683Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-12-04T12:24:35.4957444Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T12:24:35.6222003Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-12-04T12:24:35.6452950Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-12-04T12:24:35.6697865Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a' 2025-12-04T12:24:35.6721560Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T12:24:35.6725418Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T12:24:35.6763087Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-12-04T12:24:37.9847223Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'... 2025-12-04T12:24:38.2781728Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159' 2025-12-04T12:24:38.3362556Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-12-04T12:24:38.3770647Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-12-04T12:24:38.4339520Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T12:24:38.5062589Z Submodule path 'third_party/kleidiai': checked out 'd7770c89632329a9914ef1a90289917597639cbe' 2025-12-04T12:24:38.5602170Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-12-04T12:24:38.6976219Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-12-04T12:24:39.3515053Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-12-04T12:24:39.3560491Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-12-04T12:24:39.3596462Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-12-04T12:24:40.2936415Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-12-04T12:24:40.3927095Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-12-04T12:24:40.3952597Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T12:24:40.3955619Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T12:24:40.3959332Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T12:24:40.3963365Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T12:24:40.3967799Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T12:24:40.3973068Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T12:24:40.3977094Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T12:24:40.3981255Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T12:24:40.4016478Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-12-04T12:24:40.8460396Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-12-04T12:24:40.8461413Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-12-04T12:24:40.8462490Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-12-04T12:24:40.8463399Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-12-04T12:24:40.9461570Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-12-04T12:24:41.5663184Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-12-04T12:24:48.8436098Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-12-04T12:24:49.5832677Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-12-04T12:24:49.6342389Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-12-04T12:24:49.6563216Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-12-04T12:24:49.7914287Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-12-04T12:24:49.8104630Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-12-04T12:24:49.8315334Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-12-04T12:24:49.8555347Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-12-04T12:24:49.8577099Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T12:24:49.8581413Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T12:24:49.8615482Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-12-04T12:24:52.0658213Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-12-04T12:24:52.3572053Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-12-04T12:24:52.4150431Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-12-04T12:24:53.1447035Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-12-04T12:24:53.1615841Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-12-04T12:24:53.5012788Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a' 2025-12-04T12:24:53.5045291Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark' 2025-12-04T12:24:53.5048966Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest' 2025-12-04T12:24:53.5083792Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'... 2025-12-04T12:24:54.0562099Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'... 2025-12-04T12:24:54.4881588Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8' 2025-12-04T12:24:54.5747268Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081' 2025-12-04T12:24:54.5885362Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900' 2025-12-04T12:24:54.6056133Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-12-04T12:24:54.6626315Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8' 2025-12-04T12:24:54.6999783Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67' 2025-12-04T12:24:54.7548791Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68' 2025-12-04T12:24:54.7932476Z Submodule path 'third_party/tensorpipe': checked out '2b4cd91092d335a697416b2a3cb398283246849d' 2025-12-04T12:24:54.7958609Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' 2025-12-04T12:24:54.7961350Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' 2025-12-04T12:24:54.7965148Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' 2025-12-04T12:24:54.7969290Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T12:24:54.8004574Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'... 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2025-12-04T12:24:58.6613212Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-12-04T12:24:58.7011388Z Entering 'android/libs/fbjni' 2025-12-04T12:24:58.7071661Z Entering 'third_party/FP16' 2025-12-04T12:24:58.7133062Z Entering 'third_party/FXdiv' 2025-12-04T12:24:58.7191676Z Entering 'third_party/NNPACK' 2025-12-04T12:24:58.7253522Z Entering 'third_party/NVTX' 2025-12-04T12:24:58.7314019Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T12:24:58.7374234Z Entering 'third_party/XNNPACK' 2025-12-04T12:24:58.7449270Z Entering 'third_party/aiter' 2025-12-04T12:24:58.7509894Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T12:24:58.7578676Z Entering 'third_party/benchmark' 2025-12-04T12:24:58.7638121Z Entering 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--recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-12-04T12:24:59.2439553Z Entering 'android/libs/fbjni' 2025-12-04T12:24:59.2500779Z Entering 'third_party/FP16' 2025-12-04T12:24:59.2561148Z Entering 'third_party/FXdiv' 2025-12-04T12:24:59.2619508Z Entering 'third_party/NNPACK' 2025-12-04T12:24:59.2679900Z Entering 'third_party/NVTX' 2025-12-04T12:24:59.2741997Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T12:24:59.2803067Z Entering 'third_party/XNNPACK' 2025-12-04T12:24:59.2878849Z Entering 'third_party/aiter' 2025-12-04T12:24:59.2940554Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T12:24:59.3009048Z Entering 'third_party/benchmark' 2025-12-04T12:24:59.3070436Z Entering 'third_party/composable_kernel' 2025-12-04T12:24:59.3140896Z Entering 'third_party/cpp-httplib' 2025-12-04T12:24:59.3200283Z Entering 'third_party/cpuinfo' 2025-12-04T12:24:59.3261008Z Entering 'third_party/cudnn_frontend' 2025-12-04T12:24:59.3320583Z Entering 'third_party/cutlass' 2025-12-04T12:24:59.3390976Z Entering 'third_party/fbgemm' 2025-12-04T12:24:59.3452368Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T12:24:59.3513515Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T12:24:59.3579016Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T12:24:59.3636416Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T12:24:59.3704165Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T12:24:59.3761417Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T12:24:59.3819122Z Entering 'third_party/fbgemm/external/json' 2025-12-04T12:24:59.3888309Z Entering 'third_party/flash-attention' 2025-12-04T12:24:59.3950272Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T12:24:59.4013682Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T12:24:59.4085736Z Entering 'third_party/flatbuffers' 2025-12-04T12:24:59.4317713Z Entering 'third_party/fmt' 2025-12-04T12:24:59.4378245Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T12:24:59.4439416Z Entering 'third_party/gloo' 2025-12-04T12:24:59.4498581Z Entering 'third_party/googletest' 2025-12-04T12:24:59.4559385Z Entering 'third_party/ideep' 2025-12-04T12:24:59.4621618Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T12:24:59.4695725Z Entering 'third_party/ittapi' 2025-12-04T12:24:59.4757805Z Entering 'third_party/kineto' 2025-12-04T12:24:59.4817143Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T12:24:59.4873462Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T12:24:59.4932582Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T12:24:59.4989844Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T12:24:59.5049539Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T12:24:59.5107605Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T12:24:59.5171334Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T12:24:59.5228617Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T12:24:59.5288248Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T12:24:59.5347498Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T12:24:59.5404612Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T12:24:59.5461387Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T12:24:59.5527200Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T12:24:59.5592224Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T12:24:59.5649900Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T12:24:59.5716138Z Entering 'third_party/kleidiai' 2025-12-04T12:24:59.5777741Z Entering 'third_party/mimalloc' 2025-12-04T12:24:59.5839570Z Entering 'third_party/nlohmann' 2025-12-04T12:24:59.5900515Z Entering 'third_party/onnx' 2025-12-04T12:24:59.5978381Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T12:24:59.6047041Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T12:24:59.6111126Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T12:24:59.6170837Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T12:24:59.6225137Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T12:24:59.6282288Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T12:24:59.6346743Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T12:24:59.6402896Z Entering 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'third_party/python-peachpy' 2025-12-04T12:24:59.7215663Z Entering 'third_party/sleef' 2025-12-04T12:24:59.7276979Z Entering 'third_party/tensorpipe' 2025-12-04T12:24:59.7336691Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T12:24:59.7393348Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T12:24:59.7450819Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T12:24:59.7508079Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T12:24:59.7562695Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T12:24:59.7649506Z ##[endgroup] 2025-12-04T12:24:59.7696738Z [command]/usr/bin/git log -1 --format=%H 2025-12-04T12:24:59.7725814Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T12:24:59.7855600Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-12-04T12:24:59.7855937Z cd "${GITHUB_WORKSPACE}" 2025-12-04T12:24:59.7856223Z # Clean stale submodule dirs 2025-12-04T12:24:59.7856536Z if [ -z "${NO_SUDO}" ]; then 2025-12-04T12:24:59.7856897Z  sudo git submodule foreach --recursive git clean -ffdx 2025-12-04T12:24:59.7857245Z else 2025-12-04T12:24:59.7857533Z  git submodule foreach --recursive git clean -ffdx 2025-12-04T12:24:59.7857875Z fi 2025-12-04T12:24:59.7868368Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:24:59.7868721Z env: 2025-12-04T12:24:59.7868932Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:24:59.7869178Z NO_SUDO: true 2025-12-04T12:24:59.7869394Z ##[endgroup] 2025-12-04T12:24:59.8291154Z Entering 'android/libs/fbjni' 2025-12-04T12:24:59.8337972Z Entering 'third_party/FP16' 2025-12-04T12:24:59.8382138Z Entering 'third_party/FXdiv' 2025-12-04T12:24:59.8426869Z Entering 'third_party/NNPACK' 2025-12-04T12:24:59.8476934Z Entering 'third_party/NVTX' 2025-12-04T12:24:59.8530454Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T12:24:59.8576582Z Entering 'third_party/XNNPACK' 2025-12-04T12:24:59.8731307Z Entering 'third_party/aiter' 2025-12-04T12:24:59.8789616Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T12:24:59.8940053Z Entering 'third_party/benchmark' 2025-12-04T12:24:59.8986738Z Entering 'third_party/composable_kernel' 2025-12-04T12:24:59.9147960Z Entering 'third_party/cpp-httplib' 2025-12-04T12:24:59.9195118Z Entering 'third_party/cpuinfo' 2025-12-04T12:24:59.9247181Z Entering 'third_party/cudnn_frontend' 2025-12-04T12:24:59.9297937Z Entering 'third_party/cutlass' 2025-12-04T12:24:59.9434144Z Entering 'third_party/fbgemm' 2025-12-04T12:24:59.9516096Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T12:24:59.9565658Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T12:24:59.9721037Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T12:24:59.9770100Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T12:24:59.9905440Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T12:24:59.9952170Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T12:24:59.9993585Z Entering 'third_party/fbgemm/external/json' 2025-12-04T12:25:00.0057303Z Entering 'third_party/flash-attention' 2025-12-04T12:25:00.0113878Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T12:25:00.0246786Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T12:25:00.0366124Z Entering 'third_party/flatbuffers' 2025-12-04T12:25:00.0466149Z Entering 'third_party/fmt' 2025-12-04T12:25:00.0513203Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T12:25:00.0559962Z Entering 'third_party/gloo' 2025-12-04T12:25:00.0605662Z Entering 'third_party/googletest' 2025-12-04T12:25:00.0654609Z Entering 'third_party/ideep' 2025-12-04T12:25:00.0696222Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T12:25:00.0813062Z Entering 'third_party/ittapi' 2025-12-04T12:25:00.0862637Z Entering 'third_party/kineto' 2025-12-04T12:25:00.0914307Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T12:25:00.0966768Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T12:25:00.1030831Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T12:25:00.1076542Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T12:25:00.1125963Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T12:25:00.1173113Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T12:25:00.1218199Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T12:25:00.1266844Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T12:25:00.1312995Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T12:25:00.1369293Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T12:25:00.1412983Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T12:25:00.1460183Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T12:25:00.1527961Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T12:25:00.1591107Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T12:25:00.1636668Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T12:25:00.1689071Z Entering 'third_party/kleidiai' 2025-12-04T12:25:00.1745237Z Entering 'third_party/mimalloc' 2025-12-04T12:25:00.1792732Z Entering 'third_party/nlohmann' 2025-12-04T12:25:00.1864953Z Entering 'third_party/onnx' 2025-12-04T12:25:00.2333604Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T12:25:00.2388324Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T12:25:00.2466429Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T12:25:00.2510023Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T12:25:00.2557214Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T12:25:00.2598579Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T12:25:00.2655840Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T12:25:00.2698277Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T12:25:00.2741643Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T12:25:00.2783904Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T12:25:00.2850657Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T12:25:00.2901026Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T12:25:00.3261507Z Entering 'third_party/pocketfft' 2025-12-04T12:25:00.3305670Z Entering 'third_party/protobuf' 2025-12-04T12:25:00.3413276Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T12:25:00.3457023Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T12:25:00.3514614Z Entering 'third_party/psimd' 2025-12-04T12:25:00.3558398Z Entering 'third_party/pthreadpool' 2025-12-04T12:25:00.3603550Z Entering 'third_party/pybind11' 2025-12-04T12:25:00.3655457Z Entering 'third_party/python-peachpy' 2025-12-04T12:25:00.3701343Z Entering 'third_party/sleef' 2025-12-04T12:25:00.3750694Z Entering 'third_party/tensorpipe' 2025-12-04T12:25:00.3798442Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T12:25:00.3846377Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T12:25:00.3889486Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T12:25:00.3938706Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T12:25:00.3983356Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T12:25:00.4159948Z Prepare all required actions 2025-12-04T12:25:00.4160459Z Getting action download info 2025-12-04T12:25:00.5669343Z ##[group]Run ./.github/actions/setup-linux 2025-12-04T12:25:00.5669644Z env: 2025-12-04T12:25:00.5669851Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:25:00.5670117Z ##[endgroup] 2025-12-04T12:25:00.5706229Z ##[group]Run set -euo pipefail 2025-12-04T12:25:00.5706549Z set -euo pipefail 2025-12-04T12:25:00.5706829Z function get_ec2_metadata() { 2025-12-04T12:25:00.5707188Z  # Pulled from instance metadata endpoint for EC2 2025-12-04T12:25:00.5707764Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-12-04T12:25:00.5708289Z  category=$1 2025-12-04T12:25:00.5708646Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-12-04T12:25:00.5709042Z  runner_name_str=i-031925788cb327f24 2025-12-04T12:25:00.5709400Z  if [[ -f /.inarc ]]; then 2025-12-04T12:25:00.5709730Z  echo "ARC Runner, no info on ec2 metadata" 2025-12-04T12:25:00.5710100Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-12-04T12:25:00.5710542Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-12-04T12:25:00.5710932Z  else 2025-12-04T12:25:00.5711699Z  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}" 2025-12-04T12:25:00.5712516Z  fi 2025-12-04T12:25:00.5712734Z } 2025-12-04T12:25:00.5712999Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-12-04T12:25:00.5713388Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-12-04T12:25:00.5713843Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-12-04T12:25:00.5714235Z echo "system info $(uname -a)" 2025-12-04T12:25:00.5724376Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:25:00.5724771Z env: 2025-12-04T12:25:00.5724990Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:25:00.5725234Z ##[endgroup] 2025-12-04T12:25:00.5899431Z ami-id: ami-08982f1c5bf93d976 2025-12-04T12:25:00.6022090Z instance-id: i-031925788cb327f24 2025-12-04T12:25:00.6144382Z instance-type: g5.4xlarge 2025-12-04T12:25:00.6160611Z system info Linux ip-10-0-70-78.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 2025-12-04T12:25:00.6181885Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T12:25:00.6182336Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T12:25:00.6192038Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:25:00.6192384Z env: 2025-12-04T12:25:00.6192594Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:25:00.6192852Z ##[endgroup] 2025-12-04T12:25:02.2331650Z Thu Dec 4 12:25:02 2025 2025-12-04T12:25:02.2333299Z +-----------------------------------------------------------------------------------------+ 2025-12-04T12:25:02.2334075Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T12:25:02.2334548Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T12:25:02.2335034Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T12:25:02.2335552Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T12:25:02.2335971Z | | | MIG M. | 2025-12-04T12:25:02.2336313Z |=========================================+========================+======================| 2025-12-04T12:25:02.2430346Z | 0 NVIDIA A10G Off | 00000000:00:1E.0 Off | 0 | 2025-12-04T12:25:02.2431150Z | 0% 24C P0 53W / 300W | 0MiB / 23028MiB | 3% Default | 2025-12-04T12:25:02.2431539Z | | | N/A | 2025-12-04T12:25:02.2431946Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T12:25:02.2432301Z 2025-12-04T12:25:02.2432513Z +-----------------------------------------------------------------------------------------+ 2025-12-04T12:25:02.2432941Z | Processes: | 2025-12-04T12:25:02.2433367Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T12:25:02.2433779Z | ID ID Usage | 2025-12-04T12:25:02.2434112Z |=========================================================================================| 2025-12-04T12:25:02.2436154Z | No running processes found | 2025-12-04T12:25:02.2436626Z +-----------------------------------------------------------------------------------------+ 2025-12-04T12:25:02.6784928Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T12:25:02.6785777Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T12:25:02.6799338Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:25:02.6799691Z env: 2025-12-04T12:25:02.6799917Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:25:02.6800167Z ##[endgroup] 2025-12-04T12:25:02.6862495Z ##[group]Run if systemctl is-active --quiet docker; then 2025-12-04T12:25:02.6862897Z if systemctl is-active --quiet docker; then 2025-12-04T12:25:02.6863253Z  echo "Docker daemon is running..."; 2025-12-04T12:25:02.6863563Z else 2025-12-04T12:25:02.6863886Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-12-04T12:25:02.6864265Z fi 2025-12-04T12:25:02.6873712Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:25:02.6874056Z env: 2025-12-04T12:25:02.6874256Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:25:02.6874500Z ##[endgroup] 2025-12-04T12:25:02.6970347Z Docker daemon is running... 2025-12-04T12:25:02.7011439Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T12:25:02.7011721Z with: 2025-12-04T12:25:02.7011913Z shell: bash 2025-12-04T12:25:02.7012128Z timeout_minutes: 5 2025-12-04T12:25:02.7012346Z max_attempts: 3 2025-12-04T12:25:02.7012580Z retry_wait_seconds: 30 2025-12-04T12:25:02.7014630Z command: AWS_ACCOUNT_ID=$(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 2025-12-04T12:25:02.7016845Z polling_interval_seconds: 1 2025-12-04T12:25:02.7017113Z warning_on_retry: true 2025-12-04T12:25:02.7017367Z continue_on_error: false 2025-12-04T12:25:02.7017599Z env: 2025-12-04T12:25:02.7017797Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:25:02.7018046Z AWS_RETRY_MODE: standard 2025-12-04T12:25:02.7018286Z AWS_MAX_ATTEMPTS: 5 2025-12-04T12:25:02.7018531Z AWS_DEFAULT_REGION: us-east-1 2025-12-04T12:25:02.7018791Z ##[endgroup] 2025-12-04T12:25:03.8513441Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T12:25:03.8514317Z Configure a credential helper to remove this warning. See 2025-12-04T12:25:03.8514852Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T12:25:03.8515214Z 2025-12-04T12:25:03.8515315Z Login Succeeded 2025-12-04T12:25:04.7905084Z Command completed after 1 attempt(s). 2025-12-04T12:25:04.7976484Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T12:25:04.7977122Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T12:25:04.7977573Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T12:25:04.7988730Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:25:04.7989073Z env: 2025-12-04T12:25:04.7989285Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:25:04.7989544Z ##[endgroup] 2025-12-04T12:25:04.8094065Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T12:25:04.8094593Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T12:25:04.8095006Z # shellcheck disable=SC2046 2025-12-04T12:25:04.8095325Z docker stop $(docker ps -q) || true 2025-12-04T12:25:04.8095653Z # Prune all of the docker images 2025-12-04T12:25:04.8095973Z docker system prune -af 2025-12-04T12:25:04.8105332Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:25:04.8105677Z env: 2025-12-04T12:25:04.8105876Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:25:04.8106119Z ##[endgroup] 2025-12-04T12:25:04.8430747Z "docker stop" requires at least 1 argument. 2025-12-04T12:25:04.8431134Z See 'docker stop --help'. 2025-12-04T12:25:04.8431301Z 2025-12-04T12:25:04.8431462Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-12-04T12:25:04.8431713Z 2025-12-04T12:25:04.8431816Z Stop one or more running containers 2025-12-04T12:25:04.8686698Z Total reclaimed space: 0B 2025-12-04T12:25:04.8881488Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-12-04T12:25:04.8881914Z with: 2025-12-04T12:25:04.8882766Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:25:04.8883720Z use-custom-docker-registry: true 2025-12-04T12:25:04.8884018Z docker-build-dir: .ci/docker 2025-12-04T12:25:04.8884298Z docker-build-script: ./build.sh 2025-12-04T12:25:04.8884576Z working-directory: . 2025-12-04T12:25:04.8884896Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T12:25:04.8885268Z force-push: false 2025-12-04T12:25:04.8885473Z env: 2025-12-04T12:25:04.8885664Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:25:04.8885902Z ##[endgroup] 2025-12-04T12:25:04.8905333Z ##[group]Run set -ex 2025-12-04T12:25:04.8905603Z set -ex 2025-12-04T12:25:04.8905819Z  2025-12-04T12:25:04.8906215Z # If the docker build directory or the build script doesn't exist, the action will 2025-12-04T12:25:04.8907073Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-12-04T12:25:04.8907590Z # job could then download the pre-built image as usual 2025-12-04T12:25:04.8908392Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-12-04T12:25:04.8908969Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-12-04T12:25:04.8909288Z else 2025-12-04T12:25:04.8909585Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-12-04T12:25:04.8909998Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T12:25:04.8910359Z  2025-12-04T12:25:04.8910863Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-12-04T12:25:04.8911433Z  exit 0 2025-12-04T12:25:04.8911631Z fi 2025-12-04T12:25:04.8911827Z  2025-12-04T12:25:04.8912140Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-12-04T12:25:04.8912689Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-12-04T12:25:04.8913174Z  # use it as it is, but first let's extract the tag 2025-12-04T12:25:04.8913613Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-12-04T12:25:04.8914078Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T12:25:04.8914521Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T12:25:04.8914885Z else 2025-12-04T12:25:04.8915145Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-12-04T12:25:04.8915499Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-12-04T12:25:04.8915856Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-12-04T12:25:04.8916167Z  fi 2025-12-04T12:25:04.8916584Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-12-04T12:25:04.8917137Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T12:25:04.8917712Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T12:25:04.8918353Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-12-04T12:25:04.8918739Z fi 2025-12-04T12:25:04.8928633Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:25:04.8928982Z env: 2025-12-04T12:25:04.8929195Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:25:04.8929443Z REPO_NAME: pytorch 2025-12-04T12:25:04.8930540Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:25:04.8931466Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T12:25:04.8931742Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-12-04T12:25:04.8932100Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T12:25:04.8932483Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-12-04T12:25:04.8932754Z CUSTOM_TAG_PREFIX: 2025-12-04T12:25:04.8932973Z ##[endgroup] 2025-12-04T12:25:04.8964047Z + [[ -d .ci/docker ]] 2025-12-04T12:25:04.8964429Z + [[ -f .ci/docker/./build.sh ]] 2025-12-04T12:25:04.8964826Z + [[ true == \t\r\u\e ]] 2025-12-04T12:25:04.8965141Z + echo skip=false 2025-12-04T12:25:04.8966305Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-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* ]] 2025-12-04T12:25:04.8972624Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:25:04.8973534Z ++ awk -F '[:,]' '{print $2}' 2025-12-04T12:25:04.8999760Z + DOCKER_TAG=pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:25:04.9001056Z + echo docker-tag=pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:25:04.9002829Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:25:04.9027269Z ##[group]Run set +e 2025-12-04T12:25:04.9027541Z set +e 2025-12-04T12:25:04.9027744Z set -x 2025-12-04T12:25:04.9027943Z  2025-12-04T12:25:04.9028134Z login() { 2025-12-04T12:25:04.9028576Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T12:25:04.9029050Z } 2025-12-04T12:25:04.9029238Z  2025-12-04T12:25:04.9029423Z retry () { 2025-12-04T12:25:04.9029676Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T12:25:04.9029972Z } 2025-12-04T12:25:04.9030158Z  2025-12-04T12:25:04.9030377Z retry login "${DOCKER_REGISTRY}" 2025-12-04T12:25:04.9030653Z  2025-12-04T12:25:04.9030860Z START_TIME=$(date +%s) 2025-12-04T12:25:04.9031127Z # Wait up to 120 minutes 2025-12-04T12:25:04.9031476Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-12-04T12:25:04.9031932Z  # Check if image already exists, if it does then skip building it 2025-12-04T12:25:04.9032405Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-12-04T12:25:04.9032738Z  exit 0 2025-12-04T12:25:04.9032974Z  fi 2025-12-04T12:25:04.9033188Z  2025-12-04T12:25:04.9033542Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-12-04T12:25:04.9034155Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-12-04T12:25:04.9034766Z  # latter, it will wait for the Docker images to become available before continuing 2025-12-04T12:25:04.9035255Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-12-04T12:25:04.9035629Z  # It's a Docker build job, let's build the image 2025-12-04T12:25:04.9035957Z  break 2025-12-04T12:25:04.9036180Z  else 2025-12-04T12:25:04.9036497Z  # It's a regular build job, wait for the image to become available 2025-12-04T12:25:04.9036881Z  sleep 300 2025-12-04T12:25:04.9037120Z  fi 2025-12-04T12:25:04.9037320Z done 2025-12-04T12:25:04.9037526Z  2025-12-04T12:25:04.9038032Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-12-04T12:25:04.9038564Z # be empty. The default action would be to continue rebuild the image 2025-12-04T12:25:04.9039033Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-12-04T12:25:04.9039464Z  # if we're on the base branch then use the parent commit 2025-12-04T12:25:04.9039846Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-12-04T12:25:04.9040231Z else 2025-12-04T12:25:04.9052905Z  # otherwise we're on a PR, so use the most recent base commit 2025-12-04T12:25:04.9053384Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-12-04T12:25:04.9053712Z fi 2025-12-04T12:25:04.9053899Z  2025-12-04T12:25:04.9054112Z if [[ -z "${MERGE_BASE}" ]]; then 2025-12-04T12:25:04.9054432Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T12:25:04.9054726Z  2025-12-04T12:25:04.9055156Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-12-04T12:25:04.9055647Z  exit 0 2025-12-04T12:25:04.9055867Z fi 2025-12-04T12:25:04.9056063Z  2025-12-04T12:25:04.9056348Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-12-04T12:25:04.9057135Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-12-04T12:25:04.9057648Z  exit 1 2025-12-04T12:25:04.9057850Z fi 2025-12-04T12:25:04.9058035Z  2025-12-04T12:25:04.9058358Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-12-04T12:25:04.9058935Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-12-04T12:25:04.9059476Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-12-04T12:25:04.9060101Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-12-04T12:25:04.9060785Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-12-04T12:25:04.9061211Z fi 2025-12-04T12:25:04.9061406Z  2025-12-04T12:25:04.9061669Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T12:25:04.9070572Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:25:04.9070920Z env: 2025-12-04T12:25:04.9071121Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:25:04.9071380Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T12:25:04.9071704Z BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T12:25:04.9072660Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:25:04.9073940Z DOCKER_TAG: pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:25:04.9074685Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T12:25:04.9075043Z DOCKER_PUSH: 2025-12-04T12:25:04.9075257Z ##[endgroup] 2025-12-04T12:25:04.9104386Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T12:25:04.9104816Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T12:25:04.9107551Z + aws ecr get-login-password --region us-east-1 2025-12-04T12:25:04.9109835Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T12:25:05.4384929Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T12:25:05.4385685Z Configure a credential helper to remove this warning. See 2025-12-04T12:25:05.4386314Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T12:25:05.4386762Z 2025-12-04T12:25:05.4386879Z Login Succeeded 2025-12-04T12:25:05.4414911Z ++ date +%s 2025-12-04T12:25:05.4428854Z + START_TIME=1764851105 2025-12-04T12:25:05.4433242Z ++ date +%s 2025-12-04T12:25:05.4446677Z + [[ 1764843905 -lt 1764851105 ]] 2025-12-04T12:25:05.4447729Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:25:05.6962833Z { 2025-12-04T12:25:05.6963141Z "schemaVersion": 2, 2025-12-04T12:25:05.6963756Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-12-04T12:25:05.6964197Z "config": { 2025-12-04T12:25:05.6964519Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-12-04T12:25:05.6964891Z "size": 34947, 2025-12-04T12:25:05.6965277Z "digest": "sha256:0e63df0aa83233cfa57229aa94390c577c4d21f745bb6a854e95438d0cb5c1cd" 2025-12-04T12:25:05.6965702Z }, 2025-12-04T12:25:05.6965885Z "layers": [ 2025-12-04T12:25:05.6966073Z { 2025-12-04T12:25:05.6966399Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T12:25:05.6966781Z "size": 30447951, 2025-12-04T12:25:05.6967322Z "digest": "sha256:63e5bc7682b85ae57a1221210f64d62e7a90b0a30f19af4ca734b8242ae49d63" 2025-12-04T12:25:05.6967873Z }, 2025-12-04T12:25:05.6968090Z { 2025-12-04T12:25:05.6968857Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T12:25:05.6969429Z "size": 1554, 2025-12-04T12:25:05.6970002Z "digest": "sha256:52af53fd25c0e9e3b04e51a378a70299996881d0c7ae5cce50aa969e10922fb1" 2025-12-04T12:25:05.6970548Z }, 2025-12-04T12:25:05.6970729Z { 2025-12-04T12:25:05.6971034Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T12:25:05.6971412Z "size": 313275788, 2025-12-04T12:25:05.6971802Z "digest": 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"sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T12:25:05.7123369Z } 2025-12-04T12:25:05.7123540Z ] 2025-12-04T12:25:05.7123719Z } 2025-12-04T12:25:05.7150063Z ##[group]Run set -eux 2025-12-04T12:25:05.7150320Z set -eux 2025-12-04T12:25:05.7150842Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-12-04T12:25:05.7151870Z 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 2025-12-04T12:25:05.7161785Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:25:05.7162139Z env: 2025-12-04T12:25:05.7162360Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:25:05.7162606Z ##[endgroup] 2025-12-04T12:25:05.7197568Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-12-04T12:25:05.7198775Z + jq --raw-output .SecretString 2025-12-04T12:25:05.7200126Z + jq -r .docker_hub_readonly_token 2025-12-04T12:25:05.7201083Z + docker login --username pytorchbot --password-stdin 2025-12-04T12:25:06.2964501Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T12:25:06.2965586Z Configure a credential helper to remove this warning. See 2025-12-04T12:25:06.2966560Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T12:25:06.2967210Z 2025-12-04T12:25:06.2967444Z Login Succeeded 2025-12-04T12:25:06.3062544Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T12:25:06.3063083Z tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T12:25:06.3063454Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-12-04T12:25:06.3072578Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:25:06.3072934Z env: 2025-12-04T12:25:06.3073147Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:25:06.3074046Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:25:06.3074948Z ##[endgroup] 2025-12-04T12:25:06.3118836Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:25:06.3165751Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-12-04T12:25:06.3166157Z with: 2025-12-04T12:25:06.3166985Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:25:06.3167997Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T12:25:06.3168355Z env: 2025-12-04T12:25:06.3168560Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:25:06.3168803Z ##[endgroup] 2025-12-04T12:25:06.3183606Z ##[group]Run set -x 2025-12-04T12:25:06.3183861Z set -x 2025-12-04T12:25:06.3184065Z set +e 2025-12-04T12:25:06.3184267Z  2025-12-04T12:25:06.3184461Z login() { 2025-12-04T12:25:06.3184892Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T12:25:06.3185368Z } 2025-12-04T12:25:06.3185567Z  2025-12-04T12:25:06.3185793Z retry () { 2025-12-04T12:25:06.3186053Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T12:25:06.3186354Z } 2025-12-04T12:25:06.3186556Z  2025-12-04T12:25:06.3186785Z retry login "${DOCKER_REGISTRY}" 2025-12-04T12:25:06.3187070Z  2025-12-04T12:25:06.3187519Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-12-04T12:25:06.3188128Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-12-04T12:25:06.3188467Z  2025-12-04T12:25:06.3188673Z set -e 2025-12-04T12:25:06.3189000Z # ignore output since only exit code is used for conditional 2025-12-04T12:25:06.3189460Z # only pull docker image if it's not available locally 2025-12-04T12:25:06.3189963Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-12-04T12:25:06.3190465Z  retry docker pull "${DOCKER_IMAGE}" 2025-12-04T12:25:06.3190798Z fi 2025-12-04T12:25:06.3199693Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:25:06.3200043Z env: 2025-12-04T12:25:06.3200265Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:25:06.3201147Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:25:06.3202155Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T12:25:06.3202528Z ##[endgroup] 2025-12-04T12:25:06.3233281Z + set +e 2025-12-04T12:25:06.3233643Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T12:25:06.3234053Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T12:25:06.3237690Z + aws ecr get-login-password --region us-east-1 2025-12-04T12:25:06.3238173Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T12:25:06.8533108Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T12:25:06.8533761Z Configure a credential helper to remove this warning. See 2025-12-04T12:25:06.8534362Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T12:25:06.8535204Z 2025-12-04T12:25:06.8535325Z Login Succeeded 2025-12-04T12:25:06.8565855Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:25:06.8566865Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-12-04T12:25:07.0800897Z + IMAGE_SIZE=30850.50593662262 2025-12-04T12:25:07.0801232Z Compressed size of image in MB: 30850.50593662262 2025-12-04T12:25:07.0801613Z + echo 'Compressed size of image in MB: 30850.50593662262' 2025-12-04T12:25:07.0801943Z + set -e 2025-12-04T12:25:07.0803111Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:25:07.0965791Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:25:07.0967349Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:25:07.3244426Z pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image 2025-12-04T12:25:07.3245544Z 63e5bc7682b8: Pulling fs layer 2025-12-04T12:25:07.3246010Z 52af53fd25c0: Pulling fs layer 2025-12-04T12:25:07.3246381Z 7a2d14937b90: Pulling fs layer 2025-12-04T12:25:07.3246736Z a9dd1160f2d4: Pulling fs layer 2025-12-04T12:25:07.3247128Z fe9d8ccf7cf5: Pulling fs layer 2025-12-04T12:25:07.3247503Z 7b542fb3d8c7: Pulling fs layer 2025-12-04T12:25:07.3247883Z 24d57d6c59bd: Pulling fs layer 2025-12-04T12:25:07.3248250Z 1990fd70aa4f: Pulling fs layer 2025-12-04T12:25:07.3248533Z fa2089c2cda7: Pulling fs layer 2025-12-04T12:25:07.3248914Z bf171dfdd5c1: Pulling fs layer 2025-12-04T12:25:07.3249278Z cafc0609eaeb: Pulling fs layer 2025-12-04T12:25:07.3249680Z f225e2997ef7: Pulling fs layer 2025-12-04T12:25:07.3250050Z 4fb17516c263: Pulling fs layer 2025-12-04T12:25:07.3250355Z fe9d8ccf7cf5: Waiting 2025-12-04T12:25:07.3250633Z 454bbaf6cb9a: Pulling fs layer 2025-12-04T12:25:07.3251014Z 4f4fb700ef54: Pulling fs layer 2025-12-04T12:25:07.3251339Z 7b542fb3d8c7: Waiting 2025-12-04T12:25:07.3251592Z 2e3db6566b11: Pulling fs layer 2025-12-04T12:25:07.3252013Z 24d57d6c59bd: Waiting 2025-12-04T12:25:07.3252334Z 1990fd70aa4f: Waiting 2025-12-04T12:25:07.3252616Z 198b14aba0ec: Pulling fs layer 2025-12-04T12:25:07.3252888Z a24d7cc3af35: Pulling fs layer 2025-12-04T12:25:07.3253248Z a9dd1160f2d4: Waiting 2025-12-04T12:25:07.3253561Z f8f9a354618e: Pulling fs layer 2025-12-04T12:25:07.3253935Z 6cd024115488: Pulling fs layer 2025-12-04T12:25:07.3254248Z fa2089c2cda7: Waiting 2025-12-04T12:25:07.3254546Z bf171dfdd5c1: Waiting 2025-12-04T12:25:07.3254853Z 454bbaf6cb9a: Waiting 2025-12-04T12:25:07.3255091Z 948d6ea06e56: Pulling fs layer 2025-12-04T12:25:07.3255343Z cafc0609eaeb: Waiting 2025-12-04T12:25:07.3255569Z f225e2997ef7: Waiting 2025-12-04T12:25:07.3255801Z 198b14aba0ec: Waiting 2025-12-04T12:25:07.3256019Z 4fb17516c263: Waiting 2025-12-04T12:25:07.3256242Z 4f4fb700ef54: Waiting 2025-12-04T12:25:07.3256489Z e9ebcf70daa1: Pulling fs layer 2025-12-04T12:25:07.3256760Z f3af795655bf: Pulling fs layer 2025-12-04T12:25:07.3257036Z 623e4e475994: Pulling fs layer 2025-12-04T12:25:07.3257286Z 2e3db6566b11: Waiting 2025-12-04T12:25:07.3257503Z 6cd024115488: Waiting 2025-12-04T12:25:07.3257729Z 948d6ea06e56: Waiting 2025-12-04T12:25:07.3257955Z e9ebcf70daa1: Waiting 2025-12-04T12:25:07.3258182Z f3af795655bf: Waiting 2025-12-04T12:25:07.3258406Z f8f9a354618e: Waiting 2025-12-04T12:25:07.3258647Z 1b425f54d45a: Pulling fs layer 2025-12-04T12:25:07.3258915Z 3bd610363e87: Pulling fs layer 2025-12-04T12:25:07.3259169Z a24d7cc3af35: Waiting 2025-12-04T12:25:07.3259669Z 0d829a430949: Pulling fs layer 2025-12-04T12:25:07.3259923Z 1b425f54d45a: Waiting 2025-12-04T12:25:07.3260156Z e9ee32a331ee: Pulling fs layer 2025-12-04T12:25:07.3260440Z 7aee06eab5cc: Pulling fs layer 2025-12-04T12:25:07.3260789Z 92dc1fcaf535: Pulling fs layer 2025-12-04T12:25:07.3261049Z aad2dda5abf8: Pulling fs layer 2025-12-04T12:25:07.3261368Z 0d829a430949: Waiting 2025-12-04T12:25:07.3261735Z eead846d8cc5: Pulling fs layer 2025-12-04T12:25:07.3262040Z f91b7f2cc5b1: Pulling fs layer 2025-12-04T12:25:07.3262356Z 7c87f9e9a7da: Pulling fs layer 2025-12-04T12:25:07.3262611Z aad2dda5abf8: Waiting 2025-12-04T12:25:07.3262837Z 7aee06eab5cc: Waiting 2025-12-04T12:25:07.3263072Z eead846d8cc5: Waiting 2025-12-04T12:25:07.3263593Z dbbe08a84bc9: Pulling fs layer 2025-12-04T12:25:07.3263849Z f91b7f2cc5b1: Waiting 2025-12-04T12:25:07.3264080Z 1966727a8204: Pulling fs layer 2025-12-04T12:25:07.3264329Z 7c87f9e9a7da: Waiting 2025-12-04T12:25:07.3264546Z dbbe08a84bc9: Waiting 2025-12-04T12:25:07.3264784Z 6e9447835dfe: Pulling fs layer 2025-12-04T12:25:07.3265037Z 3bd610363e87: Waiting 2025-12-04T12:25:07.3265252Z 1966727a8204: Waiting 2025-12-04T12:25:07.3265478Z 03747c520d9d: Pulling fs layer 2025-12-04T12:25:07.3265728Z e9ee32a331ee: Waiting 2025-12-04T12:25:07.3265989Z 2e85a6d0838c: Pulling fs layer 2025-12-04T12:25:07.3266229Z 6e9447835dfe: Waiting 2025-12-04T12:25:07.3266444Z 623e4e475994: Waiting 2025-12-04T12:25:07.3266673Z 33a05cdc9fee: Pulling fs layer 2025-12-04T12:25:07.3266922Z 2e85a6d0838c: Waiting 2025-12-04T12:25:07.3267150Z c2b656a3fcc8: Pulling fs layer 2025-12-04T12:25:07.3267396Z 03747c520d9d: Waiting 2025-12-04T12:25:07.3267622Z e0547817cc88: Pulling fs layer 2025-12-04T12:25:07.3267877Z 829daffab17e: Pulling fs layer 2025-12-04T12:25:07.3268134Z 33a05cdc9fee: Waiting 2025-12-04T12:25:07.3268366Z b4d6f4186453: Pulling fs layer 2025-12-04T12:25:07.3268607Z c2b656a3fcc8: Waiting 2025-12-04T12:25:07.3268823Z 829daffab17e: Waiting 2025-12-04T12:25:07.3269053Z 23c02149d17a: Pulling fs layer 2025-12-04T12:25:07.3269296Z b4d6f4186453: Waiting 2025-12-04T12:25:07.3269532Z c2ae662c469a: Pulling fs layer 2025-12-04T12:25:07.3269807Z 4d0d0657f04c: Pulling fs layer 2025-12-04T12:25:07.3270092Z fa95a4cd731f: Pulling fs layer 2025-12-04T12:25:07.3270339Z c2ae662c469a: Waiting 2025-12-04T12:25:07.3270560Z 23c02149d17a: Waiting 2025-12-04T12:25:07.3270770Z 4d0d0657f04c: Waiting 2025-12-04T12:25:07.3270998Z 302b109eb199: Pulling fs layer 2025-12-04T12:25:07.3271264Z 15d1d8dbc72b: Pulling fs layer 2025-12-04T12:25:07.3271532Z 2f3ce11db269: Pulling fs layer 2025-12-04T12:25:07.3271774Z 302b109eb199: Waiting 2025-12-04T12:25:07.3272011Z a1def62edc9c: Pulling fs layer 2025-12-04T12:25:07.3272264Z 15d1d8dbc72b: Waiting 2025-12-04T12:25:07.3272499Z 249ad13f24de: Pulling fs layer 2025-12-04T12:25:07.3272752Z 2f3ce11db269: Waiting 2025-12-04T12:25:07.3272982Z a1def62edc9c: Waiting 2025-12-04T12:25:07.3273202Z 249ad13f24de: Waiting 2025-12-04T12:25:07.3273441Z fb88572d9468: Pulling fs layer 2025-12-04T12:25:07.3273694Z fb88572d9468: Waiting 2025-12-04T12:25:07.3273910Z 92dc1fcaf535: Waiting 2025-12-04T12:25:07.3274146Z 835634157201: Pulling fs layer 2025-12-04T12:25:07.3274406Z 60bb5d623b49: Pulling fs layer 2025-12-04T12:25:07.3274650Z fa95a4cd731f: Waiting 2025-12-04T12:25:07.3274886Z d2077848ea2f: Pulling fs layer 2025-12-04T12:25:07.3275133Z 60bb5d623b49: Waiting 2025-12-04T12:25:07.3275343Z 835634157201: Waiting 2025-12-04T12:25:07.3275575Z 9f6f5f1077de: Pulling fs layer 2025-12-04T12:25:07.3275838Z d2077848ea2f: Waiting 2025-12-04T12:25:07.3276069Z dcc18cdafbc5: Pulling fs layer 2025-12-04T12:25:07.3276342Z dbae1dfcb13c: Pulling fs layer 2025-12-04T12:25:07.3276602Z 87c0b3679273: Pulling fs layer 2025-12-04T12:25:07.3276861Z dcc18cdafbc5: Waiting 2025-12-04T12:25:07.3277098Z a721a681c19a: Pulling fs layer 2025-12-04T12:25:07.3277349Z dbae1dfcb13c: Waiting 2025-12-04T12:25:07.3277587Z baa673fbfba3: Pulling fs layer 2025-12-04T12:25:07.3277841Z f2346db58935: Pulling fs layer 2025-12-04T12:25:07.3278102Z 3c9763d06003: Pulling fs layer 2025-12-04T12:25:07.3278454Z 28ed0a886ddb: Pulling fs layer 2025-12-04T12:25:07.3278698Z a721a681c19a: Waiting 2025-12-04T12:25:07.3278935Z dea110b59d59: Pulling fs layer 2025-12-04T12:25:07.3279182Z baa673fbfba3: Waiting 2025-12-04T12:25:07.3279410Z 1c7b4b243678: Pulling fs layer 2025-12-04T12:25:07.3279659Z 3c9763d06003: Waiting 2025-12-04T12:25:07.3279892Z 904b500ebbda: Pulling fs layer 2025-12-04T12:25:07.3280132Z 28ed0a886ddb: Waiting 2025-12-04T12:25:07.3280398Z 87c0b3679273: Waiting 2025-12-04T12:25:07.3280698Z dea110b59d59: Waiting 2025-12-04T12:25:07.3280921Z 082cb6315104: Pulling fs layer 2025-12-04T12:25:07.3281191Z 9ca4a44dadcc: Pulling fs layer 2025-12-04T12:25:07.3281508Z 082cb6315104: Waiting 2025-12-04T12:25:07.3281831Z f2346db58935: Waiting 2025-12-04T12:25:07.3282062Z 9ca4a44dadcc: Waiting 2025-12-04T12:25:07.3282291Z 904b500ebbda: Waiting 2025-12-04T12:25:07.4150623Z 52af53fd25c0: Verifying Checksum 2025-12-04T12:25:07.4150927Z 52af53fd25c0: Download complete 2025-12-04T12:25:07.5173860Z a9dd1160f2d4: Download complete 2025-12-04T12:25:07.5936660Z fe9d8ccf7cf5: Verifying Checksum 2025-12-04T12:25:07.5937070Z fe9d8ccf7cf5: Download complete 2025-12-04T12:25:07.6886925Z 63e5bc7682b8: Download complete 2025-12-04T12:25:07.6896294Z 7b542fb3d8c7: Verifying Checksum 2025-12-04T12:25:07.6896687Z 7b542fb3d8c7: Download complete 2025-12-04T12:25:07.7768219Z 24d57d6c59bd: Verifying Checksum 2025-12-04T12:25:07.7768559Z 24d57d6c59bd: Download complete 2025-12-04T12:25:07.7906290Z 1990fd70aa4f: Verifying Checksum 2025-12-04T12:25:07.8789888Z bf171dfdd5c1: Verifying Checksum 2025-12-04T12:25:07.8790213Z bf171dfdd5c1: Download complete 2025-12-04T12:25:07.9620634Z cafc0609eaeb: Verifying Checksum 2025-12-04T12:25:07.9620999Z cafc0609eaeb: Download complete 2025-12-04T12:25:08.0477145Z f225e2997ef7: Verifying Checksum 2025-12-04T12:25:08.0477473Z f225e2997ef7: Download complete 2025-12-04T12:25:08.1327073Z 4fb17516c263: Download complete 2025-12-04T12:25:08.9173980Z 63e5bc7682b8: Pull complete 2025-12-04T12:25:08.9255466Z fa2089c2cda7: Verifying Checksum 2025-12-04T12:25:08.9255910Z fa2089c2cda7: Download complete 2025-12-04T12:25:08.9371628Z 4f4fb700ef54: Verifying Checksum 2025-12-04T12:25:08.9372052Z 4f4fb700ef54: Download complete 2025-12-04T12:25:08.9395307Z 52af53fd25c0: Pull complete 2025-12-04T12:25:09.0116564Z 2e3db6566b11: Download complete 2025-12-04T12:25:09.1061733Z 198b14aba0ec: Download complete 2025-12-04T12:25:09.1745084Z a24d7cc3af35: Verifying Checksum 2025-12-04T12:25:09.1756679Z a24d7cc3af35: Download complete 2025-12-04T12:25:09.2989699Z f8f9a354618e: Verifying Checksum 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308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:36:01.0754327Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:36:01.0842698Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T12:36:01.0843569Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T12:36:01.0857727Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:36:01.0858083Z env: 2025-12-04T12:36:01.0858297Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:36:01.0858546Z ##[endgroup] 2025-12-04T12:36:01.1073370Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-12-04T12:36:01.1073762Z with: 2025-12-04T12:36:01.1073965Z driver-version: 580.82.07 2025-12-04T12:36:01.1074202Z env: 2025-12-04T12:36:01.1074402Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:36:01.1074638Z ##[endgroup] 2025-12-04T12:36:01.1140532Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T12:36:01.1141351Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T12:36:01.1151660Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:36:01.1152013Z env: 2025-12-04T12:36:01.1152220Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:36:01.1152455Z ##[endgroup] 2025-12-04T12:36:01.1261961Z ##[group]Run set -euo pipefail 2025-12-04T12:36:01.1262264Z set -euo pipefail 2025-12-04T12:36:01.1262548Z  2025-12-04T12:36:01.1262744Z has_gpu=false 2025-12-04T12:36:01.1262981Z devices="" 2025-12-04T12:36:01.1263201Z  2025-12-04T12:36:01.1263462Z if command -v nvidia-smi >/dev/null 2>&1; then 2025-12-04T12:36:01.1263885Z  if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T12:36:01.1264246Z  has_gpu=true 2025-12-04T12:36:01.1264530Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T12:36:01.1264815Z  fi 2025-12-04T12:36:01.1265017Z fi 2025-12-04T12:36:01.1265216Z  2025-12-04T12:36:01.1265423Z if [ "$has_gpu" = false ]; then 2025-12-04T12:36:01.1265788Z  if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T12:36:01.1266147Z  has_gpu=true 2025-12-04T12:36:01.1266424Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T12:36:01.1266721Z  fi 2025-12-04T12:36:01.1266927Z fi 2025-12-04T12:36:01.1267125Z  2025-12-04T12:36:01.1267410Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then 2025-12-04T12:36:01.1267890Z  if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T12:36:01.1268274Z  has_gpu=true 2025-12-04T12:36:01.1268546Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T12:36:01.1268834Z  fi 2025-12-04T12:36:01.1269033Z fi 2025-12-04T12:36:01.1269219Z  2025-12-04T12:36:01.1269507Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT" 2025-12-04T12:36:01.1270005Z printf 'DETECTED_DEVICES<> "$GITHUB_OUTPUT" 2025-12-04T12:36:01.1278472Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:36:01.1278856Z env: 2025-12-04T12:36:01.1279075Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:36:01.1279479Z ##[endgroup] 2025-12-04T12:36:02.8723865Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T12:36:02.8724255Z if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T12:36:02.8724618Z  echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}" 2025-12-04T12:36:02.8725104Z  echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-12-04T12:36:02.8725813Z else 2025-12-04T12:36:02.8726096Z  echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}" 2025-12-04T12:36:02.8726424Z fi 2025-12-04T12:36:02.8736753Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:36:02.8737105Z env: 2025-12-04T12:36:02.8737311Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:36:02.8737552Z HAS_NVIDIA: true 2025-12-04T12:36:02.8737771Z ##[endgroup] 2025-12-04T12:36:02.8848113Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2025-12-04T12:36:02.8848493Z with: 2025-12-04T12:36:02.8848702Z timeout_minutes: 10 2025-12-04T12:36:02.8848931Z max_attempts: 3 2025-12-04T12:36:02.8872976Z 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 2025-12-04T12:36:02.8896954Z retry_wait_seconds: 10 2025-12-04T12:36:02.8897212Z polling_interval_seconds: 1 2025-12-04T12:36:02.8897469Z warning_on_retry: true 2025-12-04T12:36:02.8897724Z continue_on_error: false 2025-12-04T12:36:02.8897960Z env: 2025-12-04T12:36:02.8898157Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:36:02.8898399Z HAS_NVIDIA_GPU: true 2025-12-04T12:36:02.8898698Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T12:36:02.8899040Z DRIVER_VERSION: 580.82.07 2025-12-04T12:36:02.8899295Z ##[endgroup] 2025-12-04T12:36:03.0685624Z == Installing nvidia driver NVIDIA-Linux-x86_64-580.82.07.run == 2025-12-04T12:36:03.0686065Z + pre_install_nvidia_driver_amzn2 2025-12-04T12:36:03.0688058Z + sudo yum remove -y nvidia-driver-latest-dkms 2025-12-04T12:36:05.8001104Z No match for argument: nvidia-driver-latest-dkms 2025-12-04T12:36:05.8002243Z No packages marked for removal. 2025-12-04T12:36:05.8431063Z Dependencies resolved. 2025-12-04T12:36:05.8441129Z Nothing to do. 2025-12-04T12:36:05.8441367Z Complete! 2025-12-04T12:36:05.9447692Z + install_nvidia_driver_common 2025-12-04T12:36:05.9450040Z + echo 'Before installing NVIDIA driver' 2025-12-04T12:36:05.9450358Z + lspci 2025-12-04T12:36:05.9451855Z Before installing NVIDIA driver 2025-12-04T12:36:06.0013428Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-12-04T12:36:06.0014427Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-12-04T12:36:06.0015483Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-12-04T12:36:06.0016498Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-12-04T12:36:06.0017633Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-12-04T12:36:06.0018820Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-12-04T12:36:06.0019759Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-12-04T12:36:06.0020700Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T12:36:06.0021663Z + lsmod 2025-12-04T12:36:06.0069860Z Module Size Used by 2025-12-04T12:36:06.0070996Z nvidia_uvm 1925120 0 2025-12-04T12:36:06.0071371Z nvidia 14286848 1 nvidia_uvm 2025-12-04T12:36:06.0071693Z drm 602112 1 nvidia 2025-12-04T12:36:06.0072084Z drm_panel_orientation_quirks 32768 1 drm 2025-12-04T12:36:06.0072516Z backlight 24576 1 drm 2025-12-04T12:36:06.0072888Z i2c_core 110592 2 nvidia,drm 2025-12-04T12:36:06.0073207Z xt_conntrack 16384 1 2025-12-04T12:36:06.0073474Z nft_chain_nat 16384 3 2025-12-04T12:36:06.0073737Z xt_MASQUERADE 20480 1 2025-12-04T12:36:06.0074038Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-12-04T12:36:06.0074369Z nf_conntrack_netlink 57344 0 2025-12-04T12:36:06.0074764Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-12-04T12:36:06.0075196Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-12-04T12:36:06.0075520Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-12-04T12:36:06.0075816Z xfrm_user 57344 1 2025-12-04T12:36:06.0076076Z xfrm_algo 16384 1 xfrm_user 2025-12-04T12:36:06.0076365Z xt_addrtype 16384 2 2025-12-04T12:36:06.0076621Z nft_compat 20480 4 2025-12-04T12:36:06.0076926Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-12-04T12:36:06.0077341Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-12-04T12:36:06.0077715Z br_netfilter 36864 0 2025-12-04T12:36:06.0077994Z bridge 323584 1 br_netfilter 2025-12-04T12:36:06.0078282Z stp 16384 1 bridge 2025-12-04T12:36:06.0078569Z llc 16384 2 bridge,stp 2025-12-04T12:36:06.0078850Z overlay 167936 0 2025-12-04T12:36:06.0079094Z tls 139264 0 2025-12-04T12:36:06.0079341Z nls_ascii 16384 1 2025-12-04T12:36:06.0079595Z nls_cp437 20480 1 2025-12-04T12:36:06.0079834Z vfat 24576 1 2025-12-04T12:36:06.0080090Z fat 86016 1 vfat 2025-12-04T12:36:06.0080353Z sunrpc 700416 1 2025-12-04T12:36:06.0080599Z i8042 45056 0 2025-12-04T12:36:06.0080842Z ghash_clmulni_intel 16384 0 2025-12-04T12:36:06.0081105Z serio 28672 3 i8042 2025-12-04T12:36:06.0081377Z ena 184320 0 2025-12-04T12:36:06.0081619Z button 24576 0 2025-12-04T12:36:06.0081871Z sch_fq_codel 20480 17 2025-12-04T12:36:06.0082127Z fuse 184320 1 2025-12-04T12:36:06.0082365Z loop 36864 0 2025-12-04T12:36:06.0082614Z dm_mod 188416 0 2025-12-04T12:36:06.0082864Z configfs 57344 1 2025-12-04T12:36:06.0083107Z dmi_sysfs 20480 0 2025-12-04T12:36:06.0083357Z crc32_pclmul 16384 0 2025-12-04T12:36:06.0083611Z crc32c_intel 24576 0 2025-12-04T12:36:06.0084038Z efivarfs 24576 1 2025-12-04T12:36:06.0084293Z + modinfo nvidia 2025-12-04T12:36:06.0089862Z filename: /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-12-04T12:36:06.0090405Z import_ns: DMA_BUF 2025-12-04T12:36:06.0090654Z alias: char-major-195-* 2025-12-04T12:36:06.0090914Z version: 580.82.07 2025-12-04T12:36:06.0091158Z supported: external 2025-12-04T12:36:06.0091402Z license: Dual MIT/GPL 2025-12-04T12:36:06.0091789Z firmware: nvidia/580.82.07/gsp_tu10x.bin 2025-12-04T12:36:06.0092247Z firmware: nvidia/580.82.07/gsp_ga10x.bin 2025-12-04T12:36:06.0092681Z srcversion: BA7240A71DCF7DC6FE88C1D 2025-12-04T12:36:06.0093048Z alias: of:N*T*Cnvidia,tegra264-displayC* 2025-12-04T12:36:06.0093398Z alias: of:N*T*Cnvidia,tegra264-display 2025-12-04T12:36:06.0093744Z alias: of:N*T*Cnvidia,tegra234-displayC* 2025-12-04T12:36:06.0094088Z alias: of:N*T*Cnvidia,tegra234-display 2025-12-04T12:36:06.0094427Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-12-04T12:36:06.0094883Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-12-04T12:36:06.0095213Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-12-04T12:36:06.0095511Z depends: i2c-core,drm 2025-12-04T12:36:06.0095765Z retpoline: Y 2025-12-04T12:36:06.0095988Z name: nvidia 2025-12-04T12:36:06.0096339Z vermagic: 6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-12-04T12:36:06.0096807Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-12-04T12:36:06.0097255Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-12-04T12:36:06.0097660Z parm: NVreg_ResmanDebugLevel:int 2025-12-04T12:36:06.0097971Z parm: NVreg_RmLogonRC:int 2025-12-04T12:36:06.0098267Z parm: NVreg_ModifyDeviceFiles:int 2025-12-04T12:36:06.0098575Z parm: NVreg_DeviceFileUID:int 2025-12-04T12:36:06.0098871Z parm: NVreg_DeviceFileGID:int 2025-12-04T12:36:06.0099168Z parm: NVreg_DeviceFileMode:int 2025-12-04T12:36:06.0099527Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-12-04T12:36:06.0099910Z parm: NVreg_UsePageAttributeTable:int 2025-12-04T12:36:06.0100232Z parm: NVreg_EnablePCIeGen3:int 2025-12-04T12:36:06.0100525Z parm: NVreg_EnableMSI:int 2025-12-04T12:36:06.0100823Z parm: NVreg_EnableStreamMemOPs:int 2025-12-04T12:36:06.0101172Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-12-04T12:36:06.0101649Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-12-04T12:36:06.0102021Z parm: NVreg_EnableS0ixPowerManagement:int 2025-12-04T12:36:06.0102415Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-12-04T12:36:06.0102817Z parm: NVreg_DynamicPowerManagement:int 2025-12-04T12:36:06.0103225Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-12-04T12:36:06.0103629Z parm: NVreg_EnableGpuFirmware:int 2025-12-04T12:36:06.0103959Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-12-04T12:36:06.0104328Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-12-04T12:36:06.0104695Z parm: NVreg_EnableUserNUMAManagement:int 2025-12-04T12:36:06.0105018Z parm: NVreg_MemoryPoolSize:int 2025-12-04T12:36:06.0105334Z parm: NVreg_KMallocHeapMaxSize:int 2025-12-04T12:36:06.0105663Z parm: NVreg_VMallocHeapMaxSize:int 2025-12-04T12:36:06.0105974Z parm: NVreg_IgnoreMMIOCheck:int 2025-12-04T12:36:06.0106278Z parm: NVreg_NvLinkDisable:int 2025-12-04T12:36:06.0106621Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-12-04T12:36:06.0106974Z parm: NVreg_RegisterPCIDriver:int 2025-12-04T12:36:06.0107313Z parm: NVreg_RegisterPlatformDeviceDriver:int 2025-12-04T12:36:06.0107667Z parm: NVreg_EnableResizableBar:int 2025-12-04T12:36:06.0107999Z parm: NVreg_EnableDbgBreakpoint:int 2025-12-04T12:36:06.0108426Z parm: NVreg_EnableNonblockingOpen:int 2025-12-04T12:36:06.0108779Z parm: NVreg_CoherentGPUMemoryMode:charp 2025-12-04T12:36:06.0109120Z parm: NVreg_RegistryDwords:charp 2025-12-04T12:36:06.0109451Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-12-04T12:36:06.0109775Z parm: NVreg_RmMsg:charp 2025-12-04T12:36:06.0110059Z parm: NVreg_GpuBlacklist:charp 2025-12-04T12:36:06.0110382Z parm: NVreg_TemporaryFilePath:charp 2025-12-04T12:36:06.0110696Z parm: NVreg_ExcludedGpus:charp 2025-12-04T12:36:06.0111013Z parm: NVreg_DmaRemapPeerMmio:int 2025-12-04T12:36:06.0111340Z parm: NVreg_RmNvlinkBandwidth:charp 2025-12-04T12:36:06.0111685Z parm: NVreg_RmNvlinkBandwidthLinkCount:int 2025-12-04T12:36:06.0112029Z parm: NVreg_ImexChannelCount:int 2025-12-04T12:36:06.0112350Z parm: NVreg_CreateImexChannel0:int 2025-12-04T12:36:06.0112690Z parm: NVreg_GrdmaPciTopoCheckOverride:int 2025-12-04T12:36:06.0113023Z parm: rm_firmware_active:charp 2025-12-04T12:36:06.0113405Z + HAS_NVIDIA_DRIVER=0 2025-12-04T12:36:06.0113652Z ++ command -v nvidia-smi 2025-12-04T12:36:06.0113901Z + '[' -x /usr/bin/nvidia-smi ']' 2025-12-04T12:36:06.0114154Z + set +e 2025-12-04T12:36:06.0114469Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0 2025-12-04T12:36:07.7362185Z + INSTALLED_DRIVER_VERSION=580.82.07 2025-12-04T12:36:07.7362668Z + NVIDIA_SMI_STATUS=0 2025-12-04T12:36:07.7362916Z + '[' 0 -ne 0 ']' 2025-12-04T12:36:07.7363133Z + '[' 580.82.07 '!=' 580.82.07 ']' 2025-12-04T12:36:07.7363438Z + HAS_NVIDIA_DRIVER=1 2025-12-04T12:36:07.7363976Z + echo 'NVIDIA driver (580.82.07) has already been installed. Skipping NVIDIA driver installation' 2025-12-04T12:36:07.7364597Z + set -e 2025-12-04T12:36:07.7364818Z + '[' 1 -eq 0 ']' 2025-12-04T12:36:07.7365210Z NVIDIA driver (580.82.07) has already been installed. Skipping NVIDIA driver installation 2025-12-04T12:36:07.7366381Z + post_install_nvidia_driver_common 2025-12-04T12:36:07.7370060Z + sudo modprobe nvidia 2025-12-04T12:36:07.8330828Z + echo 'After installing NVIDIA driver' 2025-12-04T12:36:07.8331201Z + lspci 2025-12-04T12:36:07.8331484Z After installing NVIDIA driver 2025-12-04T12:36:07.8455295Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-12-04T12:36:07.8456639Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-12-04T12:36:07.8458112Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-12-04T12:36:07.8459286Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-12-04T12:36:07.8460235Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-12-04T12:36:07.8461277Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-12-04T12:36:07.8462348Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-12-04T12:36:07.8472800Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T12:36:07.8473255Z + lsmod 2025-12-04T12:36:07.8500534Z Module Size Used by 2025-12-04T12:36:07.8501337Z nvidia_uvm 1925120 0 2025-12-04T12:36:07.8502134Z nvidia 14286848 1 nvidia_uvm 2025-12-04T12:36:07.8502842Z drm 602112 1 nvidia 2025-12-04T12:36:07.8503492Z drm_panel_orientation_quirks 32768 1 drm 2025-12-04T12:36:07.8503834Z backlight 24576 1 drm 2025-12-04T12:36:07.8504123Z i2c_core 110592 2 nvidia,drm 2025-12-04T12:36:07.8504494Z xt_conntrack 16384 1 2025-12-04T12:36:07.8504836Z nft_chain_nat 16384 3 2025-12-04T12:36:07.8505185Z xt_MASQUERADE 20480 1 2025-12-04T12:36:07.8505526Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-12-04T12:36:07.8505853Z nf_conntrack_netlink 57344 0 2025-12-04T12:36:07.8506248Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-12-04T12:36:07.8506985Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-12-04T12:36:07.8507299Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-12-04T12:36:07.8507581Z xfrm_user 57344 1 2025-12-04T12:36:07.8507845Z xfrm_algo 16384 1 xfrm_user 2025-12-04T12:36:07.8508129Z xt_addrtype 16384 2 2025-12-04T12:36:07.8508375Z nft_compat 20480 4 2025-12-04T12:36:07.8508673Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-12-04T12:36:07.8509081Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-12-04T12:36:07.8509447Z br_netfilter 36864 0 2025-12-04T12:36:07.8509719Z bridge 323584 1 br_netfilter 2025-12-04T12:36:07.8510014Z stp 16384 1 bridge 2025-12-04T12:36:07.8510295Z llc 16384 2 bridge,stp 2025-12-04T12:36:07.8510573Z overlay 167936 0 2025-12-04T12:36:07.8510818Z tls 139264 0 2025-12-04T12:36:07.8511072Z nls_ascii 16384 1 2025-12-04T12:36:07.8511314Z nls_cp437 20480 1 2025-12-04T12:36:07.8511716Z vfat 24576 1 2025-12-04T12:36:07.8511968Z fat 86016 1 vfat 2025-12-04T12:36:07.8512227Z sunrpc 700416 1 2025-12-04T12:36:07.8512473Z i8042 45056 0 2025-12-04T12:36:07.8512725Z ghash_clmulni_intel 16384 0 2025-12-04T12:36:07.8512978Z serio 28672 3 i8042 2025-12-04T12:36:07.8513228Z ena 184320 0 2025-12-04T12:36:07.8513510Z button 24576 0 2025-12-04T12:36:07.8513761Z sch_fq_codel 20480 17 2025-12-04T12:36:07.8514019Z fuse 184320 1 2025-12-04T12:36:07.8514269Z loop 36864 0 2025-12-04T12:36:07.8514507Z dm_mod 188416 0 2025-12-04T12:36:07.8514753Z configfs 57344 1 2025-12-04T12:36:07.8514999Z dmi_sysfs 20480 0 2025-12-04T12:36:07.8515255Z crc32_pclmul 16384 0 2025-12-04T12:36:07.8515501Z crc32c_intel 24576 0 2025-12-04T12:36:07.8515757Z efivarfs 24576 1 2025-12-04T12:36:07.8516008Z + modinfo nvidia 2025-12-04T12:36:07.8521965Z filename: /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-12-04T12:36:07.8522626Z import_ns: DMA_BUF 2025-12-04T12:36:07.8522926Z alias: char-major-195-* 2025-12-04T12:36:07.8523190Z version: 580.82.07 2025-12-04T12:36:07.8523505Z supported: external 2025-12-04T12:36:07.8523847Z license: Dual MIT/GPL 2025-12-04T12:36:07.8524236Z firmware: nvidia/580.82.07/gsp_tu10x.bin 2025-12-04T12:36:07.8524687Z firmware: nvidia/580.82.07/gsp_ga10x.bin 2025-12-04T12:36:07.8525118Z srcversion: BA7240A71DCF7DC6FE88C1D 2025-12-04T12:36:07.8525774Z alias: of:N*T*Cnvidia,tegra264-displayC* 2025-12-04T12:36:07.8526225Z alias: of:N*T*Cnvidia,tegra264-display 2025-12-04T12:36:07.8526615Z alias: of:N*T*Cnvidia,tegra234-displayC* 2025-12-04T12:36:07.8527001Z alias: of:N*T*Cnvidia,tegra234-display 2025-12-04T12:36:07.8527347Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-12-04T12:36:07.8527674Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-12-04T12:36:07.8527999Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-12-04T12:36:07.8528307Z depends: i2c-core,drm 2025-12-04T12:36:07.8528553Z retpoline: Y 2025-12-04T12:36:07.8528762Z name: nvidia 2025-12-04T12:36:07.8529114Z vermagic: 6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-12-04T12:36:07.8529565Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-12-04T12:36:07.8530006Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-12-04T12:36:07.8530404Z parm: NVreg_ResmanDebugLevel:int 2025-12-04T12:36:07.8530704Z parm: NVreg_RmLogonRC:int 2025-12-04T12:36:07.8531001Z parm: NVreg_ModifyDeviceFiles:int 2025-12-04T12:36:07.8531471Z parm: NVreg_DeviceFileUID:int 2025-12-04T12:36:07.8531765Z parm: NVreg_DeviceFileGID:int 2025-12-04T12:36:07.8532072Z parm: NVreg_DeviceFileMode:int 2025-12-04T12:36:07.8532423Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-12-04T12:36:07.8532808Z parm: NVreg_UsePageAttributeTable:int 2025-12-04T12:36:07.8533133Z parm: NVreg_EnablePCIeGen3:int 2025-12-04T12:36:07.8533422Z parm: NVreg_EnableMSI:int 2025-12-04T12:36:07.8533720Z parm: NVreg_EnableStreamMemOPs:int 2025-12-04T12:36:07.8534076Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-12-04T12:36:07.8534467Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-12-04T12:36:07.8534832Z parm: NVreg_EnableS0ixPowerManagement:int 2025-12-04T12:36:07.8535236Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-12-04T12:36:07.8535633Z parm: NVreg_DynamicPowerManagement:int 2025-12-04T12:36:07.8536042Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-12-04T12:36:07.8536574Z parm: NVreg_EnableGpuFirmware:int 2025-12-04T12:36:07.8536910Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-12-04T12:36:07.8537265Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-12-04T12:36:07.8537635Z parm: NVreg_EnableUserNUMAManagement:int 2025-12-04T12:36:07.8537967Z parm: NVreg_MemoryPoolSize:int 2025-12-04T12:36:07.8538280Z parm: NVreg_KMallocHeapMaxSize:int 2025-12-04T12:36:07.8538600Z parm: NVreg_VMallocHeapMaxSize:int 2025-12-04T12:36:07.8538916Z parm: NVreg_IgnoreMMIOCheck:int 2025-12-04T12:36:07.8539221Z parm: NVreg_NvLinkDisable:int 2025-12-04T12:36:07.8539555Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-12-04T12:36:07.8539914Z parm: NVreg_RegisterPCIDriver:int 2025-12-04T12:36:07.8540261Z parm: NVreg_RegisterPlatformDeviceDriver:int 2025-12-04T12:36:07.8540611Z parm: NVreg_EnableResizableBar:int 2025-12-04T12:36:07.8540937Z parm: NVreg_EnableDbgBreakpoint:int 2025-12-04T12:36:07.8541277Z parm: NVreg_EnableNonblockingOpen:int 2025-12-04T12:36:07.8541715Z parm: NVreg_CoherentGPUMemoryMode:charp 2025-12-04T12:36:07.8542045Z parm: NVreg_RegistryDwords:charp 2025-12-04T12:36:07.8542395Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-12-04T12:36:07.8542724Z parm: NVreg_RmMsg:charp 2025-12-04T12:36:07.8543006Z parm: NVreg_GpuBlacklist:charp 2025-12-04T12:36:07.8543329Z parm: NVreg_TemporaryFilePath:charp 2025-12-04T12:36:07.8543651Z parm: NVreg_ExcludedGpus:charp 2025-12-04T12:36:07.8543958Z parm: NVreg_DmaRemapPeerMmio:int 2025-12-04T12:36:07.8544283Z parm: NVreg_RmNvlinkBandwidth:charp 2025-12-04T12:36:07.8544637Z parm: NVreg_RmNvlinkBandwidthLinkCount:int 2025-12-04T12:36:07.8544982Z parm: NVreg_ImexChannelCount:int 2025-12-04T12:36:07.8545309Z parm: NVreg_CreateImexChannel0:int 2025-12-04T12:36:07.8545654Z parm: NVreg_GrdmaPciTopoCheckOverride:int 2025-12-04T12:36:07.8545997Z parm: rm_firmware_active:charp 2025-12-04T12:36:07.8546269Z + set +e 2025-12-04T12:36:07.8546455Z + nvidia-smi 2025-12-04T12:36:09.3073670Z Thu Dec 4 12:36:09 2025 2025-12-04T12:36:09.3074122Z +-----------------------------------------------------------------------------------------+ 2025-12-04T12:36:09.3074616Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T12:36:09.3075090Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T12:36:09.3075577Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T12:36:09.3076095Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T12:36:09.3076511Z | | | MIG M. | 2025-12-04T12:36:09.3077170Z |=========================================+========================+======================| 2025-12-04T12:36:09.3163988Z | 0 NVIDIA A10G Off | 00000000:00:1E.0 Off | 0 | 2025-12-04T12:36:09.3164928Z | 0% 25C P0 61W / 300W | 0MiB / 23028MiB | 4% Default | 2025-12-04T12:36:09.3165729Z | | | N/A | 2025-12-04T12:36:09.3166511Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T12:36:09.3167076Z 2025-12-04T12:36:09.3167428Z +-----------------------------------------------------------------------------------------+ 2025-12-04T12:36:09.3168268Z | Processes: | 2025-12-04T12:36:09.3169135Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T12:36:09.3169969Z | ID ID Usage | 2025-12-04T12:36:09.3171044Z |=========================================================================================| 2025-12-04T12:36:09.3171871Z | No running processes found | 2025-12-04T12:36:09.3172790Z +-----------------------------------------------------------------------------------------+ 2025-12-04T12:36:09.7466925Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 2025-12-04T12:36:11.2021836Z NVIDIA A10G 2025-12-04T12:36:11.4739804Z + NVIDIA_SMI_STATUS=0 2025-12-04T12:36:11.4740100Z + '[' 0 -eq 0 ']' 2025-12-04T12:36:11.4740356Z + echo 'INFO: Ignoring allowed status 0' 2025-12-04T12:36:11.4740645Z + set -e 2025-12-04T12:36:11.4740850Z INFO: Ignoring allowed status 0 2025-12-04T12:36:11.4750586Z == Installing nvidia container toolkit for amzn2023 == 2025-12-04T12:36:11.4754030Z + sudo yum install -y yum-utils 2025-12-04T12:36:11.9645484Z Last metadata expiration check: 0:14:39 ago on Thu Dec 4 12:21:32 2025. 2025-12-04T12:36:11.9920382Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed. 2025-12-04T12:36:12.0500481Z Dependencies resolved. 2025-12-04T12:36:12.0791662Z Nothing to do. 2025-12-04T12:36:12.0792016Z Complete! 2025-12-04T12:36:12.1490229Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]] 2025-12-04T12:36:12.1490979Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T12:36:12.1491840Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T12:36:12.4202231Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T12:36:12.4721090Z + 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 2025-12-04T12:36:12.9863936Z nvidia-container-toolkit 19 kB/s | 833 B 00:00 2025-12-04T12:36:13.0705315Z Dependencies resolved. 2025-12-04T12:36:13.1118854Z ================================================================================ 2025-12-04T12:36:13.1120015Z Package Arch Version Repository Size 2025-12-04T12:36:13.1120755Z ================================================================================ 2025-12-04T12:36:13.1121336Z Downgrading: 2025-12-04T12:36:13.1122057Z libnvidia-container-tools x86_64 1.17.8-1 nvidia-container-toolkit 40 k 2025-12-04T12:36:13.1123279Z libnvidia-container1 x86_64 1.17.8-1 nvidia-container-toolkit 1.0 M 2025-12-04T12:36:13.1124730Z nvidia-container-toolkit x86_64 1.17.8-1 nvidia-container-toolkit 1.2 M 2025-12-04T12:36:13.1125442Z nvidia-container-toolkit-base x86_64 1.17.8-1 nvidia-container-toolkit 5.8 M 2025-12-04T12:36:13.1126030Z 2025-12-04T12:36:13.1126412Z Transaction Summary 2025-12-04T12:36:13.1126656Z ================================================================================ 2025-12-04T12:36:13.1126969Z Downgrade 4 Packages 2025-12-04T12:36:13.1127116Z 2025-12-04T12:36:13.1127225Z Total download size: 8.0 M 2025-12-04T12:36:13.1127485Z Downloading Packages: 2025-12-04T12:36:13.1485377Z (1/4): libnvidia-container-tools-1.17.8-1.x86_6 1.1 MB/s | 40 kB 00:00 2025-12-04T12:36:13.1850059Z (2/4): libnvidia-container1-1.17.8-1.x86_64.rpm 14 MB/s | 1.0 MB 00:00 2025-12-04T12:36:13.2372701Z (3/4): nvidia-container-toolkit-1.17.8-1.x86_64 10 MB/s | 1.2 MB 00:00 2025-12-04T12:36:13.3489921Z (4/4): nvidia-container-toolkit-base-1.17.8-1.x 29 MB/s | 5.8 MB 00:00 2025-12-04T12:36:13.3505030Z -------------------------------------------------------------------------------- 2025-12-04T12:36:13.3507818Z Total 34 MB/s | 8.0 MB 00:00 2025-12-04T12:36:13.3510686Z Running transaction check 2025-12-04T12:36:13.3632559Z Transaction check succeeded. 2025-12-04T12:36:13.3633101Z Running transaction test 2025-12-04T12:36:13.4215282Z Transaction test succeeded. 2025-12-04T12:36:13.4217613Z Running transaction 2025-12-04T12:36:14.2721450Z Preparing : 1/1 2025-12-04T12:36:14.4002830Z Downgrading : nvidia-container-toolkit-base-1.17.8-1.x86_64 1/8 2025-12-04T12:36:14.4318987Z Downgrading : libnvidia-container1-1.17.8-1.x86_64 2/8 2025-12-04T12:36:14.4980940Z Running scriptlet: libnvidia-container1-1.17.8-1.x86_64 2/8 2025-12-04T12:36:14.6219648Z Downgrading : libnvidia-container-tools-1.17.8-1.x86_64 3/8 2025-12-04T12:36:14.6341352Z Downgrading : nvidia-container-toolkit-1.17.8-1.x86_64 4/8 2025-12-04T12:36:14.7004791Z Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64 4/8 2025-12-04T12:36:14.7078786Z Running scriptlet: nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T12:36:14.7079375Z Cleanup : nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T12:36:14.7431767Z Running scriptlet: nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T12:36:14.7500248Z Running scriptlet: libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T12:36:14.7500833Z Cleanup : libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T12:36:14.7711902Z Running scriptlet: libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T12:36:14.7789497Z Running scriptlet: libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T12:36:14.7790054Z Cleanup : libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T12:36:14.7982277Z Running scriptlet: libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T12:36:14.8055579Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T12:36:14.8056261Z Cleanup : nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T12:36:14.8243628Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T12:36:14.8912129Z Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64 8/8 2025-12-04T12:36:38.6994733Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T12:36:38.6995532Z Verifying : libnvidia-container-tools-1.17.8-1.x86_64 1/8 2025-12-04T12:36:38.6996170Z Verifying : libnvidia-container-tools-1.18.1-1.x86_64 2/8 2025-12-04T12:36:38.6996697Z Verifying : libnvidia-container1-1.17.8-1.x86_64 3/8 2025-12-04T12:36:38.6997214Z Verifying : libnvidia-container1-1.18.1-1.x86_64 4/8 2025-12-04T12:36:38.6997726Z Verifying : nvidia-container-toolkit-1.17.8-1.x86_64 5/8 2025-12-04T12:36:38.6998671Z Verifying : nvidia-container-toolkit-1.18.1-1.x86_64 6/8 2025-12-04T12:36:38.6999204Z Verifying : nvidia-container-toolkit-base-1.17.8-1.x86_64 7/8 2025-12-04T12:36:38.8757104Z Verifying : nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8================================================================================ 2025-12-04T12:36:38.8758213Z WARNING: 2025-12-04T12:36:38.8758732Z A newer release of "Amazon Linux" is available. 2025-12-04T12:36:38.8759252Z 2025-12-04T12:36:38.8759440Z Available Versions: 2025-12-04T12:36:38.8759765Z 2025-12-04T12:36:38.8759944Z Version 2023.9.20250929: 2025-12-04T12:36:38.8760611Z Run the following command to upgrade to 2023.9.20250929: 2025-12-04T12:36:38.8761070Z 2025-12-04T12:36:38.8761204Z dnf upgrade --releasever=2023.9.20250929 2025-12-04T12:36:38.8761448Z 2025-12-04T12:36:38.8761538Z Release notes: 2025-12-04T12:36:38.8762005Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20250929.html 2025-12-04T12:36:38.8762463Z 2025-12-04T12:36:38.8762916Z Version 2023.9.20251014: 2025-12-04T12:36:38.8763226Z Run the following command to upgrade to 2023.9.20251014: 2025-12-04T12:36:38.8763478Z 2025-12-04T12:36:38.8763595Z dnf upgrade --releasever=2023.9.20251014 2025-12-04T12:36:38.8763800Z 2025-12-04T12:36:38.8763890Z Release notes: 2025-12-04T12:36:38.8764275Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251014.html 2025-12-04T12:36:38.8764638Z 2025-12-04T12:36:38.8764727Z Version 2023.9.20251020: 2025-12-04T12:36:38.8765029Z Run the following command to upgrade to 2023.9.20251020: 2025-12-04T12:36:38.8765269Z 2025-12-04T12:36:38.8765388Z dnf upgrade --releasever=2023.9.20251020 2025-12-04T12:36:38.8765593Z 2025-12-04T12:36:38.8765678Z Release notes: 2025-12-04T12:36:38.8766066Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251020.html 2025-12-04T12:36:38.8766426Z 2025-12-04T12:36:38.8766522Z Version 2023.9.20251027: 2025-12-04T12:36:38.8766832Z Run the following command to upgrade to 2023.9.20251027: 2025-12-04T12:36:38.8767075Z 2025-12-04T12:36:38.8767189Z dnf upgrade --releasever=2023.9.20251027 2025-12-04T12:36:38.8767401Z 2025-12-04T12:36:38.8767487Z Release notes: 2025-12-04T12:36:38.8767878Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251027.html 2025-12-04T12:36:38.8768234Z 2025-12-04T12:36:38.8768326Z Version 2023.9.20251105: 2025-12-04T12:36:38.8768632Z Run the following command to upgrade to 2023.9.20251105: 2025-12-04T12:36:38.8768886Z 2025-12-04T12:36:38.8769001Z dnf upgrade --releasever=2023.9.20251105 2025-12-04T12:36:38.8769206Z 2025-12-04T12:36:38.8769295Z Release notes: 2025-12-04T12:36:38.8769680Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251105.html 2025-12-04T12:36:38.8770040Z 2025-12-04T12:36:38.8770136Z Version 2023.9.20251110: 2025-12-04T12:36:38.8770442Z Run the following command to upgrade to 2023.9.20251110: 2025-12-04T12:36:38.8770691Z 2025-12-04T12:36:38.8770813Z dnf upgrade --releasever=2023.9.20251110 2025-12-04T12:36:38.8771018Z 2025-12-04T12:36:38.8771103Z Release notes: 2025-12-04T12:36:38.8771499Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251110.html 2025-12-04T12:36:38.8771855Z 2025-12-04T12:36:38.8771951Z Version 2023.9.20251117: 2025-12-04T12:36:38.8772253Z Run the following command to upgrade to 2023.9.20251117: 2025-12-04T12:36:38.8772505Z 2025-12-04T12:36:38.8772620Z dnf upgrade --releasever=2023.9.20251117 2025-12-04T12:36:38.8772831Z 2025-12-04T12:36:38.8772915Z Release notes: 2025-12-04T12:36:38.8773308Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251117.html 2025-12-04T12:36:38.8773663Z 2025-12-04T12:36:38.8773780Z ================================================================================ 2025-12-04T12:36:38.9336685Z 2025-12-04T12:36:38.9336906Z 2025-12-04T12:36:38.9337027Z Downgraded: 2025-12-04T12:36:38.9337464Z libnvidia-container-tools-1.17.8-1.x86_64 2025-12-04T12:36:38.9338005Z libnvidia-container1-1.17.8-1.x86_64 2025-12-04T12:36:38.9338606Z nvidia-container-toolkit-1.17.8-1.x86_64 2025-12-04T12:36:38.9339308Z nvidia-container-toolkit-base-1.17.8-1.x86_64 2025-12-04T12:36:38.9339757Z 2025-12-04T12:36:38.9339881Z Complete! 2025-12-04T12:36:39.0094646Z + sudo systemctl restart docker 2025-12-04T12:36:47.7693703Z Thu Dec 4 12:36:47 2025 2025-12-04T12:36:47.7694162Z +-----------------------------------------------------------------------------------------+ 2025-12-04T12:36:47.7694736Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T12:36:47.7695327Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T12:36:47.7696187Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T12:36:47.7696707Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T12:36:47.7697137Z | | | MIG M. | 2025-12-04T12:36:47.7697479Z |=========================================+========================+======================| 2025-12-04T12:36:47.7791344Z | 0 NVIDIA A10G On | 00000000:00:1E.0 Off | 0 | 2025-12-04T12:36:47.7791892Z | 0% 24C P0 55W / 300W | 0MiB / 23028MiB | 4% Default | 2025-12-04T12:36:47.7792276Z | | | N/A | 2025-12-04T12:36:47.7792673Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T12:36:47.7792984Z 2025-12-04T12:36:47.7793320Z +-----------------------------------------------------------------------------------------+ 2025-12-04T12:36:47.7793756Z | Processes: | 2025-12-04T12:36:47.7794191Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T12:36:47.7794598Z | ID ID Usage | 2025-12-04T12:36:47.7794942Z |=========================================================================================| 2025-12-04T12:36:47.7797267Z | No running processes found | 2025-12-04T12:36:47.7797740Z +-----------------------------------------------------------------------------------------+ 2025-12-04T12:36:47.9517178Z Unable to find image 'public.ecr.aws/docker/library/python:3.13' locally 2025-12-04T12:36:48.1849315Z 3.13: Pulling from docker/library/python 2025-12-04T12:36:48.2666343Z 53c88f1dfeb7: Pulling fs layer 2025-12-04T12:36:48.2666663Z eae668646f44: Pulling fs layer 2025-12-04T12:36:48.2666931Z ff2e6e687b6c: Pulling fs layer 2025-12-04T12:36:48.2667200Z 7c40a3faff76: Pulling fs layer 2025-12-04T12:36:48.2667466Z 967a3b1c8fef: Pulling fs layer 2025-12-04T12:36:48.2667730Z a64e1a44f22a: Pulling fs layer 2025-12-04T12:36:48.2668012Z 52655f8a5bcc: Pulling fs layer 2025-12-04T12:36:48.2668265Z 967a3b1c8fef: Waiting 2025-12-04T12:36:48.2668497Z 7c40a3faff76: Waiting 2025-12-04T12:36:48.2668715Z a64e1a44f22a: Waiting 2025-12-04T12:36:48.2668943Z 52655f8a5bcc: Waiting 2025-12-04T12:36:48.3728799Z eae668646f44: Verifying Checksum 2025-12-04T12:36:48.3729110Z eae668646f44: Download complete 2025-12-04T12:36:48.4538808Z 53c88f1dfeb7: Verifying Checksum 2025-12-04T12:36:48.4539100Z 53c88f1dfeb7: Download complete 2025-12-04T12:36:48.5187799Z ff2e6e687b6c: Verifying Checksum 2025-12-04T12:36:48.5188766Z ff2e6e687b6c: Download complete 2025-12-04T12:36:48.5213268Z 967a3b1c8fef: Verifying Checksum 2025-12-04T12:36:48.5213718Z 967a3b1c8fef: Download complete 2025-12-04T12:36:48.5516854Z 52655f8a5bcc: Download complete 2025-12-04T12:36:48.6270477Z a64e1a44f22a: Verifying Checksum 2025-12-04T12:36:48.6270912Z a64e1a44f22a: Download complete 2025-12-04T12:36:49.0788397Z 7c40a3faff76: Verifying Checksum 2025-12-04T12:36:49.0788836Z 7c40a3faff76: Download complete 2025-12-04T12:36:50.2686951Z 53c88f1dfeb7: Pull complete 2025-12-04T12:36:51.0009837Z eae668646f44: Pull complete 2025-12-04T12:36:53.5314603Z ff2e6e687b6c: Pull complete 2025-12-04T12:37:00.3120913Z 7c40a3faff76: Pull complete 2025-12-04T12:37:00.6068045Z 967a3b1c8fef: Pull complete 2025-12-04T12:37:01.3642864Z a64e1a44f22a: Pull complete 2025-12-04T12:37:01.3886228Z 52655f8a5bcc: Pull complete 2025-12-04T12:37:01.4023237Z Digest: sha256:3f986299a7b8b44b0d8cf9bda2b22361ce5c3058ef5d7cb17fb7452506680ab0 2025-12-04T12:37:01.4065298Z Status: Downloaded newer image for public.ecr.aws/docker/library/python:3.13 2025-12-04T12:37:08.6130095Z Thu Dec 4 12:37:08 2025 2025-12-04T12:37:08.6130872Z +-----------------------------------------------------------------------------------------+ 2025-12-04T12:37:08.6131372Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T12:37:08.6131851Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T12:37:08.6132344Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T12:37:08.6132869Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T12:37:08.6133308Z | | | MIG M. | 2025-12-04T12:37:08.6133657Z |=========================================+========================+======================| 2025-12-04T12:37:08.6277910Z | 0 NVIDIA A10G On | 00000000:00:1E.0 Off | 0 | 2025-12-04T12:37:08.6278390Z | 0% 21C P8 10W / 300W | 0MiB / 23028MiB | 0% Default | 2025-12-04T12:37:08.6278769Z | | | N/A | 2025-12-04T12:37:08.6279163Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T12:37:08.6283274Z 2025-12-04T12:37:08.6283491Z +-----------------------------------------------------------------------------------------+ 2025-12-04T12:37:08.6283952Z | Processes: | 2025-12-04T12:37:08.6284404Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T12:37:08.6284823Z | ID ID Usage | 2025-12-04T12:37:08.6285166Z |=========================================================================================| 2025-12-04T12:37:08.6289626Z | No running processes found | 2025-12-04T12:37:08.6298930Z +-----------------------------------------------------------------------------------------+ 2025-12-04T12:37:10.0230418Z Command completed after 1 attempt(s). 2025-12-04T12:37:10.0339774Z Prepare all required actions 2025-12-04T12:37:10.0368472Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-12-04T12:37:10.0368777Z with: 2025-12-04T12:37:10.0369403Z github-token: *** 2025-12-04T12:37:10.0369624Z env: 2025-12-04T12:37:10.0369823Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:37:10.0370097Z HAS_NVIDIA_GPU: true 2025-12-04T12:37:10.0370429Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T12:37:10.0370802Z ##[endgroup] 2025-12-04T12:37:10.0385703Z ##[group]Run set -eux 2025-12-04T12:37:10.0385975Z set -eux 2025-12-04T12:37:10.0386379Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T12:37:10.0401902Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:37:10.0402299Z env: 2025-12-04T12:37:10.0402516Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:37:10.0402790Z HAS_NVIDIA_GPU: true 2025-12-04T12:37:10.0403163Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T12:37:10.0403621Z GITHUB_TOKEN: *** 2025-12-04T12:37:10.0403855Z ##[endgroup] 2025-12-04T12:37:10.0445517Z + python3 .github/scripts/get_workflow_job_id.py 19923066595 i-031925788cb327f24 2025-12-04T12:37:16.3873725Z Setting output job-id=57134750733 2025-12-04T12:37:16.3874409Z Setting output job-name=periodic-dynamo-benchmarks-test-cuda13 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-12-04T12:37:16.3992686Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T12:37:16.3993358Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T12:37:16.3994239Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-12-04T12:37:16.3995003Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-12-04T12:37:16.4005635Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:37:16.4005987Z env: 2025-12-04T12:37:16.4006195Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:37:16.4006446Z HAS_NVIDIA_GPU: true 2025-12-04T12:37:16.4006755Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T12:37:16.4007094Z JOB_ID: 57134750733 2025-12-04T12:37:16.4007683Z JOB_NAME: periodic-dynamo-benchmarks-test-cuda13 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-12-04T12:37:16.4008305Z WORKFLOW_NAME: inductor-periodic 2025-12-04T12:37:16.4008590Z WORKFLOW_RUN_ID: 19923066595 2025-12-04T12:37:16.4008863Z MONITOR_LOG_INTERVAL: 5 2025-12-04T12:37:16.4009135Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-12-04T12:37:16.4009409Z ##[endgroup] 2025-12-04T12:37:16.8542823Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T12:37:17.2754631Z Collecting psutil==5.9.8 2025-12-04T12:37:17.2938018Z 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) 2025-12-04T12:37:17.3767827Z Collecting dataclasses_json==0.6.7 2025-12-04T12:37:17.3810051Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-12-04T12:37:17.4114902Z Collecting nvidia-ml-py==11.525.84 2025-12-04T12:37:17.4155278Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-12-04T12:37:17.5453946Z Collecting marshmallow<4.0.0,>=3.18.0 2025-12-04T12:37:17.5494065Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-12-04T12:37:17.5742517Z Collecting typing-inspect<1,>=0.4.0 2025-12-04T12:37:17.5826736Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-12-04T12:37:17.6414600Z Collecting packaging>=17.0 2025-12-04T12:37:17.6455201Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-12-04T12:37:17.6704004Z Collecting mypy-extensions>=0.3.0 2025-12-04T12:37:17.6742954Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-12-04T12:37:17.7268477Z Collecting typing-extensions>=3.7.4 2025-12-04T12:37:17.7312651Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-12-04T12:37:17.8229326Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-12-04T12:37:18.0983761Z 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 2025-12-04T12:37:18.2962898Z Prepare all required actions 2025-12-04T12:37:18.2963245Z Getting action download info 2025-12-04T12:37:18.4764844Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T12:37:18.7174501Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-12-04T12:37:19.0776672Z ##[group]Run ./.github/actions/download-build-artifacts 2025-12-04T12:37:19.0777040Z with: 2025-12-04T12:37:19.0777386Z name: linux-jammy-cuda13.0-py3.10-gcc11-sm86 2025-12-04T12:37:19.0777734Z s3-bucket: gha-artifacts 2025-12-04T12:37:19.0777974Z env: 2025-12-04T12:37:19.0778172Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:37:19.0778485Z HAS_NVIDIA_GPU: true 2025-12-04T12:37:19.0778864Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T12:37:19.0779197Z ##[endgroup] 2025-12-04T12:37:19.0810504Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T12:37:19.0810822Z with: 2025-12-04T12:37:19.0811105Z name: linux-jammy-cuda13.0-py3.10-gcc11-sm86 2025-12-04T12:37:19.0811425Z s3-bucket: gha-artifacts 2025-12-04T12:37:19.0811683Z region: us-east-1 2025-12-04T12:37:19.0811907Z env: 2025-12-04T12:37:19.0812112Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:37:19.0812358Z HAS_NVIDIA_GPU: true 2025-12-04T12:37:19.0812658Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T12:37:19.0812979Z ##[endgroup] 2025-12-04T12:37:19.5583024Z (node:59763) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T12:37:19.5583558Z 2025-12-04T12:37:19.5583764Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T12:37:19.5584329Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T12:37:19.5584930Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T12:37:19.8056475Z Found 1 objects with prefix pytorch/pytorch/19923066595/linux-jammy-cuda13.0-py3.10-gcc11-sm86/ 2025-12-04T12:37:19.8057838Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T12:37:27.7285524Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T12:37:27.7290919Z Artifact download has finished successfully 2025-12-04T12:37:27.7748739Z ##[group]Run unzip -o artifacts.zip 2025-12-04T12:37:27.7749065Z unzip -o artifacts.zip 2025-12-04T12:37:27.7758978Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:37:27.7759326Z env: 2025-12-04T12:37:27.7759533Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:37:27.7759784Z HAS_NVIDIA_GPU: true 2025-12-04T12:37:27.7760080Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T12:37:27.7760413Z ##[endgroup] 2025-12-04T12:37:27.7835013Z Archive: artifacts.zip 2025-12-04T12:37:27.7836610Z creating: dist/ 2025-12-04T12:37:30.0388530Z inflating: dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl 2025-12-04T12:37:30.0389014Z creating: dist/vision/ 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2025-12-04T12:37:38.2413240Z inflating: build/bin/test_cpp_rpc 2025-12-04T12:37:38.3631968Z inflating: build/bin/test_api 2025-12-04T12:37:38.3709694Z inflating: build/bin/test_aoti_inference 2025-12-04T12:37:38.3712484Z inflating: build/bin/parallel_benchmark 2025-12-04T12:37:38.3713188Z creating: .additional_ci_files/ 2025-12-04T12:37:38.3778373Z inflating: .additional_ci_files/test-times.json 2025-12-04T12:37:38.4016718Z inflating: .additional_ci_files/test-class-times.json 2025-12-04T12:37:38.4072496Z ##[group]Run rm artifacts.zip 2025-12-04T12:37:38.4072786Z rm artifacts.zip 2025-12-04T12:37:38.4085180Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:37:38.4085538Z env: 2025-12-04T12:37:38.4085745Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:37:38.4086015Z HAS_NVIDIA_GPU: true 2025-12-04T12:37:38.4086326Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T12:37:38.4086673Z ##[endgroup] 2025-12-04T12:37:38.5610280Z ##[group]Run df -H 2025-12-04T12:37:38.5610521Z df -H 2025-12-04T12:37:38.5619557Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:37:38.5619915Z env: 2025-12-04T12:37:38.5620124Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:37:38.5620384Z HAS_NVIDIA_GPU: true 2025-12-04T12:37:38.5620707Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T12:37:38.5621038Z ##[endgroup] 2025-12-04T12:37:38.5881167Z Filesystem Size Used Avail Use% Mounted on 2025-12-04T12:37:38.5881705Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-12-04T12:37:38.5882110Z tmpfs 34G 0 34G 0% /dev/shm 2025-12-04T12:37:38.5882514Z tmpfs 14G 562k 14G 1% /run 2025-12-04T12:37:38.5882887Z /dev/nvme0n1p1 161G 79G 83G 49% / 2025-12-04T12:37:38.5883188Z tmpfs 34G 17k 34G 1% /tmp 2025-12-04T12:37:38.5883509Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-12-04T12:37:38.5883845Z tmpfs 6.7G 0 6.7G 0% /run/user/0 2025-12-04T12:37:38.5974112Z Prepare all required actions 2025-12-04T12:37:38.5975081Z Getting action download info 2025-12-04T12:37:38.7647249Z ##[group]Run ./.github/actions/download-td-artifacts 2025-12-04T12:37:38.7647568Z with: 2025-12-04T12:37:38.7647756Z env: 2025-12-04T12:37:38.7647957Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:37:38.7648207Z HAS_NVIDIA_GPU: true 2025-12-04T12:37:38.7648503Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T12:37:38.7648820Z ##[endgroup] 2025-12-04T12:37:38.7735644Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T12:37:38.7735957Z with: 2025-12-04T12:37:38.7736151Z name: td_results 2025-12-04T12:37:38.7736381Z s3-bucket: gha-artifacts 2025-12-04T12:37:38.7736633Z region: us-east-1 2025-12-04T12:37:38.7736834Z env: 2025-12-04T12:37:38.7737034Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:37:38.7737285Z HAS_NVIDIA_GPU: true 2025-12-04T12:37:38.7737595Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T12:37:38.7737977Z ##[endgroup] 2025-12-04T12:37:39.2804458Z (node:59785) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T12:37:39.2804918Z 2025-12-04T12:37:39.2805100Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T12:37:39.2805595Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T12:37:39.2806098Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T12:37:39.3742667Z Found 0 objects with prefix pytorch/pytorch/19923066595/td_results/ 2025-12-04T12:37:39.3748732Z Artifact download has finished successfully 2025-12-04T12:37:39.4109201Z ##[group]Run mkdir -p .additional_ci_files 2025-12-04T12:37:39.4109561Z mkdir -p .additional_ci_files 2025-12-04T12:37:39.4109972Z mv td_results.json .additional_ci_files/td_results.json || true 2025-12-04T12:37:39.4121145Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:37:39.4121485Z env: 2025-12-04T12:37:39.4121704Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:37:39.4121956Z HAS_NVIDIA_GPU: true 2025-12-04T12:37:39.4122254Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T12:37:39.4122592Z ##[endgroup] 2025-12-04T12:37:39.4614862Z mv: cannot stat 'td_results.json': No such file or directory 2025-12-04T12:37:39.4705446Z ##[group]Run .github/scripts/parse_ref.py 2025-12-04T12:37:39.4705802Z .github/scripts/parse_ref.py 2025-12-04T12:37:39.4714372Z shell: /usr/bin/bash -e {0} 2025-12-04T12:37:39.4714790Z env: 2025-12-04T12:37:39.4714996Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:37:39.4715248Z HAS_NVIDIA_GPU: true 2025-12-04T12:37:39.4715547Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T12:37:39.4715894Z ##[endgroup] 2025-12-04T12:37:39.5195485Z Setting output branch=main 2025-12-04T12:37:39.5338454Z Prepare all required actions 2025-12-04T12:37:39.5338802Z Getting action download info 2025-12-04T12:37:39.6680302Z ##[group]Run ./.github/actions/filter-test-configs 2025-12-04T12:37:39.6680618Z with: 2025-12-04T12:37:39.6680979Z github-token: *** 2025-12-04T12:37:39.6688561Z test-matrix: {"include": [{"config": "dynamo_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamo_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamo_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamo_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamo_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.aws.a100"}, {"config": "aot_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]} 2025-12-04T12:37:39.6696650Z job-name: periodic-dynamo-benchmarks-test-cuda13 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-12-04T12:37:39.6697233Z env: 2025-12-04T12:37:39.6697433Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:37:39.6697681Z HAS_NVIDIA_GPU: true 2025-12-04T12:37:39.6697973Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T12:37:39.6698306Z ##[endgroup] 2025-12-04T12:37:39.6802877Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T12:37:39.6803147Z with: 2025-12-04T12:37:39.6803346Z shell: bash 2025-12-04T12:37:39.6803563Z timeout_minutes: 10 2025-12-04T12:37:39.6803793Z max_attempts: 5 2025-12-04T12:37:39.6804013Z retry_wait_seconds: 30 2025-12-04T12:37:39.6804889Z 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 2025-12-04T12:37:39.6805645Z polling_interval_seconds: 1 2025-12-04T12:37:39.6805914Z warning_on_retry: true 2025-12-04T12:37:39.6806337Z continue_on_error: false 2025-12-04T12:37:39.6806592Z env: 2025-12-04T12:37:39.6806816Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:37:39.6807103Z HAS_NVIDIA_GPU: true 2025-12-04T12:37:39.6807412Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T12:37:39.6807888Z GITHUB_TOKEN: *** 2025-12-04T12:37:39.6808109Z ##[endgroup] 2025-12-04T12:37:39.8559693Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T12:37:40.1705471Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T12:37:40.3206355Z Collecting requests==2.27.1 2025-12-04T12:37:40.3372781Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-12-04T12:37:40.5698455Z Collecting pyyaml==6.0.2 2025-12-04T12:37:40.5738651Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-12-04T12:37:41.0906040Z Collecting charset-normalizer~=2.0.0 2025-12-04T12:37:41.0946595Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-12-04T12:37:41.1002109Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-12-04T12:37:41.1006558Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-12-04T12:37:41.1534064Z Collecting certifi>=2017.4.17 2025-12-04T12:37:41.1571706Z Downloading certifi-2025.11.12-py3-none-any.whl (159 kB) 2025-12-04T12:37:41.2465967Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-12-04T12:37:41.3715664Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-12-04T12:37:41.8307401Z Command completed after 1 attempt(s). 2025-12-04T12:37:41.8379427Z ##[group]Run set -x 2025-12-04T12:37:41.8379660Z set -x 2025-12-04T12:37:41.8379877Z  2025-12-04T12:37:41.8380232Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T12:37:41.8380681Z # in runner workspace 2025-12-04T12:37:41.8381156Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-12-04T12:37:41.8391149Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:37:41.8391503Z env: 2025-12-04T12:37:41.8391711Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:37:41.8391969Z HAS_NVIDIA_GPU: true 2025-12-04T12:37:41.8392276Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T12:37:41.8392609Z ##[endgroup] 2025-12-04T12:37:41.8424647Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-12-04T12:37:41.8611630Z Setting output branch=main 2025-12-04T12:37:41.8678367Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T12:37:41.8678773Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T12:37:41.8679097Z echo "Job name: ${JOB_NAME}" 2025-12-04T12:37:41.8679419Z  2025-12-04T12:37:41.8679793Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T12:37:41.8680248Z # in runner workspace 2025-12-04T12:37:41.8680655Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-12-04T12:37:41.8681113Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-12-04T12:37:41.8681442Z  --job-name "${JOB_NAME}" \ 2025-12-04T12:37:41.8689442Z  --test-matrix "{"include": [{"config": "dynamo_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamo_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamo_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamo_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamo_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.aws.a100"}, {"config": "aot_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]}" \ 2025-12-04T12:37:41.8697452Z  --selected-test-configs "" \ 2025-12-04T12:37:41.8697773Z  --pr-number "${PR_NUMBER}" \ 2025-12-04T12:37:41.8698075Z  --tag "${TAG}" \ 2025-12-04T12:37:41.8698357Z  --event-name "${EVENT_NAME}" \ 2025-12-04T12:37:41.8698661Z  --schedule "${SCHEDULE}" \ 2025-12-04T12:37:41.8698964Z  --branch "${HEAD_BRANCH}" 2025-12-04T12:37:41.8708194Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:37:41.8708545Z env: 2025-12-04T12:37:41.8708760Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:37:41.8709027Z HAS_NVIDIA_GPU: true 2025-12-04T12:37:41.8709336Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T12:37:41.8709861Z GITHUB_TOKEN: *** 2025-12-04T12:37:41.8710426Z JOB_NAME: periodic-dynamo-benchmarks-test-cuda13 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-12-04T12:37:41.8711034Z PR_NUMBER: 2025-12-04T12:37:41.8711248Z TAG: 2025-12-04T12:37:41.8711456Z EVENT_NAME: schedule 2025-12-04T12:37:41.8711710Z SCHEDULE: 45 0,4,8,12,16,20 * * 1-5 2025-12-04T12:37:41.8711989Z HEAD_BRANCH: main 2025-12-04T12:37:41.8712213Z ##[endgroup] 2025-12-04T12:37:41.8742208Z Workflow: inductor-periodic 2025-12-04T12:37:41.8742822Z Job name: periodic-dynamo-benchmarks-test-cuda13 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-12-04T12:37:42.0837727Z Setting output keep-going=True 2025-12-04T12:37:42.0838085Z Setting output ci-verbose-test-logs=False 2025-12-04T12:37:42.0838425Z Setting output ci-test-showlocals=False 2025-12-04T12:37:42.0839021Z Setting output ci-no-test-timeout=False 2025-12-04T12:37:42.0839323Z Setting output ci-no-td=False 2025-12-04T12:37:42.0839604Z Setting output ci-td-distributed=False 2025-12-04T12:37:42.0839915Z Setting output is-unstable=False 2025-12-04T12:37:42.0840201Z Setting output reenabled-issues= 2025-12-04T12:37:42.0848151Z Setting output test-matrix={"include": [{"config": "dynamo_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamo_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamo_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamo_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamo_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.aws.a100"}, {"config": "aot_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]} 2025-12-04T12:37:42.0856072Z Setting output is-test-matrix-empty=False 2025-12-04T12:37:42.0959986Z ##[group]Run echo "Filtered matrix:" 2025-12-04T12:37:42.0960313Z echo "Filtered matrix:" 2025-12-04T12:37:42.0968167Z echo "{"include": [{"config": "dynamo_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamo_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamo_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamo_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamo_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_aot_eager_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "dynamic_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.aws.a100"}, {"config": "aot_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "aot_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]}" 2025-12-04T12:37:42.0976112Z  2025-12-04T12:37:42.0976311Z echo 2025-12-04T12:37:42.0976579Z echo "Is the current job unstable? False" 2025-12-04T12:37:42.0976900Z  2025-12-04T12:37:42.0977098Z echo 2025-12-04T12:37:42.0977343Z echo "Is keep-going label set? True" 2025-12-04T12:37:42.0977650Z  2025-12-04T12:37:42.0977835Z echo 2025-12-04T12:37:42.0978063Z echo "Reenabled issues? " 2025-12-04T12:37:42.0987062Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:37:42.0987411Z env: 2025-12-04T12:37:42.0987618Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:37:42.0987870Z HAS_NVIDIA_GPU: true 2025-12-04T12:37:42.0988164Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T12:37:42.0988500Z ##[endgroup] 2025-12-04T12:37:42.1019644Z Filtered matrix: 2025-12-04T12:37:42.1029654Z {include: [{config: dynamo_eager_torchbench, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: dynamo_eager_torchbench, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: dynamo_eager_huggingface, shard: 1, num_shards: 1, runner: linux.g5.4xlarge.nvidia.gpu}, {config: dynamo_eager_timm, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: dynamo_eager_timm, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: aot_eager_torchbench, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: aot_eager_torchbench, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: aot_eager_huggingface, shard: 1, num_shards: 1, runner: linux.g5.4xlarge.nvidia.gpu}, {config: aot_eager_timm, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: aot_eager_timm, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: dynamic_aot_eager_torchbench, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: dynamic_aot_eager_torchbench, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: dynamic_aot_eager_huggingface, shard: 1, num_shards: 1, runner: linux.g5.4xlarge.nvidia.gpu}, {config: dynamic_aot_eager_timm, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: dynamic_aot_eager_timm, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: dynamic_inductor_huggingface, shard: 1, num_shards: 1, runner: linux.g5.4xlarge.nvidia.gpu}, {config: dynamic_inductor_timm, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: dynamic_inductor_timm, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: dynamic_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: dynamic_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: aot_inductor_huggingface, shard: 1, num_shards: 1, runner: linux.aws.a100}, {config: aot_inductor_timm, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: aot_inductor_timm, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: aot_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: aot_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}]} 2025-12-04T12:37:42.1037304Z 2025-12-04T12:37:42.1037414Z Is the current job unstable? False 2025-12-04T12:37:42.1037628Z 2025-12-04T12:37:42.1037742Z Is keep-going label set? True 2025-12-04T12:37:42.1037949Z 2025-12-04T12:37:42.1038040Z Reenabled issues? 2025-12-04T12:37:42.1069042Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T12:37:42.1069525Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T12:37:42.1078341Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:37:42.1078827Z env: 2025-12-04T12:37:42.1079082Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:37:42.1079330Z HAS_NVIDIA_GPU: true 2025-12-04T12:37:42.1079623Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T12:37:42.1079960Z JOB_TIMEOUT: 240 2025-12-04T12:37:42.1080185Z ##[endgroup] 2025-12-04T12:37:42.1135688Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T12:37:42.1136196Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T12:37:42.1136619Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T12:37:42.1145735Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T12:37:42.1146094Z env: 2025-12-04T12:37:42.1146309Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:37:42.1146567Z HAS_NVIDIA_GPU: true 2025-12-04T12:37:42.1146867Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T12:37:42.1147211Z ##[endgroup] 2025-12-04T12:37:42.1270865Z ##[group]Run set -x 2025-12-04T12:37:42.1271184Z set -x 2025-12-04T12:37:42.1271381Z  2025-12-04T12:37:42.1271614Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-12-04T12:37:42.1271979Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-12-04T12:37:42.1272343Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-12-04T12:37:42.1272681Z  TEST_COMMAND=.ci/onnx/test.sh 2025-12-04T12:37:42.1272972Z else 2025-12-04T12:37:42.1273209Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T12:37:42.1273487Z fi 2025-12-04T12:37:42.1273680Z  2025-12-04T12:37:42.1273925Z # Leaving 1GB for the runner and other things 2025-12-04T12:37:42.1274445Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-12-04T12:37:42.1275225Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-12-04T12:37:42.1275881Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-12-04T12:37:42.1276373Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-12-04T12:37:42.1276762Z  2025-12-04T12:37:42.1277020Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T12:37:42.1277333Z  SHM_OPTS= 2025-12-04T12:37:42.1277740Z  JENKINS_USER= 2025-12-04T12:37:42.1278079Z  # ensure that docker container cleanly exits in 12 hours 2025-12-04T12:37:42.1278552Z  # if for some reason cleanup action doesn't stop container 2025-12-04T12:37:42.1278954Z  # when job is cancelled 2025-12-04T12:37:42.1279249Z  DOCKER_SHELL_CMD="sleep 12h" 2025-12-04T12:37:42.1279572Z  USED_IMAGE="${DOCKER_IMAGE_S390X}" 2025-12-04T12:37:42.1279867Z else 2025-12-04T12:37:42.1280119Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-12-04T12:37:42.1280448Z  JENKINS_USER="--user jenkins" 2025-12-04T12:37:42.1280742Z  DOCKER_SHELL_CMD= 2025-12-04T12:37:42.1281024Z  USED_IMAGE="${DOCKER_IMAGE}" 2025-12-04T12:37:42.1281307Z fi 2025-12-04T12:37:42.1281502Z  2025-12-04T12:37:42.1281817Z # detached container should get cleaned up by teardown_ec2_linux 2025-12-04T12:37:42.1282300Z # TODO: Stop building test binaries as part of the build phase 2025-12-04T12:37:42.1282868Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-12-04T12:37:42.1283350Z # shellcheck disable=SC2086,SC2090 2025-12-04T12:37:42.1283667Z container_name=$(docker run \ 2025-12-04T12:37:42.1283957Z  ${GPU_FLAG:-} \ 2025-12-04T12:37:42.1284245Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-12-04T12:37:42.1284571Z  -e BUILD_ENVIRONMENT \ 2025-12-04T12:37:42.1284857Z  -e PR_NUMBER \ 2025-12-04T12:37:42.1285118Z  -e GITHUB_ACTIONS \ 2025-12-04T12:37:42.1285387Z  -e GITHUB_REPOSITORY \ 2025-12-04T12:37:42.1285668Z  -e GITHUB_WORKFLOW \ 2025-12-04T12:37:42.1285940Z  -e GITHUB_JOB \ 2025-12-04T12:37:42.1286196Z  -e GITHUB_RUN_ID \ 2025-12-04T12:37:42.1286464Z  -e GITHUB_RUN_NUMBER \ 2025-12-04T12:37:42.1286748Z  -e GITHUB_RUN_ATTEMPT \ 2025-12-04T12:37:42.1287015Z  -e JOB_ID \ 2025-12-04T12:37:42.1287257Z  -e JOB_NAME \ 2025-12-04T12:37:42.1287499Z  -e BASE_SHA \ 2025-12-04T12:37:42.1287742Z  -e BRANCH \ 2025-12-04T12:37:42.1287972Z  -e SHA1 \ 2025-12-04T12:37:42.1288211Z  -e AWS_DEFAULT_REGION \ 2025-12-04T12:37:42.1288500Z  -e IN_WHEEL_TEST \ 2025-12-04T12:37:42.1288754Z  -e SHARD_NUMBER \ 2025-12-04T12:37:42.1289018Z  -e TEST_CONFIG \ 2025-12-04T12:37:42.1289284Z  -e NUM_TEST_SHARDS \ 2025-12-04T12:37:42.1289675Z  -e REENABLED_ISSUES \ 2025-12-04T12:37:42.1289971Z  -e CONTINUE_THROUGH_ERROR \ 2025-12-04T12:37:42.1290274Z  -e VERBOSE_TEST_LOGS \ 2025-12-04T12:37:42.1290554Z  -e TEST_SHOWLOCALS \ 2025-12-04T12:37:42.1290833Z  -e NO_TEST_TIMEOUT \ 2025-12-04T12:37:42.1291102Z  -e NO_TD \ 2025-12-04T12:37:42.1291354Z  -e TD_DISTRIBUTED \ 2025-12-04T12:37:42.1291620Z  -e PR_LABELS \ 2025-12-04T12:37:42.1291907Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-12-04T12:37:42.1292238Z  -e SCCACHE_BUCKET \ 2025-12-04T12:37:42.1292508Z  -e SCCACHE_REGION \ 2025-12-04T12:37:42.1292786Z  -e XLA_CUDA \ 2025-12-04T12:37:42.1293084Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-12-04T12:37:42.1293434Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-12-04T12:37:42.1293790Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-12-04T12:37:42.1294160Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-12-04T12:37:42.1294494Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-12-04T12:37:42.1294817Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-12-04T12:37:42.1295160Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-12-04T12:37:42.1295476Z  -e DASHBOARD_TAG \ 2025-12-04T12:37:42.1295753Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-12-04T12:37:42.1296113Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-12-04T12:37:42.1296610Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-12-04T12:37:42.1297010Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-12-04T12:37:42.1297384Z  --security-opt seccomp=unconfined \ 2025-12-04T12:37:42.1297719Z  --cap-add=SYS_PTRACE \ 2025-12-04T12:37:42.1298045Z  --ipc=host \ 2025-12-04T12:37:42.1298288Z  ${SHM_OPTS} \ 2025-12-04T12:37:42.1298545Z  --tty \ 2025-12-04T12:37:42.1298775Z  --detach \ 2025-12-04T12:37:42.1299039Z  --name="${container_name}" \ 2025-12-04T12:37:42.1299343Z  ${JENKINS_USER} \ 2025-12-04T12:37:42.1299692Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-12-04T12:37:42.1300088Z  -w /var/lib/jenkins/workspace \ 2025-12-04T12:37:42.1300385Z  "${USED_IMAGE}" \ 2025-12-04T12:37:42.1300663Z  ${DOCKER_SHELL_CMD} 2025-12-04T12:37:42.1300950Z ) 2025-12-04T12:37:42.1301273Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-12-04T12:37:42.1301735Z  2025-12-04T12:37:42.1302000Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T12:37:42.1302538Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-12-04T12:37:42.1303027Z fi 2025-12-04T12:37:42.1303247Z  2025-12-04T12:37:42.1303721Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-12-04T12:37:42.1312861Z shell: /usr/bin/bash -e {0} 2025-12-04T12:37:42.1313118Z env: 2025-12-04T12:37:42.1313328Z GIT_DEFAULT_BRANCH: main 2025-12-04T12:37:42.1313573Z HAS_NVIDIA_GPU: true 2025-12-04T12:37:42.1313883Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T12:37:42.1314315Z BUILD_ENVIRONMENT: linux-jammy-cuda13.0-py3.10-gcc11-sm86 2025-12-04T12:37:42.1314679Z PR_NUMBER: 2025-12-04T12:37:42.1314919Z GITHUB_REPOSITORY: pytorch/pytorch 2025-12-04T12:37:42.1315234Z GITHUB_WORKFLOW: inductor-periodic 2025-12-04T12:37:42.1315529Z GITHUB_JOB: test 2025-12-04T12:37:42.1315760Z GITHUB_RUN_ID: 19923066595 2025-12-04T12:37:42.1316030Z GITHUB_RUN_NUMBER: 67027 2025-12-04T12:37:42.1316279Z GITHUB_RUN_ATTEMPT: 1 2025-12-04T12:37:42.1316510Z JOB_ID: 57134750733 2025-12-04T12:37:42.1317069Z JOB_NAME: periodic-dynamo-benchmarks-test-cuda13 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-12-04T12:37:42.1317791Z BRANCH: main 2025-12-04T12:37:42.1318044Z SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T12:37:42.1318415Z BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T12:37:42.1318776Z TEST_CONFIG: dynamic_inductor_torchbench 2025-12-04T12:37:42.1319077Z SHARD_NUMBER: 2 2025-12-04T12:37:42.1319295Z NUM_TEST_SHARDS: 2 2025-12-04T12:37:42.1319531Z EXTRA_FLAGS: 2025-12-04T12:37:42.1319756Z OP_BENCHMARK_TESTS: 2025-12-04T12:37:42.1319992Z REENABLED_ISSUES: 2025-12-04T12:37:42.1320246Z CONTINUE_THROUGH_ERROR: True 2025-12-04T12:37:42.1320536Z VERBOSE_TEST_LOGS: False 2025-12-04T12:37:42.1320792Z TEST_SHOWLOCALS: False 2025-12-04T12:37:42.1321046Z NO_TEST_TIMEOUT: False 2025-12-04T12:37:42.1321311Z NO_TD: False 2025-12-04T12:37:42.1321533Z TD_DISTRIBUTED: False 2025-12-04T12:37:42.1321847Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-12-04T12:37:42.1322206Z SCCACHE_REGION: us-east-1 2025-12-04T12:37:42.1322464Z SHM_SIZE: 2g 2025-12-04T12:37:42.1323340Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:37:42.1324890Z DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:37:42.1326367Z XLA_CUDA: 2025-12-04T12:37:42.1326711Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-12-04T12:37:42.1327126Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-12-04T12:37:42.1327421Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-12-04T12:37:42.1327704Z DASHBOARD_TAG: 2025-12-04T12:37:42.1328136Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-12-04T12:37:42.1328520Z HUGGING_FACE_HUB_TOKEN: *** 2025-12-04T12:37:42.1328895Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-12-04T12:37:42.1329412Z ARTIFACTS_FILE_SUFFIX: test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_57134750733 2025-12-04T12:37:42.1329958Z ##[endgroup] 2025-12-04T12:37:42.1360000Z + [[ dynamic_inductor_torchbench == \m\u\l\t\i\g\p\u ]] 2025-12-04T12:37:42.1360401Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 == *onnx* ]] 2025-12-04T12:37:42.1360754Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T12:37:42.1364058Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-12-04T12:37:42.1395845Z + TOTAL_AVAILABLE_MEMORY_IN_GB='61.094 ' 2025-12-04T12:37:42.1396165Z + TOTAL_MEMORY_WITH_SWAP=64 2025-12-04T12:37:42.1396503Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 == *\s\3\9\0\x* ]] 2025-12-04T12:37:42.1396873Z + SHM_OPTS=--shm-size=2g 2025-12-04T12:37:42.1397125Z + JENKINS_USER='--user jenkins' 2025-12-04T12:37:42.1397390Z + DOCKER_SHELL_CMD= 2025-12-04T12:37:42.1398247Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:37:42.1405662Z +++ nproc --ignore=2 2025-12-04T12:37:42.1435484Z ++ 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_19923066595 --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-cuda13.0-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T12:37:49.4674917Z + container_name=98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T12:37:49.4676235Z + echo DOCKER_CONTAINER_ID=98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T12:37:49.4677075Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 == *\s\3\9\0\x* ]] 2025-12-04T12:37:49.4684550Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl 2025-12-04T12:37:49.4688109Z + docker exec -t 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-12-04T12:37:50.0745709Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f) 2025-12-04T12:37:50.4221233Z 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) 2025-12-04T12:37:50.4225110Z 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) (4.15.0) 2025-12-04T12:37:50.4230292Z 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) 2025-12-04T12:37:50.4235467Z 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) 2025-12-04T12:37:50.4239830Z 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) 2025-12-04T12:37:50.4245439Z 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) 2025-12-04T12:37:50.4259598Z 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) 2025-12-04T12:37:50.4643331Z 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) 2025-12-04T12:37:50.4664733Z 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) 2025-12-04T12:37:50.4722639Z 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) 2025-12-04T12:37:51.4387335Z Installing collected packages: torch 2025-12-04T12:38:02.6788954Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. 2025-12-04T12:38:02.6789834Z dall-e 0.1 requires torchvision, which is not installed. 2025-12-04T12:38:02.6790252Z effdet 0.4.1 requires torchvision, which is not installed. 2025-12-04T12:38:02.6790731Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-12-04T12:38:02.6791285Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-12-04T12:38:02.6791978Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-12-04T12:38:02.6792664Z timm 1.0.22 requires torchvision, which is not installed. 2025-12-04T12:38:02.6793457Z Successfully installed torch-2.10.0a0+gitffd9b0f 2025-12-04T12:38:02.7991849Z + export TERM=vt100 2025-12-04T12:38:02.7992090Z + TERM=vt100 2025-12-04T12:38:02.7995159Z ++ dirname .ci/pytorch/test.sh 2025-12-04T12:38:02.8171785Z + source .ci/pytorch/common.sh 2025-12-04T12:38:02.8232417Z +++ dirname .ci/pytorch/common.sh 2025-12-04T12:38:02.8242455Z ++ source .ci/pytorch/common_utils.sh 2025-12-04T12:38:02.8293030Z +++ declare -f -t trap_add 2025-12-04T12:38:02.8297702Z ++ set -ex -o pipefail 2025-12-04T12:38:02.8298030Z ++ [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 == *rocm* ]] 2025-12-04T12:38:02.8298383Z ++ BUILD_TEST_LIBTORCH=0 2025-12-04T12:38:02.8358441Z ++ dirname .ci/pytorch/test.sh 2025-12-04T12:38:02.8480222Z + source .ci/pytorch/common-build.sh 2025-12-04T12:38:02.8537957Z ++ [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 != *win-* ]] 2025-12-04T12:38:02.8545896Z ++++ dirname .ci/pytorch/common-build.sh 2025-12-04T12:38:02.8555714Z +++ cd .ci/pytorch 2025-12-04T12:38:02.8556279Z +++ pwd -P 2025-12-04T12:38:02.8559193Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-12-04T12:38:02.8559638Z ++ [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 == *-pch* ]] 2025-12-04T12:38:02.8559981Z ++ which sccache 2025-12-04T12:38:02.8665852Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-12-04T12:38:02.8666188Z ++ sccache --stop-server 2025-12-04T12:38:02.8728013Z ++ true 2025-12-04T12:38:02.8728487Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-12-04T12:38:02.8907375Z ++ trap_add sccache_epilogue EXIT 2025-12-04T12:38:02.8907685Z ++ trap_add_cmd=sccache_epilogue 2025-12-04T12:38:02.8907960Z ++ shift 2025-12-04T12:38:02.8908183Z ++ for trap_add_name in "$@" 2025-12-04T12:38:02.8913788Z ++++ trap -p EXIT 2025-12-04T12:38:02.8917237Z +++ eval 'extract_trap_cmd ' 2025-12-04T12:38:02.8917534Z ++++ extract_trap_cmd 2025-12-04T12:38:02.8917933Z ++++ printf '%s\n' '' 2025-12-04T12:38:02.8918189Z +++ printf '%s\n' sccache_epilogue 2025-12-04T12:38:02.8920501Z ++ trap -- ' 2025-12-04T12:38:02.8920899Z sccache_epilogue' EXIT 2025-12-04T12:38:02.8921189Z ++ [[ -n 1 ]] 2025-12-04T12:38:02.8921558Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-12-04T12:38:02.8922114Z Skipping sccache server initialization, setting environment variables 2025-12-04T12:38:02.8922530Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-12-04T12:38:02.8922844Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-12-04T12:38:02.8923184Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T12:38:02.8923601Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T12:38:02.8929062Z ++ export RUST_LOG=sccache::server=error 2025-12-04T12:38:02.8929387Z ++ RUST_LOG=sccache::server=error 2025-12-04T12:38:02.8929661Z ++ sccache --zero-stats 2025-12-04T12:38:03.3515344Z Statistics zeroed. 2025-12-04T12:38:03.3523695Z ++ which ccache 2025-12-04T12:38:03.3582094Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 != *rocm* ]] 2025-12-04T12:38:03.3582579Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 != *s390x* ]] 2025-12-04T12:38:03.3582942Z + [[ -d /var/lib/jenkins/workspace ]] 2025-12-04T12:38:03.3585331Z ++ stat -c %u /var/lib/jenkins/workspace 2025-12-04T12:38:03.3907342Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-12-04T12:38:03.3907662Z + trap_add cleanup_workspace EXIT 2025-12-04T12:38:03.3907965Z + trap_add_cmd=cleanup_workspace 2025-12-04T12:38:03.3908231Z + shift 2025-12-04T12:38:03.3908443Z + for trap_add_name in "$@" 2025-12-04T12:38:03.3914377Z +++ trap -p EXIT 2025-12-04T12:38:03.3917634Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-12-04T12:38:03.3918134Z sccache_epilogue'\'' EXIT' 2025-12-04T12:38:03.3918411Z +++ extract_trap_cmd trap -- ' 2025-12-04T12:38:03.3918765Z sccache_epilogue' EXIT 2025-12-04T12:38:03.3919013Z +++ printf '%s\n' ' 2025-12-04T12:38:03.3919303Z sccache_epilogue' 2025-12-04T12:38:03.3919577Z ++ printf '%s\n' cleanup_workspace 2025-12-04T12:38:03.3920451Z + trap -- ' 2025-12-04T12:38:03.3920664Z sccache_epilogue 2025-12-04T12:38:03.3920888Z cleanup_workspace' EXIT 2025-12-04T12:38:03.3921533Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-12-04T12:38:04.6804466Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-12-04T12:38:04.6944810Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 == *cuda* ]] 2025-12-04T12:38:04.6948101Z ++ python -c 'import os;import numba.cuda; print(os.path.dirname(numba.cuda.__file__))' 2025-12-04T12:38:05.0694333Z + NUMBA_CUDA_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T12:38:05.0694917Z + '[' -n /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ']' 2025-12-04T12:38:05.0699899Z +++ realpath .ci/pytorch/test.sh 2025-12-04T12:38:05.0723093Z ++ dirname /var/lib/jenkins/workspace/.ci/pytorch/test.sh 2025-12-04T12:38:05.0734462Z + NUMBA_PATCH=/var/lib/jenkins/workspace/.ci/pytorch/numba-cuda-13.patch 2025-12-04T12:38:05.0735044Z + pushd /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T12:38:05.0735593Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ~/workspace 2025-12-04T12:38:05.0736008Z + patch -p4 2025-12-04T12:38:05.0777165Z patching file cudadrv/driver.py 2025-12-04T12:38:05.0782303Z + popd 2025-12-04T12:38:05.0782763Z ~/workspace 2025-12-04T12:38:05.0783072Z + echo 'Environment variables:' 2025-12-04T12:38:05.0783360Z Environment variables: 2025-12-04T12:38:05.0783605Z + env 2025-12-04T12:38:05.0804600Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T12:38:05.0805413Z CONTINUE_THROUGH_ERROR=True 2025-12-04T12:38:05.0805757Z BUILD_ENVIRONMENT=linux-jammy-cuda13.0-py3.10-gcc11-sm86 2025-12-04T12:38:05.0806395Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T12:38:05.0806784Z HOSTNAME=98700489873a 2025-12-04T12:38:05.0807501Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_fab90ee3-886a-4a00-87fa-9111fc79bb9b 2025-12-04T12:38:05.0808209Z GITHUB_ACTION=__run_3 2025-12-04T12:38:05.0808564Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T12:38:05.0808917Z GITHUB_RUN_NUMBER=67027 2025-12-04T12:38:05.0809198Z TEST_CONFIG=dynamic_inductor_torchbench 2025-12-04T12:38:05.0821591Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T12:38:05.0821924Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T12:38:05.0822225Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T12:38:05.0822625Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T12:38:05.0822923Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-12-04T12:38:05.0823216Z GITHUB_REF_TYPE=branch 2025-12-04T12:38:05.0823522Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T12:38:05.0823841Z XLA_CUDA= 2025-12-04T12:38:05.0824055Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T12:38:05.0824443Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T12:38:05.0824950Z *** 2025-12-04T12:38:05.0825160Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T12:38:05.0825420Z GITHUB_ACTIONS=true 2025-12-04T12:38:05.0825951Z NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T12:38:05.0826276Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T12:38:05.0826633Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T12:38:05.0827000Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T12:38:05.0827533Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-12-04T12:38:05.0828002Z UCC_HOME=/usr 2025-12-04T12:38:05.0828220Z VERBOSE_TEST_LOGS=False 2025-12-04T12:38:05.0828468Z GITHUB_REF=refs/heads/main 2025-12-04T12:38:05.0828702Z SHARD_NUMBER=2 2025-12-04T12:38:05.0828925Z GITHUB_REF_PROTECTED=true 2025-12-04T12:38:05.0829169Z HOME=/var/lib/jenkins 2025-12-04T12:38:05.0829426Z GITHUB_API_URL=https://api.github.com 2025-12-04T12:38:05.0829739Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-12-04T12:38:05.0830065Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-12-04T12:38:05.0830377Z USE_SYSTEM_NCCL=1 2025-12-04T12:38:05.0830590Z NUM_TEST_SHARDS=2 2025-12-04T12:38:05.0830799Z UCX_HOME=/usr 2025-12-04T12:38:05.0831316Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_fab90ee3-886a-4a00-87fa-9111fc79bb9b 2025-12-04T12:38:05.0832438Z JOB_NAME=periodic-dynamo-benchmarks-test-cuda13 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-12-04T12:38:05.0833317Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_fab90ee3-886a-4a00-87fa-9111fc79bb9b 2025-12-04T12:38:05.0834044Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T12:38:05.0834502Z GITHUB_EVENT_NAME=schedule 2025-12-04T12:38:05.0834743Z DASHBOARD_TAG= 2025-12-04T12:38:05.0834961Z GITHUB_RUN_ID=19923066595 2025-12-04T12:38:05.0835223Z INSTALLED_OPENBLAS= 2025-12-04T12:38:05.0835773Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_fab90ee3-886a-4a00-87fa-9111fc79bb9b 2025-12-04T12:38:05.0836396Z GITHUB_ACTOR=pytorchmergebot 2025-12-04T12:38:05.0836648Z PR_NUMBER= 2025-12-04T12:38:05.0836843Z DESIRED_CUDA=13.0.2 2025-12-04T12:38:05.0837058Z GITHUB_RUN_ATTEMPT=1 2025-12-04T12:38:05.0837297Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T12:38:05.0837668Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T12:38:05.0837980Z TERM=vt100 2025-12-04T12:38:05.0838179Z INSTALLED_VISION=yes 2025-12-04T12:38:05.0838399Z BRANCH=main 2025-12-04T12:38:05.0838599Z SCCACHE_REGION=us-east-1 2025-12-04T12:38:05.0838860Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T12:38:05.0839129Z BUILD_AOT_INDUCTOR_TEST=yes 2025-12-04T12:38:05.0839378Z CUDA_PATH=/usr/local/cuda 2025-12-04T12:38:05.0839994Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T12:38:05.0840529Z GITHUB_SERVER_URL=https://github.com 2025-12-04T12:38:05.0840862Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-12-04T12:38:05.0841181Z REENABLED_ISSUES= 2025-12-04T12:38:05.0841400Z DOCS= 2025-12-04T12:38:05.0841587Z SHLVL=1 2025-12-04T12:38:05.0841775Z MAX_JOBS=14 2025-12-04T12:38:05.0841987Z GITHUB_ACTOR_ID=97764156 2025-12-04T12:38:05.0842319Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T12:38:05.0842676Z GITHUB_REF_NAME=main 2025-12-04T12:38:05.0843041Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T12:38:05.0843439Z GITHUB_JOB=test 2025-12-04T12:38:05.0843656Z NO_TEST_TIMEOUT=False 2025-12-04T12:38:05.0843901Z TD_DISTRIBUTED=False 2025-12-04T12:38:05.0844158Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T12:38:05.0844437Z GITHUB_RETENTION_DAYS=90 2025-12-04T12:38:05.0844700Z OPENSSL_DIR=/opt/openssl 2025-12-04T12:38:05.0844953Z GITHUB_ACTION_REPOSITORY= 2025-12-04T12:38:05.0845647Z 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 2025-12-04T12:38:05.0846367Z GITHUB_BASE_REF= 2025-12-04T12:38:05.0846586Z INSTALLED_ACL= 2025-12-04T12:38:05.0847042Z ARTIFACTS_FILE_SUFFIX=test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_57134750733 2025-12-04T12:38:05.0847538Z CI=true 2025-12-04T12:38:05.0847748Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T12:38:05.0848048Z RUST_LOG=sccache::server=error 2025-12-04T12:38:05.0848289Z JOB_ID=57134750733 2025-12-04T12:38:05.0848506Z GITHUB_HEAD_REF= 2025-12-04T12:38:05.0848718Z GITHUB_ACTION_REF= 2025-12-04T12:38:05.0848981Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T12:38:05.0849314Z TEST_SHOWLOCALS=False 2025-12-04T12:38:05.0849566Z GITHUB_WORKFLOW=inductor-periodic 2025-12-04T12:38:05.0849847Z DEBIAN_FRONTEND=noninteractive 2025-12-04T12:38:05.0850417Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_fab90ee3-886a-4a00-87fa-9111fc79bb9b 2025-12-04T12:38:05.0850991Z NO_TD=False 2025-12-04T12:38:05.0851199Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T12:38:05.0851484Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T12:38:05.0851762Z _=/usr/bin/env 2025-12-04T12:38:05.0852096Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T12:38:05.0852565Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-12-04T12:38:05.1101703Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-12-04T12:38:05.1102511Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T12:38:05.1103126Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-12-04T12:38:05.1103677Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-12-04T12:38:05.1104087Z + BUILD_DIR=build 2025-12-04T12:38:05.1104327Z + BUILD_RENAMED_DIR=build_renamed 2025-12-04T12:38:05.1104593Z + BUILD_BIN_DIR=build/bin 2025-12-04T12:38:05.1104826Z + SHARD_NUMBER=2 2025-12-04T12:38:05.1105039Z + NUM_TEST_SHARDS=2 2025-12-04T12:38:05.1105271Z + export TORCH_SERIALIZATION_DEBUG=1 2025-12-04T12:38:05.1105565Z + TORCH_SERIALIZATION_DEBUG=1 2025-12-04T12:38:05.1105826Z + export VALGRIND=ON 2025-12-04T12:38:05.1106042Z + VALGRIND=ON 2025-12-04T12:38:05.1106375Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 == *clang9* ]] 2025-12-04T12:38:05.1106946Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 == *xpu* ]] 2025-12-04T12:38:05.1107282Z + detect_cuda_arch 2025-12-04T12:38:05.1107555Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 == *cuda* ]] 2025-12-04T12:38:05.1107896Z + command -v nvidia-smi 2025-12-04T12:38:05.1108140Z /usr/bin/nvidia-smi 2025-12-04T12:38:05.1114394Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-12-04T12:38:05.1114735Z ++ tail -n 1 2025-12-04T12:38:05.1360527Z + TORCH_CUDA_ARCH_LIST=8.6 2025-12-04T12:38:05.1360832Z + export TORCH_CUDA_ARCH_LIST 2025-12-04T12:38:05.1361174Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 == *s390x* ]] 2025-12-04T12:38:05.1361513Z + [[ 0 == \1 ]] 2025-12-04T12:38:05.1361720Z + [[ True == \1 ]] 2025-12-04T12:38:05.1362001Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 != *bazel* ]] 2025-12-04T12:38:05.1365237Z ++ realpath build/custom_test_artifacts 2025-12-04T12:38:05.1388227Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-12-04T12:38:05.1388690Z + [[ -n '' ]] 2025-12-04T12:38:05.1388949Z + echo 'Environment variables' 2025-12-04T12:38:05.1389214Z Environment variables 2025-12-04T12:38:05.1389440Z + env 2025-12-04T12:38:05.1412561Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T12:38:05.1413221Z CONTINUE_THROUGH_ERROR=True 2025-12-04T12:38:05.1413721Z BUILD_ENVIRONMENT=linux-jammy-cuda13.0-py3.10-gcc11-sm86 2025-12-04T12:38:05.1414539Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T12:38:05.1414989Z HOSTNAME=98700489873a 2025-12-04T12:38:05.1415660Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_fab90ee3-886a-4a00-87fa-9111fc79bb9b 2025-12-04T12:38:05.1416299Z GITHUB_ACTION=__run_3 2025-12-04T12:38:05.1416571Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-12-04T12:38:05.1416859Z GITHUB_RUN_NUMBER=67027 2025-12-04T12:38:05.1417126Z TEST_CONFIG=dynamic_inductor_torchbench 2025-12-04T12:38:05.1417486Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T12:38:05.1417914Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T12:38:05.1418223Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T12:38:05.1418670Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T12:38:05.1418958Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-12-04T12:38:05.1419286Z GITHUB_REF_TYPE=branch 2025-12-04T12:38:05.1419566Z TORCH_CUDA_ARCH_LIST=8.6 2025-12-04T12:38:05.1419856Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T12:38:05.1420189Z XLA_CUDA= 2025-12-04T12:38:05.1420418Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T12:38:05.1421004Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T12:38:05.1421322Z *** 2025-12-04T12:38:05.1421620Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T12:38:05.1421883Z GITHUB_ACTIONS=true 2025-12-04T12:38:05.1422113Z NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T12:38:05.1422431Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T12:38:05.1422820Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T12:38:05.1423199Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T12:38:05.1424076Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main 2025-12-04T12:38:05.1424566Z UCC_HOME=/usr 2025-12-04T12:38:05.1424792Z TORCH_SERIALIZATION_DEBUG=1 2025-12-04T12:38:05.1425050Z VERBOSE_TEST_LOGS=False 2025-12-04T12:38:05.1425292Z GITHUB_REF=refs/heads/main 2025-12-04T12:38:05.1425795Z SHARD_NUMBER=2 2025-12-04T12:38:05.1426070Z GITHUB_REF_PROTECTED=true 2025-12-04T12:38:05.1426323Z HOME=/var/lib/jenkins 2025-12-04T12:38:05.1426593Z GITHUB_API_URL=https://api.github.com 2025-12-04T12:38:05.1426902Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-12-04T12:38:05.1427230Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-12-04T12:38:05.1427556Z USE_SYSTEM_NCCL=1 2025-12-04T12:38:05.1427768Z NUM_TEST_SHARDS=2 2025-12-04T12:38:05.1427983Z UCX_HOME=/usr 2025-12-04T12:38:05.1428502Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_fab90ee3-886a-4a00-87fa-9111fc79bb9b 2025-12-04T12:38:05.1429403Z JOB_NAME=periodic-dynamo-benchmarks-test-cuda13 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-12-04T12:38:05.1430280Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_fab90ee3-886a-4a00-87fa-9111fc79bb9b 2025-12-04T12:38:05.1431027Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T12:38:05.1431475Z GITHUB_EVENT_NAME=schedule 2025-12-04T12:38:05.1431734Z DASHBOARD_TAG= 2025-12-04T12:38:05.1432122Z GITHUB_RUN_ID=19923066595 2025-12-04T12:38:05.1432368Z INSTALLED_OPENBLAS= 2025-12-04T12:38:05.1432932Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_fab90ee3-886a-4a00-87fa-9111fc79bb9b 2025-12-04T12:38:05.1433608Z GITHUB_ACTOR=pytorchmergebot 2025-12-04T12:38:05.1433861Z PR_NUMBER= 2025-12-04T12:38:05.1434063Z DESIRED_CUDA=13.0.2 2025-12-04T12:38:05.1434292Z GITHUB_RUN_ATTEMPT=1 2025-12-04T12:38:05.1434513Z VALGRIND=ON 2025-12-04T12:38:05.1434726Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T12:38:05.1435050Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T12:38:05.1435364Z TERM=vt100 2025-12-04T12:38:05.1435562Z INSTALLED_VISION=yes 2025-12-04T12:38:05.1435782Z BRANCH=main 2025-12-04T12:38:05.1436003Z SCCACHE_REGION=us-east-1 2025-12-04T12:38:05.1436266Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T12:38:05.1436538Z BUILD_AOT_INDUCTOR_TEST=yes 2025-12-04T12:38:05.1436790Z CUDA_PATH=/usr/local/cuda 2025-12-04T12:38:05.1437285Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T12:38:05.1437832Z GITHUB_SERVER_URL=https://github.com 2025-12-04T12:38:05.1438174Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-12-04T12:38:05.1438482Z REENABLED_ISSUES= 2025-12-04T12:38:05.1438693Z DOCS= 2025-12-04T12:38:05.1438877Z SHLVL=1 2025-12-04T12:38:05.1439054Z MAX_JOBS=14 2025-12-04T12:38:05.1439262Z GITHUB_ACTOR_ID=97764156 2025-12-04T12:38:05.1439596Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T12:38:05.1439949Z GITHUB_REF_NAME=main 2025-12-04T12:38:05.1440307Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T12:38:05.1440699Z GITHUB_JOB=test 2025-12-04T12:38:05.1440906Z NO_TEST_TIMEOUT=False 2025-12-04T12:38:05.1441138Z TD_DISTRIBUTED=False 2025-12-04T12:38:05.1441394Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T12:38:05.1441667Z GITHUB_RETENTION_DAYS=90 2025-12-04T12:38:05.1441917Z OPENSSL_DIR=/opt/openssl 2025-12-04T12:38:05.1442176Z GITHUB_ACTION_REPOSITORY= 2025-12-04T12:38:05.1442887Z 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 2025-12-04T12:38:05.1443612Z GITHUB_BASE_REF= 2025-12-04T12:38:05.1443842Z INSTALLED_ACL= 2025-12-04T12:38:05.1444306Z ARTIFACTS_FILE_SUFFIX=test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_57134750733 2025-12-04T12:38:05.1444812Z CI=true 2025-12-04T12:38:05.1445034Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T12:38:05.1445483Z RUST_LOG=sccache::server=error 2025-12-04T12:38:05.1445737Z JOB_ID=57134750733 2025-12-04T12:38:05.1445948Z GITHUB_HEAD_REF= 2025-12-04T12:38:05.1446166Z GITHUB_ACTION_REF= 2025-12-04T12:38:05.1446435Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T12:38:05.1446768Z TEST_SHOWLOCALS=False 2025-12-04T12:38:05.1447028Z GITHUB_WORKFLOW=inductor-periodic 2025-12-04T12:38:05.1447321Z DEBIAN_FRONTEND=noninteractive 2025-12-04T12:38:05.1447905Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_fab90ee3-886a-4a00-87fa-9111fc79bb9b 2025-12-04T12:38:05.1448498Z NO_TD=False 2025-12-04T12:38:05.1448720Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T12:38:05.1449007Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T12:38:05.1449437Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T12:38:05.1449833Z _=/usr/bin/env 2025-12-04T12:38:05.1450050Z + echo 'Testing pytorch' 2025-12-04T12:38:05.1450299Z Testing pytorch 2025-12-04T12:38:05.1450518Z + export LANG=C.UTF-8 2025-12-04T12:38:05.1450753Z + LANG=C.UTF-8 2025-12-04T12:38:05.1486808Z + PR_NUMBER= 2025-12-04T12:38:05.1487149Z + [[ dynamic_inductor_torchbench == \d\e\f\a\u\l\t ]] 2025-12-04T12:38:05.1487668Z + [[ dynamic_inductor_torchbench == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-12-04T12:38:05.1488161Z + [[ dynamic_inductor_torchbench == \s\l\o\w ]] 2025-12-04T12:38:05.1488572Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 == *slow-gradcheck* ]] 2025-12-04T12:38:05.1489158Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 == *cuda* ]] 2025-12-04T12:38:05.1489521Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-12-04T12:38:05.1489844Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-12-04T12:38:05.1490162Z + [[ dynamic_inductor_torchbench == *crossref* ]] 2025-12-04T12:38:05.1490521Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 == *rocm* ]] 2025-12-04T12:38:05.1490915Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 == *xpu* ]] 2025-12-04T12:38:05.1491308Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 != *-bazel-* ]] 2025-12-04T12:38:05.1491666Z + pip_install ninja==1.10.2 2025-12-04T12:38:05.1491998Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T12:38:05.1492427Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-12-04T12:38:05.6754342Z Collecting ninja==1.10.2 2025-12-04T12:38:05.6996893Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-12-04T12:38:05.7108780Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-12-04T12:38:06.6794536Z Installing collected packages: ninja 2025-12-04T12:38:06.6794926Z Attempting uninstall: ninja 2025-12-04T12:38:06.6805943Z Found existing installation: ninja 1.11.1.4 2025-12-04T12:38:06.6831787Z Uninstalling ninja-1.11.1.4: 2025-12-04T12:38:06.6930302Z Successfully uninstalled ninja-1.11.1.4 2025-12-04T12:38:06.7668406Z Successfully installed ninja-1.10.2 2025-12-04T12:38:06.8662423Z + 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 2025-12-04T12:38:06.8664558Z + 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 2025-12-04T12:38:06.8665595Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 == *aarch64* ]] 2025-12-04T12:38:06.8666056Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 == *asan* ]] 2025-12-04T12:38:06.8666625Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 == *-debug* ]] 2025-12-04T12:38:06.8667106Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 != *-bazel-* ]] 2025-12-04T12:38:06.8667669Z + echo 'We are not in debug mode: linux-jammy-cuda13.0-py3.10-gcc11-sm86. Expect the assertion to pass' 2025-12-04T12:38:06.8668344Z We are not in debug mode: linux-jammy-cuda13.0-py3.10-gcc11-sm86. Expect the assertion to pass 2025-12-04T12:38:06.8668799Z + cd test 2025-12-04T12:38:06.8669379Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-12-04T12:38:07.3748866Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:38:07.3750522Z import pynvml # type: ignore[import] 2025-12-04T12:38:08.5824083Z + [[ dynamic_inductor_torchbench == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-12-04T12:38:08.5824560Z + [[ dynamic_inductor_torchbench == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-12-04T12:38:08.5825037Z + [[ dynamic_inductor_torchbench == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-12-04T12:38:08.5829528Z + DYNAMO_BENCHMARK_FLAGS=() 2025-12-04T12:38:08.5829952Z + [[ dynamic_inductor_torchbench == *pr_time_benchmarks* ]] 2025-12-04T12:38:08.5830396Z + [[ dynamic_inductor_torchbench == *dynamo_eager* ]] 2025-12-04T12:38:08.5830922Z + [[ dynamic_inductor_torchbench == *aot_eager* ]] 2025-12-04T12:38:08.5831323Z + [[ dynamic_inductor_torchbench == *aot_inductor* ]] 2025-12-04T12:38:08.5831710Z + [[ dynamic_inductor_torchbench == *max_autotune_inductor* ]] 2025-12-04T12:38:08.5832096Z + [[ dynamic_inductor_torchbench == *inductor* ]] 2025-12-04T12:38:08.5832436Z + [[ dynamic_inductor_torchbench != *perf* ]] 2025-12-04T12:38:08.5832768Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor) 2025-12-04T12:38:08.5833446Z + [[ dynamic_inductor_torchbench == *dynamic* ]] 2025-12-04T12:38:08.5833874Z + DYNAMO_BENCHMARK_FLAGS+=(--dynamic-shapes --dynamic-batch-only) 2025-12-04T12:38:08.5834333Z + [[ dynamic_inductor_torchbench == *cpu* ]] 2025-12-04T12:38:08.5834647Z + [[ dynamic_inductor_torchbench == *xpu* ]] 2025-12-04T12:38:08.5834965Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-12-04T12:38:08.5864008Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 == *libtorch* ]] 2025-12-04T12:38:08.5864888Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 == *-bazel-* ]] 2025-12-04T12:38:08.5869985Z + cd test 2025-12-04T12:38:08.5870543Z + python -c 'import torch; print(torch.__config__.show())' 2025-12-04T12:38:09.0827836Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:38:09.0829558Z import pynvml # type: ignore[import] 2025-12-04T12:38:11.2942575Z PyTorch built with: 2025-12-04T12:38:11.2942878Z - GCC 11.4 2025-12-04T12:38:11.2943104Z - C++ Version: 201703 2025-12-04T12:38:11.2943618Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T12:38:11.2944289Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T12:38:11.2944710Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T12:38:11.2945055Z - LAPACK is enabled (usually provided by MKL) 2025-12-04T12:38:11.2945398Z - NNPACK is enabled 2025-12-04T12:38:11.2945672Z - CPU capability usage: AVX2 2025-12-04T12:38:11.2945962Z - CUDA Runtime 13.0 2025-12-04T12:38:11.2946480Z - NVCC architecture flags: -gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 2025-12-04T12:38:11.2947048Z - CuDNN 91.3 2025-12-04T12:38:11.2952892Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32, CUDA_VERSION=13.0, CUDNN_VERSION=9.13.0, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -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, 2025-12-04T12:38:11.2958463Z 2025-12-04T12:38:11.6798600Z + cd test 2025-12-04T12:38:11.6798975Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-12-04T12:38:12.2219601Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:38:12.2220801Z import pynvml # type: ignore[import] 2025-12-04T12:38:13.0982262Z ATen/Parallel: 2025-12-04T12:38:13.0982770Z at::get_num_threads() : 8 2025-12-04T12:38:13.0983324Z at::get_num_interop_threads() : 16 2025-12-04T12:38:13.0983905Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T12:38:13.0984436Z omp_get_max_threads() : 8 2025-12-04T12:38:13.0985342Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T12:38:13.0986298Z mkl_get_max_threads() : 8 2025-12-04T12:38:13.0986662Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T12:38:13.0987078Z std::thread::hardware_concurrency() : 16 2025-12-04T12:38:13.0987375Z Environment variables: 2025-12-04T12:38:13.0987620Z OMP_NUM_THREADS : [not set] 2025-12-04T12:38:13.0987869Z MKL_NUM_THREADS : [not set] 2025-12-04T12:38:13.0988124Z ATen parallel backend: OpenMP 2025-12-04T12:38:13.0988292Z 2025-12-04T12:38:13.4361793Z + [[ dynamic_inductor_torchbench == *numpy_2* ]] 2025-12-04T12:38:13.4362391Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 == *aarch64* ]] 2025-12-04T12:38:13.4362942Z + [[ dynamic_inductor_torchbench == *backward* ]] 2025-12-04T12:38:13.4363528Z + [[ dynamic_inductor_torchbench == *libtorch_agnostic_targetting* ]] 2025-12-04T12:38:13.4364072Z + [[ dynamic_inductor_torchbench == *xla* ]] 2025-12-04T12:38:13.4364511Z + [[ dynamic_inductor_torchbench == *vllm* ]] 2025-12-04T12:38:13.4364971Z + [[ dynamic_inductor_torchbench == *executorch* ]] 2025-12-04T12:38:13.4365486Z + [[ dynamic_inductor_torchbench == \j\i\t\_\l\e\g\a\c\y ]] 2025-12-04T12:38:13.4365987Z + [[ dynamic_inductor_torchbench == \q\u\a\n\t\i\z\a\t\i\o\n ]] 2025-12-04T12:38:13.4366401Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 == *libtorch* ]] 2025-12-04T12:38:13.4366791Z + [[ dynamic_inductor_torchbench == distributed ]] 2025-12-04T12:38:13.4367169Z + [[ dynamic_inductor_torchbench == *operator_benchmark* ]] 2025-12-04T12:38:13.4367590Z + [[ dynamic_inductor_torchbench == *operator_microbenchmark* ]] 2025-12-04T12:38:13.4368032Z + [[ dynamic_inductor_torchbench == *attention_microbenchmark* ]] 2025-12-04T12:38:13.4368464Z + [[ dynamic_inductor_torchbench == *inductor_distributed* ]] 2025-12-04T12:38:13.4368856Z + [[ dynamic_inductor_torchbench == *inductor-halide* ]] 2025-12-04T12:38:13.4369235Z + [[ dynamic_inductor_torchbench == *inductor-pallas* ]] 2025-12-04T12:38:13.4369638Z + [[ dynamic_inductor_torchbench == *inductor-triton-cpu* ]] 2025-12-04T12:38:13.4370082Z + [[ dynamic_inductor_torchbench == *inductor-micro-benchmark* ]] 2025-12-04T12:38:13.4370546Z + [[ dynamic_inductor_torchbench == *aoti_cross_compile_for_windows* ]] 2025-12-04T12:38:13.4370989Z + [[ dynamic_inductor_torchbench == *huggingface* ]] 2025-12-04T12:38:13.4371342Z + [[ dynamic_inductor_torchbench == *timm* ]] 2025-12-04T12:38:13.4371671Z + [[ dynamic_inductor_torchbench == cachebench ]] 2025-12-04T12:38:13.4372272Z + [[ dynamic_inductor_torchbench == verify_cachebench ]] 2025-12-04T12:38:13.4372642Z + [[ dynamic_inductor_torchbench == *torchbench* ]] 2025-12-04T12:38:13.4372958Z + install_torchaudio 2025-12-04T12:38:13.4373192Z + local commit 2025-12-04T12:38:13.4373410Z ++ get_pinned_commit audio 2025-12-04T12:38:13.4373677Z ++ cat .github/ci_commit_pins/audio.txt 2025-12-04T12:38:13.4405878Z + commit=e90a3986cbebd57a5ad08b6813e2c7ff199cdbe0 2025-12-04T12:38:13.4406773Z + pip_build_and_install git+https://github.com/pytorch/audio.git@e90a3986cbebd57a5ad08b6813e2c7ff199cdbe0 dist/audio 2025-12-04T12:38:13.4407862Z + local build_target=git+https://github.com/pytorch/audio.git@e90a3986cbebd57a5ad08b6813e2c7ff199cdbe0 2025-12-04T12:38:13.4408389Z + local wheel_dir=dist/audio 2025-12-04T12:38:13.4408642Z + local found_whl=0 2025-12-04T12:38:13.4408949Z + for file in "${wheel_dir}"/*.whl 2025-12-04T12:38:13.4409375Z + [[ -f dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl ]] 2025-12-04T12:38:13.4409791Z + found_whl=1 2025-12-04T12:38:13.4409993Z + break 2025-12-04T12:38:13.4420929Z + '[' 1 == 0 ']' 2025-12-04T12:38:13.4421278Z + for file in "${wheel_dir}"/*.whl 2025-12-04T12:38:13.4421826Z + pip_install_whl dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl 2025-12-04T12:38:13.4422431Z + args=('dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl') 2025-12-04T12:38:13.4422843Z + local args 2025-12-04T12:38:13.4423203Z + [[ dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-12-04T12:38:13.4423904Z + for path in "${args[@]}" 2025-12-04T12:38:13.4424336Z + echo 'Installing dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl' 2025-12-04T12:38:13.4424954Z Installing dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl 2025-12-04T12:38:13.4425933Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl 2025-12-04T12:38:13.8115949Z Processing ./dist/audio/torchaudio-2.10.0a0+e90a398-cp310-cp310-linux_x86_64.whl 2025-12-04T12:38:13.8183403Z Installing collected packages: torchaudio 2025-12-04T12:38:14.0396445Z Successfully installed torchaudio-2.10.0a0+e90a398 2025-12-04T12:38:14.0777574Z + install_torchvision 2025-12-04T12:38:14.0777860Z + local orig_preload 2025-12-04T12:38:14.0778089Z + local commit 2025-12-04T12:38:14.0781676Z ++ get_pinned_commit vision 2025-12-04T12:38:14.0781977Z ++ cat .github/ci_commit_pins/vision.txt 2025-12-04T12:38:14.0817482Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T12:38:14.0817925Z + orig_preload= 2025-12-04T12:38:14.0818246Z + '[' -n '' ']' 2025-12-04T12:38:14.0818613Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 == *cuda* ]] 2025-12-04T12:38:14.0819046Z + export FORCE_CUDA=1 2025-12-04T12:38:14.0819347Z + FORCE_CUDA=1 2025-12-04T12:38:14.0819553Z + export WITH_CUDA=1 2025-12-04T12:38:14.0819773Z + WITH_CUDA=1 2025-12-04T12:38:14.0820295Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision 2025-12-04T12:38:14.0821111Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T12:38:14.0821725Z + local wheel_dir=dist/vision 2025-12-04T12:38:14.0821985Z + local found_whl=0 2025-12-04T12:38:14.0822221Z + for file in "${wheel_dir}"/*.whl 2025-12-04T12:38:14.0822638Z + [[ -f dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl ]] 2025-12-04T12:38:14.0823062Z + found_whl=1 2025-12-04T12:38:14.0823269Z + break 2025-12-04T12:38:14.0823451Z + '[' 1 == 0 ']' 2025-12-04T12:38:14.0823685Z + for file in "${wheel_dir}"/*.whl 2025-12-04T12:38:14.0824143Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T12:38:14.0824750Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl') 2025-12-04T12:38:14.0825175Z + local args 2025-12-04T12:38:14.0825953Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-12-04T12:38:14.0826821Z + for path in "${args[@]}" 2025-12-04T12:38:14.0827263Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl' 2025-12-04T12:38:14.0827893Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T12:38:14.0828607Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T12:38:14.4557005Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T12:38:14.4662984Z Installing collected packages: torchvision 2025-12-04T12:38:14.9709309Z Successfully installed torchvision-0.25.0a0+617079d 2025-12-04T12:38:15.0126029Z + '[' -n '' ']' 2025-12-04T12:38:15.0126264Z + id=1 2025-12-04T12:38:15.0126506Z + pip_install opencv-python==4.8.0.74 2025-12-04T12:38:15.0126942Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T12:38:15.0127474Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74 2025-12-04T12:38:15.5184422Z Collecting opencv-python==4.8.0.74 2025-12-04T12:38:15.5441890Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB) 2025-12-04T12:38:15.5535590Z Requirement already satisfied: numpy>=1.21.2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opencv-python==4.8.0.74) (1.22.4) 2025-12-04T12:38:15.5612204Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB) 2025-12-04T12:38:16.9588597Z Installing collected packages: opencv-python 2025-12-04T12:38:16.9588968Z Attempting uninstall: opencv-python 2025-12-04T12:38:16.9602061Z Found existing installation: opencv-python 4.11.0.86 2025-12-04T12:38:16.9714285Z Uninstalling opencv-python-4.11.0.86: 2025-12-04T12:38:17.1426574Z Successfully uninstalled opencv-python-4.11.0.86 2025-12-04T12:38:18.1075782Z Successfully installed opencv-python-4.8.0.74 2025-12-04T12:38:18.2232676Z + [[ dynamic_inductor_torchbench == *inductor_torchbench_smoketest_perf* ]] 2025-12-04T12:38:18.2233265Z + [[ dynamic_inductor_torchbench == *inductor_torchbench_cpu_smoketest_perf* ]] 2025-12-04T12:38:18.2233776Z + [[ dynamic_inductor_torchbench == *torchbench_gcp_smoketest* ]] 2025-12-04T12:38:18.2234173Z + [[ dynamic_inductor_torchbench != *cpu* ]] 2025-12-04T12:38:18.2234505Z + [[ dynamic_inductor_torchbench != *xpu* ]] 2025-12-04T12:38:18.2234879Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 != *cuda13* ]] 2025-12-04T12:38:18.2235241Z + PYTHONPATH=/torchbench 2025-12-04T12:38:18.2235518Z + test_dynamo_benchmark torchbench 1 2025-12-04T12:38:18.2238047Z ++ pwd 2025-12-04T12:38:18.2242061Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-12-04T12:38:18.2242482Z + local suite=torchbench 2025-12-04T12:38:18.2242723Z + shift 2025-12-04T12:38:18.2242921Z + local shard_id=1 2025-12-04T12:38:18.2243129Z + shift 2025-12-04T12:38:18.2243319Z + extra_args=() 2025-12-04T12:38:18.2243525Z + local extra_args 2025-12-04T12:38:18.2243842Z + [[ linux-jammy-cuda13.0-py3.10-gcc11-sm86 == *cuda13* ]] 2025-12-04T12:38:18.2244223Z + extra_args=(--exclude-exact torchrec_dlrm) 2025-12-04T12:38:18.2244576Z + [[ dynamic_inductor_torchbench == *perf_compare* ]] 2025-12-04T12:38:18.2244924Z + [[ dynamic_inductor_torchbench == *perf* ]] 2025-12-04T12:38:18.2245249Z + [[ dynamic_inductor_torchbench == *cpu* ]] 2025-12-04T12:38:18.2245588Z + [[ dynamic_inductor_torchbench == *aot_inductor* ]] 2025-12-04T12:38:18.2245989Z + [[ dynamic_inductor_torchbench == *max_autotune_inductor* ]] 2025-12-04T12:38:18.2246597Z + test_single_dynamo_benchmark inference torchbench 1 --inference --bfloat16 --exclude-exact torchrec_dlrm 2025-12-04T12:38:18.2247575Z ++ pwd 2025-12-04T12:38:18.2252034Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-12-04T12:38:18.2252466Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-12-04T12:38:18.2294950Z + local name=inference 2025-12-04T12:38:18.2295241Z + shift 2025-12-04T12:38:18.2295457Z + local suite=torchbench 2025-12-04T12:38:18.2295957Z + shift 2025-12-04T12:38:18.2296151Z + local shard_id=1 2025-12-04T12:38:18.2296365Z + shift 2025-12-04T12:38:18.2296584Z + partition_flags=() 2025-12-04T12:38:18.2296842Z + local partition_flags 2025-12-04T12:38:18.2297076Z + [[ -n 2 ]] 2025-12-04T12:38:18.2297270Z + [[ -n 1 ]] 2025-12-04T12:38:18.2297648Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-12-04T12:38:18.2298150Z + [[ dynamic_inductor_torchbench == *perf_compare* ]] 2025-12-04T12:38:18.2298519Z + [[ dynamic_inductor_torchbench == *perf* ]] 2025-12-04T12:38:18.2298844Z + [[ dynamic_inductor_torchbench == *_avx2* ]] 2025-12-04T12:38:18.2299174Z + [[ dynamic_inductor_torchbench == *_avx512* ]] 2025-12-04T12:38:18.2300565Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --inductor --dynamic-shapes --dynamic-batch-only --device cuda --inference --bfloat16 --exclude-exact torchrec_dlrm --total-partitions 2 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv 2025-12-04T12:38:18.7364288Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:38:18.7365968Z import pynvml # type: ignore[import] 2025-12-04T12:38:21.9780373Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:38:21.9782125Z import pynvml # type: ignore[import] 2025-12-04T12:38:24.6341213Z 2025-12-04T12:38:25.3468121Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:38:25.3468544Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:38:25.3468963Z cuda eval llama_v2_7b_16h 2025-12-04T12:38:25.3477095Z Traceback (most recent call last): 2025-12-04T12:38:25.3477642Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4280, in run 2025-12-04T12:38:25.3478108Z ) = runner.load_model( 2025-12-04T12:38:25.3478566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 312, in load_model 2025-12-04T12:38:25.3479072Z benchmark = benchmark_cls( 2025-12-04T12:38:25.3479479Z File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__ 2025-12-04T12:38:25.3479907Z obj = type.__call__(cls, *args, **kwargs) 2025-12-04T12:38:25.3480404Z File "/torchbench/torchbenchmark/models/llama_v2_7b_16h/__init__.py", line 16, in __init__ 2025-12-04T12:38:25.3480885Z super().__init__( 2025-12-04T12:38:25.3481371Z File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__ 2025-12-04T12:38:25.3481888Z super().__init__( 2025-12-04T12:38:25.3482252Z File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__ 2025-12-04T12:38:25.3482669Z self._skip_by_device_name() 2025-12-04T12:38:25.3483103Z File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name 2025-12-04T12:38:25.3483571Z raise NotImplementedError( 2025-12-04T12:38:25.3484098Z NotImplementedError: The current device NVIDIA A10G is skipped by its `llama_v2_7b_16h/metadata.yaml`. 2025-12-04T12:38:25.3484529Z 2025-12-04T12:38:25.3484626Z model_fail_to_load 2025-12-04T12:38:26.8012017Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:38:26.8013705Z import pynvml # type: ignore[import] 2025-12-04T12:38:29.4556312Z 2025-12-04T12:38:30.1227141Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:38:30.1227872Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:38:30.1228186Z cuda eval llava 2025-12-04T12:38:30.1234723Z Traceback (most recent call last): 2025-12-04T12:38:30.1235200Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4280, in run 2025-12-04T12:38:30.1235676Z ) = runner.load_model( 2025-12-04T12:38:30.1236131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 312, in load_model 2025-12-04T12:38:30.1236648Z benchmark = benchmark_cls( 2025-12-04T12:38:30.1237046Z File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__ 2025-12-04T12:38:30.1237486Z obj = type.__call__(cls, *args, **kwargs) 2025-12-04T12:38:30.1237944Z File "/torchbench/torchbenchmark/models/llava/__init__.py", line 12, in __init__ 2025-12-04T12:38:30.1238393Z super().__init__( 2025-12-04T12:38:30.1238886Z File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__ 2025-12-04T12:38:30.1239417Z super().__init__( 2025-12-04T12:38:30.1239827Z File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__ 2025-12-04T12:38:30.1240246Z self._skip_by_device_name() 2025-12-04T12:38:30.1240693Z File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name 2025-12-04T12:38:30.1241161Z raise NotImplementedError( 2025-12-04T12:38:30.1241642Z NotImplementedError: The current device NVIDIA A10G is skipped by its `llava/metadata.yaml`. 2025-12-04T12:38:30.1242224Z 2025-12-04T12:38:30.1242328Z model_fail_to_load 2025-12-04T12:38:31.5819728Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:38:31.5821000Z import pynvml # type: ignore[import] 2025-12-04T12:38:34.2336210Z 2025-12-04T12:38:35.0780966Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:38:35.0781323Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:38:35.0788470Z cuda eval maml 2025-12-04T12:38:35.1048296Z Compilation time (from dynamo_timed): 0 2025-12-04T12:38:35.1048613Z pass_due_to_skip 2025-12-04T12:38:35.1056061Z TIMING: total_wall_time:0 2025-12-04T12:38:35.1056330Z STATS: call_* op count: 0 2025-12-04T12:38:35.1056707Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-12-04T12:38:36.5982760Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:38:36.5984431Z import pynvml # type: ignore[import] 2025-12-04T12:38:39.2456809Z 2025-12-04T12:38:40.0038600Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:38:40.0038929Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:38:40.0046387Z cuda eval maml_omniglot 2025-12-04T12:38:45.7756123Z Compilation time (from dynamo_timed): 4.889915596 2025-12-04T12:38:45.7756491Z pass 2025-12-04T12:38:45.7758500Z TIMING: _recursive_pre_grad_passes:0.00436 pad_mm_benchmark:0.00068 _recursive_joint_graph_passes:0.30765 _recursive_post_grad_passes:0.02548 async_compile.precompile:0.96275 async_compile.wait:0.52084 code_gen:2.34238 inductor_compile:2.5875 backend_compile:4.40688 gc:0.00052 entire_frame_compile:4.88992 cudagraphify.get_container:0.00258 CachingAutotuner.benchmark_all_configs:0.12508 CUDAGraphNode.record:0.00178 total_wall_time:4.88992 2025-12-04T12:38:45.7760589Z STATS: call_* op count: 14 | FakeTensorMode.__torch_dispatch__:1060 | FakeTensor.__torch_dispatch__:444 | ProxyTorchDispatchMode.__torch_dispatch__:179 2025-12-04T12:38:45.7761345Z Dynamo produced 1 graphs covering 14 ops with 0 graph breaks (0 unique) 2025-12-04T12:38:48.1852928Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:38:48.1854944Z import pynvml # type: ignore[import] 2025-12-04T12:38:50.8264309Z 2025-12-04T12:38:51.2637725Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:38:51.2638172Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:38:51.2639541Z cuda eval microbench_unbacked_tolist_sum 2025-12-04T12:38:52.7625071Z W1204 12:38:52.761000 636 site-packages/torch/_dynamo/variables/tensor.py:1073] [2/0] Graph break from `Tensor.item()`, consider setting: 2025-12-04T12:38:52.7626228Z W1204 12:38:52.761000 636 site-packages/torch/_dynamo/variables/tensor.py:1073] [2/0] torch._dynamo.config.capture_scalar_outputs = True 2025-12-04T12:38:52.7626976Z W1204 12:38:52.761000 636 site-packages/torch/_dynamo/variables/tensor.py:1073] [2/0] or: 2025-12-04T12:38:52.7627712Z W1204 12:38:52.761000 636 site-packages/torch/_dynamo/variables/tensor.py:1073] [2/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-12-04T12:38:52.7628588Z W1204 12:38:52.761000 636 site-packages/torch/_dynamo/variables/tensor.py:1073] [2/0] to include these operations in the captured graph. 2025-12-04T12:38:52.7629308Z W1204 12:38:52.761000 636 site-packages/torch/_dynamo/variables/tensor.py:1073] [2/0] 2025-12-04T12:38:52.7629973Z W1204 12:38:52.761000 636 site-packages/torch/_dynamo/variables/tensor.py:1073] [2/0] Graph break: from user code at: 2025-12-04T12:38:52.7631555Z W1204 12:38:52.761000 636 site-packages/torch/_dynamo/variables/tensor.py:1073] [2/0] File "/torchbench/torchbenchmark/models/microbench_unbacked_tolist_sum/__init__.py", line 18, in torch_dynamo_resume_in_forward_at_13 2025-12-04T12:38:52.7632668Z W1204 12:38:52.761000 636 site-packages/torch/_dynamo/variables/tensor.py:1073] [2/0] sum += tv[i].item() 2025-12-04T12:38:52.7633310Z W1204 12:38:52.761000 636 site-packages/torch/_dynamo/variables/tensor.py:1073] [2/0] 2025-12-04T12:38:52.7634050Z W1204 12:38:52.761000 636 site-packages/torch/_dynamo/variables/tensor.py:1073] [2/0] 2025-12-04T12:38:52.8610541Z Compilation time (from dynamo_timed): 0.836800623 2025-12-04T12:38:52.8610890Z pass 2025-12-04T12:38:52.8611194Z TIMING: gc:0.00239 entire_frame_compile:0.8368 total_wall_time:0.8368 2025-12-04T12:38:52.8611762Z STATS: call_* op count: 0 | FakeTensor.__torch_dispatch__:2005 | FakeTensorMode.__torch_dispatch__:17 2025-12-04T12:38:52.8612370Z Dynamo produced 0 graphs covering 0 ops with 2 graph breaks (1 unique) 2025-12-04T12:38:54.4101663Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:38:54.4103654Z import pynvml # type: ignore[import] 2025-12-04T12:38:57.0490265Z 2025-12-04T12:38:57.4292476Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/mnasnet1.0_top1_73.512-f206786ef8.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/mnasnet1.0_top1_73.512-f206786ef8.pth 2025-12-04T12:38:57.4954286Z 2025-12-04T12:38:57.4954447Z 2025-12-04T12:38:57.5368105Z 0% 0.00/16.9M [00:00 will be ignored 2025-12-04T12:40:40.2683689Z [rank0]:W1204 12:40:40.267000 2802 site-packages/torch/_dynamo/backends/distributed.py:110] [4/0_1] Some buckets were extended beyond their requested parameter capacities in order to ensure each subgraph has an output node, required for fx graph partitioning. This can be the case when a subgraph would have only contained nodes performing inplace mutation, and returning no logical outputs. This should not be a problem, unless it results in too few graph partitions for optimal DDP performance. 2025-12-04T12:40:40.2931469Z [rank0]:W1204 12:40:40.292000 2802 site-packages/torch/_dynamo/backends/distributed.py:127] [4/0_1] DDPOptimizer extended these buckets to ensure per-subgraph output nodes: 2025-12-04T12:40:40.2933376Z [rank0]:W1204 12:40:40.292000 2802 site-packages/torch/_dynamo/backends/distributed.py:127] [4/0_1] ┌─────────┬─────────────┬────────────────────────┐ 2025-12-04T12:40:40.2934475Z [rank0]:W1204 12:40:40.292000 2802 site-packages/torch/_dynamo/backends/distributed.py:127] [4/0_1] │ Index │ Extra Ops │ Extra Param Size (b) │ 2025-12-04T12:40:40.2935557Z [rank0]:W1204 12:40:40.292000 2802 site-packages/torch/_dynamo/backends/distributed.py:127] [4/0_1] ├─────────┼─────────────┼────────────────────────┤ 2025-12-04T12:40:40.2936605Z [rank0]:W1204 12:40:40.292000 2802 site-packages/torch/_dynamo/backends/distributed.py:127] [4/0_1] │ 0 │ 470 │ 44910720 │ 2025-12-04T12:40:40.2937658Z [rank0]:W1204 12:40:40.292000 2802 site-packages/torch/_dynamo/backends/distributed.py:127] [4/0_1] └─────────┴─────────────┴────────────────────────┘ 2025-12-04T12:41:06.1079463Z [rank0]:W1204 12:41:06.107000 2802 site-packages/torch/_dynamo/variables/tensor.py:1073] [7/0] Graph break from `Tensor.item()`, consider setting: 2025-12-04T12:41:06.1080481Z [rank0]:W1204 12:41:06.107000 2802 site-packages/torch/_dynamo/variables/tensor.py:1073] [7/0] torch._dynamo.config.capture_scalar_outputs = True 2025-12-04T12:41:06.1081344Z [rank0]:W1204 12:41:06.107000 2802 site-packages/torch/_dynamo/variables/tensor.py:1073] [7/0] or: 2025-12-04T12:41:06.1082110Z [rank0]:W1204 12:41:06.107000 2802 site-packages/torch/_dynamo/variables/tensor.py:1073] [7/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-12-04T12:41:06.1083037Z [rank0]:W1204 12:41:06.107000 2802 site-packages/torch/_dynamo/variables/tensor.py:1073] [7/0] to include these operations in the captured graph. 2025-12-04T12:41:06.1084232Z [rank0]:W1204 12:41:06.107000 2802 site-packages/torch/_dynamo/variables/tensor.py:1073] [7/0] 2025-12-04T12:41:06.1084966Z [rank0]:W1204 12:41:06.107000 2802 site-packages/torch/_dynamo/variables/tensor.py:1073] [7/0] Graph break: from user code at: 2025-12-04T12:41:06.1086107Z [rank0]:W1204 12:41:06.107000 2802 site-packages/torch/_dynamo/variables/tensor.py:1073] [7/0] File "/torchbench/torchbenchmark/models/moco/moco/builder.py", line 167, in torch_dynamo_resume_in_forward_at_142 2025-12-04T12:41:06.1087234Z [rank0]:W1204 12:41:06.107000 2802 site-packages/torch/_dynamo/variables/tensor.py:1073] [7/0] self._dequeue_and_enqueue(k) 2025-12-04T12:41:06.1088364Z [rank0]:W1204 12:41:06.107000 2802 site-packages/torch/_dynamo/variables/tensor.py:1073] [7/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context 2025-12-04T12:41:06.1089537Z [rank0]:W1204 12:41:06.107000 2802 site-packages/torch/_dynamo/variables/tensor.py:1073] [7/0] return func(*args, **kwargs) 2025-12-04T12:41:06.1090596Z [rank0]:W1204 12:41:06.107000 2802 site-packages/torch/_dynamo/variables/tensor.py:1073] [7/0] File "/torchbench/torchbenchmark/models/moco/moco/builder.py", line 68, in _dequeue_and_enqueue 2025-12-04T12:41:06.1091650Z [rank0]:W1204 12:41:06.107000 2802 site-packages/torch/_dynamo/variables/tensor.py:1073] [7/0] ptr = int(self.queue_ptr) 2025-12-04T12:41:06.1092524Z [rank0]:W1204 12:41:06.107000 2802 site-packages/torch/_dynamo/variables/tensor.py:1073] [7/0] 2025-12-04T12:41:06.1093127Z [rank0]:W1204 12:41:06.107000 2802 site-packages/torch/_dynamo/variables/tensor.py:1073] [7/0] 2025-12-04T12:41:19.1954899Z Compilation time (from dynamo_timed): 47.349842464 2025-12-04T12:41:19.1955259Z pass 2025-12-04T12:41:19.1977166Z TIMING: gc:0.0075 entire_frame_compile:47.34984 _recursive_pre_grad_passes:0.10715 _recursive_joint_graph_passes:0.36472 _recursive_post_grad_passes:0.46606 async_compile.wait:2.62298 code_gen:10.00762 inductor_compile:17.26052 pad_mm_benchmark:0.00172 backend_compile:27.8502 cudagraphify.get_container:0.00162 CachingAutotuner.benchmark_all_configs:1.65185 CUDAGraphNode.record:0.01864 total_wall_time:47.34984 2025-12-04T12:41:19.1979116Z STATS: call_* op count: 877 | FakeTensorMode.__torch_dispatch__:19720 | FakeTensor.__torch_dispatch__:19430 | ProxyTorchDispatchMode.__torch_dispatch__:6194 2025-12-04T12:41:19.1979921Z Dynamo produced 7 graphs covering 877 ops with 7 graph breaks (4 unique) 2025-12-04T12:41:20.8971199Z [rank0]:[W1204 12:41:20.913960354 ProcessGroupNCCL.cpp:1553] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) 2025-12-04T12:41:23.5183641Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:41:23.5185391Z import pynvml # type: ignore[import] 2025-12-04T12:41:26.1638046Z 2025-12-04T12:41:26.8354426Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:41:26.8354771Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:41:26.8355107Z cuda eval moondream 2025-12-04T12:41:26.8355429Z Traceback (most recent call last): 2025-12-04T12:41:26.8355897Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4280, in run 2025-12-04T12:41:26.8356342Z ) = runner.load_model( 2025-12-04T12:41:26.8356793Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 312, in load_model 2025-12-04T12:41:26.8357284Z benchmark = benchmark_cls( 2025-12-04T12:41:26.8357656Z File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__ 2025-12-04T12:41:26.8358087Z obj = type.__call__(cls, *args, **kwargs) 2025-12-04T12:41:26.8358813Z File "/torchbench/torchbenchmark/models/moondream/__init__.py", line 12, in __init__ 2025-12-04T12:41:26.8359269Z super().__init__( 2025-12-04T12:41:26.8359733Z File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__ 2025-12-04T12:41:26.8360249Z super().__init__( 2025-12-04T12:41:26.8360602Z File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__ 2025-12-04T12:41:26.8361003Z self._skip_by_device_name() 2025-12-04T12:41:26.8361426Z File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name 2025-12-04T12:41:26.8361885Z raise NotImplementedError( 2025-12-04T12:41:26.8362364Z NotImplementedError: The current device NVIDIA A10G is skipped by its `moondream/metadata.yaml`. 2025-12-04T12:41:26.8362762Z 2025-12-04T12:41:26.8362847Z model_fail_to_load 2025-12-04T12:41:28.2902171Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:41:28.2903865Z import pynvml # type: ignore[import] 2025-12-04T12:41:30.9433036Z 2025-12-04T12:41:32.6696908Z loading model: 0it [00:00, ?it/s]number of parameters: 123.69M 2025-12-04T12:41:32.9084192Z num decayed parameter tensors: 50, with 124,354,560 parameters 2025-12-04T12:41:32.9085468Z num non-decayed parameter tensors: 98, with 121,344 parameters 2025-12-04T12:41:32.9085837Z using fused AdamW: True 2025-12-04T12:41:33.2610720Z 2025-12-04T12:41:33.2611133Z loading model: 0it [00:02, ?it/s] 2025-12-04T12:41:33.2655352Z cuda eval nanogpt 2025-12-04T12:41:55.4388890Z Compilation time (from dynamo_timed): 21.00725451 2025-12-04T12:41:55.4389328Z pass 2025-12-04T12:41:55.4398938Z TIMING: _recursive_pre_grad_passes:0.01005 pad_mm_benchmark:0.02471 _recursive_joint_graph_passes:0.55596 _recursive_post_grad_passes:2.02937 async_compile.wait:0.20048 code_gen:2.05533 inductor_compile:7.48843 backend_compile:16.65473 gc:0.00081 entire_frame_compile:21.00725 cudagraphify.get_container:0.00209 CachingAutotuner.benchmark_all_configs:0.05033 CUDAGraphNode.record:0.00898 total_wall_time:21.00725 2025-12-04T12:41:55.4401331Z STATS: call_* op count: 393 | FakeTensorMode.__torch_dispatch__:7783 | attempt fast:44 | fast is_contiguous:44 | FakeTensor.__torch_dispatch__:4760 | ProxyTorchDispatchMode.__torch_dispatch__:2245 2025-12-04T12:41:55.4402320Z Dynamo produced 1 graphs covering 393 ops with 0 graph breaks (0 unique) 2025-12-04T12:41:58.9634937Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:41:58.9636696Z import pynvml # type: ignore[import] 2025-12-04T12:42:01.6109635Z 2025-12-04T12:42:03.8594817Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:42:03.8595166Z loading model: 0it [00:02, ?it/s] 2025-12-04T12:42:03.8599082Z cuda eval nvidia_deeprecommender 2025-12-04T12:42:07.4364629Z Compilation time (from dynamo_timed): 2.637906999 2025-12-04T12:42:07.4364994Z pass 2025-12-04T12:42:07.4380561Z TIMING: _recursive_pre_grad_passes:0.00372 pad_mm_benchmark:0.00332 _recursive_joint_graph_passes:0.3183 _recursive_post_grad_passes:0.08602 async_compile.precompile:0.6105 async_compile.wait:0.00017 code_gen:0.77647 inductor_compile:1.03447 backend_compile:2.26068 gc:0.00324 entire_frame_compile:2.63791 cudagraphify.get_container:0.00248 CachingAutotuner.benchmark_all_configs:0.08035 CUDAGraphNode.record:0.00168 total_wall_time:2.63791 2025-12-04T12:42:07.4382640Z STATS: call_* op count: 13 | FakeTensorMode.__torch_dispatch__:1004 | ProxyTorchDispatchMode.__torch_dispatch__:248 | FakeTensor.__torch_dispatch__:411 2025-12-04T12:42:07.4383673Z Dynamo produced 1 graphs covering 13 ops with 0 graph breaks (0 unique) 2025-12-04T12:42:10.3527747Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:42:10.3529415Z import pynvml # type: ignore[import] 2025-12-04T12:42:12.9816128Z 2025-12-04T12:42:14.1363231Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:42:14.1364077Z loading model: 0it [00:01, ?it/s] 2025-12-04T12:42:14.1382520Z cuda eval opacus_cifar10 2025-12-04T12:42:22.6046317Z Compilation time (from dynamo_timed): 7.163711132 2025-12-04T12:42:22.6046817Z pass 2025-12-04T12:42:22.6048448Z TIMING: _recursive_pre_grad_passes:0.00513 pad_mm_benchmark:0.0006 _recursive_joint_graph_passes:0.23458 _recursive_post_grad_passes:0.06173 async_compile.wait:0.13724 code_gen:2.26937 inductor_compile:3.49974 backend_compile:5.2955 gc:0.00066 entire_frame_compile:7.16371 cudagraphify.get_container:0.00213 CachingAutotuner.benchmark_all_configs:0.38698 CUDAGraphNode.record:0.00351 total_wall_time:7.16371 2025-12-04T12:42:22.6050328Z STATS: call_* op count: 69 | FakeTensorMode.__torch_dispatch__:2669 | FakeTensor.__torch_dispatch__:2299 | ProxyTorchDispatchMode.__torch_dispatch__:867 2025-12-04T12:42:22.6051091Z Dynamo produced 1 graphs covering 69 ops with 0 graph breaks (0 unique) 2025-12-04T12:42:25.1954475Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:42:25.1956152Z import pynvml # type: ignore[import] 2025-12-04T12:42:27.8425847Z 2025-12-04T12:42:28.6366694Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:42:28.6367140Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:42:28.6438308Z cuda eval phlippe_densenet 2025-12-04T12:42:47.2558069Z Compilation time (from dynamo_timed): 16.238937816 2025-12-04T12:42:47.2558424Z pass 2025-12-04T12:42:47.2559841Z TIMING: _recursive_pre_grad_passes:0.00885 pad_mm_benchmark:0.00064 _recursive_joint_graph_passes:0.23224 _recursive_post_grad_passes:0.16323 async_compile.wait:1.03772 code_gen:5.819 inductor_compile:8.58225 backend_compile:12.33936 gc:9e-05 entire_frame_compile:16.23894 cudagraphify.get_container:0.00212 CachingAutotuner.benchmark_all_configs:1.35366 CUDAGraphNode.record:0.00678 total_wall_time:16.23894 2025-12-04T12:42:47.2561737Z STATS: call_* op count: 186 | FakeTensorMode.__torch_dispatch__:7602 | FakeTensor.__torch_dispatch__:6779 | ProxyTorchDispatchMode.__torch_dispatch__:2328 2025-12-04T12:42:47.2562522Z Dynamo produced 1 graphs covering 186 ops with 0 graph breaks (0 unique) 2025-12-04T12:42:50.2100030Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:42:50.2101781Z import pynvml # type: ignore[import] 2025-12-04T12:42:52.8481134Z 2025-12-04T12:42:53.5110409Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:42:53.5110751Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:42:53.5138463Z cuda eval phlippe_resnet 2025-12-04T12:43:00.5382787Z Compilation time (from dynamo_timed): 5.903613913 2025-12-04T12:43:00.5383155Z pass 2025-12-04T12:43:00.5384911Z TIMING: _recursive_pre_grad_passes:0.00642 pad_mm_benchmark:0.0006 _recursive_joint_graph_passes:0.19244 _recursive_post_grad_passes:0.07083 async_compile.wait:0.74212 code_gen:1.61573 inductor_compile:2.67823 backend_compile:4.37461 gc:0.00108 entire_frame_compile:5.90361 cudagraphify.get_container:0.00209 CachingAutotuner.benchmark_all_configs:0.29051 CUDAGraphNode.record:0.0036 total_wall_time:5.90361 2025-12-04T12:43:00.5386796Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:2818 | FakeTensor.__torch_dispatch__:2516 | ProxyTorchDispatchMode.__torch_dispatch__:880 2025-12-04T12:43:00.5387565Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique) 2025-12-04T12:43:03.0496827Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:43:03.0498581Z import pynvml # type: ignore[import] 2025-12-04T12:43:05.6966670Z 2025-12-04T12:43:06.1334539Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:43:06.1334946Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:43:06.1335290Z cuda eval pyhpc_equation_of_state 2025-12-04T12:43:12.7382071Z Compilation time (from dynamo_timed): 5.942365955 2025-12-04T12:43:12.7382468Z pass 2025-12-04T12:43:12.7383628Z TIMING: _recursive_pre_grad_passes:0.0076 _recursive_joint_graph_passes:0.18362 _recursive_post_grad_passes:0.0754 async_compile.wait:0.29869 code_gen:2.99645 inductor_compile:3.79125 backend_compile:5.42876 gc:0.00086 entire_frame_compile:5.94237 cudagraphify.get_container:0.00266 CUDAGraphNode.record:0.00088 total_wall_time:5.94237 2025-12-04T12:43:12.7385258Z STATS: call_* op count: 366 | FakeTensorMode.__torch_dispatch__:2664 | ProxyTorchDispatchMode.__torch_dispatch__:764 | FakeTensor.__torch_dispatch__:3037 2025-12-04T12:43:12.7386312Z Dynamo produced 1 graphs covering 366 ops with 0 graph breaks (0 unique) 2025-12-04T12:43:15.1364500Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:43:15.1366210Z import pynvml # type: ignore[import] 2025-12-04T12:43:17.7855070Z 2025-12-04T12:43:18.2439374Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:43:18.2439715Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:43:18.2443750Z cuda eval pyhpc_isoneutral_mixing 2025-12-04T12:43:29.7634541Z skipping cudagraphs due to mutated inputs (7 instances). Found from : 2025-12-04T12:43:29.7635463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T12:43:29.7636008Z return mod(*inputs) 2025-12-04T12:43:29.7636482Z File "/torchbench/torchbenchmark/models/pyhpc_isoneutral_mixing/__init__.py", line 100, in forward 2025-12-04T12:43:29.7637063Z return isoneutral_pytorch.isoneutral_diffusion_pre( 2025-12-04T12:43:29.7637752Z File "/torchbench/torchbenchmark/models/pyhpc_isoneutral_mixing/isoneutral_pytorch.py", line 164, in isoneutral_diffusion_pre 2025-12-04T12:43:29.7638438Z Ai_ez[1:-2, 2:-2, ki:, ip, kr] = taper * sxe * maskU[1:-2, 2:-2, ki:] 2025-12-04T12:43:29.7638707Z 2025-12-04T12:43:29.7929133Z Compilation time (from dynamo_timed): 10.900591532 2025-12-04T12:43:29.7929593Z pass 2025-12-04T12:43:29.7931048Z TIMING: _recursive_pre_grad_passes:0.01201 _recursive_joint_graph_passes:0.43604 _recursive_post_grad_passes:1.2909 async_compile.wait:0.07238 code_gen:0.83662 inductor_compile:4.93425 backend_compile:9.35283 gc:0.00114 entire_frame_compile:10.90059 cudagraphify.get_container:0.00224 total_wall_time:10.90059 2025-12-04T12:43:29.7932604Z STATS: call_* op count: 744 | FakeTensorMode.__torch_dispatch__:14392 | FakeTensor.__torch_dispatch__:7478 | ProxyTorchDispatchMode.__torch_dispatch__:2898 2025-12-04T12:43:29.7933381Z Dynamo produced 1 graphs covering 744 ops with 0 graph breaks (0 unique) 2025-12-04T12:43:32.5292318Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:43:32.5294307Z import pynvml # type: ignore[import] 2025-12-04T12:43:35.1757015Z 2025-12-04T12:43:36.0573957Z loading model: 0it [00:00, ?it/s]WARNING:common:Model pyhpc_turbulent_kinetic_energy does not support bfloat16, running with amp instead 2025-12-04T12:43:36.1940724Z 2025-12-04T12:43:36.1941051Z loading model: 0it [00:01, ?it/s] 2025-12-04T12:43:36.1941726Z WARNING:common:Model pyhpc_turbulent_kinetic_energy does not support bfloat16, running with amp instead 2025-12-04T12:43:36.1942272Z cuda eval pyhpc_turbulent_kinetic_energy 2025-12-04T12:43:36.2393535Z WARNING:common:Model pyhpc_turbulent_kinetic_energy does not support bfloat16, running with amp instead 2025-12-04T12:44:00.1799196Z Compilation time (from dynamo_timed): 20.343397346 2025-12-04T12:44:00.1799678Z pass 2025-12-04T12:44:00.1857386Z TIMING: _recursive_pre_grad_passes:0.01525 _recursive_joint_graph_passes:0.25134 _recursive_post_grad_passes:1.22757 async_compile.wait:0.444 code_gen:9.47546 inductor_compile:14.0989 backend_compile:18.61904 gc:0.00119 entire_frame_compile:20.3434 cudagraphify.get_container:0.00354 CachingAutotuner.benchmark_all_configs:2.87766 CUDAGraphNode.record:0.00272 total_wall_time:20.3434 2025-12-04T12:44:00.1859233Z STATS: call_* op count: 996 | FakeTensorMode.__torch_dispatch__:15093 | FakeTensor.__torch_dispatch__:7290 | ProxyTorchDispatchMode.__torch_dispatch__:2796 2025-12-04T12:44:00.1860431Z Dynamo produced 1 graphs covering 996 ops with 0 graph breaks (0 unique) 2025-12-04T12:44:03.2571977Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:44:03.2573692Z import pynvml # type: ignore[import] 2025-12-04T12:44:05.9156148Z 2025-12-04T12:44:07.4816541Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:44:07.4816918Z loading model: 0it [00:01, ?it/s] 2025-12-04T12:44:07.4830047Z cuda eval pytorch_CycleGAN_and_pix2pix 2025-12-04T12:44:19.0180659Z Compilation time (from dynamo_timed): 7.692267231 2025-12-04T12:44:19.0181003Z pass 2025-12-04T12:44:19.0189677Z TIMING: _recursive_pre_grad_passes:0.00554 _recursive_joint_graph_passes:0.21857 _recursive_post_grad_passes:0.08155 async_compile.wait:0.35233 code_gen:3.07273 inductor_compile:4.51342 backend_compile:6.35833 gc:0.00102 entire_frame_compile:7.69227 cudagraphify.get_container:0.00212 CachingAutotuner.benchmark_all_configs:0.25434 CUDAGraphNode.record:0.00378 total_wall_time:7.69227 2025-12-04T12:44:19.0191922Z STATS: call_* op count: 91 | FakeTensorMode.__torch_dispatch__:3314 | FakeTensor.__torch_dispatch__:2703 | ProxyTorchDispatchMode.__torch_dispatch__:1219 2025-12-04T12:44:19.0192690Z Dynamo produced 1 graphs covering 91 ops with 0 graph breaks (0 unique) 2025-12-04T12:44:21.5554885Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:44:21.5556546Z import pynvml # type: ignore[import] 2025-12-04T12:44:24.2372377Z 2025-12-04T12:44:25.6364205Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:44:25.6364575Z loading model: 0it [00:01, ?it/s] 2025-12-04T12:44:25.6388300Z cuda eval pytorch_stargan 2025-12-04T12:44:42.0373229Z Compilation time (from dynamo_timed): 7.070664689 2025-12-04T12:44:42.0373595Z pass 2025-12-04T12:44:42.0388412Z TIMING: _recursive_pre_grad_passes:0.00543 _recursive_joint_graph_passes:0.27955 _recursive_post_grad_passes:0.07286 async_compile.wait:0.23186 code_gen:2.0555 inductor_compile:3.42285 backend_compile:5.62118 gc:0.0008 entire_frame_compile:7.07066 cudagraphify.get_container:0.00416 CachingAutotuner.benchmark_all_configs:0.20023 CUDAGraphNode.record:0.00312 total_wall_time:7.07066 2025-12-04T12:44:42.0390489Z STATS: call_* op count: 56 | FakeTensorMode.__torch_dispatch__:4266 | FakeTensor.__torch_dispatch__:2853 | ProxyTorchDispatchMode.__torch_dispatch__:1281 2025-12-04T12:44:42.0391689Z Dynamo produced 1 graphs covering 56 ops with 0 graph breaks (0 unique) 2025-12-04T12:44:44.6083897Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:44:44.6085989Z import pynvml # type: ignore[import] 2025-12-04T12:44:47.2648967Z 2025-12-04T12:44:48.1132478Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:44:48.1132801Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:44:48.1157635Z cuda eval pytorch_unet 2025-12-04T12:45:07.0585016Z Compilation time (from dynamo_timed): 8.523630776 2025-12-04T12:45:07.0585397Z pass 2025-12-04T12:45:07.0616400Z TIMING: _recursive_pre_grad_passes:0.00623 _recursive_joint_graph_passes:0.20674 _recursive_post_grad_passes:0.0877 async_compile.wait:0.18283 code_gen:3.07883 inductor_compile:4.55716 backend_compile:6.72178 gc:0.00091 entire_frame_compile:8.52363 cudagraphify.get_container:0.00238 CachingAutotuner.benchmark_all_configs:1.9362 CUDAGraphNode.record:0.00358 total_wall_time:8.52363 2025-12-04T12:45:07.0618604Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:4253 | FakeTensor.__torch_dispatch__:3346 | ProxyTorchDispatchMode.__torch_dispatch__:1272 2025-12-04T12:45:07.0619543Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique) 2025-12-04T12:45:09.6726914Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:45:09.6728136Z import pynvml # type: ignore[import] 2025-12-04T12:45:12.3124988Z 2025-12-04T12:45:13.1196717Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/resnet152-394f9c45.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/resnet152-394f9c45.pth 2025-12-04T12:45:13.1682953Z 2025-12-04T12:45:13.1683173Z 2025-12-04T12:45:13.2688305Z 0% 0.00/230M [00:00 2025-12-04T12:51:52.7588040Z torchbench_main() 2025-12-04T12:51:52.7588688Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in torchbench_main 2025-12-04T12:51:52.7589263Z main(TorchBenchmarkRunner(), original_dir) 2025-12-04T12:51:52.7589781Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3730, in main 2025-12-04T12:51:52.7594575Z process_entry(0, runner, original_dir, args) 2025-12-04T12:51:52.7595113Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3655, in process_entry 2025-12-04T12:51:52.7599553Z result = run(runner, args, original_dir) 2025-12-04T12:51:52.7600078Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4359, in run 2025-12-04T12:51:52.7605831Z assert marked, f"nothing in example_inputs had a dim with {batch_size}" 2025-12-04T12:51:52.7606518Z AssertionError: nothing in example_inputs had a dim with 4 2025-12-04T12:51:56.7552984Z Run failed with return code: 1 2025-12-04T12:51:56.7553413Z Output: None 2025-12-04T12:51:56.7553702Z Error: None 2025-12-04T12:51:57.2564415Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:51:57.2566196Z import pynvml # type: ignore[import] 2025-12-04T12:51:59.8872816Z 2025-12-04T12:52:00.2388473Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/shufflenetv2_x1-5666bf0f80.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/shufflenetv2_x1-5666bf0f80.pth 2025-12-04T12:52:00.2559159Z 2025-12-04T12:52:00.2559230Z 2025-12-04T12:52:00.2936402Z 0% 0.00/8.79M [00:00 2025-12-04T12:56:04.2349083Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T12:56:04.2349480Z 2025-12-04T12:56:04.2349656Z cudagraph partition due to DeviceCopy ops. Found from : 2025-12-04T12:56:04.2350310Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-12-04T12:56:04.2350931Z anchors = self.anchor_generator(images, features) 2025-12-04T12:56:04.2351574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward 2025-12-04T12:56:04.2352196Z self.set_cell_anchors(dtype, device) 2025-12-04T12:56:04.2352901Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-12-04T12:56:04.2353739Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T12:56:04.2354544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-12-04T12:56:04.2355355Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T12:56:04.2356007Z 2025-12-04T12:56:04.2356181Z cudagraph partition due to DeviceCopy ops. Found from : 2025-12-04T12:56:04.2356811Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-12-04T12:56:04.2357418Z anchors = self.anchor_generator(images, features) 2025-12-04T12:56:04.2358059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward 2025-12-04T12:56:04.2358674Z self.set_cell_anchors(dtype, device) 2025-12-04T12:56:04.2359314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-12-04T12:56:04.2360145Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T12:56:04.2360952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-12-04T12:56:04.2361784Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T12:56:04.2362167Z 2025-12-04T12:56:04.2362338Z cudagraph partition due to DeviceCopy ops. Found from : 2025-12-04T12:56:04.2363012Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-12-04T12:56:04.2363624Z anchors = self.anchor_generator(images, features) 2025-12-04T12:56:04.2364270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward 2025-12-04T12:56:04.2364884Z self.set_cell_anchors(dtype, device) 2025-12-04T12:56:04.2365530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-12-04T12:56:04.2366363Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T12:56:04.2367180Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-12-04T12:56:04.2367979Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T12:56:04.2368370Z 2025-12-04T12:56:04.2368532Z cudagraph partition due to DeviceCopy ops. Found from : 2025-12-04T12:56:04.2369160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-12-04T12:56:04.2369858Z anchors = self.anchor_generator(images, features) 2025-12-04T12:56:04.2370500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward 2025-12-04T12:56:04.2371122Z self.set_cell_anchors(dtype, device) 2025-12-04T12:56:04.2371763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-12-04T12:56:04.2372609Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T12:56:04.2373410Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-12-04T12:56:04.2374214Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T12:56:04.2374599Z 2025-12-04T12:56:04.2869753Z cudagraph partition into 2 partitions 2025-12-04T12:56:07.3978674Z W1204 12:56:07.397000 19924 site-packages/torch/_dynamo/variables/tensor.py:1073] [12/0] Graph break from `Tensor.item()`, consider setting: 2025-12-04T12:56:07.3979651Z W1204 12:56:07.397000 19924 site-packages/torch/_dynamo/variables/tensor.py:1073] [12/0] torch._dynamo.config.capture_scalar_outputs = True 2025-12-04T12:56:07.3980433Z W1204 12:56:07.397000 19924 site-packages/torch/_dynamo/variables/tensor.py:1073] [12/0] or: 2025-12-04T12:56:07.3981701Z W1204 12:56:07.397000 19924 site-packages/torch/_dynamo/variables/tensor.py:1073] [12/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-12-04T12:56:07.3982622Z W1204 12:56:07.397000 19924 site-packages/torch/_dynamo/variables/tensor.py:1073] [12/0] to include these operations in the captured graph. 2025-12-04T12:56:07.3983374Z W1204 12:56:07.397000 19924 site-packages/torch/_dynamo/variables/tensor.py:1073] [12/0] 2025-12-04T12:56:07.3984076Z W1204 12:56:07.397000 19924 site-packages/torch/_dynamo/variables/tensor.py:1073] [12/0] Graph break: from user code at: 2025-12-04T12:56:07.3985385Z W1204 12:56:07.397000 19924 site-packages/torch/_dynamo/variables/tensor.py:1073] [12/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/generalized_rcnn.py", line 118, in torch_dynamo_resume_in_forward_at_117 2025-12-04T12:56:07.3986912Z W1204 12:56:07.397000 19924 site-packages/torch/_dynamo/variables/tensor.py:1073] [12/0] detections, detector_losses = self.roi_heads(features, proposals, images.image_sizes, targets) 2025-12-04T12:56:07.3988271Z W1204 12:56:07.397000 19924 site-packages/torch/_dynamo/variables/tensor.py:1073] [12/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 763, in forward 2025-12-04T12:56:07.3989521Z W1204 12:56:07.397000 19924 site-packages/torch/_dynamo/variables/tensor.py:1073] [12/0] box_features = self.box_roi_pool(features, proposals, image_shapes) 2025-12-04T12:56:07.3990713Z W1204 12:56:07.397000 19924 site-packages/torch/_dynamo/variables/tensor.py:1073] [12/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 310, in forward 2025-12-04T12:56:07.3991838Z W1204 12:56:07.397000 19924 site-packages/torch/_dynamo/variables/tensor.py:1073] [12/0] self.scales, self.map_levels = _setup_scales( 2025-12-04T12:56:07.3992989Z W1204 12:56:07.397000 19924 site-packages/torch/_dynamo/variables/tensor.py:1073] [12/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 122, in _setup_scales 2025-12-04T12:56:07.3994218Z W1204 12:56:07.397000 19924 site-packages/torch/_dynamo/variables/tensor.py:1073] [12/0] scales = [_infer_scale(feat, original_input_shape) for feat in features] 2025-12-04T12:56:07.3995419Z W1204 12:56:07.397000 19924 site-packages/torch/_dynamo/variables/tensor.py:1073] [12/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 122, in 2025-12-04T12:56:07.3996784Z W1204 12:56:07.397000 19924 site-packages/torch/_dynamo/variables/tensor.py:1073] [12/0] scales = [_infer_scale(feat, original_input_shape) for feat in features] 2025-12-04T12:56:07.3997991Z W1204 12:56:07.397000 19924 site-packages/torch/_dynamo/variables/tensor.py:1073] [12/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 104, in _infer_scale 2025-12-04T12:56:07.3999171Z W1204 12:56:07.397000 19924 site-packages/torch/_dynamo/variables/tensor.py:1073] [12/0] scale = 2 ** float(torch.tensor(approx_scale).log2().round()) 2025-12-04T12:56:07.3999959Z W1204 12:56:07.397000 19924 site-packages/torch/_dynamo/variables/tensor.py:1073] [12/0] 2025-12-04T12:56:07.4000543Z W1204 12:56:07.397000 19924 site-packages/torch/_dynamo/variables/tensor.py:1073] [12/0] 2025-12-04T12:56:07.8972366Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T12:56:07.8973176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 125, in torch_dynamo_resume_in__setup_scales_at_122 2025-12-04T12:56:07.8973970Z lvl_min = -torch.log2(torch.tensor(scales[0], dtype=torch.float32)).item() 2025-12-04T12:56:07.8974285Z 2025-12-04T12:56:10.5077214Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T12:56:10.5078435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 126, in torch_dynamo_resume_in__setup_scales_at_125 2025-12-04T12:56:10.5080281Z lvl_max = -torch.log2(torch.tensor(scales[-1], dtype=torch.float32)).item() 2025-12-04T12:56:10.5080797Z 2025-12-04T12:57:20.6987392Z ERROR:common: 2025-12-04T12:57:20.6987682Z Traceback (most recent call last): 2025-12-04T12:57:20.6988183Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2333, in check_accuracy 2025-12-04T12:57:20.6988696Z new_result = self.run_n_iterations( 2025-12-04T12:57:20.6989514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2044, in run_n_iterations 2025-12-04T12:57:20.6990319Z return model_iter_fn(mod, inputs, collect_outputs=True) 2025-12-04T12:57:20.6991171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 926, in compile_wrapper 2025-12-04T12:57:20.6991948Z return fn(*args, **kwargs) 2025-12-04T12:57:20.6992426Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T12:57:20.6992919Z return mod(*inputs) 2025-12-04T12:57:20.6993471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T12:57:20.6994063Z return self._call_impl(*args, **kwargs) 2025-12-04T12:57:20.6994623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T12:57:20.6995185Z return forward_call(*args, **kwargs) 2025-12-04T12:57:20.6995824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/generalized_rcnn.py", line 117, in forward 2025-12-04T12:57:20.6996557Z proposals, proposal_losses = self.rpn(images, features, targets) 2025-12-04T12:57:20.6997237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T12:57:20.6997836Z return self._call_impl(*args, **kwargs) 2025-12-04T12:57:20.6998384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T12:57:20.6998944Z return forward_call(*args, **kwargs) 2025-12-04T12:57:20.6999498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 2194, in __call__ 2025-12-04T12:57:20.7000067Z result = self._torchdynamo_orig_backend( 2025-12-04T12:57:20.7000618Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1937, in __call__ 2025-12-04T12:57:20.7001166Z result = self._inner_convert( 2025-12-04T12:57:20.7002041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 706, in __call__ 2025-12-04T12:57:20.7002577Z result = _compile( 2025-12-04T12:57:20.7003076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1807, in _compile 2025-12-04T12:57:20.7003633Z raise InternalTorchDynamoError( 2025-12-04T12:57:20.7004183Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1744, in _compile 2025-12-04T12:57:20.7004822Z guarded_code, tracer_output = compile_inner(code, one_graph, hooks) 2025-12-04T12:57:20.7005472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_utils_internal.py", line 97, in wrapper_function 2025-12-04T12:57:20.7006022Z return function(*args, **kwargs) 2025-12-04T12:57:20.7006572Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1425, in compile_inner 2025-12-04T12:57:20.7007179Z return _compile_inner(code, one_graph, hooks) 2025-12-04T12:57:20.7007782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1459, in _compile_inner 2025-12-04T12:57:20.7008363Z dynamo_output = compile_frame( 2025-12-04T12:57:20.7008919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1341, in compile_frame 2025-12-04T12:57:20.7009785Z bytecode, tracer_output = transform_code_object(code, transform) 2025-12-04T12:57:20.7010519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/bytecode_transformation.py", line 1600, in transform_code_object 2025-12-04T12:57:20.7011239Z tracer_output = transformations(instructions, code_options) 2025-12-04T12:57:20.7011858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1313, in transform 2025-12-04T12:57:20.7012448Z tracer_output = trace_frame( 2025-12-04T12:57:20.7012970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 328, in _fn 2025-12-04T12:57:20.7013490Z return fn(*args, **kwargs) 2025-12-04T12:57:20.7014014Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 837, in trace_frame 2025-12-04T12:57:20.7014551Z run_tracer() 2025-12-04T12:57:20.7015030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 818, in run_tracer 2025-12-04T12:57:20.7015564Z tracer.run() 2025-12-04T12:57:20.7016038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1639, in run 2025-12-04T12:57:20.7016567Z while self.step(): 2025-12-04T12:57:20.7017054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1319, in step 2025-12-04T12:57:20.7017636Z self.dispatch_table[inst.opcode](self, inst) 2025-12-04T12:57:20.7018219Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 858, in wrapper 2025-12-04T12:57:20.7018766Z return inner_fn(self, inst) 2025-12-04T12:57:20.7019321Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2496, in CALL_FUNCTION 2025-12-04T12:57:20.7019902Z self.call_function(fn, args, {}) 2025-12-04T12:57:20.7020473Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1225, in call_function 2025-12-04T12:57:20.7021166Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-12-04T12:57:20.7021999Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/lazy.py", line 218, in realize_and_forward 2025-12-04T12:57:20.7022673Z return getattr(self.realize(), name)(*args, **kwargs) 2025-12-04T12:57:20.7023352Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/nn_module.py", line 1148, in call_function 2025-12-04T12:57:20.7024165Z return variables.UserFunctionVariable(fn, source=source).call_function( 2025-12-04T12:57:20.7024895Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 678, in call_function 2025-12-04T12:57:20.7025877Z return super().call_function(tx, args, kwargs) 2025-12-04T12:57:20.7026705Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 394, in call_function 2025-12-04T12:57:20.7027507Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) # type: ignore[attr-defined] 2025-12-04T12:57:20.7028351Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1247, in inline_user_function_return 2025-12-04T12:57:20.7029123Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-12-04T12:57:20.7029844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4723, in inline_call 2025-12-04T12:57:20.7030420Z return tracer.inline_call_() 2025-12-04T12:57:20.7030986Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4940, in inline_call_ 2025-12-04T12:57:20.7031547Z self.run() 2025-12-04T12:57:20.7032023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1639, in run 2025-12-04T12:57:20.7032721Z while self.step(): 2025-12-04T12:57:20.7033219Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1319, in step 2025-12-04T12:57:20.7033794Z self.dispatch_table[inst.opcode](self, inst) 2025-12-04T12:57:20.7034371Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 858, in wrapper 2025-12-04T12:57:20.7034921Z return inner_fn(self, inst) 2025-12-04T12:57:20.7035487Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2496, in CALL_FUNCTION 2025-12-04T12:57:20.7036081Z self.call_function(fn, args, {}) 2025-12-04T12:57:20.7036653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1225, in call_function 2025-12-04T12:57:20.7037341Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-12-04T12:57:20.7038050Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 1437, in call_function 2025-12-04T12:57:20.7038674Z return super().call_function(tx, args, kwargs) 2025-12-04T12:57:20.7039309Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 678, in call_function 2025-12-04T12:57:20.7039930Z return super().call_function(tx, args, kwargs) 2025-12-04T12:57:20.7040549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 394, in call_function 2025-12-04T12:57:20.7041360Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) # type: ignore[attr-defined] 2025-12-04T12:57:20.7042261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1247, in inline_user_function_return 2025-12-04T12:57:20.7043035Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-12-04T12:57:20.7043749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4723, in inline_call 2025-12-04T12:57:20.7044331Z return tracer.inline_call_() 2025-12-04T12:57:20.7044904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4940, in inline_call_ 2025-12-04T12:57:20.7045460Z self.run() 2025-12-04T12:57:20.7045944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1639, in run 2025-12-04T12:57:20.7046488Z while self.step(): 2025-12-04T12:57:20.7047136Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1319, in step 2025-12-04T12:57:20.7047705Z self.dispatch_table[inst.opcode](self, inst) 2025-12-04T12:57:20.7048291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 858, in wrapper 2025-12-04T12:57:20.7048847Z return inner_fn(self, inst) 2025-12-04T12:57:20.7049403Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2496, in CALL_FUNCTION 2025-12-04T12:57:20.7049994Z self.call_function(fn, args, {}) 2025-12-04T12:57:20.7050572Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1225, in call_function 2025-12-04T12:57:20.7051261Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-12-04T12:57:20.7051963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 394, in call_function 2025-12-04T12:57:20.7052765Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) # type: ignore[attr-defined] 2025-12-04T12:57:20.7053734Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1247, in inline_user_function_return 2025-12-04T12:57:20.7054914Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-12-04T12:57:20.7055821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4723, in inline_call 2025-12-04T12:57:20.7056506Z return tracer.inline_call_() 2025-12-04T12:57:20.7057277Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4940, in inline_call_ 2025-12-04T12:57:20.7057887Z self.run() 2025-12-04T12:57:20.7058467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1639, in run 2025-12-04T12:57:20.7059142Z while self.step(): 2025-12-04T12:57:20.7059688Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1319, in step 2025-12-04T12:57:20.7060375Z self.dispatch_table[inst.opcode](self, inst) 2025-12-04T12:57:20.7061101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2628, in LOAD_ATTR 2025-12-04T12:57:20.7061871Z self._load_attr(inst.argval) 2025-12-04T12:57:20.7062470Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2615, in _load_attr 2025-12-04T12:57:20.7063219Z result = BuiltinVariable(getattr).call_function( 2025-12-04T12:57:20.7063952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builtin.py", line 1436, in call_function 2025-12-04T12:57:20.7064726Z return handler(tx, args, kwargs) # type: ignore[return-value] 2025-12-04T12:57:20.7065484Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builtin.py", line 1017, in 2025-12-04T12:57:20.7066164Z tx, [v.realize() for v in args], kwargs 2025-12-04T12:57:20.7066809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builtin.py", line 1017, in 2025-12-04T12:57:20.7067574Z tx, [v.realize() for v in args], kwargs 2025-12-04T12:57:20.7068165Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/lazy.py", line 74, in realize 2025-12-04T12:57:20.7068776Z self._cache.realize() 2025-12-04T12:57:20.7069459Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/lazy.py", line 34, in realize 2025-12-04T12:57:20.7070165Z self.vt = builder.VariableBuilder(tx, self.source)(self.value) 2025-12-04T12:57:20.7070836Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 473, in __call__ 2025-12-04T12:57:20.7071560Z vt = self._wrap(value) 2025-12-04T12:57:20.7072279Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 700, in _wrap 2025-12-04T12:57:20.7072875Z return type_dispatch(self, value) 2025-12-04T12:57:20.7073627Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 2206, in wrap_tensor 2025-12-04T12:57:20.7074316Z example_value = wrap_to_fake_tensor_and_record( 2025-12-04T12:57:20.7075146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 3685, in wrap_to_fake_tensor_and_record 2025-12-04T12:57:20.7075857Z fake_e = wrap_fake_exception( 2025-12-04T12:57:20.7076484Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 2965, in wrap_fake_exception 2025-12-04T12:57:20.7077170Z return fn() 2025-12-04T12:57:20.7077758Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 3686, in 2025-12-04T12:57:20.7078378Z lambda: tx.fake_mode.from_tensor( 2025-12-04T12:57:20.7079085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 3064, in from_tensor 2025-12-04T12:57:20.7079795Z return self.fake_tensor_converter.from_real_tensor( 2025-12-04T12:57:20.7080512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 416, in from_real_tensor 2025-12-04T12:57:20.7081333Z out = self.meta_converter( 2025-12-04T12:57:20.7081952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/meta_utils.py", line 1931, in __call__ 2025-12-04T12:57:20.7082680Z t_desc = self.describer.describe_tensor(t, trace=trace) 2025-12-04T12:57:20.7083441Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/meta_utils.py", line 311, in describe_tensor 2025-12-04T12:57:20.7084205Z storage = self.describe_storage(t.untyped_storage(), trace=trace) 2025-12-04T12:57:20.7085567Z torch._dynamo.exc.InternalTorchDynamoError: RuntimeError: Error: accessing tensor output of CUDAGraphs that has been overwritten by a subsequent run. Stack trace: File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-12-04T12:57:20.7086922Z anchors = self.anchor_generator(images, features) 2025-12-04T12:57:20.7087679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward 2025-12-04T12:57:20.7088356Z self.set_cell_anchors(dtype, device) 2025-12-04T12:57:20.7089148Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-12-04T12:57:20.7090133Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T12:57:20.7091023Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-12-04T12:57:20.7092462Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]. To prevent overwriting, clone the tensor outside of torch.compile() or call torch.compiler.cudagraph_mark_step_begin() before each model invocation. 2025-12-04T12:57:20.7093428Z 2025-12-04T12:57:20.7093540Z from user code: 2025-12-04T12:57:20.7094122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-12-04T12:57:20.7094917Z anchors = self.anchor_generator(images, features) 2025-12-04T12:57:20.7095617Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward 2025-12-04T12:57:20.7096304Z self.set_cell_anchors(dtype, device) 2025-12-04T12:57:20.7097120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-12-04T12:57:20.7098121Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T12:57:20.7098969Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-12-04T12:57:20.7099997Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T12:57:20.7100447Z 2025-12-04T12:57:20.7101001Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T12:57:20.7101737Z 2025-12-04T12:57:20.7102098Z TorchDynamo optimized model failed to run because of following error 2025-12-04T12:57:20.7253790Z Compilation time (from dynamo_timed): 97.494053722 2025-12-04T12:57:20.7279292Z fail_to_run 2025-12-04T12:57:20.7302536Z TIMING: gc:0.02698 entire_frame_compile:97.49405 _recursive_pre_grad_passes:0.0305 _recursive_joint_graph_passes:0.5711 _recursive_post_grad_passes:0.34023 async_compile.wait:2.22577 code_gen:8.50463 inductor_compile:17.74599 backend_compile:27.85957 cudagraphify.get_container:0.01646 CachingAutotuner.benchmark_all_configs:1.59399 pad_mm_benchmark:0.00206 CUDAGraphNode.record:0.00585 total_wall_time:97.49405 2025-12-04T12:57:20.7304852Z STATS: call_* op count: 3077 | FakeTensor.__torch_dispatch__:25692 | FakeTensorMode.__torch_dispatch__:51543 | attempt fast:742 | fast is_contiguous:566 | slow both tensors nontrivially broadcast:176 | ProxyTorchDispatchMode.__torch_dispatch__:9833 2025-12-04T12:57:20.7306237Z Dynamo produced 19 graphs covering 1125 ops with 18 graph breaks (3 unique) 2025-12-04T12:57:26.9538007Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:57:26.9539324Z import pynvml # type: ignore[import] 2025-12-04T12:57:29.5987578Z 2025-12-04T12:57:32.5691601Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:57:32.5691984Z loading model: 0it [00:02, ?it/s] 2025-12-04T12:57:32.5791254Z cuda eval yolov3 2025-12-04T12:57:53.2856382Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T12:57:53.2857756Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T12:57:53.2858493Z return mod(*inputs) 2025-12-04T12:57:53.2859027Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-12-04T12:57:53.2859544Z return self.forward_once(x) 2025-12-04T12:57:53.2860334Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once 2025-12-04T12:57:53.2860957Z yolo_out.append(module(x, out)) 2025-12-04T12:57:53.2861553Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward 2025-12-04T12:57:53.2862208Z self.grid = self.create_grids((nx, ny), p.device) 2025-12-04T12:57:53.2862826Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids 2025-12-04T12:57:53.2863466Z self.ng = torch.tensor(ng, dtype=torch.float) 2025-12-04T12:57:53.2863743Z 2025-12-04T12:57:53.2863982Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T12:57:53.2864644Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T12:57:53.2865270Z return mod(*inputs) 2025-12-04T12:57:53.2865799Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-12-04T12:57:53.2866347Z return self.forward_once(x) 2025-12-04T12:57:53.2866904Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once 2025-12-04T12:57:53.2867512Z yolo_out.append(module(x, out)) 2025-12-04T12:57:53.2868377Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward 2025-12-04T12:57:53.2868984Z self.grid = self.create_grids((nx, ny), p.device) 2025-12-04T12:57:53.2869624Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids 2025-12-04T12:57:53.2870278Z self.ng = torch.tensor(ng, dtype=torch.float) 2025-12-04T12:57:53.2870517Z 2025-12-04T12:57:53.2870819Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T12:57:53.2871471Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass 2025-12-04T12:57:53.2872051Z return mod(*inputs) 2025-12-04T12:57:53.2872622Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-12-04T12:57:53.2873173Z return self.forward_once(x) 2025-12-04T12:57:53.2873678Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once 2025-12-04T12:57:53.2874331Z yolo_out.append(module(x, out)) 2025-12-04T12:57:53.2874870Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward 2025-12-04T12:57:53.2875421Z self.grid = self.create_grids((nx, ny), p.device) 2025-12-04T12:57:53.2876095Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids 2025-12-04T12:57:53.2876694Z self.ng = torch.tensor(ng, dtype=torch.float) 2025-12-04T12:57:53.2876946Z 2025-12-04T12:57:53.5830423Z cudagraph partition into 2 partitions 2025-12-04T12:58:13.8689479Z Compilation time (from dynamo_timed): 33.942474928 2025-12-04T12:58:13.8690068Z pass 2025-12-04T12:58:13.8817020Z TIMING: _recursive_pre_grad_passes:0.01954 _recursive_joint_graph_passes:0.52916 _recursive_post_grad_passes:0.33135 async_compile.wait:4.01922 code_gen:11.32146 inductor_compile:15.31399 backend_compile:22.8564 gc:0.00072 entire_frame_compile:33.94247 cudagraphify.get_container:0.0023 CachingAutotuner.benchmark_all_configs:0.71696 total_wall_time:33.94247 2025-12-04T12:58:13.8818978Z STATS: call_* op count: 670 | FakeTensorMode.__torch_dispatch__:12265 | FakeTensor.__torch_dispatch__:11131 | ProxyTorchDispatchMode.__torch_dispatch__:4101 2025-12-04T12:58:13.8819870Z Dynamo produced 2 graphs covering 670 ops with 0 graph breaks (0 unique) 2025-12-04T12:58:16.8188266Z accuracy pass_rate=81.08% 2025-12-04T12:58:16.8192972Z calls_captured gmean=0.00x mean=316.216x 2025-12-04T12:58:16.8195949Z unique_graphs gmean=0.00x mean=1.703x 2025-12-04T12:58:16.8197903Z graph_breaks gmean=0.00x mean=1.054x 2025-12-04T12:58:16.8201314Z unique_graph_breaks gmean=0.00x mean=0.297x 2025-12-04T12:58:16.8204607Z autograd_captures gmean=0.00x mean=0.000x 2025-12-04T12:58:16.8208052Z autograd_compiles gmean=0.00x mean=0.000x 2025-12-04T12:58:16.8211640Z cudagraph_skips gmean=nanx mean=-0.135x 2025-12-04T12:58:16.8212199Z compilation_latency mean=14.330 seconds 2025-12-04T12:58:17.5356280Z + python benchmarks/dynamo/check_accuracy.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/dynamic_inductor_torchbench_inference.csv 2025-12-04T12:58:17.8782264Z llama_v2_7b_16h XFAIL 2025-12-04T12:58:17.8785468Z llava XFAIL 2025-12-04T12:58:17.8788771Z maml XFAIL 2025-12-04T12:58:17.8793222Z maml_omniglot PASS 2025-12-04T12:58:17.8797783Z microbench_unbacked_tolist_sum PASS 2025-12-04T12:58:17.8802671Z mnasnet1_0 PASS 2025-12-04T12:58:17.8807542Z mobilenet_v2 PASS 2025-12-04T12:58:17.8812301Z mobilenet_v2_quantized_qat XFAIL 2025-12-04T12:58:17.8817293Z mobilenet_v3_large PASS 2025-12-04T12:58:17.8822212Z moco PASS 2025-12-04T12:58:17.8826937Z moondream XFAIL 2025-12-04T12:58:17.8831927Z nanogpt PASS 2025-12-04T12:58:17.8836388Z nvidia_deeprecommender PASS 2025-12-04T12:58:17.8850500Z opacus_cifar10 PASS 2025-12-04T12:58:17.8850875Z phlippe_densenet PASS 2025-12-04T12:58:17.8851179Z phlippe_resnet PASS 2025-12-04T12:58:17.8854896Z pyhpc_equation_of_state PASS 2025-12-04T12:58:17.8859259Z pyhpc_isoneutral_mixing PASS 2025-12-04T12:58:17.8863987Z pyhpc_turbulent_kinetic_energy PASS 2025-12-04T12:58:17.8868633Z pytorch_CycleGAN_and_pix2pix PASS 2025-12-04T12:58:17.8873002Z pytorch_stargan PASS 2025-12-04T12:58:17.8877671Z pytorch_unet PASS 2025-12-04T12:58:17.8882201Z resnet152 PASS 2025-12-04T12:58:17.8886777Z resnet18 PASS 2025-12-04T12:58:17.8891320Z resnet50 PASS 2025-12-04T12:58:17.8895805Z resnet50_quantized_qat XFAIL 2025-12-04T12:58:17.8900271Z resnext50_32x4d PASS 2025-12-04T12:58:17.8905194Z sam PASS 2025-12-04T12:58:17.8909680Z shufflenet_v2_x1_0 PASS 2025-12-04T12:58:17.8914242Z soft_actor_critic PASS 2025-12-04T12:58:17.8918791Z speech_transformer PASS 2025-12-04T12:58:17.8923339Z squeezenet1_1 PASS 2025-12-04T12:58:17.8928198Z torch_multimodal_clip PASS 2025-12-04T12:58:17.8932819Z tts_angular PASS 2025-12-04T12:58:17.8937342Z vgg16 PASS 2025-12-04T12:58:17.8941961Z vision_maskrcnn FAIL_BUT_FLAKY: accuracy=fail_to_run, expected=pass 2025-12-04T12:58:17.8946688Z yolov3 PASS 2025-12-04T12:58:17.9474828Z + python benchmarks/dynamo/check_graph_breaks.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/dynamic_inductor_torchbench_inference.csv 2025-12-04T12:58:18.2872240Z llama_v2_7b_16h PASS 2025-12-04T12:58:18.2876724Z llava PASS 2025-12-04T12:58:18.2881466Z maml PASS 2025-12-04T12:58:18.2886337Z maml_omniglot PASS 2025-12-04T12:58:18.2890929Z microbench_unbacked_tolist_sum PASS 2025-12-04T12:58:18.2895473Z mnasnet1_0 PASS 2025-12-04T12:58:18.2900288Z mobilenet_v2 PASS 2025-12-04T12:58:18.2905240Z mobilenet_v2_quantized_qat PASS 2025-12-04T12:58:18.2909802Z mobilenet_v3_large PASS 2025-12-04T12:58:18.2914412Z moco PASS 2025-12-04T12:58:18.2919598Z moondream PASS 2025-12-04T12:58:18.2924161Z nanogpt PASS 2025-12-04T12:58:18.2929492Z nvidia_deeprecommender PASS 2025-12-04T12:58:18.2934072Z opacus_cifar10 PASS 2025-12-04T12:58:18.2938747Z phlippe_densenet PASS 2025-12-04T12:58:18.2943575Z phlippe_resnet PASS 2025-12-04T12:58:18.2948295Z pyhpc_equation_of_state PASS 2025-12-04T12:58:18.2952839Z pyhpc_isoneutral_mixing PASS 2025-12-04T12:58:18.2957347Z pyhpc_turbulent_kinetic_energy PASS 2025-12-04T12:58:18.2962074Z pytorch_CycleGAN_and_pix2pix PASS 2025-12-04T12:58:18.2966636Z pytorch_stargan PASS 2025-12-04T12:58:18.2971299Z pytorch_unet PASS 2025-12-04T12:58:18.2975750Z resnet152 PASS 2025-12-04T12:58:18.2980293Z resnet18 PASS 2025-12-04T12:58:18.2985437Z resnet50 PASS 2025-12-04T12:58:18.2990048Z resnet50_quantized_qat PASS 2025-12-04T12:58:18.2994538Z resnext50_32x4d PASS 2025-12-04T12:58:18.2999119Z sam PASS 2025-12-04T12:58:18.3003779Z shufflenet_v2_x1_0 PASS 2025-12-04T12:58:18.3008369Z soft_actor_critic PASS 2025-12-04T12:58:18.3013193Z speech_transformer PASS 2025-12-04T12:58:18.3017743Z squeezenet1_1 PASS 2025-12-04T12:58:18.3022334Z torch_multimodal_clip PASS 2025-12-04T12:58:18.3027369Z tts_angular PASS 2025-12-04T12:58:18.3031986Z vgg16 PASS 2025-12-04T12:58:18.3036560Z vision_maskrcnn PASS 2025-12-04T12:58:18.3041202Z yolov3 PASS_BUT_FLAKY 2025-12-04T12:58:18.3568992Z + test_single_dynamo_benchmark training torchbench 1 --training --amp --exclude-exact torchrec_dlrm 2025-12-04T12:58:18.3572667Z ++ pwd 2025-12-04T12:58:18.3575878Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-12-04T12:58:18.3614029Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-12-04T12:58:18.3614468Z + local name=training 2025-12-04T12:58:18.3614714Z + shift 2025-12-04T12:58:18.3614917Z + local suite=torchbench 2025-12-04T12:58:18.3615148Z + shift 2025-12-04T12:58:18.3615365Z + local shard_id=1 2025-12-04T12:58:18.3615583Z + shift 2025-12-04T12:58:18.3615781Z + partition_flags=() 2025-12-04T12:58:18.3616038Z + local partition_flags 2025-12-04T12:58:18.3616326Z + [[ -n 2 ]] 2025-12-04T12:58:18.3616549Z + [[ -n 1 ]] 2025-12-04T12:58:18.3616952Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-12-04T12:58:18.3617459Z + [[ dynamic_inductor_torchbench == *perf_compare* ]] 2025-12-04T12:58:18.3618881Z + [[ dynamic_inductor_torchbench == *perf* ]] 2025-12-04T12:58:18.3619211Z + [[ dynamic_inductor_torchbench == *_avx2* ]] 2025-12-04T12:58:18.3619550Z + [[ dynamic_inductor_torchbench == *_avx512* ]] 2025-12-04T12:58:18.3620921Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --inductor --dynamic-shapes --dynamic-batch-only --device cuda --training --amp --exclude-exact torchrec_dlrm --total-partitions 2 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/training_torchbench.csv 2025-12-04T12:58:18.8679187Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:58:18.8680706Z import pynvml # type: ignore[import] 2025-12-04T12:58:22.0377770Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:58:22.0379457Z import pynvml # type: ignore[import] 2025-12-04T12:58:24.6752215Z 2025-12-04T12:58:25.3438707Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:58:25.3439049Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:58:25.3439345Z cuda train llava 2025-12-04T12:58:25.3446653Z Traceback (most recent call last): 2025-12-04T12:58:25.3447148Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4280, in run 2025-12-04T12:58:25.3447623Z ) = runner.load_model( 2025-12-04T12:58:25.3448098Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 305, in load_model 2025-12-04T12:58:25.3448606Z benchmark = benchmark_cls( 2025-12-04T12:58:25.3449004Z File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__ 2025-12-04T12:58:25.3449453Z obj = type.__call__(cls, *args, **kwargs) 2025-12-04T12:58:25.3449910Z File "/torchbench/torchbenchmark/models/llava/__init__.py", line 12, in __init__ 2025-12-04T12:58:25.3450358Z super().__init__( 2025-12-04T12:58:25.3450850Z File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__ 2025-12-04T12:58:25.3451386Z super().__init__( 2025-12-04T12:58:25.3451744Z File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__ 2025-12-04T12:58:25.3452404Z self._skip_by_device_name() 2025-12-04T12:58:25.3452853Z File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name 2025-12-04T12:58:25.3453324Z raise NotImplementedError( 2025-12-04T12:58:25.3453800Z NotImplementedError: The current device NVIDIA A10G is skipped by its `llava/metadata.yaml`. 2025-12-04T12:58:25.3454194Z 2025-12-04T12:58:25.3454294Z model_fail_to_load 2025-12-04T12:58:26.8096883Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:58:26.8098539Z import pynvml # type: ignore[import] 2025-12-04T12:58:29.4736740Z 2025-12-04T12:58:30.3437021Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:58:30.3437357Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:58:30.3437685Z cuda train maml_omniglot 2025-12-04T12:58:41.2385576Z W1204 12:58:41.237000 22001 site-packages/torch/_logging/_internal.py:1204] [6/0] Profiler function will be ignored 2025-12-04T12:58:45.5154318Z Compilation time (from dynamo_timed): 13.996260947 2025-12-04T12:58:45.5154773Z pass 2025-12-04T12:58:45.5156584Z TIMING: gc:0.00434 entire_frame_compile:9.15574 _recursive_pre_grad_passes:0.00904 pad_mm_benchmark:0.00169 _recursive_joint_graph_passes:0.2075 _recursive_post_grad_passes:0.05349 async_compile.precompile:0.78508 async_compile.wait:3.06373 code_gen:9.00944 inductor_compile:10.22987 backend_compile:7.65997 cudagraphify.get_container:0.00303 CachingAutotuner.benchmark_all_configs:0.29043 entire_backward_compile:4.84052 CUDAGraphNode.record:0.00668 total_wall_time:13.99626 2025-12-04T12:58:45.5159116Z STATS: call_* op count: 107 | FakeTensor.__torch_dispatch__:2474 | FakeTensorMode.__torch_dispatch__:2812 | ProxyTorchDispatchMode.__torch_dispatch__:857 2025-12-04T12:58:45.5159897Z Dynamo produced 3 graphs covering 107 ops with 7 graph breaks (5 unique) 2025-12-04T12:58:48.2149306Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:58:48.2151076Z import pynvml # type: ignore[import] 2025-12-04T12:58:50.8742003Z 2025-12-04T12:58:51.3316089Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:58:51.3316431Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:58:51.3316746Z cuda train microbench_unbacked_tolist_sum 2025-12-04T12:58:53.9019715Z W1204 12:58:53.901000 22486 site-packages/torch/_dynamo/variables/tensor.py:1073] [4/0] Graph break from `Tensor.item()`, consider setting: 2025-12-04T12:58:53.9020732Z W1204 12:58:53.901000 22486 site-packages/torch/_dynamo/variables/tensor.py:1073] [4/0] torch._dynamo.config.capture_scalar_outputs = True 2025-12-04T12:58:53.9021588Z W1204 12:58:53.901000 22486 site-packages/torch/_dynamo/variables/tensor.py:1073] [4/0] or: 2025-12-04T12:58:53.9022332Z W1204 12:58:53.901000 22486 site-packages/torch/_dynamo/variables/tensor.py:1073] [4/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-12-04T12:58:53.9023223Z W1204 12:58:53.901000 22486 site-packages/torch/_dynamo/variables/tensor.py:1073] [4/0] to include these operations in the captured graph. 2025-12-04T12:58:53.9023975Z W1204 12:58:53.901000 22486 site-packages/torch/_dynamo/variables/tensor.py:1073] [4/0] 2025-12-04T12:58:53.9024654Z W1204 12:58:53.901000 22486 site-packages/torch/_dynamo/variables/tensor.py:1073] [4/0] Graph break: from user code at: 2025-12-04T12:58:53.9026145Z W1204 12:58:53.901000 22486 site-packages/torch/_dynamo/variables/tensor.py:1073] [4/0] File "/torchbench/torchbenchmark/models/microbench_unbacked_tolist_sum/__init__.py", line 18, in torch_dynamo_resume_in_forward_at_13 2025-12-04T12:58:53.9027684Z W1204 12:58:53.901000 22486 site-packages/torch/_dynamo/variables/tensor.py:1073] [4/0] sum += tv[i].item() 2025-12-04T12:58:53.9028346Z W1204 12:58:53.901000 22486 site-packages/torch/_dynamo/variables/tensor.py:1073] [4/0] 2025-12-04T12:58:53.9028912Z W1204 12:58:53.901000 22486 site-packages/torch/_dynamo/variables/tensor.py:1073] [4/0] 2025-12-04T12:58:54.1063963Z W1204 12:58:54.105000 22486 site-packages/torch/_logging/_internal.py:1204] [10/0] Profiler function will be ignored 2025-12-04T12:58:54.8321656Z Compilation time (from dynamo_timed): 2.60811421 2025-12-04T12:58:54.8322016Z pass 2025-12-04T12:58:54.8323329Z TIMING: gc:0.00537 entire_frame_compile:2.60811 _recursive_pre_grad_passes:0.00729 _recursive_joint_graph_passes:0.30654 inductor_compile:0.30048 backend_compile:1.46709 _recursive_post_grad_passes:0.01798 async_compile.precompile:0.15228 async_compile.wait:0.00017 code_gen:0.2141 cudagraphify.get_container:0.00295 CUDAGraphNode.record:0.00105 total_wall_time:2.60811 2025-12-04T12:58:54.8325089Z STATS: call_* op count: 30 | FakeTensor.__torch_dispatch__:2133 | FakeTensorMode.__torch_dispatch__:512 | ProxyTorchDispatchMode.__torch_dispatch__:62 2025-12-04T12:58:54.8326184Z Dynamo produced 4 graphs covering 30 ops with 9 graph breaks (6 unique) 2025-12-04T12:58:59.4992898Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T12:58:59.4995018Z import pynvml # type: ignore[import] 2025-12-04T12:59:02.1471329Z 2025-12-04T12:59:28.8469921Z loading model: 0it [00:00, ?it/s] 2025-12-04T12:59:28.8470389Z loading model: 0it [00:26, ?it/s] 2025-12-04T12:59:28.8470838Z cuda train mnasnet1_0 2025-12-04T13:00:25.0112437Z W1204 13:00:25.010000 22592 site-packages/torch/_logging/_internal.py:1204] [6/0] Profiler function will be ignored 2025-12-04T13:00:58.7404431Z Compilation time (from dynamo_timed): 62.17161171 2025-12-04T13:00:58.7427019Z pass 2025-12-04T13:00:58.7458742Z TIMING: gc:0.00613 entire_frame_compile:51.01027 _recursive_pre_grad_passes:0.02892 pad_mm_benchmark:0.00166 _recursive_joint_graph_passes:0.44064 _recursive_post_grad_passes:0.44757 async_compile.wait:2.82723 code_gen:19.56242 inductor_compile:33.01835 backend_compile:36.66628 cudagraphify.get_container:0.00316 CachingAutotuner.benchmark_all_configs:2.21894 entire_backward_compile:11.16134 CUDAGraphNode.record:0.11451 total_wall_time:62.17161 2025-12-04T13:00:58.7461006Z STATS: call_* op count: 965 | FakeTensorMode.__torch_dispatch__:24670 | FakeTensor.__torch_dispatch__:29912 | ProxyTorchDispatchMode.__torch_dispatch__:10098 2025-12-04T13:00:58.7461887Z Dynamo produced 3 graphs covering 965 ops with 7 graph breaks (5 unique) 2025-12-04T13:01:03.2842594Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:01:03.2844251Z import pynvml # type: ignore[import] 2025-12-04T13:01:05.9313720Z 2025-12-04T13:01:20.8304647Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:01:20.8305023Z loading model: 0it [00:14, ?it/s] 2025-12-04T13:01:20.8305376Z cuda train mobilenet_v2 2025-12-04T13:02:11.9751456Z Compilation time (from dynamo_timed): 31.436984617 2025-12-04T13:02:11.9770384Z pass 2025-12-04T13:02:11.9830232Z TIMING: gc:0.00367 entire_frame_compile:18.67592 _recursive_pre_grad_passes:0.00974 pad_mm_benchmark:0.00167 _recursive_joint_graph_passes:0.33134 _recursive_post_grad_passes:0.71891 async_compile.wait:0.19963 code_gen:9.94196 inductor_compile:17.50464 backend_compile:12.38603 cudagraphify.get_container:0.00303 CachingAutotuner.benchmark_all_configs:1.67218 entire_backward_compile:12.76107 CUDAGraphNode.record:0.05719 total_wall_time:31.43698 2025-12-04T13:02:11.9834239Z STATS: call_* op count: 157 | FakeTensorMode.__torch_dispatch__:17680 | FakeTensor.__torch_dispatch__:17131 | ProxyTorchDispatchMode.__torch_dispatch__:6881 2025-12-04T13:02:11.9835244Z Dynamo produced 2 graphs covering 157 ops with 6 graph breaks (5 unique) 2025-12-04T13:02:15.7359923Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:02:15.7361592Z import pynvml # type: ignore[import] 2025-12-04T13:02:18.3693982Z 2025-12-04T13:02:21.5767087Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:02:21.5767567Z loading model: 0it [00:03, ?it/s] 2025-12-04T13:02:21.5767994Z cuda train mobilenet_v2_quantized_qat 2025-12-04T13:02:21.5768405Z Traceback (most recent call last): 2025-12-04T13:02:21.5768902Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2005, in validate_model 2025-12-04T13:02:21.5769428Z self.model_iter_fn(model, example_inputs) 2025-12-04T13:02:21.5770173Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 469, in forward_and_backward_pass 2025-12-04T13:02:21.5771726Z pred = mod(*cloned_inputs) 2025-12-04T13:02:21.5772262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 936, in call_wrapped 2025-12-04T13:02:21.5772854Z return self._wrapped_call(self, *args, **kwargs) 2025-12-04T13:02:21.5773419Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 455, in __call__ 2025-12-04T13:02:21.5773926Z raise e 2025-12-04T13:02:21.5774383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 442, in __call__ 2025-12-04T13:02:21.5775022Z return super(self.cls, obj).__call__(*args, **kwargs) # type: ignore[misc] 2025-12-04T13:02:21.5775715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T13:02:21.5776315Z return self._call_impl(*args, **kwargs) 2025-12-04T13:02:21.5776875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T13:02:21.5777435Z return forward_call(*args, **kwargs) 2025-12-04T13:02:21.5777751Z File ".3", line 207, in forward 2025-12-04T13:02:21.5778262Z activation_post_process_101 = self.activation_post_process_101(classifier_1); classifier_1 = None 2025-12-04T13:02:21.5779048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T13:02:21.5779643Z return self._call_impl(*args, **kwargs) 2025-12-04T13:02:21.5780200Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T13:02:21.5780754Z return forward_call(*args, **kwargs) 2025-12-04T13:02:21.5781338Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fake_quantize.py", line 424, in forward 2025-12-04T13:02:21.5782116Z return torch.fused_moving_avg_obs_fake_quant( 2025-12-04T13:02:21.5782508Z RuntimeError: expected scalar type Half but found Float 2025-12-04T13:02:21.5782758Z 2025-12-04T13:02:21.5782965Z The above exception was the direct cause of the following exception: 2025-12-04T13:02:21.5783256Z 2025-12-04T13:02:21.5783367Z Traceback (most recent call last): 2025-12-04T13:02:21.5783794Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4280, in run 2025-12-04T13:02:21.5784240Z ) = runner.load_model( 2025-12-04T13:02:21.5784691Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 379, in load_model 2025-12-04T13:02:21.5785360Z self.validate_model(model, example_inputs) 2025-12-04T13:02:21.5785872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2007, in validate_model 2025-12-04T13:02:21.5786397Z raise RuntimeError("Eager run failed") from e 2025-12-04T13:02:21.5786717Z RuntimeError: Eager run failed 2025-12-04T13:02:21.5786887Z 2025-12-04T13:02:21.5786970Z eager_fail_to_run 2025-12-04T13:02:23.2142613Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:02:23.2144276Z import pynvml # type: ignore[import] 2025-12-04T13:02:25.8774946Z 2025-12-04T13:02:46.5168413Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:02:46.5168834Z loading model: 0it [00:20, ?it/s] 2025-12-04T13:02:46.5169168Z cuda train mobilenet_v3_large 2025-12-04T13:03:50.4437693Z W1204 13:03:50.442000 26702 site-packages/torch/_logging/_internal.py:1204] [6/0] Profiler function will be ignored 2025-12-04T13:04:28.8033433Z E1204 13:04:28.802000 26702 site-packages/torch/_dynamo/utils.py:3225] RMSE (res-fp64): 3.69532, (ref-fp64): 1.71392 and shape=torch.Size([184, 1, 3, 3]). res.dtype: torch.float32, multiplier: 2.000000, tol: 0.001000, use_larger_multiplier_for_smaller_tensor: 0 2025-12-04T13:04:28.8035685Z E1204 13:04:28.802000 26702 site-packages/torch/_dynamo/utils.py:3086] Accuracy failed for key name features.9.block.1.0.weight.grad 2025-12-04T13:04:28.8297915Z Compilation time (from dynamo_timed): 76.09568208499999 2025-12-04T13:04:28.8320020Z pass 2025-12-04T13:04:28.8359361Z TIMING: gc:0.0065 entire_frame_compile:60.10814 _recursive_pre_grad_passes:0.03223 pad_mm_benchmark:0.00363 _recursive_joint_graph_passes:0.75307 _recursive_post_grad_passes:0.62056 async_compile.wait:3.73761 code_gen:25.83105 inductor_compile:42.36735 backend_compile:43.64268 cudagraphify.get_container:0.00387 CachingAutotuner.benchmark_all_configs:3.30986 entire_backward_compile:15.98755 CUDAGraphNode.record:0.14312 total_wall_time:76.09568 2025-12-04T13:04:28.8361378Z STATS: call_* op count: 1080 | FakeTensorMode.__torch_dispatch__:28605 | FakeTensor.__torch_dispatch__:36208 | ProxyTorchDispatchMode.__torch_dispatch__:11284 2025-12-04T13:04:28.8362170Z Dynamo produced 3 graphs covering 1080 ops with 7 graph breaks (5 unique) 2025-12-04T13:04:33.7212188Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:04:33.7213842Z import pynvml # type: ignore[import] 2025-12-04T13:04:36.3768257Z 2025-12-04T13:04:44.1517380Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:04:44.1517752Z loading model: 0it [00:07, ?it/s] 2025-12-04T13:04:44.1518037Z cuda train moco 2025-12-04T13:04:49.2450615Z [rank0]:W1204 13:04:49.243000 30159 site-packages/torch/_logging/_internal.py:1204] [2/0] Profiler function will be ignored 2025-12-04T13:05:00.1927729Z [rank0]:W1204 13:05:00.191000 30159 site-packages/torch/_dynamo/backends/distributed.py:110] [6/0_1] Some buckets were extended beyond their requested parameter capacities in order to ensure each subgraph has an output node, required for fx graph partitioning. This can be the case when a subgraph would have only contained nodes performing inplace mutation, and returning no logical outputs. This should not be a problem, unless it results in too few graph partitions for optimal DDP performance. 2025-12-04T13:05:00.2175261Z [rank0]:W1204 13:05:00.216000 30159 site-packages/torch/_dynamo/backends/distributed.py:127] [6/0_1] DDPOptimizer extended these buckets to ensure per-subgraph output nodes: 2025-12-04T13:05:00.2176766Z [rank0]:W1204 13:05:00.216000 30159 site-packages/torch/_dynamo/backends/distributed.py:127] [6/0_1] ┌─────────┬─────────────┬────────────────────────┐ 2025-12-04T13:05:00.2177861Z [rank0]:W1204 13:05:00.216000 30159 site-packages/torch/_dynamo/backends/distributed.py:127] [6/0_1] │ Index │ Extra Ops │ Extra Param Size (b) │ 2025-12-04T13:05:00.2178959Z [rank0]:W1204 13:05:00.216000 30159 site-packages/torch/_dynamo/backends/distributed.py:127] [6/0_1] ├─────────┼─────────────┼────────────────────────┤ 2025-12-04T13:05:00.2180024Z [rank0]:W1204 13:05:00.216000 30159 site-packages/torch/_dynamo/backends/distributed.py:127] [6/0_1] │ 0 │ 480 │ 94032128 │ 2025-12-04T13:05:00.2181089Z [rank0]:W1204 13:05:00.216000 30159 site-packages/torch/_dynamo/backends/distributed.py:127] [6/0_1] └─────────┴─────────────┴────────────────────────┘ 2025-12-04T13:05:31.9531853Z [rank0]:W1204 13:05:31.951000 30159 site-packages/torch/_dynamo/variables/tensor.py:1073] [9/0] Graph break from `Tensor.item()`, consider setting: 2025-12-04T13:05:31.9532896Z [rank0]:W1204 13:05:31.951000 30159 site-packages/torch/_dynamo/variables/tensor.py:1073] [9/0] torch._dynamo.config.capture_scalar_outputs = True 2025-12-04T13:05:31.9533715Z [rank0]:W1204 13:05:31.951000 30159 site-packages/torch/_dynamo/variables/tensor.py:1073] [9/0] or: 2025-12-04T13:05:31.9534494Z [rank0]:W1204 13:05:31.951000 30159 site-packages/torch/_dynamo/variables/tensor.py:1073] [9/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-12-04T13:05:31.9535777Z [rank0]:W1204 13:05:31.951000 30159 site-packages/torch/_dynamo/variables/tensor.py:1073] [9/0] to include these operations in the captured graph. 2025-12-04T13:05:31.9536552Z [rank0]:W1204 13:05:31.951000 30159 site-packages/torch/_dynamo/variables/tensor.py:1073] [9/0] 2025-12-04T13:05:31.9537278Z [rank0]:W1204 13:05:31.951000 30159 site-packages/torch/_dynamo/variables/tensor.py:1073] [9/0] Graph break: from user code at: 2025-12-04T13:05:31.9538430Z [rank0]:W1204 13:05:31.951000 30159 site-packages/torch/_dynamo/variables/tensor.py:1073] [9/0] File "/torchbench/torchbenchmark/models/moco/moco/builder.py", line 167, in torch_dynamo_resume_in_forward_at_142 2025-12-04T13:05:31.9539569Z [rank0]:W1204 13:05:31.951000 30159 site-packages/torch/_dynamo/variables/tensor.py:1073] [9/0] self._dequeue_and_enqueue(k) 2025-12-04T13:05:31.9540705Z [rank0]:W1204 13:05:31.951000 30159 site-packages/torch/_dynamo/variables/tensor.py:1073] [9/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context 2025-12-04T13:05:31.9541930Z [rank0]:W1204 13:05:31.951000 30159 site-packages/torch/_dynamo/variables/tensor.py:1073] [9/0] return func(*args, **kwargs) 2025-12-04T13:05:31.9543001Z [rank0]:W1204 13:05:31.951000 30159 site-packages/torch/_dynamo/variables/tensor.py:1073] [9/0] File "/torchbench/torchbenchmark/models/moco/moco/builder.py", line 68, in _dequeue_and_enqueue 2025-12-04T13:05:31.9544075Z [rank0]:W1204 13:05:31.951000 30159 site-packages/torch/_dynamo/variables/tensor.py:1073] [9/0] ptr = int(self.queue_ptr) 2025-12-04T13:05:31.9544794Z [rank0]:W1204 13:05:31.951000 30159 site-packages/torch/_dynamo/variables/tensor.py:1073] [9/0] 2025-12-04T13:05:31.9545400Z [rank0]:W1204 13:05:31.951000 30159 site-packages/torch/_dynamo/variables/tensor.py:1073] [9/0] 2025-12-04T13:06:08.4544482Z Compilation time (from dynamo_timed): 71.005768656 2025-12-04T13:06:08.4586120Z pass 2025-12-04T13:06:08.4945917Z TIMING: gc:0.01183 entire_frame_compile:53.70822 _recursive_pre_grad_passes:0.1121 _recursive_joint_graph_passes:0.48514 inductor_compile:37.34967 backend_compile:35.08776 _recursive_post_grad_passes:0.65093 async_compile.wait:8.21906 code_gen:26.8651 pad_mm_benchmark:0.00334 cudagraphify.get_container:0.01006 CachingAutotuner.benchmark_all_configs:3.66036 entire_backward_compile:17.29755 CUDAGraphNode.record:0.07978 total_wall_time:71.00577 2025-12-04T13:06:08.4949048Z STATS: call_* op count: 887 | FakeTensorMode.__torch_dispatch__:31426 | ProxyTorchDispatchMode.__torch_dispatch__:11692 | FakeTensor.__torch_dispatch__:26822 2025-12-04T13:06:08.4949869Z Dynamo produced 10 graphs covering 887 ops with 13 graph breaks (9 unique) 2025-12-04T13:06:10.6608477Z [rank0]:[W1204 13:06:10.677692922 ProcessGroupNCCL.cpp:1553] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) 2025-12-04T13:06:13.8243656Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:06:13.8245321Z import pynvml # type: ignore[import] 2025-12-04T13:06:16.4732560Z 2025-12-04T13:06:18.1952013Z loading model: 0it [00:00, ?it/s]number of parameters: 123.69M 2025-12-04T13:06:18.4262929Z num decayed parameter tensors: 50, with 124,354,560 parameters 2025-12-04T13:06:18.4264012Z num non-decayed parameter tensors: 98, with 121,344 parameters 2025-12-04T13:06:18.4264841Z using fused AdamW: True 2025-12-04T13:06:18.9884447Z 2025-12-04T13:06:18.9884980Z loading model: 0it [00:02, ?it/s] 2025-12-04T13:06:18.9885327Z cuda train nanogpt 2025-12-04T13:06:43.9896293Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 469, in torch_dynamo_resume_in_forward_and_backward_pass_at_464 2025-12-04T13:06:43.9897961Z pred = mod(*cloned_inputs) 2025-12-04T13:06:43.9898590Z File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 240, in forward 2025-12-04T13:06:43.9899238Z x[:, [-1], :] 2025-12-04T13:06:43.9899423Z 2025-12-04T13:06:43.9899429Z 2025-12-04T13:06:44.4304125Z W1204 13:06:44.429000 33056 site-packages/torch/_logging/_internal.py:1204] [6/0] Profiler function will be ignored 2025-12-04T13:07:12.2429661Z Compilation time (from dynamo_timed): 50.432298994 2025-12-04T13:07:12.2446592Z pass 2025-12-04T13:07:12.3109144Z TIMING: gc:0.00593 entire_frame_compile:42.1469 _recursive_pre_grad_passes:0.02856 pad_mm_benchmark:0.07311 _recursive_joint_graph_passes:1.19939 _recursive_post_grad_passes:0.76957 async_compile.wait:2.61022 code_gen:16.42607 inductor_compile:28.07181 backend_compile:32.32845 cudagraphify.get_container:0.039 CachingAutotuner.benchmark_all_configs:0.45291 entire_backward_compile:8.2854 CUDAGraphNode.record:0.02418 total_wall_time:50.4323 2025-12-04T13:07:12.3111827Z STATS: call_* op count: 1156 | FakeTensorMode.__torch_dispatch__:27915 | FakeTensor.__torch_dispatch__:28285 | ProxyTorchDispatchMode.__torch_dispatch__:9542 2025-12-04T13:07:12.3112624Z Dynamo produced 3 graphs covering 1156 ops with 7 graph breaks (5 unique) 2025-12-04T13:07:16.3048697Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:07:16.3050384Z import pynvml # type: ignore[import] 2025-12-04T13:07:18.9604554Z 2025-12-04T13:07:21.2266140Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:07:21.2266483Z loading model: 0it [00:02, ?it/s] 2025-12-04T13:07:21.2266786Z cuda train nvidia_deeprecommender 2025-12-04T13:07:27.6194153Z W1204 13:07:27.618000 33675 site-packages/torch/_logging/_internal.py:1204] [6/0] Profiler function will be ignored 2025-12-04T13:07:31.3184477Z Compilation time (from dynamo_timed): 7.933937342 2025-12-04T13:07:31.3184829Z pass 2025-12-04T13:07:31.3457573Z TIMING: gc:0.00314 entire_frame_compile:7.26418 _recursive_pre_grad_passes:0.00856 pad_mm_benchmark:0.00883 _recursive_joint_graph_passes:0.23133 _recursive_post_grad_passes:0.0656 async_compile.precompile:1.27111 async_compile.wait:1.4049 code_gen:3.62058 inductor_compile:4.48711 backend_compile:5.8555 cudagraphify.get_container:0.01538 CachingAutotuner.benchmark_all_configs:0.57989 entire_backward_compile:0.66976 CUDAGraphNode.record:0.00692 total_wall_time:7.93394 2025-12-04T13:07:31.3459695Z STATS: call_* op count: 96 | FakeTensorMode.__torch_dispatch__:2618 | FakeTensor.__torch_dispatch__:2386 | ProxyTorchDispatchMode.__torch_dispatch__:852 2025-12-04T13:07:31.3460456Z Dynamo produced 3 graphs covering 96 ops with 7 graph breaks (5 unique) 2025-12-04T13:07:33.9548217Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:07:33.9549891Z import pynvml # type: ignore[import] 2025-12-04T13:07:36.6069240Z 2025-12-04T13:07:37.7682226Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:07:37.7682574Z loading model: 0it [00:01, ?it/s] 2025-12-04T13:07:37.7682890Z cuda train opacus_cifar10 2025-12-04T13:07:37.7698453Z Traceback (most recent call last): 2025-12-04T13:07:37.7698986Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2005, in validate_model 2025-12-04T13:07:37.7699945Z self.model_iter_fn(model, example_inputs) 2025-12-04T13:07:37.7700635Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 471, in forward_and_backward_pass 2025-12-04T13:07:37.7701333Z self.grad_scaler.scale(loss).backward() 2025-12-04T13:07:37.7701973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 629, in backward 2025-12-04T13:07:37.7702486Z torch.autograd.backward( 2025-12-04T13:07:37.7703010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 364, in backward 2025-12-04T13:07:37.7703532Z _engine_run_backward( 2025-12-04T13:07:37.7704064Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T13:07:37.7704832Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T13:07:37.7705576Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 90, in __call__ 2025-12-04T13:07:37.7706121Z return self.hook(module, *args, **kwargs) 2025-12-04T13:07:37.7706772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/opacus/grad_sample/grad_sample_module.py", line 327, in capture_backprops_hook 2025-12-04T13:07:37.7707470Z activations, backprops = self.rearrange_grad_samples( 2025-12-04T13:07:37.7708169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/opacus/grad_sample/grad_sample_module.py", line 383, in rearrange_grad_samples 2025-12-04T13:07:37.7708792Z raise ValueError( 2025-12-04T13:07:37.7709304Z ValueError: No activations detected for , run forward after add_hooks(model) 2025-12-04T13:07:37.7709762Z 2025-12-04T13:07:37.7709961Z The above exception was the direct cause of the following exception: 2025-12-04T13:07:37.7710261Z 2025-12-04T13:07:37.7710366Z Traceback (most recent call last): 2025-12-04T13:07:37.7710811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4280, in run 2025-12-04T13:07:37.7711257Z ) = runner.load_model( 2025-12-04T13:07:37.7711697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 379, in load_model 2025-12-04T13:07:37.7712218Z self.validate_model(model, example_inputs) 2025-12-04T13:07:37.7712727Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2007, in validate_model 2025-12-04T13:07:37.7713247Z raise RuntimeError("Eager run failed") from e 2025-12-04T13:07:37.7713724Z RuntimeError: Eager run failed 2025-12-04T13:07:37.7713900Z 2025-12-04T13:07:37.7713991Z eager_fail_to_run 2025-12-04T13:07:39.3282029Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:07:39.3283790Z import pynvml # type: ignore[import] 2025-12-04T13:07:41.9792750Z 2025-12-04T13:07:44.1777166Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:07:44.1777926Z loading model: 0it [00:02, ?it/s] 2025-12-04T13:07:44.1778540Z cuda train phlippe_densenet 2025-12-04T13:08:18.3665794Z Compilation time (from dynamo_timed): 31.319427716 2025-12-04T13:08:18.3685545Z pass 2025-12-04T13:08:18.3692055Z TIMING: gc:0.00483 entire_frame_compile:20.95765 _recursive_pre_grad_passes:0.00933 pad_mm_benchmark:0.00167 _recursive_joint_graph_passes:0.55139 _recursive_post_grad_passes:0.36545 async_compile.wait:0.55882 code_gen:11.63361 inductor_compile:16.91718 backend_compile:14.41306 cudagraphify.get_container:0.00222 CachingAutotuner.benchmark_all_configs:1.54996 entire_backward_compile:10.36177 CUDAGraphNode.record:0.05268 total_wall_time:31.31943 2025-12-04T13:08:18.3694066Z STATS: call_* op count: 190 | FakeTensorMode.__torch_dispatch__:17169 | FakeTensor.__torch_dispatch__:14446 | ProxyTorchDispatchMode.__torch_dispatch__:6805 2025-12-04T13:08:18.3695237Z Dynamo produced 2 graphs covering 190 ops with 6 graph breaks (5 unique) 2025-12-04T13:08:21.9185324Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:08:21.9187009Z import pynvml # type: ignore[import] 2025-12-04T13:08:24.5571528Z 2025-12-04T13:08:25.6230822Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:08:25.6231277Z loading model: 0it [00:01, ?it/s] 2025-12-04T13:08:25.6231698Z cuda train phlippe_resnet 2025-12-04T13:08:38.4800171Z Compilation time (from dynamo_timed): 11.210476915 2025-12-04T13:08:38.4805976Z pass 2025-12-04T13:08:38.4808620Z TIMING: gc:0.00372 entire_frame_compile:8.05141 _recursive_pre_grad_passes:0.00678 pad_mm_benchmark:0.00164 _recursive_joint_graph_passes:0.39763 _recursive_post_grad_passes:0.14661 async_compile.wait:0.91219 code_gen:3.78178 inductor_compile:5.72976 backend_compile:5.64624 cudagraphify.get_container:0.00239 CachingAutotuner.benchmark_all_configs:0.6604 entire_backward_compile:3.15907 CUDAGraphNode.record:0.01513 total_wall_time:11.21048 2025-12-04T13:08:38.4811886Z STATS: call_* op count: 75 | FakeTensorMode.__torch_dispatch__:6204 | FakeTensor.__torch_dispatch__:5356 | ProxyTorchDispatchMode.__torch_dispatch__:2561 2025-12-04T13:08:38.4813128Z Dynamo produced 2 graphs covering 75 ops with 6 graph breaks (5 unique) 2025-12-04T13:08:41.1714650Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:08:41.1715871Z import pynvml # type: ignore[import] 2025-12-04T13:08:43.8275651Z 2025-12-04T13:08:49.0507648Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:08:49.0508007Z loading model: 0it [00:05, ?it/s] 2025-12-04T13:08:49.0508405Z cuda train pytorch_CycleGAN_and_pix2pix 2025-12-04T13:09:16.1945380Z Compilation time (from dynamo_timed): 21.174181222999998 2025-12-04T13:09:16.1949813Z pass 2025-12-04T13:09:16.2046211Z TIMING: gc:0.00287 entire_frame_compile:11.28306 _recursive_pre_grad_passes:0.00564 _recursive_joint_graph_passes:0.43128 _recursive_post_grad_passes:0.28166 async_compile.wait:1.70155 code_gen:9.29843 inductor_compile:13.46229 backend_compile:9.07808 cudagraphify.get_container:0.00624 CachingAutotuner.benchmark_all_configs:0.82931 entire_backward_compile:9.89112 CUDAGraphNode.record:0.01651 total_wall_time:21.17418 2025-12-04T13:09:16.2049749Z STATS: call_* op count: 95 | FakeTensorMode.__torch_dispatch__:11320 | FakeTensor.__torch_dispatch__:10750 | ProxyTorchDispatchMode.__torch_dispatch__:5193 2025-12-04T13:09:16.2051163Z Dynamo produced 2 graphs covering 95 ops with 6 graph breaks (5 unique) 2025-12-04T13:09:19.3569200Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:09:19.3570930Z import pynvml # type: ignore[import] 2025-12-04T13:09:22.0147833Z 2025-12-04T13:09:25.3481360Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:09:25.3481727Z loading model: 0it [00:03, ?it/s] 2025-12-04T13:09:25.3482025Z cuda train pytorch_stargan 2025-12-04T13:09:55.2622235Z Compilation time (from dynamo_timed): 12.342734590000001 2025-12-04T13:09:55.2631049Z pass 2025-12-04T13:09:55.2705210Z TIMING: gc:0.0038 entire_frame_compile:9.15901 _recursive_pre_grad_passes:0.00578 _recursive_joint_graph_passes:0.61429 _recursive_post_grad_passes:0.14228 async_compile.wait:0.13424 code_gen:3.61117 inductor_compile:6.13168 backend_compile:6.83148 cudagraphify.get_container:0.00678 CachingAutotuner.benchmark_all_configs:0.49874 entire_backward_compile:3.18372 CUDAGraphNode.record:0.01586 total_wall_time:12.34273 2025-12-04T13:09:55.2707646Z STATS: call_* op count: 60 | FakeTensorMode.__torch_dispatch__:8532 | FakeTensor.__torch_dispatch__:5737 | ProxyTorchDispatchMode.__torch_dispatch__:3014 2025-12-04T13:09:55.2708422Z Dynamo produced 2 graphs covering 60 ops with 6 graph breaks (5 unique) 2025-12-04T13:09:58.0918095Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:09:58.0920032Z import pynvml # type: ignore[import] 2025-12-04T13:10:00.7427336Z 2025-12-04T13:10:02.0650489Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:10:02.0650866Z loading model: 0it [00:01, ?it/s] 2025-12-04T13:10:02.0651176Z cuda train pytorch_unet 2025-12-04T13:10:49.3557735Z W1204 13:10:49.354000 38264 site-packages/torch/_logging/_internal.py:1204] [6/0] Profiler function will be ignored 2025-12-04T13:11:05.2892476Z Compilation time (from dynamo_timed): 39.41496248 2025-12-04T13:11:05.2900791Z pass_due_to_skip 2025-12-04T13:11:05.2989568Z TIMING: gc:0.00486 entire_frame_compile:27.00363 _recursive_pre_grad_passes:0.01763 _recursive_joint_graph_passes:0.31409 _recursive_post_grad_passes:0.24715 async_compile.wait:4.26486 code_gen:19.07503 inductor_compile:25.60692 backend_compile:20.77516 cudagraphify.get_container:0.00749 CachingAutotuner.benchmark_all_configs:3.14959 entire_backward_compile:12.41134 CUDAGraphNode.record:0.03704 total_wall_time:39.41496 2025-12-04T13:11:05.2991522Z STATS: call_* op count: 464 | FakeTensorMode.__torch_dispatch__:13025 | FakeTensor.__torch_dispatch__:14972 | ProxyTorchDispatchMode.__torch_dispatch__:4956 2025-12-04T13:11:05.2992314Z Dynamo produced 3 graphs covering 464 ops with 7 graph breaks (5 unique) 2025-12-04T13:11:08.9002890Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:11:08.9004644Z import pynvml # type: ignore[import] 2025-12-04T13:11:11.5591269Z 2025-12-04T13:11:19.1717876Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:11:19.1718344Z loading model: 0it [00:07, ?it/s] 2025-12-04T13:11:19.1718737Z cuda train resnet152 2025-12-04T13:12:43.6983104Z W1204 13:12:43.697000 40172 site-packages/torch/_logging/_internal.py:1204] [6/0] Profiler function will be ignored 2025-12-04T13:14:34.5864129Z Compilation time (from dynamo_timed): 180.653147964 2025-12-04T13:14:34.5923842Z pass 2025-12-04T13:14:34.6316123Z TIMING: gc:0.00685 entire_frame_compile:153.362 _recursive_pre_grad_passes:0.07719 pad_mm_benchmark:0.0017 _recursive_joint_graph_passes:1.00422 _recursive_post_grad_passes:1.34823 async_compile.wait:6.18575 code_gen:53.17971 inductor_compile:99.07087 backend_compile:114.54687 cudagraphify.get_container:0.02457 CachingAutotuner.benchmark_all_configs:1.11898 entire_backward_compile:27.29114 CUDAGraphNode.record:0.82337 total_wall_time:180.65315 2025-12-04T13:14:34.6319103Z STATS: call_* op count: 2873 | FakeTensorMode.__torch_dispatch__:68623 | FakeTensor.__torch_dispatch__:89009 | ProxyTorchDispatchMode.__torch_dispatch__:30766 2025-12-04T13:14:34.6320739Z Dynamo produced 3 graphs covering 2873 ops with 7 graph breaks (5 unique) 2025-12-04T13:14:42.6843597Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:14:42.6845344Z import pynvml # type: ignore[import] 2025-12-04T13:14:45.3376221Z 2025-12-04T13:14:51.4373074Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:14:51.4373435Z loading model: 0it [00:06, ?it/s] 2025-12-04T13:14:51.4373742Z cuda train resnet18 2025-12-04T13:15:13.0868331Z Compilation time (from dynamo_timed): 16.18957077 2025-12-04T13:15:13.0874853Z pass 2025-12-04T13:15:13.0950692Z TIMING: gc:0.00415 entire_frame_compile:8.47352 _recursive_pre_grad_passes:0.00637 pad_mm_benchmark:0.00172 _recursive_joint_graph_passes:0.41032 _recursive_post_grad_passes:0.14874 async_compile.wait:1.30072 code_gen:8.01155 inductor_compile:10.49095 backend_compile:6.07894 cudagraphify.get_container:0.00245 CachingAutotuner.benchmark_all_configs:0.87697 entire_backward_compile:7.71605 CUDAGraphNode.record:0.01564 total_wall_time:16.18957 2025-12-04T13:15:13.0953302Z STATS: call_* op count: 73 | FakeTensorMode.__torch_dispatch__:6637 | FakeTensor.__torch_dispatch__:5435 | ProxyTorchDispatchMode.__torch_dispatch__:2678 2025-12-04T13:15:13.0954213Z Dynamo produced 2 graphs covering 73 ops with 6 graph breaks (5 unique) 2025-12-04T13:15:16.0674595Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:15:16.0676389Z import pynvml # type: ignore[import] 2025-12-04T13:15:18.7284954Z 2025-12-04T13:15:25.8169657Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:15:25.8170273Z loading model: 0it [00:07, ?it/s] 2025-12-04T13:15:25.8170844Z cuda train resnet50 2025-12-04T13:16:03.4834007Z Compilation time (from dynamo_timed): 29.894156029 2025-12-04T13:16:03.4852582Z pass 2025-12-04T13:16:03.5016416Z TIMING: gc:0.00407 entire_frame_compile:18.04291 _recursive_pre_grad_passes:0.00885 pad_mm_benchmark:0.00168 _recursive_joint_graph_passes:0.33499 _recursive_post_grad_passes:0.35196 async_compile.wait:0.12283 code_gen:10.31637 inductor_compile:16.51913 backend_compile:12.09354 cudagraphify.get_container:0.00447 entire_backward_compile:11.85124 CUDAGraphNode.record:0.05413 total_wall_time:29.89416 2025-12-04T13:16:03.5018283Z STATS: call_* op count: 179 | FakeTensorMode.__torch_dispatch__:16242 | FakeTensor.__torch_dispatch__:14129 | ProxyTorchDispatchMode.__torch_dispatch__:7005 2025-12-04T13:16:03.5019570Z Dynamo produced 2 graphs covering 179 ops with 6 graph breaks (5 unique) 2025-12-04T13:16:06.9750096Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:16:06.9751792Z import pynvml # type: ignore[import] 2025-12-04T13:16:09.6434941Z 2025-12-04T13:16:11.8315090Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:16:11.8315792Z loading model: 0it [00:02, ?it/s] 2025-12-04T13:16:11.8316389Z cuda train resnet50_quantized_qat 2025-12-04T13:16:11.8316973Z Traceback (most recent call last): 2025-12-04T13:16:11.8317534Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2005, in validate_model 2025-12-04T13:16:11.8318068Z self.model_iter_fn(model, example_inputs) 2025-12-04T13:16:11.8318697Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 469, in forward_and_backward_pass 2025-12-04T13:16:11.8319272Z pred = mod(*cloned_inputs) 2025-12-04T13:16:11.8319815Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 936, in call_wrapped 2025-12-04T13:16:11.8320404Z return self._wrapped_call(self, *args, **kwargs) 2025-12-04T13:16:11.8320971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 455, in __call__ 2025-12-04T13:16:11.8321875Z raise e 2025-12-04T13:16:11.8322318Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 442, in __call__ 2025-12-04T13:16:11.8322966Z return super(self.cls, obj).__call__(*args, **kwargs) # type: ignore[misc] 2025-12-04T13:16:11.8323663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T13:16:11.8324276Z return self._call_impl(*args, **kwargs) 2025-12-04T13:16:11.8324834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T13:16:11.8325395Z return forward_call(*args, **kwargs) 2025-12-04T13:16:11.8325884Z File ".3", line 167, in forward 2025-12-04T13:16:11.8326327Z activation_post_process_73 = self.activation_post_process_73(fc); fc = None 2025-12-04T13:16:11.8327040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T13:16:11.8327645Z return self._call_impl(*args, **kwargs) 2025-12-04T13:16:11.8328206Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T13:16:11.8328764Z return forward_call(*args, **kwargs) 2025-12-04T13:16:11.8329355Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fake_quantize.py", line 424, in forward 2025-12-04T13:16:11.8329980Z return torch.fused_moving_avg_obs_fake_quant( 2025-12-04T13:16:11.8330370Z RuntimeError: expected scalar type Half but found Float 2025-12-04T13:16:11.8330625Z 2025-12-04T13:16:11.8330827Z The above exception was the direct cause of the following exception: 2025-12-04T13:16:11.8331127Z 2025-12-04T13:16:11.8331234Z Traceback (most recent call last): 2025-12-04T13:16:11.8331677Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4280, in run 2025-12-04T13:16:11.8332127Z ) = runner.load_model( 2025-12-04T13:16:11.8332588Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 379, in load_model 2025-12-04T13:16:11.8333112Z self.validate_model(model, example_inputs) 2025-12-04T13:16:11.8333629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2007, in validate_model 2025-12-04T13:16:11.8334159Z raise RuntimeError("Eager run failed") from e 2025-12-04T13:16:11.8334483Z RuntimeError: Eager run failed 2025-12-04T13:16:11.8334655Z 2025-12-04T13:16:11.8334914Z eager_fail_to_run 2025-12-04T13:16:13.5007473Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:16:13.5009151Z import pynvml # type: ignore[import] 2025-12-04T13:16:16.1518237Z 2025-12-04T13:16:26.2198003Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:16:26.2198375Z loading model: 0it [00:10, ?it/s] 2025-12-04T13:16:26.2198713Z cuda train resnext50_32x4d 2025-12-04T13:17:01.6963289Z W1204 13:17:01.695000 42685 site-packages/torch/_logging/_internal.py:1204] [6/0] Profiler function will be ignored 2025-12-04T13:17:35.3060595Z Compilation time (from dynamo_timed): 62.126254225 2025-12-04T13:17:35.3079808Z pass 2025-12-04T13:17:35.3203586Z TIMING: gc:0.00672 entire_frame_compile:50.81033 _recursive_pre_grad_passes:0.02969 pad_mm_benchmark:0.0017 _recursive_joint_graph_passes:0.4631 _recursive_post_grad_passes:0.46045 async_compile.wait:3.06982 code_gen:20.47339 inductor_compile:33.52198 backend_compile:37.71557 cudagraphify.get_container:0.00763 CachingAutotuner.benchmark_all_configs:0.99309 entire_backward_compile:11.31592 CUDAGraphNode.record:0.12062 total_wall_time:62.12625 2025-12-04T13:17:35.3207984Z STATS: call_* op count: 1003 | FakeTensorMode.__torch_dispatch__:24084 | FakeTensor.__torch_dispatch__:30653 | ProxyTorchDispatchMode.__torch_dispatch__:10570 2025-12-04T13:17:35.3208821Z Dynamo produced 3 graphs covering 1003 ops with 7 graph breaks (5 unique) 2025-12-04T13:17:40.0701424Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:17:40.0703152Z import pynvml # type: ignore[import] 2025-12-04T13:17:42.7186604Z 2025-12-04T13:17:50.1152118Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:17:50.1152547Z loading model: 0it [00:07, ?it/s] 2025-12-04T13:17:50.1152895Z cuda train sam 2025-12-04T13:17:50.1161948Z Traceback (most recent call last): 2025-12-04T13:17:50.1162553Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2005, in validate_model 2025-12-04T13:17:50.1163203Z self.model_iter_fn(model, example_inputs) 2025-12-04T13:17:50.1163875Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 471, in forward_and_backward_pass 2025-12-04T13:17:50.1164458Z self.grad_scaler.scale(loss).backward() 2025-12-04T13:17:50.1165057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 629, in backward 2025-12-04T13:17:50.1165638Z torch.autograd.backward( 2025-12-04T13:17:50.1166167Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 364, in backward 2025-12-04T13:17:50.1166789Z _engine_run_backward( 2025-12-04T13:17:50.1167407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T13:17:50.1168281Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T13:17:50.1168976Z RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn 2025-12-04T13:17:50.1169370Z 2025-12-04T13:17:50.1169571Z The above exception was the direct cause of the following exception: 2025-12-04T13:17:50.1169935Z 2025-12-04T13:17:50.1170064Z Traceback (most recent call last): 2025-12-04T13:17:50.1170519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4280, in run 2025-12-04T13:17:50.1171049Z ) = runner.load_model( 2025-12-04T13:17:50.1171872Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 379, in load_model 2025-12-04T13:17:50.1172444Z self.validate_model(model, example_inputs) 2025-12-04T13:17:50.1173030Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2007, in validate_model 2025-12-04T13:17:50.1173645Z raise RuntimeError("Eager run failed") from e 2025-12-04T13:17:50.1173978Z RuntimeError: Eager run failed 2025-12-04T13:17:50.1174167Z 2025-12-04T13:17:50.1174309Z eager_fail_to_run 2025-12-04T13:17:51.7620449Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:17:51.7622177Z import pynvml # type: ignore[import] 2025-12-04T13:17:54.4085687Z 2025-12-04T13:18:03.8294169Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:18:03.8294496Z loading model: 0it [00:09, ?it/s] 2025-12-04T13:18:03.8294868Z cuda train shufflenet_v2_x1_0 2025-12-04T13:19:00.8723208Z Compilation time (from dynamo_timed): 42.696498167 2025-12-04T13:19:00.8744491Z pass 2025-12-04T13:19:00.8760314Z TIMING: gc:0.00363 entire_frame_compile:22.50918 _recursive_pre_grad_passes:0.00981 pad_mm_benchmark:0.00167 _recursive_joint_graph_passes:0.40747 _recursive_post_grad_passes:0.429 async_compile.wait:2.15779 code_gen:20.60317 inductor_compile:28.05212 backend_compile:16.13273 cudagraphify.get_container:0.00234 CachingAutotuner.benchmark_all_configs:2.12226 entire_backward_compile:20.18732 CUDAGraphNode.record:0.06188 total_wall_time:42.6965 2025-12-04T13:19:00.8762775Z STATS: call_* op count: 275 | FakeTensorMode.__torch_dispatch__:18523 | FakeTensor.__torch_dispatch__:16930 | ProxyTorchDispatchMode.__torch_dispatch__:7367 2025-12-04T13:19:00.8763551Z Dynamo produced 2 graphs covering 275 ops with 6 graph breaks (5 unique) 2025-12-04T13:19:04.7086266Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:19:04.7087937Z import pynvml # type: ignore[import] 2025-12-04T13:19:07.3601110Z 2025-12-04T13:19:08.4256039Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:19:08.4256378Z loading model: 0it [00:01, ?it/s] 2025-12-04T13:19:08.4256708Z cuda train soft_actor_critic 2025-12-04T13:19:13.5108982Z W1204 13:19:13.509000 46216 site-packages/torch/_logging/_internal.py:1204] [6/0] Profiler function will be ignored 2025-12-04T13:19:15.4818093Z Compilation time (from dynamo_timed): 5.973235506 2025-12-04T13:19:15.4818491Z pass 2025-12-04T13:19:15.4823917Z TIMING: gc:0.00383 entire_frame_compile:5.01324 _recursive_pre_grad_passes:0.00817 pad_mm_benchmark:0.00425 _recursive_joint_graph_passes:0.20291 _recursive_post_grad_passes:0.05981 async_compile.precompile:0.92016 async_compile.wait:1.06585 code_gen:2.60854 inductor_compile:3.1473 backend_compile:4.02399 cudagraphify.get_container:0.00451 CachingAutotuner.benchmark_all_configs:0.2983 entire_backward_compile:0.96 CUDAGraphNode.record:0.00676 total_wall_time:5.97324 2025-12-04T13:19:15.4826525Z STATS: call_* op count: 70 | FakeTensorMode.__torch_dispatch__:1670 | FakeTensor.__torch_dispatch__:1130 | ProxyTorchDispatchMode.__torch_dispatch__:467 2025-12-04T13:19:15.4827407Z Dynamo produced 4 graphs covering 70 ops with 6 graph breaks (5 unique) 2025-12-04T13:19:18.0476268Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:19:18.0477936Z import pynvml # type: ignore[import] 2025-12-04T13:19:20.6911539Z 2025-12-04T13:19:22.0949584Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:19:22.0950249Z loading model: 0it [00:01, ?it/s] 2025-12-04T13:19:22.0950808Z Traceback (most recent call last): 2025-12-04T13:19:22.0951776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 486, in 2025-12-04T13:19:22.0953056Z torchbench_main() 2025-12-04T13:19:22.0954240Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in torchbench_main 2025-12-04T13:19:22.0954948Z main(TorchBenchmarkRunner(), original_dir) 2025-12-04T13:19:22.0955446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3730, in main 2025-12-04T13:19:22.0956396Z process_entry(0, runner, original_dir, args) 2025-12-04T13:19:22.0957132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 3655, in process_entry 2025-12-04T13:19:22.0960806Z result = run(runner, args, original_dir) 2025-12-04T13:19:22.0961462Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4359, in run 2025-12-04T13:19:22.0966065Z assert marked, f"nothing in example_inputs had a dim with {batch_size}" 2025-12-04T13:19:22.0966625Z AssertionError: nothing in example_inputs had a dim with 32 2025-12-04T13:19:23.0208997Z Run failed with return code: 1 2025-12-04T13:19:23.0209585Z Output: None 2025-12-04T13:19:23.0210007Z Error: None 2025-12-04T13:19:23.5200657Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:19:23.5202791Z import pynvml # type: ignore[import] 2025-12-04T13:19:26.1610809Z 2025-12-04T13:19:30.1840457Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:19:30.1840804Z loading model: 0it [00:04, ?it/s] 2025-12-04T13:19:30.1841132Z cuda train squeezenet1_1 2025-12-04T13:19:55.3921093Z Compilation time (from dynamo_timed): 19.558771275 2025-12-04T13:19:55.3926271Z pass 2025-12-04T13:19:55.3944279Z TIMING: gc:0.00411 entire_frame_compile:7.46237 _recursive_pre_grad_passes:0.0056 _recursive_joint_graph_passes:0.20791 _recursive_post_grad_passes:0.08522 async_compile.wait:1.87283 code_gen:13.90293 inductor_compile:15.61033 backend_compile:5.70189 cudagraphify.get_container:0.00219 CachingAutotuner.benchmark_all_configs:1.07247 entire_backward_compile:12.0964 CUDAGraphNode.record:0.01239 total_wall_time:19.55877 2025-12-04T13:19:55.3946213Z STATS: call_* op count: 70 | FakeTensorMode.__torch_dispatch__:4314 | FakeTensor.__torch_dispatch__:2297 | ProxyTorchDispatchMode.__torch_dispatch__:1191 2025-12-04T13:19:55.3946976Z Dynamo produced 2 graphs covering 70 ops with 6 graph breaks (5 unique) 2025-12-04T13:19:58.3549106Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:19:58.3550787Z import pynvml # type: ignore[import] 2025-12-04T13:20:01.0041573Z 2025-12-04T13:20:03.1469002Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:20:03.1469459Z loading model: 0it [00:02, ?it/s] 2025-12-04T13:20:03.1469861Z cuda train torch_multimodal_clip 2025-12-04T13:21:00.5937015Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 469, in torch_dynamo_resume_in_forward_and_backward_pass_at_464 2025-12-04T13:21:00.5938443Z pred = mod(*cloned_inputs) 2025-12-04T13:21:00.5939697Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchmultimodal/models/clip/model.py", line 72, in forward 2025-12-04T13:21:00.5940726Z embeddings_b = self.encoder_b(features_b) 2025-12-04T13:21:00.5942122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchmultimodal/models/clip/text_encoder.py", line 132, in forward 2025-12-04T13:21:00.5942894Z hidden_state[torch.arange(hidden_state.shape[0]), text.argmax(dim=-1)] 2025-12-04T13:21:00.5943209Z 2025-12-04T13:21:00.5943214Z 2025-12-04T13:21:01.2903757Z W1204 13:21:01.289000 47838 site-packages/torch/_logging/_internal.py:1204] [6/0] Profiler function will be ignored 2025-12-04T13:21:58.3830457Z Compilation time (from dynamo_timed): 108.897157376 2025-12-04T13:21:58.3865834Z pass 2025-12-04T13:21:58.4796827Z TIMING: gc:0.00723 entire_frame_compile:90.47817 _recursive_pre_grad_passes:0.04948 pad_mm_benchmark:0.14763 _recursive_joint_graph_passes:2.03436 _recursive_post_grad_passes:1.99456 async_compile.wait:3.05795 code_gen:36.14654 inductor_compile:62.85885 backend_compile:71.47048 cudagraphify.get_container:0.03681 CachingAutotuner.benchmark_all_configs:0.71202 entire_backward_compile:18.41898 CUDAGraphNode.record:0.04046 total_wall_time:108.89716 2025-12-04T13:21:58.4800237Z STATS: call_* op count: 1922 | FakeTensorMode.__torch_dispatch__:59801 | FakeTensor.__torch_dispatch__:56634 | ProxyTorchDispatchMode.__torch_dispatch__:19637 2025-12-04T13:21:58.4801530Z Dynamo produced 3 graphs covering 1922 ops with 7 graph breaks (5 unique) 2025-12-04T13:22:04.9463624Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:22:04.9466913Z import pynvml # type: ignore[import] 2025-12-04T13:22:07.5930947Z 2025-12-04T13:22:08.4078453Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:22:08.4078813Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:22:08.4079120Z cuda train tts_angular 2025-12-04T13:22:11.6989414Z W1204 13:22:11.697000 48968 site-packages/torch/_logging/_internal.py:1204] [10/0] Profiler function will be ignored 2025-12-04T13:22:16.1907576Z Compilation time (from dynamo_timed): 6.731593051999999 2025-12-04T13:22:16.1907932Z pass 2025-12-04T13:22:16.1984547Z TIMING: gc:0.00624 entire_frame_compile:6.36269 _recursive_pre_grad_passes:0.00841 _recursive_joint_graph_passes:0.31889 inductor_compile:3.69479 backend_compile:5.12656 _recursive_post_grad_passes:0.03714 async_compile.precompile:0.37847 async_compile.wait:1.67352 code_gen:2.88066 entire_backward_compile:0.3689 CachingAutotuner.benchmark_all_configs:0.01581 total_wall_time:6.73159 2025-12-04T13:22:16.1987887Z STATS: call_* op count: 102 | FakeTensorMode.__torch_dispatch__:1315 | ProxyTorchDispatchMode.__torch_dispatch__:434 | FakeTensor.__torch_dispatch__:1671 2025-12-04T13:22:16.1989316Z Dynamo produced 5 graphs covering 102 ops with 9 graph breaks (6 unique) 2025-12-04T13:22:18.7871240Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:22:18.7872924Z import pynvml # type: ignore[import] 2025-12-04T13:22:21.4335716Z 2025-12-04T13:22:31.1939217Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:22:31.1939558Z loading model: 0it [00:09, ?it/s] 2025-12-04T13:22:31.1939885Z cuda train vgg16 2025-12-04T13:23:02.8578702Z Compilation time (from dynamo_timed): 11.812563248 2025-12-04T13:23:02.8581483Z pass 2025-12-04T13:23:02.8819548Z TIMING: gc:0.00332 entire_frame_compile:5.99976 _recursive_pre_grad_passes:0.00491 pad_mm_benchmark:0.56633 _recursive_joint_graph_passes:0.77722 _recursive_post_grad_passes:0.07945 async_compile.wait:0.71625 code_gen:6.9339 inductor_compile:8.04153 backend_compile:4.70762 cudagraphify.get_container:0.011 CachingAutotuner.benchmark_all_configs:1.17414 entire_backward_compile:5.8128 CUDAGraphNode.record:0.00935 total_wall_time:11.81256 2025-12-04T13:23:02.8821543Z STATS: call_* op count: 44 | FakeTensorMode.__torch_dispatch__:3305 | FakeTensor.__torch_dispatch__:1382 | ProxyTorchDispatchMode.__torch_dispatch__:845 2025-12-04T13:23:02.8822428Z Dynamo produced 2 graphs covering 44 ops with 6 graph breaks (5 unique) 2025-12-04T13:23:05.6845328Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:23:05.6847001Z import pynvml # type: ignore[import] 2025-12-04T13:23:08.3321470Z 2025-12-04T13:23:34.9771703Z loading model: 0it [00:00, ?it/s]skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-12-04T13:23:34.9773349Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-12-04T13:23:34.9774183Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-12-04T13:23:34.9774794Z v4 = masked_index(y_high, x_high) 2025-12-04T13:23:34.9775351Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-12-04T13:23:34.9776230Z return input[ 2025-12-04T13:23:34.9776370Z 2025-12-04T13:23:34.9776375Z 2025-12-04T13:23:58.8988008Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-12-04T13:23:58.8990516Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-12-04T13:23:58.8991540Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-12-04T13:23:58.8992165Z v4 = masked_index(y_high, x_high) 2025-12-04T13:23:58.8992727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-12-04T13:23:58.8993267Z return input[ 2025-12-04T13:23:58.8993419Z 2025-12-04T13:23:58.8993423Z 2025-12-04T13:24:23.2981584Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-12-04T13:24:23.2982725Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-12-04T13:24:23.2983506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-12-04T13:24:23.2984141Z v4 = masked_index(y_high, x_high) 2025-12-04T13:24:23.2984701Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-12-04T13:24:23.2985244Z return input[ 2025-12-04T13:24:23.2985380Z 2025-12-04T13:24:23.2985384Z 2025-12-04T13:24:47.4809657Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-12-04T13:24:47.4810807Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-12-04T13:24:47.4811591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-12-04T13:24:47.4812216Z v4 = masked_index(y_high, x_high) 2025-12-04T13:24:47.4813083Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-12-04T13:24:47.4813634Z return input[ 2025-12-04T13:24:47.4813773Z 2025-12-04T13:24:47.4813777Z 2025-12-04T13:25:14.5098910Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-12-04T13:25:14.5101204Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-12-04T13:25:14.5102288Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-12-04T13:25:14.5102906Z v4 = masked_index(y_high, x_high) 2025-12-04T13:25:14.5103477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-12-04T13:25:14.5104030Z return input[ 2025-12-04T13:25:14.5104170Z 2025-12-04T13:25:14.5104175Z 2025-12-04T13:25:36.3743526Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-12-04T13:25:36.3745521Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-12-04T13:25:36.3746557Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-12-04T13:25:36.3747568Z v4 = masked_index(y_high, x_high) 2025-12-04T13:25:36.3748135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-12-04T13:25:36.3748687Z return input[ 2025-12-04T13:25:36.3748824Z 2025-12-04T13:25:36.3748828Z 2025-12-04T13:26:14.6152709Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-12-04T13:26:14.6153860Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-12-04T13:26:14.6154641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-12-04T13:26:14.6155257Z v4 = masked_index(y_high, x_high) 2025-12-04T13:26:14.6155809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-12-04T13:26:14.6156362Z return input[ 2025-12-04T13:26:14.6156504Z 2025-12-04T13:26:14.6156508Z 2025-12-04T13:26:24.0514950Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-12-04T13:26:24.0516118Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-12-04T13:26:24.0516933Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-12-04T13:26:24.0517551Z v4 = masked_index(y_high, x_high) 2025-12-04T13:26:24.0518113Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-12-04T13:26:24.0518665Z return input[ 2025-12-04T13:26:24.0518812Z 2025-12-04T13:26:24.0518827Z 2025-12-04T13:26:26.1208434Z 2025-12-04T13:26:26.1208985Z loading model: 0it [03:17, ?it/s] 2025-12-04T13:26:26.1209651Z cuda train vision_maskrcnn 2025-12-04T13:26:27.0304459Z W1204 13:26:27.029000 50042 site-packages/torch/_dynamo/convert_frame.py:1668] [0/8] torch._dynamo hit config.recompile_limit (8) 2025-12-04T13:26:27.0306622Z W1204 13:26:27.029000 50042 site-packages/torch/_dynamo/convert_frame.py:1668] [0/8] function: '_roi_align' (/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py:114) 2025-12-04T13:26:27.0309364Z W1204 13:26:27.029000 50042 site-packages/torch/_dynamo/convert_frame.py:1668] [0/8] last reason: 0/7: tensor 'rois' dtype mismatch. expected Float, actual Double 2025-12-04T13:26:27.0311339Z W1204 13:26:27.029000 50042 site-packages/torch/_dynamo/convert_frame.py:1668] [0/8] To log all recompilation reasons, use TORCH_LOGS="recompiles". 2025-12-04T13:26:27.0312653Z W1204 13:26:27.029000 50042 site-packages/torch/_dynamo/convert_frame.py:1668] [0/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/compile/programming_model.recompilation.html 2025-12-04T13:27:01.4893637Z W1204 13:27:01.488000 50042 site-packages/torch/_inductor/utils.py:2565] [4/0_1] DeviceCopy in input program 2025-12-04T13:27:01.4906959Z W1204 13:27:01.490000 50042 site-packages/torch/_inductor/utils.py:2565] [4/0_1] DeviceCopy in input program 2025-12-04T13:27:01.4921399Z W1204 13:27:01.491000 50042 site-packages/torch/_inductor/utils.py:2565] [4/0_1] DeviceCopy in input program 2025-12-04T13:27:01.4935270Z W1204 13:27:01.492000 50042 site-packages/torch/_inductor/utils.py:2565] [4/0_1] DeviceCopy in input program 2025-12-04T13:27:01.4949723Z W1204 13:27:01.494000 50042 site-packages/torch/_inductor/utils.py:2565] [4/0_1] DeviceCopy in input program 2025-12-04T13:27:02.1749537Z cudagraph partition due to DeviceCopy ops. Found from : 2025-12-04T13:27:02.1753016Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-12-04T13:27:02.1754011Z anchors = self.anchor_generator(images, features) 2025-12-04T13:27:02.1754674Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward 2025-12-04T13:27:02.1755296Z self.set_cell_anchors(dtype, device) 2025-12-04T13:27:02.1755952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-12-04T13:27:02.1757161Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T13:27:02.1758112Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-12-04T13:27:02.1758930Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T13:27:02.1759328Z 2025-12-04T13:27:02.1759506Z cudagraph partition due to DeviceCopy ops. Found from : 2025-12-04T13:27:02.1760154Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-12-04T13:27:02.1760777Z anchors = self.anchor_generator(images, features) 2025-12-04T13:27:02.1761424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward 2025-12-04T13:27:02.1762048Z self.set_cell_anchors(dtype, device) 2025-12-04T13:27:02.1762708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-12-04T13:27:02.1763548Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T13:27:02.1764363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-12-04T13:27:02.1765186Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T13:27:02.1765574Z 2025-12-04T13:27:02.1765752Z cudagraph partition due to DeviceCopy ops. Found from : 2025-12-04T13:27:02.1766379Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-12-04T13:27:02.1766999Z anchors = self.anchor_generator(images, features) 2025-12-04T13:27:02.1767839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward 2025-12-04T13:27:02.1768475Z self.set_cell_anchors(dtype, device) 2025-12-04T13:27:02.1769119Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-12-04T13:27:02.1769958Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T13:27:02.1770825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-12-04T13:27:02.1771644Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T13:27:02.1772034Z 2025-12-04T13:27:02.1772202Z cudagraph partition due to DeviceCopy ops. Found from : 2025-12-04T13:27:02.1772837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-12-04T13:27:02.1773460Z anchors = self.anchor_generator(images, features) 2025-12-04T13:27:02.1774108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward 2025-12-04T13:27:02.1774723Z self.set_cell_anchors(dtype, device) 2025-12-04T13:27:02.1775375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-12-04T13:27:02.1777022Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T13:27:02.1777834Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-12-04T13:27:02.1778840Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T13:27:02.1779235Z 2025-12-04T13:27:02.1779403Z cudagraph partition due to DeviceCopy ops. Found from : 2025-12-04T13:27:02.1780044Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-12-04T13:27:02.1780656Z anchors = self.anchor_generator(images, features) 2025-12-04T13:27:02.1781312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward 2025-12-04T13:27:02.1781997Z self.set_cell_anchors(dtype, device) 2025-12-04T13:27:02.1782656Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-12-04T13:27:02.1783498Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T13:27:02.1784312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-12-04T13:27:02.1785128Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T13:27:02.1785515Z 2025-12-04T13:27:02.2256666Z cudagraph partition into 2 partitions 2025-12-04T13:27:05.5259736Z W1204 13:27:05.524000 50042 site-packages/torch/_dynamo/variables/tensor.py:1073] [17/0] Graph break from `Tensor.item()`, consider setting: 2025-12-04T13:27:05.5260731Z W1204 13:27:05.524000 50042 site-packages/torch/_dynamo/variables/tensor.py:1073] [17/0] torch._dynamo.config.capture_scalar_outputs = True 2025-12-04T13:27:05.5261557Z W1204 13:27:05.524000 50042 site-packages/torch/_dynamo/variables/tensor.py:1073] [17/0] or: 2025-12-04T13:27:05.5262327Z W1204 13:27:05.524000 50042 site-packages/torch/_dynamo/variables/tensor.py:1073] [17/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-12-04T13:27:05.5263212Z W1204 13:27:05.524000 50042 site-packages/torch/_dynamo/variables/tensor.py:1073] [17/0] to include these operations in the captured graph. 2025-12-04T13:27:05.5263953Z W1204 13:27:05.524000 50042 site-packages/torch/_dynamo/variables/tensor.py:1073] [17/0] 2025-12-04T13:27:05.5264993Z W1204 13:27:05.524000 50042 site-packages/torch/_dynamo/variables/tensor.py:1073] [17/0] Graph break: from user code at: 2025-12-04T13:27:05.5266351Z W1204 13:27:05.524000 50042 site-packages/torch/_dynamo/variables/tensor.py:1073] [17/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/generalized_rcnn.py", line 118, in torch_dynamo_resume_in_forward_at_117 2025-12-04T13:27:05.5267870Z W1204 13:27:05.524000 50042 site-packages/torch/_dynamo/variables/tensor.py:1073] [17/0] detections, detector_losses = self.roi_heads(features, proposals, images.image_sizes, targets) 2025-12-04T13:27:05.5269219Z W1204 13:27:05.524000 50042 site-packages/torch/_dynamo/variables/tensor.py:1073] [17/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 763, in forward 2025-12-04T13:27:05.5270463Z W1204 13:27:05.524000 50042 site-packages/torch/_dynamo/variables/tensor.py:1073] [17/0] box_features = self.box_roi_pool(features, proposals, image_shapes) 2025-12-04T13:27:05.5271651Z W1204 13:27:05.524000 50042 site-packages/torch/_dynamo/variables/tensor.py:1073] [17/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 310, in forward 2025-12-04T13:27:05.5272756Z W1204 13:27:05.524000 50042 site-packages/torch/_dynamo/variables/tensor.py:1073] [17/0] self.scales, self.map_levels = _setup_scales( 2025-12-04T13:27:05.5274069Z W1204 13:27:05.524000 50042 site-packages/torch/_dynamo/variables/tensor.py:1073] [17/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 122, in _setup_scales 2025-12-04T13:27:05.5275277Z W1204 13:27:05.524000 50042 site-packages/torch/_dynamo/variables/tensor.py:1073] [17/0] scales = [_infer_scale(feat, original_input_shape) for feat in features] 2025-12-04T13:27:05.5276481Z W1204 13:27:05.524000 50042 site-packages/torch/_dynamo/variables/tensor.py:1073] [17/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 122, in 2025-12-04T13:27:05.5277676Z W1204 13:27:05.524000 50042 site-packages/torch/_dynamo/variables/tensor.py:1073] [17/0] scales = [_infer_scale(feat, original_input_shape) for feat in features] 2025-12-04T13:27:05.5278866Z W1204 13:27:05.524000 50042 site-packages/torch/_dynamo/variables/tensor.py:1073] [17/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 104, in _infer_scale 2025-12-04T13:27:05.5280033Z W1204 13:27:05.524000 50042 site-packages/torch/_dynamo/variables/tensor.py:1073] [17/0] scale = 2 ** float(torch.tensor(approx_scale).log2().round()) 2025-12-04T13:27:05.5280805Z W1204 13:27:05.524000 50042 site-packages/torch/_dynamo/variables/tensor.py:1073] [17/0] 2025-12-04T13:27:05.5281387Z W1204 13:27:05.524000 50042 site-packages/torch/_dynamo/variables/tensor.py:1073] [17/0] 2025-12-04T13:27:21.4858034Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255 2025-12-04T13:27:21.4859335Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-12-04T13:27:21.4860100Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-12-04T13:27:21.4860842Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-12-04T13:27:21.4861694Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-12-04T13:27:21.4862302Z v4 = masked_index(y_high, x_high) 2025-12-04T13:27:21.4862853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-12-04T13:27:21.4863395Z return input[ 2025-12-04T13:27:21.4863535Z 2025-12-04T13:27:21.4863802Z 2025-12-04T13:27:31.3294957Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255 2025-12-04T13:27:31.3296278Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-12-04T13:27:31.3297067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-12-04T13:27:31.3297792Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-12-04T13:27:31.3298565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-12-04T13:27:31.3299171Z v4 = masked_index(y_high, x_high) 2025-12-04T13:27:31.3299741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-12-04T13:27:31.3300277Z return input[ 2025-12-04T13:27:31.3300420Z 2025-12-04T13:27:31.3300424Z 2025-12-04T13:27:41.0954556Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255 2025-12-04T13:27:41.0956162Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-12-04T13:27:41.0956932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-12-04T13:27:41.0957661Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-12-04T13:27:41.0958436Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-12-04T13:27:41.0959051Z v4 = masked_index(y_high, x_high) 2025-12-04T13:27:41.0959608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-12-04T13:27:41.0960145Z return input[ 2025-12-04T13:27:41.0960289Z 2025-12-04T13:27:41.0960294Z 2025-12-04T13:28:30.4175787Z W1204 13:28:30.416000 50042 site-packages/torch/fx/experimental/symbolic_shapes.py:2472] [30/4] RecursionError in sympy.xreplace(Eq(Mod(2*s29, s93), 0), {s29: evaluate_static_shape_0 + 1, s93: evaluate_static_shape_1 + 1}) 2025-12-04T13:28:32.0530749Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255 2025-12-04T13:28:32.0532104Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-12-04T13:28:32.0532917Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-12-04T13:28:32.0533647Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-12-04T13:28:32.0534419Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-12-04T13:28:32.0535020Z v4 = masked_index(y_high, x_high) 2025-12-04T13:28:32.0535573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-12-04T13:28:32.0536111Z return input[ 2025-12-04T13:28:32.0536252Z 2025-12-04T13:28:32.0536257Z 2025-12-04T13:28:45.2156835Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255 2025-12-04T13:28:45.2158474Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-12-04T13:28:45.2159249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-12-04T13:28:45.2159987Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-12-04T13:28:45.2160763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-12-04T13:28:45.2161379Z v4 = masked_index(y_high, x_high) 2025-12-04T13:28:45.2161939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-12-04T13:28:45.2162484Z return input[ 2025-12-04T13:28:45.2162626Z 2025-12-04T13:28:45.2162631Z 2025-12-04T13:29:12.4389551Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255 2025-12-04T13:29:12.4390844Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-12-04T13:29:12.4391608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-12-04T13:29:12.4392341Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-12-04T13:29:12.4394310Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-12-04T13:29:12.4394911Z v4 = masked_index(y_high, x_high) 2025-12-04T13:29:12.4395464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-12-04T13:29:12.4396003Z return input[ 2025-12-04T13:29:12.4396138Z 2025-12-04T13:29:12.4396143Z 2025-12-04T13:29:18.3257456Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255 2025-12-04T13:29:18.3258753Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-12-04T13:29:18.3259522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-12-04T13:29:18.3260276Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-12-04T13:29:18.3261055Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-12-04T13:29:18.3261750Z v4 = masked_index(y_high, x_high) 2025-12-04T13:29:18.3262304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-12-04T13:29:18.3262853Z return input[ 2025-12-04T13:29:18.3262996Z 2025-12-04T13:29:18.3263000Z 2025-12-04T13:29:27.1577891Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 418, in torch_dynamo_resume_in_paste_mask_in_image_at_410 2025-12-04T13:29:27.1579191Z mask = F.interpolate(mask, size=(h, w), mode="bilinear", align_corners=False) 2025-12-04T13:29:27.1579550Z 2025-12-04T13:29:27.1579555Z 2025-12-04T13:29:28.5608329Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 418, in torch_dynamo_resume_in_paste_mask_in_image_at_410 2025-12-04T13:29:28.5609742Z mask = F.interpolate(mask, size=(h, w), mode="bilinear", align_corners=False) 2025-12-04T13:29:28.5610120Z 2025-12-04T13:29:28.5610124Z 2025-12-04T13:29:29.7868266Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 823, in torch_dynamo_resume_in_forward_at_806 2025-12-04T13:29:29.7869639Z masks_probs = maskrcnn_inference(mask_logits, labels) 2025-12-04T13:29:29.7870347Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 79, in maskrcnn_inference 2025-12-04T13:29:29.7871048Z mask_prob = mask_prob[index, labels][:, None] 2025-12-04T13:29:29.7871268Z 2025-12-04T13:29:29.7871273Z 2025-12-04T13:29:33.0065920Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255 2025-12-04T13:29:33.0067230Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-12-04T13:29:33.0067991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-12-04T13:29:33.0068722Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-12-04T13:29:33.0069492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-12-04T13:29:33.0070459Z v4 = masked_index(y_high, x_high) 2025-12-04T13:29:33.0071015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-12-04T13:29:33.0071555Z return input[ 2025-12-04T13:29:33.0071690Z 2025-12-04T13:29:33.0071695Z 2025-12-04T13:29:37.5767809Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/generalized_rcnn.py", line 114, in forward 2025-12-04T13:29:37.5769945Z features = self.backbone(images.tensors) 2025-12-04T13:29:37.5771070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/backbone_utils.py", line 58, in forward 2025-12-04T13:29:37.5771710Z x = self.fpn(x) 2025-12-04T13:29:37.5772250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/feature_pyramid_network.py", line 194, in forward 2025-12-04T13:29:37.5772980Z inner_top_down = F.interpolate(last_inner, size=feat_shape, mode="nearest") 2025-12-04T13:29:37.5773291Z 2025-12-04T13:29:37.5773295Z 2025-12-04T13:29:39.0126780Z ERROR:common: 2025-12-04T13:29:39.0127303Z Traceback (most recent call last): 2025-12-04T13:29:39.0128239Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2333, in check_accuracy 2025-12-04T13:29:39.0129160Z new_result = self.run_n_iterations( 2025-12-04T13:29:39.0130119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2044, in run_n_iterations 2025-12-04T13:29:39.0131138Z return model_iter_fn(mod, inputs, collect_outputs=True) 2025-12-04T13:29:39.0131846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 926, in compile_wrapper 2025-12-04T13:29:39.0132415Z return fn(*args, **kwargs) 2025-12-04T13:29:39.0132942Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 463, in forward_and_backward_pass 2025-12-04T13:29:39.0133533Z cloned_inputs = clone_inputs(inputs) 2025-12-04T13:29:39.0134191Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 464, in torch_dynamo_resume_in_forward_and_backward_pass_at_463 2025-12-04T13:29:39.0134849Z self.optimizer_zero_grad(mod) 2025-12-04T13:29:39.0135483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 469, in torch_dynamo_resume_in_forward_and_backward_pass_at_464 2025-12-04T13:29:39.0136406Z pred = mod(*cloned_inputs) 2025-12-04T13:29:39.0136977Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T13:29:39.0137570Z return self._call_impl(*args, **kwargs) 2025-12-04T13:29:39.0138135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T13:29:39.0138688Z return forward_call(*args, **kwargs) 2025-12-04T13:29:39.0139327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/generalized_rcnn.py", line 117, in forward 2025-12-04T13:29:39.0140050Z proposals, proposal_losses = self.rpn(images, features, targets) 2025-12-04T13:29:39.0140726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl 2025-12-04T13:29:39.0141369Z return self._call_impl(*args, **kwargs) 2025-12-04T13:29:39.0142018Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl 2025-12-04T13:29:39.0142571Z return forward_call(*args, **kwargs) 2025-12-04T13:29:39.0143125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 2194, in __call__ 2025-12-04T13:29:39.0143696Z result = self._torchdynamo_orig_backend( 2025-12-04T13:29:39.0144250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1937, in __call__ 2025-12-04T13:29:39.0144952Z result = self._inner_convert( 2025-12-04T13:29:39.0145476Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 706, in __call__ 2025-12-04T13:29:39.0146006Z result = _compile( 2025-12-04T13:29:39.0146491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1807, in _compile 2025-12-04T13:29:39.0147049Z raise InternalTorchDynamoError( 2025-12-04T13:29:39.0147603Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1744, in _compile 2025-12-04T13:29:39.0148235Z guarded_code, tracer_output = compile_inner(code, one_graph, hooks) 2025-12-04T13:29:39.0148880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_utils_internal.py", line 97, in wrapper_function 2025-12-04T13:29:39.0149432Z return function(*args, **kwargs) 2025-12-04T13:29:39.0149989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1425, in compile_inner 2025-12-04T13:29:39.0150589Z return _compile_inner(code, one_graph, hooks) 2025-12-04T13:29:39.0151180Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1459, in _compile_inner 2025-12-04T13:29:39.0151755Z dynamo_output = compile_frame( 2025-12-04T13:29:39.0152307Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1341, in compile_frame 2025-12-04T13:29:39.0152964Z bytecode, tracer_output = transform_code_object(code, transform) 2025-12-04T13:29:39.0153699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/bytecode_transformation.py", line 1600, in transform_code_object 2025-12-04T13:29:39.0154425Z tracer_output = transformations(instructions, code_options) 2025-12-04T13:29:39.0155043Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1313, in transform 2025-12-04T13:29:39.0155603Z tracer_output = trace_frame( 2025-12-04T13:29:39.0156114Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 328, in _fn 2025-12-04T13:29:39.0156642Z return fn(*args, **kwargs) 2025-12-04T13:29:39.0157159Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 837, in trace_frame 2025-12-04T13:29:39.0157690Z run_tracer() 2025-12-04T13:29:39.0158259Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 818, in run_tracer 2025-12-04T13:29:39.0158788Z tracer.run() 2025-12-04T13:29:39.0159289Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1639, in run 2025-12-04T13:29:39.0159817Z while self.step(): 2025-12-04T13:29:39.0160310Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1319, in step 2025-12-04T13:29:39.0160890Z self.dispatch_table[inst.opcode](self, inst) 2025-12-04T13:29:39.0161465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 858, in wrapper 2025-12-04T13:29:39.0162013Z return inner_fn(self, inst) 2025-12-04T13:29:39.0162566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2496, in CALL_FUNCTION 2025-12-04T13:29:39.0163150Z self.call_function(fn, args, {}) 2025-12-04T13:29:39.0163723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1225, in call_function 2025-12-04T13:29:39.0164418Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-12-04T13:29:39.0165121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/lazy.py", line 218, in realize_and_forward 2025-12-04T13:29:39.0165776Z return getattr(self.realize(), name)(*args, **kwargs) 2025-12-04T13:29:39.0166498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/nn_module.py", line 1148, in call_function 2025-12-04T13:29:39.0176952Z return variables.UserFunctionVariable(fn, source=source).call_function( 2025-12-04T13:29:39.0177942Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 678, in call_function 2025-12-04T13:29:39.0178583Z return super().call_function(tx, args, kwargs) 2025-12-04T13:29:39.0179215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 394, in call_function 2025-12-04T13:29:39.0180021Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) # type: ignore[attr-defined] 2025-12-04T13:29:39.0180866Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1247, in inline_user_function_return 2025-12-04T13:29:39.0181693Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-12-04T13:29:39.0182416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4723, in inline_call 2025-12-04T13:29:39.0182995Z return tracer.inline_call_() 2025-12-04T13:29:39.0183558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4940, in inline_call_ 2025-12-04T13:29:39.0184113Z self.run() 2025-12-04T13:29:39.0184589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1639, in run 2025-12-04T13:29:39.0185125Z while self.step(): 2025-12-04T13:29:39.0185621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1319, in step 2025-12-04T13:29:39.0186195Z self.dispatch_table[inst.opcode](self, inst) 2025-12-04T13:29:39.0186775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 858, in wrapper 2025-12-04T13:29:39.0187334Z return inner_fn(self, inst) 2025-12-04T13:29:39.0187890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2496, in CALL_FUNCTION 2025-12-04T13:29:39.0188477Z self.call_function(fn, args, {}) 2025-12-04T13:29:39.0189049Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1225, in call_function 2025-12-04T13:29:39.0189737Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-12-04T13:29:39.0190553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 1437, in call_function 2025-12-04T13:29:39.0191187Z return super().call_function(tx, args, kwargs) 2025-12-04T13:29:39.0191815Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 678, in call_function 2025-12-04T13:29:39.0192437Z return super().call_function(tx, args, kwargs) 2025-12-04T13:29:39.0193059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 394, in call_function 2025-12-04T13:29:39.0193866Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) # type: ignore[attr-defined] 2025-12-04T13:29:39.0194713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1247, in inline_user_function_return 2025-12-04T13:29:39.0195482Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-12-04T13:29:39.0196204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4723, in inline_call 2025-12-04T13:29:39.0196782Z return tracer.inline_call_() 2025-12-04T13:29:39.0197346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4940, in inline_call_ 2025-12-04T13:29:39.0197900Z self.run() 2025-12-04T13:29:39.0198375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1639, in run 2025-12-04T13:29:39.0198999Z while self.step(): 2025-12-04T13:29:39.0199490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1319, in step 2025-12-04T13:29:39.0200073Z self.dispatch_table[inst.opcode](self, inst) 2025-12-04T13:29:39.0200652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 858, in wrapper 2025-12-04T13:29:39.0201219Z return inner_fn(self, inst) 2025-12-04T13:29:39.0201813Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2496, in CALL_FUNCTION 2025-12-04T13:29:39.0202395Z self.call_function(fn, args, {}) 2025-12-04T13:29:39.0202966Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1225, in call_function 2025-12-04T13:29:39.0203647Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-12-04T13:29:39.0204350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py", line 394, in call_function 2025-12-04T13:29:39.0205152Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) # type: ignore[attr-defined] 2025-12-04T13:29:39.0205990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1247, in inline_user_function_return 2025-12-04T13:29:39.0206772Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-12-04T13:29:39.0207478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4723, in inline_call 2025-12-04T13:29:39.0208050Z return tracer.inline_call_() 2025-12-04T13:29:39.0208609Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 4940, in inline_call_ 2025-12-04T13:29:39.0209162Z self.run() 2025-12-04T13:29:39.0209631Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1639, in run 2025-12-04T13:29:39.0210153Z while self.step(): 2025-12-04T13:29:39.0210638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 1319, in step 2025-12-04T13:29:39.0211198Z self.dispatch_table[inst.opcode](self, inst) 2025-12-04T13:29:39.0211832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2628, in LOAD_ATTR 2025-12-04T13:29:39.0212502Z self._load_attr(inst.argval) 2025-12-04T13:29:39.0213042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2615, in _load_attr 2025-12-04T13:29:39.0213642Z result = BuiltinVariable(getattr).call_function( 2025-12-04T13:29:39.0214252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builtin.py", line 1436, in call_function 2025-12-04T13:29:39.0214911Z return handler(tx, args, kwargs) # type: ignore[return-value] 2025-12-04T13:29:39.0215538Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builtin.py", line 1017, in 2025-12-04T13:29:39.0216109Z tx, [v.realize() for v in args], kwargs 2025-12-04T13:29:39.0216677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builtin.py", line 1017, in 2025-12-04T13:29:39.0217258Z tx, [v.realize() for v in args], kwargs 2025-12-04T13:29:39.0217792Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/lazy.py", line 74, in realize 2025-12-04T13:29:39.0218324Z self._cache.realize() 2025-12-04T13:29:39.0218821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/lazy.py", line 34, in realize 2025-12-04T13:29:39.0219431Z self.vt = builder.VariableBuilder(tx, self.source)(self.value) 2025-12-04T13:29:39.0220065Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 473, in __call__ 2025-12-04T13:29:39.0220702Z vt = self._wrap(value) 2025-12-04T13:29:39.0221215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 700, in _wrap 2025-12-04T13:29:39.0221817Z return type_dispatch(self, value) 2025-12-04T13:29:39.0222386Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 2206, in wrap_tensor 2025-12-04T13:29:39.0222990Z example_value = wrap_to_fake_tensor_and_record( 2025-12-04T13:29:39.0223662Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 3685, in wrap_to_fake_tensor_and_record 2025-12-04T13:29:39.0224306Z fake_e = wrap_fake_exception( 2025-12-04T13:29:39.0224847Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 2965, in wrap_fake_exception 2025-12-04T13:29:39.0225385Z return fn() 2025-12-04T13:29:39.0226179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 3686, in 2025-12-04T13:29:39.0226742Z lambda: tx.fake_mode.from_tensor( 2025-12-04T13:29:39.0227301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 3064, in from_tensor 2025-12-04T13:29:39.0227914Z return self.fake_tensor_converter.from_real_tensor( 2025-12-04T13:29:39.0228540Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 416, in from_real_tensor 2025-12-04T13:29:39.0229123Z out = self.meta_converter( 2025-12-04T13:29:39.0229649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/meta_utils.py", line 1931, in __call__ 2025-12-04T13:29:39.0230252Z t_desc = self.describer.describe_tensor(t, trace=trace) 2025-12-04T13:29:39.0230883Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/meta_utils.py", line 311, in describe_tensor 2025-12-04T13:29:39.0231562Z storage = self.describe_storage(t.untyped_storage(), trace=trace) 2025-12-04T13:29:39.0232814Z torch._dynamo.exc.InternalTorchDynamoError: RuntimeError: Error: accessing tensor output of CUDAGraphs that has been overwritten by a subsequent run. Stack trace: File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-12-04T13:29:39.0234022Z anchors = self.anchor_generator(images, features) 2025-12-04T13:29:39.0234810Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward 2025-12-04T13:29:39.0235439Z self.set_cell_anchors(dtype, device) 2025-12-04T13:29:39.0236083Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-12-04T13:29:39.0236910Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T13:29:39.0237726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-12-04T13:29:39.0239028Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]. To prevent overwriting, clone the tensor outside of torch.compile() or call torch.compiler.cudagraph_mark_step_begin() before each model invocation. 2025-12-04T13:29:39.0239906Z 2025-12-04T13:29:39.0239993Z from user code: 2025-12-04T13:29:39.0240506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-12-04T13:29:39.0241123Z anchors = self.anchor_generator(images, features) 2025-12-04T13:29:39.0241766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 126, in forward 2025-12-04T13:29:39.0242382Z self.set_cell_anchors(dtype, device) 2025-12-04T13:29:39.0243144Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-12-04T13:29:39.0243978Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T13:29:39.0244789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-12-04T13:29:39.0245591Z self.cell_anchors = [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-12-04T13:29:39.0245977Z 2025-12-04T13:29:39.0246501Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T13:29:39.0247125Z 2025-12-04T13:29:39.0247326Z TorchDynamo optimized model failed to run because of following error 2025-12-04T13:29:39.0394243Z Compilation time (from dynamo_timed): 179.564695925 2025-12-04T13:29:39.0423372Z fail_to_run 2025-12-04T13:29:39.0854566Z TIMING: gc:0.05347 entire_frame_compile:171.58895 _recursive_pre_grad_passes:0.03809 _recursive_joint_graph_passes:1.12265 inductor_compile:71.38591 backend_compile:110.66183 _recursive_post_grad_passes:1.12941 async_compile.wait:7.49376 code_gen:33.50007 cudagraphify.get_container:0.02308 CachingAutotuner.benchmark_all_configs:5.59821 pad_mm_benchmark:0.00623 entire_backward_compile:7.97575 CUDAGraphNode.record:0.02711 total_wall_time:179.5647 2025-12-04T13:29:39.0859397Z STATS: call_* op count: 3216 | FakeTensor.__torch_dispatch__:41344 | FakeTensorMode.__torch_dispatch__:75046 | attempt fast:1701 | slow no contiguity match:165 | fast is_contiguous:1207 | slow both tensors nontrivially broadcast:329 | ProxyTorchDispatchMode.__torch_dispatch__:15251 2025-12-04T13:29:39.0861412Z Dynamo produced 38 graphs covering 1232 ops with 37 graph breaks (9 unique) 2025-12-04T13:29:57.1847333Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. 2025-12-04T13:29:57.1849028Z import pynvml # type: ignore[import] 2025-12-04T13:29:59.8203921Z 2025-12-04T13:30:10.1919833Z loading model: 0it [00:00, ?it/s] 2025-12-04T13:30:10.1920184Z loading model: 0it [00:10, ?it/s] 2025-12-04T13:30:10.1920489Z cuda train yolov3 2025-12-04T13:30:55.8436452Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T13:30:55.8439310Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 469, in torch_dynamo_resume_in_forward_and_backward_pass_at_464 2025-12-04T13:30:55.8440002Z pred = mod(*cloned_inputs) 2025-12-04T13:30:55.8440457Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-12-04T13:30:55.8440924Z return self.forward_once(x) 2025-12-04T13:30:55.8441395Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once 2025-12-04T13:30:55.8441884Z yolo_out.append(module(x, out)) 2025-12-04T13:30:55.8442494Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward 2025-12-04T13:30:55.8443225Z self.grid = self.create_grids((nx, ny), p.device) 2025-12-04T13:30:55.8443930Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids 2025-12-04T13:30:55.8444471Z self.ng = torch.tensor(ng, dtype=torch.float) 2025-12-04T13:30:55.8444708Z 2025-12-04T13:30:55.8444862Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T13:30:55.8445575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 469, in torch_dynamo_resume_in_forward_and_backward_pass_at_464 2025-12-04T13:30:55.8446240Z pred = mod(*cloned_inputs) 2025-12-04T13:30:55.8446678Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-12-04T13:30:55.8447470Z return self.forward_once(x) 2025-12-04T13:30:55.8447931Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once 2025-12-04T13:30:55.8448428Z yolo_out.append(module(x, out)) 2025-12-04T13:30:55.8448875Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward 2025-12-04T13:30:55.8449386Z self.grid = self.create_grids((nx, ny), p.device) 2025-12-04T13:30:55.8449905Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids 2025-12-04T13:30:55.8450432Z self.ng = torch.tensor(ng, dtype=torch.float) 2025-12-04T13:30:55.8450661Z 2025-12-04T13:30:55.8450834Z cudagraph partition due to non gpu ops. Found from : 2025-12-04T13:30:55.8451566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 469, in torch_dynamo_resume_in_forward_and_backward_pass_at_464 2025-12-04T13:30:55.8452232Z pred = mod(*cloned_inputs) 2025-12-04T13:30:55.8452678Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-12-04T13:30:55.8453141Z return self.forward_once(x) 2025-12-04T13:30:55.8453599Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once 2025-12-04T13:30:55.8454093Z yolo_out.append(module(x, out)) 2025-12-04T13:30:55.8454537Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward 2025-12-04T13:30:55.8455046Z self.grid = self.create_grids((nx, ny), p.device) 2025-12-04T13:30:55.8455563Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids 2025-12-04T13:30:55.8456103Z self.ng = torch.tensor(ng, dtype=torch.float) 2025-12-04T13:30:55.8456329Z 2025-12-04T13:30:56.5564594Z cudagraph partition into 2 partitions 2025-12-04T13:31:43.7952490Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 469, in torch_dynamo_resume_in_forward_and_backward_pass_at_464 2025-12-04T13:31:43.7953955Z pred = mod(*cloned_inputs) 2025-12-04T13:31:43.7954555Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-12-04T13:31:43.7955097Z return self.forward_once(x) 2025-12-04T13:31:43.7955556Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 374, in forward_once 2025-12-04T13:31:43.7956016Z x = module(x) 2025-12-04T13:31:43.7956154Z 2025-12-04T13:31:43.7956159Z 2025-12-04T13:31:49.5323166Z W1204 13:31:49.531000 54504 site-packages/torch/_logging/_internal.py:1204] [6/0] Profiler function will be ignored 2025-12-04T13:32:47.6378245Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 469, in torch_dynamo_resume_in_forward_and_backward_pass_at_464 2025-12-04T13:32:47.6379326Z pred = mod(*cloned_inputs) 2025-12-04T13:32:47.6379786Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-12-04T13:32:47.6380265Z return self.forward_once(x) 2025-12-04T13:32:47.6380725Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 374, in forward_once 2025-12-04T13:32:47.6381188Z x = module(x) 2025-12-04T13:32:47.6381402Z 2025-12-04T13:32:47.6381407Z 2025-12-04T13:32:49.4909113Z Compilation time (from dynamo_timed): 136.32675677 2025-12-04T13:32:49.4954239Z pass 2025-12-04T13:32:49.5364886Z TIMING: gc:0.00649 entire_frame_compile:102.51784 _recursive_pre_grad_passes:0.04952 _recursive_joint_graph_passes:0.68195 _recursive_post_grad_passes:0.96114 async_compile.wait:5.44804 code_gen:55.52249 inductor_compile:78.88426 backend_compile:70.89701 cudagraphify.get_container:0.02472 CachingAutotuner.benchmark_all_configs:2.71107 entire_backward_compile:33.80892 CUDAGraphNode.record:0.0101 total_wall_time:136.32676 2025-12-04T13:32:49.5369284Z STATS: call_* op count: 1826 | FakeTensorMode.__torch_dispatch__:43018 | FakeTensor.__torch_dispatch__:55915 | ProxyTorchDispatchMode.__torch_dispatch__:16361 2025-12-04T13:32:49.5370104Z Dynamo produced 4 graphs covering 1826 ops with 8 graph breaks (5 unique) 2025-12-04T13:32:55.2236061Z accuracy pass_rate=76.67% 2025-12-04T13:32:55.2240546Z calls_captured gmean=0.00x mean=501.033x 2025-12-04T13:32:55.2245006Z unique_graphs gmean=0.00x mean=3.733x 2025-12-04T13:32:55.2249446Z graph_breaks gmean=0.00x mean=6.833x 2025-12-04T13:32:55.2253816Z unique_graph_breaks gmean=0.00x mean=4.500x 2025-12-04T13:32:55.2257832Z autograd_captures gmean=0.00x mean=0.000x 2025-12-04T13:32:55.2262296Z autograd_compiles gmean=0.00x mean=0.000x 2025-12-04T13:32:55.2266967Z cudagraph_skips gmean=0.00x mean=0.333x 2025-12-04T13:32:55.2267878Z compilation_latency mean=41.052 seconds 2025-12-04T13:32:55.9463144Z + python benchmarks/dynamo/check_accuracy.py --actual /var/lib/jenkins/workspace/test/test-reports/training_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/dynamic_inductor_torchbench_training.csv 2025-12-04T13:32:56.2884548Z llava XFAIL 2025-12-04T13:32:56.2889108Z maml_omniglot PASS 2025-12-04T13:32:56.2893244Z microbench_unbacked_tolist_sum PASS 2025-12-04T13:32:56.2898231Z mnasnet1_0 PASS 2025-12-04T13:32:56.2903200Z mobilenet_v2 PASS 2025-12-04T13:32:56.2908368Z mobilenet_v2_quantized_qat XFAIL 2025-12-04T13:32:56.2913288Z mobilenet_v3_large PASS 2025-12-04T13:32:56.2918124Z moco PASS 2025-12-04T13:32:56.2923184Z nanogpt PASS 2025-12-04T13:32:56.2929068Z nvidia_deeprecommender PASS 2025-12-04T13:32:56.2934040Z opacus_cifar10 XFAIL 2025-12-04T13:32:56.2938779Z phlippe_densenet PASS 2025-12-04T13:32:56.2943759Z phlippe_resnet PASS 2025-12-04T13:32:56.2948683Z pytorch_CycleGAN_and_pix2pix PASS 2025-12-04T13:32:56.2953580Z pytorch_stargan PASS 2025-12-04T13:32:56.2958547Z pytorch_unet XFAIL 2025-12-04T13:32:56.2963336Z resnet152 PASS 2025-12-04T13:32:56.2968257Z resnet18 PASS 2025-12-04T13:32:56.2973113Z resnet50 PASS 2025-12-04T13:32:56.2978065Z resnet50_quantized_qat XFAIL 2025-12-04T13:32:56.2983409Z resnext50_32x4d PASS 2025-12-04T13:32:56.2988106Z sam XFAIL 2025-12-04T13:32:56.2993246Z shufflenet_v2_x1_0 PASS 2025-12-04T13:32:56.2997972Z soft_actor_critic PASS 2025-12-04T13:32:56.3002882Z squeezenet1_1 PASS 2025-12-04T13:32:56.3007839Z torch_multimodal_clip PASS 2025-12-04T13:32:56.3012736Z tts_angular PASS 2025-12-04T13:32:56.3017628Z vgg16 PASS 2025-12-04T13:32:56.3022701Z vision_maskrcnn FAIL_BUT_FLAKY: accuracy=fail_to_run, expected=pass 2025-12-04T13:32:56.3028101Z yolov3 PASS 2025-12-04T13:32:56.3553481Z + python benchmarks/dynamo/check_graph_breaks.py --actual /var/lib/jenkins/workspace/test/test-reports/training_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/dynamic_inductor_torchbench_training.csv 2025-12-04T13:32:56.6965271Z llava PASS 2025-12-04T13:32:56.6971037Z maml_omniglot PASS 2025-12-04T13:32:56.6975049Z microbench_unbacked_tolist_sum PASS 2025-12-04T13:32:56.6980068Z mnasnet1_0 PASS 2025-12-04T13:32:56.6985049Z mobilenet_v2 PASS 2025-12-04T13:32:56.6990048Z mobilenet_v2_quantized_qat PASS 2025-12-04T13:32:56.6995202Z mobilenet_v3_large PASS 2025-12-04T13:32:56.7000208Z moco PASS 2025-12-04T13:32:56.7005449Z nanogpt PASS 2025-12-04T13:32:56.7010343Z nvidia_deeprecommender PASS 2025-12-04T13:32:56.7015409Z opacus_cifar10 PASS 2025-12-04T13:32:56.7020342Z phlippe_densenet PASS 2025-12-04T13:32:56.7025637Z phlippe_resnet PASS 2025-12-04T13:32:56.7030892Z pytorch_CycleGAN_and_pix2pix PASS 2025-12-04T13:32:56.7035827Z pytorch_stargan PASS 2025-12-04T13:32:56.7040690Z pytorch_unet PASS 2025-12-04T13:32:56.7045650Z resnet152 PASS 2025-12-04T13:32:56.7050612Z resnet18 PASS 2025-12-04T13:32:56.7055614Z resnet50 PASS 2025-12-04T13:32:56.7060520Z resnet50_quantized_qat PASS 2025-12-04T13:32:56.7065863Z resnext50_32x4d PASS 2025-12-04T13:32:56.7070677Z sam PASS 2025-12-04T13:32:56.7075869Z shufflenet_v2_x1_0 PASS 2025-12-04T13:32:56.7080515Z soft_actor_critic PASS 2025-12-04T13:32:56.7085543Z squeezenet1_1 PASS 2025-12-04T13:32:56.7090395Z torch_multimodal_clip PASS 2025-12-04T13:32:56.7095481Z tts_angular PASS 2025-12-04T13:32:56.7100398Z vgg16 PASS 2025-12-04T13:32:56.7106077Z vision_maskrcnn PASS 2025-12-04T13:32:56.7111057Z yolov3 PASS_BUT_FLAKY 2025-12-04T13:32:56.7739123Z + sccache_epilogue 2025-12-04T13:32:56.7739433Z + echo '::group::Sccache Compilation Log' 2025-12-04T13:32:56.7739994Z ##[group]Sccache Compilation Log 2025-12-04T13:32:56.7740341Z + echo '=================== sccache compilation log ===================' 2025-12-04T13:32:56.7740720Z =================== sccache compilation log =================== 2025-12-04T13:32:56.7744834Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-12-04T13:32:56.8321111Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-12-04T13:32:56.8321768Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-12-04T13:32:56.8322213Z + sccache --show-stats 2025-12-04T13:32:56.8381485Z Compile requests 48 2025-12-04T13:32:56.8381927Z Compile requests executed 0 2025-12-04T13:32:56.8382221Z Cache hits 0 2025-12-04T13:32:56.8382760Z Cache misses 0 2025-12-04T13:32:56.8383058Z Cache hits rate - 2025-12-04T13:32:56.8383343Z Cache timeouts 0 2025-12-04T13:32:56.8383620Z Cache read errors 0 2025-12-04T13:32:56.8383904Z Forced recaches 0 2025-12-04T13:32:56.8384189Z Cache write errors 0 2025-12-04T13:32:56.8384508Z Cache errors 0 2025-12-04T13:32:56.8384924Z Compilations 0 2025-12-04T13:32:56.8385309Z Compilation failures 0 2025-12-04T13:32:56.8385612Z Non-cacheable compilations 0 2025-12-04T13:32:56.8385905Z Non-cacheable calls 5 2025-12-04T13:32:56.8386203Z Non-compilation calls 43 2025-12-04T13:32:56.8386508Z Unsupported compiler calls 0 2025-12-04T13:32:56.8386803Z Average cache write 0.000 s 2025-12-04T13:32:56.8387113Z Average compiler 0.000 s 2025-12-04T13:32:56.8387413Z Average cache read hit 0.000 s 2025-12-04T13:32:56.8387716Z Failed distributed compilations 0 2025-12-04T13:32:56.8387926Z 2025-12-04T13:32:56.8388020Z Non-cacheable reasons: 2025-12-04T13:32:56.8388265Z -E 5 2025-12-04T13:32:56.8388454Z 2025-12-04T13:32:56.8388682Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T13:32:56.8389281Z Version (client) 0.10.0 2025-12-04T13:32:56.8389575Z + sccache --stop-server 2025-12-04T13:32:56.8407392Z Stopping sccache server... 2025-12-04T13:32:56.8411158Z Compile requests 48 2025-12-04T13:32:56.8411528Z Compile requests executed 0 2025-12-04T13:32:56.8411821Z Cache hits 0 2025-12-04T13:32:56.8412151Z Cache misses 0 2025-12-04T13:32:56.8412444Z Cache hits rate - 2025-12-04T13:32:56.8412740Z Cache timeouts 0 2025-12-04T13:32:56.8413172Z Cache read errors 0 2025-12-04T13:32:56.8413456Z Forced recaches 0 2025-12-04T13:32:56.8413754Z Cache write errors 0 2025-12-04T13:32:56.8414046Z Cache errors 0 2025-12-04T13:32:56.8414330Z Compilations 0 2025-12-04T13:32:56.8414631Z Compilation failures 0 2025-12-04T13:32:56.8414949Z Non-cacheable compilations 0 2025-12-04T13:32:56.8415254Z Non-cacheable calls 5 2025-12-04T13:32:56.8415551Z Non-compilation calls 43 2025-12-04T13:32:56.8415859Z Unsupported compiler calls 0 2025-12-04T13:32:56.8416164Z Average cache write 0.000 s 2025-12-04T13:32:56.8416484Z Average compiler 0.000 s 2025-12-04T13:32:56.8416844Z Average cache read hit 0.000 s 2025-12-04T13:32:56.8417412Z Failed distributed compilations 0 2025-12-04T13:32:56.8417925Z 2025-12-04T13:32:56.8418083Z Non-cacheable reasons: 2025-12-04T13:32:56.8428268Z -E 5 2025-12-04T13:32:56.8428482Z 2025-12-04T13:32:56.8428718Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-12-04T13:32:56.8429136Z Version (client) 0.10.0 2025-12-04T13:32:56.8429446Z + echo ::endgroup:: 2025-12-04T13:32:56.8429891Z ##[endgroup] 2025-12-04T13:32:56.8430111Z + cleanup_workspace 2025-12-04T13:32:56.8430554Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-12-04T13:32:56.8431262Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-12-04T13:32:56.8431840Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-12-04T13:32:56.8432264Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-12-04T13:32:56.8432919Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-12-04T13:32:56.8433468Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-12-04T13:32:56.8433896Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-12-04T13:32:57.9256234Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-12-04T13:32:57.9256672Z with: 2025-12-04T13:32:57.9256906Z benchmark-results-dir: test/test-reports 2025-12-04T13:32:57.9257221Z dry-run: false 2025-12-04T13:32:57.9257432Z schema-version: v3 2025-12-04T13:32:57.9257839Z github-token: *** 2025-12-04T13:32:57.9258048Z env: 2025-12-04T13:32:57.9258239Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:32:57.9258485Z HAS_NVIDIA_GPU: true 2025-12-04T13:32:57.9258784Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:32:57.9259282Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:32:57.9259731Z ##[endgroup] 2025-12-04T13:32:57.9277471Z ##[group]Run set -eux 2025-12-04T13:32:57.9277747Z set -eux 2025-12-04T13:32:57.9277966Z  2025-12-04T13:32:57.9278186Z if [[ -n "" ]]; then 2025-12-04T13:32:57.9278457Z  source "" 2025-12-04T13:32:57.9278715Z fi 2025-12-04T13:32:57.9279037Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T13:32:57.9279422Z  2025-12-04T13:32:57.9279629Z DEVICE_NAME="" 2025-12-04T13:32:57.9280049Z DEVICE_TYPE="" 2025-12-04T13:32:57.9280276Z  2025-12-04T13:32:57.9280500Z if command -v nvidia-smi; then 2025-12-04T13:32:57.9280918Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-12-04T13:32:57.9281452Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-12-04T13:32:57.9281982Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-12-04T13:32:57.9282383Z  python3 -mpip install torch==2.7.1 2025-12-04T13:32:57.9282715Z elif command -v rocminfo; then 2025-12-04T13:32:57.9283124Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-12-04T13:32:57.9283637Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-12-04T13:32:57.9284161Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-12-04T13:32:57.9284611Z  # GPU device name coming from rocminfo instead 2025-12-04T13:32:57.9284969Z  DEVICE_NAME=rocm 2025-12-04T13:32:57.9285419Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-12-04T13:32:57.9285888Z fi 2025-12-04T13:32:57.9286092Z  2025-12-04T13:32:57.9286363Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-12-04T13:32:57.9286751Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-12-04T13:32:57.9301894Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T13:32:57.9302275Z env: 2025-12-04T13:32:57.9302520Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:32:57.9302793Z HAS_NVIDIA_GPU: true 2025-12-04T13:32:57.9303122Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:32:57.9303651Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:32:57.9304122Z ##[endgroup] 2025-12-04T13:32:57.9345605Z + [[ -n '' ]] 2025-12-04T13:32:57.9346372Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-12-04T13:32:58.1890801Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T13:32:59.4483673Z Collecting boto3==1.35.33 2025-12-04T13:32:59.4679691Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-12-04T13:32:59.8417804Z Collecting psutil==7.0.0 2025-12-04T13:32:59.8464278Z 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) 2025-12-04T13:32:59.8795869Z Collecting pynvml==12.0.0 2025-12-04T13:32:59.8834817Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-12-04T13:32:59.9359875Z Collecting s3transfer<0.11.0,>=0.10.0 2025-12-04T13:32:59.9399136Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-12-04T13:33:01.2813439Z Collecting botocore<1.36.0,>=1.35.33 2025-12-04T13:33:01.2855596Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-12-04T13:33:01.4444494Z 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) 2025-12-04T13:33:01.4918617Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-12-04T13:33:01.4958753Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-12-04T13:33:01.5057184Z 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) 2025-12-04T13:33:01.5062617Z 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) 2025-12-04T13:33:01.6852988Z 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) 2025-12-04T13:33:01.8246965Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-12-04T13:33:02.3979981Z Attempting uninstall: nvidia-ml-py 2025-12-04T13:33:02.3981340Z Found existing installation: nvidia-ml-py 11.525.84 2025-12-04T13:33:02.3996097Z Uninstalling nvidia-ml-py-11.525.84: 2025-12-04T13:33:02.4253017Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-12-04T13:33:02.4869214Z Attempting uninstall: psutil 2025-12-04T13:33:02.4870050Z Found existing installation: psutil 5.9.8 2025-12-04T13:33:02.4958365Z Uninstalling psutil-5.9.8: 2025-12-04T13:33:02.4965671Z Successfully uninstalled psutil-5.9.8 2025-12-04T13:33:02.6676079Z 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 2025-12-04T13:33:02.7985227Z + DEVICE_NAME= 2025-12-04T13:33:02.7985523Z + DEVICE_TYPE= 2025-12-04T13:33:02.7985939Z + command -v nvidia-smi 2025-12-04T13:33:02.7986213Z /usr/bin/nvidia-smi 2025-12-04T13:33:02.7986465Z + python3 -mpip install torch==2.7.1 2025-12-04T13:33:03.0360105Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T13:33:03.3387243Z Collecting torch==2.7.1 2025-12-04T13:33:03.3573194Z Downloading torch-2.7.1-cp39-cp39-manylinux_2_28_x86_64.whl (821.1 MB) 2025-12-04T13:33:15.3025837Z Collecting filelock 2025-12-04T13:33:15.3063185Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-12-04T13:33:15.3288466Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-12-04T13:33:15.3373155Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-12-04T13:33:16.8832007Z Collecting networkx 2025-12-04T13:33:16.8868290Z Downloading networkx-3.2.1-py3-none-any.whl (1.6 MB) 2025-12-04T13:33:16.9362085Z Collecting nvidia-nccl-cu12==2.26.2 2025-12-04T13:33:16.9442175Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-12-04T13:33:19.1906764Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-12-04T13:33:19.1972757Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-12-04T13:33:27.1076274Z Collecting nvidia-nvtx-cu12==12.6.77 2025-12-04T13:33:27.1118266Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-12-04T13:33:27.1492653Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-12-04T13:33:27.1572042Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-12-04T13:33:29.3401342Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-12-04T13:33:29.3459660Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-12-04T13:33:30.8353352Z 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) 2025-12-04T13:33:30.9035980Z Collecting fsspec 2025-12-04T13:33:30.9071753Z Downloading fsspec-2025.10.0-py3-none-any.whl (200 kB) 2025-12-04T13:33:30.9425248Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-12-04T13:33:30.9495616Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-12-04T13:33:33.3212103Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-12-04T13:33:33.3280558Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-12-04T13:33:33.3731035Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-12-04T13:33:33.3802831Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-12-04T13:33:33.6065629Z Collecting sympy>=1.13.3 2025-12-04T13:33:33.6109976Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-12-04T13:33:33.7099220Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-12-04T13:33:33.7155727Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-12-04T13:33:33.7743002Z Collecting triton==3.3.1 2025-12-04T13:33:33.7815444Z Downloading triton-3.3.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-12-04T13:33:35.3460050Z Collecting nvidia-curand-cu12==10.3.7.77 2025-12-04T13:33:35.3529365Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-12-04T13:33:35.8902524Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-12-04T13:33:35.8964125Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-12-04T13:33:36.1590625Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-12-04T13:33:36.1676682Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-12-04T13:33:41.3622228Z Requirement already satisfied: jinja2 in /usr/lib/python3.9/site-packages (from torch==2.7.1) (2.11.3) 2025-12-04T13:33:41.3958321Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-12-04T13:33:41.4017951Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-12-04T13:33:41.4999368Z 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) 2025-12-04T13:33:41.5324246Z Collecting mpmath<1.4,>=1.1.0 2025-12-04T13:33:41.5355394Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-12-04T13:33:41.6322823Z Requirement already satisfied: MarkupSafe>=0.23 in /usr/lib64/python3.9/site-packages (from jinja2->torch==2.7.1) (1.1.1) 2025-12-04T13:33:41.9897438Z 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 2025-12-04T13:33:51.3636435Z WARNING: The scripts proton and proton-viewer are installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T13:33:51.3637258Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T13:33:55.4839424Z WARNING: The script isympy is installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T13:33:55.4840172Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T13:34:27.0117962Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-12-04T13:34:27.0118813Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-12-04T13:34:27.1984283Z 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 2025-12-04T13:34:27.8971997Z + echo DEVICE_NAME= 2025-12-04T13:34:27.8972489Z + echo DEVICE_TYPE= 2025-12-04T13:34:27.9026535Z ##[group]Run set -eux 2025-12-04T13:34:27.9026809Z set -eux 2025-12-04T13:34:27.9027029Z  2025-12-04T13:34:27.9027255Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-12-04T13:34:27.9027587Z  echo "Missing github-token input" 2025-12-04T13:34:27.9027884Z  exit 1 2025-12-04T13:34:27.9028099Z fi 2025-12-04T13:34:27.9040613Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T13:34:27.9041011Z env: 2025-12-04T13:34:27.9041232Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:27.9041487Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:27.9041789Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:27.9042295Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:27.9042987Z DEVICE_NAME: 2025-12-04T13:34:27.9043207Z DEVICE_TYPE: 2025-12-04T13:34:27.9043612Z GITHUB_TOKEN: *** 2025-12-04T13:34:27.9043845Z ##[endgroup] 2025-12-04T13:34:27.9077409Z + [[ -z *** ]] 2025-12-04T13:34:27.9140607Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-12-04T13:34:27.9141112Z with: 2025-12-04T13:34:27.9141508Z github-token: *** 2025-12-04T13:34:27.9141728Z env: 2025-12-04T13:34:27.9141936Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:27.9142195Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:27.9142494Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:27.9143000Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:27.9143463Z DEVICE_NAME: 2025-12-04T13:34:27.9143667Z DEVICE_TYPE: 2025-12-04T13:34:27.9143874Z ##[endgroup] 2025-12-04T13:34:27.9231981Z ##[group]Run set -eux 2025-12-04T13:34:27.9232236Z set -eux 2025-12-04T13:34:27.9232449Z  2025-12-04T13:34:27.9232957Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T13:34:27.9242233Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T13:34:27.9242604Z env: 2025-12-04T13:34:27.9242844Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:27.9243098Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:27.9243393Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:27.9243896Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:27.9244355Z DEVICE_NAME: 2025-12-04T13:34:27.9244571Z DEVICE_TYPE: 2025-12-04T13:34:27.9244913Z GITHUB_TOKEN: *** 2025-12-04T13:34:27.9245137Z ##[endgroup] 2025-12-04T13:34:27.9279007Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19923066595 i-031925788cb327f24 2025-12-04T13:34:32.6734578Z setting job-id=57134750733 2025-12-04T13:34:32.6735620Z setting job-name=periodic-dynamo-benchmarks-test-cuda13 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-12-04T13:34:32.6876455Z ##[group]Run set -eux 2025-12-04T13:34:32.6876721Z set -eux 2025-12-04T13:34:32.6876924Z  2025-12-04T13:34:32.6877128Z if [[ -n "" ]]; then 2025-12-04T13:34:32.6877383Z  source "" 2025-12-04T13:34:32.6877606Z fi 2025-12-04T13:34:32.6877811Z  2025-12-04T13:34:32.6878174Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-12-04T13:34:32.6878651Z  --schema-version "${SCHEMA_VERSION}" \ 2025-12-04T13:34:32.6878969Z  --repo "${REPO}" \ 2025-12-04T13:34:32.6879445Z  --head-branch "${HEAD_BRANCH}" \ 2025-12-04T13:34:32.6879763Z  --head-sha "${HEAD_SHA}" \ 2025-12-04T13:34:32.6880078Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-12-04T13:34:32.6880419Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-12-04T13:34:32.6880740Z  --job-id "${JOB_ID}" \ 2025-12-04T13:34:32.6881028Z  --job-name "${JOB_NAME}" 2025-12-04T13:34:32.6890792Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T13:34:32.6891138Z env: 2025-12-04T13:34:32.6891346Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:32.6891592Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:32.6891903Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:32.6892412Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:32.6892856Z DEVICE_NAME: 2025-12-04T13:34:32.6893081Z DEVICE_TYPE: 2025-12-04T13:34:32.6893313Z SCHEMA_VERSION: v3 2025-12-04T13:34:32.6893566Z REPO: pytorch/pytorch 2025-12-04T13:34:32.6893836Z HEAD_BRANCH: refs/heads/main 2025-12-04T13:34:32.6894160Z HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T13:34:32.6894499Z WORKFLOW_RUN_ID: 19923066595 2025-12-04T13:34:32.6894925Z RUN_ATTEMPT: 1 2025-12-04T13:34:32.6895153Z JOB_ID: 57134750733 2025-12-04T13:34:32.6895721Z JOB_NAME: periodic-dynamo-benchmarks-test-cuda13 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-12-04T13:34:32.6896309Z ##[endgroup] 2025-12-04T13:34:32.6928289Z + [[ -n '' ]] 2025-12-04T13:34:32.6939394Z + 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 19923066595 --run-attempt 1 --job-id 57134750733 --job-name 'periodic-dynamo-benchmarks-test-cuda13 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)' 2025-12-04T13:34:32.7360251Z ##[group]Run set -eux 2025-12-04T13:34:32.7360513Z set -eux 2025-12-04T13:34:32.7360737Z  2025-12-04T13:34:32.7360952Z if [[ -n "" ]]; then 2025-12-04T13:34:32.7361214Z  source "" 2025-12-04T13:34:32.7361445Z fi 2025-12-04T13:34:32.7361658Z  2025-12-04T13:34:32.7362022Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-12-04T13:34:32.7370447Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T13:34:32.7370806Z env: 2025-12-04T13:34:32.7371012Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:32.7371276Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:32.7371587Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:32.7372089Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:32.7372546Z DEVICE_NAME: 2025-12-04T13:34:32.7372780Z DEVICE_TYPE: 2025-12-04T13:34:32.7373015Z ##[endgroup] 2025-12-04T13:34:32.7402595Z + [[ -n '' ]] 2025-12-04T13:34:32.7403340Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-12-04T13:34:33.7432554Z /home/ec2-user/.local/lib/python3.9/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-12-04T13:34:33.7434320Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-12-04T13:34:34.7726642Z ##[group]Run set -eux 2025-12-04T13:34:34.7726912Z set -eux 2025-12-04T13:34:34.7727134Z  2025-12-04T13:34:34.7727379Z # TODO (huydhn): Implement this part 2025-12-04T13:34:34.7727739Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-12-04T13:34:34.7736794Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T13:34:34.7737318Z env: 2025-12-04T13:34:34.7737527Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:34.7737795Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:34.7738099Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:34.7738621Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:34.7739075Z DEVICE_NAME: 2025-12-04T13:34:34.7739304Z DEVICE_TYPE: 2025-12-04T13:34:34.7739520Z ##[endgroup] 2025-12-04T13:34:34.7771637Z + echo 'dependencies={}' 2025-12-04T13:34:34.7799625Z ##[group]Run set -eux 2025-12-04T13:34:34.7799887Z set -eux 2025-12-04T13:34:34.7800113Z  2025-12-04T13:34:34.7800318Z if [[ -n "" ]]; then 2025-12-04T13:34:34.7800586Z  source "" 2025-12-04T13:34:34.7800821Z fi 2025-12-04T13:34:34.7801020Z  2025-12-04T13:34:34.7801276Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-12-04T13:34:34.7801698Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-12-04T13:34:34.7802166Z  # We don't want the job to fail if the directory doesn't exist 2025-12-04T13:34:34.7802530Z  exit 0 2025-12-04T13:34:34.7802753Z fi 2025-12-04T13:34:34.7803115Z  2025-12-04T13:34:34.7803328Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-12-04T13:34:34.7803771Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T13:34:34.7804287Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T13:34:34.7804690Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T13:34:34.7805016Z  --runners "${RUNNER_INFO}" \ 2025-12-04T13:34:34.7805343Z  --dependencies "${DEPENDENCIES}" \ 2025-12-04T13:34:34.7805656Z  --dry-run 2025-12-04T13:34:34.7805887Z else 2025-12-04T13:34:34.7806246Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-12-04T13:34:34.7806758Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-12-04T13:34:34.7807152Z  --metadata "${BENCHMARK_METADATA}" \ 2025-12-04T13:34:34.7807476Z  --runners "${RUNNER_INFO}" \ 2025-12-04T13:34:34.7807808Z  --dependencies "${DEPENDENCIES}" 2025-12-04T13:34:34.7808109Z fi 2025-12-04T13:34:34.7816146Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T13:34:34.7816494Z env: 2025-12-04T13:34:34.7816703Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:34.7816952Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:34.7817252Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:34.7817755Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:34.7818195Z DEVICE_NAME: 2025-12-04T13:34:34.7818401Z DEVICE_TYPE: 2025-12-04T13:34:34.7818646Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-12-04T13:34:34.7818938Z DRY_RUN: false 2025-12-04T13:34:34.7820262Z BENCHMARK_METADATA: {"timestamp": 1764855272, "schema_version": "v3", "name": "periodic-dynamo-benchmarks-test-cuda13 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19923066595, "run_attempt": 1, "job_id": 57134750733} 2025-12-04T13:34:34.7822181Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 62, "extra_info": {"hostname": "ip-10-0-70-78.ec2.internal"}, "name": "cuda", "type": "NVIDIA A10G", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}] 2025-12-04T13:34:34.7822895Z DEPENDENCIES: {} 2025-12-04T13:34:34.7823117Z ##[endgroup] 2025-12-04T13:34:34.7850882Z + [[ -n '' ]] 2025-12-04T13:34:34.7851266Z + [[ ! -d test/test-reports ]] 2025-12-04T13:34:34.7851563Z + [[ false == \t\r\u\e ]] 2025-12-04T13:34:34.7854506Z + 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": 1764855272, "schema_version": "v3", "name": "periodic-dynamo-benchmarks-test-cuda13 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19923066595, "run_attempt": 1, "job_id": 57134750733}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 62, "extra_info": {"hostname": "ip-10-0-70-78.ec2.internal"}, "name": "cuda", "type": "NVIDIA A10G", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}]' --dependencies '{}' 2025-12-04T13:34:35.1631125Z INFO:root:Upload test/test-reports/inference_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19923066595/57134750733/inference_torchbench.json 2025-12-04T13:34:35.2053194Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-12-04T13:34:35.4281300Z INFO:root:Upload test/test-reports/training_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19923066595/57134750733/training_torchbench.json 2025-12-04T13:34:35.5709785Z ##[group]Run cat test/**/*_toprint.log || true 2025-12-04T13:34:35.5710336Z cat test/**/*_toprint.log || true 2025-12-04T13:34:35.5719319Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T13:34:35.5719658Z env: 2025-12-04T13:34:35.5719866Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:35.5720118Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:35.5720411Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:35.5720914Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:35.5721358Z DEVICE_NAME: 2025-12-04T13:34:35.5721576Z DEVICE_TYPE: 2025-12-04T13:34:35.5721782Z ##[endgroup] 2025-12-04T13:34:35.5833016Z cat: 'test/**/*_toprint.log': No such file or directory 2025-12-04T13:34:35.5896341Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-12-04T13:34:35.5896682Z kill "$MONITOR_SCRIPT_PID" 2025-12-04T13:34:35.5905079Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T13:34:35.5905430Z env: 2025-12-04T13:34:35.5905660Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:35.5905920Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:35.5906235Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:35.5906756Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:35.5907254Z DEVICE_NAME: 2025-12-04T13:34:35.5907573Z DEVICE_TYPE: 2025-12-04T13:34:35.5907866Z MONITOR_SCRIPT_PID: 59748 2025-12-04T13:34:35.5917689Z ##[endgroup] 2025-12-04T13:34:35.5949880Z /home/ec2-user/actions-runner/_work/_temp/29bc5053-060a-45d0-bad3-e1d42b64fea4.sh: line 1: kill: (59748) - No such process 2025-12-04T13:34:35.5962746Z ##[error]Process completed with exit code 1. 2025-12-04T13:34:35.6133117Z Prepare all required actions 2025-12-04T13:34:35.6133515Z Getting action download info 2025-12-04T13:34:35.7908481Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T13:34:36.4503799Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-12-04T13:34:38.6496799Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-12-04T13:34:38.6497123Z with: 2025-12-04T13:34:38.6497548Z file-suffix: test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_57134750733 2025-12-04T13:34:38.6498059Z s3-bucket: gha-artifacts 2025-12-04T13:34:38.6498317Z env: 2025-12-04T13:34:38.6498514Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:38.6498755Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:38.6499066Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:38.6499612Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:38.6500057Z DEVICE_NAME: 2025-12-04T13:34:38.6500274Z DEVICE_TYPE: 2025-12-04T13:34:38.6500480Z ##[endgroup] 2025-12-04T13:34:38.6617955Z ##[group]Run # Remove any previous test jsons if they exist 2025-12-04T13:34:38.6618367Z # Remove any previous test jsons if they exist 2025-12-04T13:34:38.6618712Z rm -f test-jsons-*.zip 2025-12-04T13:34:38.6619120Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-12-04T13:34:38.6628881Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T13:34:38.6629265Z env: 2025-12-04T13:34:38.6629502Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:38.6629787Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:38.6630074Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:38.6630569Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:38.6631007Z DEVICE_NAME: 2025-12-04T13:34:38.6631211Z DEVICE_TYPE: 2025-12-04T13:34:38.6631622Z FILE_SUFFIX: test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_57134750733 2025-12-04T13:34:38.6632087Z ##[endgroup] 2025-12-04T13:34:38.7560870Z adding: test/test-reports/inference_torchbench.json (deflated 99%) 2025-12-04T13:34:38.7600055Z adding: test/test-reports/training_torchbench.json (deflated 99%) 2025-12-04T13:34:38.7659314Z ##[group]Run # Remove any previous test reports if they exist 2025-12-04T13:34:38.7659764Z # Remove any previous test reports if they exist 2025-12-04T13:34:38.7660145Z rm -f test-reports-*.zip 2025-12-04T13:34:38.7660588Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-12-04T13:34:38.7669835Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T13:34:38.7670180Z env: 2025-12-04T13:34:38.7670441Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:38.7670795Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:38.7671160Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:38.7671994Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:38.7672519Z DEVICE_NAME: 2025-12-04T13:34:38.7672827Z DEVICE_TYPE: 2025-12-04T13:34:38.7673434Z FILE_SUFFIX: test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_57134750733 2025-12-04T13:34:38.7674034Z ##[endgroup] 2025-12-04T13:34:38.7794749Z adding: test/test-reports/inference_torchbench.csv (deflated 61%) 2025-12-04T13:34:38.7798688Z adding: test/test-reports/inference_torchbench_graph_breaks.csv (deflated 93%) 2025-12-04T13:34:38.7800096Z adding: test/test-reports/inference_torchbench_graph_break_deduped.csv (deflated 78%) 2025-12-04T13:34:38.7800889Z adding: test/test-reports/training_torchbench.csv (deflated 59%) 2025-12-04T13:34:38.7813121Z adding: test/test-reports/training_torchbench_graph_breaks.csv (deflated 97%) 2025-12-04T13:34:38.7815582Z adding: test/test-reports/training_torchbench_graph_break_deduped.csv (deflated 81%) 2025-12-04T13:34:38.7848053Z ##[group]Run # Remove any previous usage logs if they exist 2025-12-04T13:34:38.7848503Z # Remove any previous usage logs if they exist 2025-12-04T13:34:38.7848844Z rm -f logs-*.zip 2025-12-04T13:34:38.7849181Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-12-04T13:34:38.7849664Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-12-04T13:34:38.7858562Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T13:34:38.7858998Z env: 2025-12-04T13:34:38.7859303Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:38.7859647Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:38.7860076Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:38.7860805Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:38.7861551Z DEVICE_NAME: 2025-12-04T13:34:38.7861833Z DEVICE_TYPE: 2025-12-04T13:34:38.7862460Z FILE_SUFFIX: test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_57134750733 2025-12-04T13:34:38.7863133Z ##[endgroup] 2025-12-04T13:34:38.7922287Z adding: usage_log.txt (deflated 58%) 2025-12-04T13:34:38.7935539Z 2025-12-04T13:34:38.7936271Z zip error: Nothing to do! (logs-test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_57134750733.zip) 2025-12-04T13:34:38.7970751Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-12-04T13:34:38.7971422Z # Remove any previous debugging artifacts if they exist 2025-12-04T13:34:38.7971795Z rm -f debug-*.zip 2025-12-04T13:34:38.7972065Z if [ -d 'test/debug' ]; then 2025-12-04T13:34:38.7972412Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-12-04T13:34:38.7972730Z fi 2025-12-04T13:34:38.7981625Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T13:34:38.7981980Z env: 2025-12-04T13:34:38.7982183Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:38.7982439Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:38.7982752Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:38.7983250Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:38.7983705Z DEVICE_NAME: 2025-12-04T13:34:38.7983920Z DEVICE_TYPE: 2025-12-04T13:34:38.7984325Z FILE_SUFFIX: test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_57134750733 2025-12-04T13:34:38.7984983Z ##[endgroup] 2025-12-04T13:34:38.8121503Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T13:34:38.8121812Z with: 2025-12-04T13:34:38.8122023Z s3-bucket: gha-artifacts 2025-12-04T13:34:38.8122333Z s3-prefix: pytorch/pytorch/19923066595/1/artifact 2025-12-04T13:34:38.8122654Z retention-days: 14 2025-12-04T13:34:38.8122912Z if-no-files-found: warn 2025-12-04T13:34:38.8123178Z path: test-jsons-*.zip 2025-12-04T13:34:38.8123414Z name: artifact 2025-12-04T13:34:38.8123638Z region: us-east-1 2025-12-04T13:34:38.8123864Z env: 2025-12-04T13:34:38.8124078Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:38.8124337Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:38.8124651Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:38.8125172Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:38.8126121Z DEVICE_NAME: 2025-12-04T13:34:38.8126348Z DEVICE_TYPE: 2025-12-04T13:34:38.8126581Z ##[endgroup] 2025-12-04T13:34:39.3237539Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T13:34:39.3237959Z With the provided path, there will be 1 file uploaded 2025-12-04T13:34:39.3238375Z Uploading to s3 prefix: pytorch/pytorch/19923066595/1/artifact 2025-12-04T13:34:39.3311878Z Starting upload of test-jsons-test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_57134750733.zip 2025-12-04T13:34:39.4553938Z Finished upload of test-jsons-test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_57134750733.zip 2025-12-04T13:34:39.4850576Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T13:34:39.4861023Z with: 2025-12-04T13:34:39.4861342Z s3-bucket: gha-artifacts 2025-12-04T13:34:39.4861660Z s3-prefix: pytorch/pytorch/19923066595/1/artifact 2025-12-04T13:34:39.4861989Z retention-days: 14 2025-12-04T13:34:39.4862229Z if-no-files-found: error 2025-12-04T13:34:39.4862488Z path: test-reports-*.zip 2025-12-04T13:34:39.4862747Z name: artifact 2025-12-04T13:34:39.4862956Z region: us-east-1 2025-12-04T13:34:39.4863175Z env: 2025-12-04T13:34:39.4863377Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:39.4863618Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:39.4863918Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:39.4864424Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:39.4864870Z DEVICE_NAME: 2025-12-04T13:34:39.4865080Z DEVICE_TYPE: 2025-12-04T13:34:39.4865290Z ##[endgroup] 2025-12-04T13:34:40.0461694Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T13:34:40.0462130Z With the provided path, there will be 1 file uploaded 2025-12-04T13:34:40.0462564Z Uploading to s3 prefix: pytorch/pytorch/19923066595/1/artifact 2025-12-04T13:34:40.0536189Z Starting upload of test-reports-test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_57134750733.zip 2025-12-04T13:34:40.1691607Z Finished upload of test-reports-test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_57134750733.zip 2025-12-04T13:34:40.2010724Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T13:34:40.2011028Z with: 2025-12-04T13:34:40.2011239Z s3-bucket: gha-artifacts 2025-12-04T13:34:40.2011541Z s3-prefix: pytorch/pytorch/19923066595/1/artifact 2025-12-04T13:34:40.2011863Z retention-days: 14 2025-12-04T13:34:40.2012103Z if-no-files-found: ignore 2025-12-04T13:34:40.2012354Z path: logs-*.zip 2025-12-04T13:34:40.2012570Z name: artifact 2025-12-04T13:34:40.2012778Z region: us-east-1 2025-12-04T13:34:40.2013000Z env: 2025-12-04T13:34:40.2013207Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:40.2013472Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:40.2013780Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:40.2014285Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:40.2014731Z DEVICE_NAME: 2025-12-04T13:34:40.2014950Z DEVICE_TYPE: 2025-12-04T13:34:40.2015172Z ##[endgroup] 2025-12-04T13:34:40.5332317Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T13:34:40.5333113Z With the provided path, there will be 1 file uploaded 2025-12-04T13:34:40.5333951Z Uploading to s3 prefix: pytorch/pytorch/19923066595/1/artifact 2025-12-04T13:34:40.5406304Z Starting upload of logs-test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_57134750733.zip 2025-12-04T13:34:40.6609810Z Finished upload of logs-test-dynamic_inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_57134750733.zip 2025-12-04T13:34:40.6904997Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T13:34:40.6905341Z with: 2025-12-04T13:34:40.6905581Z s3-bucket: gha-artifacts 2025-12-04T13:34:40.6905916Z s3-prefix: pytorch/pytorch/19923066595/1/artifact 2025-12-04T13:34:40.6906279Z retention-days: 14 2025-12-04T13:34:40.6906542Z if-no-files-found: ignore 2025-12-04T13:34:40.6906823Z path: debug-*.zip 2025-12-04T13:34:40.6907054Z name: artifact 2025-12-04T13:34:40.6907290Z region: us-east-1 2025-12-04T13:34:40.6907536Z env: 2025-12-04T13:34:40.6907751Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:40.6908021Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:40.6908347Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:40.6908941Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:40.6909472Z DEVICE_NAME: 2025-12-04T13:34:40.6909708Z DEVICE_TYPE: 2025-12-04T13:34:40.6909936Z ##[endgroup] 2025-12-04T13:34:41.0298997Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-12-04T13:34:41.0606797Z ##[group]Run # shellcheck disable=SC2156 2025-12-04T13:34:41.0607152Z # shellcheck disable=SC2156 2025-12-04T13:34:41.0607683Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-12-04T13:34:41.0617096Z shell: /usr/bin/bash -e {0} 2025-12-04T13:34:41.0617355Z env: 2025-12-04T13:34:41.0617568Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:41.0617832Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:41.0618138Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:41.0618654Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:41.0619105Z DEVICE_NAME: 2025-12-04T13:34:41.0619320Z DEVICE_TYPE: 2025-12-04T13:34:41.0619538Z ##[endgroup] 2025-12-04T13:34:41.5348502Z Prepare all required actions 2025-12-04T13:34:41.5348861Z Getting action download info 2025-12-04T13:34:41.7205452Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548) 2025-12-04T13:34:42.9147082Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-12-04T13:34:42.9147417Z with: 2025-12-04T13:34:42.9147610Z job_id: 57134750733 2025-12-04T13:34:42.9148163Z job_name: periodic-dynamo-benchmarks-test-cuda13 / test (dynamic_inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-12-04T13:34:42.9148777Z workflow_name: inductor-periodic 2025-12-04T13:34:42.9149071Z workflow_run_id: 19923066595 2025-12-04T13:34:42.9149334Z workflow_attempt: 1 2025-12-04T13:34:42.9149563Z env: 2025-12-04T13:34:42.9149756Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:42.9150005Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:42.9150307Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:42.9150843Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:42.9151293Z DEVICE_NAME: 2025-12-04T13:34:42.9151510Z DEVICE_TYPE: 2025-12-04T13:34:42.9151731Z ##[endgroup] 2025-12-04T13:34:42.9199531Z ##[group]Run actions/setup-python@v6 2025-12-04T13:34:42.9199815Z with: 2025-12-04T13:34:42.9200026Z python-version: 3.10 2025-12-04T13:34:42.9200276Z check-latest: false 2025-12-04T13:34:42.9200639Z token: *** 2025-12-04T13:34:42.9200858Z update-environment: true 2025-12-04T13:34:42.9201134Z allow-prereleases: false 2025-12-04T13:34:42.9214360Z freethreaded: false 2025-12-04T13:34:42.9214824Z env: 2025-12-04T13:34:42.9215021Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:42.9215267Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:42.9215568Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:42.9216172Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:42.9216724Z DEVICE_NAME: 2025-12-04T13:34:42.9216997Z DEVICE_TYPE: 2025-12-04T13:34:42.9217254Z ##[endgroup] 2025-12-04T13:34:45.1750842Z ##[group]Installed versions 2025-12-04T13:34:45.1759553Z Version 3.10 was not found in the local cache 2025-12-04T13:34:45.2305278Z (node:120071) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T13:34:45.2306117Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T13:34:45.5775655Z ##[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 2025-12-04T13:34:45.6042536Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-12-04T13:34:45.6042944Z with: 2025-12-04T13:34:45.6043139Z env: 2025-12-04T13:34:45.6043342Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:45.6043595Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:45.6043902Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:45.6044413Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:45.6044881Z DEVICE_NAME: 2025-12-04T13:34:45.6045117Z DEVICE_TYPE: 2025-12-04T13:34:45.6045330Z ##[endgroup] 2025-12-04T13:34:45.6107089Z ##[group]Run set -eou pipefail 2025-12-04T13:34:45.6107450Z set -eou pipefail 2025-12-04T13:34:45.6107723Z  2025-12-04T13:34:45.6108080Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-12-04T13:34:45.6108513Z for _ in $(seq 1440); do 2025-12-04T13:34:45.6108883Z  # Break if no ssh session exists anymore 2025-12-04T13:34:45.6109209Z  if [ "$(who)" = "" ]; then 2025-12-04T13:34:45.6109495Z  break 2025-12-04T13:34:45.6109735Z  fi 2025-12-04T13:34:45.6123449Z  echo "." 2025-12-04T13:34:45.6123698Z  sleep 5 2025-12-04T13:34:45.6123922Z done 2025-12-04T13:34:45.6133170Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T13:34:45.6133518Z env: 2025-12-04T13:34:45.6133719Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:45.6133971Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:45.6134274Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:45.6134782Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:45.6135229Z DEVICE_NAME: 2025-12-04T13:34:45.6135445Z DEVICE_TYPE: 2025-12-04T13:34:45.6135655Z ##[endgroup] 2025-12-04T13:34:45.6167581Z Holding runner for 2 hours until all ssh sessions have logged out 2025-12-04T13:34:45.6334979Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T13:34:45.6335509Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T13:34:45.6335904Z # shellcheck disable=SC2046 2025-12-04T13:34:45.6336225Z docker stop $(docker ps -q) || true 2025-12-04T13:34:45.6336559Z # Prune all of the docker images 2025-12-04T13:34:45.6336864Z docker system prune -af 2025-12-04T13:34:45.6345948Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T13:34:45.6346305Z env: 2025-12-04T13:34:45.6346521Z GIT_DEFAULT_BRANCH: main 2025-12-04T13:34:45.6346768Z HAS_NVIDIA_GPU: true 2025-12-04T13:34:45.6347082Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T13:34:45.6347626Z DOCKER_CONTAINER_ID: 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:34:45.6348067Z DEVICE_NAME: 2025-12-04T13:34:45.6348474Z DEVICE_TYPE: 2025-12-04T13:34:45.6348689Z ##[endgroup] 2025-12-04T13:34:57.5478073Z 98700489873a 2025-12-04T13:35:01.8129695Z Deleted Containers: 2025-12-04T13:35:01.8130244Z 98700489873a4b456e9fb461641b03672e94f3ca071954bbdacc67671922c118 2025-12-04T13:35:01.8130654Z 2025-12-04T13:35:22.8923256Z Deleted Images: 2025-12-04T13:35:22.8924080Z untagged: public.ecr.aws/docker/library/python:3.13 2025-12-04T13:35:22.8926111Z untagged: public.ecr.aws/docker/library/python@sha256:3f986299a7b8b44b0d8cf9bda2b22361ce5c3058ef5d7cb17fb7452506680ab0 2025-12-04T13:35:22.8926959Z deleted: sha256:44438aecfedf7b6086fce506dae0db5ba7fc0027f9b743f1a75a6b5cbc7de70a 2025-12-04T13:35:22.8927563Z deleted: sha256:6f09a1f5d8a107c2532fbd116e75116cb75fa77b1a7d72d3bdf1ac12de152acd 2025-12-04T13:35:22.8928146Z deleted: sha256:fe5f3ac0be086125eb1e3cd10cc33e8e426f4e079381f7ce5a987b626e99fa67 2025-12-04T13:35:22.8928736Z deleted: sha256:79dd2061a22cf919cfc4f1f02704bfda09afadb017265e670ee54441d296c06c 2025-12-04T13:35:22.8929697Z deleted: 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