2025-10-10T01:39:41.4458843Z Current runner version: '2.328.0' 2025-10-10T01:39:41.4464415Z Runner name: 'i-0f168839050dd63cf' 2025-10-10T01:39:41.4465172Z Runner group name: 'default' 2025-10-10T01:39:41.4466006Z Machine name: 'ip-10-0-9-26' 2025-10-10T01:39:41.4468745Z ##[group]GITHUB_TOKEN Permissions 2025-10-10T01:39:41.4471035Z Contents: read 2025-10-10T01:39:41.4471563Z Metadata: read 2025-10-10T01:39:41.4472080Z ##[endgroup] 2025-10-10T01:39:41.4474008Z Secret source: Actions 2025-10-10T01:39:41.4474760Z Prepare workflow directory 2025-10-10T01:39:41.4970414Z Prepare all required actions 2025-10-10T01:39:41.5008197Z Getting action download info 2025-10-10T01:39:41.8426518Z Download action repository 'pytorch/test-infra@main' (SHA:264eed5d70b428e3aa5c1a7c98e4330f866e183f) 2025-10-10T01:39:44.0577856Z Download action repository 'pytorch/pytorch@main' (SHA:0747d95994600a5a5538da560801476abbb67342) 2025-10-10T01:39:59.8353660Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-10-10T01:40:00.1742751Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-10-10T01:40:00.4273602Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-10-10T01:40:00.6218173Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-10-10T01:40:00.8988270Z Getting action download info 2025-10-10T01:40:01.0372691Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-10-10T01:40:01.3362376Z Getting action download info 2025-10-10T01:40:01.4605328Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-10-10T01:40:01.6779877Z Getting action download info 2025-10-10T01:40:01.7855995Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-10-10T01:40:02.0118199Z Getting action download info 2025-10-10T01:40:02.1526438Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (344e6365a0068c2d2847fcec0c55dd53291d475e) 2025-10-10T01:40:02.1530436Z ##[group] Inputs 2025-10-10T01:40:02.1530821Z build-environment: linux-jammy-cuda12.8-py3.10-gcc9-sm86 2025-10-10T01:40:02.1532564Z test-matrix: {"include": [{"config": "inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]} 2025-10-10T01:40:02.1534808Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac 2025-10-10T01:40:02.1535717Z sync-tag: 2025-10-10T01:40:02.1536437Z timeout-minutes: 240 2025-10-10T01:40:02.1536684Z use-gha: 2025-10-10T01:40:02.1536907Z dashboard-tag: 2025-10-10T01:40:02.1537155Z s3-bucket: gha-artifacts 2025-10-10T01:40:02.1537420Z aws-role-to-assume: 2025-10-10T01:40:02.1537920Z disable-monitor: false 2025-10-10T01:40:02.1538227Z monitor-log-interval: 5 2025-10-10T01:40:02.1538532Z monitor-data-collect-interval: 1 2025-10-10T01:40:02.1538831Z ##[endgroup] 2025-10-10T01:40:02.1539235Z Complete job name: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-10-10T01:40:02.2145354Z A job started hook has been configured by the self-hosted runner administrator 2025-10-10T01:40:02.2245427Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-10-10T01:40:02.2256855Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:40:02.2257437Z ##[endgroup] 2025-10-10T01:40:03.7487400Z Runner Type: linux.g5.4xlarge.nvidia.gpu 2025-10-10T01:40:03.7487876Z Instance Type: g5.4xlarge 2025-10-10T01:40:03.7488127Z AMI Name: unknown 2025-10-10T01:40:03.7531229Z AMI ID: ami-08982f1c5bf93d976 2025-10-10T01:40:09.2792971Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-10-10T01:40:09.2793373Z with: 2025-10-10T01:40:09.2793887Z github-secret: *** 2025-10-10T01:40:09.2794535Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-10-10T01:40:09.2795321Z activate-with-label: false 2025-10-10T01:40:09.2795593Z label: with-ssh 2025-10-10T01:40:09.2795843Z remove-existing-keys: true 2025-10-10T01:40:09.2796109Z fail-silently: true 2025-10-10T01:40:09.2796356Z env: 2025-10-10T01:40:09.2796587Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:40:09.2796848Z ##[endgroup] 2025-10-10T01:40:09.4136809Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-10-10T01:40:09.4138261Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-10-10T01:40:09.4315625Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-10-10T01:40:09.4316047Z with: 2025-10-10T01:40:09.4316269Z no-sudo: true 2025-10-10T01:40:09.4316508Z submodules: recursive 2025-10-10T01:40:09.4316761Z fetch-depth: 0 2025-10-10T01:40:09.4316990Z env: 2025-10-10T01:40:09.4317208Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:40:09.4317460Z ##[endgroup] 2025-10-10T01:40:09.4391229Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-10-10T01:40:09.4392104Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-10-10T01:40:09.4406811Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:40:09.4407173Z env: 2025-10-10T01:40:09.4407433Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:40:09.4407731Z ##[endgroup] 2025-10-10T01:40:09.4501830Z ##[group]Run # Use all available CPUs for fetching 2025-10-10T01:40:09.4502249Z # Use all available CPUs for fetching 2025-10-10T01:40:09.4502867Z cd "${GITHUB_WORKSPACE}" 2025-10-10T01:40:09.4503197Z git config --global fetch.parallel 0 2025-10-10T01:40:09.4503574Z git config --global submodule.fetchJobs 0 2025-10-10T01:40:09.4503902Z  2025-10-10T01:40:09.4504251Z # Clean workspace. The default checkout action should also do this, but 2025-10-10T01:40:09.4504690Z # do it here as well just in case 2025-10-10T01:40:09.4505005Z if [[ -d .git ]]; then 2025-10-10T01:40:09.4505299Z  if [ -z "${NO_SUDO}" ]; then 2025-10-10T01:40:09.4505619Z  sudo git clean -ffdx 2025-10-10T01:40:09.4505889Z  else 2025-10-10T01:40:09.4506126Z  git clean -ffdx 2025-10-10T01:40:09.4506384Z  fi 2025-10-10T01:40:09.4506600Z fi 2025-10-10T01:40:09.4515628Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:40:09.4515989Z env: 2025-10-10T01:40:09.4516206Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:40:09.4516463Z NO_SUDO: true 2025-10-10T01:40:09.4516685Z ##[endgroup] 2025-10-10T01:40:09.4654026Z ##[group]Run actions/checkout@v4 2025-10-10T01:40:09.4654319Z with: 2025-10-10T01:40:09.4654573Z ref: 344e6365a0068c2d2847fcec0c55dd53291d475e 2025-10-10T01:40:09.4654890Z fetch-depth: 0 2025-10-10T01:40:09.4655135Z submodules: recursive 2025-10-10T01:40:09.4655399Z show-progress: false 2025-10-10T01:40:09.4655667Z repository: pytorch/pytorch 2025-10-10T01:40:09.4656038Z token: *** 2025-10-10T01:40:09.4656266Z ssh-strict: true 2025-10-10T01:40:09.4656756Z ssh-user: git 2025-10-10T01:40:09.4657006Z persist-credentials: true 2025-10-10T01:40:09.4657266Z clean: true 2025-10-10T01:40:09.4657517Z sparse-checkout-cone-mode: true 2025-10-10T01:40:09.4657870Z fetch-tags: false 2025-10-10T01:40:09.4658122Z lfs: false 2025-10-10T01:40:09.4658356Z set-safe-directory: true 2025-10-10T01:40:09.4658621Z env: 2025-10-10T01:40:09.4658842Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:40:09.4659103Z ##[endgroup] 2025-10-10T01:40:09.5803955Z Syncing repository: pytorch/pytorch 2025-10-10T01:40:09.5805209Z ##[group]Getting Git version info 2025-10-10T01:40:09.5805670Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-10-10T01:40:09.5806293Z [command]/usr/bin/git version 2025-10-10T01:40:09.5992605Z git version 2.50.1 2025-10-10T01:40:09.6024473Z ##[endgroup] 2025-10-10T01:40:09.6035083Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/9662159a-0279-4596-87a6-31c3ab203d5c/.gitconfig' 2025-10-10T01:40:09.6051121Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/9662159a-0279-4596-87a6-31c3ab203d5c' before making global git config changes 2025-10-10T01:40:09.6052005Z Adding repository directory to the temporary git global config as a safe directory 2025-10-10T01:40:09.6065876Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-10-10T01:40:09.6120089Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-10-10T01:40:09.6124742Z ##[group]Initializing the repository 2025-10-10T01:40:09.6131138Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-10-10T01:40:09.6208018Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-10-10T01:40:09.6208878Z hint: is subject to change. To configure the initial branch name to use in all 2025-10-10T01:40:09.6209729Z hint: of your new repositories, which will suppress this warning, call: 2025-10-10T01:40:09.6210277Z hint: 2025-10-10T01:40:09.6210647Z hint: git config --global init.defaultBranch 2025-10-10T01:40:09.6211092Z hint: 2025-10-10T01:40:09.6211434Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-10-10T01:40:09.6211977Z hint: 'development'. The just-created branch can be renamed via this command: 2025-10-10T01:40:09.6212389Z hint: 2025-10-10T01:40:09.6212616Z hint: git branch -m 2025-10-10T01:40:09.6212870Z hint: 2025-10-10T01:40:09.6213249Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-10-10T01:40:09.6216308Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-10-10T01:40:09.6229131Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-10-10T01:40:09.6278093Z ##[endgroup] 2025-10-10T01:40:09.6278776Z ##[group]Disabling automatic garbage collection 2025-10-10T01:40:09.6282718Z [command]/usr/bin/git config --local gc.auto 0 2025-10-10T01:40:09.6320289Z ##[endgroup] 2025-10-10T01:40:09.6320918Z ##[group]Setting up auth 2025-10-10T01:40:09.6327754Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-10-10T01:40:09.6364236Z [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' || :" 2025-10-10T01:40:09.6794245Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-10-10T01:40:09.6830345Z [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' || :" 2025-10-10T01:40:09.7244623Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-10-10T01:40:09.7301109Z ##[endgroup] 2025-10-10T01:40:09.7301770Z ##[group]Fetching the repository 2025-10-10T01:40:09.7319625Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-10-10T01:40:59.5407093Z From https://github.com/pytorch/pytorch 2025-10-10T01:40:59.5408040Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-10-10T01:40:59.5409575Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-10-10T01:40:59.5413710Z * [new branch] BootcampDynamo -> origin/BootcampDynamo 2025-10-10T01:40:59.5414369Z * [new branch] DynamoFixGit -> origin/DynamoFixGit 2025-10-10T01:40:59.5415018Z * [new branch] DynamoVariaT -> origin/DynamoVariaT 2025-10-10T01:40:59.5415715Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-10-10T01:40:59.5416305Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-10-10T01:40:59.5418358Z * [new branch] IvanKobzarev/stack/1 -> origin/IvanKobzarev/stack/1 2025-10-10T01:40:59.5420204Z * [new branch] IvanKobzarev/stack/2 -> origin/IvanKobzarev/stack/2 2025-10-10T01:40:59.5422590Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-10-10T01:40:59.5423849Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-10-10T01:40:59.5426102Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-10-10T01:40:59.5428022Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-10-10T01:40:59.5429739Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-10-10T01:40:59.5431754Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-10-10T01:40:59.5433667Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-10-10T01:40:59.5436386Z * [new branch] VLA_exp -> origin/VLA_exp 2025-10-10T01:40:59.5438320Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-10-10T01:40:59.5440165Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-10-10T01:40:59.5442195Z * [new branch] add_op_tests -> origin/add_op_tests 2025-10-10T01:40:59.5444074Z * [new branch] add_op_to_dashboard -> origin/add_op_to_dashboard 2025-10-10T01:40:59.5445955Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-10-10T01:40:59.5447873Z * [new branch] addremovefunction -> origin/addremovefunction 2025-10-10T01:40:59.5449741Z * [new branch] addvllmtest -> origin/addvllmtest 2025-10-10T01:40:59.5452452Z * [new branch] adi/test -> origin/adi/test 2025-10-10T01:40:59.5454277Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-10-10T01:40:59.5456086Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-10-10T01:40:59.5457888Z * [new branch] adi/test_onednn -> origin/adi/test_onednn 2025-10-10T01:40:59.5459930Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-10-10T01:40:59.5461605Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-10-10T01:40:59.5463401Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-10-10T01:40:59.5465571Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-10-10T01:40:59.5468853Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-10-10T01:40:59.5470799Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-10-10T01:40:59.5472698Z * [new branch] alt-disable -> origin/alt-disable 2025-10-10T01:40:59.5475498Z * [new branch] angelayi/allow_fake -> origin/angelayi/allow_fake 2025-10-10T01:40:59.5477475Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-10-10T01:40:59.5479362Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-10-10T01:40:59.5481228Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-10-10T01:40:59.5483289Z * [new branch] angelayi/benchmark3 -> origin/angelayi/benchmark3 2025-10-10T01:40:59.5484713Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-10-10T01:40:59.5486686Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-10-10T01:40:59.5488852Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-10-10T01:40:59.5491042Z * [new branch] angelayi/fix_mps -> origin/angelayi/fix_mps 2025-10-10T01:40:59.5493365Z * [new branch] angelayi/lint -> origin/angelayi/lint 2025-10-10T01:40:59.5495494Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-10-10T01:40:59.5497320Z * [new branch] angelayi/opaque_obj_v2 -> origin/angelayi/opaque_obj_v2 2025-10-10T01:40:59.5499148Z * [new branch] angelayi/pattern -> origin/angelayi/pattern 2025-10-10T01:40:59.5501157Z * [new branch] angelayi/pattern_in_out_2 -> origin/angelayi/pattern_in_out_2 2025-10-10T01:40:59.5503304Z * [new branch] angelayi/post_grad -> origin/angelayi/post_grad 2025-10-10T01:40:59.5505395Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-10-10T01:40:59.5507242Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-10-10T01:40:59.5509327Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-10-10T01:40:59.5511257Z * [new 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2025-10-10T01:41:00.7459674Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-10-10T01:41:00.7461485Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-10-10T01:41:00.7464086Z * [new tag] ciflow/b200-symm-mem/163767 -> ciflow/b200-symm-mem/163767 2025-10-10T01:41:00.7465578Z * [new tag] ciflow/b200/163955 -> ciflow/b200/163955 2025-10-10T01:41:00.7467447Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-10-10T01:41:00.7468986Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-10-10T01:41:00.7470810Z * [new tag] ciflow/binaries/164769 -> ciflow/binaries/164769 2025-10-10T01:41:00.7472493Z * [new tag] ciflow/binaries/164894 -> ciflow/binaries/164894 2025-10-10T01:41:00.7474352Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-10-10T01:41:00.7476292Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-10-10T01:41:00.7477964Z * [new tag] ciflow/binaries_wheel/159104 -> ciflow/binaries_wheel/159104 2025-10-10T01:41:00.7479700Z * [new tag] ciflow/binaries_wheel/164935 -> ciflow/binaries_wheel/164935 2025-10-10T01:41:00.7481541Z * [new tag] ciflow/h100-cutlass-backend/163767 -> ciflow/h100-cutlass-backend/163767 2025-10-10T01:41:00.7483105Z * [new tag] ciflow/h100-cutlass-backend/164747 -> ciflow/h100-cutlass-backend/164747 2025-10-10T01:41:00.7484892Z * [new tag] ciflow/h100-distributed/163767 -> ciflow/h100-distributed/163767 2025-10-10T01:41:00.7486798Z * [new tag] ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845 2025-10-10T01:41:00.7488347Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-10-10T01:41:00.7489945Z * [new tag] ciflow/h100-symm-mem/163767 -> ciflow/h100-symm-mem/163767 2025-10-10T01:41:00.7491552Z * [new tag] ciflow/h100-symm-mem/164747 -> ciflow/h100-symm-mem/164747 2025-10-10T01:41:00.7493089Z * [new tag] ciflow/h100-symm-mem/164965 -> ciflow/h100-symm-mem/164965 2025-10-10T01:41:00.7494627Z * [new tag] ciflow/h100-symm-mem/165101 -> ciflow/h100-symm-mem/165101 2025-10-10T01:41:00.7496876Z * [new tag] ciflow/h100/163955 -> ciflow/h100/163955 2025-10-10T01:41:00.7498410Z * [new tag] ciflow/h100/164474 -> ciflow/h100/164474 2025-10-10T01:41:00.7500195Z * [new tag] ciflow/h100/164705 -> ciflow/h100/164705 2025-10-10T01:41:00.7501740Z * [new tag] ciflow/h100/164790 -> ciflow/h100/164790 2025-10-10T01:41:00.7503312Z * [new tag] ciflow/h100/164930 -> ciflow/h100/164930 2025-10-10T01:41:00.7506027Z * [new tag] ciflow/h100/165055 -> ciflow/h100/165055 2025-10-10T01:41:00.7508224Z * [new tag] ciflow/inductor-micro-benchmark/164747 -> ciflow/inductor-micro-benchmark/164747 2025-10-10T01:41:00.7510016Z * [new tag] ciflow/inductor-perf-compare/163767 -> ciflow/inductor-perf-compare/163767 2025-10-10T01:41:00.7511534Z * [new tag] ciflow/inductor-perf-compare/164747 -> ciflow/inductor-perf-compare/164747 2025-10-10T01:41:00.7513532Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845 2025-10-10T01:41:00.7515147Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/164747 -> ciflow/inductor-perf-test-nightly-rocm/164747 2025-10-10T01:41:00.7517126Z * [new tag] ciflow/inductor-perf-test-nightly-x86-zen/161512 -> ciflow/inductor-perf-test-nightly-x86-zen/161512 2025-10-10T01:41:00.7518766Z * [new tag] ciflow/inductor-perf-test-nightly-x86-zen/162954 -> ciflow/inductor-perf-test-nightly-x86-zen/162954 2025-10-10T01:41:00.7520322Z * [new tag] ciflow/inductor-perf-test-nightly-x86-zen/163767 -> ciflow/inductor-perf-test-nightly-x86-zen/163767 2025-10-10T01:41:00.7521902Z * [new tag] ciflow/inductor-perf-test-nightly-x86-zen/164126 -> ciflow/inductor-perf-test-nightly-x86-zen/164126 2025-10-10T01:41:00.7523469Z * [new tag] ciflow/inductor-perf-test-nightly-x86-zen/164747 -> ciflow/inductor-perf-test-nightly-x86-zen/164747 2025-10-10T01:41:00.7525562Z * [new tag] ciflow/inductor-periodic/0d39ecb2ce8556e85343d8da0c87450192c2fdf8 -> ciflow/inductor-periodic/0d39ecb2ce8556e85343d8da0c87450192c2fdf8 2025-10-10T01:41:00.7527140Z * [new tag] ciflow/inductor-periodic/156592 -> ciflow/inductor-periodic/156592 2025-10-10T01:41:00.7528700Z * [new tag] ciflow/inductor-periodic/164492 -> ciflow/inductor-periodic/164492 2025-10-10T01:41:00.7530761Z * [new tag] ciflow/inductor-periodic/73adac05d13babb75410c3e033fdce57aa16881a -> ciflow/inductor-periodic/73adac05d13babb75410c3e033fdce57aa16881a 2025-10-10T01:41:00.7532333Z * [new tag] ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845 2025-10-10T01:41:00.7534007Z * [new tag] ciflow/inductor-rocm/161280 -> ciflow/inductor-rocm/161280 2025-10-10T01:41:00.7535741Z * [new tag] ciflow/inductor-rocm/162478 -> ciflow/inductor-rocm/162478 2025-10-10T01:41:00.7537293Z * [new tag] ciflow/inductor-rocm/163767 -> ciflow/inductor-rocm/163767 2025-10-10T01:41:00.7539144Z * [new tag] ciflow/inductor-rocm/164618 -> ciflow/inductor-rocm/164618 2025-10-10T01:41:00.7540697Z * [new tag] ciflow/inductor-rocm/164747 -> ciflow/inductor-rocm/164747 2025-10-10T01:41:00.7542210Z * [new tag] ciflow/inductor-rocm/164769 -> ciflow/inductor-rocm/164769 2025-10-10T01:41:00.7543897Z * [new tag] ciflow/inductor-rocm/165080 -> ciflow/inductor-rocm/165080 2025-10-10T01:41:00.7545637Z * [new tag] ciflow/inductor-rocm/165115 -> ciflow/inductor-rocm/165115 2025-10-10T01:41:00.7547504Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-10-10T01:41:00.7549018Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-10-10T01:41:00.7550571Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-10-10T01:41:00.7552128Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-10-10T01:41:00.7553756Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-10-10T01:41:00.7555428Z * [new tag] ciflow/inductor/149003 -> ciflow/inductor/149003 2025-10-10T01:41:00.7557014Z * [new tag] ciflow/inductor/151845 -> ciflow/inductor/151845 2025-10-10T01:41:00.7558552Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-10-10T01:41:00.7560131Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-10-10T01:41:00.7561716Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-10-10T01:41:00.7563411Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-10-10T01:41:00.7565529Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-10-10T01:41:00.7567628Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-10-10T01:41:00.7569482Z * [new tag] ciflow/inductor/158872 -> ciflow/inductor/158872 2025-10-10T01:41:00.7571334Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-10-10T01:41:00.7572998Z * [new tag] ciflow/inductor/159523 -> ciflow/inductor/159523 2025-10-10T01:41:00.7575243Z * [new tag] ciflow/inductor/160266 -> ciflow/inductor/160266 2025-10-10T01:41:00.7577098Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-10-10T01:41:00.7578775Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-10-10T01:41:00.7580677Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-10-10T01:41:00.7582399Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-10-10T01:41:00.7584602Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-10-10T01:41:00.7586493Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-10-10T01:41:00.7588437Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-10-10T01:41:00.7590244Z * [new tag] ciflow/inductor/160611 -> ciflow/inductor/160611 2025-10-10T01:41:00.7591785Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-10-10T01:41:00.7593484Z * [new tag] ciflow/inductor/160903 -> ciflow/inductor/160903 2025-10-10T01:41:00.7595520Z * [new tag] ciflow/inductor/161158 -> ciflow/inductor/161158 2025-10-10T01:41:00.7596868Z * [new tag] ciflow/inductor/161280 -> ciflow/inductor/161280 2025-10-10T01:41:00.7598498Z * [new tag] ciflow/inductor/161320 -> ciflow/inductor/161320 2025-10-10T01:41:00.7600506Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-10-10T01:41:00.7602074Z * [new tag] ciflow/inductor/161495 -> ciflow/inductor/161495 2025-10-10T01:41:00.7603950Z * [new tag] ciflow/inductor/161512 -> ciflow/inductor/161512 2025-10-10T01:41:00.7605578Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-10-10T01:41:00.7607248Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-10-10T01:41:00.7608856Z * [new tag] ciflow/inductor/162340 -> ciflow/inductor/162340 2025-10-10T01:41:00.7610474Z * [new tag] ciflow/inductor/162470 -> ciflow/inductor/162470 2025-10-10T01:41:00.7612297Z * [new tag] ciflow/inductor/162523 -> ciflow/inductor/162523 2025-10-10T01:41:00.7613983Z * [new tag] ciflow/inductor/162542 -> ciflow/inductor/162542 2025-10-10T01:41:00.7615590Z * [new tag] ciflow/inductor/162768 -> ciflow/inductor/162768 2025-10-10T01:41:00.7617247Z * [new tag] ciflow/inductor/162899 -> ciflow/inductor/162899 2025-10-10T01:41:00.7618876Z * [new tag] ciflow/inductor/162900 -> ciflow/inductor/162900 2025-10-10T01:41:00.7620553Z * [new tag] ciflow/inductor/162901 -> ciflow/inductor/162901 2025-10-10T01:41:00.7622146Z * [new tag] ciflow/inductor/162903 -> ciflow/inductor/162903 2025-10-10T01:41:00.7623889Z * [new tag] ciflow/inductor/162905 -> ciflow/inductor/162905 2025-10-10T01:41:00.7625501Z * [new tag] ciflow/inductor/162954 -> ciflow/inductor/162954 2025-10-10T01:41:00.7627184Z * [new tag] ciflow/inductor/162990 -> ciflow/inductor/162990 2025-10-10T01:41:00.7628747Z * [new tag] ciflow/inductor/163027 -> ciflow/inductor/163027 2025-10-10T01:41:00.7630403Z * [new tag] ciflow/inductor/163028 -> ciflow/inductor/163028 2025-10-10T01:41:00.7632070Z * [new tag] ciflow/inductor/163053 -> ciflow/inductor/163053 2025-10-10T01:41:00.7633704Z * [new tag] ciflow/inductor/163185 -> ciflow/inductor/163185 2025-10-10T01:41:00.7635462Z * [new tag] ciflow/inductor/163335 -> ciflow/inductor/163335 2025-10-10T01:41:00.7637082Z * [new tag] ciflow/inductor/163490 -> ciflow/inductor/163490 2025-10-10T01:41:00.7638743Z * [new tag] ciflow/inductor/163503 -> ciflow/inductor/163503 2025-10-10T01:41:00.7640602Z * [new tag] ciflow/inductor/163517 -> ciflow/inductor/163517 2025-10-10T01:41:00.7642253Z * [new tag] ciflow/inductor/163527 -> ciflow/inductor/163527 2025-10-10T01:41:00.7643879Z * [new tag] ciflow/inductor/163533 -> ciflow/inductor/163533 2025-10-10T01:41:00.7645510Z * [new tag] ciflow/inductor/163602 -> ciflow/inductor/163602 2025-10-10T01:41:00.7647121Z * [new tag] ciflow/inductor/163617 -> ciflow/inductor/163617 2025-10-10T01:41:00.7648793Z * [new tag] ciflow/inductor/163667 -> ciflow/inductor/163667 2025-10-10T01:41:00.7650593Z * [new tag] ciflow/inductor/163671 -> ciflow/inductor/163671 2025-10-10T01:41:00.7652066Z * [new tag] ciflow/inductor/163767 -> ciflow/inductor/163767 2025-10-10T01:41:00.7653724Z * [new tag] ciflow/inductor/163772 -> ciflow/inductor/163772 2025-10-10T01:41:00.7655450Z * [new tag] ciflow/inductor/163806 -> ciflow/inductor/163806 2025-10-10T01:41:00.7657067Z * [new tag] ciflow/inductor/163936 -> ciflow/inductor/163936 2025-10-10T01:41:00.7658918Z * [new tag] ciflow/inductor/163976 -> ciflow/inductor/163976 2025-10-10T01:41:00.7660663Z * [new tag] ciflow/inductor/164039 -> ciflow/inductor/164039 2025-10-10T01:41:00.7662401Z * [new tag] ciflow/inductor/164040 -> ciflow/inductor/164040 2025-10-10T01:41:00.7664081Z * [new tag] ciflow/inductor/164130 -> ciflow/inductor/164130 2025-10-10T01:41:00.7665720Z * [new tag] ciflow/inductor/164144 -> ciflow/inductor/164144 2025-10-10T01:41:00.7667356Z * [new tag] ciflow/inductor/164202 -> ciflow/inductor/164202 2025-10-10T01:41:00.7668993Z * [new tag] ciflow/inductor/164212 -> ciflow/inductor/164212 2025-10-10T01:41:00.7670642Z * [new tag] ciflow/inductor/164273 -> ciflow/inductor/164273 2025-10-10T01:41:00.7672258Z * [new tag] ciflow/inductor/164277 -> ciflow/inductor/164277 2025-10-10T01:41:00.7673962Z * [new tag] ciflow/inductor/164291 -> ciflow/inductor/164291 2025-10-10T01:41:00.7675766Z * [new tag] ciflow/inductor/164296 -> ciflow/inductor/164296 2025-10-10T01:41:00.7677481Z * [new tag] ciflow/inductor/164304 -> ciflow/inductor/164304 2025-10-10T01:41:00.7679140Z * [new tag] ciflow/inductor/164318 -> ciflow/inductor/164318 2025-10-10T01:41:00.7680793Z * [new tag] ciflow/inductor/164321 -> ciflow/inductor/164321 2025-10-10T01:41:00.7682430Z * [new tag] ciflow/inductor/164324 -> ciflow/inductor/164324 2025-10-10T01:41:00.7684505Z * [new tag] ciflow/inductor/164341 -> ciflow/inductor/164341 2025-10-10T01:41:00.7686129Z * [new tag] ciflow/inductor/164343 -> ciflow/inductor/164343 2025-10-10T01:41:00.7687745Z * [new tag] ciflow/inductor/164344 -> ciflow/inductor/164344 2025-10-10T01:41:00.7689367Z * [new tag] ciflow/inductor/164359 -> ciflow/inductor/164359 2025-10-10T01:41:00.7691068Z * [new tag] ciflow/inductor/164373 -> ciflow/inductor/164373 2025-10-10T01:41:00.7692895Z * [new tag] ciflow/inductor/164379 -> ciflow/inductor/164379 2025-10-10T01:41:00.7694535Z * [new tag] ciflow/inductor/164384 -> ciflow/inductor/164384 2025-10-10T01:41:00.7696195Z * [new tag] ciflow/inductor/164404 -> ciflow/inductor/164404 2025-10-10T01:41:00.7697832Z * [new tag] ciflow/inductor/164405 -> ciflow/inductor/164405 2025-10-10T01:41:00.7699487Z * [new tag] ciflow/inductor/164414 -> ciflow/inductor/164414 2025-10-10T01:41:00.7701100Z * [new tag] ciflow/inductor/164422 -> ciflow/inductor/164422 2025-10-10T01:41:00.7702857Z * [new tag] ciflow/inductor/164433 -> ciflow/inductor/164433 2025-10-10T01:41:00.7704577Z * [new tag] ciflow/inductor/164474 -> ciflow/inductor/164474 2025-10-10T01:41:00.7706254Z * [new tag] ciflow/inductor/164488 -> ciflow/inductor/164488 2025-10-10T01:41:00.7707882Z * [new tag] ciflow/inductor/164492 -> ciflow/inductor/164492 2025-10-10T01:41:00.7709524Z * [new tag] ciflow/inductor/164497 -> ciflow/inductor/164497 2025-10-10T01:41:00.7711166Z * [new tag] ciflow/inductor/164498 -> ciflow/inductor/164498 2025-10-10T01:41:00.7712969Z * [new tag] ciflow/inductor/164500 -> ciflow/inductor/164500 2025-10-10T01:41:00.7714478Z * [new tag] ciflow/inductor/164507 -> ciflow/inductor/164507 2025-10-10T01:41:00.7716284Z * [new tag] ciflow/inductor/164519 -> ciflow/inductor/164519 2025-10-10T01:41:00.7718128Z * [new tag] ciflow/inductor/164521 -> ciflow/inductor/164521 2025-10-10T01:41:00.7719778Z * [new tag] ciflow/inductor/164522 -> ciflow/inductor/164522 2025-10-10T01:41:00.7721448Z * [new tag] ciflow/inductor/164523 -> ciflow/inductor/164523 2025-10-10T01:41:00.7723092Z * [new tag] ciflow/inductor/164524 -> ciflow/inductor/164524 2025-10-10T01:41:00.7724707Z * [new tag] ciflow/inductor/164525 -> ciflow/inductor/164525 2025-10-10T01:41:00.7726425Z * [new tag] ciflow/inductor/164526 -> ciflow/inductor/164526 2025-10-10T01:41:00.7728280Z * [new tag] ciflow/inductor/164527 -> ciflow/inductor/164527 2025-10-10T01:41:00.7729891Z * [new tag] ciflow/inductor/164533 -> ciflow/inductor/164533 2025-10-10T01:41:00.7731615Z * [new tag] ciflow/inductor/164537 -> ciflow/inductor/164537 2025-10-10T01:41:00.7733307Z * [new tag] ciflow/inductor/164548 -> ciflow/inductor/164548 2025-10-10T01:41:00.7734987Z * [new tag] ciflow/inductor/164557 -> ciflow/inductor/164557 2025-10-10T01:41:00.7736625Z * [new tag] ciflow/inductor/164558 -> ciflow/inductor/164558 2025-10-10T01:41:00.7738355Z * [new tag] ciflow/inductor/164560 -> ciflow/inductor/164560 2025-10-10T01:41:00.7740057Z * [new tag] ciflow/inductor/164565 -> ciflow/inductor/164565 2025-10-10T01:41:00.7741711Z * [new tag] ciflow/inductor/164577 -> ciflow/inductor/164577 2025-10-10T01:41:00.7743490Z * [new tag] ciflow/inductor/164609 -> ciflow/inductor/164609 2025-10-10T01:41:00.7745198Z * [new tag] ciflow/inductor/164610 -> ciflow/inductor/164610 2025-10-10T01:41:00.7746839Z * [new tag] ciflow/inductor/164611 -> ciflow/inductor/164611 2025-10-10T01:41:00.7748438Z * [new tag] ciflow/inductor/164612 -> ciflow/inductor/164612 2025-10-10T01:41:00.7750083Z * [new tag] ciflow/inductor/164613 -> ciflow/inductor/164613 2025-10-10T01:41:00.7751748Z * [new tag] ciflow/inductor/164614 -> ciflow/inductor/164614 2025-10-10T01:41:00.7753392Z * [new tag] ciflow/inductor/164623 -> ciflow/inductor/164623 2025-10-10T01:41:00.7755071Z * [new tag] ciflow/inductor/164626 -> ciflow/inductor/164626 2025-10-10T01:41:00.7756770Z * [new tag] ciflow/inductor/164628 -> ciflow/inductor/164628 2025-10-10T01:41:00.7758432Z * [new tag] ciflow/inductor/164631 -> ciflow/inductor/164631 2025-10-10T01:41:00.7760080Z * [new tag] ciflow/inductor/164632 -> ciflow/inductor/164632 2025-10-10T01:41:00.7761691Z * [new tag] ciflow/inductor/164633 -> ciflow/inductor/164633 2025-10-10T01:41:00.7763331Z * [new tag] ciflow/inductor/164640 -> ciflow/inductor/164640 2025-10-10T01:41:00.7765144Z * [new tag] ciflow/inductor/164641 -> ciflow/inductor/164641 2025-10-10T01:41:00.7766905Z * [new tag] ciflow/inductor/164645 -> ciflow/inductor/164645 2025-10-10T01:41:00.7768545Z * [new tag] ciflow/inductor/164648 -> ciflow/inductor/164648 2025-10-10T01:41:00.7770360Z * [new tag] ciflow/inductor/164653 -> ciflow/inductor/164653 2025-10-10T01:41:00.7772156Z * [new tag] ciflow/inductor/164655 -> ciflow/inductor/164655 2025-10-10T01:41:00.7774079Z * [new tag] ciflow/inductor/164657 -> ciflow/inductor/164657 2025-10-10T01:41:00.7775797Z * [new tag] ciflow/inductor/164659 -> ciflow/inductor/164659 2025-10-10T01:41:00.7777440Z * [new tag] ciflow/inductor/164669 -> ciflow/inductor/164669 2025-10-10T01:41:00.7779257Z * [new tag] ciflow/inductor/164690 -> ciflow/inductor/164690 2025-10-10T01:41:00.7780918Z * [new tag] ciflow/inductor/164691 -> ciflow/inductor/164691 2025-10-10T01:41:00.7782650Z * [new tag] ciflow/inductor/164692 -> ciflow/inductor/164692 2025-10-10T01:41:00.7784323Z * [new tag] ciflow/inductor/164711 -> ciflow/inductor/164711 2025-10-10T01:41:00.7786134Z * [new tag] ciflow/inductor/164714 -> ciflow/inductor/164714 2025-10-10T01:41:00.7787979Z * [new tag] ciflow/inductor/164717 -> ciflow/inductor/164717 2025-10-10T01:41:00.7789599Z * [new tag] ciflow/inductor/164718 -> ciflow/inductor/164718 2025-10-10T01:41:00.7791547Z * [new tag] ciflow/inductor/164723 -> ciflow/inductor/164723 2025-10-10T01:41:00.7793733Z * [new tag] ciflow/inductor/164724 -> ciflow/inductor/164724 2025-10-10T01:41:00.7795536Z * [new tag] ciflow/inductor/164734 -> ciflow/inductor/164734 2025-10-10T01:41:00.7797248Z * [new tag] ciflow/inductor/164740 -> ciflow/inductor/164740 2025-10-10T01:41:00.7799047Z * [new tag] ciflow/inductor/164746 -> ciflow/inductor/164746 2025-10-10T01:41:00.7800711Z * [new tag] ciflow/inductor/164747 -> ciflow/inductor/164747 2025-10-10T01:41:00.7802600Z * [new tag] ciflow/inductor/164776 -> ciflow/inductor/164776 2025-10-10T01:41:00.7804276Z * [new tag] ciflow/inductor/164778 -> ciflow/inductor/164778 2025-10-10T01:41:00.7805931Z * [new tag] ciflow/inductor/164780 -> ciflow/inductor/164780 2025-10-10T01:41:00.7807544Z * [new tag] ciflow/inductor/164794 -> ciflow/inductor/164794 2025-10-10T01:41:00.7809217Z * [new tag] ciflow/inductor/164802 -> ciflow/inductor/164802 2025-10-10T01:41:00.7810857Z * [new tag] ciflow/inductor/164806 -> ciflow/inductor/164806 2025-10-10T01:41:00.7812725Z * [new tag] ciflow/inductor/164808 -> ciflow/inductor/164808 2025-10-10T01:41:00.7814380Z * [new tag] ciflow/inductor/164810 -> ciflow/inductor/164810 2025-10-10T01:41:00.7816008Z * [new tag] ciflow/inductor/164811 -> ciflow/inductor/164811 2025-10-10T01:41:00.7817703Z * [new tag] ciflow/inductor/164812 -> ciflow/inductor/164812 2025-10-10T01:41:00.7819331Z * [new tag] ciflow/inductor/164819 -> ciflow/inductor/164819 2025-10-10T01:41:00.7820988Z * [new tag] ciflow/inductor/164820 -> ciflow/inductor/164820 2025-10-10T01:41:00.7822658Z * [new tag] ciflow/inductor/164821 -> ciflow/inductor/164821 2025-10-10T01:41:00.7824309Z * [new tag] ciflow/inductor/164839 -> ciflow/inductor/164839 2025-10-10T01:41:00.7826008Z * [new tag] ciflow/inductor/164842 -> ciflow/inductor/164842 2025-10-10T01:41:00.7827687Z * [new tag] ciflow/inductor/164847 -> ciflow/inductor/164847 2025-10-10T01:41:00.7829277Z * [new tag] ciflow/inductor/164852 -> ciflow/inductor/164852 2025-10-10T01:41:00.7830947Z * [new tag] ciflow/inductor/164863 -> ciflow/inductor/164863 2025-10-10T01:41:00.7832602Z * [new tag] ciflow/inductor/164865 -> ciflow/inductor/164865 2025-10-10T01:41:00.7834302Z * [new tag] ciflow/inductor/164866 -> ciflow/inductor/164866 2025-10-10T01:41:00.7836081Z * [new tag] ciflow/inductor/164867 -> ciflow/inductor/164867 2025-10-10T01:41:00.7837870Z * [new tag] ciflow/inductor/164869 -> ciflow/inductor/164869 2025-10-10T01:41:00.7839375Z * [new tag] ciflow/inductor/164873 -> ciflow/inductor/164873 2025-10-10T01:41:00.7841184Z * [new tag] ciflow/inductor/164889 -> ciflow/inductor/164889 2025-10-10T01:41:00.7842804Z * [new tag] ciflow/inductor/164897 -> ciflow/inductor/164897 2025-10-10T01:41:00.7844442Z * [new tag] ciflow/inductor/164902 -> ciflow/inductor/164902 2025-10-10T01:41:00.7846084Z * [new tag] ciflow/inductor/164903 -> ciflow/inductor/164903 2025-10-10T01:41:00.7847812Z * [new tag] ciflow/inductor/164906 -> ciflow/inductor/164906 2025-10-10T01:41:00.7849517Z * [new tag] ciflow/inductor/164914 -> ciflow/inductor/164914 2025-10-10T01:41:00.7851177Z * [new tag] ciflow/inductor/164919 -> ciflow/inductor/164919 2025-10-10T01:41:00.7852848Z * [new tag] ciflow/inductor/164933 -> ciflow/inductor/164933 2025-10-10T01:41:00.7854621Z * [new tag] ciflow/inductor/164938 -> ciflow/inductor/164938 2025-10-10T01:41:00.7856273Z * [new tag] ciflow/inductor/164948 -> ciflow/inductor/164948 2025-10-10T01:41:00.7857896Z * [new tag] ciflow/inductor/164956 -> ciflow/inductor/164956 2025-10-10T01:41:00.7859575Z * [new tag] ciflow/inductor/164965 -> ciflow/inductor/164965 2025-10-10T01:41:00.7861243Z * [new tag] ciflow/inductor/164978 -> ciflow/inductor/164978 2025-10-10T01:41:00.7862888Z * [new tag] ciflow/inductor/164979 -> ciflow/inductor/164979 2025-10-10T01:41:00.7864595Z * [new tag] ciflow/inductor/164980 -> ciflow/inductor/164980 2025-10-10T01:41:00.7866420Z * [new tag] ciflow/inductor/164984 -> ciflow/inductor/164984 2025-10-10T01:41:00.7868097Z * [new tag] ciflow/inductor/164989 -> ciflow/inductor/164989 2025-10-10T01:41:00.7869700Z * [new tag] ciflow/inductor/164991 -> ciflow/inductor/164991 2025-10-10T01:41:00.7871339Z * [new tag] ciflow/inductor/164992 -> ciflow/inductor/164992 2025-10-10T01:41:00.7873150Z * [new tag] ciflow/inductor/164994 -> ciflow/inductor/164994 2025-10-10T01:41:00.7874960Z * [new tag] ciflow/inductor/164999 -> ciflow/inductor/164999 2025-10-10T01:41:00.7876684Z * [new tag] ciflow/inductor/165001 -> ciflow/inductor/165001 2025-10-10T01:41:00.7878329Z * [new tag] ciflow/inductor/165005 -> ciflow/inductor/165005 2025-10-10T01:41:00.7880028Z * [new tag] ciflow/inductor/165006 -> ciflow/inductor/165006 2025-10-10T01:41:00.7881667Z * [new tag] ciflow/inductor/165012 -> ciflow/inductor/165012 2025-10-10T01:41:00.7883336Z * [new tag] ciflow/inductor/165017 -> ciflow/inductor/165017 2025-10-10T01:41:00.7885209Z * [new tag] ciflow/inductor/165018 -> ciflow/inductor/165018 2025-10-10T01:41:00.7886815Z * [new tag] ciflow/inductor/165024 -> ciflow/inductor/165024 2025-10-10T01:41:00.7888622Z * [new tag] ciflow/inductor/165029 -> ciflow/inductor/165029 2025-10-10T01:41:00.7890409Z * [new tag] ciflow/inductor/165030 -> ciflow/inductor/165030 2025-10-10T01:41:00.7892288Z * [new tag] ciflow/inductor/165031 -> ciflow/inductor/165031 2025-10-10T01:41:00.7894061Z * [new tag] ciflow/inductor/165033 -> ciflow/inductor/165033 2025-10-10T01:41:00.7896165Z * [new tag] ciflow/inductor/165036 -> ciflow/inductor/165036 2025-10-10T01:41:00.7897912Z * [new tag] ciflow/inductor/165037 -> ciflow/inductor/165037 2025-10-10T01:41:00.7899688Z * [new tag] ciflow/inductor/165039 -> ciflow/inductor/165039 2025-10-10T01:41:00.7901353Z * [new tag] ciflow/inductor/165047 -> ciflow/inductor/165047 2025-10-10T01:41:00.7903450Z * [new tag] ciflow/inductor/165059 -> ciflow/inductor/165059 2025-10-10T01:41:00.7905315Z * [new tag] ciflow/inductor/165063 -> ciflow/inductor/165063 2025-10-10T01:41:00.7906955Z * [new tag] ciflow/inductor/165064 -> ciflow/inductor/165064 2025-10-10T01:41:00.7908570Z * [new tag] ciflow/inductor/165066 -> ciflow/inductor/165066 2025-10-10T01:41:00.7910221Z * [new tag] ciflow/inductor/165074 -> ciflow/inductor/165074 2025-10-10T01:41:00.7911868Z * [new tag] ciflow/inductor/165076 -> ciflow/inductor/165076 2025-10-10T01:41:00.7913525Z * [new tag] ciflow/inductor/165091 -> ciflow/inductor/165091 2025-10-10T01:41:00.7915321Z * [new tag] ciflow/inductor/165092 -> ciflow/inductor/165092 2025-10-10T01:41:00.7916997Z * [new tag] ciflow/inductor/165106 -> ciflow/inductor/165106 2025-10-10T01:41:00.7918657Z * [new tag] ciflow/inductor/165107 -> ciflow/inductor/165107 2025-10-10T01:41:00.7920561Z * [new tag] ciflow/inductor/165112 -> ciflow/inductor/165112 2025-10-10T01:41:00.7922245Z * [new tag] ciflow/inductor/165113 -> ciflow/inductor/165113 2025-10-10T01:41:00.7923894Z * [new tag] ciflow/inductor/165114 -> ciflow/inductor/165114 2025-10-10T01:41:00.7925876Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-10-10T01:41:00.7927744Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-10-10T01:41:00.7929535Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-10-10T01:41:00.7931482Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-10-10T01:41:00.7933174Z * [new tag] ciflow/linux-aarch64/163952 -> ciflow/linux-aarch64/163952 2025-10-10T01:41:00.7934706Z * [new tag] ciflow/linux-aarch64/164965 -> ciflow/linux-aarch64/164965 2025-10-10T01:41:00.7936578Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-10-10T01:41:00.7938142Z * [new tag] ciflow/mps/157554 -> ciflow/mps/157554 2025-10-10T01:41:00.7939699Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-10-10T01:41:00.7941252Z * [new tag] ciflow/mps/162340 -> ciflow/mps/162340 2025-10-10T01:41:00.7942817Z * [new tag] ciflow/mps/164416 -> ciflow/mps/164416 2025-10-10T01:41:00.7944622Z * [new tag] ciflow/mps/164571 -> ciflow/mps/164571 2025-10-10T01:41:00.7946193Z * [new tag] ciflow/mps/164965 -> ciflow/mps/164965 2025-10-10T01:41:00.7948159Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-10-10T01:41:00.7949670Z * [new tag] ciflow/nightly/164747 -> ciflow/nightly/164747 2025-10-10T01:41:00.7951219Z * [new tag] ciflow/nightly/164901 -> ciflow/nightly/164901 2025-10-10T01:41:00.7953061Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-10-10T01:41:00.7954737Z * [new tag] ciflow/op-benchmark/163767 -> ciflow/op-benchmark/163767 2025-10-10T01:41:00.7956380Z * [new tag] ciflow/op-benchmark/164583 -> ciflow/op-benchmark/164583 2025-10-10T01:41:00.7957940Z * [new tag] ciflow/op-benchmark/164747 -> ciflow/op-benchmark/164747 2025-10-10T01:41:00.7959843Z * [new tag] ciflow/periodic-rocm-mi300/162478 -> ciflow/periodic-rocm-mi300/162478 2025-10-10T01:41:00.7961347Z * [new tag] ciflow/periodic-rocm-mi300/163767 -> ciflow/periodic-rocm-mi300/163767 2025-10-10T01:41:00.7963012Z * [new tag] ciflow/periodic-rocm-mi300/164618 -> ciflow/periodic-rocm-mi300/164618 2025-10-10T01:41:00.7964433Z * [new tag] ciflow/periodic-rocm-mi300/164747 -> ciflow/periodic-rocm-mi300/164747 2025-10-10T01:41:00.7966085Z * [new tag] ciflow/periodic-rocm-mi300/165011 -> ciflow/periodic-rocm-mi300/165011 2025-10-10T01:41:00.7967672Z * [new tag] ciflow/periodic-rocm-mi300/165080 -> ciflow/periodic-rocm-mi300/165080 2025-10-10T01:41:00.7969237Z * [new tag] ciflow/periodic-rocm-mi300/165115 -> ciflow/periodic-rocm-mi300/165115 2025-10-10T01:41:00.7971325Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-10-10T01:41:00.7973123Z * [new tag] ciflow/periodic/0d39ecb2ce8556e85343d8da0c87450192c2fdf8 -> ciflow/periodic/0d39ecb2ce8556e85343d8da0c87450192c2fdf8 2025-10-10T01:41:00.7974913Z * [new tag] ciflow/periodic/0ea59c3c55dab37a6edefcc7002bb1428afd6456 -> ciflow/periodic/0ea59c3c55dab37a6edefcc7002bb1428afd6456 2025-10-10T01:41:00.7976413Z * [new tag] ciflow/periodic/156491 -> ciflow/periodic/156491 2025-10-10T01:41:00.7977955Z * [new tag] ciflow/periodic/162990 -> ciflow/periodic/162990 2025-10-10T01:41:00.7979461Z * [new tag] ciflow/periodic/163667 -> ciflow/periodic/163667 2025-10-10T01:41:00.7981043Z * [new tag] ciflow/periodic/163767 -> ciflow/periodic/163767 2025-10-10T01:41:00.7982996Z * [new tag] ciflow/periodic/164747 -> ciflow/periodic/164747 2025-10-10T01:41:00.7984832Z * [new tag] ciflow/periodic/164769 -> ciflow/periodic/164769 2025-10-10T01:41:00.7986469Z * [new tag] ciflow/periodic/165011 -> ciflow/periodic/165011 2025-10-10T01:41:00.7988697Z * [new tag] ciflow/periodic/2a6cdba6e5f74c2294fecc2d1344537522efbaab -> ciflow/periodic/2a6cdba6e5f74c2294fecc2d1344537522efbaab 2025-10-10T01:41:00.7990217Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-10-10T01:41:00.7992166Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-10-10T01:41:00.7993937Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-10-10T01:41:00.7996083Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-10-10T01:41:00.7998047Z * [new tag] ciflow/periodic/4bcc05777e780e834d44a2d06dd5321daec316f0 -> ciflow/periodic/4bcc05777e780e834d44a2d06dd5321daec316f0 2025-10-10T01:41:00.7999667Z * [new tag] ciflow/periodic/73adac05d13babb75410c3e033fdce57aa16881a -> ciflow/periodic/73adac05d13babb75410c3e033fdce57aa16881a 2025-10-10T01:41:00.8001388Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-10-10T01:41:00.8003714Z * [new tag] ciflow/periodic/ac08556f674259ff5b117964e300124e8a92d45b -> ciflow/periodic/ac08556f674259ff5b117964e300124e8a92d45b 2025-10-10T01:41:00.8006560Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-10-10T01:41:00.8008316Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-10-10T01:41:00.8010067Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-10-10T01:41:00.8011973Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-10-10T01:41:00.8013978Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-10-10T01:41:00.8015921Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-10-10T01:41:00.8017819Z * [new tag] ciflow/quantization-periodic/163767 -> ciflow/quantization-periodic/163767 2025-10-10T01:41:00.8019524Z * [new tag] ciflow/quantization-periodic/164747 -> ciflow/quantization-periodic/164747 2025-10-10T01:41:00.8021150Z * [new tag] ciflow/riscv64/163767 -> ciflow/riscv64/163767 2025-10-10T01:41:00.8022672Z * [new tag] ciflow/riscv64/164747 -> ciflow/riscv64/164747 2025-10-10T01:41:00.8024596Z * [new tag] ciflow/rocm-mi300/161280 -> ciflow/rocm-mi300/161280 2025-10-10T01:41:00.8026087Z * [new tag] ciflow/rocm-mi300/162478 -> ciflow/rocm-mi300/162478 2025-10-10T01:41:00.8027659Z * [new tag] ciflow/rocm-mi300/163767 -> ciflow/rocm-mi300/163767 2025-10-10T01:41:00.8029179Z * [new tag] ciflow/rocm-mi300/163955 -> ciflow/rocm-mi300/163955 2025-10-10T01:41:00.8030709Z * [new tag] ciflow/rocm-mi300/164618 -> ciflow/rocm-mi300/164618 2025-10-10T01:41:00.8032259Z * [new tag] ciflow/rocm-mi300/164747 -> ciflow/rocm-mi300/164747 2025-10-10T01:41:00.8033971Z * [new tag] ciflow/rocm-mi300/164927 -> ciflow/rocm-mi300/164927 2025-10-10T01:41:00.8035630Z * [new tag] ciflow/rocm-mi300/164930 -> ciflow/rocm-mi300/164930 2025-10-10T01:41:00.8037319Z * [new tag] ciflow/rocm-mi300/165026 -> ciflow/rocm-mi300/165026 2025-10-10T01:41:00.8038898Z * [new tag] ciflow/rocm-mi300/165080 -> ciflow/rocm-mi300/165080 2025-10-10T01:41:00.8040494Z * [new tag] ciflow/rocm-mi300/165115 -> ciflow/rocm-mi300/165115 2025-10-10T01:41:00.8042346Z * [new tag] ciflow/rocm-mi355/163767 -> ciflow/rocm-mi355/163767 2025-10-10T01:41:00.8044006Z * [new tag] ciflow/rocm-mi355/164747 -> ciflow/rocm-mi355/164747 2025-10-10T01:41:00.8045880Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-10-10T01:41:00.8047396Z * [new tag] ciflow/rocm/151845 -> ciflow/rocm/151845 2025-10-10T01:41:00.8048949Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-10-10T01:41:00.8050576Z * [new tag] ciflow/rocm/161280 -> ciflow/rocm/161280 2025-10-10T01:41:00.8052075Z * [new tag] ciflow/rocm/163767 -> ciflow/rocm/163767 2025-10-10T01:41:00.8053641Z * [new tag] ciflow/rocm/163955 -> ciflow/rocm/163955 2025-10-10T01:41:00.8055362Z * [new tag] ciflow/rocm/163965 -> ciflow/rocm/163965 2025-10-10T01:41:00.8057080Z * [new tag] ciflow/rocm/164656 -> ciflow/rocm/164656 2025-10-10T01:41:00.8058610Z * [new tag] ciflow/rocm/164747 -> ciflow/rocm/164747 2025-10-10T01:41:00.8060105Z * [new tag] ciflow/rocm/164769 -> ciflow/rocm/164769 2025-10-10T01:41:00.8061728Z * [new tag] ciflow/rocm/164927 -> ciflow/rocm/164927 2025-10-10T01:41:00.8063889Z * [new tag] ciflow/rocm/164930 -> ciflow/rocm/164930 2025-10-10T01:41:00.8065637Z * [new tag] ciflow/rocm/165026 -> ciflow/rocm/165026 2025-10-10T01:41:00.8067497Z * [new tag] ciflow/s390/164747 -> ciflow/s390/164747 2025-10-10T01:41:00.8069185Z * [new tag] ciflow/s390/164917 -> ciflow/s390/164917 2025-10-10T01:41:00.8071235Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-10-10T01:41:00.8072864Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-10-10T01:41:00.8075034Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-10-10T01:41:00.8076636Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-10-10T01:41:00.8078184Z * [new tag] ciflow/slow/163767 -> ciflow/slow/163767 2025-10-10T01:41:00.8079665Z * [new tag] ciflow/slow/164747 -> ciflow/slow/164747 2025-10-10T01:41:00.8081333Z * [new tag] ciflow/slow/164769 -> ciflow/slow/164769 2025-10-10T01:41:00.8082972Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-10-10T01:41:00.8085264Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-10-10T01:41:00.8087374Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-10-10T01:41:00.8089337Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-10-10T01:41:00.8091216Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-10-10T01:41:00.8093082Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-10-10T01:41:00.8094934Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-10-10T01:41:00.8096690Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-10-10T01:41:00.8099455Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-10-10T01:41:00.8100967Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-10-10T01:41:00.8102856Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-10-10T01:41:00.8104669Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-10-10T01:41:00.8106479Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-10-10T01:41:00.8108413Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-10-10T01:41:00.8110578Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-10-10T01:41:00.8112254Z * [new tag] ciflow/torchbench/164747 -> ciflow/torchbench/164747 2025-10-10T01:41:00.8114056Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-10-10T01:41:00.8115728Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-10-10T01:41:00.8124809Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-10-10T01:41:00.8125207Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-10-10T01:41:00.8125377Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-10-10T01:41:00.8125554Z * [new tag] ciflow/trunk/149003 -> ciflow/trunk/149003 2025-10-10T01:41:00.8125714Z * [new tag] ciflow/trunk/149536 -> ciflow/trunk/149536 2025-10-10T01:41:00.8126054Z * [new tag] ciflow/trunk/151845 -> ciflow/trunk/151845 2025-10-10T01:41:00.8126222Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-10-10T01:41:00.8128049Z * [new tag] ciflow/trunk/154279 -> ciflow/trunk/154279 2025-10-10T01:41:00.8129637Z * [new tag] ciflow/trunk/154983 -> ciflow/trunk/154983 2025-10-10T01:41:00.8131692Z * [new tag] ciflow/trunk/156418 -> ciflow/trunk/156418 2025-10-10T01:41:00.8133676Z * [new tag] ciflow/trunk/156592 -> ciflow/trunk/156592 2025-10-10T01:41:00.8135531Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-10-10T01:41:00.8137135Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-10-10T01:41:00.8138726Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-10-10T01:41:00.8140355Z * [new tag] ciflow/trunk/158932 -> ciflow/trunk/158932 2025-10-10T01:41:00.8141988Z * [new tag] ciflow/trunk/159104 -> ciflow/trunk/159104 2025-10-10T01:41:00.8143780Z * [new tag] ciflow/trunk/159936 -> ciflow/trunk/159936 2025-10-10T01:41:00.8145558Z * [new tag] ciflow/trunk/160266 -> ciflow/trunk/160266 2025-10-10T01:41:00.8147158Z * [new tag] ciflow/trunk/160328 -> ciflow/trunk/160328 2025-10-10T01:41:00.8148803Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-10-10T01:41:00.8150385Z * [new tag] ciflow/trunk/160539 -> ciflow/trunk/160539 2025-10-10T01:41:00.8152435Z * [new tag] ciflow/trunk/160610 -> ciflow/trunk/160610 2025-10-10T01:41:00.8154034Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-10-10T01:41:00.8155947Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-10-10T01:41:00.8157639Z * [new tag] ciflow/trunk/161320 -> ciflow/trunk/161320 2025-10-10T01:41:00.8159228Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-10-10T01:41:00.8160964Z * [new tag] ciflow/trunk/162203 -> ciflow/trunk/162203 2025-10-10T01:41:00.8162607Z * [new tag] ciflow/trunk/162340 -> ciflow/trunk/162340 2025-10-10T01:41:00.8164825Z * [new tag] ciflow/trunk/162542 -> ciflow/trunk/162542 2025-10-10T01:41:00.8166460Z * [new tag] ciflow/trunk/162899 -> ciflow/trunk/162899 2025-10-10T01:41:00.8168263Z * [new tag] ciflow/trunk/163034 -> ciflow/trunk/163034 2025-10-10T01:41:00.8170035Z * [new tag] ciflow/trunk/163332 -> ciflow/trunk/163332 2025-10-10T01:41:00.8171768Z * [new tag] ciflow/trunk/163446 -> ciflow/trunk/163446 2025-10-10T01:41:00.8173434Z * [new tag] ciflow/trunk/163490 -> ciflow/trunk/163490 2025-10-10T01:41:00.8175126Z * [new tag] ciflow/trunk/163527 -> ciflow/trunk/163527 2025-10-10T01:41:00.8176761Z * [new tag] ciflow/trunk/163533 -> ciflow/trunk/163533 2025-10-10T01:41:00.8178391Z * [new tag] ciflow/trunk/163671 -> ciflow/trunk/163671 2025-10-10T01:41:00.8180080Z * [new tag] ciflow/trunk/163767 -> ciflow/trunk/163767 2025-10-10T01:41:00.8181738Z * [new tag] ciflow/trunk/163846 -> ciflow/trunk/163846 2025-10-10T01:41:00.8183372Z * [new tag] ciflow/trunk/163899 -> ciflow/trunk/163899 2025-10-10T01:41:00.8185048Z * [new tag] ciflow/trunk/163955 -> ciflow/trunk/163955 2025-10-10T01:41:00.8186693Z * [new tag] ciflow/trunk/163976 -> ciflow/trunk/163976 2025-10-10T01:41:00.8188285Z * [new tag] ciflow/trunk/164040 -> ciflow/trunk/164040 2025-10-10T01:41:00.8189971Z * [new tag] ciflow/trunk/164130 -> ciflow/trunk/164130 2025-10-10T01:41:00.8191665Z * [new tag] ciflow/trunk/164144 -> ciflow/trunk/164144 2025-10-10T01:41:00.8193335Z * [new tag] ciflow/trunk/164202 -> ciflow/trunk/164202 2025-10-10T01:41:00.8194975Z * [new tag] ciflow/trunk/164318 -> ciflow/trunk/164318 2025-10-10T01:41:00.8196703Z * [new tag] ciflow/trunk/164414 -> ciflow/trunk/164414 2025-10-10T01:41:00.8198330Z * [new tag] ciflow/trunk/164416 -> ciflow/trunk/164416 2025-10-10T01:41:00.8200002Z * [new tag] ciflow/trunk/164437 -> ciflow/trunk/164437 2025-10-10T01:41:00.8201745Z * [new tag] ciflow/trunk/164467 -> ciflow/trunk/164467 2025-10-10T01:41:00.8203458Z * [new tag] ciflow/trunk/164500 -> ciflow/trunk/164500 2025-10-10T01:41:00.8205269Z * [new tag] ciflow/trunk/164510 -> ciflow/trunk/164510 2025-10-10T01:41:00.8206860Z * [new tag] ciflow/trunk/164519 -> ciflow/trunk/164519 2025-10-10T01:41:00.8208535Z * [new tag] ciflow/trunk/164542 -> ciflow/trunk/164542 2025-10-10T01:41:00.8210324Z * [new tag] ciflow/trunk/164560 -> ciflow/trunk/164560 2025-10-10T01:41:00.8211969Z * [new tag] ciflow/trunk/164566 -> ciflow/trunk/164566 2025-10-10T01:41:00.8213572Z * [new tag] ciflow/trunk/164623 -> ciflow/trunk/164623 2025-10-10T01:41:00.8215197Z * [new tag] ciflow/trunk/164628 -> ciflow/trunk/164628 2025-10-10T01:41:00.8216837Z * [new tag] ciflow/trunk/164641 -> ciflow/trunk/164641 2025-10-10T01:41:00.8218606Z * [new tag] ciflow/trunk/164643 -> ciflow/trunk/164643 2025-10-10T01:41:00.8220210Z * [new tag] ciflow/trunk/164645 -> ciflow/trunk/164645 2025-10-10T01:41:00.8221918Z * [new tag] ciflow/trunk/164653 -> ciflow/trunk/164653 2025-10-10T01:41:00.8223540Z * [new tag] ciflow/trunk/164655 -> ciflow/trunk/164655 2025-10-10T01:41:00.8225174Z * [new tag] ciflow/trunk/164691 -> ciflow/trunk/164691 2025-10-10T01:41:00.8226809Z * [new tag] ciflow/trunk/164692 -> ciflow/trunk/164692 2025-10-10T01:41:00.8228465Z * [new tag] ciflow/trunk/164705 -> ciflow/trunk/164705 2025-10-10T01:41:00.8230082Z * [new tag] ciflow/trunk/164746 -> ciflow/trunk/164746 2025-10-10T01:41:00.8231720Z * [new tag] ciflow/trunk/164747 -> ciflow/trunk/164747 2025-10-10T01:41:00.8233350Z * [new tag] ciflow/trunk/164790 -> ciflow/trunk/164790 2025-10-10T01:41:00.8235195Z * [new tag] ciflow/trunk/164808 -> ciflow/trunk/164808 2025-10-10T01:41:00.8236875Z * [new tag] ciflow/trunk/164812 -> ciflow/trunk/164812 2025-10-10T01:41:00.8238704Z * [new tag] ciflow/trunk/164836 -> ciflow/trunk/164836 2025-10-10T01:41:00.8240329Z * [new tag] ciflow/trunk/164842 -> ciflow/trunk/164842 2025-10-10T01:41:00.8242004Z * [new tag] ciflow/trunk/164882 -> ciflow/trunk/164882 2025-10-10T01:41:00.8243606Z * [new tag] ciflow/trunk/164889 -> ciflow/trunk/164889 2025-10-10T01:41:00.8245250Z * [new tag] ciflow/trunk/164894 -> ciflow/trunk/164894 2025-10-10T01:41:00.8246894Z * [new tag] ciflow/trunk/164930 -> ciflow/trunk/164930 2025-10-10T01:41:00.8248609Z * [new tag] ciflow/trunk/164953 -> ciflow/trunk/164953 2025-10-10T01:41:00.8250210Z * [new tag] ciflow/trunk/164976 -> ciflow/trunk/164976 2025-10-10T01:41:00.8252045Z * [new tag] ciflow/trunk/164999 -> ciflow/trunk/164999 2025-10-10T01:41:00.8253536Z * [new tag] ciflow/trunk/165000 -> ciflow/trunk/165000 2025-10-10T01:41:00.8255330Z * [new tag] ciflow/trunk/165017 -> ciflow/trunk/165017 2025-10-10T01:41:00.8256906Z * [new tag] ciflow/trunk/165018 -> ciflow/trunk/165018 2025-10-10T01:41:00.8258522Z * [new tag] ciflow/trunk/165024 -> ciflow/trunk/165024 2025-10-10T01:41:00.8260157Z * [new tag] ciflow/trunk/165031 -> ciflow/trunk/165031 2025-10-10T01:41:00.8261932Z * [new tag] ciflow/trunk/165033 -> ciflow/trunk/165033 2025-10-10T01:41:00.8263852Z * [new tag] ciflow/trunk/165043 -> ciflow/trunk/165043 2025-10-10T01:41:00.8265301Z * [new tag] ciflow/trunk/165047 -> ciflow/trunk/165047 2025-10-10T01:41:00.8266926Z * [new tag] ciflow/trunk/165057 -> ciflow/trunk/165057 2025-10-10T01:41:00.8268586Z * [new tag] ciflow/trunk/165060 -> ciflow/trunk/165060 2025-10-10T01:41:00.8270237Z * [new tag] ciflow/trunk/165065 -> ciflow/trunk/165065 2025-10-10T01:41:00.8272417Z * [new tag] ciflow/trunk/165066 -> ciflow/trunk/165066 2025-10-10T01:41:00.8274225Z * [new tag] ciflow/trunk/165090 -> ciflow/trunk/165090 2025-10-10T01:41:00.8276216Z * [new tag] ciflow/trunk/165094 -> ciflow/trunk/165094 2025-10-10T01:41:00.8277793Z * [new tag] ciflow/trunk/165113 -> ciflow/trunk/165113 2025-10-10T01:41:00.8279960Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-10-10T01:41:00.8282342Z * [new tag] ciflow/vllm/164628 -> ciflow/vllm/164628 2025-10-10T01:41:00.8284297Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-10-10T01:41:00.8286097Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-10-10T01:41:00.8287635Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-10-10T01:41:00.8289282Z * [new tag] ciflow/xpu/162454 -> ciflow/xpu/162454 2025-10-10T01:41:00.8290888Z * [new tag] ciflow/xpu/163332 -> ciflow/xpu/163332 2025-10-10T01:41:00.8292520Z * [new tag] cslpull75 -> cslpull75 2025-10-10T01:41:00.8294195Z * [new tag] cslpull76 -> cslpull76 2025-10-10T01:41:00.8295809Z * [new tag] cslpull77 -> cslpull77 2025-10-10T01:41:00.8297500Z * [new tag] cslpull78 -> cslpull78 2025-10-10T01:41:00.8299445Z * [new tag] cslpull79 -> cslpull79 2025-10-10T01:41:00.8301408Z * [new tag] cslpull80 -> cslpull80 2025-10-10T01:41:00.8303412Z * [new tag] cslpull81 -> cslpull81 2025-10-10T01:41:00.8305139Z * [new tag] cslpull82 -> cslpull82 2025-10-10T01:41:00.8306883Z * [new tag] cslpull83 -> cslpull83 2025-10-10T01:41:00.8308513Z * [new tag] cslpull84 -> cslpull84 2025-10-10T01:41:00.8310666Z * [new tag] cslpull85 -> cslpull85 2025-10-10T01:41:00.8312520Z * [new tag] cslpull86 -> cslpull86 2025-10-10T01:41:00.8314890Z * [new tag] cslpull87 -> cslpull87 2025-10-10T01:41:00.8316705Z * [new tag] cslpull88 -> cslpull88 2025-10-10T01:41:00.8318390Z * [new tag] cslpull89 -> cslpull89 2025-10-10T01:41:00.8320063Z * [new tag] cslpull90 -> cslpull90 2025-10-10T01:41:00.8322010Z * [new tag] cslpull91 -> cslpull91 2025-10-10T01:41:00.8323670Z * [new tag] cslpull92 -> cslpull92 2025-10-10T01:41:00.8325389Z * [new tag] flight_5 -> flight_5 2025-10-10T01:41:00.8327177Z * [new tag] flight_5.1 -> flight_5.1 2025-10-10T01:41:00.8328895Z * [new tag] flight_5.2 -> flight_5.2 2025-10-10T01:41:00.8330534Z * [new tag] flight_5.3 -> flight_5.3 2025-10-10T01:41:00.8332307Z * [new tag] forpull1 -> forpull1 2025-10-10T01:41:00.8334366Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-10-10T01:41:00.8336144Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-10-10T01:41:00.8337778Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-10-10T01:41:00.8339627Z * [new tag] nightly-binary -> nightly-binary 2025-10-10T01:41:00.8341194Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-10-10T01:41:00.8343082Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-10-10T01:41:00.8345406Z * [new tag] trunk/001e1d263746ae9d121d9c8cf55bc87f777d9dba -> trunk/001e1d263746ae9d121d9c8cf55bc87f777d9dba 2025-10-10T01:41:00.8347009Z * [new tag] trunk/005c3d449e4c655d2eb0d76949a8cd41ce88f979 -> trunk/005c3d449e4c655d2eb0d76949a8cd41ce88f979 2025-10-10T01:41:00.8349052Z * [new tag] trunk/00f0365b959323bab89dc0a5bd5d40589e78edc8 -> trunk/00f0365b959323bab89dc0a5bd5d40589e78edc8 2025-10-10T01:41:00.8350979Z * [new tag] trunk/01f3a43462da594b65a6c9e8b46c132cd360cea9 -> trunk/01f3a43462da594b65a6c9e8b46c132cd360cea9 2025-10-10T01:41:00.8352762Z * [new tag] trunk/0319556a35b01e8857f7bf75df9df3287e1e853a -> trunk/0319556a35b01e8857f7bf75df9df3287e1e853a 2025-10-10T01:41:00.8354584Z * [new tag] trunk/054268c9ebb3291c6fd442e4a1f6602a8ea43ab6 -> trunk/054268c9ebb3291c6fd442e4a1f6602a8ea43ab6 2025-10-10T01:41:00.8356446Z * [new tag] trunk/06d86e58d0309aa2c217256f88d1990a22ec6e4f -> trunk/06d86e58d0309aa2c217256f88d1990a22ec6e4f 2025-10-10T01:41:00.8358061Z * [new tag] trunk/0747d95994600a5a5538da560801476abbb67342 -> trunk/0747d95994600a5a5538da560801476abbb67342 2025-10-10T01:41:00.8359952Z * [new tag] trunk/078d475d3bb104823e70ce975c2ee0d4d2fb0952 -> trunk/078d475d3bb104823e70ce975c2ee0d4d2fb0952 2025-10-10T01:41:00.8361825Z * [new tag] trunk/086dec3235d463e751c12ce9eeeb2dfcc873e206 -> trunk/086dec3235d463e751c12ce9eeeb2dfcc873e206 2025-10-10T01:41:00.8363867Z * [new tag] trunk/0a3e4e894cbc0cc93568c5d016f3ad72650cf641 -> trunk/0a3e4e894cbc0cc93568c5d016f3ad72650cf641 2025-10-10T01:41:00.8365627Z * [new tag] trunk/0b01ff4de02035eb21c1bc6bf4b1b627bc1cefaa -> trunk/0b01ff4de02035eb21c1bc6bf4b1b627bc1cefaa 2025-10-10T01:41:00.8367418Z * [new tag] trunk/0b15f7ae059cf4fa3909bbb009d83c0253a6385a -> trunk/0b15f7ae059cf4fa3909bbb009d83c0253a6385a 2025-10-10T01:41:00.8369182Z * [new tag] trunk/0b4f2b46d9e14c1858dd3d0ca9b62e349ae316cf -> trunk/0b4f2b46d9e14c1858dd3d0ca9b62e349ae316cf 2025-10-10T01:41:00.8371030Z * [new tag] trunk/0b85236477fe8a0e32510bcc973b2f34ef981df2 -> trunk/0b85236477fe8a0e32510bcc973b2f34ef981df2 2025-10-10T01:41:00.8372673Z * [new tag] trunk/0d39ecb2ce8556e85343d8da0c87450192c2fdf8 -> trunk/0d39ecb2ce8556e85343d8da0c87450192c2fdf8 2025-10-10T01:41:00.8374526Z * [new tag] trunk/0e5773b7fadef9e29b006af470b771fad55b5206 -> trunk/0e5773b7fadef9e29b006af470b771fad55b5206 2025-10-10T01:41:00.8376260Z * [new tag] trunk/0e9b3a772ab96e998ab85591d5b2a9c1d41bacb0 -> trunk/0e9b3a772ab96e998ab85591d5b2a9c1d41bacb0 2025-10-10T01:41:00.8378131Z * [new tag] trunk/0fbe3f19c7e88ee1720d2e1579e3fd2cafdaabf9 -> trunk/0fbe3f19c7e88ee1720d2e1579e3fd2cafdaabf9 2025-10-10T01:41:00.8380043Z * [new tag] trunk/0fd976b65c6daf3799a501d9202e4f50144446d1 -> trunk/0fd976b65c6daf3799a501d9202e4f50144446d1 2025-10-10T01:41:00.8381892Z * [new tag] trunk/1051c1de5c0c1d34bec94c4a3199ac7b23bb19e1 -> trunk/1051c1de5c0c1d34bec94c4a3199ac7b23bb19e1 2025-10-10T01:41:00.8383676Z * [new tag] trunk/115af42e9d57e89c26777be72822107cd7b39e07 -> trunk/115af42e9d57e89c26777be72822107cd7b39e07 2025-10-10T01:41:00.8385493Z * [new tag] trunk/11f5f656867089dac1fa1e64e34c9966578fbddd -> trunk/11f5f656867089dac1fa1e64e34c9966578fbddd 2025-10-10T01:41:00.8387271Z * [new tag] trunk/12d2ef557f6e127100267c31a31572d8ab5cc788 -> trunk/12d2ef557f6e127100267c31a31572d8ab5cc788 2025-10-10T01:41:00.8388954Z * [new tag] trunk/144378615a5a2b347e39c6376cba7d75f7a82926 -> trunk/144378615a5a2b347e39c6376cba7d75f7a82926 2025-10-10T01:41:00.8390718Z * [new tag] trunk/14791ea947349fb5fa7b7d6230cfd3924c36ba27 -> trunk/14791ea947349fb5fa7b7d6230cfd3924c36ba27 2025-10-10T01:41:00.8392486Z * [new tag] trunk/15800888b697bacd555399b3a0ca2e8d0827528e -> trunk/15800888b697bacd555399b3a0ca2e8d0827528e 2025-10-10T01:41:00.8394272Z * [new tag] trunk/15c8bdcc5e3a6dfd14e5c977438f772031e064ff -> trunk/15c8bdcc5e3a6dfd14e5c977438f772031e064ff 2025-10-10T01:41:00.8396427Z * [new tag] trunk/15d726005ddc5558c934c3edd5f815c2e504e501 -> trunk/15d726005ddc5558c934c3edd5f815c2e504e501 2025-10-10T01:41:00.8398187Z * [new tag] trunk/16f9bef642b07b3090a6e4a04517eff84d41a197 -> trunk/16f9bef642b07b3090a6e4a04517eff84d41a197 2025-10-10T01:41:00.8400010Z * [new tag] trunk/17c7170ca6e2efd5ead2b93bd12e226ff48f0669 -> trunk/17c7170ca6e2efd5ead2b93bd12e226ff48f0669 2025-10-10T01:41:00.8401913Z * [new tag] trunk/184817c7a81d5c01e107a84efeb269b063ddf5d6 -> trunk/184817c7a81d5c01e107a84efeb269b063ddf5d6 2025-10-10T01:41:00.8405875Z * [new tag] trunk/18940820006d2304460008575561e2e8e7fc59fc -> trunk/18940820006d2304460008575561e2e8e7fc59fc 2025-10-10T01:41:00.8407606Z * [new tag] trunk/18e18488e8c90e53cc113b1a5eddd9640ee80292 -> trunk/18e18488e8c90e53cc113b1a5eddd9640ee80292 2025-10-10T01:41:00.8409385Z * [new tag] trunk/1927783aa3ad676db6f4c34fc77ef3825a4e2ed5 -> trunk/1927783aa3ad676db6f4c34fc77ef3825a4e2ed5 2025-10-10T01:41:00.8411153Z * [new tag] trunk/19bf67be3286c0e2babe83af0d1593bae850362a -> trunk/19bf67be3286c0e2babe83af0d1593bae850362a 2025-10-10T01:41:00.8412922Z * [new tag] trunk/1bb68271b7ff1b582845384c6c7f7b1593ae1619 -> trunk/1bb68271b7ff1b582845384c6c7f7b1593ae1619 2025-10-10T01:41:00.8414687Z * [new tag] trunk/1d182dd81c3143697337e35d046fd02951dedb09 -> trunk/1d182dd81c3143697337e35d046fd02951dedb09 2025-10-10T01:41:00.8416464Z * [new tag] trunk/1e42fde45eff81845f269e8185f54a19f6d87c5b -> trunk/1e42fde45eff81845f269e8185f54a19f6d87c5b 2025-10-10T01:41:00.8418333Z * [new tag] trunk/1f73b96668bc6ae4c8e7ef5b630ff5f3c69ae005 -> trunk/1f73b96668bc6ae4c8e7ef5b630ff5f3c69ae005 2025-10-10T01:41:00.8420206Z * [new tag] trunk/1f8ee5da117952b03f0050a178d69f8e7189b0f8 -> trunk/1f8ee5da117952b03f0050a178d69f8e7189b0f8 2025-10-10T01:41:00.8422001Z * [new tag] trunk/1f9614cef8e0272c8e3bd99004d2978a6ecc5195 -> trunk/1f9614cef8e0272c8e3bd99004d2978a6ecc5195 2025-10-10T01:41:00.8423646Z * [new tag] trunk/1fb072ac2a33af93a77888dddbdd228b22a3f9c4 -> trunk/1fb072ac2a33af93a77888dddbdd228b22a3f9c4 2025-10-10T01:41:00.8425308Z * [new tag] trunk/1fc71d1b578badb1b3ba7cc2d5795f4f80463749 -> trunk/1fc71d1b578badb1b3ba7cc2d5795f4f80463749 2025-10-10T01:41:00.8427062Z * [new tag] trunk/20082d713666fa1eade588bebd523d86309bfa25 -> trunk/20082d713666fa1eade588bebd523d86309bfa25 2025-10-10T01:41:00.8428943Z * [new tag] trunk/2164b661219ab0a76aa018e955ba3d8e8f99c083 -> trunk/2164b661219ab0a76aa018e955ba3d8e8f99c083 2025-10-10T01:41:00.8430798Z * [new tag] trunk/228973df7f770505aafc6fc17b99f81ac58bdfe1 -> trunk/228973df7f770505aafc6fc17b99f81ac58bdfe1 2025-10-10T01:41:00.8433255Z * [new tag] trunk/22b1710252525d80d47ba95c762ccdbf577b2dc2 -> trunk/22b1710252525d80d47ba95c762ccdbf577b2dc2 2025-10-10T01:41:00.8435447Z * [new tag] trunk/22e219d9969ff3cee85bc5de32fa49d5a549a148 -> trunk/22e219d9969ff3cee85bc5de32fa49d5a549a148 2025-10-10T01:41:00.8436959Z * [new tag] trunk/235b995ce18de632ab816940319fcd66b46039b8 -> trunk/235b995ce18de632ab816940319fcd66b46039b8 2025-10-10T01:41:00.8438575Z * [new tag] trunk/23ab6a45e5c759fb4714905cb8c84ef74c70aa67 -> trunk/23ab6a45e5c759fb4714905cb8c84ef74c70aa67 2025-10-10T01:41:00.8440407Z * [new tag] trunk/24d69c57cbaa94cc828dbbdf83c889f5f244ae28 -> trunk/24d69c57cbaa94cc828dbbdf83c889f5f244ae28 2025-10-10T01:41:00.8442190Z * [new tag] trunk/263db92563f0ae71bf3e4fc265fbb48e79f9f23f -> trunk/263db92563f0ae71bf3e4fc265fbb48e79f9f23f 2025-10-10T01:41:00.8444191Z * [new tag] trunk/27234792add2ee9bedd84ca02dbf34f8f244bc5c -> trunk/27234792add2ee9bedd84ca02dbf34f8f244bc5c 2025-10-10T01:41:00.8445831Z * [new tag] trunk/27eb36debbe3fa2d43a2f893a5c46a6257a09460 -> trunk/27eb36debbe3fa2d43a2f893a5c46a6257a09460 2025-10-10T01:41:00.8447580Z * [new tag] trunk/2855a045b30dafad7a08d66e242be13770189c19 -> trunk/2855a045b30dafad7a08d66e242be13770189c19 2025-10-10T01:41:00.8449407Z * [new tag] trunk/2883b5ab773daf5861d43ff0b65be49a441ab3f9 -> trunk/2883b5ab773daf5861d43ff0b65be49a441ab3f9 2025-10-10T01:41:00.8451173Z * [new tag] trunk/29824067215f3ed9e4044ca0f31a71e9d95f237d -> trunk/29824067215f3ed9e4044ca0f31a71e9d95f237d 2025-10-10T01:41:00.8453113Z * [new tag] trunk/2a11ce2c787b2339ffb8941b849dd487d25b4121 -> trunk/2a11ce2c787b2339ffb8941b849dd487d25b4121 2025-10-10T01:41:00.8454805Z * [new tag] trunk/2a6cdba6e5f74c2294fecc2d1344537522efbaab -> trunk/2a6cdba6e5f74c2294fecc2d1344537522efbaab 2025-10-10T01:41:00.8456824Z * [new tag] trunk/2a760dc51e04d65845440cc09e7016cfc74f9132 -> trunk/2a760dc51e04d65845440cc09e7016cfc74f9132 2025-10-10T01:41:00.8458467Z * [new tag] trunk/2a7c48675010056f23d62b5c6ecb318782801723 -> trunk/2a7c48675010056f23d62b5c6ecb318782801723 2025-10-10T01:41:00.8460323Z * [new tag] trunk/2b58adc3bdcf9476e1cef49ad965b7d3c7b9ac24 -> trunk/2b58adc3bdcf9476e1cef49ad965b7d3c7b9ac24 2025-10-10T01:41:00.8463737Z * [new tag] trunk/2b9ff9953523a2e916234c9197d946f4cff976c7 -> trunk/2b9ff9953523a2e916234c9197d946f4cff976c7 2025-10-10T01:41:00.8464758Z * [new tag] trunk/2c2e1268b7aae8ed610d12f2d38d39f8d93888a3 -> trunk/2c2e1268b7aae8ed610d12f2d38d39f8d93888a3 2025-10-10T01:41:00.8466310Z * [new tag] trunk/2c5ed6e7c067573b093725cd15d13812d9647562 -> trunk/2c5ed6e7c067573b093725cd15d13812d9647562 2025-10-10T01:41:00.8468023Z * [new tag] trunk/2d50678dcc7ab2da13a9bca6af8f2333e8970344 -> trunk/2d50678dcc7ab2da13a9bca6af8f2333e8970344 2025-10-10T01:41:00.8469795Z * [new tag] trunk/2e027e874232fefe7b1c56ce8aeb26c0e6b97f15 -> trunk/2e027e874232fefe7b1c56ce8aeb26c0e6b97f15 2025-10-10T01:41:00.8471627Z * [new tag] trunk/2e1742dd63c2168fd9649dbba96a95abf1f57cae -> trunk/2e1742dd63c2168fd9649dbba96a95abf1f57cae 2025-10-10T01:41:00.8473525Z * [new tag] trunk/2fe37b5fde392535a3238f975c93dd202cd3e24b -> trunk/2fe37b5fde392535a3238f975c93dd202cd3e24b 2025-10-10T01:41:00.8475486Z * [new tag] trunk/3040a5d294bd30d3938d0043a5d93d6c23264827 -> trunk/3040a5d294bd30d3938d0043a5d93d6c23264827 2025-10-10T01:41:00.8477275Z * [new tag] trunk/321e6026925f6b6e8a36e3a8b7c0295cd7541911 -> trunk/321e6026925f6b6e8a36e3a8b7c0295cd7541911 2025-10-10T01:41:00.8479452Z * [new tag] trunk/322091d8d8542a0cbff524306029bef4d7338747 -> trunk/322091d8d8542a0cbff524306029bef4d7338747 2025-10-10T01:41:00.8480588Z * [new tag] trunk/3288fbf374128610928e27d03615ac0d46a6ce14 -> trunk/3288fbf374128610928e27d03615ac0d46a6ce14 2025-10-10T01:41:00.8482579Z * [new tag] trunk/331191ce4b29b5d7d3bb7f0e7454ca70c06fbd26 -> trunk/331191ce4b29b5d7d3bb7f0e7454ca70c06fbd26 2025-10-10T01:41:00.8484405Z * [new tag] trunk/33b17bc619b044a0050797987efb8890d43319df -> trunk/33b17bc619b044a0050797987efb8890d43319df 2025-10-10T01:41:00.8486203Z * [new tag] trunk/34042a9145fe28033e7edb08f1fcf90ed197f4ac -> trunk/34042a9145fe28033e7edb08f1fcf90ed197f4ac 2025-10-10T01:41:00.8488131Z * [new tag] trunk/344e6365a0068c2d2847fcec0c55dd53291d475e -> trunk/344e6365a0068c2d2847fcec0c55dd53291d475e 2025-10-10T01:41:00.8489987Z * [new tag] trunk/34ac9b61cbfcf17328ccb8b729509829447fdddd -> trunk/34ac9b61cbfcf17328ccb8b729509829447fdddd 2025-10-10T01:41:00.8491850Z * [new tag] trunk/35c4130fd1358c98e12301ffa0f1b2294e0c795f -> trunk/35c4130fd1358c98e12301ffa0f1b2294e0c795f 2025-10-10T01:41:00.8493543Z * [new tag] trunk/35f66b83f89a571d0c0abe16c66a23120b92bdaf -> trunk/35f66b83f89a571d0c0abe16c66a23120b92bdaf 2025-10-10T01:41:00.8495309Z * [new tag] trunk/361c5d362c4ea1950e05116899cfcf753c345ebd -> trunk/361c5d362c4ea1950e05116899cfcf753c345ebd 2025-10-10T01:41:00.8497156Z * [new tag] trunk/37c6087334cce3ad4bc9838ea2ef63aba89f2253 -> trunk/37c6087334cce3ad4bc9838ea2ef63aba89f2253 2025-10-10T01:41:00.8498946Z * [new tag] trunk/3912ba3e940b9354622fa09b2ada677cd10723d8 -> trunk/3912ba3e940b9354622fa09b2ada677cd10723d8 2025-10-10T01:41:00.8500773Z * [new tag] trunk/39189592fd688979e56063430ed5a038d999908f -> trunk/39189592fd688979e56063430ed5a038d999908f 2025-10-10T01:41:00.8502823Z * [new tag] trunk/3924f784ba81f87fe09988d6fc9620b57e4d9f72 -> trunk/3924f784ba81f87fe09988d6fc9620b57e4d9f72 2025-10-10T01:41:00.8504691Z * [new tag] trunk/39b31a6bfde6e046383ae2b06fe0b68df5cdbdd2 -> trunk/39b31a6bfde6e046383ae2b06fe0b68df5cdbdd2 2025-10-10T01:41:00.8506276Z * [new tag] trunk/39c340ec9e2ee3011f1d260f581b5a95f3c99039 -> trunk/39c340ec9e2ee3011f1d260f581b5a95f3c99039 2025-10-10T01:41:00.8508060Z * [new tag] trunk/39d0c06ed0d7bc634d7f1a4e84b69f66d1ea0798 -> trunk/39d0c06ed0d7bc634d7f1a4e84b69f66d1ea0798 2025-10-10T01:41:00.8509835Z * [new tag] trunk/3c0577bd15778c96cecf0e7a5e5958d7fcab64f0 -> trunk/3c0577bd15778c96cecf0e7a5e5958d7fcab64f0 2025-10-10T01:41:00.8511636Z * [new tag] trunk/3c59351c6ea2fc29d346903e28e95c5f4d0ccdbb -> trunk/3c59351c6ea2fc29d346903e28e95c5f4d0ccdbb 2025-10-10T01:41:00.8513464Z * [new tag] trunk/3c5ca685d6f5b6f3971c0cd20a054aa355610419 -> trunk/3c5ca685d6f5b6f3971c0cd20a054aa355610419 2025-10-10T01:41:00.8515416Z * [new tag] trunk/3ca09d65f1bdf83142dc9fe47976227ae4a88e7b -> trunk/3ca09d65f1bdf83142dc9fe47976227ae4a88e7b 2025-10-10T01:41:00.8517667Z * [new tag] trunk/3cc8af2d67f42bf2a933796290446c5ab8978aac -> trunk/3cc8af2d67f42bf2a933796290446c5ab8978aac 2025-10-10T01:41:00.8519464Z * [new tag] trunk/3d1fa40ae1fee18ddf3dca89229e3ae828589e0c -> trunk/3d1fa40ae1fee18ddf3dca89229e3ae828589e0c 2025-10-10T01:41:00.8521222Z * [new tag] trunk/3d9d41c80168bcd3c569345a96682c42a5eba36a -> trunk/3d9d41c80168bcd3c569345a96682c42a5eba36a 2025-10-10T01:41:00.8523021Z * [new tag] trunk/3db21643417a04f6f2707a783ac32a538a98d53d -> trunk/3db21643417a04f6f2707a783ac32a538a98d53d 2025-10-10T01:41:00.8524882Z * [new tag] trunk/3ddf2018d0b7b4def0553dc092d928ef831a19c3 -> trunk/3ddf2018d0b7b4def0553dc092d928ef831a19c3 2025-10-10T01:41:00.8526678Z * [new tag] trunk/3e03deab6f3c268c85c8efd9546e28cdda0fa4cc -> trunk/3e03deab6f3c268c85c8efd9546e28cdda0fa4cc 2025-10-10T01:41:00.8528476Z * [new tag] trunk/3e0826c9d792ae87373dc0ff5d46c260020de29f -> trunk/3e0826c9d792ae87373dc0ff5d46c260020de29f 2025-10-10T01:41:00.8530287Z * [new tag] trunk/409aece3f9436a2f740f1b97f1243f738f6bbbf6 -> trunk/409aece3f9436a2f740f1b97f1243f738f6bbbf6 2025-10-10T01:41:00.8532063Z * [new tag] trunk/40b25578e4ecb7ef1c38201b3ce0014eb57c53eb -> trunk/40b25578e4ecb7ef1c38201b3ce0014eb57c53eb 2025-10-10T01:41:00.8533741Z * [new tag] trunk/412c6d28ec3869ef8ba962b290d755251e7cc3c1 -> trunk/412c6d28ec3869ef8ba962b290d755251e7cc3c1 2025-10-10T01:41:00.8535414Z * [new tag] trunk/415e641572473479fc9d9eaea12762e1a223a9e0 -> trunk/415e641572473479fc9d9eaea12762e1a223a9e0 2025-10-10T01:41:00.8537358Z * [new tag] trunk/41808b2ba9a61ab2f4c7af394c1668d09a4a0331 -> trunk/41808b2ba9a61ab2f4c7af394c1668d09a4a0331 2025-10-10T01:41:00.8539174Z * [new tag] trunk/4308b8a28fa332d23ad6d25a472559b354619131 -> trunk/4308b8a28fa332d23ad6d25a472559b354619131 2025-10-10T01:41:00.8541462Z * [new tag] trunk/43848b71d9af0223eafdd1755bf7444aafe9e993 -> trunk/43848b71d9af0223eafdd1755bf7444aafe9e993 2025-10-10T01:41:00.8542472Z * [new tag] trunk/43fc859625f9c0a794307b3ef30c26ab3fc2bfec -> trunk/43fc859625f9c0a794307b3ef30c26ab3fc2bfec 2025-10-10T01:41:00.8544592Z * [new tag] trunk/4412026949b562f940d4c24162de19d299725b62 -> trunk/4412026949b562f940d4c24162de19d299725b62 2025-10-10T01:41:00.8546516Z * [new tag] trunk/44a5d419935a77b3308f247279a457e6d0b9a292 -> trunk/44a5d419935a77b3308f247279a457e6d0b9a292 2025-10-10T01:41:00.8548359Z * [new tag] trunk/4661200125ba9c87aa7d54a55e585403b5ce5040 -> trunk/4661200125ba9c87aa7d54a55e585403b5ce5040 2025-10-10T01:41:00.8550586Z * [new tag] trunk/4691fe60700ac51a878775fd23a8f7c4548c6757 -> trunk/4691fe60700ac51a878775fd23a8f7c4548c6757 2025-10-10T01:41:00.8552513Z * [new tag] trunk/4725871a815fb880e89135a493c8c94ab9bbfece -> trunk/4725871a815fb880e89135a493c8c94ab9bbfece 2025-10-10T01:41:00.8554332Z * [new tag] trunk/47956196d99166fe9083beb2a52fd2e6c90b2011 -> trunk/47956196d99166fe9083beb2a52fd2e6c90b2011 2025-10-10T01:41:00.8556507Z * [new tag] trunk/483f4e0db91166128ad8922d86dc7222338d4ecc -> trunk/483f4e0db91166128ad8922d86dc7222338d4ecc 2025-10-10T01:41:00.8558300Z * [new tag] trunk/48b54b45d62af7ecafccc5afede04474cb236f1a -> trunk/48b54b45d62af7ecafccc5afede04474cb236f1a 2025-10-10T01:41:00.8560083Z * [new tag] trunk/49f7d8d19d24f616b11ef050535a211245aed649 -> trunk/49f7d8d19d24f616b11ef050535a211245aed649 2025-10-10T01:41:00.8561907Z * [new tag] trunk/4a0df39f814afad087e8b29dd2914a8b54567694 -> trunk/4a0df39f814afad087e8b29dd2914a8b54567694 2025-10-10T01:41:00.8563574Z * [new tag] trunk/4a6abba0d9fb3dc0f29b5efe527e26b2962caec1 -> trunk/4a6abba0d9fb3dc0f29b5efe527e26b2962caec1 2025-10-10T01:41:00.8565409Z * [new tag] trunk/4ab847bbc7ba09f29a4e81494e8a752dcb411117 -> trunk/4ab847bbc7ba09f29a4e81494e8a752dcb411117 2025-10-10T01:41:00.8566995Z * [new tag] trunk/4bcc05777e780e834d44a2d06dd5321daec316f0 -> trunk/4bcc05777e780e834d44a2d06dd5321daec316f0 2025-10-10T01:41:00.8568893Z * [new tag] trunk/4bd1505f849e701a8e54f9d185c23f13e7324498 -> trunk/4bd1505f849e701a8e54f9d185c23f13e7324498 2025-10-10T01:41:00.8570592Z * [new tag] trunk/4c0fec3e4dac35b9e9dec2beacfb5967906a4701 -> trunk/4c0fec3e4dac35b9e9dec2beacfb5967906a4701 2025-10-10T01:41:00.8572436Z * [new tag] trunk/4c3c0ef2f10415f5d5b13f1c842f91bb90ee91d3 -> trunk/4c3c0ef2f10415f5d5b13f1c842f91bb90ee91d3 2025-10-10T01:41:00.8574222Z * [new tag] trunk/4d7f9f3aed68729380730ed46e29ff2052f05b73 -> trunk/4d7f9f3aed68729380730ed46e29ff2052f05b73 2025-10-10T01:41:00.8576083Z * [new tag] trunk/50e077beaaf71798f870552f3849e4a52c784df5 -> trunk/50e077beaaf71798f870552f3849e4a52c784df5 2025-10-10T01:41:00.8578367Z * [new tag] trunk/5103ecc5d8f0cc90e686763652e2d84c22d83ca9 -> trunk/5103ecc5d8f0cc90e686763652e2d84c22d83ca9 2025-10-10T01:41:00.8579824Z * [new tag] trunk/5178d0a480f8f4e21da3757de455c8215b249ec5 -> trunk/5178d0a480f8f4e21da3757de455c8215b249ec5 2025-10-10T01:41:00.8581742Z * [new tag] trunk/5209c8ce0704f34ba4bd2a58c19877fbf6cf0392 -> trunk/5209c8ce0704f34ba4bd2a58c19877fbf6cf0392 2025-10-10T01:41:00.8583593Z * [new tag] trunk/5390324984c43f1214b8abf731ad495ba2df5341 -> trunk/5390324984c43f1214b8abf731ad495ba2df5341 2025-10-10T01:41:00.8585522Z * [new tag] trunk/53f5af8c924aba3c0fab1fabc6baf7d6affcb8a1 -> trunk/53f5af8c924aba3c0fab1fabc6baf7d6affcb8a1 2025-10-10T01:41:00.8587375Z * [new tag] trunk/54ae61c573e91fa2a2c6430435059e2d94ecba2e -> trunk/54ae61c573e91fa2a2c6430435059e2d94ecba2e 2025-10-10T01:41:00.8589307Z * [new tag] trunk/5656d45c8ff03cf20fd7d5098247c2250395af8a -> trunk/5656d45c8ff03cf20fd7d5098247c2250395af8a 2025-10-10T01:41:00.8590990Z * [new tag] trunk/56d66ac0d74f44d7b656757795142b5b9a1802a1 -> trunk/56d66ac0d74f44d7b656757795142b5b9a1802a1 2025-10-10T01:41:00.8592787Z * [new tag] trunk/5743d731c1de495ecf3bb03682a2dcbe207ca895 -> trunk/5743d731c1de495ecf3bb03682a2dcbe207ca895 2025-10-10T01:41:00.8594713Z * [new tag] trunk/5a1fbf45ad727353e367740ecd8825ca7ee857e9 -> trunk/5a1fbf45ad727353e367740ecd8825ca7ee857e9 2025-10-10T01:41:00.8596709Z * [new tag] trunk/5a66ff4915ecfd86f1a68e7862e5a2ad473e5a79 -> trunk/5a66ff4915ecfd86f1a68e7862e5a2ad473e5a79 2025-10-10T01:41:00.8598519Z * [new tag] trunk/5b0b4cda4aa03bee16ee67d9d36012a539df3c50 -> trunk/5b0b4cda4aa03bee16ee67d9d36012a539df3c50 2025-10-10T01:41:00.8600372Z * [new tag] trunk/5b8174bc286725f9326fba6dc0ef17c316486bbd -> trunk/5b8174bc286725f9326fba6dc0ef17c316486bbd 2025-10-10T01:41:00.8602192Z * [new tag] trunk/5ba11df4f871717818b88c4eab514d31286601d1 -> trunk/5ba11df4f871717818b88c4eab514d31286601d1 2025-10-10T01:41:00.8604092Z * [new tag] trunk/5c827a4133da69108338d0363bb7ad7f62803c40 -> trunk/5c827a4133da69108338d0363bb7ad7f62803c40 2025-10-10T01:41:00.8605872Z * [new tag] trunk/5d459dd6099ef94d33db9a6d36bcce9f742f1da1 -> trunk/5d459dd6099ef94d33db9a6d36bcce9f742f1da1 2025-10-10T01:41:00.8607777Z * [new tag] trunk/5d7360bb03355c89c0b956df0ab428f5a7b5c9f8 -> trunk/5d7360bb03355c89c0b956df0ab428f5a7b5c9f8 2025-10-10T01:41:00.8609816Z * [new tag] trunk/5dbae1eae26159058f6199fc68fe73fc0e5bef5f -> trunk/5dbae1eae26159058f6199fc68fe73fc0e5bef5f 2025-10-10T01:41:00.8611511Z * [new tag] trunk/5e47b4dd60ff9efb253286af5a2479d9d800ce6a -> trunk/5e47b4dd60ff9efb253286af5a2479d9d800ce6a 2025-10-10T01:41:00.8613386Z * [new tag] trunk/5ed4270440fd0b62d3aa14692f9e377a0061061e -> trunk/5ed4270440fd0b62d3aa14692f9e377a0061061e 2025-10-10T01:41:00.8615312Z * [new tag] trunk/5f18f240de43fc24481ead4d740dda64f174fa86 -> trunk/5f18f240de43fc24481ead4d740dda64f174fa86 2025-10-10T01:41:00.8617116Z * [new tag] trunk/5f775bdfb766d9a2717ffbb64f2a51e53cddc778 -> trunk/5f775bdfb766d9a2717ffbb64f2a51e53cddc778 2025-10-10T01:41:00.8618790Z * [new tag] trunk/600267ea56cafcf8f9a1150a4379184960a757b2 -> trunk/600267ea56cafcf8f9a1150a4379184960a757b2 2025-10-10T01:41:00.8620661Z * [new tag] trunk/600db525bdb5e76c12f30f271d969d43a7f8efef -> trunk/600db525bdb5e76c12f30f271d969d43a7f8efef 2025-10-10T01:41:00.8622707Z * [new tag] trunk/608792153f42254d2d2b5a87d524807a0c2724f1 -> trunk/608792153f42254d2d2b5a87d524807a0c2724f1 2025-10-10T01:41:00.8624501Z * [new tag] trunk/6389658ec6b1ea58cb1de032266d865eeb8d48e9 -> trunk/6389658ec6b1ea58cb1de032266d865eeb8d48e9 2025-10-10T01:41:00.8626391Z * [new tag] trunk/64108bdbed2f099d527060b4c9fdd5a11cad2afc -> trunk/64108bdbed2f099d527060b4c9fdd5a11cad2afc 2025-10-10T01:41:00.8628228Z * [new tag] trunk/65aa62d50d1c83aa1b46ed4d584f12f509bab1c4 -> trunk/65aa62d50d1c83aa1b46ed4d584f12f509bab1c4 2025-10-10T01:41:00.8630088Z * [new tag] trunk/65f10becdf21f3a0947a735904fcce876ce3c4b0 -> trunk/65f10becdf21f3a0947a735904fcce876ce3c4b0 2025-10-10T01:41:00.8631966Z * [new tag] trunk/660e369a68dd8be60ce4eb67c25191ea66efc303 -> trunk/660e369a68dd8be60ce4eb67c25191ea66efc303 2025-10-10T01:41:00.8633808Z * [new tag] trunk/68350660ee2db8c21c84527929b92de9f0bcc3e2 -> trunk/68350660ee2db8c21c84527929b92de9f0bcc3e2 2025-10-10T01:41:00.8635795Z * [new tag] trunk/6861a270624b44954826688f8dad668eb0154452 -> trunk/6861a270624b44954826688f8dad668eb0154452 2025-10-10T01:41:00.8637928Z * [new tag] trunk/6861fa43e5fee7fedc0213e352fa983edea8aa78 -> trunk/6861fa43e5fee7fedc0213e352fa983edea8aa78 2025-10-10T01:41:00.8639531Z * [new tag] trunk/688efd9741dbd18c176729aec3df7a73825f8463 -> trunk/688efd9741dbd18c176729aec3df7a73825f8463 2025-10-10T01:41:00.8641374Z * [new tag] trunk/6a09f9306cadd003b2e6abc3f6422a2d8607779b -> trunk/6a09f9306cadd003b2e6abc3f6422a2d8607779b 2025-10-10T01:41:00.8643583Z * [new tag] trunk/6a31f42da45c0f1cbdb021b3695f0e6388b8b532 -> trunk/6a31f42da45c0f1cbdb021b3695f0e6388b8b532 2025-10-10T01:41:00.8645383Z * [new tag] trunk/6a7f5c0d21a22959d014c8b06f3efe3408336aaf -> trunk/6a7f5c0d21a22959d014c8b06f3efe3408336aaf 2025-10-10T01:41:00.8647456Z * [new tag] trunk/6b768e1890a179122e91395c5532a382d69b96a0 -> trunk/6b768e1890a179122e91395c5532a382d69b96a0 2025-10-10T01:41:00.8649522Z * [new tag] trunk/6b7970192f5de47d29a4fe085f509389ac0bea7d -> trunk/6b7970192f5de47d29a4fe085f509389ac0bea7d 2025-10-10T01:41:00.8651246Z * [new tag] trunk/6bb021c12553755a4f64df0b60dc34b1efdb992b -> trunk/6bb021c12553755a4f64df0b60dc34b1efdb992b 2025-10-10T01:41:00.8653092Z * [new tag] trunk/6bb586eafd723d4972c729f37c14f27c88168adc -> trunk/6bb586eafd723d4972c729f37c14f27c88168adc 2025-10-10T01:41:00.8654919Z * [new tag] trunk/6c0125dbc0241aef962528651df4f67204a8b526 -> trunk/6c0125dbc0241aef962528651df4f67204a8b526 2025-10-10T01:41:00.8656885Z * [new tag] trunk/6c209bfc5c1e1e59e6a62f94151398d66164bb93 -> trunk/6c209bfc5c1e1e59e6a62f94151398d66164bb93 2025-10-10T01:41:00.8658896Z * [new tag] trunk/6c3c9414eb571b34ff0d932978e4733dbb08dc1d -> trunk/6c3c9414eb571b34ff0d932978e4733dbb08dc1d 2025-10-10T01:41:00.8660749Z * [new tag] trunk/6d27a8e5093ee2a21d44dceeeffcb272e6e0f655 -> trunk/6d27a8e5093ee2a21d44dceeeffcb272e6e0f655 2025-10-10T01:41:00.8662591Z * [new tag] trunk/702f6e703b1d3a942346848b65a9f2a37d12ae18 -> trunk/702f6e703b1d3a942346848b65a9f2a37d12ae18 2025-10-10T01:41:00.8664536Z * [new tag] trunk/7158aa22e8dc97fdc2657cf0d4cde34b277e7d9e -> trunk/7158aa22e8dc97fdc2657cf0d4cde34b277e7d9e 2025-10-10T01:41:00.8666334Z * [new tag] trunk/71aefd5595834dd97f38aa978ee32abbd13ac3d6 -> trunk/71aefd5595834dd97f38aa978ee32abbd13ac3d6 2025-10-10T01:41:00.8668262Z * [new tag] trunk/724463d5a2fba369cd14e89215b84d1b01435df7 -> trunk/724463d5a2fba369cd14e89215b84d1b01435df7 2025-10-10T01:41:00.8670441Z * [new tag] trunk/73adac05d13babb75410c3e033fdce57aa16881a -> trunk/73adac05d13babb75410c3e033fdce57aa16881a 2025-10-10T01:41:00.8672340Z * [new tag] trunk/7457d139c51124e5a31a6173f99f81f0deb52178 -> trunk/7457d139c51124e5a31a6173f99f81f0deb52178 2025-10-10T01:41:00.8674227Z * [new tag] trunk/746fe78ecd52f3e9cfddda41f0ac82dada7bdd0b -> trunk/746fe78ecd52f3e9cfddda41f0ac82dada7bdd0b 2025-10-10T01:41:00.8676172Z * [new tag] trunk/7614338b69481d702c9f084ac15d9109c7cd3ef0 -> trunk/7614338b69481d702c9f084ac15d9109c7cd3ef0 2025-10-10T01:41:00.8677922Z * [new tag] trunk/7617b113ad0045cdfe5cf1feb8efb634a41c6ce2 -> trunk/7617b113ad0045cdfe5cf1feb8efb634a41c6ce2 2025-10-10T01:41:00.8679771Z * [new tag] trunk/7a1ead755f2e2abe8be49a7a0fb88b6b13973147 -> trunk/7a1ead755f2e2abe8be49a7a0fb88b6b13973147 2025-10-10T01:41:00.8681635Z * [new tag] trunk/7b15534434aeaf59a4c9189f52b4ebd4a5d58803 -> trunk/7b15534434aeaf59a4c9189f52b4ebd4a5d58803 2025-10-10T01:41:00.8683497Z * [new tag] trunk/7b691546d2949790ffc8f6bd3c674faa6a46ff7c -> trunk/7b691546d2949790ffc8f6bd3c674faa6a46ff7c 2025-10-10T01:41:00.8685446Z * [new tag] trunk/7cfecd76b2141d81c90d722dc5e3262bdf7ea900 -> trunk/7cfecd76b2141d81c90d722dc5e3262bdf7ea900 2025-10-10T01:41:00.8687328Z * [new tag] trunk/7d570129e0cea8dd3de0175baff96723656ab8ab -> trunk/7d570129e0cea8dd3de0175baff96723656ab8ab 2025-10-10T01:41:00.8689230Z * [new tag] trunk/7e7ac2039d5d5f35373c4de6cdf0ccdee3734c7a -> trunk/7e7ac2039d5d5f35373c4de6cdf0ccdee3734c7a 2025-10-10T01:41:00.8690918Z * [new tag] trunk/7eb1eb4313cfa3db1beadc6d9d04ea6b76acc39c -> trunk/7eb1eb4313cfa3db1beadc6d9d04ea6b76acc39c 2025-10-10T01:41:00.8692620Z * [new tag] trunk/801e282f39e9ef4424dfd3ecfd2b550a44595229 -> trunk/801e282f39e9ef4424dfd3ecfd2b550a44595229 2025-10-10T01:41:00.8694497Z * [new tag] trunk/81994b08a078b30e076d408713f78c9bf4e329e7 -> trunk/81994b08a078b30e076d408713f78c9bf4e329e7 2025-10-10T01:41:00.8696248Z * [new tag] trunk/81dbeb06f4b3eb6c56625ec25d377eb7c7c6c573 -> trunk/81dbeb06f4b3eb6c56625ec25d377eb7c7c6c573 2025-10-10T01:41:00.8698623Z * [new tag] trunk/83458197d14921f797565135f0f45031c362338d -> trunk/83458197d14921f797565135f0f45031c362338d 2025-10-10T01:41:00.8700009Z * [new tag] trunk/83d71dfb2fd993a6242372b8123549acaa85ffdb -> trunk/83d71dfb2fd993a6242372b8123549acaa85ffdb 2025-10-10T01:41:00.8701857Z * [new tag] trunk/86474ce996d168b404592cbbdfcc30d6607c8bd4 -> trunk/86474ce996d168b404592cbbdfcc30d6607c8bd4 2025-10-10T01:41:00.8703924Z * [new tag] trunk/86c789849eac1f96d03cf273e7995dbc7d319c26 -> trunk/86c789849eac1f96d03cf273e7995dbc7d319c26 2025-10-10T01:41:00.8706077Z * [new tag] trunk/874efa2d72d83b00894097130f18062ce331a265 -> trunk/874efa2d72d83b00894097130f18062ce331a265 2025-10-10T01:41:00.8708253Z * [new tag] trunk/87c9fbda22c229d4e5512011e050efd6ffea1241 -> trunk/87c9fbda22c229d4e5512011e050efd6ffea1241 2025-10-10T01:41:00.8709267Z * [new tag] trunk/87eccf10e8484c9e59ef81ae7bdee68d3db4f605 -> trunk/87eccf10e8484c9e59ef81ae7bdee68d3db4f605 2025-10-10T01:41:00.8711310Z * [new tag] trunk/8c0bc879b97bc580aaa0777b2d266bdd068cb528 -> trunk/8c0bc879b97bc580aaa0777b2d266bdd068cb528 2025-10-10T01:41:00.8713237Z * [new tag] trunk/8c54101933bb7c6ed3f9c1a65629b7f30376f7e2 -> trunk/8c54101933bb7c6ed3f9c1a65629b7f30376f7e2 2025-10-10T01:41:00.8715217Z * [new tag] trunk/8ca986ee60febce075f9e3ff83726048cebbbf68 -> trunk/8ca986ee60febce075f9e3ff83726048cebbbf68 2025-10-10T01:41:00.8717201Z * [new tag] trunk/8d53d788fefc0370931063d91f0c342556c3cf4c -> trunk/8d53d788fefc0370931063d91f0c342556c3cf4c 2025-10-10T01:41:00.8719907Z * [new tag] trunk/8e1f409b8ccf64b2cf3933ece13587ad57e9d8a9 -> trunk/8e1f409b8ccf64b2cf3933ece13587ad57e9d8a9 2025-10-10T01:41:00.8721886Z * [new tag] trunk/8ec8c14aced9f3e7ff4ab663822bed792d6c34f4 -> trunk/8ec8c14aced9f3e7ff4ab663822bed792d6c34f4 2025-10-10T01:41:00.8723679Z * [new tag] trunk/8f54e27e5decf41222f5d744069eb6572dbf275f -> trunk/8f54e27e5decf41222f5d744069eb6572dbf275f 2025-10-10T01:41:00.8725629Z * [new tag] trunk/8f705d019a64b1ca882e043b3eb98559273a9e59 -> trunk/8f705d019a64b1ca882e043b3eb98559273a9e59 2025-10-10T01:41:00.8727571Z * [new tag] trunk/8f83b3e71cb2af6244971af59bfbb6e2abb55f24 -> trunk/8f83b3e71cb2af6244971af59bfbb6e2abb55f24 2025-10-10T01:41:00.8729440Z * [new tag] trunk/90b4e130d6871bee4e1f15bb8294c1bbbf8f4ba5 -> trunk/90b4e130d6871bee4e1f15bb8294c1bbbf8f4ba5 2025-10-10T01:41:00.8731145Z * [new tag] trunk/90c0825e2deb0a46faf5cc2deb7184f6f8ea7a6d -> trunk/90c0825e2deb0a46faf5cc2deb7184f6f8ea7a6d 2025-10-10T01:41:00.8732952Z * [new tag] trunk/91040f49348646d79c6cd3434c34860d25c2e47a -> trunk/91040f49348646d79c6cd3434c34860d25c2e47a 2025-10-10T01:41:00.8734663Z * [new tag] trunk/91b94842645c1a781ab169b0df718545901ebb01 -> trunk/91b94842645c1a781ab169b0df718545901ebb01 2025-10-10T01:41:00.8736652Z * [new tag] trunk/91c211fb8c8ec3065be2a18dfc399ce849ea83bf -> trunk/91c211fb8c8ec3065be2a18dfc399ce849ea83bf 2025-10-10T01:41:00.8738579Z * [new tag] trunk/91c4db76cbb82dfa46d937b8dce4c942eaf5e226 -> trunk/91c4db76cbb82dfa46d937b8dce4c942eaf5e226 2025-10-10T01:41:00.8740368Z * [new tag] trunk/93e833de0f987f66d8c93b76ffe6aad35b714231 -> trunk/93e833de0f987f66d8c93b76ffe6aad35b714231 2025-10-10T01:41:00.8742231Z * [new tag] trunk/94b1ec8c7c5cc63541325abc923973f2fc2ad094 -> trunk/94b1ec8c7c5cc63541325abc923973f2fc2ad094 2025-10-10T01:41:00.8744157Z * [new tag] trunk/955f21dc2c628e09e0d112b3db1ee928cd1da344 -> trunk/955f21dc2c628e09e0d112b3db1ee928cd1da344 2025-10-10T01:41:00.8746029Z * [new tag] trunk/9580539e2f73d68e89544c713ff460bea3038701 -> trunk/9580539e2f73d68e89544c713ff460bea3038701 2025-10-10T01:41:00.8747870Z * [new tag] trunk/95a053284cd28e8d52bd55049bd45aea47adba0c -> trunk/95a053284cd28e8d52bd55049bd45aea47adba0c 2025-10-10T01:41:00.8750267Z * [new tag] trunk/960c4b9937251da01ea588efff0fc06a34eac35b -> trunk/960c4b9937251da01ea588efff0fc06a34eac35b 2025-10-10T01:41:00.8751628Z * [new tag] trunk/96181d6f7619acf938dc743123326c6b5dd25284 -> trunk/96181d6f7619acf938dc743123326c6b5dd25284 2025-10-10T01:41:00.8753552Z * [new tag] trunk/9697a7ce9ea095e933658cfee13f9bbef272551a -> trunk/9697a7ce9ea095e933658cfee13f9bbef272551a 2025-10-10T01:41:00.8755519Z * [new tag] trunk/96d91da792d4b50930318ecdfb8b5b8190c467cd -> trunk/96d91da792d4b50930318ecdfb8b5b8190c467cd 2025-10-10T01:41:00.8757382Z * [new tag] trunk/97463d4cf3c125557ef23502772b12a67dac4dc7 -> trunk/97463d4cf3c125557ef23502772b12a67dac4dc7 2025-10-10T01:41:00.8759305Z * [new tag] trunk/97ca21106d0179f425fc752ec867fe11669c2834 -> trunk/97ca21106d0179f425fc752ec867fe11669c2834 2025-10-10T01:41:00.8761166Z * [new tag] trunk/98a081a24c22072362dc536afd39a469e28939d4 -> trunk/98a081a24c22072362dc536afd39a469e28939d4 2025-10-10T01:41:00.8763051Z * [new tag] trunk/9944cac6e6a95159744a775a8bef40d89eef0f03 -> trunk/9944cac6e6a95159744a775a8bef40d89eef0f03 2025-10-10T01:41:00.8764980Z * [new tag] trunk/9aa92f246fa5fe5cfda17970d41d167b19a0612a -> trunk/9aa92f246fa5fe5cfda17970d41d167b19a0612a 2025-10-10T01:41:00.8766835Z * [new tag] trunk/9d1ab4f4bb508a72c7f549f0b5219c4601944ba1 -> trunk/9d1ab4f4bb508a72c7f549f0b5219c4601944ba1 2025-10-10T01:41:00.8768664Z * [new tag] trunk/9eb89a4ad5965b97c54e498d71fc765c0059acef -> trunk/9eb89a4ad5965b97c54e498d71fc765c0059acef 2025-10-10T01:41:00.8770391Z * [new tag] trunk/9ec10dc26a81dc618ff435edd4ca4819245ecb0f -> trunk/9ec10dc26a81dc618ff435edd4ca4819245ecb0f 2025-10-10T01:41:00.8772328Z * [new tag] trunk/9ecd092bd98f43d1cd4acc88eed6cbc39e946dbe -> trunk/9ecd092bd98f43d1cd4acc88eed6cbc39e946dbe 2025-10-10T01:41:00.8774083Z * [new tag] trunk/9f5e1beaf3c9248a335d2448103240a463187eb5 -> trunk/9f5e1beaf3c9248a335d2448103240a463187eb5 2025-10-10T01:41:00.8776004Z * [new tag] trunk/9fc2c6446d394dd313ed71e9d1ffc4f7f3916423 -> trunk/9fc2c6446d394dd313ed71e9d1ffc4f7f3916423 2025-10-10T01:41:00.8777973Z * [new tag] trunk/9fff8155c362da777e7ce31b85fb2dc7cfced2d5 -> trunk/9fff8155c362da777e7ce31b85fb2dc7cfced2d5 2025-10-10T01:41:00.8779843Z * [new tag] trunk/a029675f6f0b9cf48eb7943d4be8169c67960a8e -> trunk/a029675f6f0b9cf48eb7943d4be8169c67960a8e 2025-10-10T01:41:00.8781657Z * [new tag] trunk/a11a66ef320938cd0fd72b44b2b572b06937e100 -> trunk/a11a66ef320938cd0fd72b44b2b572b06937e100 2025-10-10T01:41:00.8783544Z * [new tag] trunk/a2f29bcd6388acdc3202d8a90974c50ffb605104 -> trunk/a2f29bcd6388acdc3202d8a90974c50ffb605104 2025-10-10T01:41:00.8785437Z * [new tag] trunk/a34797e031727f6a01a2f13a66db2f7e1fcc05b6 -> trunk/a34797e031727f6a01a2f13a66db2f7e1fcc05b6 2025-10-10T01:41:00.8787297Z * [new tag] trunk/a4110fedcf72eaede76324bb5c21a76589d75849 -> trunk/a4110fedcf72eaede76324bb5c21a76589d75849 2025-10-10T01:41:00.8789104Z * [new tag] trunk/a43c4c3972a611db169dde2aed803b91fe78c081 -> trunk/a43c4c3972a611db169dde2aed803b91fe78c081 2025-10-10T01:41:00.8791372Z * [new tag] trunk/a57a14868dcfd9dabf9bd19b6b11f31967c80c87 -> trunk/a57a14868dcfd9dabf9bd19b6b11f31967c80c87 2025-10-10T01:41:00.8793303Z * [new tag] trunk/a6fa4f9c283971c0fb6f60a89674a1f35370ac79 -> trunk/a6fa4f9c283971c0fb6f60a89674a1f35370ac79 2025-10-10T01:41:00.8795402Z * [new tag] trunk/a753ffa9aff47e005c31d6bcbf5b6a61cc54afed -> trunk/a753ffa9aff47e005c31d6bcbf5b6a61cc54afed 2025-10-10T01:41:00.8797301Z * [new tag] trunk/a7fa1a91e386c7708e4c8747680911b0c3174a66 -> trunk/a7fa1a91e386c7708e4c8747680911b0c3174a66 2025-10-10T01:41:00.8799032Z * [new tag] trunk/a9a9a3438a374f96a308b707a1718036aaec790d -> trunk/a9a9a3438a374f96a308b707a1718036aaec790d 2025-10-10T01:41:00.8801397Z * [new tag] trunk/ab01a0d7d352e7fd07989b8d6bf035bf82aea74e -> trunk/ab01a0d7d352e7fd07989b8d6bf035bf82aea74e 2025-10-10T01:41:00.8802954Z * [new tag] trunk/ab94a0d544503b5c27e889b45e45ef8cf75c8183 -> trunk/ab94a0d544503b5c27e889b45e45ef8cf75c8183 2025-10-10T01:41:00.8807722Z * [new tag] trunk/abadea70f3eb5f2f764fd6448d42dd2c29fa28b3 -> trunk/abadea70f3eb5f2f764fd6448d42dd2c29fa28b3 2025-10-10T01:41:00.8809372Z * [new tag] trunk/ac08556f674259ff5b117964e300124e8a92d45b -> trunk/ac08556f674259ff5b117964e300124e8a92d45b 2025-10-10T01:41:00.8811260Z * [new tag] trunk/ac7b4e7fe4d233dcd7f6343d42b4fa3d64bce548 -> trunk/ac7b4e7fe4d233dcd7f6343d42b4fa3d64bce548 2025-10-10T01:41:00.8813123Z * [new tag] trunk/ac901bf79a2d78539ffec272bf32f4ae47035b23 -> trunk/ac901bf79a2d78539ffec272bf32f4ae47035b23 2025-10-10T01:41:00.8814994Z * [new tag] trunk/ad7b2bebc651c297d869f265deedef726bf17048 -> trunk/ad7b2bebc651c297d869f265deedef726bf17048 2025-10-10T01:41:00.8816870Z * [new tag] trunk/ae25ec569c614c2a2274837079578b71f3201a3b -> trunk/ae25ec569c614c2a2274837079578b71f3201a3b 2025-10-10T01:41:00.8819133Z * [new tag] trunk/aea57b3aa38a3d4a058e0a7eba08d0c6c28ed9c5 -> trunk/aea57b3aa38a3d4a058e0a7eba08d0c6c28ed9c5 2025-10-10T01:41:00.8820958Z * [new tag] trunk/aed5ed1076d3e73e0b6357dafac1002aa6a221e9 -> trunk/aed5ed1076d3e73e0b6357dafac1002aa6a221e9 2025-10-10T01:41:00.8822805Z * [new tag] trunk/aed66248a01d309eb2ac1149b5f51310545b0783 -> trunk/aed66248a01d309eb2ac1149b5f51310545b0783 2025-10-10T01:41:00.8824732Z * [new tag] trunk/af32d16a71681ca05c6d410fb1b9cee091d4577d -> trunk/af32d16a71681ca05c6d410fb1b9cee091d4577d 2025-10-10T01:41:00.8826572Z * [new tag] trunk/af40828bbb785f968eda18dbdc8750ba67f57366 -> trunk/af40828bbb785f968eda18dbdc8750ba67f57366 2025-10-10T01:41:00.8828457Z * [new tag] trunk/af4c29fea8f50ac3bb9e4a0e305da4a2c6b53d29 -> trunk/af4c29fea8f50ac3bb9e4a0e305da4a2c6b53d29 2025-10-10T01:41:00.8830265Z * [new tag] trunk/afee8062d511ad63e0af65ffac0e712d86aae8f1 -> trunk/afee8062d511ad63e0af65ffac0e712d86aae8f1 2025-10-10T01:41:00.8832136Z * [new tag] trunk/afeec56a5aa83dd0258565400551a99777c0023b -> trunk/afeec56a5aa83dd0258565400551a99777c0023b 2025-10-10T01:41:00.8834183Z * [new tag] trunk/b0985144b59db8fb20964829b5e0a9d2f9a3f0d6 -> trunk/b0985144b59db8fb20964829b5e0a9d2f9a3f0d6 2025-10-10T01:41:00.8836197Z * [new tag] trunk/b116c5133024be39a2db67cd0112b490b970b710 -> trunk/b116c5133024be39a2db67cd0112b490b970b710 2025-10-10T01:41:00.8838130Z * [new tag] trunk/b13cd141b3585c2ae89ad7747acd11203a2fb837 -> trunk/b13cd141b3585c2ae89ad7747acd11203a2fb837 2025-10-10T01:41:00.8839850Z * [new tag] trunk/b1ac252f55f4a4d0e5488fb2ac9154154decec87 -> trunk/b1ac252f55f4a4d0e5488fb2ac9154154decec87 2025-10-10T01:41:00.8842035Z * [new tag] trunk/b28b24a9fc7d391c5793a94489a3f2d5381f6ad7 -> trunk/b28b24a9fc7d391c5793a94489a3f2d5381f6ad7 2025-10-10T01:41:00.8843772Z * [new tag] trunk/b2b3947565fd0c27ebd4941152c964eab30370e2 -> trunk/b2b3947565fd0c27ebd4941152c964eab30370e2 2025-10-10T01:41:00.8845398Z * [new tag] trunk/b558c986e8ec693b531ad2817026393c55d72eb6 -> trunk/b558c986e8ec693b531ad2817026393c55d72eb6 2025-10-10T01:41:00.8847439Z * [new tag] trunk/b5e93ffdcf779c703af5c8119636b01f250eafcd -> trunk/b5e93ffdcf779c703af5c8119636b01f250eafcd 2025-10-10T01:41:00.8849191Z * [new tag] trunk/b63bbe16615cc7680836dbb151bd848bce4893d6 -> trunk/b63bbe16615cc7680836dbb151bd848bce4893d6 2025-10-10T01:41:00.8850902Z * [new tag] trunk/b6b7a44dec63495d57946cbfe8f2accb8f876db2 -> trunk/b6b7a44dec63495d57946cbfe8f2accb8f876db2 2025-10-10T01:41:00.8852684Z * [new tag] trunk/b9e73e639e36f3aa628752161711e68878231b30 -> trunk/b9e73e639e36f3aa628752161711e68878231b30 2025-10-10T01:41:00.8854654Z * [new tag] trunk/ba480d6bf78ea446d1268d9b5b3a0dbb490c9c88 -> trunk/ba480d6bf78ea446d1268d9b5b3a0dbb490c9c88 2025-10-10T01:41:00.8856420Z * [new tag] trunk/bac0f289a35f05052740076fc5671271a3d487c2 -> trunk/bac0f289a35f05052740076fc5671271a3d487c2 2025-10-10T01:41:00.8858268Z * [new tag] trunk/bc1690c7e859dee8c47a7f0bbd3c43cc27c6fd2a -> trunk/bc1690c7e859dee8c47a7f0bbd3c43cc27c6fd2a 2025-10-10T01:41:00.8859927Z * [new tag] trunk/bc33b10202fb7c3761bcabc166e02d96807d8739 -> trunk/bc33b10202fb7c3761bcabc166e02d96807d8739 2025-10-10T01:41:00.8861790Z * [new tag] trunk/bcafea5c92ca2ee1b0dc8f6d8b62ecabb6f40228 -> trunk/bcafea5c92ca2ee1b0dc8f6d8b62ecabb6f40228 2025-10-10T01:41:00.8863589Z * [new tag] trunk/bcd96cc6ff798281e66aabef6ce72542fdc97c7a -> trunk/bcd96cc6ff798281e66aabef6ce72542fdc97c7a 2025-10-10T01:41:00.8865456Z * [new tag] trunk/bd3b98a8a5d68ddc84b20a4609b9ea90998bf95b -> trunk/bd3b98a8a5d68ddc84b20a4609b9ea90998bf95b 2025-10-10T01:41:00.8867319Z * [new tag] trunk/bdc0a421d7bcc49db12f7593d2c213a6141da614 -> trunk/bdc0a421d7bcc49db12f7593d2c213a6141da614 2025-10-10T01:41:00.8869138Z * [new tag] trunk/bde18c445dcb1d83e8ea0afae52f9b9bf8171f45 -> trunk/bde18c445dcb1d83e8ea0afae52f9b9bf8171f45 2025-10-10T01:41:00.8870789Z * [new tag] trunk/bf717ce346203fc27e792f4bdcc31e979cd74fa9 -> trunk/bf717ce346203fc27e792f4bdcc31e979cd74fa9 2025-10-10T01:41:00.8873004Z * [new tag] trunk/c0510dc447a1f105cb8758d2721380f7a7c380d1 -> trunk/c0510dc447a1f105cb8758d2721380f7a7c380d1 2025-10-10T01:41:00.8875235Z * [new tag] trunk/c1f40d33c89b361a1edad17aa25cfff1ab4014fd -> trunk/c1f40d33c89b361a1edad17aa25cfff1ab4014fd 2025-10-10T01:41:00.8877182Z * [new tag] trunk/c32118dc3e50505fd285e6e448a90883fce11535 -> trunk/c32118dc3e50505fd285e6e448a90883fce11535 2025-10-10T01:41:00.8878970Z * [new tag] trunk/c45d56dd00546daa7d9044674233dba1ac7b6194 -> trunk/c45d56dd00546daa7d9044674233dba1ac7b6194 2025-10-10T01:41:00.8880801Z * [new tag] trunk/c6329524d8670d5f9295cddcf7ebc3040ed9179e -> trunk/c6329524d8670d5f9295cddcf7ebc3040ed9179e 2025-10-10T01:41:00.8882663Z * [new tag] trunk/c6a6c80a730ff4edaec0d2fc4a5ff9344edaed41 -> trunk/c6a6c80a730ff4edaec0d2fc4a5ff9344edaed41 2025-10-10T01:41:00.8884435Z * [new tag] trunk/c7b57d93490d83c9cf59908eb34754882664a1c2 -> trunk/c7b57d93490d83c9cf59908eb34754882664a1c2 2025-10-10T01:41:00.8886295Z * [new tag] trunk/c7e30ae4dd9a58ed4f4bcbdc6afc2249cac94f28 -> trunk/c7e30ae4dd9a58ed4f4bcbdc6afc2249cac94f28 2025-10-10T01:41:00.8888129Z * [new tag] trunk/c813617c53e6be91e77f47e9a3f713146d54f340 -> trunk/c813617c53e6be91e77f47e9a3f713146d54f340 2025-10-10T01:41:00.8890079Z * [new tag] trunk/c855f8632e331b51d60d5f1bcc59d3181cb4bc82 -> trunk/c855f8632e331b51d60d5f1bcc59d3181cb4bc82 2025-10-10T01:41:00.8892046Z * [new tag] trunk/c965d6dbb23a8b2338ffebf3f01c6f92ce5847d2 -> trunk/c965d6dbb23a8b2338ffebf3f01c6f92ce5847d2 2025-10-10T01:41:00.8893874Z * [new tag] trunk/cac5e13e1384900c5acc4938c33d6037a61850d5 -> trunk/cac5e13e1384900c5acc4938c33d6037a61850d5 2025-10-10T01:41:00.8895609Z * [new tag] trunk/cc71ab86a6985e85645424b727c766e031047ff6 -> trunk/cc71ab86a6985e85645424b727c766e031047ff6 2025-10-10T01:41:00.8897537Z * [new tag] trunk/cd62a73dcb13102069aa827a6657f62d88cce095 -> trunk/cd62a73dcb13102069aa827a6657f62d88cce095 2025-10-10T01:41:00.8899327Z * [new tag] trunk/cf0a00d4f38775e5a82a166e367f40383c606963 -> trunk/cf0a00d4f38775e5a82a166e367f40383c606963 2025-10-10T01:41:00.8901309Z * [new tag] trunk/cfc5cc17dc4fa6be41b4b31eb6e63d3863479452 -> trunk/cfc5cc17dc4fa6be41b4b31eb6e63d3863479452 2025-10-10T01:41:00.8903111Z * [new tag] trunk/cfd46d13e6e1308add3a9f287b4855ccc3f2e66c -> trunk/cfd46d13e6e1308add3a9f287b4855ccc3f2e66c 2025-10-10T01:41:00.8905399Z * [new tag] trunk/d1a62c80363cf769552453eed187e935f905737d -> trunk/d1a62c80363cf769552453eed187e935f905737d 2025-10-10T01:41:00.8907257Z * [new tag] trunk/d1cbb74fb16406488a174832e1b58b7c242f418d -> trunk/d1cbb74fb16406488a174832e1b58b7c242f418d 2025-10-10T01:41:00.8909138Z * [new tag] trunk/d386325ca9a142419f45b987391f4bb175dd7d0b -> trunk/d386325ca9a142419f45b987391f4bb175dd7d0b 2025-10-10T01:41:00.8911092Z * [new tag] trunk/d40a9bfb8da0dc1ac1e6e56b33a25979112874de -> trunk/d40a9bfb8da0dc1ac1e6e56b33a25979112874de 2025-10-10T01:41:00.8912924Z * [new tag] trunk/d4443840036a00a30afcf066cb23f4525e590809 -> trunk/d4443840036a00a30afcf066cb23f4525e590809 2025-10-10T01:41:00.8915344Z * [new tag] trunk/d4752bc7f6818a3df5356a9de61afe1d3e27ade9 -> trunk/d4752bc7f6818a3df5356a9de61afe1d3e27ade9 2025-10-10T01:41:00.8917271Z * [new tag] trunk/da49a57d3462332b26cb7ee58910b5bc67e5772c -> trunk/da49a57d3462332b26cb7ee58910b5bc67e5772c 2025-10-10T01:41:00.8919201Z * [new tag] trunk/da903b6a8be422529d47649e89c0d50bb95c37ca -> trunk/da903b6a8be422529d47649e89c0d50bb95c37ca 2025-10-10T01:41:00.8921126Z * [new tag] trunk/dca73982c53e9f99f96246b5d9ed9bab83c7423f -> trunk/dca73982c53e9f99f96246b5d9ed9bab83c7423f 2025-10-10T01:41:00.8922992Z * [new tag] trunk/ddf8de28c25944a58e739ba9996b06753e4199cc -> trunk/ddf8de28c25944a58e739ba9996b06753e4199cc 2025-10-10T01:41:00.8924877Z * [new tag] trunk/df640df68a5275684eaae3080a9c97a0c61469c8 -> trunk/df640df68a5275684eaae3080a9c97a0c61469c8 2025-10-10T01:41:00.8926704Z * [new tag] trunk/e09fb44ef177005c4a11c28be24781429d416a3e -> trunk/e09fb44ef177005c4a11c28be24781429d416a3e 2025-10-10T01:41:00.8928573Z * [new tag] trunk/e0cb1848d0fd9fb4467ad8b844c565aea5071838 -> trunk/e0cb1848d0fd9fb4467ad8b844c565aea5071838 2025-10-10T01:41:00.8930420Z * [new tag] trunk/e3ae80fc036da356e3748d134689741583552f09 -> trunk/e3ae80fc036da356e3748d134689741583552f09 2025-10-10T01:41:00.8932330Z * [new tag] trunk/e40fe634b1a7aa33e278b1404ee02dea12277080 -> trunk/e40fe634b1a7aa33e278b1404ee02dea12277080 2025-10-10T01:41:00.8934237Z * [new tag] trunk/e438db254602cf39ba536aed0590b4144c019ee8 -> trunk/e438db254602cf39ba536aed0590b4144c019ee8 2025-10-10T01:41:00.8936146Z * [new tag] trunk/e532f62e0d96e56cb28fa6a0ba6d981896a65d52 -> trunk/e532f62e0d96e56cb28fa6a0ba6d981896a65d52 2025-10-10T01:41:00.8938010Z * [new tag] trunk/e6d4b26776842307475b368db60e27ac1bcede86 -> trunk/e6d4b26776842307475b368db60e27ac1bcede86 2025-10-10T01:41:00.8939918Z * [new tag] trunk/e7ed1a00eb5510d1c7dccd17b5c0ebb54231284f -> trunk/e7ed1a00eb5510d1c7dccd17b5c0ebb54231284f 2025-10-10T01:41:00.8941890Z * [new tag] trunk/e7fd2969303ab931f5e5875eca676018e1acd089 -> trunk/e7fd2969303ab931f5e5875eca676018e1acd089 2025-10-10T01:41:00.8943689Z * [new tag] trunk/e89d12bf5d6b69c153cd000ef278fca59f03226d -> trunk/e89d12bf5d6b69c153cd000ef278fca59f03226d 2025-10-10T01:41:00.8945582Z * [new tag] trunk/e98c4e835b1db22092fc93b49d2cddd7b3537d1f -> trunk/e98c4e835b1db22092fc93b49d2cddd7b3537d1f 2025-10-10T01:41:00.8947434Z * [new tag] trunk/ea42517e454d2e47391646bbb897f5fc51147b9d -> trunk/ea42517e454d2e47391646bbb897f5fc51147b9d 2025-10-10T01:41:00.8949304Z * [new tag] trunk/eaa02655eabd24609744c2251ac40d39d86ebb39 -> trunk/eaa02655eabd24609744c2251ac40d39d86ebb39 2025-10-10T01:41:00.8951162Z * [new tag] trunk/eccf561326147894d57482a5aba7a2290005b257 -> trunk/eccf561326147894d57482a5aba7a2290005b257 2025-10-10T01:41:00.8953098Z * [new tag] trunk/ece5e0f01b68509342f85fa388ca61936dc18b20 -> trunk/ece5e0f01b68509342f85fa388ca61936dc18b20 2025-10-10T01:41:00.8955074Z * [new tag] trunk/ed2d514ad860229f6d364688f9db27dad034cd83 -> trunk/ed2d514ad860229f6d364688f9db27dad034cd83 2025-10-10T01:41:00.8957038Z * [new tag] trunk/ed6156e3ea334b9b8d395e5a9f76fa3ba7408c06 -> trunk/ed6156e3ea334b9b8d395e5a9f76fa3ba7408c06 2025-10-10T01:41:00.8958830Z * [new tag] trunk/ee5389d520844db36374e86c986b9ff8f47ac4bb -> trunk/ee5389d520844db36374e86c986b9ff8f47ac4bb 2025-10-10T01:41:00.8960697Z * [new tag] trunk/ee6a1ecb0a1035f068484c8fcfba44b2efc9e837 -> trunk/ee6a1ecb0a1035f068484c8fcfba44b2efc9e837 2025-10-10T01:41:00.8962654Z * [new tag] trunk/ef50c6e3e3d83bfd67e50930eea9a3a9db084061 -> trunk/ef50c6e3e3d83bfd67e50930eea9a3a9db084061 2025-10-10T01:41:00.8964576Z * [new tag] trunk/ef7e2ca77e3f554ced81eb614f15fb84249d4a7e -> trunk/ef7e2ca77e3f554ced81eb614f15fb84249d4a7e 2025-10-10T01:41:00.8966442Z * [new tag] trunk/f006aee601cb72077f4b1dbc3f7f0f685e57a1a9 -> trunk/f006aee601cb72077f4b1dbc3f7f0f685e57a1a9 2025-10-10T01:41:00.8968379Z * [new tag] trunk/f05e23e1bc1439e19145e43e8ffca0051cda2f33 -> trunk/f05e23e1bc1439e19145e43e8ffca0051cda2f33 2025-10-10T01:41:00.8970205Z * [new tag] trunk/f0c9f3bddbf7ad77d5d3a8803c23bb47bfb71d79 -> trunk/f0c9f3bddbf7ad77d5d3a8803c23bb47bfb71d79 2025-10-10T01:41:00.8972118Z * [new tag] trunk/f11ac803d73b90d7e1f7bde962b9afe6b5967eb7 -> trunk/f11ac803d73b90d7e1f7bde962b9afe6b5967eb7 2025-10-10T01:41:00.8973999Z * [new tag] trunk/f1229b6db946c290cc5bdea05dde69fc01e0bed0 -> trunk/f1229b6db946c290cc5bdea05dde69fc01e0bed0 2025-10-10T01:41:00.8975924Z * [new tag] trunk/f231be25c679adb47ac3e483dc68948e5ad137a4 -> trunk/f231be25c679adb47ac3e483dc68948e5ad137a4 2025-10-10T01:41:00.8977944Z * [new tag] trunk/f33201729416ed17467228e80b04d01d4d02b5f3 -> trunk/f33201729416ed17467228e80b04d01d4d02b5f3 2025-10-10T01:41:00.8979802Z * [new tag] trunk/f37a6523efe1b9bf7f6b5b5d0f36dc461a3fda2a -> trunk/f37a6523efe1b9bf7f6b5b5d0f36dc461a3fda2a 2025-10-10T01:41:00.8981699Z * [new tag] trunk/f39789cdabb6465f21666bd001829e1f7284d754 -> trunk/f39789cdabb6465f21666bd001829e1f7284d754 2025-10-10T01:41:00.8983576Z * [new tag] trunk/f3afbcf3407783e54ec2795b06ae744f645320ba -> trunk/f3afbcf3407783e54ec2795b06ae744f645320ba 2025-10-10T01:41:00.8985494Z * [new tag] trunk/f3e43ff2d73f375487b1b71483bbecb6cdad8920 -> trunk/f3e43ff2d73f375487b1b71483bbecb6cdad8920 2025-10-10T01:41:00.8987415Z * [new tag] trunk/f414aa8e0d17e8eff38a93cebd52436e53f50eba -> trunk/f414aa8e0d17e8eff38a93cebd52436e53f50eba 2025-10-10T01:41:00.8989247Z * [new tag] trunk/f465ea6752c91498de63eb57439a74f4836e568a -> trunk/f465ea6752c91498de63eb57439a74f4836e568a 2025-10-10T01:41:00.8991245Z * [new tag] trunk/f46bb04dcc37a9b394e414569aef8aef69f9bf53 -> trunk/f46bb04dcc37a9b394e414569aef8aef69f9bf53 2025-10-10T01:41:00.8992963Z * [new tag] trunk/f46ddb1e65b595c80f285dc42aa8549970736aae -> trunk/f46ddb1e65b595c80f285dc42aa8549970736aae 2025-10-10T01:41:00.8994964Z * [new tag] trunk/f4cf75688f0fd93466589addfb7d0ec33e46e3bf -> trunk/f4cf75688f0fd93466589addfb7d0ec33e46e3bf 2025-10-10T01:41:00.8996921Z * [new tag] trunk/f505caa71bd2e4d1e708e20a3665b834134e08fc -> trunk/f505caa71bd2e4d1e708e20a3665b834134e08fc 2025-10-10T01:41:00.8998788Z * [new tag] trunk/f5fd18f7e24378bd9eb91404f697f1c81a8187d5 -> trunk/f5fd18f7e24378bd9eb91404f697f1c81a8187d5 2025-10-10T01:41:00.9000618Z * [new tag] trunk/f6de195616432f42a545b98ea41cc816019d1c60 -> trunk/f6de195616432f42a545b98ea41cc816019d1c60 2025-10-10T01:41:00.9002651Z * [new tag] trunk/f6f76767563d4293a0f78551edf4675a5794c570 -> trunk/f6f76767563d4293a0f78551edf4675a5794c570 2025-10-10T01:41:00.9004634Z * [new tag] trunk/f7082e92b3635e89906fae514506152a2ec844a0 -> trunk/f7082e92b3635e89906fae514506152a2ec844a0 2025-10-10T01:41:00.9006441Z * [new tag] trunk/f713abab16cb98c15f486e9822dd261279cce252 -> trunk/f713abab16cb98c15f486e9822dd261279cce252 2025-10-10T01:41:00.9008317Z * [new tag] trunk/f76fdcaaf8b6d5f97c7f63705400ebed8984f869 -> trunk/f76fdcaaf8b6d5f97c7f63705400ebed8984f869 2025-10-10T01:41:00.9010125Z * [new tag] trunk/f79e212733ca89ce3cc99a3072e50351686e5568 -> trunk/f79e212733ca89ce3cc99a3072e50351686e5568 2025-10-10T01:41:00.9012153Z * [new tag] trunk/f7ad6dbad67161333a1473d1e0b478b7475a0ec1 -> trunk/f7ad6dbad67161333a1473d1e0b478b7475a0ec1 2025-10-10T01:41:00.9013985Z * [new tag] trunk/fa5306b4f5bea89d80b9f14926712119aab78161 -> trunk/fa5306b4f5bea89d80b9f14926712119aab78161 2025-10-10T01:41:00.9015921Z * [new tag] trunk/fac6f20ae3a68fa49e19571a1fc4bcdddbf87d80 -> trunk/fac6f20ae3a68fa49e19571a1fc4bcdddbf87d80 2025-10-10T01:41:00.9017795Z * [new tag] trunk/fac85fcfb5ad0e63438d808a2f9ba7ea2dff9ad4 -> trunk/fac85fcfb5ad0e63438d808a2f9ba7ea2dff9ad4 2025-10-10T01:41:00.9019658Z * [new tag] trunk/fd3e15c14f4fc474af610b482382a2c85729f50d -> trunk/fd3e15c14f4fc474af610b482382a2c85729f50d 2025-10-10T01:41:00.9021527Z * [new tag] trunk/fd4bde430a51e5f216295c950d962c6343119821 -> trunk/fd4bde430a51e5f216295c950d962c6343119821 2025-10-10T01:41:00.9023508Z * [new tag] trunk/fdc622b513610b53ddcdc0b40282df9beae369bd -> trunk/fdc622b513610b53ddcdc0b40282df9beae369bd 2025-10-10T01:41:00.9025433Z * [new tag] trunk/fdc8ccc5bc433478c2a114016e193f5665d1e370 -> trunk/fdc8ccc5bc433478c2a114016e193f5665d1e370 2025-10-10T01:41:00.9027304Z * [new tag] trunk/ff5faa744a52561f4c6a138089123fd8d41cab73 -> trunk/ff5faa744a52561f4c6a138089123fd8d41cab73 2025-10-10T01:41:00.9028840Z * [new tag] v0.1.1 -> v0.1.1 2025-10-10T01:41:00.9030585Z * [new tag] v0.1.10 -> v0.1.10 2025-10-10T01:41:00.9032315Z * [new tag] v0.1.11 -> v0.1.11 2025-10-10T01:41:00.9034065Z * [new tag] v0.1.12 -> v0.1.12 2025-10-10T01:41:00.9035854Z * [new tag] v0.1.2 -> v0.1.2 2025-10-10T01:41:00.9038004Z * [new tag] v0.1.3 -> v0.1.3 2025-10-10T01:41:00.9039252Z * [new tag] v0.1.4 -> v0.1.4 2025-10-10T01:41:00.9041066Z * [new tag] v0.1.5 -> v0.1.5 2025-10-10T01:41:00.9042783Z * [new tag] v0.1.6 -> v0.1.6 2025-10-10T01:41:00.9044434Z * [new tag] v0.1.7 -> v0.1.7 2025-10-10T01:41:00.9046072Z * [new tag] v0.1.8 -> v0.1.8 2025-10-10T01:41:00.9047930Z * [new tag] v0.1.9 -> v0.1.9 2025-10-10T01:41:00.9049528Z * [new tag] v0.2.0 -> v0.2.0 2025-10-10T01:41:00.9051263Z * [new tag] v0.3.0 -> v0.3.0 2025-10-10T01:41:00.9053083Z * [new tag] v0.3.1 -> v0.3.1 2025-10-10T01:41:00.9054840Z * [new tag] v0.4.0 -> v0.4.0 2025-10-10T01:41:00.9056577Z * [new tag] v0.4.1 -> v0.4.1 2025-10-10T01:41:00.9058440Z * [new tag] v1.0.0 -> v1.0.0 2025-10-10T01:41:00.9060241Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-10-10T01:41:00.9062008Z * [new tag] v1.0.1 -> v1.0.1 2025-10-10T01:41:00.9063811Z * [new tag] v1.0rc0 -> v1.0rc0 2025-10-10T01:41:00.9065344Z * [new tag] v1.0rc1 -> v1.0rc1 2025-10-10T01:41:00.9067100Z * [new tag] v1.1.0 -> v1.1.0 2025-10-10T01:41:00.9068847Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-10-10T01:41:00.9070823Z * [new tag] v1.10.0 -> v1.10.0 2025-10-10T01:41:00.9072631Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-10-10T01:41:00.9074406Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-10-10T01:41:00.9076114Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-10-10T01:41:00.9077921Z * [new tag] v1.10.1 -> v1.10.1 2025-10-10T01:41:00.9079547Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-10-10T01:41:00.9081100Z * [new tag] v1.10.2 -> v1.10.2 2025-10-10T01:41:00.9082716Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-10-10T01:41:00.9084531Z * [new tag] v1.11.0 -> v1.11.0 2025-10-10T01:41:00.9086251Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-10-10T01:41:00.9088151Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-10-10T01:41:00.9090003Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-10-10T01:41:00.9091806Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-10-10T01:41:00.9093618Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-10-10T01:41:00.9095132Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-10-10T01:41:00.9096663Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-10-10T01:41:00.9098543Z * [new tag] v1.12.0 -> v1.12.0 2025-10-10T01:41:00.9100260Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-10-10T01:41:00.9102018Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-10-10T01:41:00.9104471Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-10-10T01:41:00.9106182Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-10-10T01:41:00.9107766Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-10-10T01:41:00.9109559Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-10-10T01:41:00.9111121Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-10-10T01:41:00.9112649Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-10-10T01:41:00.9114174Z * [new tag] v1.12.1 -> v1.12.1 2025-10-10T01:41:00.9116701Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-10-10T01:41:00.9118474Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-10-10T01:41:00.9120319Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-10-10T01:41:00.9122252Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-10-10T01:41:00.9123636Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-10-10T01:41:00.9125469Z * [new tag] v1.13.0 -> v1.13.0 2025-10-10T01:41:00.9127205Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-10-10T01:41:00.9128887Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-10-10T01:41:00.9130594Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-10-10T01:41:00.9132629Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-10-10T01:41:00.9134199Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-10-10T01:41:00.9135832Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-10-10T01:41:00.9137663Z * [new tag] v1.13.1 -> v1.13.1 2025-10-10T01:41:00.9139254Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-10-10T01:41:00.9140965Z * [new tag] v1.2.0 -> v1.2.0 2025-10-10T01:41:00.9142699Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-10-10T01:41:00.9144526Z * [new tag] v1.3.0 -> v1.3.0 2025-10-10T01:41:00.9146324Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-10-10T01:41:00.9147858Z * [new tag] v1.3.1 -> v1.3.1 2025-10-10T01:41:00.9149551Z * [new tag] v1.4.0 -> v1.4.0 2025-10-10T01:41:00.9151323Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-10-10T01:41:00.9152856Z * [new tag] v1.4.1 -> v1.4.1 2025-10-10T01:41:00.9154744Z * [new tag] v1.5.0 -> v1.5.0 2025-10-10T01:41:00.9156693Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-10-10T01:41:00.9158506Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-10-10T01:41:00.9160360Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-10-10T01:41:00.9161992Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-10-10T01:41:00.9163527Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-10-10T01:41:00.9165464Z * [new tag] v1.5.1 -> v1.5.1 2025-10-10T01:41:00.9167004Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-10-10T01:41:00.9168546Z * [new tag] v1.6.0 -> v1.6.0 2025-10-10T01:41:00.9170328Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-10-10T01:41:00.9172146Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-10-10T01:41:00.9173988Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-10-10T01:41:00.9175731Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-10-10T01:41:00.9177484Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-10-10T01:41:00.9179191Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-10-10T01:41:00.9180740Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-10-10T01:41:00.9182554Z * [new tag] v1.7.0 -> v1.7.0 2025-10-10T01:41:00.9184275Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-10-10T01:41:00.9186236Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-10-10T01:41:00.9188052Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-10-10T01:41:00.9189541Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-10-10T01:41:00.9191432Z * [new tag] v1.7.1 -> v1.7.1 2025-10-10T01:41:00.9193436Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-10-10T01:41:00.9195302Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-10-10T01:41:00.9197055Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-10-10T01:41:00.9199029Z * [new tag] v1.8.0 -> v1.8.0 2025-10-10T01:41:00.9200120Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-10-10T01:41:00.9202542Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-10-10T01:41:00.9204164Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-10-10T01:41:00.9205727Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-10-10T01:41:00.9207308Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-10-10T01:41:00.9208863Z * [new tag] v1.8.1 -> v1.8.1 2025-10-10T01:41:00.9210710Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-10-10T01:41:00.9212228Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-10-10T01:41:00.9213814Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-10-10T01:41:00.9216083Z * [new tag] v1.8.2 -> v1.8.2 2025-10-10T01:41:00.9217580Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-10-10T01:41:00.9219391Z * [new tag] v1.9.0 -> v1.9.0 2025-10-10T01:41:00.9221219Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-10-10T01:41:00.9223068Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-10-10T01:41:00.9224865Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-10-10T01:41:00.9226440Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-10-10T01:41:00.9228672Z * [new tag] v1.9.1 -> v1.9.1 2025-10-10T01:41:00.9230660Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-10-10T01:41:00.9232227Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-10-10T01:41:00.9234064Z * [new tag] v2.0.0 -> v2.0.0 2025-10-10T01:41:00.9235902Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-10-10T01:41:00.9237704Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-10-10T01:41:00.9239582Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-10-10T01:41:00.9241293Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-10-10T01:41:00.9243146Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-10-10T01:41:00.9244668Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-10-10T01:41:00.9246558Z * [new tag] v2.0.1 -> v2.0.1 2025-10-10T01:41:00.9248476Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-10-10T01:41:00.9250016Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-10-10T01:41:00.9251723Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-10-10T01:41:00.9253270Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-10-10T01:41:00.9255628Z * [new tag] v2.1.0 -> v2.1.0 2025-10-10T01:41:00.9257338Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-10-10T01:41:00.9259163Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-10-10T01:41:00.9261006Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-10-10T01:41:00.9262884Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-10-10T01:41:00.9264692Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-10-10T01:41:00.9266474Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-10-10T01:41:00.9268137Z * [new tag] v2.1.1 -> v2.1.1 2025-10-10T01:41:00.9269923Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-10-10T01:41:00.9271730Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-10-10T01:41:00.9273590Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-10-10T01:41:00.9275567Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-10-10T01:41:00.9277372Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-10-10T01:41:00.9278941Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-10-10T01:41:00.9280693Z * [new tag] v2.1.2 -> v2.1.2 2025-10-10T01:41:00.9282572Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-10-10T01:41:00.9284395Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-10-10T01:41:00.9285939Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-10-10T01:41:00.9287819Z * [new tag] v2.2.0 -> v2.2.0 2025-10-10T01:41:00.9289605Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-10-10T01:41:00.9291326Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-10-10T01:41:00.9293024Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-10-10T01:41:00.9294816Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-10-10T01:41:00.9296595Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-10-10T01:41:00.9298416Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-10-10T01:41:00.9299930Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-10-10T01:41:00.9301522Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-10-10T01:41:00.9303453Z * [new tag] v2.2.1 -> v2.2.1 2025-10-10T01:41:00.9307878Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-10-10T01:41:00.9309361Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-10-10T01:41:00.9311033Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-10-10T01:41:00.9312548Z * [new tag] v2.2.2 -> v2.2.2 2025-10-10T01:41:00.9314502Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-10-10T01:41:00.9316200Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-10-10T01:41:00.9317715Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-10-10T01:41:00.9319629Z * [new tag] v2.3.0 -> v2.3.0 2025-10-10T01:41:00.9321342Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-10-10T01:41:00.9323185Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-10-10T01:41:00.9325092Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-10-10T01:41:00.9326612Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-10-10T01:41:00.9328421Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-10-10T01:41:00.9330273Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-10-10T01:41:00.9332123Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-10-10T01:41:00.9333987Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-10-10T01:41:00.9335445Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-10-10T01:41:00.9337229Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-10-10T01:41:00.9339017Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-10-10T01:41:00.9340565Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-10-10T01:41:00.9349766Z * [new tag] v2.3.1 -> v2.3.1 2025-10-10T01:41:00.9349979Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-10-10T01:41:00.9350124Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-10-10T01:41:00.9350268Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-10-10T01:41:00.9350405Z * [new tag] v2.4.0 -> v2.4.0 2025-10-10T01:41:00.9351171Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-10-10T01:41:00.9353148Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-10-10T01:41:00.9354977Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-10-10T01:41:00.9356758Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-10-10T01:41:00.9358581Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-10-10T01:41:00.9360353Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-10-10T01:41:00.9362142Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-10-10T01:41:00.9364013Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-10-10T01:41:00.9365897Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-10-10T01:41:00.9367403Z * [new tag] v2.4.1 -> v2.4.1 2025-10-10T01:41:00.9369259Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-10-10T01:41:00.9371049Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-10-10T01:41:00.9372964Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-10-10T01:41:00.9374731Z * [new tag] v2.5.0 -> v2.5.0 2025-10-10T01:41:00.9376530Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-10-10T01:41:00.9378118Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-10-10T01:41:00.9379908Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-10-10T01:41:00.9381665Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-10-10T01:41:00.9383437Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-10-10T01:41:00.9385279Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-10-10T01:41:00.9387186Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-10-10T01:41:00.9388922Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-10-10T01:41:00.9390817Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-10-10T01:41:00.9392600Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-10-10T01:41:00.9394196Z * [new tag] v2.5.1 -> v2.5.1 2025-10-10T01:41:00.9396000Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-10-10T01:41:00.9397388Z * [new tag] v2.6.0 -> v2.6.0 2025-10-10T01:41:00.9399245Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-10-10T01:41:00.9401123Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-10-10T01:41:00.9403002Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-10-10T01:41:00.9404905Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-10-10T01:41:00.9406902Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-10-10T01:41:00.9408843Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-10-10T01:41:00.9410642Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-10-10T01:41:00.9412553Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-10-10T01:41:00.9414315Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-10-10T01:41:00.9416508Z * [new tag] v2.7.0 -> v2.7.0 2025-10-10T01:41:00.9418097Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-10-10T01:41:00.9419644Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-10-10T01:41:00.9421981Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-10-10T01:41:00.9423898Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-10-10T01:41:00.9425659Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-10-10T01:41:00.9427532Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-10-10T01:41:00.9429231Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-10-10T01:41:00.9431061Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-10-10T01:41:00.9432862Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-10-10T01:41:00.9434760Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-10-10T01:41:00.9436374Z * [new tag] v2.7.1 -> v2.7.1 2025-10-10T01:41:00.9438304Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-10-10T01:41:00.9440091Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-10-10T01:41:00.9442009Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-10-10T01:41:00.9443883Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-10-10T01:41:00.9445791Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-10-10T01:41:00.9447382Z * [new tag] v2.8.0 -> v2.8.0 2025-10-10T01:41:00.9449191Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-10-10T01:41:00.9450948Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-10-10T01:41:00.9452891Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-10-10T01:41:00.9454716Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-10-10T01:41:00.9456541Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-10-10T01:41:00.9458427Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-10-10T01:41:00.9460683Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-10-10T01:41:00.9462505Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-10-10T01:41:00.9464349Z * [new tag] v2.9.0-rc1 -> v2.9.0-rc1 2025-10-10T01:41:00.9466421Z * [new tag] v2.9.0-rc2 -> v2.9.0-rc2 2025-10-10T01:41:00.9468275Z * [new tag] v2.9.0-rc3 -> v2.9.0-rc3 2025-10-10T01:41:00.9470151Z * [new tag] v2.9.0-rc4 -> v2.9.0-rc4 2025-10-10T01:41:00.9471806Z * [new tag] v2.9.0-rc5 -> v2.9.0-rc5 2025-10-10T01:41:00.9473880Z * [new tag] v2.9.0-rc6 -> v2.9.0-rc6 2025-10-10T01:41:00.9475712Z * [new tag] v2.9.0-rc7 -> v2.9.0-rc7 2025-10-10T01:41:00.9477763Z * [new tag] v2.9.0-rc8 -> v2.9.0-rc8 2025-10-10T01:41:00.9479331Z * [new tag] v2.9.0-rc9 -> v2.9.0-rc9 2025-10-10T01:41:00.9481803Z * [new tag] viable/strict/1759343184 -> viable/strict/1759343184 2025-10-10T01:41:00.9483588Z * [new tag] viable/strict/1759346540 -> viable/strict/1759346540 2025-10-10T01:41:00.9485095Z * [new tag] viable/strict/1759348181 -> viable/strict/1759348181 2025-10-10T01:41:00.9486832Z * [new tag] viable/strict/1759350324 -> viable/strict/1759350324 2025-10-10T01:41:00.9488535Z * [new tag] viable/strict/1759351793 -> viable/strict/1759351793 2025-10-10T01:41:00.9490420Z * [new tag] viable/strict/1759353844 -> viable/strict/1759353844 2025-10-10T01:41:00.9492039Z * [new tag] viable/strict/1759355374 -> viable/strict/1759355374 2025-10-10T01:41:00.9493599Z * [new tag] viable/strict/1759357472 -> viable/strict/1759357472 2025-10-10T01:41:00.9495350Z * [new tag] viable/strict/1759361002 -> viable/strict/1759361002 2025-10-10T01:41:00.9497552Z * [new tag] viable/strict/1759362585 -> viable/strict/1759362585 2025-10-10T01:41:00.9499484Z * [new tag] viable/strict/1759365359 -> viable/strict/1759365359 2025-10-10T01:41:00.9501290Z * [new tag] viable/strict/1759370089 -> viable/strict/1759370089 2025-10-10T01:41:00.9504413Z * [new tag] viable/strict/1759377554 -> viable/strict/1759377554 2025-10-10T01:41:00.9505887Z * [new tag] viable/strict/1759379133 -> viable/strict/1759379133 2025-10-10T01:41:00.9507643Z * [new tag] viable/strict/1759389871 -> viable/strict/1759389871 2025-10-10T01:41:00.9509317Z * [new tag] viable/strict/1759393562 -> viable/strict/1759393562 2025-10-10T01:41:00.9511048Z * [new tag] viable/strict/1759395076 -> viable/strict/1759395076 2025-10-10T01:41:00.9512792Z * [new tag] viable/strict/1759398579 -> viable/strict/1759398579 2025-10-10T01:41:00.9514514Z * [new tag] viable/strict/1759404142 -> viable/strict/1759404142 2025-10-10T01:41:00.9516361Z * [new tag] viable/strict/1759405773 -> viable/strict/1759405773 2025-10-10T01:41:00.9518084Z * [new tag] viable/strict/1759408041 -> viable/strict/1759408041 2025-10-10T01:41:00.9520291Z * [new tag] viable/strict/1759411593 -> viable/strict/1759411593 2025-10-10T01:41:00.9522039Z * [new tag] viable/strict/1759427395 -> viable/strict/1759427395 2025-10-10T01:41:00.9523784Z * [new tag] viable/strict/1759434582 -> viable/strict/1759434582 2025-10-10T01:41:00.9525537Z * [new tag] viable/strict/1759436720 -> viable/strict/1759436720 2025-10-10T01:41:00.9527301Z * [new tag] viable/strict/1759440219 -> viable/strict/1759440219 2025-10-10T01:41:00.9529000Z * [new tag] viable/strict/1759441948 -> viable/strict/1759441948 2025-10-10T01:41:00.9530781Z * [new tag] viable/strict/1759443860 -> viable/strict/1759443860 2025-10-10T01:41:00.9532490Z * [new tag] viable/strict/1759445377 -> viable/strict/1759445377 2025-10-10T01:41:00.9534355Z * [new tag] viable/strict/1759447415 -> viable/strict/1759447415 2025-10-10T01:41:00.9536104Z * [new tag] viable/strict/1759451750 -> viable/strict/1759451750 2025-10-10T01:41:00.9537818Z * [new tag] viable/strict/1759453910 -> viable/strict/1759453910 2025-10-10T01:41:00.9539538Z * [new tag] viable/strict/1759456483 -> viable/strict/1759456483 2025-10-10T01:41:00.9541339Z * [new tag] viable/strict/1759459279 -> viable/strict/1759459279 2025-10-10T01:41:00.9543056Z * [new tag] viable/strict/1759460742 -> viable/strict/1759460742 2025-10-10T01:41:00.9545005Z * [new tag] viable/strict/1759462025 -> viable/strict/1759462025 2025-10-10T01:41:00.9546742Z * [new tag] viable/strict/1759469086 -> viable/strict/1759469086 2025-10-10T01:41:00.9548459Z * [new tag] viable/strict/1759470581 -> viable/strict/1759470581 2025-10-10T01:41:00.9550192Z * [new tag] viable/strict/1759472786 -> viable/strict/1759472786 2025-10-10T01:41:00.9551917Z * [new tag] viable/strict/1759476294 -> viable/strict/1759476294 2025-10-10T01:41:00.9553625Z * [new tag] viable/strict/1759479963 -> viable/strict/1759479963 2025-10-10T01:41:00.9555731Z * [new tag] viable/strict/1759492177 -> viable/strict/1759492177 2025-10-10T01:41:00.9557322Z * [new tag] viable/strict/1759519278 -> viable/strict/1759519278 2025-10-10T01:41:00.9559131Z * [new tag] viable/strict/1759524580 -> viable/strict/1759524580 2025-10-10T01:41:00.9560849Z * [new tag] viable/strict/1759528193 -> viable/strict/1759528193 2025-10-10T01:41:00.9562612Z * [new tag] viable/strict/1759533797 -> viable/strict/1759533797 2025-10-10T01:41:00.9564381Z * [new tag] viable/strict/1759542780 -> viable/strict/1759542780 2025-10-10T01:41:00.9566130Z * [new tag] viable/strict/1759549779 -> viable/strict/1759549779 2025-10-10T01:41:00.9567814Z * [new tag] viable/strict/1759555455 -> viable/strict/1759555455 2025-10-10T01:41:00.9569618Z * [new tag] viable/strict/1759559176 -> viable/strict/1759559176 2025-10-10T01:41:00.9571332Z * [new tag] viable/strict/1759560629 -> viable/strict/1759560629 2025-10-10T01:41:00.9573061Z * [new tag] viable/strict/1759569848 -> viable/strict/1759569848 2025-10-10T01:41:00.9574823Z * [new tag] viable/strict/1759571382 -> viable/strict/1759571382 2025-10-10T01:41:00.9576539Z * [new tag] viable/strict/1759573474 -> viable/strict/1759573474 2025-10-10T01:41:00.9578261Z * [new tag] viable/strict/1759618187 -> viable/strict/1759618187 2025-10-10T01:41:00.9579999Z * [new tag] viable/strict/1759626742 -> viable/strict/1759626742 2025-10-10T01:41:00.9581797Z * [new tag] viable/strict/1759632427 -> viable/strict/1759632427 2025-10-10T01:41:00.9583454Z * [new tag] viable/strict/1759634971 -> viable/strict/1759634971 2025-10-10T01:41:00.9585254Z * [new tag] viable/strict/1759661382 -> viable/strict/1759661382 2025-10-10T01:41:00.9586990Z * [new tag] viable/strict/1759663294 -> viable/strict/1759663294 2025-10-10T01:41:00.9588722Z * [new tag] viable/strict/1759708178 -> viable/strict/1759708178 2025-10-10T01:41:00.9590416Z * [new tag] viable/strict/1759715695 -> viable/strict/1759715695 2025-10-10T01:41:00.9592163Z * [new tag] viable/strict/1759728293 -> viable/strict/1759728293 2025-10-10T01:41:00.9593911Z * [new tag] viable/strict/1759735513 -> viable/strict/1759735513 2025-10-10T01:41:00.9595824Z * [new tag] viable/strict/1759739177 -> viable/strict/1759739177 2025-10-10T01:41:00.9597672Z * [new tag] viable/strict/1759758635 -> viable/strict/1759758635 2025-10-10T01:41:00.9599535Z * [new tag] viable/strict/1759765784 -> viable/strict/1759765784 2025-10-10T01:41:00.9601138Z * [new tag] viable/strict/1759767948 -> viable/strict/1759767948 2025-10-10T01:41:00.9602974Z * [new tag] viable/strict/1759771461 -> viable/strict/1759771461 2025-10-10T01:41:00.9604886Z * [new tag] viable/strict/1759776706 -> viable/strict/1759776706 2025-10-10T01:41:00.9606601Z * [new tag] viable/strict/1759782317 -> viable/strict/1759782317 2025-10-10T01:41:00.9608211Z * [new tag] viable/strict/1759783777 -> viable/strict/1759783777 2025-10-10T01:41:00.9609901Z * [new tag] viable/strict/1759785815 -> viable/strict/1759785815 2025-10-10T01:41:00.9611506Z * [new tag] viable/strict/1759789459 -> viable/strict/1759789459 2025-10-10T01:41:00.9613131Z * [new tag] viable/strict/1759790974 -> viable/strict/1759790974 2025-10-10T01:41:00.9614891Z * [new tag] viable/strict/1759794583 -> viable/strict/1759794583 2025-10-10T01:41:00.9616583Z * [new tag] viable/strict/1759797408 -> viable/strict/1759797408 2025-10-10T01:41:00.9618354Z * [new tag] viable/strict/1759799518 -> viable/strict/1759799518 2025-10-10T01:41:00.9619851Z * [new tag] viable/strict/1759804909 -> viable/strict/1759804909 2025-10-10T01:41:00.9621421Z * [new tag] viable/strict/1759807643 -> viable/strict/1759807643 2025-10-10T01:41:00.9623106Z * [new tag] viable/strict/1759809089 -> viable/strict/1759809089 2025-10-10T01:41:00.9624723Z * [new tag] viable/strict/1759811145 -> viable/strict/1759811145 2025-10-10T01:41:00.9626369Z * [new tag] viable/strict/1759812581 -> viable/strict/1759812581 2025-10-10T01:41:00.9627993Z * [new tag] viable/strict/1759814683 -> viable/strict/1759814683 2025-10-10T01:41:00.9629616Z * [new tag] viable/strict/1759821889 -> viable/strict/1759821889 2025-10-10T01:41:00.9631805Z * [new tag] viable/strict/1759823376 -> viable/strict/1759823376 2025-10-10T01:41:00.9633430Z * [new tag] viable/strict/1759827107 -> viable/strict/1759827107 2025-10-10T01:41:00.9635170Z * [new tag] viable/strict/1759830577 -> viable/strict/1759830577 2025-10-10T01:41:00.9636856Z * [new tag] viable/strict/1759832720 -> viable/strict/1759832720 2025-10-10T01:41:00.9638487Z * [new tag] viable/strict/1759842063 -> viable/strict/1759842063 2025-10-10T01:41:00.9640113Z * [new tag] viable/strict/1759847121 -> viable/strict/1759847121 2025-10-10T01:41:00.9641763Z * [new tag] viable/strict/1759850721 -> viable/strict/1759850721 2025-10-10T01:41:00.9643412Z * [new tag] viable/strict/1759857870 -> viable/strict/1759857870 2025-10-10T01:41:00.9645042Z * [new tag] viable/strict/1759863143 -> viable/strict/1759863143 2025-10-10T01:41:00.9646659Z * [new tag] viable/strict/1759875874 -> viable/strict/1759875874 2025-10-10T01:41:00.9648403Z * [new tag] viable/strict/1759877385 -> viable/strict/1759877385 2025-10-10T01:41:00.9650042Z * [new tag] viable/strict/1759883801 -> viable/strict/1759883801 2025-10-10T01:41:00.9651727Z * [new tag] viable/strict/1759885922 -> viable/strict/1759885922 2025-10-10T01:41:00.9653337Z * [new tag] viable/strict/1759888488 -> viable/strict/1759888488 2025-10-10T01:41:00.9654963Z * [new tag] viable/strict/1759895471 -> viable/strict/1759895471 2025-10-10T01:41:00.9656649Z * [new tag] viable/strict/1759904803 -> viable/strict/1759904803 2025-10-10T01:41:00.9658249Z * [new tag] viable/strict/1759908300 -> viable/strict/1759908300 2025-10-10T01:41:00.9659982Z * [new tag] viable/strict/1759915520 -> viable/strict/1759915520 2025-10-10T01:41:00.9661628Z * [new tag] viable/strict/1759916978 -> viable/strict/1759916978 2025-10-10T01:41:00.9663295Z * [new tag] viable/strict/1759930024 -> viable/strict/1759930024 2025-10-10T01:41:00.9664969Z * [new tag] viable/strict/1759948122 -> viable/strict/1759948122 2025-10-10T01:41:00.9666614Z * [new tag] viable/strict/1759952983 -> viable/strict/1759952983 2025-10-10T01:41:00.9668368Z * [new tag] viable/strict/1759955121 -> viable/strict/1759955121 2025-10-10T01:41:00.9670002Z * [new tag] viable/strict/1759962298 -> viable/strict/1759962298 2025-10-10T01:41:00.9671629Z * [new tag] viable/strict/1759965837 -> viable/strict/1759965837 2025-10-10T01:41:00.9673272Z * [new tag] viable/strict/1759970213 -> viable/strict/1759970213 2025-10-10T01:41:00.9674982Z * [new tag] viable/strict/1759974894 -> viable/strict/1759974894 2025-10-10T01:41:00.9676704Z * [new tag] viable/strict/1759977763 -> viable/strict/1759977763 2025-10-10T01:41:00.9678432Z * [new tag] 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You can look around, make experimental 2025-10-10T01:41:02.8500299Z changes and commit them, and you can discard any commits you make in this 2025-10-10T01:41:02.8501011Z state without impacting any branches by switching back to a branch. 2025-10-10T01:41:02.8501318Z 2025-10-10T01:41:02.8501514Z If you want to create a new branch to retain commits you create, you may 2025-10-10T01:41:02.8501985Z do so (now or later) by using -c with the switch command. Example: 2025-10-10T01:41:02.8502250Z 2025-10-10T01:41:02.8502552Z git switch -c 2025-10-10T01:41:02.8502748Z 2025-10-10T01:41:02.8502863Z Or undo this operation with: 2025-10-10T01:41:02.8503041Z 2025-10-10T01:41:02.8503133Z git switch - 2025-10-10T01:41:02.8503271Z 2025-10-10T01:41:02.8503497Z Turn off this advice by setting config variable advice.detachedHead to false 2025-10-10T01:41:02.8503821Z 2025-10-10T01:41:02.8504946Z HEAD is now at 344e6365a00 [inductor][eazy] change how torch.use_deterministic_algorithms affect inductor (#164905) 2025-10-10T01:41:02.8683253Z ##[endgroup] 2025-10-10T01:41:02.8683692Z ##[group]Setting up auth for fetching submodules 2025-10-10T01:41:02.8689256Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-10-10T01:41:02.8750450Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-10-10T01:41:02.8786706Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-10-10T01:41:02.8828105Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-10-10T01:41:02.8860521Z ##[endgroup] 2025-10-10T01:41:02.8860960Z ##[group]Fetching submodules 2025-10-10T01:41:02.8863809Z [command]/usr/bin/git submodule sync --recursive 2025-10-10T01:41:02.9293769Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-10-10T01:41:02.9707023Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-10-10T01:41:02.9708882Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-10-10T01:41:02.9712496Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-10-10T01:41:02.9717020Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-10-10T01:41:02.9720758Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-10-10T01:41:02.9725092Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-10-10T01:41:02.9728903Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-10-10T01:41:02.9733090Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-10-10T01:41:02.9737406Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-10-10T01:41:02.9741511Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 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'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-10-10T01:41:02.9783966Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-10-10T01:41:02.9789014Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-10-10T01:41:02.9793887Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-10-10T01:41:02.9799299Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-10-10T01:41:02.9805165Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-10-10T01:41:02.9810323Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-10-10T01:41:02.9815558Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-10-10T01:41:02.9820994Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-10-10T01:41:02.9826403Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-10-10T01:41:02.9831949Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-10-10T01:41:02.9837765Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-10-10T01:41:02.9843786Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-10-10T01:41:02.9849952Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 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'/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-10-10T01:41:19.0099933Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-10-10T01:41:19.0100659Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-10-10T01:41:19.0101300Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-10-10T01:41:19.1094459Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-10-10T01:41:24.4369974Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-10-10T01:41:24.4587296Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-10-10T01:41:24.4763043Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-10-10T01:41:24.4904744Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-10-10T01:41:24.5256277Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-10-10T01:41:24.6231880Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-10-10T01:41:24.6892638Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-10-10T01:41:25.6621444Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-10-10T01:41:25.8608923Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-10-10T01:41:25.8635688Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-10-10T01:41:25.8672837Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-10-10T01:41:30.0446164Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-10-10T01:41:30.0772494Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-10-10T01:41:30.5311709Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-10-10T01:41:30.5901224Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-10-10T01:41:30.7086875Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-10-10T01:41:30.7642235Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-10-10T01:41:31.5701346Z Submodule path 'third_party/cutlass': checked out 'f3fde58372d33e9a5650ba7b80fc48b3b49d40c8' 2025-10-10T01:41:31.7659507Z Submodule path 'third_party/fbgemm': checked out '3cefe0564a8c3de514a152d40a2b4770f2ee5be0' 2025-10-10T01:41:31.7687061Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-10-10T01:41:31.7691022Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-10-10T01:41:31.7694818Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-10-10T01:41:31.7698783Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-10-10T01:41:31.7703376Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-10-10T01:41:31.7707682Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-10-10T01:41:31.7711825Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-10-10T01:41:31.7751744Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-10-10T01:41:33.1911312Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-10-10T01:41:33.1912150Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-10-10T01:41:33.1912946Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-10-10T01:41:33.2912513Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-10-10T01:41:36.0648200Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-10-10T01:41:36.1649347Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-10-10T01:41:40.0061643Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-10-10T01:41:40.4583555Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-10-10T01:41:40.5800457Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-10-10T01:41:41.3808107Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-10-10T01:41:41.4377083Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-10-10T01:41:41.4543990Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-10-10T01:41:41.5884792Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-10-10T01:41:41.6835339Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-10-10T01:41:41.6860663Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-10-10T01:41:41.6864352Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-10-10T01:41:41.6899560Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-10-10T01:41:45.4334934Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-10-10T01:41:45.7654594Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-10-10T01:41:46.4936426Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-10-10T01:41:46.6790345Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-10-10T01:41:46.7178749Z Submodule path 'third_party/fmt': checked out 'e424e3f2e607da02742f73db84873b8084fc714c' 2025-10-10T01:41:46.7671531Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-10-10T01:41:46.8027143Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341' 2025-10-10T01:41:46.8588408Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-10-10T01:41:46.8771433Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-10-10T01:41:46.8794627Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-10-10T01:41:46.8837055Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-10-10T01:42:02.4232931Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-10-10T01:42:02.4513705Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-10-10T01:42:02.5528681Z Submodule path 'third_party/kineto': checked out '001ba8eb519438592f79dbc8e86a349f5f6c6829' 2025-10-10T01:42:02.5553090Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-10-10T01:42:02.5557026Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-10-10T01:42:02.5560987Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-10-10T01:42:02.5597656Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-10-10T01:42:03.2962099Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-10-10T01:42:04.1401074Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-10-10T01:42:04.2495776Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1' 2025-10-10T01:42:04.2521366Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-10-10T01:42:04.2524157Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-10-10T01:42:04.2528136Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-10-10T01:42:04.2532287Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-10-10T01:42:04.2536497Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-10-10T01:42:04.2541010Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-10-10T01:42:04.2545416Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-10-10T01:42:04.2549803Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-10-10T01:42:04.2554507Z 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' 2025-10-10T01:42:04.2591059Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-10-10T01:42:05.8435688Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-10-10T01:42:05.8436874Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-10-10T01:42:05.8438085Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'... 2025-10-10T01:42:05.8439559Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-10-10T01:42:05.8441715Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-10-10T01:42:05.8442913Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-10-10T01:42:05.8530723Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-10-10T01:42:05.9532802Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-10-10T01:42:12.1687122Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-10-10T01:42:12.1940684Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-10-10T01:42:12.2406390Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-10-10T01:42:12.2600207Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-10-10T01:42:12.2623741Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-10-10T01:42:12.2659838Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-10-10T01:42:12.5787317Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-10-10T01:42:12.6041792Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-10-10T01:42:12.6603464Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-10-10T01:42:12.7867181Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-10-10T01:42:12.8095050Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-10-10T01:42:12.8340371Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a' 2025-10-10T01:42:12.8364952Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-10-10T01:42:12.8368404Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-10-10T01:42:12.8405116Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-10-10T01:42:14.9648600Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'... 2025-10-10T01:42:15.2567927Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159' 2025-10-10T01:42:15.3152443Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-10-10T01:42:15.3563531Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-10-10T01:42:15.4122231Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-10-10T01:42:15.4700195Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-10-10T01:42:15.5215176Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-10-10T01:42:15.6666054Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-10-10T01:42:16.2859250Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-10-10T01:42:16.2905914Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-10-10T01:42:16.2943118Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-10-10T01:42:17.5906800Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-10-10T01:42:17.6901377Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-10-10T01:42:17.6930845Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-10-10T01:42:17.6933988Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-10-10T01:42:17.6937622Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-10-10T01:42:17.6941885Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-10-10T01:42:17.6946386Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-10-10T01:42:17.6951022Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 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--recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-10-10T01:42:36.1840168Z Entering 'android/libs/fbjni' 2025-10-10T01:42:36.1900325Z Entering 'third_party/FP16' 2025-10-10T01:42:36.1962280Z Entering 'third_party/FXdiv' 2025-10-10T01:42:36.2024548Z Entering 'third_party/NNPACK' 2025-10-10T01:42:36.2086093Z Entering 'third_party/NVTX' 2025-10-10T01:42:36.2149444Z Entering 'third_party/VulkanMemoryAllocator' 2025-10-10T01:42:36.2213263Z Entering 'third_party/XNNPACK' 2025-10-10T01:42:36.2291082Z Entering 'third_party/aiter' 2025-10-10T01:42:36.2353907Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-10-10T01:42:36.2424119Z Entering 'third_party/benchmark' 2025-10-10T01:42:36.2484905Z Entering 'third_party/composable_kernel' 2025-10-10T01:42:36.2556322Z Entering 'third_party/cpp-httplib' 2025-10-10T01:42:36.2617808Z Entering 'third_party/cpuinfo' 2025-10-10T01:42:36.2680082Z Entering 'third_party/cudnn_frontend' 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Entering 'third_party/fmt' 2025-10-10T01:42:36.3647308Z Entering 'third_party/gemmlowp/gemmlowp' 2025-10-10T01:42:36.3708563Z Entering 'third_party/gloo' 2025-10-10T01:42:36.3770813Z Entering 'third_party/googletest' 2025-10-10T01:42:36.3832271Z Entering 'third_party/ideep' 2025-10-10T01:42:36.3891415Z Entering 'third_party/ideep/mkl-dnn' 2025-10-10T01:42:36.3963424Z Entering 'third_party/ittapi' 2025-10-10T01:42:36.4026872Z Entering 'third_party/kineto' 2025-10-10T01:42:36.4088899Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-10-10T01:42:36.4149038Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-10-10T01:42:36.4209786Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-10-10T01:42:36.4268842Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-10-10T01:42:36.4329450Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-10-10T01:42:36.4386046Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-10-10T01:42:36.4450770Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-10-10T01:42:36.4509103Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-10-10T01:42:36.4566811Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-10-10T01:42:36.4627671Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-10-10T01:42:36.4686660Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-10-10T01:42:36.4743545Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-10-10T01:42:36.4806896Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-10-10T01:42:36.4875719Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-10-10T01:42:36.4934339Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-10-10T01:42:36.4997602Z Entering 'third_party/kleidiai' 2025-10-10T01:42:36.5059555Z Entering 'third_party/mimalloc' 2025-10-10T01:42:36.5122133Z Entering 'third_party/nlohmann' 2025-10-10T01:42:36.5185322Z Entering 'third_party/onnx' 2025-10-10T01:42:36.5263421Z Entering 'third_party/onnx/third_party/pybind11' 2025-10-10T01:42:36.5332450Z Entering 'third_party/opentelemetry-cpp' 2025-10-10T01:42:36.5395004Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-10-10T01:42:36.5457210Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-10-10T01:42:36.5518817Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-10-10T01:42:36.5577679Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-10-10T01:42:36.5637611Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-10-10T01:42:36.5695227Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-10-10T01:42:36.5756898Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-10-10T01:42:36.5814518Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-10-10T01:42:36.5875088Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-10-10T01:42:36.5935687Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-10-10T01:42:36.6017726Z Entering 'third_party/pocketfft' 2025-10-10T01:42:36.6079178Z Entering 'third_party/protobuf' 2025-10-10T01:42:36.6141917Z Entering 'third_party/protobuf/third_party/benchmark' 2025-10-10T01:42:36.6201558Z Entering 'third_party/protobuf/third_party/googletest' 2025-10-10T01:42:36.6267724Z Entering 'third_party/psimd' 2025-10-10T01:42:36.6330628Z Entering 'third_party/pthreadpool' 2025-10-10T01:42:36.6392067Z Entering 'third_party/pybind11' 2025-10-10T01:42:36.6454853Z Entering 'third_party/python-peachpy' 2025-10-10T01:42:36.6516158Z Entering 'third_party/sleef' 2025-10-10T01:42:36.6577422Z Entering 'third_party/tensorpipe' 2025-10-10T01:42:36.6638951Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-10-10T01:42:36.6697059Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-10-10T01:42:36.6755447Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-10-10T01:42:36.6814481Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-10-10T01:42:36.6870770Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-10-10T01:42:36.6956629Z ##[endgroup] 2025-10-10T01:42:36.7006139Z [command]/usr/bin/git log -1 --format=%H 2025-10-10T01:42:36.7039058Z 344e6365a0068c2d2847fcec0c55dd53291d475e 2025-10-10T01:42:36.7164815Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-10-10T01:42:36.7165171Z cd "${GITHUB_WORKSPACE}" 2025-10-10T01:42:36.7165473Z # Clean stale submodule dirs 2025-10-10T01:42:36.7165784Z if [ -z "${NO_SUDO}" ]; then 2025-10-10T01:42:36.7166148Z  sudo git submodule foreach --recursive git clean -ffdx 2025-10-10T01:42:36.7166512Z else 2025-10-10T01:42:36.7166807Z  git submodule foreach --recursive git clean -ffdx 2025-10-10T01:42:36.7167148Z fi 2025-10-10T01:42:36.7178244Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:42:36.7178598Z env: 2025-10-10T01:42:36.7178820Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:42:36.7179080Z NO_SUDO: true 2025-10-10T01:42:36.7179301Z ##[endgroup] 2025-10-10T01:42:36.7616715Z Entering 'android/libs/fbjni' 2025-10-10T01:42:36.7664044Z Entering 'third_party/FP16' 2025-10-10T01:42:36.7713151Z Entering 'third_party/FXdiv' 2025-10-10T01:42:36.7759371Z Entering 'third_party/NNPACK' 2025-10-10T01:42:36.7810443Z Entering 'third_party/NVTX' 2025-10-10T01:42:36.7865252Z Entering 'third_party/VulkanMemoryAllocator' 2025-10-10T01:42:36.7914208Z Entering 'third_party/XNNPACK' 2025-10-10T01:42:36.8070565Z Entering 'third_party/aiter' 2025-10-10T01:42:36.8130103Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-10-10T01:42:36.8281667Z Entering 'third_party/benchmark' 2025-10-10T01:42:36.8330574Z Entering 'third_party/composable_kernel' 2025-10-10T01:42:36.8491109Z Entering 'third_party/cpp-httplib' 2025-10-10T01:42:36.8540827Z Entering 'third_party/cpuinfo' 2025-10-10T01:42:36.8593653Z Entering 'third_party/cudnn_frontend' 2025-10-10T01:42:36.8643830Z Entering 'third_party/cutlass' 2025-10-10T01:42:36.8778034Z Entering 'third_party/fbgemm' 2025-10-10T01:42:36.8860859Z Entering 'third_party/fbgemm/external/asmjit' 2025-10-10T01:42:36.8906288Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-10-10T01:42:36.9061278Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-10-10T01:42:36.9120742Z Entering 'third_party/fbgemm/external/cutlass' 2025-10-10T01:42:36.9255423Z Entering 'third_party/fbgemm/external/googletest' 2025-10-10T01:42:36.9302607Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-10-10T01:42:36.9345936Z Entering 'third_party/fbgemm/external/json' 2025-10-10T01:42:36.9414913Z Entering 'third_party/flash-attention' 2025-10-10T01:42:36.9471098Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-10-10T01:42:36.9605756Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-10-10T01:42:36.9725247Z Entering 'third_party/flatbuffers' 2025-10-10T01:42:36.9826783Z Entering 'third_party/fmt' 2025-10-10T01:42:36.9873105Z Entering 'third_party/gemmlowp/gemmlowp' 2025-10-10T01:42:36.9925228Z Entering 'third_party/gloo' 2025-10-10T01:42:36.9973654Z Entering 'third_party/googletest' 2025-10-10T01:42:37.0023363Z Entering 'third_party/ideep' 2025-10-10T01:42:37.0066393Z Entering 'third_party/ideep/mkl-dnn' 2025-10-10T01:42:37.0180775Z Entering 'third_party/ittapi' 2025-10-10T01:42:37.0229821Z Entering 'third_party/kineto' 2025-10-10T01:42:37.0284026Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-10-10T01:42:37.0337407Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-10-10T01:42:37.0401469Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-10-10T01:42:37.0448749Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-10-10T01:42:37.0494347Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-10-10T01:42:37.0535418Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-10-10T01:42:37.0581984Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-10-10T01:42:37.0627017Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-10-10T01:42:37.0675001Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-10-10T01:42:37.0730401Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-10-10T01:42:37.0773963Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-10-10T01:42:37.0818847Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-10-10T01:42:37.0884591Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-10-10T01:42:37.0942341Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-10-10T01:42:37.0987156Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-10-10T01:42:37.1037401Z Entering 'third_party/kleidiai' 2025-10-10T01:42:37.1091253Z Entering 'third_party/mimalloc' 2025-10-10T01:42:37.1142497Z Entering 'third_party/nlohmann' 2025-10-10T01:42:37.1208990Z Entering 'third_party/onnx' 2025-10-10T01:42:37.1670108Z Entering 'third_party/onnx/third_party/pybind11' 2025-10-10T01:42:37.1723817Z Entering 'third_party/opentelemetry-cpp' 2025-10-10T01:42:37.1801863Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-10-10T01:42:37.1846695Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-10-10T01:42:37.1895440Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-10-10T01:42:37.1939508Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-10-10T01:42:37.1998232Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-10-10T01:42:37.2043507Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-10-10T01:42:37.2087889Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-10-10T01:42:37.2132796Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-10-10T01:42:37.2199377Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-10-10T01:42:37.2250758Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-10-10T01:42:37.2604435Z Entering 'third_party/pocketfft' 2025-10-10T01:42:37.2652663Z Entering 'third_party/protobuf' 2025-10-10T01:42:37.2760935Z Entering 'third_party/protobuf/third_party/benchmark' 2025-10-10T01:42:37.2805115Z Entering 'third_party/protobuf/third_party/googletest' 2025-10-10T01:42:37.2862386Z Entering 'third_party/psimd' 2025-10-10T01:42:37.2909392Z Entering 'third_party/pthreadpool' 2025-10-10T01:42:37.2955286Z Entering 'third_party/pybind11' 2025-10-10T01:42:37.3006291Z Entering 'third_party/python-peachpy' 2025-10-10T01:42:37.3053734Z Entering 'third_party/sleef' 2025-10-10T01:42:37.3103460Z Entering 'third_party/tensorpipe' 2025-10-10T01:42:37.3152971Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-10-10T01:42:37.3200047Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-10-10T01:42:37.3243127Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-10-10T01:42:37.3291873Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-10-10T01:42:37.3334789Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-10-10T01:42:37.3509404Z Prepare all required actions 2025-10-10T01:42:37.3509900Z Getting action download info 2025-10-10T01:42:37.4987711Z ##[group]Run ./.github/actions/setup-linux 2025-10-10T01:42:37.4988014Z env: 2025-10-10T01:42:37.4988233Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:42:37.4988480Z ##[endgroup] 2025-10-10T01:42:37.5030096Z ##[group]Run set -euo pipefail 2025-10-10T01:42:37.5030413Z set -euo pipefail 2025-10-10T01:42:37.5030698Z function get_ec2_metadata() { 2025-10-10T01:42:37.5031050Z  # Pulled from instance metadata endpoint for EC2 2025-10-10T01:42:37.5031634Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-10-10T01:42:37.5032356Z  category=$1 2025-10-10T01:42:37.5032704Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-10-10T01:42:37.5033110Z  runner_name_str=i-0f168839050dd63cf 2025-10-10T01:42:37.5033473Z  if [[ -f /.inarc ]]; then 2025-10-10T01:42:37.5033812Z  echo "ARC Runner, no info on ec2 metadata" 2025-10-10T01:42:37.5034176Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-10-10T01:42:37.5034755Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-10-10T01:42:37.5035152Z  else 2025-10-10T01:42:37.5035924Z  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}" 2025-10-10T01:42:37.5036733Z  fi 2025-10-10T01:42:37.5036942Z } 2025-10-10T01:42:37.5037203Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-10-10T01:42:37.5037615Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-10-10T01:42:37.5038063Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-10-10T01:42:37.5038449Z echo "system info $(uname -a)" 2025-10-10T01:42:37.5048265Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:42:37.5048616Z env: 2025-10-10T01:42:37.5048833Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:42:37.5049083Z ##[endgroup] 2025-10-10T01:42:37.5230759Z ami-id: ami-08982f1c5bf93d976 2025-10-10T01:42:37.5359120Z instance-id: i-0f168839050dd63cf 2025-10-10T01:42:37.5518770Z instance-type: g5.4xlarge 2025-10-10T01:42:37.5535191Z system info Linux ip-10-0-9-26.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 2025-10-10T01:42:37.5563370Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-10-10T01:42:37.5563821Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-10-10T01:42:37.5573442Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:42:37.5573798Z env: 2025-10-10T01:42:37.5574019Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:42:37.5574271Z ##[endgroup] 2025-10-10T01:42:39.1715257Z Fri Oct 10 01:42:39 2025 2025-10-10T01:42:39.1715721Z +-----------------------------------------------------------------------------------------+ 2025-10-10T01:42:39.1716224Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-10-10T01:42:39.1716711Z +-----------------------------------------+------------------------+----------------------+ 2025-10-10T01:42:39.1717201Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-10-10T01:42:39.1717719Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-10-10T01:42:39.1718151Z | | | MIG M. | 2025-10-10T01:42:39.1718506Z |=========================================+========================+======================| 2025-10-10T01:42:39.1811846Z | 0 NVIDIA A10G Off | 00000000:00:1E.0 Off | 0 | 2025-10-10T01:42:39.1812734Z | 0% 24C P0 50W / 300W | 0MiB / 23028MiB | 3% Default | 2025-10-10T01:42:39.1813152Z | | | N/A | 2025-10-10T01:42:39.1813557Z +-----------------------------------------+------------------------+----------------------+ 2025-10-10T01:42:39.1813866Z 2025-10-10T01:42:39.1814131Z +-----------------------------------------------------------------------------------------+ 2025-10-10T01:42:39.1814612Z | Processes: | 2025-10-10T01:42:39.1815054Z | GPU GI CI PID Type Process name GPU Memory | 2025-10-10T01:42:39.1815775Z | ID ID Usage | 2025-10-10T01:42:39.1816281Z |=========================================================================================| 2025-10-10T01:42:39.1817668Z | No running processes found | 2025-10-10T01:42:39.1818325Z +-----------------------------------------------------------------------------------------+ 2025-10-10T01:42:39.6128030Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-10-10T01:42:39.6128880Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-10-10T01:42:39.6141506Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:42:39.6141861Z env: 2025-10-10T01:42:39.6142074Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:42:39.6142334Z ##[endgroup] 2025-10-10T01:42:39.6209696Z ##[group]Run if systemctl is-active --quiet docker; then 2025-10-10T01:42:39.6210109Z if systemctl is-active --quiet docker; then 2025-10-10T01:42:39.6210476Z  echo "Docker daemon is running..."; 2025-10-10T01:42:39.6210802Z else 2025-10-10T01:42:39.6211134Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-10-10T01:42:39.6211527Z fi 2025-10-10T01:42:39.6232672Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:42:39.6233028Z env: 2025-10-10T01:42:39.6233240Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:42:39.6233497Z ##[endgroup] 2025-10-10T01:42:39.6335245Z Docker daemon is running... 2025-10-10T01:42:39.6378854Z ##[group]Run nick-fields/retry@v3.0.0 2025-10-10T01:42:39.6379148Z with: 2025-10-10T01:42:39.6379346Z shell: bash 2025-10-10T01:42:39.6379555Z timeout_minutes: 5 2025-10-10T01:42:39.6379788Z max_attempts: 3 2025-10-10T01:42:39.6380016Z retry_wait_seconds: 30 2025-10-10T01:42:39.6382023Z command: AWS_ACCOUNT_ID=$(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 2025-10-10T01:42:39.6384011Z polling_interval_seconds: 1 2025-10-10T01:42:39.6384277Z warning_on_retry: true 2025-10-10T01:42:39.6384520Z continue_on_error: false 2025-10-10T01:42:39.6384758Z env: 2025-10-10T01:42:39.6384955Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:42:39.6385206Z AWS_RETRY_MODE: standard 2025-10-10T01:42:39.6385444Z AWS_MAX_ATTEMPTS: 5 2025-10-10T01:42:39.6385691Z AWS_DEFAULT_REGION: us-east-1 2025-10-10T01:42:39.6385951Z ##[endgroup] 2025-10-10T01:42:40.7947601Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-10-10T01:42:40.7948482Z Configure a credential helper to remove this warning. See 2025-10-10T01:42:40.7949027Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-10-10T01:42:40.7949392Z 2025-10-10T01:42:40.7949491Z Login Succeeded 2025-10-10T01:42:41.7235559Z Command completed after 1 attempt(s). 2025-10-10T01:42:41.7313031Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-10-10T01:42:41.7313531Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-10-10T01:42:41.7313969Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-10-10T01:42:41.7324257Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:42:41.7324614Z env: 2025-10-10T01:42:41.7324827Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:42:41.7325275Z ##[endgroup] 2025-10-10T01:42:41.7429838Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-10-10T01:42:41.7430375Z # ignore expansion of "docker ps -q" since it could be empty 2025-10-10T01:42:41.7430792Z # shellcheck disable=SC2046 2025-10-10T01:42:41.7431127Z docker stop $(docker ps -q) || true 2025-10-10T01:42:41.7431453Z # Prune all of the docker images 2025-10-10T01:42:41.7431765Z docker system prune -af 2025-10-10T01:42:41.7441102Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:42:41.7441486Z env: 2025-10-10T01:42:41.7441695Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:42:41.7441950Z ##[endgroup] 2025-10-10T01:42:41.7765047Z "docker stop" requires at least 1 argument. 2025-10-10T01:42:41.7765451Z See 'docker stop --help'. 2025-10-10T01:42:41.7765626Z 2025-10-10T01:42:41.7765798Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-10-10T01:42:41.7766053Z 2025-10-10T01:42:41.7766206Z Stop one or more running containers 2025-10-10T01:42:41.7957846Z Total reclaimed space: 0B 2025-10-10T01:42:41.8154240Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-10-10T01:42:41.8154788Z with: 2025-10-10T01:42:41.8155640Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac 2025-10-10T01:42:41.8156585Z use-custom-docker-registry: true 2025-10-10T01:42:41.8156891Z docker-build-dir: .ci/docker 2025-10-10T01:42:41.8157180Z docker-build-script: ./build.sh 2025-10-10T01:42:41.8157465Z working-directory: . 2025-10-10T01:42:41.8157799Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-10-10T01:42:41.8158298Z force-push: false 2025-10-10T01:42:41.8158524Z env: 2025-10-10T01:42:41.8158733Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:42:41.8158989Z ##[endgroup] 2025-10-10T01:42:41.8181861Z ##[group]Run set -ex 2025-10-10T01:42:41.8182168Z set -ex 2025-10-10T01:42:41.8182397Z  2025-10-10T01:42:41.8182804Z # If the docker build directory or the build script doesn't exist, the action will 2025-10-10T01:42:41.8183420Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-10-10T01:42:41.8183943Z # job could then download the pre-built image as usual 2025-10-10T01:42:41.8184572Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-10-10T01:42:41.8185168Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-10-10T01:42:41.8185485Z else 2025-10-10T01:42:41.8185747Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-10-10T01:42:41.8186163Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-10-10T01:42:41.8186546Z  2025-10-10T01:42:41.8187064Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-10-10T01:42:41.8187681Z  exit 0 2025-10-10T01:42:41.8187897Z fi 2025-10-10T01:42:41.8188110Z  2025-10-10T01:42:41.8188438Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-10-10T01:42:41.8188993Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-10-10T01:42:41.8189490Z  # use it as it is, but first let's extract the tag 2025-10-10T01:42:41.8189939Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-10-10T01:42:41.8190417Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-10-10T01:42:41.8190873Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-10-10T01:42:41.8191256Z else 2025-10-10T01:42:41.8191522Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-10-10T01:42:41.8192110Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-10-10T01:42:41.8192490Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-10-10T01:42:41.8192810Z  fi 2025-10-10T01:42:41.8193232Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-10-10T01:42:41.8193786Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-10-10T01:42:41.8194372Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-10-10T01:42:41.8195143Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-10-10T01:42:41.8195546Z fi 2025-10-10T01:42:41.8205052Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:42:41.8205399Z env: 2025-10-10T01:42:41.8205619Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:42:41.8205881Z REPO_NAME: pytorch 2025-10-10T01:42:41.8206934Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac 2025-10-10T01:42:41.8207858Z DOCKER_BUILD_DIR: .ci/docker 2025-10-10T01:42:41.8208137Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-10-10T01:42:41.8208504Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-10-10T01:42:41.8208893Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-10-10T01:42:41.8209181Z CUSTOM_TAG_PREFIX: 2025-10-10T01:42:41.8209417Z ##[endgroup] 2025-10-10T01:42:41.8240872Z + [[ -d .ci/docker ]] 2025-10-10T01:42:41.8241202Z + [[ -f .ci/docker/./build.sh ]] 2025-10-10T01:42:41.8241508Z + [[ true == \t\r\u\e ]] 2025-10-10T01:42:41.8241766Z + echo skip=false 2025-10-10T01:42:41.8242902Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac == *\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* ]] 2025-10-10T01:42:41.8250446Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac 2025-10-10T01:42:41.8251357Z ++ awk -F '[:,]' '{print $2}' 2025-10-10T01:42:41.8281611Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac 2025-10-10T01:42:41.8282690Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac 2025-10-10T01:42:41.8284005Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac 2025-10-10T01:42:41.8314788Z ##[group]Run set +e 2025-10-10T01:42:41.8315076Z set +e 2025-10-10T01:42:41.8315305Z set -x 2025-10-10T01:42:41.8315541Z  2025-10-10T01:42:41.8315749Z login() { 2025-10-10T01:42:41.8316205Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-10-10T01:42:41.8316686Z } 2025-10-10T01:42:41.8316900Z  2025-10-10T01:42:41.8317106Z retry () { 2025-10-10T01:42:41.8317383Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-10-10T01:42:41.8317686Z } 2025-10-10T01:42:41.8317899Z  2025-10-10T01:42:41.8318127Z retry login "${DOCKER_REGISTRY}" 2025-10-10T01:42:41.8318423Z  2025-10-10T01:42:41.8318646Z START_TIME=$(date +%s) 2025-10-10T01:42:41.8318939Z # Wait up to 120 minutes 2025-10-10T01:42:41.8319301Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-10-10T01:42:41.8319757Z  # Check if image already exists, if it does then skip building it 2025-10-10T01:42:41.8320223Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-10-10T01:42:41.8320757Z  exit 0 2025-10-10T01:42:41.8320991Z  fi 2025-10-10T01:42:41.8321206Z  2025-10-10T01:42:41.8321572Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-10-10T01:42:41.8322183Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-10-10T01:42:41.8322790Z  # latter, it will wait for the Docker images to become available before continuing 2025-10-10T01:42:41.8323277Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-10-10T01:42:41.8323656Z  # It's a Docker build job, let's build the image 2025-10-10T01:42:41.8323998Z  break 2025-10-10T01:42:41.8324232Z  else 2025-10-10T01:42:41.8324558Z  # It's a regular build job, wait for the image to become available 2025-10-10T01:42:41.8324939Z  sleep 300 2025-10-10T01:42:41.8325183Z  fi 2025-10-10T01:42:41.8325406Z done 2025-10-10T01:42:41.8325626Z  2025-10-10T01:42:41.8326123Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-10-10T01:42:41.8326653Z # be empty. The default action would be to continue rebuild the image 2025-10-10T01:42:41.8327132Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-10-10T01:42:41.8327558Z  # if we're on the base branch then use the parent commit 2025-10-10T01:42:41.8327938Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-10-10T01:42:41.8328237Z else 2025-10-10T01:42:41.8328554Z  # otherwise we're on a PR, so use the most recent base commit 2025-10-10T01:42:41.8329009Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-10-10T01:42:41.8329359Z fi 2025-10-10T01:42:41.8329566Z  2025-10-10T01:42:41.8329804Z if [[ -z "${MERGE_BASE}" ]]; then 2025-10-10T01:42:41.8330152Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-10-10T01:42:41.8330484Z  2025-10-10T01:42:41.8330913Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-10-10T01:42:41.8331465Z  exit 0 2025-10-10T01:42:41.8331684Z fi 2025-10-10T01:42:41.8331896Z  2025-10-10T01:42:41.8332195Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-10-10T01:42:41.8332810Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-10-10T01:42:41.8333348Z  exit 1 2025-10-10T01:42:41.8333581Z fi 2025-10-10T01:42:41.8333799Z  2025-10-10T01:42:41.8334143Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-10-10T01:42:41.8334749Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-10-10T01:42:41.8335298Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-10-10T01:42:41.8335929Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-10-10T01:42:41.8336626Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-10-10T01:42:41.8337047Z fi 2025-10-10T01:42:41.8337264Z  2025-10-10T01:42:41.8337531Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-10-10T01:42:41.8346632Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:42:41.8346992Z env: 2025-10-10T01:42:41.8347214Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:42:41.8347488Z DOCKER_BUILD_DIR: .ci/docker 2025-10-10T01:42:41.8347824Z BASE_REVISION: 344e6365a0068c2d2847fcec0c55dd53291d475e 2025-10-10T01:42:41.8348791Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac 2025-10-10T01:42:41.8350170Z DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac 2025-10-10T01:42:41.8350928Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-10-10T01:42:41.8351302Z DOCKER_PUSH: 2025-10-10T01:42:41.8351535Z ##[endgroup] 2025-10-10T01:42:41.8381270Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-10-10T01:42:41.8381691Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-10-10T01:42:41.8385116Z + aws ecr get-login-password --region us-east-1 2025-10-10T01:42:41.8386178Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-10-10T01:42:42.3588161Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-10-10T01:42:42.3588801Z Configure a credential helper to remove this warning. See 2025-10-10T01:42:42.3589326Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-10-10T01:42:42.3589712Z 2025-10-10T01:42:42.3590232Z Login Succeeded 2025-10-10T01:42:42.3616981Z ++ date +%s 2025-10-10T01:42:42.3633279Z + START_TIME=1760060562 2025-10-10T01:42:42.3637762Z ++ date +%s 2025-10-10T01:42:42.3651090Z + [[ 1760053362 -lt 1760060562 ]] 2025-10-10T01:42:42.3652421Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac 2025-10-10T01:42:42.6208247Z { 2025-10-10T01:42:42.6208976Z "schemaVersion": 2, 2025-10-10T01:42:42.6221310Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-10-10T01:42:42.6221792Z "config": { 2025-10-10T01:42:42.6222176Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-10-10T01:42:42.6222560Z "size": 31361, 2025-10-10T01:42:42.6222971Z "digest": 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"sha256:0a410380adff41d299b596a982b26597426a0aa9ef3db503ccef0dd5c8f97b5c" 2025-10-10T01:42:42.6365420Z }, 2025-10-10T01:42:42.6365608Z { 2025-10-10T01:42:42.6365916Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-10-10T01:42:42.6366290Z "size": 32, 2025-10-10T01:42:42.6366673Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-10-10T01:42:42.6367107Z } 2025-10-10T01:42:42.6367288Z ] 2025-10-10T01:42:42.6367468Z } 2025-10-10T01:42:42.6367673Z + exit 0 2025-10-10T01:42:42.6399099Z ##[group]Run set -eux 2025-10-10T01:42:42.6399378Z set -eux 2025-10-10T01:42:42.6399780Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-10-10T01:42:42.6401047Z 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 2025-10-10T01:42:42.6411344Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:42:42.6411715Z env: 2025-10-10T01:42:42.6411935Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:42:42.6412194Z ##[endgroup] 2025-10-10T01:42:42.6447882Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-10-10T01:42:42.6448431Z + jq --raw-output .SecretString 2025-10-10T01:42:42.6449328Z + jq -r .docker_hub_readonly_token 2025-10-10T01:42:42.6451139Z + docker login --username pytorchbot --password-stdin 2025-10-10T01:42:43.2186428Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-10-10T01:42:43.2187006Z Configure a credential helper to remove this warning. See 2025-10-10T01:42:43.2187541Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-10-10T01:42:43.2187905Z 2025-10-10T01:42:43.2188317Z Login Succeeded 2025-10-10T01:42:43.2283264Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-10-10T01:42:43.2283628Z tag=${ECR_DOCKER_IMAGE##*:} 2025-10-10T01:42:43.2284004Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-10-10T01:42:43.2293171Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:42:43.2293521Z env: 2025-10-10T01:42:43.2293737Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:42:43.2294618Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac 2025-10-10T01:42:43.2295514Z ##[endgroup] 2025-10-10T01:42:43.2329052Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac 2025-10-10T01:42:43.2376490Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-10-10T01:42:43.2376906Z with: 2025-10-10T01:42:43.2377730Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac 2025-10-10T01:42:43.2378711Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-10-10T01:42:43.2379088Z env: 2025-10-10T01:42:43.2379301Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:42:43.2379556Z ##[endgroup] 2025-10-10T01:42:43.2399407Z ##[group]Run set -x 2025-10-10T01:42:43.2399667Z set -x 2025-10-10T01:42:43.2399897Z set +e 2025-10-10T01:42:43.2400123Z  2025-10-10T01:42:43.2400328Z login() { 2025-10-10T01:42:43.2400773Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-10-10T01:42:43.2401256Z } 2025-10-10T01:42:43.2401466Z  2025-10-10T01:42:43.2401700Z retry () { 2025-10-10T01:42:43.2401967Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-10-10T01:42:43.2414168Z } 2025-10-10T01:42:43.2414468Z  2025-10-10T01:42:43.2414788Z retry login "${DOCKER_REGISTRY}" 2025-10-10T01:42:43.2415105Z  2025-10-10T01:42:43.2415588Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-10-10T01:42:43.2416244Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-10-10T01:42:43.2416585Z  2025-10-10T01:42:43.2416779Z set -e 2025-10-10T01:42:43.2417097Z # ignore output since only exit code is used for conditional 2025-10-10T01:42:43.2417538Z # only pull docker image if it's not available locally 2025-10-10T01:42:43.2418022Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-10-10T01:42:43.2418478Z  retry docker pull "${DOCKER_IMAGE}" 2025-10-10T01:42:43.2418763Z fi 2025-10-10T01:42:43.2427151Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:42:43.2427490Z env: 2025-10-10T01:42:43.2427699Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:42:43.2428555Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac 2025-10-10T01:42:43.2429527Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-10-10T01:42:43.2429896Z ##[endgroup] 2025-10-10T01:42:43.2458345Z + set +e 2025-10-10T01:42:43.2458659Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-10-10T01:42:43.2459060Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-10-10T01:42:43.2462484Z + aws ecr get-login-password --region us-east-1 2025-10-10T01:42:43.2464332Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-10-10T01:42:43.7625048Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-10-10T01:42:43.7625694Z Configure a credential helper to remove this warning. See 2025-10-10T01:42:43.7626298Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-10-10T01:42:43.7626754Z 2025-10-10T01:42:43.7627052Z Login Succeeded 2025-10-10T01:42:43.7658827Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac 2025-10-10T01:42:43.7660251Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-10-10T01:42:44.0019983Z + IMAGE_SIZE=36834.58691596985 2025-10-10T01:42:44.0020356Z + echo 'Compressed size of image in MB: 36834.58691596985' 2025-10-10T01:42:44.0020700Z + set -e 2025-10-10T01:42:44.0020965Z Compressed size of image in MB: 36834.58691596985 2025-10-10T01:42:44.0022282Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac 2025-10-10T01:42:44.0179130Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac 2025-10-10T01:42:44.0180668Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac 2025-10-10T01:42:44.2480105Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac: Pulling from pytorch/ci-image 2025-10-10T01:42:44.2481370Z 828c1365039a: Pulling fs layer 2025-10-10T01:42:44.2481736Z 69d243ff864c: Pulling fs layer 2025-10-10T01:42:44.2482023Z 78ba0ed32317: Pulling fs layer 2025-10-10T01:42:44.2482417Z b90c3b3c4272: Pulling fs layer 2025-10-10T01:42:44.2482840Z 363624eaed4c: Pulling fs layer 2025-10-10T01:42:44.2483182Z 7fa6a8e133d3: Pulling fs layer 2025-10-10T01:42:44.2483512Z f69870976e0e: Pulling fs layer 2025-10-10T01:42:44.2483777Z ab27bfcc8162: Pulling fs layer 2025-10-10T01:42:44.2484080Z 87b62afc67b6: Pulling fs layer 2025-10-10T01:42:44.2484404Z dc073154d9c5: Pulling fs layer 2025-10-10T01:42:44.2484672Z 4018de3a3c74: Pulling fs layer 2025-10-10T01:42:44.2484995Z 2bf44e3b6145: Pulling fs layer 2025-10-10T01:42:44.2485338Z 93b3bac3ce2b: Pulling fs layer 2025-10-10T01:42:44.2485608Z aed496efbade: Pulling fs layer 2025-10-10T01:42:44.2485931Z 4f4fb700ef54: Pulling fs layer 2025-10-10T01:42:44.2486341Z 363624eaed4c: Waiting 2025-10-10T01:42:44.2486683Z 7731405386c0: Pulling fs layer 2025-10-10T01:42:44.2487037Z dc073154d9c5: Waiting 2025-10-10T01:42:44.2487358Z 4018de3a3c74: Waiting 2025-10-10T01:42:44.2487695Z ab27bfcc8162: Waiting 2025-10-10T01:42:44.2488025Z 407bccfc3793: Pulling fs layer 2025-10-10T01:42:44.2488284Z 7fa6a8e133d3: Waiting 2025-10-10T01:42:44.2488601Z 462a6bb8f191: Pulling fs layer 2025-10-10T01:42:44.2488907Z 8bd271c90fea: Pulling fs layer 2025-10-10T01:42:44.2489203Z b90c3b3c4272: Waiting 2025-10-10T01:42:44.2489528Z dc754b03c3c2: Pulling fs layer 2025-10-10T01:42:44.2489789Z 87b62afc67b6: Waiting 2025-10-10T01:42:44.2490040Z ca310071139f: Pulling fs layer 2025-10-10T01:42:44.2490390Z 7a01bc20dc6e: Pulling fs layer 2025-10-10T01:42:44.2490665Z 6fa608940e65: Pulling fs layer 2025-10-10T01:42:44.2490927Z 93b3bac3ce2b: Waiting 2025-10-10T01:42:44.2491236Z 7731405386c0: Waiting 2025-10-10T01:42:44.2491486Z 9dc7c4a0462e: Pulling fs layer 2025-10-10T01:42:44.2491830Z 407bccfc3793: Waiting 2025-10-10T01:42:44.2492180Z 78ef4918a2f2: Pulling fs layer 2025-10-10T01:42:44.2492450Z 462a6bb8f191: Waiting 2025-10-10T01:42:44.2492769Z 90150cb34e8c: Pulling fs layer 2025-10-10T01:42:44.2493103Z f0ad51840361: Pulling fs layer 2025-10-10T01:42:44.2493362Z 8bd271c90fea: Waiting 2025-10-10T01:42:44.2493602Z ca310071139f: Waiting 2025-10-10T01:42:44.2493848Z dc754b03c3c2: Waiting 2025-10-10T01:42:44.2494092Z 7a01bc20dc6e: Waiting 2025-10-10T01:42:44.2494321Z 9dc7c4a0462e: Waiting 2025-10-10T01:42:44.2494568Z 9c52f7125476: Pulling fs layer 2025-10-10T01:42:44.2494834Z 4f4fb700ef54: Waiting 2025-10-10T01:42:44.2495076Z 78ef4918a2f2: Waiting 2025-10-10T01:42:44.2495315Z 10c9d51e52c6: Pulling fs layer 2025-10-10T01:42:44.2495580Z f0ad51840361: Waiting 2025-10-10T01:42:44.2496116Z f69870976e0e: Waiting 2025-10-10T01:42:44.2496349Z 9c52f7125476: Waiting 2025-10-10T01:42:44.2496589Z 5213af4c4b0a: Pulling fs layer 2025-10-10T01:42:44.2496865Z 3d56e88fe331: Pulling fs layer 2025-10-10T01:42:44.2497138Z 449f7fad9c26: Pulling fs layer 2025-10-10T01:42:44.2497393Z 6fa608940e65: Waiting 2025-10-10T01:42:44.2497650Z 10c9d51e52c6: Waiting 2025-10-10T01:42:44.2497995Z 15415c5575b6: Pulling fs layer 2025-10-10T01:42:44.2498383Z 1a3f2733073d: Pulling fs layer 2025-10-10T01:42:44.2498772Z 57608a26c640: Pulling fs layer 2025-10-10T01:42:44.2499175Z 2bf44e3b6145: Waiting 2025-10-10T01:42:44.2499786Z 3bc5bbef02ed: Pulling fs layer 2025-10-10T01:42:44.2500168Z 3d56e88fe331: Waiting 2025-10-10T01:42:44.2500459Z 15415c5575b6: Waiting 2025-10-10T01:42:44.2500682Z 1a3f2733073d: Waiting 2025-10-10T01:42:44.2500905Z 90150cb34e8c: Waiting 2025-10-10T01:42:44.2501142Z 0127e163f43c: Pulling fs layer 2025-10-10T01:42:44.2501385Z 57608a26c640: Waiting 2025-10-10T01:42:44.2501608Z 449f7fad9c26: Waiting 2025-10-10T01:42:44.2501858Z f4a18cd9cea4: Pulling fs layer 2025-10-10T01:42:44.2503261Z 8ab01ae9dcb3: Pulling fs layer 2025-10-10T01:42:44.2503657Z 5213af4c4b0a: Waiting 2025-10-10T01:42:44.2504004Z 0127e163f43c: Waiting 2025-10-10T01:42:44.2504383Z b5c1f1d04e49: Pulling fs layer 2025-10-10T01:42:44.2504791Z 8bfa01aa9f67: Pulling fs layer 2025-10-10T01:42:44.2505135Z 76b50af25bb2: Pulling fs layer 2025-10-10T01:42:44.2505391Z 790aab81f4e6: Pulling fs layer 2025-10-10T01:42:44.2505647Z 8bfa01aa9f67: Waiting 2025-10-10T01:42:44.2505874Z 8ab01ae9dcb3: Waiting 2025-10-10T01:42:44.2506110Z db1646389d72: Pulling fs layer 2025-10-10T01:42:44.2506363Z 790aab81f4e6: Waiting 2025-10-10T01:42:44.2506590Z 3bc5bbef02ed: Waiting 2025-10-10T01:42:44.2506815Z 76b50af25bb2: Waiting 2025-10-10T01:42:44.2507053Z 02a0f96cdf53: Pulling fs layer 2025-10-10T01:42:44.2507309Z 68f41ab8486e: Pulling fs layer 2025-10-10T01:42:44.2507561Z 02a0f96cdf53: Waiting 2025-10-10T01:42:44.2507800Z e3f98332ab10: Pulling fs layer 2025-10-10T01:42:44.2508063Z 7457da579c6c: Pulling fs layer 2025-10-10T01:42:44.2508315Z b5c1f1d04e49: Waiting 2025-10-10T01:42:44.2508557Z e3f98332ab10: Waiting 2025-10-10T01:42:44.2508775Z 7457da579c6c: Waiting 2025-10-10T01:42:44.2508995Z 68f41ab8486e: Waiting 2025-10-10T01:42:44.2509229Z 0a674f39e957: Pulling fs layer 2025-10-10T01:42:44.2509494Z f0ecf669ef0c: Pulling fs layer 2025-10-10T01:42:44.2509752Z 1b0c6d725f14: Pulling fs layer 2025-10-10T01:42:44.2510005Z f4a18cd9cea4: Waiting 2025-10-10T01:42:44.2510235Z f0ecf669ef0c: Waiting 2025-10-10T01:42:44.2510468Z c0e6531f5eb5: Pulling fs layer 2025-10-10T01:42:44.2510715Z 1b0c6d725f14: Waiting 2025-10-10T01:42:44.2510947Z aed496efbade: Waiting 2025-10-10T01:42:44.2511185Z ae0b7f7d24da: Pulling fs layer 2025-10-10T01:42:44.2511450Z 94e7dbd5d025: Pulling fs layer 2025-10-10T01:42:44.2511694Z c0e6531f5eb5: Waiting 2025-10-10T01:42:44.2511929Z a85ad70c4a57: Pulling fs layer 2025-10-10T01:42:44.2512178Z 0a674f39e957: Waiting 2025-10-10T01:42:44.2512405Z 0c003dc999da: Pulling fs layer 2025-10-10T01:42:44.2512672Z 2896c59acbad: Pulling fs layer 2025-10-10T01:42:44.2512924Z 94e7dbd5d025: Waiting 2025-10-10T01:42:44.2513151Z ae0b7f7d24da: Waiting 2025-10-10T01:42:44.2513369Z 0c003dc999da: Waiting 2025-10-10T01:42:44.2513604Z d78bc58b550c: Pulling fs layer 2025-10-10T01:42:44.2514167Z b703f7ee0fc0: Pulling fs layer 2025-10-10T01:42:44.2514789Z 1752e3190ff5: Pulling fs layer 2025-10-10T01:42:44.2515136Z 2896c59acbad: Waiting 2025-10-10T01:42:44.2515364Z d78bc58b550c: Waiting 2025-10-10T01:42:44.2515596Z 34979748cc1d: Pulling fs layer 2025-10-10T01:42:44.2515841Z 1752e3190ff5: Waiting 2025-10-10T01:42:44.2516074Z 513b572fb222: Pulling fs layer 2025-10-10T01:42:44.2516339Z e9ac6050ca5f: Pulling fs layer 2025-10-10T01:42:44.2516595Z 7502c578ddc8: Pulling fs layer 2025-10-10T01:42:44.2516839Z 34979748cc1d: Waiting 2025-10-10T01:42:44.2517065Z 85b2945eefe0: Pulling fs layer 2025-10-10T01:42:44.2517312Z 513b572fb222: Waiting 2025-10-10T01:42:44.2517531Z 7502c578ddc8: Waiting 2025-10-10T01:42:44.2517959Z 0a410380adff: Pulling fs layer 2025-10-10T01:42:44.2518202Z 0a410380adff: Waiting 2025-10-10T01:42:44.2518424Z 85b2945eefe0: Waiting 2025-10-10T01:42:44.3437370Z 69d243ff864c: Verifying Checksum 2025-10-10T01:42:44.3437850Z 69d243ff864c: Download complete 2025-10-10T01:42:44.4462615Z b90c3b3c4272: Download complete 2025-10-10T01:42:44.5420676Z 363624eaed4c: Verifying Checksum 2025-10-10T01:42:44.5421013Z 363624eaed4c: Download complete 2025-10-10T01:42:44.5998218Z 828c1365039a: Download complete 2025-10-10T01:42:44.6353189Z 7fa6a8e133d3: Verifying Checksum 2025-10-10T01:42:44.6353815Z 7fa6a8e133d3: Download complete 2025-10-10T01:42:44.7063295Z f69870976e0e: Verifying Checksum 2025-10-10T01:42:44.7063642Z f69870976e0e: Download complete 2025-10-10T01:42:44.7116029Z ab27bfcc8162: Verifying Checksum 2025-10-10T01:42:44.7116484Z ab27bfcc8162: Download complete 2025-10-10T01:42:44.7847764Z dc073154d9c5: Download complete 2025-10-10T01:42:44.8568057Z 4018de3a3c74: Verifying Checksum 2025-10-10T01:42:44.8568439Z 4018de3a3c74: Download complete 2025-10-10T01:42:44.9304812Z 2bf44e3b6145: Download complete 2025-10-10T01:42:45.0038291Z 93b3bac3ce2b: Download complete 2025-10-10T01:42:45.7852318Z 828c1365039a: Pull complete 2025-10-10T01:42:45.7982778Z 69d243ff864c: Pull complete 2025-10-10T01:42:45.8810697Z 87b62afc67b6: Verifying Checksum 2025-10-10T01:42:45.8811113Z 87b62afc67b6: Download complete 2025-10-10T01:42:45.8897601Z 4f4fb700ef54: Verifying Checksum 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2025-10-10T01:56:10.3764059Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-10-10T01:56:10.3764938Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-10-10T01:56:10.3778454Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:56:10.3778806Z env: 2025-10-10T01:56:10.3779037Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:56:10.3779299Z ##[endgroup] 2025-10-10T01:56:10.3963460Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-10-10T01:56:10.3963853Z with: 2025-10-10T01:56:10.3964082Z driver-version: 580.82.07 2025-10-10T01:56:10.3964333Z env: 2025-10-10T01:56:10.3964547Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:56:10.3964797Z ##[endgroup] 2025-10-10T01:56:10.4005897Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2025-10-10T01:56:10.4006286Z with: 2025-10-10T01:56:10.4006498Z timeout_minutes: 10 2025-10-10T01:56:10.4006739Z max_attempts: 3 2025-10-10T01:56:10.4030427Z command: # Is it disgusting to have a full shell script here in this github action? Sure # But is it the best way to make it so that this action relies on nothing else? Absolutely set -eou pipefail DISTRIBUTION=$(. /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 ${DISTRIBUTION}" exit 1 ;; esac echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" # 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 2025-10-10T01:56:10.4054131Z retry_wait_seconds: 10 2025-10-10T01:56:10.4054399Z polling_interval_seconds: 1 2025-10-10T01:56:10.4054674Z warning_on_retry: true 2025-10-10T01:56:10.4054922Z continue_on_error: false 2025-10-10T01:56:10.4055168Z env: 2025-10-10T01:56:10.4055380Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:56:10.4055636Z DRIVER_VERSION: 580.82.07 2025-10-10T01:56:10.4055881Z ##[endgroup] 2025-10-10T01:56:10.4861772Z == Installing nvidia driver NVIDIA-Linux-x86_64-580.82.07.run == 2025-10-10T01:56:10.4862649Z + pre_install_nvidia_driver_amzn2 2025-10-10T01:56:10.4866725Z + sudo yum remove -y nvidia-driver-latest-dkms 2025-10-10T01:56:11.2184619Z No match for argument: nvidia-driver-latest-dkms 2025-10-10T01:56:11.2185022Z No packages marked for removal. 2025-10-10T01:56:11.2304641Z Dependencies resolved. 2025-10-10T01:56:11.2314958Z Nothing to do. 2025-10-10T01:56:11.2315380Z Complete! 2025-10-10T01:56:11.2631965Z + install_nvidia_driver_common 2025-10-10T01:56:11.2640928Z + echo 'Before installing NVIDIA driver' 2025-10-10T01:56:11.2641247Z + lspci 2025-10-10T01:56:11.2642553Z Before installing NVIDIA driver 2025-10-10T01:56:11.2819212Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-10-10T01:56:11.2819726Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-10-10T01:56:11.2820285Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-10-10T01:56:11.2821181Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-10-10T01:56:11.2821669Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-10-10T01:56:11.2822202Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-10-10T01:56:11.2822691Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-10-10T01:56:11.2823327Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-10-10T01:56:11.2823737Z + lsmod 2025-10-10T01:56:11.2874260Z Module Size Used by 2025-10-10T01:56:11.2874563Z nvidia_uvm 1925120 0 2025-10-10T01:56:11.2874915Z nvidia 14286848 1 nvidia_uvm 2025-10-10T01:56:11.2875216Z drm 602112 1 nvidia 2025-10-10T01:56:11.2875526Z drm_panel_orientation_quirks 32768 1 drm 2025-10-10T01:56:11.2875857Z backlight 24576 1 drm 2025-10-10T01:56:11.2876155Z i2c_core 110592 2 nvidia,drm 2025-10-10T01:56:11.2876453Z xt_conntrack 16384 1 2025-10-10T01:56:11.2876735Z nft_chain_nat 16384 3 2025-10-10T01:56:11.2877001Z xt_MASQUERADE 20480 1 2025-10-10T01:56:11.2877312Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-10-10T01:56:11.2877650Z nf_conntrack_netlink 57344 0 2025-10-10T01:56:11.2878053Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-10-10T01:56:11.2878500Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-10-10T01:56:11.2878824Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-10-10T01:56:11.2879128Z xfrm_user 57344 1 2025-10-10T01:56:11.2879407Z xfrm_algo 16384 1 xfrm_user 2025-10-10T01:56:11.2879698Z xt_addrtype 16384 2 2025-10-10T01:56:11.2880015Z nft_compat 20480 4 2025-10-10T01:56:11.2880330Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-10-10T01:56:11.2880750Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-10-10T01:56:11.2881128Z br_netfilter 36864 0 2025-10-10T01:56:11.2881416Z bridge 323584 1 br_netfilter 2025-10-10T01:56:11.2881724Z stp 16384 1 bridge 2025-10-10T01:56:11.2882022Z llc 16384 2 bridge,stp 2025-10-10T01:56:11.2882310Z overlay 167936 0 2025-10-10T01:56:11.2882575Z tls 139264 0 2025-10-10T01:56:11.2882846Z nls_ascii 16384 1 2025-10-10T01:56:11.2883128Z nls_cp437 20480 1 2025-10-10T01:56:11.2883393Z vfat 24576 1 2025-10-10T01:56:11.2883651Z fat 86016 1 vfat 2025-10-10T01:56:11.2883929Z ena 184320 0 2025-10-10T01:56:11.2884188Z i8042 45056 0 2025-10-10T01:56:11.2884454Z serio 28672 3 i8042 2025-10-10T01:56:11.2884738Z ghash_clmulni_intel 16384 0 2025-10-10T01:56:11.2885011Z button 24576 0 2025-10-10T01:56:11.2885275Z sunrpc 700416 1 2025-10-10T01:56:11.2885540Z fuse 184320 1 2025-10-10T01:56:11.2885805Z sch_fq_codel 20480 17 2025-10-10T01:56:11.2886074Z dm_mod 188416 0 2025-10-10T01:56:11.2886338Z loop 36864 0 2025-10-10T01:56:11.2886603Z configfs 57344 1 2025-10-10T01:56:11.2886862Z dmi_sysfs 20480 0 2025-10-10T01:56:11.2887129Z crc32_pclmul 16384 0 2025-10-10T01:56:11.2887406Z crc32c_intel 24576 0 2025-10-10T01:56:11.2887671Z efivarfs 24576 1 2025-10-10T01:56:11.2887923Z + modinfo nvidia 2025-10-10T01:56:11.2895914Z filename: /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-10-10T01:56:11.2896409Z import_ns: DMA_BUF 2025-10-10T01:56:11.2896672Z alias: char-major-195-* 2025-10-10T01:56:11.2896949Z version: 580.82.07 2025-10-10T01:56:11.2897203Z supported: external 2025-10-10T01:56:11.2897463Z license: Dual MIT/GPL 2025-10-10T01:56:11.2897762Z firmware: nvidia/580.82.07/gsp_tu10x.bin 2025-10-10T01:56:11.2898222Z firmware: nvidia/580.82.07/gsp_ga10x.bin 2025-10-10T01:56:11.2898552Z srcversion: BA7240A71DCF7DC6FE88C1D 2025-10-10T01:56:11.2898895Z alias: of:N*T*Cnvidia,tegra264-displayC* 2025-10-10T01:56:11.2899255Z alias: of:N*T*Cnvidia,tegra264-display 2025-10-10T01:56:11.2899611Z alias: of:N*T*Cnvidia,tegra234-displayC* 2025-10-10T01:56:11.2900091Z alias: of:N*T*Cnvidia,tegra234-display 2025-10-10T01:56:11.2900480Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-10-10T01:56:11.2900861Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-10-10T01:56:11.2901238Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-10-10T01:56:11.2901584Z depends: i2c-core,drm 2025-10-10T01:56:11.2901873Z retpoline: Y 2025-10-10T01:56:11.2902116Z name: nvidia 2025-10-10T01:56:11.2902813Z vermagic: 6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-10-10T01:56:11.2903285Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-10-10T01:56:11.2903727Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-10-10T01:56:11.2904141Z parm: NVreg_ResmanDebugLevel:int 2025-10-10T01:56:11.2904448Z parm: NVreg_RmLogonRC:int 2025-10-10T01:56:11.2904765Z parm: NVreg_ModifyDeviceFiles:int 2025-10-10T01:56:11.2905086Z parm: NVreg_DeviceFileUID:int 2025-10-10T01:56:11.2905388Z parm: NVreg_DeviceFileGID:int 2025-10-10T01:56:11.2905685Z parm: NVreg_DeviceFileMode:int 2025-10-10T01:56:11.2906044Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-10-10T01:56:11.2906427Z parm: NVreg_UsePageAttributeTable:int 2025-10-10T01:56:11.2919248Z parm: NVreg_EnablePCIeGen3:int 2025-10-10T01:56:11.2919576Z parm: NVreg_EnableMSI:int 2025-10-10T01:56:11.2919904Z parm: NVreg_EnableStreamMemOPs:int 2025-10-10T01:56:11.2920271Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-10-10T01:56:11.2920689Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-10-10T01:56:11.2921076Z parm: NVreg_EnableS0ixPowerManagement:int 2025-10-10T01:56:11.2921488Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-10-10T01:56:11.2921895Z parm: NVreg_DynamicPowerManagement:int 2025-10-10T01:56:11.2922314Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-10-10T01:56:11.2922731Z parm: NVreg_EnableGpuFirmware:int 2025-10-10T01:56:11.2923071Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-10-10T01:56:11.2923444Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-10-10T01:56:11.2923812Z parm: NVreg_EnableUserNUMAManagement:int 2025-10-10T01:56:11.2924154Z parm: NVreg_MemoryPoolSize:int 2025-10-10T01:56:11.2924484Z parm: NVreg_KMallocHeapMaxSize:int 2025-10-10T01:56:11.2924820Z parm: NVreg_VMallocHeapMaxSize:int 2025-10-10T01:56:11.2925140Z parm: NVreg_IgnoreMMIOCheck:int 2025-10-10T01:56:11.2925458Z parm: NVreg_NvLinkDisable:int 2025-10-10T01:56:11.2925806Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-10-10T01:56:11.2926170Z parm: NVreg_RegisterPCIDriver:int 2025-10-10T01:56:11.2926518Z parm: NVreg_RegisterPlatformDeviceDriver:int 2025-10-10T01:56:11.2926877Z parm: NVreg_EnableResizableBar:int 2025-10-10T01:56:11.2927220Z parm: NVreg_EnableDbgBreakpoint:int 2025-10-10T01:56:11.2927563Z parm: NVreg_EnableNonblockingOpen:int 2025-10-10T01:56:11.2927912Z parm: NVreg_CoherentGPUMemoryMode:charp 2025-10-10T01:56:11.2928256Z parm: NVreg_RegistryDwords:charp 2025-10-10T01:56:11.2928608Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-10-10T01:56:11.2928941Z parm: NVreg_RmMsg:charp 2025-10-10T01:56:11.2929227Z parm: NVreg_GpuBlacklist:charp 2025-10-10T01:56:11.2929556Z parm: NVreg_TemporaryFilePath:charp 2025-10-10T01:56:11.2930081Z parm: NVreg_ExcludedGpus:charp 2025-10-10T01:56:11.2930409Z parm: NVreg_DmaRemapPeerMmio:int 2025-10-10T01:56:11.2930733Z parm: NVreg_RmNvlinkBandwidth:charp 2025-10-10T01:56:11.2931093Z parm: NVreg_RmNvlinkBandwidthLinkCount:int 2025-10-10T01:56:11.2931448Z parm: NVreg_ImexChannelCount:int 2025-10-10T01:56:11.2931785Z parm: NVreg_CreateImexChannel0:int 2025-10-10T01:56:11.2932253Z parm: NVreg_GrdmaPciTopoCheckOverride:int 2025-10-10T01:56:11.2932590Z parm: rm_firmware_active:charp 2025-10-10T01:56:11.2932903Z + HAS_NVIDIA_DRIVER=0 2025-10-10T01:56:11.2933203Z ++ command -v nvidia-smi 2025-10-10T01:56:11.2933470Z + '[' -x /usr/bin/nvidia-smi ']' 2025-10-10T01:56:11.2933727Z + set +e 2025-10-10T01:56:11.2934040Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0 2025-10-10T01:56:13.0185639Z + INSTALLED_DRIVER_VERSION=580.82.07 2025-10-10T01:56:13.0186081Z + NVIDIA_SMI_STATUS=0 2025-10-10T01:56:13.0186414Z + '[' 0 -ne 0 ']' 2025-10-10T01:56:13.0186677Z + '[' 580.82.07 '!=' 580.82.07 ']' 2025-10-10T01:56:13.0187034Z + HAS_NVIDIA_DRIVER=1 2025-10-10T01:56:13.0187479Z + echo 'NVIDIA driver (580.82.07) has already been installed. Skipping NVIDIA driver installation' 2025-10-10T01:56:13.0187949Z + set -e 2025-10-10T01:56:13.0188168Z + '[' 1 -eq 0 ']' 2025-10-10T01:56:13.0188564Z NVIDIA driver (580.82.07) has already been installed. Skipping NVIDIA driver installation 2025-10-10T01:56:13.0189042Z + post_install_nvidia_driver_common 2025-10-10T01:56:13.0192469Z + sudo modprobe nvidia 2025-10-10T01:56:13.1710866Z + echo 'After installing NVIDIA driver' 2025-10-10T01:56:13.1711216Z + lspci 2025-10-10T01:56:13.1711460Z After installing NVIDIA driver 2025-10-10T01:56:13.1858568Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-10-10T01:56:13.1859188Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-10-10T01:56:13.1859770Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-10-10T01:56:13.1860285Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-10-10T01:56:13.1860849Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-10-10T01:56:13.1861515Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-10-10T01:56:13.1862117Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-10-10T01:56:13.1862620Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-10-10T01:56:13.1863024Z + lsmod 2025-10-10T01:56:13.1898448Z Module Size Used by 2025-10-10T01:56:13.1899028Z nvidia_uvm 1925120 0 2025-10-10T01:56:13.1899600Z nvidia 14286848 1 nvidia_uvm 2025-10-10T01:56:13.1900256Z drm 602112 1 nvidia 2025-10-10T01:56:13.1900904Z drm_panel_orientation_quirks 32768 1 drm 2025-10-10T01:56:13.1901528Z backlight 24576 1 drm 2025-10-10T01:56:13.1902010Z i2c_core 110592 2 nvidia,drm 2025-10-10T01:56:13.1902754Z xt_conntrack 16384 1 2025-10-10T01:56:13.1903064Z nft_chain_nat 16384 3 2025-10-10T01:56:13.1903341Z xt_MASQUERADE 20480 1 2025-10-10T01:56:13.1903655Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-10-10T01:56:13.1904000Z nf_conntrack_netlink 57344 0 2025-10-10T01:56:13.1904480Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-10-10T01:56:13.1904919Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-10-10T01:56:13.1905246Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-10-10T01:56:13.1905549Z xfrm_user 57344 1 2025-10-10T01:56:13.1905828Z xfrm_algo 16384 1 xfrm_user 2025-10-10T01:56:13.1906122Z xt_addrtype 16384 2 2025-10-10T01:56:13.1906396Z nft_compat 20480 4 2025-10-10T01:56:13.1906716Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-10-10T01:56:13.1907447Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-10-10T01:56:13.1907830Z br_netfilter 36864 0 2025-10-10T01:56:13.1908129Z bridge 323584 1 br_netfilter 2025-10-10T01:56:13.1908440Z stp 16384 1 bridge 2025-10-10T01:56:13.1908740Z llc 16384 2 bridge,stp 2025-10-10T01:56:13.1909032Z overlay 167936 0 2025-10-10T01:56:13.1909486Z tls 139264 0 2025-10-10T01:56:13.1909750Z nls_ascii 16384 1 2025-10-10T01:56:13.1910018Z nls_cp437 20480 1 2025-10-10T01:56:13.1910275Z vfat 24576 1 2025-10-10T01:56:13.1910538Z fat 86016 1 vfat 2025-10-10T01:56:13.1910816Z ena 184320 0 2025-10-10T01:56:13.1911075Z i8042 45056 0 2025-10-10T01:56:13.1911335Z serio 28672 3 i8042 2025-10-10T01:56:13.1911625Z ghash_clmulni_intel 16384 0 2025-10-10T01:56:13.1911904Z button 24576 0 2025-10-10T01:56:13.1912174Z sunrpc 700416 1 2025-10-10T01:56:13.1912430Z fuse 184320 1 2025-10-10T01:56:13.1912703Z sch_fq_codel 20480 17 2025-10-10T01:56:13.1912976Z dm_mod 188416 0 2025-10-10T01:56:13.1913238Z loop 36864 0 2025-10-10T01:56:13.1913495Z configfs 57344 1 2025-10-10T01:56:13.1913767Z dmi_sysfs 20480 0 2025-10-10T01:56:13.1914034Z crc32_pclmul 16384 0 2025-10-10T01:56:13.1914333Z crc32c_intel 24576 0 2025-10-10T01:56:13.1914609Z efivarfs 24576 1 2025-10-10T01:56:13.1914974Z + modinfo nvidia 2025-10-10T01:56:13.1922819Z filename: /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-10-10T01:56:13.1923321Z import_ns: DMA_BUF 2025-10-10T01:56:13.1923587Z alias: char-major-195-* 2025-10-10T01:56:13.1923865Z version: 580.82.07 2025-10-10T01:56:13.1924115Z supported: external 2025-10-10T01:56:13.1924376Z license: Dual MIT/GPL 2025-10-10T01:56:13.1924681Z firmware: nvidia/580.82.07/gsp_tu10x.bin 2025-10-10T01:56:13.1925029Z firmware: nvidia/580.82.07/gsp_ga10x.bin 2025-10-10T01:56:13.1925358Z srcversion: BA7240A71DCF7DC6FE88C1D 2025-10-10T01:56:13.1925701Z alias: of:N*T*Cnvidia,tegra264-displayC* 2025-10-10T01:56:13.1926065Z alias: of:N*T*Cnvidia,tegra264-display 2025-10-10T01:56:13.1926429Z alias: of:N*T*Cnvidia,tegra234-displayC* 2025-10-10T01:56:13.1926780Z alias: of:N*T*Cnvidia,tegra234-display 2025-10-10T01:56:13.1927132Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-10-10T01:56:13.1927477Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-10-10T01:56:13.1927819Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-10-10T01:56:13.1928135Z depends: i2c-core,drm 2025-10-10T01:56:13.1928404Z retpoline: Y 2025-10-10T01:56:13.1928639Z name: nvidia 2025-10-10T01:56:13.1929013Z vermagic: 6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-10-10T01:56:13.1929485Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-10-10T01:56:13.1929936Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-10-10T01:56:13.1930364Z parm: NVreg_ResmanDebugLevel:int 2025-10-10T01:56:13.1930690Z parm: NVreg_RmLogonRC:int 2025-10-10T01:56:13.1931003Z parm: NVreg_ModifyDeviceFiles:int 2025-10-10T01:56:13.1931329Z parm: NVreg_DeviceFileUID:int 2025-10-10T01:56:13.1931645Z parm: NVreg_DeviceFileGID:int 2025-10-10T01:56:13.1931960Z parm: NVreg_DeviceFileMode:int 2025-10-10T01:56:13.1932328Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-10-10T01:56:13.1932727Z parm: NVreg_UsePageAttributeTable:int 2025-10-10T01:56:13.1933072Z parm: NVreg_EnablePCIeGen3:int 2025-10-10T01:56:13.1933386Z parm: NVreg_EnableMSI:int 2025-10-10T01:56:13.1933705Z parm: NVreg_EnableStreamMemOPs:int 2025-10-10T01:56:13.1934181Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-10-10T01:56:13.1934593Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-10-10T01:56:13.1934984Z parm: NVreg_EnableS0ixPowerManagement:int 2025-10-10T01:56:13.1935402Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-10-10T01:56:13.1935888Z parm: NVreg_DynamicPowerManagement:int 2025-10-10T01:56:13.1936316Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-10-10T01:56:13.1936735Z parm: NVreg_EnableGpuFirmware:int 2025-10-10T01:56:13.1937079Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-10-10T01:56:13.1937453Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-10-10T01:56:13.1937836Z parm: NVreg_EnableUserNUMAManagement:int 2025-10-10T01:56:13.1938186Z parm: NVreg_MemoryPoolSize:int 2025-10-10T01:56:13.1938517Z parm: NVreg_KMallocHeapMaxSize:int 2025-10-10T01:56:13.1938853Z parm: NVreg_VMallocHeapMaxSize:int 2025-10-10T01:56:13.1939191Z parm: NVreg_IgnoreMMIOCheck:int 2025-10-10T01:56:13.1939516Z parm: NVreg_NvLinkDisable:int 2025-10-10T01:56:13.1939878Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-10-10T01:56:13.1940248Z parm: NVreg_RegisterPCIDriver:int 2025-10-10T01:56:13.1940612Z parm: NVreg_RegisterPlatformDeviceDriver:int 2025-10-10T01:56:13.1940990Z parm: NVreg_EnableResizableBar:int 2025-10-10T01:56:13.1941338Z parm: NVreg_EnableDbgBreakpoint:int 2025-10-10T01:56:13.1941685Z parm: NVreg_EnableNonblockingOpen:int 2025-10-10T01:56:13.1942053Z parm: NVreg_CoherentGPUMemoryMode:charp 2025-10-10T01:56:13.1942404Z parm: NVreg_RegistryDwords:charp 2025-10-10T01:56:13.1942753Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-10-10T01:56:13.1943087Z parm: NVreg_RmMsg:charp 2025-10-10T01:56:13.1943388Z parm: NVreg_GpuBlacklist:charp 2025-10-10T01:56:13.1943729Z parm: NVreg_TemporaryFilePath:charp 2025-10-10T01:56:13.1944063Z parm: NVreg_ExcludedGpus:charp 2025-10-10T01:56:13.1944382Z parm: NVreg_DmaRemapPeerMmio:int 2025-10-10T01:56:13.1944722Z parm: NVreg_RmNvlinkBandwidth:charp 2025-10-10T01:56:13.1945094Z parm: NVreg_RmNvlinkBandwidthLinkCount:int 2025-10-10T01:56:13.1945459Z parm: NVreg_ImexChannelCount:int 2025-10-10T01:56:13.1945789Z parm: NVreg_CreateImexChannel0:int 2025-10-10T01:56:13.1946146Z parm: NVreg_GrdmaPciTopoCheckOverride:int 2025-10-10T01:56:13.1946495Z parm: rm_firmware_active:charp 2025-10-10T01:56:13.1946792Z + set +e 2025-10-10T01:56:13.1946992Z + nvidia-smi 2025-10-10T01:56:14.6481460Z Fri Oct 10 01:56:14 2025 2025-10-10T01:56:14.6481925Z +-----------------------------------------------------------------------------------------+ 2025-10-10T01:56:14.6482430Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-10-10T01:56:14.6482951Z +-----------------------------------------+------------------------+----------------------+ 2025-10-10T01:56:14.6483458Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-10-10T01:56:14.6483996Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-10-10T01:56:14.6484453Z | | | MIG M. | 2025-10-10T01:56:14.6484803Z |=========================================+========================+======================| 2025-10-10T01:56:14.6570003Z | 0 NVIDIA A10G Off | 00000000:00:1E.0 Off | 0 | 2025-10-10T01:56:14.6570512Z | 0% 24C P0 57W / 300W | 0MiB / 23028MiB | 4% Default | 2025-10-10T01:56:14.6570896Z | | | N/A | 2025-10-10T01:56:14.6571630Z +-----------------------------------------+------------------------+----------------------+ 2025-10-10T01:56:14.6572786Z 2025-10-10T01:56:14.6573071Z +-----------------------------------------------------------------------------------------+ 2025-10-10T01:56:14.6573639Z | Processes: | 2025-10-10T01:56:14.6574074Z | GPU GI CI PID Type Process name GPU Memory | 2025-10-10T01:56:14.6574683Z | ID ID Usage | 2025-10-10T01:56:14.6575031Z |=========================================================================================| 2025-10-10T01:56:14.6576364Z | No running processes found | 2025-10-10T01:56:14.6576886Z +-----------------------------------------------------------------------------------------+ 2025-10-10T01:56:15.0799351Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 2025-10-10T01:56:16.5312662Z NVIDIA A10G 2025-10-10T01:56:16.8052276Z + NVIDIA_SMI_STATUS=0 2025-10-10T01:56:16.8052590Z + '[' 0 -eq 0 ']' 2025-10-10T01:56:16.8052851Z + echo 'INFO: Ignoring allowed status 0' 2025-10-10T01:56:16.8053156Z + set -e 2025-10-10T01:56:16.8053379Z INFO: Ignoring allowed status 0 2025-10-10T01:56:16.8061340Z == Installing nvidia container toolkit for amzn2023 == 2025-10-10T01:56:16.8065166Z + sudo yum install -y yum-utils 2025-10-10T01:56:17.3869017Z Last metadata expiration check: 0:24:15 ago on Fri Oct 10 01:32:02 2025. 2025-10-10T01:56:17.4140870Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed. 2025-10-10T01:56:17.4721368Z Dependencies resolved. 2025-10-10T01:56:17.5011034Z Nothing to do. 2025-10-10T01:56:17.5011506Z Complete! 2025-10-10T01:56:17.5593783Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]] 2025-10-10T01:56:17.5595098Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-10-10T01:56:17.5596305Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-10-10T01:56:17.9128963Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-10-10T01:56:17.9674609Z + 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 2025-10-10T01:56:18.4858921Z nvidia-container-toolkit 16 kB/s | 833 B 00:00 2025-10-10T01:56:18.5121218Z Package nvidia-container-toolkit-1.17.8-1.x86_64 is already installed. 2025-10-10T01:56:18.5128102Z Package libnvidia-container-tools-1.17.8-1.x86_64 is already installed. 2025-10-10T01:56:18.5132088Z Package libnvidia-container1-1.17.8-1.x86_64 is already installed. 2025-10-10T01:56:18.5139120Z Package nvidia-container-toolkit-base-1.17.8-1.x86_64 is already installed. 2025-10-10T01:56:18.5701248Z Dependencies resolved. 2025-10-10T01:56:18.5987580Z Nothing to do. 2025-10-10T01:56:18.5987874Z Complete! 2025-10-10T01:56:18.6668182Z + sudo systemctl restart docker 2025-10-10T01:57:00.2823554Z Fri Oct 10 01:57:00 2025 2025-10-10T01:57:00.2823980Z +-----------------------------------------------------------------------------------------+ 2025-10-10T01:57:00.2824481Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-10-10T01:57:00.2825001Z +-----------------------------------------+------------------------+----------------------+ 2025-10-10T01:57:00.2825502Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-10-10T01:57:00.2826035Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-10-10T01:57:00.2826477Z | | | MIG M. | 2025-10-10T01:57:00.2826820Z |=========================================+========================+======================| 2025-10-10T01:57:00.2948517Z | 0 NVIDIA A10G On | 00000000:00:1E.0 Off | 0 | 2025-10-10T01:57:00.2948987Z | 0% 24C P0 51W / 300W | 0MiB / 23028MiB | 3% Default | 2025-10-10T01:57:00.2949377Z | | | N/A | 2025-10-10T01:57:00.2949973Z +-----------------------------------------+------------------------+----------------------+ 2025-10-10T01:57:00.2950260Z 2025-10-10T01:57:00.2950439Z +-----------------------------------------------------------------------------------------+ 2025-10-10T01:57:00.2950875Z | Processes: | 2025-10-10T01:57:00.2951318Z | GPU GI CI PID Type Process name GPU Memory | 2025-10-10T01:57:00.2951740Z | ID ID Usage | 2025-10-10T01:57:00.2952104Z |=========================================================================================| 2025-10-10T01:57:00.2953234Z | No running processes found | 2025-10-10T01:57:00.2953713Z +-----------------------------------------------------------------------------------------+ 2025-10-10T01:57:00.4836211Z Unable to find image 'public.ecr.aws/docker/library/python:3.13' locally 2025-10-10T01:57:00.7329437Z 3.13: Pulling from docker/library/python 2025-10-10T01:57:00.8456070Z cae3b572364a: Pulling fs layer 2025-10-10T01:57:00.8456480Z bd090f42c4b7: Pulling fs layer 2025-10-10T01:57:00.8456834Z f0c9d6d993ac: Pulling fs layer 2025-10-10T01:57:00.8457183Z a2ade626d67a: Pulling fs layer 2025-10-10T01:57:00.8457526Z 7f924d696c9c: Pulling fs layer 2025-10-10T01:57:00.8457882Z 12e6ee790ad5: Pulling fs layer 2025-10-10T01:57:00.8458226Z 54ea66483f67: Pulling fs layer 2025-10-10T01:57:00.8458558Z a2ade626d67a: Waiting 2025-10-10T01:57:00.8458850Z 7f924d696c9c: Waiting 2025-10-10T01:57:00.8459177Z 12e6ee790ad5: Waiting 2025-10-10T01:57:00.8459472Z 54ea66483f67: Waiting 2025-10-10T01:57:01.0105042Z bd090f42c4b7: Verifying Checksum 2025-10-10T01:57:01.0105433Z bd090f42c4b7: Download complete 2025-10-10T01:57:01.0599269Z cae3b572364a: Verifying Checksum 2025-10-10T01:57:01.0600289Z cae3b572364a: Download complete 2025-10-10T01:57:01.1373412Z 7f924d696c9c: Verifying Checksum 2025-10-10T01:57:01.1373866Z 7f924d696c9c: Download complete 2025-10-10T01:57:01.1416807Z f0c9d6d993ac: Verifying Checksum 2025-10-10T01:57:01.1417219Z f0c9d6d993ac: Download complete 2025-10-10T01:57:01.1988993Z 54ea66483f67: Verifying Checksum 2025-10-10T01:57:01.1989406Z 54ea66483f67: Download complete 2025-10-10T01:57:01.3205941Z 12e6ee790ad5: Verifying Checksum 2025-10-10T01:57:01.3206426Z 12e6ee790ad5: Download complete 2025-10-10T01:57:02.0562338Z a2ade626d67a: Verifying Checksum 2025-10-10T01:57:02.0562826Z a2ade626d67a: Download complete 2025-10-10T01:57:02.9351986Z cae3b572364a: Pull complete 2025-10-10T01:57:03.7146610Z bd090f42c4b7: Pull complete 2025-10-10T01:57:06.2216194Z f0c9d6d993ac: Pull complete 2025-10-10T01:57:12.9479861Z a2ade626d67a: Pull complete 2025-10-10T01:57:13.2342431Z 7f924d696c9c: Pull complete 2025-10-10T01:57:14.0072445Z 12e6ee790ad5: Pull complete 2025-10-10T01:57:14.0302004Z 54ea66483f67: Pull complete 2025-10-10T01:57:14.0439747Z Digest: sha256:4889af0e45f04b7c5dd741421a1280919499d38d3125d714b69fa86b23b1052a 2025-10-10T01:57:14.0481909Z Status: Downloaded newer image for public.ecr.aws/docker/library/python:3.13 2025-10-10T01:57:21.3216417Z Fri Oct 10 01:57:21 2025 2025-10-10T01:57:21.3216839Z +-----------------------------------------------------------------------------------------+ 2025-10-10T01:57:21.3217347Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-10-10T01:57:21.3217832Z +-----------------------------------------+------------------------+----------------------+ 2025-10-10T01:57:21.3218607Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-10-10T01:57:21.3219149Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-10-10T01:57:21.3219589Z | | | MIG M. | 2025-10-10T01:57:21.3219934Z |=========================================+========================+======================| 2025-10-10T01:57:21.3381193Z | 0 NVIDIA A10G On | 00000000:00:1E.0 Off | 0 | 2025-10-10T01:57:21.3381676Z | 0% 21C P8 10W / 300W | 0MiB / 23028MiB | 0% Default | 2025-10-10T01:57:21.3382069Z | | | N/A | 2025-10-10T01:57:21.3382476Z +-----------------------------------------+------------------------+----------------------+ 2025-10-10T01:57:21.3385608Z 2025-10-10T01:57:21.3386046Z +-----------------------------------------------------------------------------------------+ 2025-10-10T01:57:21.3386535Z | Processes: | 2025-10-10T01:57:21.3387004Z | GPU GI CI PID Type Process name GPU Memory | 2025-10-10T01:57:21.3387428Z | ID ID Usage | 2025-10-10T01:57:21.3387798Z |=========================================================================================| 2025-10-10T01:57:21.3391880Z | No running processes found | 2025-10-10T01:57:21.3392463Z +-----------------------------------------------------------------------------------------+ 2025-10-10T01:57:22.5174305Z Command completed after 1 attempt(s). 2025-10-10T01:57:22.5298969Z Prepare all required actions 2025-10-10T01:57:22.5328132Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-10-10T01:57:22.5328459Z with: 2025-10-10T01:57:22.5329051Z github-token: *** 2025-10-10T01:57:22.5329291Z env: 2025-10-10T01:57:22.5329508Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:57:22.5329838Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T01:57:22.5330187Z ##[endgroup] 2025-10-10T01:57:22.5354856Z ##[group]Run set -eux 2025-10-10T01:57:22.5355124Z set -eux 2025-10-10T01:57:22.5355563Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-10-10T01:57:22.5370690Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:57:22.5371042Z env: 2025-10-10T01:57:22.5371261Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:57:22.5371585Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T01:57:22.5372052Z GITHUB_TOKEN: *** 2025-10-10T01:57:22.5372283Z ##[endgroup] 2025-10-10T01:57:22.5415232Z + python3 .github/scripts/get_workflow_job_id.py 18392306145 i-0f168839050dd63cf 2025-10-10T01:57:23.5754281Z Setting output job-id=52409452359 2025-10-10T01:57:23.5755155Z Setting output job-name=inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-10-10T01:57:23.5878447Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-10-10T01:57:23.5879143Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-10-10T01:57:23.5880015Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-10-10T01:57:23.5880785Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-10-10T01:57:23.5890460Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:57:23.5890815Z env: 2025-10-10T01:57:23.5891031Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:57:23.5891355Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T01:57:23.5891685Z JOB_ID: 52409452359 2025-10-10T01:57:23.5892084Z JOB_NAME: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-10-10T01:57:23.5892538Z WORKFLOW_NAME: inductor 2025-10-10T01:57:23.5892829Z WORKFLOW_RUN_ID: 18392306145 2025-10-10T01:57:23.5893095Z MONITOR_LOG_INTERVAL: 5 2025-10-10T01:57:23.5893361Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-10-10T01:57:23.5893636Z ##[endgroup] 2025-10-10T01:57:24.0483510Z Defaulting to user installation because normal site-packages is not writeable 2025-10-10T01:57:24.4520961Z Collecting psutil==5.9.8 2025-10-10T01:57:24.4779174Z 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) 2025-10-10T01:57:24.5615416Z Collecting dataclasses_json==0.6.7 2025-10-10T01:57:24.5665851Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-10-10T01:57:24.5972288Z Collecting nvidia-ml-py==11.525.84 2025-10-10T01:57:24.6069032Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-10-10T01:57:24.6414552Z Collecting typing-inspect<1,>=0.4.0 2025-10-10T01:57:24.6484095Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-10-10T01:57:24.7715580Z Collecting marshmallow<4.0.0,>=3.18.0 2025-10-10T01:57:24.7785763Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-10-10T01:57:24.8829701Z Collecting packaging>=17.0 2025-10-10T01:57:24.8866044Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-10-10T01:57:24.9112074Z Collecting mypy-extensions>=0.3.0 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(SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-10-10T01:57:26.2958027Z ##[group]Run ./.github/actions/download-build-artifacts 2025-10-10T01:57:26.2958377Z with: 2025-10-10T01:57:26.2958637Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm86 2025-10-10T01:57:26.2958961Z s3-bucket: gha-artifacts 2025-10-10T01:57:26.2959205Z env: 2025-10-10T01:57:26.2959431Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:57:26.2959860Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T01:57:26.2960238Z ##[endgroup] 2025-10-10T01:57:26.2994266Z ##[group]Run seemethere/download-artifact-s3@v4 2025-10-10T01:57:26.2994677Z with: 2025-10-10T01:57:26.2994966Z name: linux-jammy-cuda12.8-py3.10-gcc9-sm86 2025-10-10T01:57:26.2995286Z s3-bucket: gha-artifacts 2025-10-10T01:57:26.2995533Z region: us-east-1 2025-10-10T01:57:26.2995760Z env: 2025-10-10T01:57:26.2995960Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:57:26.2996262Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T01:57:26.2996604Z ##[endgroup] 2025-10-10T01:57:26.7762185Z (node:59954) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-10-10T01:57:26.7762644Z 2025-10-10T01:57:26.7762831Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-10-10T01:57:26.7763338Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-10-10T01:57:26.7763858Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-10-10T01:57:27.0444495Z Found 1 objects with prefix pytorch/pytorch/18392306145/linux-jammy-cuda12.8-py3.10-gcc9-sm86/ 2025-10-10T01:57:27.0445231Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-10-10T01:57:44.8081669Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-10-10T01:57:44.8087454Z Artifact download has finished successfully 2025-10-10T01:57:44.8463227Z ##[group]Run unzip -o artifacts.zip 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creating: .additional_ci_files/ 2025-10-10T01:57:56.6980136Z inflating: .additional_ci_files/test-times.json 2025-10-10T01:57:56.7249785Z inflating: .additional_ci_files/test-class-times.json 2025-10-10T01:57:56.7297077Z ##[group]Run rm artifacts.zip 2025-10-10T01:57:56.7297368Z rm artifacts.zip 2025-10-10T01:57:56.7306812Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:57:56.7307160Z env: 2025-10-10T01:57:56.7307393Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:57:56.7307720Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T01:57:56.7308063Z ##[endgroup] 2025-10-10T01:57:56.8592189Z ##[group]Run df -H 2025-10-10T01:57:56.8592445Z df -H 2025-10-10T01:57:56.8601472Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:57:56.8601850Z env: 2025-10-10T01:57:56.8602094Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:57:56.8602773Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T01:57:56.8603185Z ##[endgroup] 2025-10-10T01:57:56.8668473Z Filesystem Size Used Avail Use% Mounted on 2025-10-10T01:57:56.8668948Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-10-10T01:57:56.8669294Z tmpfs 34G 0 34G 0% /dev/shm 2025-10-10T01:57:56.8669611Z tmpfs 14G 553k 14G 1% /run 2025-10-10T01:57:56.8669926Z /dev/nvme0n1p1 161G 89G 73G 55% / 2025-10-10T01:57:56.8670242Z tmpfs 34G 13k 34G 1% /tmp 2025-10-10T01:57:56.8670584Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-10-10T01:57:56.8670925Z tmpfs 6.7G 0 6.7G 0% /run/user/0 2025-10-10T01:57:56.8703069Z Prepare all required actions 2025-10-10T01:57:56.8703986Z Getting action download info 2025-10-10T01:57:56.9928007Z ##[group]Run ./.github/actions/download-td-artifacts 2025-10-10T01:57:56.9928336Z with: 2025-10-10T01:57:56.9928539Z env: 2025-10-10T01:57:56.9928750Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:57:56.9929073Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T01:57:56.9929404Z ##[endgroup] 2025-10-10T01:57:56.9967599Z ##[group]Run seemethere/download-artifact-s3@v4 2025-10-10T01:57:56.9967921Z with: 2025-10-10T01:57:56.9968122Z name: td_results 2025-10-10T01:57:56.9968363Z s3-bucket: gha-artifacts 2025-10-10T01:57:56.9968622Z region: us-east-1 2025-10-10T01:57:56.9968844Z env: 2025-10-10T01:57:56.9969048Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:57:56.9969369Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T01:57:56.9969886Z ##[endgroup] 2025-10-10T01:57:57.4676107Z (node:59982) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-10-10T01:57:57.4676557Z 2025-10-10T01:57:57.4676743Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-10-10T01:57:57.4677237Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-10-10T01:57:57.4677751Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-10-10T01:57:57.5730275Z Found 0 objects with prefix pytorch/pytorch/18392306145/td_results/ 2025-10-10T01:57:57.5735866Z Artifact download has finished successfully 2025-10-10T01:57:57.6101057Z ##[group]Run mkdir -p .additional_ci_files 2025-10-10T01:57:57.6101598Z mkdir -p .additional_ci_files 2025-10-10T01:57:57.6102234Z mv td_results.json .additional_ci_files/td_results.json || true 2025-10-10T01:57:57.6115620Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:57:57.6116185Z env: 2025-10-10T01:57:57.6116502Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:57:57.6117020Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T01:57:57.6117530Z ##[endgroup] 2025-10-10T01:57:57.6191172Z mv: cannot stat 'td_results.json': No such file or directory 2025-10-10T01:57:57.6232777Z ##[group]Run .github/scripts/parse_ref.py 2025-10-10T01:57:57.6233131Z .github/scripts/parse_ref.py 2025-10-10T01:57:57.6241821Z shell: /usr/bin/bash -e {0} 2025-10-10T01:57:57.6242087Z env: 2025-10-10T01:57:57.6242306Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:57:57.6242625Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T01:57:57.6242968Z ##[endgroup] 2025-10-10T01:57:57.6493109Z Setting output branch=main 2025-10-10T01:57:57.6613926Z Prepare all required actions 2025-10-10T01:57:57.6614282Z Getting action download info 2025-10-10T01:57:57.7793815Z ##[group]Run ./.github/actions/filter-test-configs 2025-10-10T01:57:57.7794136Z with: 2025-10-10T01:57:57.7794610Z github-token: *** 2025-10-10T01:57:57.7796192Z test-matrix: {"include": [{"config": "inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]} 2025-10-10T01:57:57.7797980Z job-name: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-10-10T01:57:57.7798426Z env: 2025-10-10T01:57:57.7798652Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:57:57.7798972Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T01:57:57.7799295Z ##[endgroup] 2025-10-10T01:57:57.7843567Z ##[group]Run nick-fields/retry@v3.0.0 2025-10-10T01:57:57.7843866Z with: 2025-10-10T01:57:57.7844064Z shell: bash 2025-10-10T01:57:57.7844283Z timeout_minutes: 10 2025-10-10T01:57:57.7844523Z max_attempts: 5 2025-10-10T01:57:57.7844755Z retry_wait_seconds: 30 2025-10-10T01:57:57.7845462Z 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 2025-10-10T01:57:57.7846205Z polling_interval_seconds: 1 2025-10-10T01:57:57.7846480Z warning_on_retry: true 2025-10-10T01:57:57.7846737Z continue_on_error: false 2025-10-10T01:57:57.7846981Z env: 2025-10-10T01:57:57.7847193Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:57:57.7847507Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T01:57:57.7847978Z GITHUB_TOKEN: *** 2025-10-10T01:57:57.7848208Z ##[endgroup] 2025-10-10T01:57:57.8877909Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-10-10T01:57:58.1245889Z Defaulting to user installation because normal site-packages is not writeable 2025-10-10T01:57:58.2649259Z Collecting requests==2.27.1 2025-10-10T01:57:58.2847052Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-10-10T01:57:58.4859470Z Collecting pyyaml==6.0.2 2025-10-10T01:57:58.4928385Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-10-10T01:57:58.5195987Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-10-10T01:57:58.5205817Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-10-10T01:57:58.9421214Z Collecting charset-normalizer~=2.0.0 2025-10-10T01:57:58.9516948Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-10-10T01:57:59.0480800Z Collecting certifi>=2017.4.17 2025-10-10T01:57:59.0526418Z Downloading certifi-2025.10.5-py3-none-any.whl (163 kB) 2025-10-10T01:57:59.1424852Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-10-10T01:57:59.2646533Z Successfully installed certifi-2025.10.5 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-10-10T01:57:59.8642446Z Command completed after 1 attempt(s). 2025-10-10T01:57:59.8720998Z ##[group]Run set -x 2025-10-10T01:57:59.8721288Z set -x 2025-10-10T01:57:59.8721511Z  2025-10-10T01:57:59.8721869Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-10-10T01:57:59.8722320Z # in runner workspace 2025-10-10T01:57:59.8722755Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-10-10T01:57:59.8732768Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:57:59.8733343Z env: 2025-10-10T01:57:59.8733559Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:57:59.8733883Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T01:57:59.8734221Z ##[endgroup] 2025-10-10T01:57:59.8765156Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-10-10T01:57:59.8949564Z Setting output branch=main 2025-10-10T01:57:59.9028678Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-10-10T01:57:59.9029051Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-10-10T01:57:59.9029367Z echo "Job name: ${JOB_NAME}" 2025-10-10T01:57:59.9029639Z  2025-10-10T01:57:59.9029980Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-10-10T01:57:59.9030413Z # in runner workspace 2025-10-10T01:57:59.9030807Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-10-10T01:57:59.9031260Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-10-10T01:57:59.9031573Z  --job-name "${JOB_NAME}" \ 2025-10-10T01:57:59.9033230Z  --test-matrix "{"include": [{"config": "inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]}" \ 2025-10-10T01:57:59.9035013Z  --selected-test-configs "" \ 2025-10-10T01:57:59.9035322Z  --pr-number "${PR_NUMBER}" \ 2025-10-10T01:57:59.9035617Z  --tag "${TAG}" \ 2025-10-10T01:57:59.9035892Z  --event-name "${EVENT_NAME}" \ 2025-10-10T01:57:59.9036195Z  --schedule "${SCHEDULE}" \ 2025-10-10T01:57:59.9036483Z  --branch "${HEAD_BRANCH}" 2025-10-10T01:57:59.9045389Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:57:59.9045739Z env: 2025-10-10T01:57:59.9045949Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:57:59.9046435Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T01:57:59.9047107Z GITHUB_TOKEN: *** 2025-10-10T01:57:59.9047504Z JOB_NAME: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-10-10T01:57:59.9047949Z PR_NUMBER: 2025-10-10T01:57:59.9048157Z TAG: 2025-10-10T01:57:59.9048356Z EVENT_NAME: push 2025-10-10T01:57:59.9048580Z SCHEDULE: 2025-10-10T01:57:59.9048791Z HEAD_BRANCH: main 2025-10-10T01:57:59.9049012Z ##[endgroup] 2025-10-10T01:57:59.9080041Z Workflow: inductor 2025-10-10T01:57:59.9080707Z Job name: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-10-10T01:58:00.0915041Z Setting output keep-going=True 2025-10-10T01:58:00.0915407Z Setting output ci-verbose-test-logs=False 2025-10-10T01:58:00.0915746Z Setting output ci-test-showlocals=False 2025-10-10T01:58:00.0916078Z Setting output ci-no-test-timeout=False 2025-10-10T01:58:00.0916395Z Setting output ci-no-td=False 2025-10-10T01:58:00.0916712Z Setting output ci-td-distributed=False 2025-10-10T01:58:00.0917024Z Setting output is-unstable=False 2025-10-10T01:58:00.0917326Z Setting output reenabled-issues= 2025-10-10T01:58:00.0919048Z Setting output test-matrix={"include": [{"config": "inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]} 2025-10-10T01:58:00.0921180Z Setting output is-test-matrix-empty=False 2025-10-10T01:58:00.1050401Z ##[group]Run echo "Filtered matrix:" 2025-10-10T01:58:00.1050734Z echo "Filtered matrix:" 2025-10-10T01:58:00.1052374Z echo "{"include": [{"config": "inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]}" 2025-10-10T01:58:00.1054013Z  2025-10-10T01:58:00.1054220Z echo 2025-10-10T01:58:00.1054490Z echo "Is the current job unstable? False" 2025-10-10T01:58:00.1054812Z  2025-10-10T01:58:00.1055010Z echo 2025-10-10T01:58:00.1055271Z echo "Is keep-going label set? True" 2025-10-10T01:58:00.1055576Z  2025-10-10T01:58:00.1055779Z echo 2025-10-10T01:58:00.1056007Z echo "Reenabled issues? " 2025-10-10T01:58:00.1064977Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:58:00.1065345Z env: 2025-10-10T01:58:00.1065561Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:58:00.1065881Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T01:58:00.1066225Z ##[endgroup] 2025-10-10T01:58:00.1096654Z Filtered matrix: 2025-10-10T01:58:00.1098222Z {include: [{config: inductor_huggingface, shard: 1, num_shards: 1, runner: linux.g5.4xlarge.nvidia.gpu}, {config: inductor_timm, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: inductor_timm, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: inductor_torchbench, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: inductor_torchbench, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}]} 2025-10-10T01:58:00.1100128Z 2025-10-10T01:58:00.1100254Z Is the current job unstable? False 2025-10-10T01:58:00.1100467Z 2025-10-10T01:58:00.1100578Z Is keep-going label set? True 2025-10-10T01:58:00.1100974Z 2025-10-10T01:58:00.1101078Z Reenabled issues? 2025-10-10T01:58:00.1148233Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-10-10T01:58:00.1148727Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-10-10T01:58:00.1157252Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:58:00.1157606Z env: 2025-10-10T01:58:00.1157823Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:58:00.1158145Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T01:58:00.1158472Z JOB_TIMEOUT: 240 2025-10-10T01:58:00.1158698Z ##[endgroup] 2025-10-10T01:58:00.1223454Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-10-10T01:58:00.1223955Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-10-10T01:58:00.1224379Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-10-10T01:58:00.1232724Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T01:58:00.1233134Z env: 2025-10-10T01:58:00.1233404Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:58:00.1233724Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T01:58:00.1234055Z ##[endgroup] 2025-10-10T01:58:00.1361141Z ##[group]Run set -x 2025-10-10T01:58:00.1361473Z set -x 2025-10-10T01:58:00.1361695Z  2025-10-10T01:58:00.1361936Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-10-10T01:58:00.1362313Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-10-10T01:58:00.1362701Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-10-10T01:58:00.1363072Z  TEST_COMMAND=.ci/onnx/test.sh 2025-10-10T01:58:00.1363386Z else 2025-10-10T01:58:00.1363628Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-10-10T01:58:00.1363924Z fi 2025-10-10T01:58:00.1364130Z  2025-10-10T01:58:00.1364390Z # Leaving 1GB for the runner and other things 2025-10-10T01:58:00.1364922Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-10-10T01:58:00.1365733Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-10-10T01:58:00.1366383Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-10-10T01:58:00.1366874Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-10-10T01:58:00.1367262Z  2025-10-10T01:58:00.1367525Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-10-10T01:58:00.1367853Z  SHM_OPTS= 2025-10-10T01:58:00.1368094Z  JENKINS_USER= 2025-10-10T01:58:00.1378777Z  # ensure that docker container cleanly exits in 12 hours 2025-10-10T01:58:00.1379279Z  # if for some reason cleanup action doesn't stop container 2025-10-10T01:58:00.1379666Z  # when job is cancelled 2025-10-10T01:58:00.1379967Z  DOCKER_SHELL_CMD="sleep 12h" 2025-10-10T01:58:00.1380259Z else 2025-10-10T01:58:00.1380515Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-10-10T01:58:00.1380840Z  JENKINS_USER="--user jenkins" 2025-10-10T01:58:00.1381146Z  DOCKER_SHELL_CMD= 2025-10-10T01:58:00.1381407Z fi 2025-10-10T01:58:00.1381610Z  2025-10-10T01:58:00.1381933Z # detached container should get cleaned up by teardown_ec2_linux 2025-10-10T01:58:00.1382436Z # TODO: Stop building test binaries as part of the build phase 2025-10-10T01:58:00.1382997Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-10-10T01:58:00.1383494Z # shellcheck disable=SC2086,SC2090 2025-10-10T01:58:00.1383815Z container_name=$(docker run \ 2025-10-10T01:58:00.1384117Z  ${GPU_FLAG:-} \ 2025-10-10T01:58:00.1384413Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-10-10T01:58:00.1384749Z  -e BUILD_ENVIRONMENT \ 2025-10-10T01:58:00.1385031Z  -e PR_NUMBER \ 2025-10-10T01:58:00.1386090Z  -e GITHUB_ACTIONS \ 2025-10-10T01:58:00.1386373Z  -e GITHUB_REPOSITORY \ 2025-10-10T01:58:00.1386668Z  -e GITHUB_WORKFLOW \ 2025-10-10T01:58:00.1386938Z  -e GITHUB_JOB \ 2025-10-10T01:58:00.1387203Z  -e GITHUB_RUN_ID \ 2025-10-10T01:58:00.1387473Z  -e GITHUB_RUN_NUMBER \ 2025-10-10T01:58:00.1387760Z  -e GITHUB_RUN_ATTEMPT \ 2025-10-10T01:58:00.1388035Z  -e JOB_ID \ 2025-10-10T01:58:00.1388287Z  -e JOB_NAME \ 2025-10-10T01:58:00.1388538Z  -e BASE_SHA \ 2025-10-10T01:58:00.1388792Z  -e BRANCH \ 2025-10-10T01:58:00.1389030Z  -e SHA1 \ 2025-10-10T01:58:00.1389277Z  -e AWS_DEFAULT_REGION \ 2025-10-10T01:58:00.1389559Z  -e IN_WHEEL_TEST \ 2025-10-10T01:58:00.1389827Z  -e SHARD_NUMBER \ 2025-10-10T01:58:00.1390087Z  -e TEST_CONFIG \ 2025-10-10T01:58:00.1390355Z  -e NUM_TEST_SHARDS \ 2025-10-10T01:58:00.1390644Z  -e REENABLED_ISSUES \ 2025-10-10T01:58:00.1390939Z  -e CONTINUE_THROUGH_ERROR \ 2025-10-10T01:58:00.1391361Z  -e VERBOSE_TEST_LOGS \ 2025-10-10T01:58:00.1391654Z  -e TEST_SHOWLOCALS \ 2025-10-10T01:58:00.1391935Z  -e NO_TEST_TIMEOUT \ 2025-10-10T01:58:00.1392204Z  -e NO_TD \ 2025-10-10T01:58:00.1392449Z  -e TD_DISTRIBUTED \ 2025-10-10T01:58:00.1392725Z  -e PR_LABELS \ 2025-10-10T01:58:00.1393012Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-10-10T01:58:00.1393331Z  -e SCCACHE_BUCKET \ 2025-10-10T01:58:00.1393606Z  -e SCCACHE_REGION \ 2025-10-10T01:58:00.1393868Z  -e XLA_CUDA \ 2025-10-10T01:58:00.1394148Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-10-10T01:58:00.1394577Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-10-10T01:58:00.1394951Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-10-10T01:58:00.1395307Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-10-10T01:58:00.1395642Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-10-10T01:58:00.1395967Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-10-10T01:58:00.1396303Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-10-10T01:58:00.1396611Z  -e DASHBOARD_TAG \ 2025-10-10T01:58:00.1396901Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-10-10T01:58:00.1397254Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-10-10T01:58:00.1397653Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-10-10T01:58:00.1398050Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-10-10T01:58:00.1398422Z  --security-opt seccomp=unconfined \ 2025-10-10T01:58:00.1398755Z  --cap-add=SYS_PTRACE \ 2025-10-10T01:58:00.1399047Z  --ipc=host \ 2025-10-10T01:58:00.1399306Z  ${SHM_OPTS} \ 2025-10-10T01:58:00.1399554Z  --tty \ 2025-10-10T01:58:00.1399793Z  --detach \ 2025-10-10T01:58:00.1400070Z  --name="${container_name}" \ 2025-10-10T01:58:00.1400381Z  ${JENKINS_USER} \ 2025-10-10T01:58:00.1400716Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-10-10T01:58:00.1401106Z  -w /var/lib/jenkins/workspace \ 2025-10-10T01:58:00.1401414Z  "${DOCKER_IMAGE}" \ 2025-10-10T01:58:00.1401698Z  ${DOCKER_SHELL_CMD} 2025-10-10T01:58:00.1401953Z ) 2025-10-10T01:58:00.1402630Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-10-10T01:58:00.1403053Z  2025-10-10T01:58:00.1403318Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-10-10T01:58:00.1403853Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-10-10T01:58:00.1404336Z fi 2025-10-10T01:58:00.1404544Z  2025-10-10T01:58:00.1405005Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-10-10T01:58:00.1414333Z shell: /usr/bin/bash -e {0} 2025-10-10T01:58:00.1414604Z env: 2025-10-10T01:58:00.1414833Z GIT_DEFAULT_BRANCH: main 2025-10-10T01:58:00.1415187Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T01:58:00.1415681Z BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc9-sm86 2025-10-10T01:58:00.1416074Z PR_NUMBER: 2025-10-10T01:58:00.1416327Z GITHUB_REPOSITORY: pytorch/pytorch 2025-10-10T01:58:00.1416659Z GITHUB_WORKFLOW: inductor 2025-10-10T01:58:00.1416934Z GITHUB_JOB: test 2025-10-10T01:58:00.1417180Z GITHUB_RUN_ID: 18392306145 2025-10-10T01:58:00.1417473Z GITHUB_RUN_NUMBER: 158985 2025-10-10T01:58:00.1417751Z GITHUB_RUN_ATTEMPT: 1 2025-10-10T01:58:00.1418006Z JOB_ID: 52409452359 2025-10-10T01:58:00.1418456Z JOB_NAME: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-10-10T01:58:00.1418915Z BRANCH: main 2025-10-10T01:58:00.1419183Z SHA1: 344e6365a0068c2d2847fcec0c55dd53291d475e 2025-10-10T01:58:00.1419549Z BASE_SHA: 344e6365a0068c2d2847fcec0c55dd53291d475e 2025-10-10T01:58:00.1420044Z TEST_CONFIG: inductor_torchbench 2025-10-10T01:58:00.1420328Z SHARD_NUMBER: 2 2025-10-10T01:58:00.1420562Z NUM_TEST_SHARDS: 2 2025-10-10T01:58:00.1420797Z EXTRA_FLAGS: 2025-10-10T01:58:00.1421027Z OP_BENCHMARK_TESTS: 2025-10-10T01:58:00.1421269Z REENABLED_ISSUES: 2025-10-10T01:58:00.1421528Z CONTINUE_THROUGH_ERROR: True 2025-10-10T01:58:00.1421804Z VERBOSE_TEST_LOGS: False 2025-10-10T01:58:00.1422072Z TEST_SHOWLOCALS: False 2025-10-10T01:58:00.1422333Z NO_TEST_TIMEOUT: False 2025-10-10T01:58:00.1422582Z NO_TD: False 2025-10-10T01:58:00.1422821Z TD_DISTRIBUTED: False 2025-10-10T01:58:00.1423133Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-10-10T01:58:00.1423483Z SCCACHE_REGION: us-east-1 2025-10-10T01:58:00.1423739Z SHM_SIZE: 2g 2025-10-10T01:58:00.1424592Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac 2025-10-10T01:58:00.1425509Z XLA_CUDA: 2025-10-10T01:58:00.1425860Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-10-10T01:58:00.1426302Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-10-10T01:58:00.1426623Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-10-10T01:58:00.1426915Z DASHBOARD_TAG: 2025-10-10T01:58:00.1427340Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-10-10T01:58:00.1427738Z HUGGING_FACE_HUB_TOKEN: *** 2025-10-10T01:58:00.1428133Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-10-10T01:58:00.1428633Z ARTIFACTS_FILE_SUFFIX: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_52409452359 2025-10-10T01:58:00.1429137Z ##[endgroup] 2025-10-10T01:58:00.1458833Z + [[ inductor_torchbench == \m\u\l\t\i\g\p\u ]] 2025-10-10T01:58:00.1459244Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *onnx* ]] 2025-10-10T01:58:00.1459603Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-10-10T01:58:00.1463264Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-10-10T01:58:00.1497486Z + TOTAL_AVAILABLE_MEMORY_IN_GB='61.094 ' 2025-10-10T01:58:00.1498098Z + TOTAL_MEMORY_WITH_SWAP=64 2025-10-10T01:58:00.1498731Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *\s\3\9\0\x* ]] 2025-10-10T01:58:00.1499394Z + SHM_OPTS=--shm-size=2g 2025-10-10T01:58:00.1499875Z + JENKINS_USER='--user jenkins' 2025-10-10T01:58:00.1500360Z + DOCKER_SHELL_CMD= 2025-10-10T01:58:00.1506898Z +++ nproc --ignore=2 2025-10-10T01:58:00.1538457Z ++ 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_18392306145 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=2g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac 2025-10-10T01:58:13.1135826Z + container_name=f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T01:58:13.1136538Z + echo DOCKER_CONTAINER_ID=f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T01:58:13.1137189Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *\s\3\9\0\x* ]] 2025-10-10T01:58:13.1146096Z ++ echo dist/torch-2.10.0a0+git344e636-cp310-cp310-linux_x86_64.whl 2025-10-10T01:58:13.1149276Z + docker exec -t f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 sh -c 'python3 -m pip install dist/torch-2.10.0a0+git344e636-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-10-10T01:58:13.7176573Z Processing ./dist/torch-2.10.0a0+git344e636-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+git344e636) 2025-10-10T01:58:14.0349635Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (3.18.0) 2025-10-10T01:58:14.0353309Z 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+git344e636->torch==2.10.0a0+git344e636) (4.15.0) 2025-10-10T01:58:14.0357572Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (1.13.3) 2025-10-10T01:58:14.0362508Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (2.8.8) 2025-10-10T01:58:14.0365307Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (3.1.6) 2025-10-10T01:58:14.0370162Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (2025.9.0) 2025-10-10T01:58:14.0382738Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (3.3.0) 2025-10-10T01:58:14.0776462Z 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+git344e636->torch==2.10.0a0+git344e636) (1.22.4) 2025-10-10T01:58:14.0794996Z 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+git344e636->torch==2.10.0a0+git344e636) (1.3.0) 2025-10-10T01:58:14.0853338Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (3.0.3) 2025-10-10T01:58:15.0284371Z Installing collected packages: torch 2025-10-10T01:58:26.0313842Z 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. 2025-10-10T01:58:26.0314842Z dall-e 0.1 requires torchvision, which is not installed. 2025-10-10T01:58:26.0315263Z effdet 0.4.1 requires torchvision, which is not installed. 2025-10-10T01:58:26.0316129Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed. 2025-10-10T01:58:26.0316715Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-10-10T01:58:26.0317419Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-10-10T01:58:26.0318125Z timm 1.0.14 requires torchvision, which is not installed. 2025-10-10T01:58:26.0318601Z Successfully installed torch-2.10.0a0+git344e636 2025-10-10T01:58:26.1462034Z + export TERM=vt100 2025-10-10T01:58:26.1462377Z + TERM=vt100 2025-10-10T01:58:26.1465504Z ++ dirname .ci/pytorch/test.sh 2025-10-10T01:58:26.1579906Z + source .ci/pytorch/common.sh 2025-10-10T01:58:26.1584258Z +++ dirname .ci/pytorch/common.sh 2025-10-10T01:58:26.1594300Z ++ source .ci/pytorch/common_utils.sh 2025-10-10T01:58:26.1595119Z +++ declare -f -t trap_add 2025-10-10T01:58:26.1600521Z ++ set -ex -o pipefail 2025-10-10T01:58:26.1600986Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *rocm* ]] 2025-10-10T01:58:26.1601457Z ++ BUILD_TEST_LIBTORCH=0 2025-10-10T01:58:26.1604967Z ++ dirname .ci/pytorch/test.sh 2025-10-10T01:58:26.1615089Z + source .ci/pytorch/common-build.sh 2025-10-10T01:58:26.1617163Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *win-* ]] 2025-10-10T01:58:26.1624660Z ++++ dirname .ci/pytorch/common-build.sh 2025-10-10T01:58:26.1634894Z +++ cd .ci/pytorch 2025-10-10T01:58:26.1635242Z +++ pwd -P 2025-10-10T01:58:26.1638835Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-10-10T01:58:26.1639297Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *-pch* ]] 2025-10-10T01:58:26.1639647Z ++ which sccache 2025-10-10T01:58:26.1767755Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-10-10T01:58:26.1768103Z ++ sccache --stop-server 2025-10-10T01:58:26.1802680Z ++ true 2025-10-10T01:58:26.1802930Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-10-10T01:58:26.1949314Z ++ trap_add sccache_epilogue EXIT 2025-10-10T01:58:26.1949776Z ++ trap_add_cmd=sccache_epilogue 2025-10-10T01:58:26.1950175Z ++ shift 2025-10-10T01:58:26.1950514Z ++ for trap_add_name in "$@" 2025-10-10T01:58:26.1956477Z ++++ trap -p EXIT 2025-10-10T01:58:26.1959757Z +++ eval 'extract_trap_cmd ' 2025-10-10T01:58:26.1960115Z ++++ extract_trap_cmd 2025-10-10T01:58:26.1960423Z ++++ printf '%s\n' '' 2025-10-10T01:58:26.1960753Z +++ printf '%s\n' sccache_epilogue 2025-10-10T01:58:26.1963312Z ++ trap -- ' 2025-10-10T01:58:26.1963613Z sccache_epilogue' EXIT 2025-10-10T01:58:26.1963928Z ++ [[ -n 1 ]] 2025-10-10T01:58:26.1964422Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-10-10T01:58:26.1965364Z Skipping sccache server initialization, setting environment variables 2025-10-10T01:58:26.1965993Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-10-10T01:58:26.1966417Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-10-10T01:58:26.1966902Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-10-10T01:58:26.1967456Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-10-10T01:58:26.1977403Z ++ export RUST_LOG=sccache::server=error 2025-10-10T01:58:26.1977764Z ++ RUST_LOG=sccache::server=error 2025-10-10T01:58:26.1978065Z ++ sccache --zero-stats 2025-10-10T01:58:26.5805696Z Statistics zeroed. 2025-10-10T01:58:26.5813683Z ++ which ccache 2025-10-10T01:58:26.5903433Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *rocm* ]] 2025-10-10T01:58:26.5903879Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *s390x* ]] 2025-10-10T01:58:26.5904260Z + [[ -d /var/lib/jenkins/workspace ]] 2025-10-10T01:58:26.5907556Z ++ stat -c %u /var/lib/jenkins/workspace 2025-10-10T01:58:26.5964564Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-10-10T01:58:26.5964886Z + trap_add cleanup_workspace EXIT 2025-10-10T01:58:26.5965196Z + trap_add_cmd=cleanup_workspace 2025-10-10T01:58:26.5965471Z + shift 2025-10-10T01:58:26.5965696Z + for trap_add_name in "$@" 2025-10-10T01:58:26.5975935Z +++ trap -p EXIT 2025-10-10T01:58:26.5979739Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-10-10T01:58:26.5980350Z sccache_epilogue'\'' EXIT' 2025-10-10T01:58:26.5980666Z +++ extract_trap_cmd trap -- ' 2025-10-10T01:58:26.5980945Z sccache_epilogue' EXIT 2025-10-10T01:58:26.5981203Z +++ printf '%s\n' ' 2025-10-10T01:58:26.5981438Z sccache_epilogue' 2025-10-10T01:58:26.5981712Z ++ printf '%s\n' cleanup_workspace 2025-10-10T01:58:26.5984013Z + trap -- ' 2025-10-10T01:58:26.5984312Z sccache_epilogue 2025-10-10T01:58:26.5984543Z cleanup_workspace' EXIT 2025-10-10T01:58:26.5984837Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-10-10T01:58:27.8152765Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-10-10T01:58:27.8289717Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *cuda* ]] 2025-10-10T01:58:27.8293364Z ++ python -c 'import os;import numba.cuda; print(os.path.dirname(numba.cuda.__file__))' 2025-10-10T01:58:28.2063380Z + NUMBA_CUDA_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-10-10T01:58:28.2063968Z + '[' -n /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ']' 2025-10-10T01:58:28.2071203Z +++ realpath .ci/pytorch/test.sh 2025-10-10T01:58:28.2098562Z ++ dirname /var/lib/jenkins/workspace/.ci/pytorch/test.sh 2025-10-10T01:58:28.2120005Z + NUMBA_PATCH=/var/lib/jenkins/workspace/.ci/pytorch/numba-cuda-13.patch 2025-10-10T01:58:28.2120631Z + pushd /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-10-10T01:58:28.2121165Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ~/workspace 2025-10-10T01:58:28.2121579Z + patch -p4 2025-10-10T01:58:28.2162856Z patching file cudadrv/driver.py 2025-10-10T01:58:28.2167244Z + popd 2025-10-10T01:58:28.2167505Z ~/workspace 2025-10-10T01:58:28.2167726Z + echo 'Environment variables:' 2025-10-10T01:58:28.2168002Z Environment variables: 2025-10-10T01:58:28.2168233Z + env 2025-10-10T01:58:28.2189821Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-10-10T01:58:28.2190421Z CONTINUE_THROUGH_ERROR=True 2025-10-10T01:58:28.2190872Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm86 2025-10-10T01:58:28.2191659Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-10-10T01:58:28.2192059Z HOSTNAME=f358c7834c9e 2025-10-10T01:58:28.2192620Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_de0a379b-b60e-4832-a1a9-5a0cf1316c0b 2025-10-10T01:58:28.2193202Z GITHUB_ACTION=__run_2 2025-10-10T01:58:28.2193474Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-10-10T01:58:28.2193770Z GITHUB_RUN_NUMBER=158985 2025-10-10T01:58:28.2194043Z TEST_CONFIG=inductor_torchbench 2025-10-10T01:58:28.2194329Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-10-10T01:58:28.2194762Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-10-10T01:58:28.2195076Z SCCACHE_IDLE_TIMEOUT=0 2025-10-10T01:58:28.2195460Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-10-10T01:58:28.2195779Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-10-10T01:58:28.2196083Z GITHUB_REF_TYPE=branch 2025-10-10T01:58:28.2196375Z BASE_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e 2025-10-10T01:58:28.2196699Z XLA_CUDA= 2025-10-10T01:58:28.2196995Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-10-10T01:58:28.2197392Z HUGGING_FACE_HUB_TOKEN=*** 2025-10-10T01:58:28.2197927Z *** 2025-10-10T01:58:28.2198236Z GITHUB_REPOSITORY_ID=65600975 2025-10-10T01:58:28.2198561Z GITHUB_ACTIONS=true 2025-10-10T01:58:28.2198807Z NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T01:58:28.2199138Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-10-10T01:58:28.2199519Z SHA1=344e6365a0068c2d2847fcec0c55dd53291d475e 2025-10-10T01:58:28.2199882Z GITHUB_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e 2025-10-10T01:58:28.2200377Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main 2025-10-10T01:58:28.2200818Z UCC_HOME=/usr 2025-10-10T01:58:28.2201048Z VERBOSE_TEST_LOGS=False 2025-10-10T01:58:28.2201304Z GITHUB_REF=refs/heads/main 2025-10-10T01:58:28.2201559Z SHARD_NUMBER=2 2025-10-10T01:58:28.2201801Z GITHUB_REF_PROTECTED=true 2025-10-10T01:58:28.2202059Z HOME=/var/lib/jenkins 2025-10-10T01:58:28.2202600Z GITHUB_API_URL=https://api.github.com 2025-10-10T01:58:28.2203187Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-10-10T01:58:28.2203518Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-10-10T01:58:28.2203852Z USE_SYSTEM_NCCL=1 2025-10-10T01:58:28.2204084Z NUM_TEST_SHARDS=2 2025-10-10T01:58:28.2204309Z UCX_HOME=/usr 2025-10-10T01:58:28.2204857Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_de0a379b-b60e-4832-a1a9-5a0cf1316c0b 2025-10-10T01:58:28.2205608Z JOB_NAME=inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-10-10T01:58:28.2206347Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_de0a379b-b60e-4832-a1a9-5a0cf1316c0b 2025-10-10T01:58:28.2207086Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-10-10T01:58:28.2207549Z GITHUB_EVENT_NAME=push 2025-10-10T01:58:28.2207800Z DASHBOARD_TAG= 2025-10-10T01:58:28.2208027Z GITHUB_RUN_ID=18392306145 2025-10-10T01:58:28.2218909Z INSTALLED_OPENBLAS= 2025-10-10T01:58:28.2219724Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_de0a379b-b60e-4832-a1a9-5a0cf1316c0b 2025-10-10T01:58:28.2220366Z GITHUB_ACTOR=pytorchmergebot 2025-10-10T01:58:28.2220638Z PR_NUMBER= 2025-10-10T01:58:28.2220859Z DESIRED_CUDA=12.8.1 2025-10-10T01:58:28.2221097Z GITHUB_RUN_ATTEMPT=1 2025-10-10T01:58:28.2221341Z ANACONDA_PYTHON_VERSION=3.10 2025-10-10T01:58:28.2221671Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-10-10T01:58:28.2222004Z TERM=vt100 2025-10-10T01:58:28.2222213Z INSTALLED_VISION=yes 2025-10-10T01:58:28.2222455Z BRANCH=main 2025-10-10T01:58:28.2222676Z SCCACHE_REGION=us-east-1 2025-10-10T01:58:28.2222942Z OPENSSL_ROOT_DIR=/opt/openssl 2025-10-10T01:58:28.2223212Z CUDA_PATH=/usr/local/cuda 2025-10-10T01:58:28.2223702Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-10-10T01:58:28.2224238Z GITHUB_SERVER_URL=https://github.com 2025-10-10T01:58:28.2224590Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-10-10T01:58:28.2224923Z REENABLED_ISSUES= 2025-10-10T01:58:28.2225137Z DOCS= 2025-10-10T01:58:28.2225342Z SHLVL=1 2025-10-10T01:58:28.2225543Z MAX_JOBS=14 2025-10-10T01:58:28.2225753Z GITHUB_ACTOR_ID=97764156 2025-10-10T01:58:28.2226086Z GITHUB_WORKFLOW_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e 2025-10-10T01:58:28.2226444Z GITHUB_REF_NAME=main 2025-10-10T01:58:28.2226815Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-10-10T01:58:28.2227211Z GITHUB_JOB=test 2025-10-10T01:58:28.2227440Z NO_TEST_TIMEOUT=False 2025-10-10T01:58:28.2227683Z TD_DISTRIBUTED=False 2025-10-10T01:58:28.2227944Z GITHUB_REPOSITORY=pytorch/pytorch 2025-10-10T01:58:28.2228234Z GITHUB_RETENTION_DAYS=90 2025-10-10T01:58:28.2228491Z OPENSSL_DIR=/opt/openssl 2025-10-10T01:58:28.2228756Z GITHUB_ACTION_REPOSITORY= 2025-10-10T01:58:28.2229461Z 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 2025-10-10T01:58:28.2230189Z GITHUB_BASE_REF= 2025-10-10T01:58:28.2230447Z INSTALLED_ACL= 2025-10-10T01:58:28.2230897Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_52409452359 2025-10-10T01:58:28.2231383Z CI=true 2025-10-10T01:58:28.2231611Z GITHUB_REPOSITORY_OWNER=pytorch 2025-10-10T01:58:28.2231917Z RUST_LOG=sccache::server=error 2025-10-10T01:58:28.2232187Z JOB_ID=52409452359 2025-10-10T01:58:28.2232412Z GITHUB_HEAD_REF= 2025-10-10T01:58:28.2232629Z GITHUB_ACTION_REF= 2025-10-10T01:58:28.2232917Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-10-10T01:58:28.2233255Z TEST_SHOWLOCALS=False 2025-10-10T01:58:28.2233504Z GITHUB_WORKFLOW=inductor 2025-10-10T01:58:28.2233766Z DEBIAN_FRONTEND=noninteractive 2025-10-10T01:58:28.2234349Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_de0a379b-b60e-4832-a1a9-5a0cf1316c0b 2025-10-10T01:58:28.2235066Z NO_TD=False 2025-10-10T01:58:28.2235390Z SKIP_SCCACHE_INITIALIZATION=1 2025-10-10T01:58:28.2235685Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-10-10T01:58:28.2235972Z _=/usr/bin/env 2025-10-10T01:58:28.2236317Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-10-10T01:58:28.2236803Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-10-10T01:58:28.2446000Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-10-10T01:58:28.2446786Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-10-10T01:58:28.2447526Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-10-10T01:58:28.2448163Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-10-10T01:58:28.2448589Z + BUILD_DIR=build 2025-10-10T01:58:28.2448839Z + BUILD_RENAMED_DIR=build_renamed 2025-10-10T01:58:28.2449122Z + BUILD_BIN_DIR=build/bin 2025-10-10T01:58:28.2449379Z + SHARD_NUMBER=2 2025-10-10T01:58:28.2449669Z + NUM_TEST_SHARDS=2 2025-10-10T01:58:28.2450013Z + export TORCH_SERIALIZATION_DEBUG=1 2025-10-10T01:58:28.2450421Z + TORCH_SERIALIZATION_DEBUG=1 2025-10-10T01:58:28.2450954Z + export VALGRIND=ON 2025-10-10T01:58:28.2451208Z + VALGRIND=ON 2025-10-10T01:58:28.2451512Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *clang9* ]] 2025-10-10T01:58:28.2451918Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *xpu* ]] 2025-10-10T01:58:28.2452256Z + detect_cuda_arch 2025-10-10T01:58:28.2452551Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *cuda* ]] 2025-10-10T01:58:28.2452902Z + command -v nvidia-smi 2025-10-10T01:58:28.2453152Z /usr/bin/nvidia-smi 2025-10-10T01:58:28.2457676Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-10-10T01:58:28.2458122Z ++ tail -n 1 2025-10-10T01:58:28.2714773Z + TORCH_CUDA_ARCH_LIST=8.6 2025-10-10T01:58:28.2715080Z + export TORCH_CUDA_ARCH_LIST 2025-10-10T01:58:28.2715527Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *s390x* ]] 2025-10-10T01:58:28.2715876Z + [[ 0 == \1 ]] 2025-10-10T01:58:28.2716156Z + [[ True == \1 ]] 2025-10-10T01:58:28.2716494Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *bazel* ]] 2025-10-10T01:58:28.2720346Z ++ realpath build/custom_test_artifacts 2025-10-10T01:58:28.2743766Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-10-10T01:58:28.2744242Z + [[ -n '' ]] 2025-10-10T01:58:28.2744485Z + echo 'Environment variables' 2025-10-10T01:58:28.2744758Z Environment variables 2025-10-10T01:58:28.2744995Z + env 2025-10-10T01:58:28.2767564Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-10-10T01:58:28.2768179Z CONTINUE_THROUGH_ERROR=True 2025-10-10T01:58:28.2768664Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm86 2025-10-10T01:58:28.2769352Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-10-10T01:58:28.2769641Z HOSTNAME=f358c7834c9e 2025-10-10T01:58:28.2770269Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_de0a379b-b60e-4832-a1a9-5a0cf1316c0b 2025-10-10T01:58:28.2771122Z GITHUB_ACTION=__run_2 2025-10-10T01:58:28.2771475Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-10-10T01:58:28.2771938Z GITHUB_RUN_NUMBER=158985 2025-10-10T01:58:28.2772216Z TEST_CONFIG=inductor_torchbench 2025-10-10T01:58:28.2772509Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-10-10T01:58:28.2772820Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-10-10T01:58:28.2773131Z SCCACHE_IDLE_TIMEOUT=0 2025-10-10T01:58:28.2773533Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-10-10T01:58:28.2773838Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-10-10T01:58:28.2774172Z GITHUB_REF_TYPE=branch 2025-10-10T01:58:28.2774416Z TORCH_CUDA_ARCH_LIST=8.6 2025-10-10T01:58:28.2774719Z BASE_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e 2025-10-10T01:58:28.2775042Z XLA_CUDA= 2025-10-10T01:58:28.2775275Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-10-10T01:58:28.2775813Z HUGGING_FACE_HUB_TOKEN=*** 2025-10-10T01:58:28.2776111Z *** 2025-10-10T01:58:28.2776332Z GITHUB_REPOSITORY_ID=65600975 2025-10-10T01:58:28.2776608Z GITHUB_ACTIONS=true 2025-10-10T01:58:28.2777061Z NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T01:58:28.2777387Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-10-10T01:58:28.2777766Z SHA1=344e6365a0068c2d2847fcec0c55dd53291d475e 2025-10-10T01:58:28.2778125Z GITHUB_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e 2025-10-10T01:58:28.2778629Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main 2025-10-10T01:58:28.2779072Z UCC_HOME=/usr 2025-10-10T01:58:28.2779311Z TORCH_SERIALIZATION_DEBUG=1 2025-10-10T01:58:28.2779597Z VERBOSE_TEST_LOGS=False 2025-10-10T01:58:28.2779856Z GITHUB_REF=refs/heads/main 2025-10-10T01:58:28.2780106Z SHARD_NUMBER=2 2025-10-10T01:58:28.2780344Z GITHUB_REF_PROTECTED=true 2025-10-10T01:58:28.2780606Z HOME=/var/lib/jenkins 2025-10-10T01:58:28.2780878Z GITHUB_API_URL=https://api.github.com 2025-10-10T01:58:28.2781196Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-10-10T01:58:28.2781534Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-10-10T01:58:28.2781859Z USE_SYSTEM_NCCL=1 2025-10-10T01:58:28.2782093Z NUM_TEST_SHARDS=2 2025-10-10T01:58:28.2782311Z UCX_HOME=/usr 2025-10-10T01:58:28.2782975Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_de0a379b-b60e-4832-a1a9-5a0cf1316c0b 2025-10-10T01:58:28.2783738Z JOB_NAME=inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-10-10T01:58:28.2784484Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_de0a379b-b60e-4832-a1a9-5a0cf1316c0b 2025-10-10T01:58:28.2785223Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-10-10T01:58:28.2785681Z GITHUB_EVENT_NAME=push 2025-10-10T01:58:28.2785926Z DASHBOARD_TAG= 2025-10-10T01:58:28.2786153Z GITHUB_RUN_ID=18392306145 2025-10-10T01:58:28.2786408Z INSTALLED_OPENBLAS= 2025-10-10T01:58:28.2786975Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_de0a379b-b60e-4832-a1a9-5a0cf1316c0b 2025-10-10T01:58:28.2787608Z GITHUB_ACTOR=pytorchmergebot 2025-10-10T01:58:28.2787883Z PR_NUMBER= 2025-10-10T01:58:28.2788096Z DESIRED_CUDA=12.8.1 2025-10-10T01:58:28.2788332Z GITHUB_RUN_ATTEMPT=1 2025-10-10T01:58:28.2788572Z VALGRIND=ON 2025-10-10T01:58:28.2788800Z ANACONDA_PYTHON_VERSION=3.10 2025-10-10T01:58:28.2789117Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-10-10T01:58:28.2789455Z TERM=vt100 2025-10-10T01:58:28.2789666Z INSTALLED_VISION=yes 2025-10-10T01:58:28.2789902Z BRANCH=main 2025-10-10T01:58:28.2790117Z SCCACHE_REGION=us-east-1 2025-10-10T01:58:28.2790408Z OPENSSL_ROOT_DIR=/opt/openssl 2025-10-10T01:58:28.2790707Z CUDA_PATH=/usr/local/cuda 2025-10-10T01:58:28.2791191Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-10-10T01:58:28.2791721Z GITHUB_SERVER_URL=https://github.com 2025-10-10T01:58:28.2792064Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-10-10T01:58:28.2792389Z REENABLED_ISSUES= 2025-10-10T01:58:28.2792610Z DOCS= 2025-10-10T01:58:28.2792802Z SHLVL=1 2025-10-10T01:58:28.2793007Z MAX_JOBS=14 2025-10-10T01:58:28.2793225Z GITHUB_ACTOR_ID=97764156 2025-10-10T01:58:28.2793564Z GITHUB_WORKFLOW_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e 2025-10-10T01:58:28.2793919Z GITHUB_REF_NAME=main 2025-10-10T01:58:28.2794289Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-10-10T01:58:28.2794783Z GITHUB_JOB=test 2025-10-10T01:58:28.2795011Z NO_TEST_TIMEOUT=False 2025-10-10T01:58:28.2795248Z TD_DISTRIBUTED=False 2025-10-10T01:58:28.2795509Z GITHUB_REPOSITORY=pytorch/pytorch 2025-10-10T01:58:28.2795801Z GITHUB_RETENTION_DAYS=90 2025-10-10T01:58:28.2796069Z OPENSSL_DIR=/opt/openssl 2025-10-10T01:58:28.2796323Z GITHUB_ACTION_REPOSITORY= 2025-10-10T01:58:28.2797033Z 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 2025-10-10T01:58:28.2797763Z GITHUB_BASE_REF= 2025-10-10T01:58:28.2797993Z INSTALLED_ACL= 2025-10-10T01:58:28.2798422Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_52409452359 2025-10-10T01:58:28.2799007Z CI=true 2025-10-10T01:58:28.2799239Z GITHUB_REPOSITORY_OWNER=pytorch 2025-10-10T01:58:28.2799553Z RUST_LOG=sccache::server=error 2025-10-10T01:58:28.2799812Z JOB_ID=52409452359 2025-10-10T01:58:28.2800039Z GITHUB_HEAD_REF= 2025-10-10T01:58:28.2800271Z GITHUB_ACTION_REF= 2025-10-10T01:58:28.2800557Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-10-10T01:58:28.2800891Z TEST_SHOWLOCALS=False 2025-10-10T01:58:28.2801142Z GITHUB_WORKFLOW=inductor 2025-10-10T01:58:28.2801412Z DEBIAN_FRONTEND=noninteractive 2025-10-10T01:58:28.2801993Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_de0a379b-b60e-4832-a1a9-5a0cf1316c0b 2025-10-10T01:58:28.2802868Z NO_TD=False 2025-10-10T01:58:28.2803101Z SKIP_SCCACHE_INITIALIZATION=1 2025-10-10T01:58:28.2803400Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-10-10T01:58:28.2803825Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-10-10T01:58:28.2804222Z _=/usr/bin/env 2025-10-10T01:58:28.2804451Z + echo 'Testing pytorch' 2025-10-10T01:58:28.2804702Z Testing pytorch 2025-10-10T01:58:28.2805094Z + export LANG=C.UTF-8 2025-10-10T01:58:28.2805334Z + LANG=C.UTF-8 2025-10-10T01:58:28.2837986Z + PR_NUMBER= 2025-10-10T01:58:28.2838819Z + [[ inductor_torchbench == \d\e\f\a\u\l\t ]] 2025-10-10T01:58:28.2839238Z + [[ inductor_torchbench == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-10-10T01:58:28.2839577Z + [[ inductor_torchbench == \s\l\o\w ]] 2025-10-10T01:58:28.2839965Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *slow-gradcheck* ]] 2025-10-10T01:58:28.2840424Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *cuda* ]] 2025-10-10T01:58:28.2840814Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-10-10T01:58:28.2841140Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-10-10T01:58:28.2841442Z + [[ inductor_torchbench == *crossref* ]] 2025-10-10T01:58:28.2841789Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *rocm* ]] 2025-10-10T01:58:28.2842189Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *xpu* ]] 2025-10-10T01:58:28.2842587Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *-bazel-* ]] 2025-10-10T01:58:28.2842941Z + pip_install ninja==1.10.2 2025-10-10T01:58:28.2843290Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-10-10T01:58:28.2843719Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-10-10T01:58:28.7294384Z Collecting ninja==1.10.2 2025-10-10T01:58:28.7471692Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-10-10T01:58:28.7677475Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-10-10T01:58:29.7053477Z Installing collected packages: ninja 2025-10-10T01:58:29.7054162Z Attempting uninstall: ninja 2025-10-10T01:58:29.7063815Z Found existing installation: ninja 1.11.1.4 2025-10-10T01:58:29.7089539Z Uninstalling ninja-1.11.1.4: 2025-10-10T01:58:29.7182821Z Successfully uninstalled ninja-1.11.1.4 2025-10-10T01:58:29.7916922Z Successfully installed ninja-1.10.2 2025-10-10T01:58:29.8880696Z + 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 2025-10-10T01:58:29.8882292Z + 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 2025-10-10T01:58:29.8883197Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *aarch64* ]] 2025-10-10T01:58:29.8883617Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *asan* ]] 2025-10-10T01:58:29.8884015Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *-debug* ]] 2025-10-10T01:58:29.8884435Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *-bazel-* ]] 2025-10-10T01:58:29.8884991Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm86. Expect the assertion to pass' 2025-10-10T01:58:29.8886031Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm86. Expect the assertion to pass 2025-10-10T01:58:29.8886489Z + cd test 2025-10-10T01:58:29.8886834Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-10-10T01:58:31.1651912Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T01:58:31.1653201Z import pynvml # type: ignore[import] 2025-10-10T01:58:33.6035262Z + [[ inductor_torchbench == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-10-10T01:58:33.6035806Z + [[ inductor_torchbench == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-10-10T01:58:33.6036367Z + [[ inductor_torchbench == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-10-10T01:58:33.6040787Z + DYNAMO_BENCHMARK_FLAGS=() 2025-10-10T01:58:33.6041143Z + [[ inductor_torchbench == *pr_time_benchmarks* ]] 2025-10-10T01:58:33.6041522Z + [[ inductor_torchbench == *dynamo_eager* ]] 2025-10-10T01:58:33.6042116Z + [[ inductor_torchbench == *aot_eager* ]] 2025-10-10T01:58:33.6042511Z + [[ inductor_torchbench == *aot_inductor* ]] 2025-10-10T01:58:33.6042866Z + [[ inductor_torchbench == *max_autotune_inductor* ]] 2025-10-10T01:58:33.6043288Z + [[ inductor_torchbench == *inductor* ]] 2025-10-10T01:58:33.6043597Z + [[ inductor_torchbench != *perf* ]] 2025-10-10T01:58:33.6043909Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor) 2025-10-10T01:58:33.6044215Z + [[ inductor_torchbench == *dynamic* ]] 2025-10-10T01:58:33.6044520Z + [[ inductor_torchbench == *cpu* ]] 2025-10-10T01:58:33.6044818Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-10-10T01:58:33.6073369Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *libtorch* ]] 2025-10-10T01:58:33.6073838Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *-bazel-* ]] 2025-10-10T01:58:33.6078215Z + cd test 2025-10-10T01:58:33.6078698Z + python -c 'import torch; print(torch.__config__.show())' 2025-10-10T01:58:34.1877709Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T01:58:34.1878960Z import pynvml # type: ignore[import] 2025-10-10T01:58:35.3106170Z PyTorch built with: 2025-10-10T01:58:35.3106562Z - GCC 9.5 2025-10-10T01:58:35.3106857Z - C++ Version: 201703 2025-10-10T01:58:35.3107605Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-10-10T01:58:35.3108561Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-10-10T01:58:35.3109161Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-10-10T01:58:35.3109622Z - LAPACK is enabled (usually provided by MKL) 2025-10-10T01:58:35.3110067Z - NNPACK is enabled 2025-10-10T01:58:35.3110443Z - CPU capability usage: AVX2 2025-10-10T01:58:35.3110820Z - CUDA Runtime 12.8 2025-10-10T01:58:35.3111299Z - NVCC architecture flags: -gencode;arch=compute_86,code=sm_86 2025-10-10T01:58:35.3111825Z - CuDNN 90.8 2025-10-10T01:58:35.3118023Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e, CUDA_VERSION=12.8, CUDNN_VERSION=9.8.0, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=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, 2025-10-10T01:58:35.3124755Z 2025-10-10T01:58:35.6948300Z + cd test 2025-10-10T01:58:35.6948671Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-10-10T01:58:36.2758868Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T01:58:36.2760051Z import pynvml # type: ignore[import] 2025-10-10T01:58:37.0801973Z ATen/Parallel: 2025-10-10T01:58:37.0802946Z at::get_num_threads() : 8 2025-10-10T01:58:37.0803361Z at::get_num_interop_threads() : 16 2025-10-10T01:58:37.0804012Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-10-10T01:58:37.0804377Z omp_get_max_threads() : 8 2025-10-10T01:58:37.0804900Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-10-10T01:58:37.0805433Z mkl_get_max_threads() : 8 2025-10-10T01:58:37.0805793Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-10-10T01:58:37.0806216Z std::thread::hardware_concurrency() : 16 2025-10-10T01:58:37.0806509Z Environment variables: 2025-10-10T01:58:37.0806759Z OMP_NUM_THREADS : [not set] 2025-10-10T01:58:37.0807019Z MKL_NUM_THREADS : [not set] 2025-10-10T01:58:37.0807283Z ATen parallel backend: OpenMP 2025-10-10T01:58:37.0807454Z 2025-10-10T01:58:37.4282341Z + [[ inductor_torchbench == *numpy_2* ]] 2025-10-10T01:58:37.4282751Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *aarch64* ]] 2025-10-10T01:58:37.4283247Z + [[ inductor_torchbench == *backward* ]] 2025-10-10T01:58:37.4283559Z + [[ inductor_torchbench == *xla* ]] 2025-10-10T01:58:37.4283869Z + [[ inductor_torchbench == *vllm* ]] 2025-10-10T01:58:37.4284183Z + [[ inductor_torchbench == *executorch* ]] 2025-10-10T01:58:37.4284528Z + [[ inductor_torchbench == \j\i\t\_\l\e\g\a\c\y ]] 2025-10-10T01:58:37.4284889Z + [[ inductor_torchbench == \q\u\a\n\t\i\z\a\t\i\o\n ]] 2025-10-10T01:58:37.4285292Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *libtorch* ]] 2025-10-10T01:58:37.4285673Z + [[ inductor_torchbench == distributed ]] 2025-10-10T01:58:37.4286020Z + [[ inductor_torchbench == *operator_benchmark* ]] 2025-10-10T01:58:37.4286400Z + [[ inductor_torchbench == *operator_microbenchmark* ]] 2025-10-10T01:58:37.4286793Z + [[ inductor_torchbench == *inductor_distributed* ]] 2025-10-10T01:58:37.4287160Z + [[ inductor_torchbench == *inductor-halide* ]] 2025-10-10T01:58:37.4287541Z + [[ inductor_torchbench == *inductor-triton-cpu* ]] 2025-10-10T01:58:37.4288038Z + [[ inductor_torchbench == *inductor-micro-benchmark* ]] 2025-10-10T01:58:37.4288512Z + [[ inductor_torchbench == *huggingface* ]] 2025-10-10T01:58:37.4288850Z + [[ inductor_torchbench == *timm* ]] 2025-10-10T01:58:37.4289231Z + [[ inductor_torchbench == cachebench ]] 2025-10-10T01:58:37.4289567Z + [[ inductor_torchbench == verify_cachebench ]] 2025-10-10T01:58:37.4289899Z + [[ inductor_torchbench == *torchbench* ]] 2025-10-10T01:58:37.4290209Z + install_torchaudio 2025-10-10T01:58:37.4290452Z + local commit 2025-10-10T01:58:37.4290689Z ++ get_pinned_commit audio 2025-10-10T01:58:37.4290965Z ++ cat .github/ci_commit_pins/audio.txt 2025-10-10T01:58:37.4320837Z + commit=87ff22e49ed0e92576c4935ccb8c143daac4a3cd 2025-10-10T01:58:37.4321584Z + pip_build_and_install git+https://github.com/pytorch/audio.git@87ff22e49ed0e92576c4935ccb8c143daac4a3cd dist/audio 2025-10-10T01:58:37.4322454Z + local build_target=git+https://github.com/pytorch/audio.git@87ff22e49ed0e92576c4935ccb8c143daac4a3cd 2025-10-10T01:58:37.4323294Z + local wheel_dir=dist/audio 2025-10-10T01:58:37.4323556Z + local found_whl=0 2025-10-10T01:58:37.4323843Z + for file in "${wheel_dir}"/*.whl 2025-10-10T01:58:37.4324313Z + [[ -f dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl ]] 2025-10-10T01:58:37.4324734Z + found_whl=1 2025-10-10T01:58:37.4324943Z + break 2025-10-10T01:58:37.4325145Z + '[' 1 == 0 ']' 2025-10-10T01:58:37.4325383Z + for file in "${wheel_dir}"/*.whl 2025-10-10T01:58:37.4325838Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl 2025-10-10T01:58:37.4326428Z + args=('dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl') 2025-10-10T01:58:37.4326847Z + local args 2025-10-10T01:58:37.4327218Z + [[ dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-10-10T01:58:37.4327667Z + for path in "${args[@]}" 2025-10-10T01:58:37.4328096Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl' 2025-10-10T01:58:37.4328720Z Installing dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl 2025-10-10T01:58:37.4329566Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl 2025-10-10T01:58:37.8123837Z Processing ./dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl 2025-10-10T01:58:37.8186693Z Installing collected packages: torchaudio 2025-10-10T01:58:38.0338297Z Successfully installed torchaudio-2.8.0a0+87ff22e 2025-10-10T01:58:38.0717939Z + install_torchvision 2025-10-10T01:58:38.0718220Z + local orig_preload 2025-10-10T01:58:38.0718463Z + local commit 2025-10-10T01:58:38.0723127Z ++ get_pinned_commit vision 2025-10-10T01:58:38.0723601Z ++ cat .github/ci_commit_pins/vision.txt 2025-10-10T01:58:38.0751823Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-10-10T01:58:38.0752201Z + orig_preload= 2025-10-10T01:58:38.0752444Z + '[' -n '' ']' 2025-10-10T01:58:38.0752746Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *cuda* ]] 2025-10-10T01:58:38.0753200Z + export FORCE_CUDA=1 2025-10-10T01:58:38.0753516Z + FORCE_CUDA=1 2025-10-10T01:58:38.0753738Z + export WITH_CUDA=1 2025-10-10T01:58:38.0753983Z + WITH_CUDA=1 2025-10-10T01:58:38.0754620Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-10-10T01:58:38.0755429Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-10-10T01:58:38.0755967Z + local wheel_dir=dist/vision 2025-10-10T01:58:38.0756244Z + local found_whl=0 2025-10-10T01:58:38.0756506Z + for file in "${wheel_dir}"/*.whl 2025-10-10T01:58:38.0756943Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl ]] 2025-10-10T01:58:38.0757370Z + found_whl=1 2025-10-10T01:58:38.0767153Z + break 2025-10-10T01:58:38.0767371Z + '[' 1 == 0 ']' 2025-10-10T01:58:38.0767622Z + for file in "${wheel_dir}"/*.whl 2025-10-10T01:58:38.0768091Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-10-10T01:58:38.0768728Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl') 2025-10-10T01:58:38.0769161Z + local args 2025-10-10T01:58:38.0769548Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-10-10T01:58:38.0770009Z + for path in "${args[@]}" 2025-10-10T01:58:38.0770448Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl' 2025-10-10T01:58:38.0771095Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-10-10T01:58:38.0771817Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-10-10T01:58:38.4581187Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl 2025-10-10T01:58:38.4677316Z Installing collected packages: torchvision 2025-10-10T01:58:38.9523388Z Successfully installed torchvision-0.22.0a0+966da7e 2025-10-10T01:58:38.9935701Z + '[' -n '' ']' 2025-10-10T01:58:38.9936255Z + id=1 2025-10-10T01:58:38.9936507Z + pip_install opencv-python==4.8.0.74 2025-10-10T01:58:38.9936922Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-10-10T01:58:38.9937399Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74 2025-10-10T01:58:39.4860110Z Collecting opencv-python==4.8.0.74 2025-10-10T01:58:39.5085565Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB) 2025-10-10T01:58:39.5173128Z 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) 2025-10-10T01:58:39.5270366Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB) 2025-10-10T01:58:41.2342834Z Installing collected packages: opencv-python 2025-10-10T01:58:41.2343704Z Attempting uninstall: opencv-python 2025-10-10T01:58:41.2356106Z Found existing installation: opencv-python 4.11.0.86 2025-10-10T01:58:41.2474663Z Uninstalling opencv-python-4.11.0.86: 2025-10-10T01:58:41.4223211Z Successfully uninstalled opencv-python-4.11.0.86 2025-10-10T01:58:42.4030480Z Successfully installed opencv-python-4.8.0.74 2025-10-10T01:58:42.5261968Z + [[ inductor_torchbench == *inductor_torchbench_smoketest_perf* ]] 2025-10-10T01:58:42.5262565Z + [[ inductor_torchbench == *inductor_torchbench_cpu_smoketest_perf* ]] 2025-10-10T01:58:42.5263034Z + [[ inductor_torchbench == *torchbench_gcp_smoketest* ]] 2025-10-10T01:58:42.5263391Z + [[ inductor_torchbench != *cpu* ]] 2025-10-10T01:58:42.5263697Z + install_torchrec_and_fbgemm 2025-10-10T01:58:42.5263974Z + local torchrec_commit 2025-10-10T01:58:42.5267128Z ++ get_pinned_commit torchrec 2025-10-10T01:58:42.5267514Z ++ cat .github/ci_commit_pins/torchrec.txt 2025-10-10T01:58:42.5284198Z + torchrec_commit=6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-10-10T01:58:42.5284606Z + local fbgemm_commit 2025-10-10T01:58:42.5288808Z ++ get_pinned_commit fbgemm 2025-10-10T01:58:42.5289254Z ++ cat .github/ci_commit_pins/fbgemm.txt 2025-10-10T01:58:42.5311033Z + fbgemm_commit=de731af65b4f04696e85c729e3282450b51b95fd 2025-10-10T01:58:42.5311558Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *rocm* ]] 2025-10-10T01:58:42.5311929Z + pip_uninstall torchrec-nightly 2025-10-10T01:58:42.5312234Z + pip3 uninstall -y torchrec-nightly 2025-10-10T01:58:42.9227878Z WARNING: Skipping torchrec-nightly as it is not installed. 2025-10-10T01:58:42.9559259Z + pip_uninstall fbgemm-gpu-nightly 2025-10-10T01:58:42.9559634Z + pip3 uninstall -y fbgemm-gpu-nightly 2025-10-10T01:58:43.3431592Z WARNING: Skipping fbgemm-gpu-nightly as it is not installed. 2025-10-10T01:58:43.3774147Z + pip_install setuptools-git-versioning scikit-build pyre-extensions 2025-10-10T01:58:43.3774675Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-10-10T01:58:43.3775251Z + python3 -m pip install --progress-bar off setuptools-git-versioning scikit-build pyre-extensions 2025-10-10T01:58:43.7567160Z Requirement already satisfied: setuptools-git-versioning in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.1.0) 2025-10-10T01:58:43.7568457Z Requirement already satisfied: scikit-build in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.18.1) 2025-10-10T01:58:43.7572111Z Requirement already satisfied: pyre-extensions in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.0.32) 2025-10-10T01:58:43.7583971Z Requirement already satisfied: packaging in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (23.1) 2025-10-10T01:58:43.7588073Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (78.1.1) 2025-10-10T01:58:43.7595916Z Requirement already satisfied: tomli>=2.0.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (2.2.1) 2025-10-10T01:58:43.7643003Z Requirement already satisfied: distro in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from scikit-build) (1.9.0) 2025-10-10T01:58:43.7651584Z Requirement already satisfied: wheel>=0.32.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from scikit-build) (0.45.1) 2025-10-10T01:58:43.7659619Z Requirement already satisfied: typing-inspect in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pyre-extensions) (0.9.0) 2025-10-10T01:58:43.7663435Z Requirement already satisfied: typing-extensions in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pyre-extensions) (4.15.0) 2025-10-10T01:58:43.7822198Z Requirement already satisfied: mypy-extensions>=0.3.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from typing-inspect->pyre-extensions) (1.1.0) 2025-10-10T01:58:44.8486905Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *rocm* ]] 2025-10-10T01:58:44.8487638Z + pip_build_and_install git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 dist/torchrec 2025-10-10T01:58:44.8488502Z + local build_target=git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 2025-10-10T01:58:44.8489076Z + local wheel_dir=dist/torchrec 2025-10-10T01:58:44.8489729Z + local found_whl=0 2025-10-10T01:58:44.8489991Z + for file in "${wheel_dir}"/*.whl 2025-10-10T01:58:44.8490349Z + [[ -f dist/torchrec/torchrec-0.3.2-py3-none-any.whl ]] 2025-10-10T01:58:44.8490686Z + found_whl=1 2025-10-10T01:58:44.8490904Z + break 2025-10-10T01:58:44.8491104Z + '[' 1 == 0 ']' 2025-10-10T01:58:44.8491341Z + for file in "${wheel_dir}"/*.whl 2025-10-10T01:58:44.8491712Z + pip_install_whl dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-10-10T01:58:44.8492165Z + args=('dist/torchrec/torchrec-0.3.2-py3-none-any.whl') 2025-10-10T01:58:44.8492507Z + local args 2025-10-10T01:58:44.8492811Z + [[ dist/torchrec/torchrec-0.3.2-py3-none-any.whl == *\ * ]] 2025-10-10T01:58:44.8493180Z + for path in "${args[@]}" 2025-10-10T01:58:44.8493542Z + echo 'Installing dist/torchrec/torchrec-0.3.2-py3-none-any.whl' 2025-10-10T01:58:44.8494012Z Installing dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-10-10T01:58:44.8494552Z + python3 -mpip install --no-index --no-deps dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-10-10T01:58:45.2286511Z Processing ./dist/torchrec/torchrec-0.3.2-py3-none-any.whl 2025-10-10T01:58:45.2354103Z Installing collected packages: torchrec 2025-10-10T01:58:45.5325718Z Successfully installed torchrec-0.3.2 2025-10-10T01:58:45.5718582Z + pip_build_and_install git+https://github.com/pytorch/FBGEMM.git@de731af65b4f04696e85c729e3282450b51b95fd#subdirectory=fbgemm_gpu dist/fbgemm_gpu 2025-10-10T01:58:45.5719803Z + local build_target=git+https://github.com/pytorch/FBGEMM.git@de731af65b4f04696e85c729e3282450b51b95fd#subdirectory=fbgemm_gpu 2025-10-10T01:58:45.5720498Z + local wheel_dir=dist/fbgemm_gpu 2025-10-10T01:58:45.5720868Z + local found_whl=0 2025-10-10T01:58:45.5721146Z + for file in "${wheel_dir}"/*.whl 2025-10-10T01:58:45.5721572Z + [[ -f dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl ]] 2025-10-10T01:58:45.5722025Z + found_whl=1 2025-10-10T01:58:45.5722228Z + break 2025-10-10T01:58:45.5722424Z + '[' 1 == 0 ']' 2025-10-10T01:58:45.5722667Z + for file in "${wheel_dir}"/*.whl 2025-10-10T01:58:45.5723104Z + pip_install_whl dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-10-10T01:58:45.5723698Z + args=('dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl') 2025-10-10T01:58:45.5724109Z + local args 2025-10-10T01:58:45.5724474Z + [[ dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-10-10T01:58:45.5724916Z + for path in "${args[@]}" 2025-10-10T01:58:45.5725339Z + echo 'Installing dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl' 2025-10-10T01:58:45.5725943Z Installing dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-10-10T01:58:45.5726628Z + python3 -mpip install --no-index --no-deps dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-10-10T01:58:45.9513503Z Processing ./dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl 2025-10-10T01:58:46.0438882Z Installing collected packages: fbgemm-gpu 2025-10-10T01:58:47.9249169Z Successfully installed fbgemm-gpu-0.4.1.post421 2025-10-10T01:58:47.9637529Z + PYTHONPATH=/torchbench 2025-10-10T01:58:47.9637859Z + test_dynamo_benchmark torchbench 1 2025-10-10T01:58:47.9642511Z ++ pwd 2025-10-10T01:58:47.9646279Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-10-10T01:58:47.9646695Z + local suite=torchbench 2025-10-10T01:58:47.9646945Z + shift 2025-10-10T01:58:47.9647161Z + local shard_id=1 2025-10-10T01:58:47.9647426Z + shift 2025-10-10T01:58:47.9647729Z + [[ inductor_torchbench == *perf_compare* ]] 2025-10-10T01:58:47.9648056Z + [[ inductor_torchbench == *perf* ]] 2025-10-10T01:58:47.9648360Z + [[ inductor_torchbench == *cpu* ]] 2025-10-10T01:58:47.9648675Z + [[ inductor_torchbench == *aot_inductor* ]] 2025-10-10T01:58:47.9649035Z + [[ inductor_torchbench == *max_autotune_inductor* ]] 2025-10-10T01:58:47.9649533Z + test_single_dynamo_benchmark inference torchbench 1 --inference --bfloat16 2025-10-10T01:58:47.9652397Z ++ pwd 2025-10-10T01:58:47.9656411Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-10-10T01:58:47.9656885Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-10-10T01:58:47.9699657Z + local name=inference 2025-10-10T01:58:47.9699939Z + shift 2025-10-10T01:58:47.9700162Z + local suite=torchbench 2025-10-10T01:58:47.9700429Z + shift 2025-10-10T01:58:47.9700632Z + local shard_id=1 2025-10-10T01:58:47.9700860Z + shift 2025-10-10T01:58:47.9701109Z + partition_flags=() 2025-10-10T01:58:47.9701395Z + local partition_flags 2025-10-10T01:58:47.9701629Z + [[ -n 2 ]] 2025-10-10T01:58:47.9701842Z + [[ -n 1 ]] 2025-10-10T01:58:47.9702615Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-10-10T01:58:47.9703117Z + [[ inductor_torchbench == *perf_compare* ]] 2025-10-10T01:58:47.9703442Z + [[ inductor_torchbench == *perf* ]] 2025-10-10T01:58:47.9703760Z + [[ inductor_torchbench == *_avx2* ]] 2025-10-10T01:58:47.9704076Z + [[ inductor_torchbench == *_avx512* ]] 2025-10-10T01:58:47.9705208Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --inductor --device cuda --inference --bfloat16 --total-partitions 2 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv 2025-10-10T01:58:48.6074252Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T01:58:48.6075567Z import pynvml # type: ignore[import] 2025-10-10T01:58:52.2048654Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T01:58:52.2049953Z import pynvml # type: ignore[import] 2025-10-10T01:58:54.8618328Z 2025-10-10T01:58:55.4896678Z loading model: 0it [00:00, ?it/s] 2025-10-10T01:58:55.4897036Z loading model: 0it [00:00, ?it/s] 2025-10-10T01:58:55.4897372Z cuda eval llama_v2_7b_16h 2025-10-10T01:58:55.4904678Z Traceback (most recent call last): 2025-10-10T01:58:55.4905189Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4191, in run 2025-10-10T01:58:55.4905686Z ) = runner.load_model( 2025-10-10T01:58:55.4906149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 308, in load_model 2025-10-10T01:58:55.4906656Z benchmark = benchmark_cls( 2025-10-10T01:58:55.4907039Z File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__ 2025-10-10T01:58:55.4907471Z obj = type.__call__(cls, *args, **kwargs) 2025-10-10T01:58:55.4908277Z File "/torchbench/torchbenchmark/models/llama_v2_7b_16h/__init__.py", line 16, in __init__ 2025-10-10T01:58:55.4908758Z super().__init__( 2025-10-10T01:58:55.4909245Z File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__ 2025-10-10T01:58:55.4909767Z super().__init__( 2025-10-10T01:58:55.4910127Z File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__ 2025-10-10T01:58:55.4910546Z self._skip_by_device_name() 2025-10-10T01:58:55.4910980Z File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name 2025-10-10T01:58:55.4911443Z raise NotImplementedError( 2025-10-10T01:58:55.4911951Z NotImplementedError: The current device NVIDIA A10G is skipped by its `llama_v2_7b_16h/metadata.yaml`. 2025-10-10T01:58:55.4912374Z 2025-10-10T01:58:55.4912466Z model_fail_to_load 2025-10-10T01:58:57.0281476Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T01:58:57.0282692Z import pynvml # type: ignore[import] 2025-10-10T01:58:59.6706917Z 2025-10-10T01:59:00.2448018Z loading model: 0it [00:00, ?it/s] 2025-10-10T01:59:00.2448348Z loading model: 0it [00:00, ?it/s] 2025-10-10T01:59:00.2448652Z cuda eval llava 2025-10-10T01:59:00.2455461Z Traceback (most recent call last): 2025-10-10T01:59:00.2456030Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4191, in run 2025-10-10T01:59:00.2456495Z ) = runner.load_model( 2025-10-10T01:59:00.2456962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 308, in load_model 2025-10-10T01:59:00.2457468Z benchmark = benchmark_cls( 2025-10-10T01:59:00.2457859Z File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__ 2025-10-10T01:59:00.2458301Z obj = type.__call__(cls, *args, **kwargs) 2025-10-10T01:59:00.2458776Z File "/torchbench/torchbenchmark/models/llava/__init__.py", line 12, in __init__ 2025-10-10T01:59:00.2459248Z super().__init__( 2025-10-10T01:59:00.2459762Z File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__ 2025-10-10T01:59:00.2460297Z super().__init__( 2025-10-10T01:59:00.2460654Z File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__ 2025-10-10T01:59:00.2461072Z self._skip_by_device_name() 2025-10-10T01:59:00.2461511Z File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name 2025-10-10T01:59:00.2461982Z raise NotImplementedError( 2025-10-10T01:59:00.2462451Z NotImplementedError: The current device NVIDIA A10G is skipped by its `llava/metadata.yaml`. 2025-10-10T01:59:00.2462847Z 2025-10-10T01:59:00.2462943Z model_fail_to_load 2025-10-10T01:59:01.6999074Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T01:59:01.7000404Z import pynvml # type: ignore[import] 2025-10-10T01:59:04.3285169Z 2025-10-10T01:59:05.6254132Z loading model: 0it [00:00, ?it/s] 2025-10-10T01:59:05.6254872Z loading model: 0it [00:01, ?it/s] 2025-10-10T01:59:05.6261178Z cuda eval maml 2025-10-10T01:59:05.6506813Z Compilation time (from dynamo_timed): 0 2025-10-10T01:59:05.6507134Z pass_due_to_skip 2025-10-10T01:59:05.6514483Z TIMING: total_wall_time:0 2025-10-10T01:59:05.6514861Z STATS: call_* op count: 0 2025-10-10T01:59:05.6515223Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique) 2025-10-10T01:59:07.3768435Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T01:59:07.3770063Z import pynvml # type: ignore[import] 2025-10-10T01:59:10.0280160Z 2025-10-10T01:59:10.7248370Z loading model: 0it [00:00, ?it/s] 2025-10-10T01:59:10.7248837Z loading model: 0it [00:00, ?it/s] 2025-10-10T01:59:10.7255764Z cuda eval maml_omniglot 2025-10-10T01:59:17.6811543Z Compilation time (from dynamo_timed): 5.550603435 2025-10-10T01:59:17.6811902Z pass 2025-10-10T01:59:17.6813437Z TIMING: _recursive_pre_grad_passes:0.00423 pad_mm_benchmark:0.07232 _recursive_joint_graph_passes:0.41327 _recursive_post_grad_passes:0.02648 async_compile.precompile:0.82417 async_compile.wait:0.50421 code_gen:2.25301 inductor_compile:2.50999 backend_compile:5.14263 gc:0.00081 entire_frame_compile:5.5506 cudagraphify.get_container:0.00259 CachingAutotuner.benchmark_all_configs:0.12578 CUDAGraphNode.record:0.00184 total_wall_time:5.5506 2025-10-10T01:59:17.6815935Z STATS: call_* op count: 14 | FakeTensorMode.__torch_dispatch__:1081 | FakeTensor.__torch_dispatch__:444 | ProxyTorchDispatchMode.__torch_dispatch__:179 2025-10-10T01:59:17.6816707Z Dynamo produced 1 graphs covering 14 ops with 0 graph breaks (0 unique) 2025-10-10T01:59:20.2729686Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T01:59:20.2730894Z import pynvml # type: ignore[import] 2025-10-10T01:59:22.9180517Z 2025-10-10T01:59:23.2480329Z loading model: 0it [00:00, ?it/s] 2025-10-10T01:59:23.2480821Z loading model: 0it [00:00, ?it/s] 2025-10-10T01:59:23.2482588Z cuda eval microbench_unbacked_tolist_sum 2025-10-10T01:59:24.9970064Z W1010 01:59:24.996000 687 site-packages/torch/_dynamo/variables/tensor.py:1045] [2/0] Graph break from `Tensor.item()`, consider setting: 2025-10-10T01:59:24.9971073Z W1010 01:59:24.996000 687 site-packages/torch/_dynamo/variables/tensor.py:1045] [2/0] torch._dynamo.config.capture_scalar_outputs = True 2025-10-10T01:59:24.9971823Z W1010 01:59:24.996000 687 site-packages/torch/_dynamo/variables/tensor.py:1045] [2/0] or: 2025-10-10T01:59:24.9972548Z W1010 01:59:24.996000 687 site-packages/torch/_dynamo/variables/tensor.py:1045] [2/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-10-10T01:59:24.9973418Z W1010 01:59:24.996000 687 site-packages/torch/_dynamo/variables/tensor.py:1045] [2/0] to include these operations in the captured graph. 2025-10-10T01:59:24.9974143Z W1010 01:59:24.996000 687 site-packages/torch/_dynamo/variables/tensor.py:1045] [2/0] 2025-10-10T01:59:24.9974814Z W1010 01:59:24.996000 687 site-packages/torch/_dynamo/variables/tensor.py:1045] [2/0] Graph break: from user code at: 2025-10-10T01:59:24.9975958Z W1010 01:59:24.996000 687 site-packages/torch/_dynamo/variables/tensor.py:1045] [2/0] File "/torchbench/torchbenchmark/models/microbench_unbacked_tolist_sum/__init__.py", line 18, in torch_dynamo_resume_in_forward_at_13 2025-10-10T01:59:24.9977074Z W1010 01:59:24.996000 687 site-packages/torch/_dynamo/variables/tensor.py:1045] [2/0] sum += tv[i].item() 2025-10-10T01:59:24.9977715Z W1010 01:59:24.996000 687 site-packages/torch/_dynamo/variables/tensor.py:1045] [2/0] 2025-10-10T01:59:24.9978273Z W1010 01:59:24.996000 687 site-packages/torch/_dynamo/variables/tensor.py:1045] [2/0] 2025-10-10T01:59:25.0923269Z Compilation time (from dynamo_timed): 0.606789733 2025-10-10T01:59:25.0923624Z pass 2025-10-10T01:59:25.0923941Z TIMING: gc:0.00136 entire_frame_compile:0.60679 total_wall_time:0.60679 2025-10-10T01:59:25.0924519Z STATS: call_* op count: 0 | FakeTensor.__torch_dispatch__:2005 | FakeTensorMode.__torch_dispatch__:17 2025-10-10T01:59:25.0925111Z Dynamo produced 0 graphs covering 0 ops with 2 graph breaks (1 unique) 2025-10-10T01:59:26.8372366Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T01:59:26.8373848Z import pynvml # type: ignore[import] 2025-10-10T01:59:29.4706160Z 2025-10-10T01:59:29.7377899Z 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 2025-10-10T01:59:29.8782141Z 2025-10-10T01:59:29.8782373Z 2025-10-10T01:59:29.9786819Z 0% 0.00/16.9M [00:00 will be ignored 2025-10-10T02:01:04.8900070Z [rank0]:W1010 02:01:04.888000 2854 site-packages/torch/_dynamo/backends/distributed.py:109] [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. 2025-10-10T02:01:04.9159548Z [rank0]:W1010 02:01:04.915000 2854 site-packages/torch/_dynamo/backends/distributed.py:126] [4/0_1] DDPOptimizer extended these buckets to ensure per-subgraph output nodes: 2025-10-10T02:01:04.9160991Z [rank0]:W1010 02:01:04.915000 2854 site-packages/torch/_dynamo/backends/distributed.py:126] [4/0_1] ┌─────────┬─────────────┬────────────────────────┐ 2025-10-10T02:01:04.9172845Z [rank0]:W1010 02:01:04.915000 2854 site-packages/torch/_dynamo/backends/distributed.py:126] [4/0_1] │ Index │ Extra Ops │ Extra Param Size (b) │ 2025-10-10T02:01:04.9174054Z [rank0]:W1010 02:01:04.915000 2854 site-packages/torch/_dynamo/backends/distributed.py:126] [4/0_1] ├─────────┼─────────────┼────────────────────────┤ 2025-10-10T02:01:04.9175087Z [rank0]:W1010 02:01:04.915000 2854 site-packages/torch/_dynamo/backends/distributed.py:126] [4/0_1] │ 0 │ 470 │ 44910720 │ 2025-10-10T02:01:04.9176129Z [rank0]:W1010 02:01:04.915000 2854 site-packages/torch/_dynamo/backends/distributed.py:126] [4/0_1] └─────────┴─────────────┴────────────────────────┘ 2025-10-10T02:01:30.4594977Z [rank0]:W1010 02:01:30.458000 2854 site-packages/torch/_dynamo/variables/tensor.py:1045] [7/0] Graph break from `Tensor.item()`, consider setting: 2025-10-10T02:01:30.4596016Z [rank0]:W1010 02:01:30.458000 2854 site-packages/torch/_dynamo/variables/tensor.py:1045] [7/0] torch._dynamo.config.capture_scalar_outputs = True 2025-10-10T02:01:30.4597033Z [rank0]:W1010 02:01:30.458000 2854 site-packages/torch/_dynamo/variables/tensor.py:1045] [7/0] or: 2025-10-10T02:01:30.4598457Z [rank0]:W1010 02:01:30.458000 2854 site-packages/torch/_dynamo/variables/tensor.py:1045] [7/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-10-10T02:01:30.4599393Z [rank0]:W1010 02:01:30.458000 2854 site-packages/torch/_dynamo/variables/tensor.py:1045] [7/0] to include these operations in the captured graph. 2025-10-10T02:01:30.4600182Z [rank0]:W1010 02:01:30.458000 2854 site-packages/torch/_dynamo/variables/tensor.py:1045] [7/0] 2025-10-10T02:01:30.4600912Z [rank0]:W1010 02:01:30.458000 2854 site-packages/torch/_dynamo/variables/tensor.py:1045] [7/0] Graph break: from user code at: 2025-10-10T02:01:30.4602046Z [rank0]:W1010 02:01:30.458000 2854 site-packages/torch/_dynamo/variables/tensor.py:1045] [7/0] File "/torchbench/torchbenchmark/models/moco/moco/builder.py", line 167, in torch_dynamo_resume_in_forward_at_142 2025-10-10T02:01:30.4603512Z [rank0]:W1010 02:01:30.458000 2854 site-packages/torch/_dynamo/variables/tensor.py:1045] [7/0] self._dequeue_and_enqueue(k) 2025-10-10T02:01:30.4604661Z [rank0]:W1010 02:01:30.458000 2854 site-packages/torch/_dynamo/variables/tensor.py:1045] [7/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 122, in decorate_context 2025-10-10T02:01:30.4605784Z [rank0]:W1010 02:01:30.458000 2854 site-packages/torch/_dynamo/variables/tensor.py:1045] [7/0] return func(*args, **kwargs) 2025-10-10T02:01:30.4606855Z [rank0]:W1010 02:01:30.458000 2854 site-packages/torch/_dynamo/variables/tensor.py:1045] [7/0] File "/torchbench/torchbenchmark/models/moco/moco/builder.py", line 68, in _dequeue_and_enqueue 2025-10-10T02:01:30.4607916Z [rank0]:W1010 02:01:30.458000 2854 site-packages/torch/_dynamo/variables/tensor.py:1045] [7/0] ptr = int(self.queue_ptr) 2025-10-10T02:01:30.4608635Z [rank0]:W1010 02:01:30.458000 2854 site-packages/torch/_dynamo/variables/tensor.py:1045] [7/0] 2025-10-10T02:01:30.4609259Z [rank0]:W1010 02:01:30.458000 2854 site-packages/torch/_dynamo/variables/tensor.py:1045] [7/0] 2025-10-10T02:01:48.5333153Z Compilation time (from dynamo_timed): 52.901229373 2025-10-10T02:01:48.5333654Z pass 2025-10-10T02:01:48.5350601Z TIMING: gc:0.00693 entire_frame_compile:52.90123 _recursive_pre_grad_passes:0.10818 _recursive_joint_graph_passes:0.71373 _recursive_post_grad_passes:0.50608 async_compile.wait:2.60855 code_gen:9.43672 inductor_compile:17.51273 pad_mm_benchmark:0.06673 backend_compile:27.91809 cudagraphify.get_container:0.0017 CachingAutotuner.benchmark_all_configs:1.63915 CUDAGraphNode.record:0.01858 total_wall_time:52.90123 2025-10-10T02:01:48.5352533Z STATS: call_* op count: 877 | FakeTensorMode.__torch_dispatch__:20601 | FakeTensor.__torch_dispatch__:19430 | ProxyTorchDispatchMode.__torch_dispatch__:6199 2025-10-10T02:01:48.5353334Z Dynamo produced 7 graphs covering 877 ops with 7 graph breaks (4 unique) 2025-10-10T02:01:50.2127035Z [rank0]:[W1010 02:01:50.201883275 ProcessGroupNCCL.cpp:1552] 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()) 2025-10-10T02:01:53.0269520Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:01:53.0270719Z import pynvml # type: ignore[import] 2025-10-10T02:01:55.6558257Z 2025-10-10T02:01:56.2213559Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:01:56.2213922Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:01:56.2214236Z cuda eval moondream 2025-10-10T02:01:56.2221646Z Traceback (most recent call last): 2025-10-10T02:01:56.2222238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4191, in run 2025-10-10T02:01:56.2222815Z ) = runner.load_model( 2025-10-10T02:01:56.2223696Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 308, in load_model 2025-10-10T02:01:56.2224220Z benchmark = benchmark_cls( 2025-10-10T02:01:56.2224629Z File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__ 2025-10-10T02:01:56.2225071Z obj = type.__call__(cls, *args, **kwargs) 2025-10-10T02:01:56.2225549Z File "/torchbench/torchbenchmark/models/moondream/__init__.py", line 12, in __init__ 2025-10-10T02:01:56.2226017Z super().__init__( 2025-10-10T02:01:56.2226511Z File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__ 2025-10-10T02:01:56.2227047Z super().__init__( 2025-10-10T02:01:56.2227407Z File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__ 2025-10-10T02:01:56.2227834Z self._skip_by_device_name() 2025-10-10T02:01:56.2228277Z File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name 2025-10-10T02:01:56.2228758Z raise NotImplementedError( 2025-10-10T02:01:56.2229262Z NotImplementedError: The current device NVIDIA A10G is skipped by its `moondream/metadata.yaml`. 2025-10-10T02:01:56.2229669Z 2025-10-10T02:01:56.2229764Z model_fail_to_load 2025-10-10T02:01:57.6958586Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:01:57.6959887Z import pynvml # type: ignore[import] 2025-10-10T02:02:00.3464893Z 2025-10-10T02:02:02.2574358Z loading model: 0it [00:00, ?it/s]number of parameters: 123.69M 2025-10-10T02:02:02.5028264Z num decayed parameter tensors: 50, with 124,354,560 parameters 2025-10-10T02:02:02.5028754Z num non-decayed parameter tensors: 98, with 121,344 parameters 2025-10-10T02:02:02.5029909Z using fused AdamW: True 2025-10-10T02:02:02.8502926Z 2025-10-10T02:02:02.8503173Z loading model: 0it [00:02, ?it/s] 2025-10-10T02:02:02.8546370Z cuda eval nanogpt 2025-10-10T02:02:14.3681540Z Compilation time (from dynamo_timed): 9.872745875 2025-10-10T02:02:14.3681982Z pass 2025-10-10T02:02:14.3687621Z TIMING: _recursive_pre_grad_passes:0.00903 pad_mm_benchmark:0.11809 _recursive_joint_graph_passes:0.55317 _recursive_post_grad_passes:0.61297 async_compile.wait:0.21491 code_gen:1.59175 inductor_compile:3.90266 backend_compile:7.67355 gc:0.00112 entire_frame_compile:9.87275 cudagraphify.get_container:0.00334 CachingAutotuner.benchmark_all_configs:0.0493 CUDAGraphNode.record:0.00926 total_wall_time:9.87275 2025-10-10T02:02:14.3689523Z STATS: call_* op count: 393 | FakeTensorMode.__torch_dispatch__:8053 | FakeTensor.__torch_dispatch__:4749 | ProxyTorchDispatchMode.__torch_dispatch__:2219 2025-10-10T02:02:14.3690302Z Dynamo produced 1 graphs covering 393 ops with 0 graph breaks (0 unique) 2025-10-10T02:02:17.1923463Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:02:17.1925448Z import pynvml # type: ignore[import] 2025-10-10T02:02:19.8303960Z 2025-10-10T02:02:22.3446547Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:02:22.3446912Z loading model: 0it [00:02, ?it/s] 2025-10-10T02:02:22.3449961Z cuda eval nvidia_deeprecommender 2025-10-10T02:02:27.4539286Z Compilation time (from dynamo_timed): 3.70330442 2025-10-10T02:02:27.4539669Z pass 2025-10-10T02:02:27.4558149Z TIMING: _recursive_pre_grad_passes:0.00361 pad_mm_benchmark:0.46386 _recursive_joint_graph_passes:0.64687 _recursive_post_grad_passes:0.0874 async_compile.precompile:0.61008 async_compile.wait:0.00022 code_gen:0.76171 inductor_compile:1.18351 backend_compile:3.40897 gc:0.00048 entire_frame_compile:3.7033 cudagraphify.get_container:0.00549 CachingAutotuner.benchmark_all_configs:0.07474 CUDAGraphNode.record:0.00179 total_wall_time:3.7033 2025-10-10T02:02:27.4560216Z STATS: call_* op count: 13 | FakeTensorMode.__torch_dispatch__:1017 | ProxyTorchDispatchMode.__torch_dispatch__:248 | FakeTensor.__torch_dispatch__:411 2025-10-10T02:02:27.4561016Z Dynamo produced 1 graphs covering 13 ops with 0 graph breaks (0 unique) 2025-10-10T02:02:30.1817962Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:02:30.1819162Z import pynvml # type: ignore[import] 2025-10-10T02:02:32.7963132Z 2025-10-10T02:02:33.8631934Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:02:33.8632274Z loading model: 0it [00:01, ?it/s] 2025-10-10T02:02:33.8651554Z cuda eval opacus_cifar10 2025-10-10T02:02:44.3983545Z Compilation time (from dynamo_timed): 8.608388387 2025-10-10T02:02:44.3983918Z pass 2025-10-10T02:02:44.3985340Z TIMING: _recursive_pre_grad_passes:0.00507 pad_mm_benchmark:0.07075 _recursive_joint_graph_passes:0.30943 _recursive_post_grad_passes:0.06729 async_compile.wait:0.61705 code_gen:2.66458 inductor_compile:3.74023 backend_compile:6.71515 gc:0.0007 entire_frame_compile:8.60839 cudagraphify.get_container:0.0022 CachingAutotuner.benchmark_all_configs:0.51814 CUDAGraphNode.record:0.00403 total_wall_time:8.60839 2025-10-10T02:02:44.3987198Z STATS: call_* op count: 69 | FakeTensorMode.__torch_dispatch__:2732 | FakeTensor.__torch_dispatch__:2299 | ProxyTorchDispatchMode.__torch_dispatch__:867 2025-10-10T02:02:44.3987976Z Dynamo produced 1 graphs covering 69 ops with 0 graph breaks (0 unique) 2025-10-10T02:02:47.1770920Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:02:47.1772258Z import pynvml # type: ignore[import] 2025-10-10T02:02:49.8104447Z 2025-10-10T02:02:50.5694812Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:02:50.5695178Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:02:50.5764131Z cuda eval phlippe_densenet 2025-10-10T02:03:10.9223398Z Compilation time (from dynamo_timed): 17.565538644 2025-10-10T02:03:10.9223771Z pass 2025-10-10T02:03:10.9225196Z TIMING: _recursive_pre_grad_passes:0.00895 pad_mm_benchmark:0.06499 _recursive_joint_graph_passes:0.49746 _recursive_post_grad_passes:0.18304 async_compile.wait:1.06984 code_gen:6.03123 inductor_compile:8.68935 backend_compile:13.35959 gc:0.00112 entire_frame_compile:17.56554 cudagraphify.get_container:0.00259 CachingAutotuner.benchmark_all_configs:1.30111 CUDAGraphNode.record:0.00673 total_wall_time:17.56554 2025-10-10T02:03:10.9227557Z STATS: call_* op count: 186 | FakeTensorMode.__torch_dispatch__:7866 | FakeTensor.__torch_dispatch__:6779 | ProxyTorchDispatchMode.__torch_dispatch__:2328 2025-10-10T02:03:10.9228398Z Dynamo produced 1 graphs covering 186 ops with 0 graph breaks (0 unique) 2025-10-10T02:03:13.9435767Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:03:13.9436989Z import pynvml # type: ignore[import] 2025-10-10T02:03:16.5727994Z 2025-10-10T02:03:17.1894005Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:03:17.1894869Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:03:17.1920487Z cuda eval phlippe_resnet 2025-10-10T02:03:25.3722909Z Compilation time (from dynamo_timed): 6.586660972 2025-10-10T02:03:25.3723314Z pass 2025-10-10T02:03:25.3725003Z TIMING: _recursive_pre_grad_passes:0.00568 pad_mm_benchmark:0.07007 _recursive_joint_graph_passes:0.26964 _recursive_post_grad_passes:0.07799 async_compile.wait:0.68993 code_gen:1.54029 inductor_compile:2.47582 backend_compile:5.16307 gc:0.00015 entire_frame_compile:6.58666 cudagraphify.get_container:0.00289 CachingAutotuner.benchmark_all_configs:0.29269 CUDAGraphNode.record:0.00318 total_wall_time:6.58666 2025-10-10T02:03:25.3727320Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:2920 | FakeTensor.__torch_dispatch__:2516 | ProxyTorchDispatchMode.__torch_dispatch__:880 2025-10-10T02:03:25.3728240Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique) 2025-10-10T02:03:28.0338178Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:03:28.0339474Z import pynvml # type: ignore[import] 2025-10-10T02:03:30.6836620Z 2025-10-10T02:03:31.0822315Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:03:31.0822955Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:03:31.0823659Z cuda eval pyhpc_equation_of_state 2025-10-10T02:03:38.7008064Z Compilation time (from dynamo_timed): 6.464613015 2025-10-10T02:03:38.7008444Z pass 2025-10-10T02:03:38.7009628Z TIMING: _recursive_pre_grad_passes:0.00758 _recursive_joint_graph_passes:0.34826 _recursive_post_grad_passes:0.08407 async_compile.wait:0.29408 code_gen:2.82276 inductor_compile:3.63686 backend_compile:6.03036 gc:0.00076 entire_frame_compile:6.46461 cudagraphify.get_container:0.00257 CUDAGraphNode.record:0.00089 total_wall_time:6.46461 2025-10-10T02:03:38.7011271Z STATS: call_* op count: 366 | FakeTensorMode.__torch_dispatch__:2667 | ProxyTorchDispatchMode.__torch_dispatch__:764 | FakeTensor.__torch_dispatch__:3037 2025-10-10T02:03:38.7012097Z Dynamo produced 1 graphs covering 366 ops with 0 graph breaks (0 unique) 2025-10-10T02:03:41.2730060Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:03:41.2731298Z import pynvml # type: ignore[import] 2025-10-10T02:03:43.9108856Z 2025-10-10T02:03:44.2690655Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:03:44.2691011Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:03:44.2694996Z cuda eval pyhpc_isoneutral_mixing 2025-10-10T02:03:56.5292188Z skipping cudagraphs due to mutated inputs (7 instances). Found from : 2025-10-10T02:03:56.5292871Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass 2025-10-10T02:03:56.5293390Z return mod(*inputs) 2025-10-10T02:03:56.5294344Z File "/torchbench/torchbenchmark/models/pyhpc_isoneutral_mixing/__init__.py", line 100, in forward 2025-10-10T02:03:56.5294939Z return isoneutral_pytorch.isoneutral_diffusion_pre( 2025-10-10T02:03:56.5295627Z File "/torchbench/torchbenchmark/models/pyhpc_isoneutral_mixing/isoneutral_pytorch.py", line 164, in isoneutral_diffusion_pre 2025-10-10T02:03:56.5296331Z Ai_ez[1:-2, 2:-2, ki:, ip, kr] = taper * sxe * maskU[1:-2, 2:-2, ki:] 2025-10-10T02:03:56.5296591Z 2025-10-10T02:03:56.5578541Z Compilation time (from dynamo_timed): 11.163248754 2025-10-10T02:03:56.5578885Z pass 2025-10-10T02:03:56.5580129Z TIMING: _recursive_pre_grad_passes:0.01162 _recursive_joint_graph_passes:0.27595 _recursive_post_grad_passes:1.47847 async_compile.wait:0.07141 code_gen:0.88425 inductor_compile:4.99051 backend_compile:9.85679 gc:0.00017 entire_frame_compile:11.16325 cudagraphify.get_container:0.00221 total_wall_time:11.16325 2025-10-10T02:03:56.5581666Z STATS: call_* op count: 744 | FakeTensorMode.__torch_dispatch__:14175 | FakeTensor.__torch_dispatch__:7478 | ProxyTorchDispatchMode.__torch_dispatch__:2626 2025-10-10T02:03:56.5582833Z Dynamo produced 1 graphs covering 744 ops with 0 graph breaks (0 unique) 2025-10-10T02:03:59.4188251Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:03:59.4189461Z import pynvml # type: ignore[import] 2025-10-10T02:04:02.0666696Z 2025-10-10T02:04:02.8543272Z loading model: 0it [00:00, ?it/s]WARNING:common:Model pyhpc_turbulent_kinetic_energy does not support bfloat16, running with amp instead 2025-10-10T02:04:02.9805473Z 2025-10-10T02:04:02.9806018Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:04:02.9806571Z WARNING:common:Model pyhpc_turbulent_kinetic_energy does not support bfloat16, running with amp instead 2025-10-10T02:04:02.9807173Z cuda eval pyhpc_turbulent_kinetic_energy 2025-10-10T02:04:03.0256279Z WARNING:common:Model pyhpc_turbulent_kinetic_energy does not support bfloat16, running with amp instead 2025-10-10T02:04:27.3959157Z Compilation time (from dynamo_timed): 20.339271579 2025-10-10T02:04:27.3961127Z pass 2025-10-10T02:04:27.4020310Z TIMING: _recursive_pre_grad_passes:0.01441 _recursive_joint_graph_passes:0.25489 _recursive_post_grad_passes:1.47762 async_compile.wait:0.48942 code_gen:9.09613 inductor_compile:13.7419 backend_compile:18.85112 gc:0.00024 entire_frame_compile:20.33927 cudagraphify.get_container:0.00361 CachingAutotuner.benchmark_all_configs:2.83163 CUDAGraphNode.record:0.0026 total_wall_time:20.33927 2025-10-10T02:04:27.4022122Z STATS: call_* op count: 996 | FakeTensorMode.__torch_dispatch__:15129 | FakeTensor.__torch_dispatch__:7290 | ProxyTorchDispatchMode.__torch_dispatch__:2660 2025-10-10T02:04:27.4022910Z Dynamo produced 1 graphs covering 996 ops with 0 graph breaks (0 unique) 2025-10-10T02:04:30.5902629Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:04:30.5904152Z import pynvml # type: ignore[import] 2025-10-10T02:04:33.2272386Z 2025-10-10T02:04:34.0351034Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:04:34.0351340Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:04:34.0365622Z cuda eval pytorch_CycleGAN_and_pix2pix 2025-10-10T02:04:46.3864729Z Compilation time (from dynamo_timed): 8.458955636 2025-10-10T02:04:46.3865096Z pass 2025-10-10T02:04:46.3873099Z TIMING: _recursive_pre_grad_passes:0.00527 _recursive_joint_graph_passes:0.38981 _recursive_post_grad_passes:0.09393 async_compile.wait:0.65445 code_gen:3.08446 inductor_compile:4.44666 backend_compile:7.18439 gc:0.00099 entire_frame_compile:8.45896 cudagraphify.get_container:0.00214 CachingAutotuner.benchmark_all_configs:0.48343 CUDAGraphNode.record:0.00326 total_wall_time:8.45896 2025-10-10T02:04:46.3875300Z STATS: call_* op count: 91 | FakeTensorMode.__torch_dispatch__:3363 | FakeTensor.__torch_dispatch__:2703 | ProxyTorchDispatchMode.__torch_dispatch__:1219 2025-10-10T02:04:46.3876071Z Dynamo produced 1 graphs covering 91 ops with 0 graph breaks (0 unique) 2025-10-10T02:04:49.1879164Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:04:49.1880384Z import pynvml # type: ignore[import] 2025-10-10T02:04:51.8640801Z 2025-10-10T02:04:53.0386765Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:04:53.0387093Z loading model: 0it [00:01, ?it/s] 2025-10-10T02:04:53.0413914Z cuda eval pytorch_stargan 2025-10-10T02:05:10.4956589Z Compilation time (from dynamo_timed): 7.815835589 2025-10-10T02:05:10.4956963Z pass 2025-10-10T02:05:10.4971331Z TIMING: _recursive_pre_grad_passes:0.00546 _recursive_joint_graph_passes:0.28412 _recursive_post_grad_passes:0.08042 async_compile.wait:0.21029 code_gen:2.17251 inductor_compile:3.36501 backend_compile:6.47107 gc:0.0012 entire_frame_compile:7.81584 cudagraphify.get_container:0.00427 CachingAutotuner.benchmark_all_configs:0.19606 CUDAGraphNode.record:0.00296 total_wall_time:7.81584 2025-10-10T02:05:10.4973161Z STATS: call_* op count: 56 | FakeTensorMode.__torch_dispatch__:4354 | FakeTensor.__torch_dispatch__:2853 | ProxyTorchDispatchMode.__torch_dispatch__:1281 2025-10-10T02:05:10.4973939Z Dynamo produced 1 graphs covering 56 ops with 0 graph breaks (0 unique) 2025-10-10T02:05:13.2489751Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:05:13.2490997Z import pynvml # type: ignore[import] 2025-10-10T02:05:15.8712024Z 2025-10-10T02:05:16.6874656Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:05:16.6875513Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:05:16.6903061Z cuda eval pytorch_unet 2025-10-10T02:05:36.7475043Z Compilation time (from dynamo_timed): 9.381557024 2025-10-10T02:05:36.7475415Z pass 2025-10-10T02:05:36.7508490Z TIMING: _recursive_pre_grad_passes:0.00586 _recursive_joint_graph_passes:0.2062 _recursive_post_grad_passes:0.09672 async_compile.wait:0.17996 code_gen:3.31831 inductor_compile:4.64041 backend_compile:7.69755 gc:0.00086 entire_frame_compile:9.38156 cudagraphify.get_container:0.00234 CachingAutotuner.benchmark_all_configs:1.72711 CUDAGraphNode.record:0.00336 total_wall_time:9.38156 2025-10-10T02:05:36.7511105Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:4364 | FakeTensor.__torch_dispatch__:3346 | ProxyTorchDispatchMode.__torch_dispatch__:1272 2025-10-10T02:05:36.7512540Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique) 2025-10-10T02:05:39.5615854Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:05:39.5617172Z import pynvml # type: ignore[import] 2025-10-10T02:05:42.2097057Z 2025-10-10T02:05:43.0499179Z 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 2025-10-10T02:05:43.0864780Z 2025-10-10T02:05:43.0864975Z 2025-10-10T02:05:43.1868260Z 0% 0.00/230M [00:00 2025-10-10T02:21:53.5219150Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-10-10T02:21:53.5219505Z 2025-10-10T02:21:53.5219687Z cudagraph partition due to DeviceCopy ops. Found from : 2025-10-10T02:21:53.5220332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-10-10T02:21:53.5220964Z anchors = self.anchor_generator(images, features) 2025-10-10T02:21:53.5221621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward 2025-10-10T02:21:53.5222282Z cell_anchors = self.set_cell_anchors(dtype, device) 2025-10-10T02:21:53.5222965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-10-10T02:21:53.5223769Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-10-10T02:21:53.5224552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-10-10T02:21:53.5225338Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-10-10T02:21:53.5225693Z 2025-10-10T02:21:53.5225870Z cudagraph partition due to DeviceCopy ops. Found from : 2025-10-10T02:21:53.5226508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-10-10T02:21:53.5227134Z anchors = self.anchor_generator(images, features) 2025-10-10T02:21:53.5227790Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward 2025-10-10T02:21:53.5228451Z cell_anchors = self.set_cell_anchors(dtype, device) 2025-10-10T02:21:53.5229141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-10-10T02:21:53.5230107Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-10-10T02:21:53.5230895Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-10-10T02:21:53.5231681Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-10-10T02:21:53.5232031Z 2025-10-10T02:21:53.5232208Z cudagraph partition due to DeviceCopy ops. Found from : 2025-10-10T02:21:53.5232855Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-10-10T02:21:53.5233476Z anchors = self.anchor_generator(images, features) 2025-10-10T02:21:53.5234137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward 2025-10-10T02:21:53.5234853Z cell_anchors = self.set_cell_anchors(dtype, device) 2025-10-10T02:21:53.5235558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-10-10T02:21:53.5236455Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-10-10T02:21:53.5237235Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-10-10T02:21:53.5238016Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-10-10T02:21:53.5238372Z 2025-10-10T02:21:53.5238546Z cudagraph partition due to DeviceCopy ops. Found from : 2025-10-10T02:21:53.5239191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-10-10T02:21:53.5239816Z anchors = self.anchor_generator(images, features) 2025-10-10T02:21:53.5240464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward 2025-10-10T02:21:53.5241129Z cell_anchors = self.set_cell_anchors(dtype, device) 2025-10-10T02:21:53.5241823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-10-10T02:21:53.5242626Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-10-10T02:21:53.5243408Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-10-10T02:21:53.5244180Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-10-10T02:21:53.5244536Z 2025-10-10T02:21:53.5423104Z cudagraph partition into 2 partitions 2025-10-10T02:21:57.7137028Z W1010 02:21:57.712000 25222 site-packages/torch/_dynamo/variables/tensor.py:1045] [12/0] Graph break from `Tensor.item()`, consider setting: 2025-10-10T02:21:57.7138034Z W1010 02:21:57.712000 25222 site-packages/torch/_dynamo/variables/tensor.py:1045] [12/0] torch._dynamo.config.capture_scalar_outputs = True 2025-10-10T02:21:57.7138854Z W1010 02:21:57.712000 25222 site-packages/torch/_dynamo/variables/tensor.py:1045] [12/0] or: 2025-10-10T02:21:57.7139603Z W1010 02:21:57.712000 25222 site-packages/torch/_dynamo/variables/tensor.py:1045] [12/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-10-10T02:21:57.7140499Z W1010 02:21:57.712000 25222 site-packages/torch/_dynamo/variables/tensor.py:1045] [12/0] to include these operations in the captured graph. 2025-10-10T02:21:57.7141254Z W1010 02:21:57.712000 25222 site-packages/torch/_dynamo/variables/tensor.py:1045] [12/0] 2025-10-10T02:21:57.7141953Z W1010 02:21:57.712000 25222 site-packages/torch/_dynamo/variables/tensor.py:1045] [12/0] Graph break: from user code at: 2025-10-10T02:21:57.7143251Z W1010 02:21:57.712000 25222 site-packages/torch/_dynamo/variables/tensor.py:1045] [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 2025-10-10T02:21:57.7145189Z W1010 02:21:57.712000 25222 site-packages/torch/_dynamo/variables/tensor.py:1045] [12/0] detections, detector_losses = self.roi_heads(features, proposals, images.image_sizes, targets) 2025-10-10T02:21:57.7146538Z W1010 02:21:57.712000 25222 site-packages/torch/_dynamo/variables/tensor.py:1045] [12/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 763, in forward 2025-10-10T02:21:57.7147791Z W1010 02:21:57.712000 25222 site-packages/torch/_dynamo/variables/tensor.py:1045] [12/0] box_features = self.box_roi_pool(features, proposals, image_shapes) 2025-10-10T02:21:57.7148974Z W1010 02:21:57.712000 25222 site-packages/torch/_dynamo/variables/tensor.py:1045] [12/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 310, in forward 2025-10-10T02:21:57.7150092Z W1010 02:21:57.712000 25222 site-packages/torch/_dynamo/variables/tensor.py:1045] [12/0] self.scales, self.map_levels = _setup_scales( 2025-10-10T02:21:57.7151417Z W1010 02:21:57.712000 25222 site-packages/torch/_dynamo/variables/tensor.py:1045] [12/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 122, in _setup_scales 2025-10-10T02:21:57.7152631Z W1010 02:21:57.712000 25222 site-packages/torch/_dynamo/variables/tensor.py:1045] [12/0] scales = [_infer_scale(feat, original_input_shape) for feat in features] 2025-10-10T02:21:57.7153832Z W1010 02:21:57.712000 25222 site-packages/torch/_dynamo/variables/tensor.py:1045] [12/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 122, in 2025-10-10T02:21:57.7155138Z W1010 02:21:57.712000 25222 site-packages/torch/_dynamo/variables/tensor.py:1045] [12/0] scales = [_infer_scale(feat, original_input_shape) for feat in features] 2025-10-10T02:21:57.7156341Z W1010 02:21:57.712000 25222 site-packages/torch/_dynamo/variables/tensor.py:1045] [12/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 104, in _infer_scale 2025-10-10T02:21:57.7157516Z W1010 02:21:57.712000 25222 site-packages/torch/_dynamo/variables/tensor.py:1045] [12/0] scale = 2 ** float(torch.tensor(approx_scale).log2().round()) 2025-10-10T02:21:57.7158302Z W1010 02:21:57.712000 25222 site-packages/torch/_dynamo/variables/tensor.py:1045] [12/0] 2025-10-10T02:21:57.7158894Z W1010 02:21:57.712000 25222 site-packages/torch/_dynamo/variables/tensor.py:1045] [12/0] 2025-10-10T02:21:58.2281828Z cudagraph partition due to non gpu ops. Found from : 2025-10-10T02:21:58.2282608Z 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 2025-10-10T02:21:58.2283407Z lvl_min = -torch.log2(torch.tensor(scales[0], dtype=torch.float32)).item() 2025-10-10T02:21:58.2283732Z 2025-10-10T02:21:59.0066284Z cudagraph partition due to non gpu ops. Found from : 2025-10-10T02:21:59.0067103Z 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 2025-10-10T02:21:59.0067911Z lvl_max = -torch.log2(torch.tensor(scales[-1], dtype=torch.float32)).item() 2025-10-10T02:21:59.0068231Z 2025-10-10T02:23:12.1837129Z Compilation time (from dynamo_timed): 100.250497838 2025-10-10T02:23:12.1837509Z pass 2025-10-10T02:23:12.1859119Z TIMING: gc:0.03385 entire_frame_compile:100.2505 _recursive_pre_grad_passes:0.03126 _recursive_joint_graph_passes:0.59453 _recursive_post_grad_passes:0.38421 async_compile.wait:2.2536 code_gen:6.55785 inductor_compile:16.13712 backend_compile:26.67391 cudagraphify.get_container:0.01667 CachingAutotuner.benchmark_all_configs:1.58611 pad_mm_benchmark:0.00222 CUDAGraphNode.record:0.01184 total_wall_time:100.2505 2025-10-10T02:23:12.1861369Z STATS: call_* op count: 3077 | FakeTensor.__torch_dispatch__:25694 | FakeTensorMode.__torch_dispatch__:52006 | attempt fast:742 | fast is_contiguous:566 | slow both tensors nontrivially broadcast:176 | ProxyTorchDispatchMode.__torch_dispatch__:9838 2025-10-10T02:23:12.1862913Z Dynamo produced 19 graphs covering 1125 ops with 20 graph breaks (3 unique) 2025-10-10T02:23:18.6733032Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:23:18.6734317Z import pynvml # type: ignore[import] 2025-10-10T02:23:21.3298972Z 2025-10-10T02:23:23.5106295Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:23:23.5106994Z loading model: 0it [00:02, ?it/s] 2025-10-10T02:23:23.5203385Z cuda eval yolov3 2025-10-10T02:23:45.7807282Z cudagraph partition due to non gpu ops. Found from : 2025-10-10T02:23:45.7807892Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass 2025-10-10T02:23:45.7808443Z return mod(*inputs) 2025-10-10T02:23:45.7809200Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-10-10T02:23:45.7809686Z return self.forward_once(x) 2025-10-10T02:23:45.7810168Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once 2025-10-10T02:23:45.7810674Z yolo_out.append(module(x, out)) 2025-10-10T02:23:45.7811151Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward 2025-10-10T02:23:45.7811673Z self.grid = self.create_grids((nx, ny), p.device) 2025-10-10T02:23:45.7812189Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids 2025-10-10T02:23:45.7812721Z self.ng = torch.tensor(ng, dtype=torch.float) 2025-10-10T02:23:45.7812961Z 2025-10-10T02:23:45.7813121Z cudagraph partition due to non gpu ops. Found from : 2025-10-10T02:23:45.7813680Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass 2025-10-10T02:23:45.7814192Z return mod(*inputs) 2025-10-10T02:23:45.7814619Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-10-10T02:23:45.7815095Z return self.forward_once(x) 2025-10-10T02:23:45.7815561Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once 2025-10-10T02:23:45.7816060Z yolo_out.append(module(x, out)) 2025-10-10T02:23:45.7816515Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward 2025-10-10T02:23:45.7817028Z self.grid = self.create_grids((nx, ny), p.device) 2025-10-10T02:23:45.7817547Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids 2025-10-10T02:23:45.7818069Z self.ng = torch.tensor(ng, dtype=torch.float) 2025-10-10T02:23:45.7818298Z 2025-10-10T02:23:45.7818460Z cudagraph partition due to non gpu ops. Found from : 2025-10-10T02:23:45.7819010Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass 2025-10-10T02:23:45.7819512Z return mod(*inputs) 2025-10-10T02:23:45.7819937Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-10-10T02:23:45.7820409Z return self.forward_once(x) 2025-10-10T02:23:45.7820866Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once 2025-10-10T02:23:45.7821365Z yolo_out.append(module(x, out)) 2025-10-10T02:23:45.7821827Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward 2025-10-10T02:23:45.7822335Z self.grid = self.create_grids((nx, ny), p.device) 2025-10-10T02:23:45.7822852Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids 2025-10-10T02:23:45.7823368Z self.ng = torch.tensor(ng, dtype=torch.float) 2025-10-10T02:23:45.7823605Z 2025-10-10T02:23:45.8964433Z cudagraph partition into 2 partitions 2025-10-10T02:24:05.4711795Z Compilation time (from dynamo_timed): 35.323420678 2025-10-10T02:24:05.4712329Z pass 2025-10-10T02:24:05.4845101Z TIMING: _recursive_pre_grad_passes:0.02013 _recursive_joint_graph_passes:0.3143 _recursive_post_grad_passes:0.35905 async_compile.wait:4.04125 code_gen:10.90229 inductor_compile:15.2874 backend_compile:23.68548 gc:0.00086 entire_frame_compile:35.32342 cudagraphify.get_container:0.00221 CachingAutotuner.benchmark_all_configs:0.7014 total_wall_time:35.32342 2025-10-10T02:24:05.4846818Z STATS: call_* op count: 670 | FakeTensorMode.__torch_dispatch__:12621 | FakeTensor.__torch_dispatch__:11131 | ProxyTorchDispatchMode.__torch_dispatch__:4101 2025-10-10T02:24:05.4847603Z Dynamo produced 2 graphs covering 670 ops with 0 graph breaks (0 unique) 2025-10-10T02:24:08.4938169Z accuracy pass_rate=82.50% 2025-10-10T02:24:08.4942540Z calls_captured gmean=0.00x mean=312.625x 2025-10-10T02:24:08.4946121Z unique_graphs gmean=0.00x mean=1.600x 2025-10-10T02:24:08.4949860Z graph_breaks gmean=0.00x mean=1.025x 2025-10-10T02:24:08.4954168Z unique_graph_breaks gmean=0.00x mean=0.275x 2025-10-10T02:24:08.4958716Z autograd_captures gmean=0.00x mean=0.000x 2025-10-10T02:24:08.4962105Z autograd_compiles gmean=0.00x mean=0.000x 2025-10-10T02:24:08.4965930Z cudagraph_skips gmean=nanx mean=-0.125x 2025-10-10T02:24:08.4967614Z compilation_latency mean=15.811 seconds 2025-10-10T02:24:09.2182726Z + python benchmarks/dynamo/check_accuracy.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_inference.csv 2025-10-10T02:24:09.5587382Z llama_v2_7b_16h XFAIL 2025-10-10T02:24:09.5593093Z llava XFAIL 2025-10-10T02:24:09.5596576Z maml XFAIL 2025-10-10T02:24:09.5601546Z maml_omniglot PASS 2025-10-10T02:24:09.5606811Z microbench_unbacked_tolist_sum PASS 2025-10-10T02:24:09.5611833Z mnasnet1_0 PASS 2025-10-10T02:24:09.5616822Z mobilenet_v2 PASS 2025-10-10T02:24:09.5621791Z mobilenet_v2_quantized_qat XFAIL 2025-10-10T02:24:09.5626657Z mobilenet_v3_large PASS 2025-10-10T02:24:09.5631458Z moco PASS 2025-10-10T02:24:09.5636680Z moondream XFAIL 2025-10-10T02:24:09.5641509Z nanogpt PASS 2025-10-10T02:24:09.5646423Z nvidia_deeprecommender PASS 2025-10-10T02:24:09.5651185Z opacus_cifar10 PASS 2025-10-10T02:24:09.5656170Z phlippe_densenet PASS 2025-10-10T02:24:09.5660982Z phlippe_resnet PASS 2025-10-10T02:24:09.5665905Z pyhpc_equation_of_state PASS 2025-10-10T02:24:09.5670641Z pyhpc_isoneutral_mixing PASS 2025-10-10T02:24:09.5675843Z pyhpc_turbulent_kinetic_energy PASS 2025-10-10T02:24:09.5680819Z pytorch_CycleGAN_and_pix2pix PASS 2025-10-10T02:24:09.5686053Z pytorch_stargan PASS 2025-10-10T02:24:09.5690921Z pytorch_unet PASS 2025-10-10T02:24:09.5696175Z resnet152 PASS 2025-10-10T02:24:09.5701046Z resnet18 PASS 2025-10-10T02:24:09.5706680Z resnet50 PASS 2025-10-10T02:24:09.5711679Z resnet50_quantized_qat XFAIL 2025-10-10T02:24:09.5716967Z resnext50_32x4d PASS 2025-10-10T02:24:09.5721956Z sam PASS 2025-10-10T02:24:09.5727079Z sam_fast PASS 2025-10-10T02:24:09.5732025Z shufflenet_v2_x1_0 PASS 2025-10-10T02:24:09.5737235Z soft_actor_critic PASS 2025-10-10T02:24:09.5742185Z speech_transformer PASS 2025-10-10T02:24:09.5747316Z squeezenet1_1 PASS 2025-10-10T02:24:09.5752227Z stable_diffusion_text_encoder PASS 2025-10-10T02:24:09.5757602Z stable_diffusion_unet XFAIL 2025-10-10T02:24:09.5762629Z torch_multimodal_clip PASS 2025-10-10T02:24:09.5767699Z tts_angular PASS 2025-10-10T02:24:09.5772618Z vgg16 PASS 2025-10-10T02:24:09.5777906Z vision_maskrcnn PASS 2025-10-10T02:24:09.5782827Z yolov3 PASS 2025-10-10T02:24:09.6313598Z + python benchmarks/dynamo/check_graph_breaks.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_inference.csv 2025-10-10T02:24:09.9751368Z llama_v2_7b_16h PASS 2025-10-10T02:24:09.9756476Z llava PASS 2025-10-10T02:24:09.9762089Z maml PASS 2025-10-10T02:24:09.9767587Z maml_omniglot PASS 2025-10-10T02:24:09.9773261Z microbench_unbacked_tolist_sum PASS 2025-10-10T02:24:09.9778674Z mnasnet1_0 PASS 2025-10-10T02:24:09.9784229Z mobilenet_v2 PASS 2025-10-10T02:24:09.9789606Z mobilenet_v2_quantized_qat PASS 2025-10-10T02:24:09.9795523Z mobilenet_v3_large PASS 2025-10-10T02:24:09.9800917Z moco PASS 2025-10-10T02:24:09.9807522Z moondream PASS 2025-10-10T02:24:09.9812848Z nanogpt PASS 2025-10-10T02:24:09.9818478Z nvidia_deeprecommender PASS 2025-10-10T02:24:09.9823754Z opacus_cifar10 PASS 2025-10-10T02:24:09.9829271Z phlippe_densenet PASS 2025-10-10T02:24:09.9834727Z phlippe_resnet PASS 2025-10-10T02:24:09.9840682Z pyhpc_equation_of_state PASS 2025-10-10T02:24:09.9846061Z pyhpc_isoneutral_mixing PASS 2025-10-10T02:24:09.9851342Z pyhpc_turbulent_kinetic_energy PASS 2025-10-10T02:24:09.9856781Z pytorch_CycleGAN_and_pix2pix PASS 2025-10-10T02:24:09.9862171Z pytorch_stargan PASS 2025-10-10T02:24:09.9867550Z pytorch_unet PASS 2025-10-10T02:24:09.9872920Z resnet152 PASS 2025-10-10T02:24:09.9878672Z resnet18 PASS 2025-10-10T02:24:09.9883953Z resnet50 PASS 2025-10-10T02:24:09.9889355Z resnet50_quantized_qat PASS 2025-10-10T02:24:09.9894964Z resnext50_32x4d PASS 2025-10-10T02:24:09.9900171Z sam PASS 2025-10-10T02:24:09.9905899Z sam_fast PASS 2025-10-10T02:24:09.9910894Z shufflenet_v2_x1_0 PASS 2025-10-10T02:24:09.9916034Z soft_actor_critic PASS 2025-10-10T02:24:09.9921251Z speech_transformer PASS 2025-10-10T02:24:09.9926271Z squeezenet1_1 PASS 2025-10-10T02:24:09.9931426Z stable_diffusion_text_encoder PASS 2025-10-10T02:24:09.9936476Z stable_diffusion_unet PASS 2025-10-10T02:24:09.9941586Z torch_multimodal_clip PASS 2025-10-10T02:24:09.9946634Z tts_angular PASS 2025-10-10T02:24:09.9951718Z vgg16 PASS 2025-10-10T02:24:09.9956844Z vision_maskrcnn PASS 2025-10-10T02:24:09.9962106Z yolov3 PASS_BUT_FLAKY 2025-10-10T02:24:10.0492753Z + test_single_dynamo_benchmark training torchbench 1 --training --amp 2025-10-10T02:24:10.0496307Z ++ pwd 2025-10-10T02:24:10.0500053Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-10-10T02:24:10.0500511Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-10-10T02:24:10.0541583Z + local name=training 2025-10-10T02:24:10.0541904Z + shift 2025-10-10T02:24:10.0542215Z + local suite=torchbench 2025-10-10T02:24:10.0542491Z + shift 2025-10-10T02:24:10.0542690Z + local shard_id=1 2025-10-10T02:24:10.0542908Z + shift 2025-10-10T02:24:10.0543110Z + partition_flags=() 2025-10-10T02:24:10.0543347Z + local partition_flags 2025-10-10T02:24:10.0543986Z + [[ -n 2 ]] 2025-10-10T02:24:10.0544278Z + [[ -n 1 ]] 2025-10-10T02:24:10.0544785Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-10-10T02:24:10.0545392Z + [[ inductor_torchbench == *perf_compare* ]] 2025-10-10T02:24:10.0545847Z + [[ inductor_torchbench == *perf* ]] 2025-10-10T02:24:10.0546254Z + [[ inductor_torchbench == *_avx2* ]] 2025-10-10T02:24:10.0546645Z + [[ inductor_torchbench == *_avx512* ]] 2025-10-10T02:24:10.0547730Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --inductor --device cuda --training --amp --total-partitions 2 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/training_torchbench.csv 2025-10-10T02:24:10.6475682Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:24:10.6476906Z import pynvml # type: ignore[import] 2025-10-10T02:24:13.9902139Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:24:13.9903740Z import pynvml # type: ignore[import] 2025-10-10T02:24:16.6499371Z 2025-10-10T02:24:17.2200902Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:24:17.2201221Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:24:17.2201543Z cuda train llava 2025-10-10T02:24:17.2208705Z Traceback (most recent call last): 2025-10-10T02:24:17.2209226Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4191, in run 2025-10-10T02:24:17.2209698Z ) = runner.load_model( 2025-10-10T02:24:17.2210177Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 301, in load_model 2025-10-10T02:24:17.2210682Z benchmark = benchmark_cls( 2025-10-10T02:24:17.2211081Z File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__ 2025-10-10T02:24:17.2211510Z obj = type.__call__(cls, *args, **kwargs) 2025-10-10T02:24:17.2211965Z File "/torchbench/torchbenchmark/models/llava/__init__.py", line 12, in __init__ 2025-10-10T02:24:17.2212405Z super().__init__( 2025-10-10T02:24:17.2212894Z File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__ 2025-10-10T02:24:17.2213421Z super().__init__( 2025-10-10T02:24:17.2213784Z File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__ 2025-10-10T02:24:17.2214201Z self._skip_by_device_name() 2025-10-10T02:24:17.2214640Z File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name 2025-10-10T02:24:17.2215110Z raise NotImplementedError( 2025-10-10T02:24:17.2215590Z NotImplementedError: The current device NVIDIA A10G is skipped by its `llava/metadata.yaml`. 2025-10-10T02:24:17.2215979Z 2025-10-10T02:24:17.2216077Z model_fail_to_load 2025-10-10T02:24:18.6664032Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:24:18.6665245Z import pynvml # type: ignore[import] 2025-10-10T02:24:21.3169787Z 2025-10-10T02:24:22.2224778Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:24:22.2225140Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:24:22.2225456Z cuda train maml_omniglot 2025-10-10T02:24:34.2590344Z W1010 02:24:34.257000 27392 site-packages/torch/_logging/_internal.py:1201] [6/0] Profiler function will be ignored 2025-10-10T02:24:38.4906107Z Compilation time (from dynamo_timed): 14.586629667 2025-10-10T02:24:38.4906483Z pass 2025-10-10T02:24:38.4908167Z TIMING: gc:0.00436 entire_frame_compile:9.72567 _recursive_pre_grad_passes:0.00894 pad_mm_benchmark:0.22394 _recursive_joint_graph_passes:0.59367 _recursive_post_grad_passes:0.05442 async_compile.precompile:0.70009 async_compile.wait:2.89278 code_gen:8.58584 inductor_compile:9.67314 backend_compile:8.31033 cudagraphify.get_container:0.00299 CachingAutotuner.benchmark_all_configs:0.28626 entire_backward_compile:4.86096 CUDAGraphNode.record:0.00733 total_wall_time:14.58663 2025-10-10T02:24:38.4910254Z STATS: call_* op count: 107 | FakeTensor.__torch_dispatch__:2474 | FakeTensorMode.__torch_dispatch__:2925 | ProxyTorchDispatchMode.__torch_dispatch__:869 2025-10-10T02:24:38.4911030Z Dynamo produced 3 graphs covering 107 ops with 7 graph breaks (5 unique) 2025-10-10T02:24:41.2698525Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:24:41.2700817Z import pynvml # type: ignore[import] 2025-10-10T02:24:43.9417508Z 2025-10-10T02:24:44.2916155Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:24:44.2916480Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:24:44.2916796Z cuda train microbench_unbacked_tolist_sum 2025-10-10T02:24:47.9427748Z W1010 02:24:47.941000 27880 site-packages/torch/_dynamo/variables/tensor.py:1045] [4/0] Graph break from `Tensor.item()`, consider setting: 2025-10-10T02:24:47.9428711Z W1010 02:24:47.941000 27880 site-packages/torch/_dynamo/variables/tensor.py:1045] [4/0] torch._dynamo.config.capture_scalar_outputs = True 2025-10-10T02:24:47.9429482Z W1010 02:24:47.941000 27880 site-packages/torch/_dynamo/variables/tensor.py:1045] [4/0] or: 2025-10-10T02:24:47.9430231Z W1010 02:24:47.941000 27880 site-packages/torch/_dynamo/variables/tensor.py:1045] [4/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-10-10T02:24:47.9431343Z W1010 02:24:47.941000 27880 site-packages/torch/_dynamo/variables/tensor.py:1045] [4/0] to include these operations in the captured graph. 2025-10-10T02:24:47.9432353Z W1010 02:24:47.941000 27880 site-packages/torch/_dynamo/variables/tensor.py:1045] [4/0] 2025-10-10T02:24:47.9433048Z W1010 02:24:47.941000 27880 site-packages/torch/_dynamo/variables/tensor.py:1045] [4/0] Graph break: from user code at: 2025-10-10T02:24:47.9434217Z W1010 02:24:47.941000 27880 site-packages/torch/_dynamo/variables/tensor.py:1045] [4/0] File "/torchbench/torchbenchmark/models/microbench_unbacked_tolist_sum/__init__.py", line 18, in torch_dynamo_resume_in_forward_at_13 2025-10-10T02:24:47.9435447Z W1010 02:24:47.941000 27880 site-packages/torch/_dynamo/variables/tensor.py:1045] [4/0] sum += tv[i].item() 2025-10-10T02:24:47.9436110Z W1010 02:24:47.941000 27880 site-packages/torch/_dynamo/variables/tensor.py:1045] [4/0] 2025-10-10T02:24:47.9436694Z W1010 02:24:47.941000 27880 site-packages/torch/_dynamo/variables/tensor.py:1045] [4/0] 2025-10-10T02:24:48.1430372Z W1010 02:24:48.142000 27880 site-packages/torch/_logging/_internal.py:1201] [10/0] Profiler function will be ignored 2025-10-10T02:24:48.8587680Z Compilation time (from dynamo_timed): 3.189906811 2025-10-10T02:24:48.8588149Z pass 2025-10-10T02:24:48.8589906Z TIMING: gc:0.00538 entire_frame_compile:3.18991 _recursive_pre_grad_passes:0.00661 _recursive_joint_graph_passes:0.17637 inductor_compile:0.30074 backend_compile:2.01514 _recursive_post_grad_passes:0.0178 async_compile.precompile:0.1489 async_compile.wait:0.00017 code_gen:0.21564 cudagraphify.get_container:0.00221 CUDAGraphNode.record:0.00104 total_wall_time:3.18991 2025-10-10T02:24:48.8592341Z STATS: call_* op count: 30 | FakeTensor.__torch_dispatch__:2133 | FakeTensorMode.__torch_dispatch__:527 | ProxyTorchDispatchMode.__torch_dispatch__:62 2025-10-10T02:24:48.8594070Z Dynamo produced 4 graphs covering 30 ops with 9 graph breaks (6 unique) 2025-10-10T02:24:54.4606038Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:24:54.4607238Z import pynvml # type: ignore[import] 2025-10-10T02:24:57.1136728Z 2025-10-10T02:24:59.7505801Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:24:59.7506153Z loading model: 0it [00:02, ?it/s] 2025-10-10T02:24:59.7506468Z cuda train mnasnet1_0 2025-10-10T02:25:36.8827068Z W1010 02:25:36.881000 27986 site-packages/torch/_logging/_internal.py:1201] [6/0] Profiler function will be ignored 2025-10-10T02:26:11.5458220Z Compilation time (from dynamo_timed): 64.44553088 2025-10-10T02:26:11.5479441Z pass 2025-10-10T02:26:11.5514026Z TIMING: gc:0.0083 entire_frame_compile:53.25446 _recursive_pre_grad_passes:0.03017 pad_mm_benchmark:0.22006 _recursive_joint_graph_passes:0.68228 _recursive_post_grad_passes:0.4543 async_compile.wait:2.97313 code_gen:19.71469 inductor_compile:33.48484 backend_compile:39.59468 cudagraphify.get_container:0.00321 CachingAutotuner.benchmark_all_configs:2.13432 entire_backward_compile:11.19107 CUDAGraphNode.record:0.1356 total_wall_time:64.44553 2025-10-10T02:26:11.5516297Z STATS: call_* op count: 965 | FakeTensorMode.__torch_dispatch__:25873 | FakeTensor.__torch_dispatch__:29912 | ProxyTorchDispatchMode.__torch_dispatch__:10238 2025-10-10T02:26:11.5517099Z Dynamo produced 3 graphs covering 965 ops with 7 graph breaks (5 unique) 2025-10-10T02:26:16.2936488Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:26:16.2937770Z import pynvml # type: ignore[import] 2025-10-10T02:26:18.9897548Z 2025-10-10T02:26:21.0428724Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:26:21.0429087Z loading model: 0it [00:02, ?it/s] 2025-10-10T02:26:21.0429390Z cuda train mobilenet_v2 2025-10-10T02:26:59.2369606Z Compilation time (from dynamo_timed): 32.81515591 2025-10-10T02:26:59.2389468Z pass 2025-10-10T02:26:59.2445587Z TIMING: gc:0.00523 entire_frame_compile:20.13158 _recursive_pre_grad_passes:0.00876 pad_mm_benchmark:0.04141 _recursive_joint_graph_passes:0.38446 _recursive_post_grad_passes:0.45274 async_compile.wait:0.21232 code_gen:9.81193 inductor_compile:17.59312 backend_compile:13.61744 cudagraphify.get_container:0.00302 CachingAutotuner.benchmark_all_configs:1.63658 entire_backward_compile:12.68357 CUDAGraphNode.record:0.06263 total_wall_time:32.81516 2025-10-10T02:26:59.2447589Z STATS: call_* op count: 157 | FakeTensorMode.__torch_dispatch__:17953 | FakeTensor.__torch_dispatch__:17131 | ProxyTorchDispatchMode.__torch_dispatch__:6881 2025-10-10T02:26:59.2448425Z Dynamo produced 2 graphs covering 157 ops with 6 graph breaks (5 unique) 2025-10-10T02:27:03.1023298Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:27:03.1024709Z import pynvml # type: ignore[import] 2025-10-10T02:27:05.7223321Z 2025-10-10T02:27:07.5028229Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:27:07.5028684Z loading model: 0it [00:01, ?it/s] 2025-10-10T02:27:07.5029117Z cuda train mobilenet_v2_quantized_qat 2025-10-10T02:27:07.5029569Z Traceback (most recent call last): 2025-10-10T02:27:07.5030208Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1961, in validate_model 2025-10-10T02:27:07.5031180Z self.model_iter_fn(model, example_inputs) 2025-10-10T02:27:07.5031927Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 465, in forward_and_backward_pass 2025-10-10T02:27:07.5032510Z pred = mod(*cloned_inputs) 2025-10-10T02:27:07.5033044Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 844, in call_wrapped 2025-10-10T02:27:07.5033633Z return self._wrapped_call(self, *args, **kwargs) 2025-10-10T02:27:07.5034187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 414, in __call__ 2025-10-10T02:27:07.5034833Z raise e 2025-10-10T02:27:07.5035281Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 401, in __call__ 2025-10-10T02:27:07.5035914Z return super(self.cls, obj).__call__(*args, **kwargs) # type: ignore[misc] 2025-10-10T02:27:07.5036610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1784, in _wrapped_call_impl 2025-10-10T02:27:07.5037213Z return self._call_impl(*args, **kwargs) 2025-10-10T02:27:07.5037968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1795, in _call_impl 2025-10-10T02:27:07.5038635Z return forward_call(*args, **kwargs) 2025-10-10T02:27:07.5038991Z File ".3", line 207, in forward 2025-10-10T02:27:07.5039588Z activation_post_process_101 = self.activation_post_process_101(classifier_1); classifier_1 = None 2025-10-10T02:27:07.5040537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1784, in _wrapped_call_impl 2025-10-10T02:27:07.5041248Z return self._call_impl(*args, **kwargs) 2025-10-10T02:27:07.5041900Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1795, in _call_impl 2025-10-10T02:27:07.5042558Z return forward_call(*args, **kwargs) 2025-10-10T02:27:07.5043247Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fake_quantize.py", line 411, in forward 2025-10-10T02:27:07.5043985Z return torch.fused_moving_avg_obs_fake_quant( 2025-10-10T02:27:07.5044420Z RuntimeError: expected scalar type Half but found Float 2025-10-10T02:27:07.5044715Z 2025-10-10T02:27:07.5044944Z The above exception was the direct cause of the following exception: 2025-10-10T02:27:07.5045288Z 2025-10-10T02:27:07.5045404Z Traceback (most recent call last): 2025-10-10T02:27:07.5045833Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4191, in run 2025-10-10T02:27:07.5046282Z ) = runner.load_model( 2025-10-10T02:27:07.5046733Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 375, in load_model 2025-10-10T02:27:07.5047252Z self.validate_model(model, example_inputs) 2025-10-10T02:27:07.5047753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1963, in validate_model 2025-10-10T02:27:07.5048274Z raise RuntimeError("Eager run failed") from e 2025-10-10T02:27:07.5048602Z RuntimeError: Eager run failed 2025-10-10T02:27:07.5048774Z 2025-10-10T02:27:07.5048867Z eager_fail_to_run 2025-10-10T02:27:09.1524892Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:27:09.1526184Z import pynvml # type: ignore[import] 2025-10-10T02:27:11.7928312Z 2025-10-10T02:27:14.2023499Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:27:14.2023851Z loading model: 0it [00:02, ?it/s] 2025-10-10T02:27:14.2024169Z cuda train mobilenet_v3_large 2025-10-10T02:27:59.6221661Z W1010 02:27:59.621000 32099 site-packages/torch/_logging/_internal.py:1201] [6/0] Profiler function will be ignored 2025-10-10T02:28:38.6858636Z E1010 02:28:38.684000 32099 site-packages/torch/_dynamo/utils.py:3146] RMSE (res-fp64): 0.02193, (ref-fp64): 0.00603 and shape=torch.Size([672]). res.dtype: torch.float32, multiplier: 3.000000, tol: 0.001000, use_larger_multiplier_for_smaller_tensor: 0 2025-10-10T02:28:38.6863249Z E1010 02:28:38.685000 32099 site-packages/torch/_dynamo/utils.py:3007] Accuracy failed for key name features.12.block.2.fc2.bias.grad 2025-10-10T02:28:38.7118728Z Compilation time (from dynamo_timed): 76.38057161100001 2025-10-10T02:28:38.7140274Z pass 2025-10-10T02:28:38.7179087Z TIMING: gc:0.00591 entire_frame_compile:61.6206 _recursive_pre_grad_passes:0.03483 pad_mm_benchmark:0.21971 _recursive_joint_graph_passes:0.9935 _recursive_post_grad_passes:0.61176 async_compile.wait:3.82176 code_gen:24.70075 inductor_compile:41.58184 backend_compile:45.65669 cudagraphify.get_container:0.00397 CachingAutotuner.benchmark_all_configs:3.13467 entire_backward_compile:14.75997 CUDAGraphNode.record:0.16592 total_wall_time:76.38057 2025-10-10T02:28:38.7181108Z STATS: call_* op count: 1080 | FakeTensorMode.__torch_dispatch__:29836 | FakeTensor.__torch_dispatch__:36208 | ProxyTorchDispatchMode.__torch_dispatch__:11376 2025-10-10T02:28:38.7182267Z Dynamo produced 3 graphs covering 1080 ops with 7 graph breaks (5 unique) 2025-10-10T02:28:43.7893663Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:28:43.7894854Z import pynvml # type: ignore[import] 2025-10-10T02:28:46.4408712Z 2025-10-10T02:28:48.8240958Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:28:48.8241403Z loading model: 0it [00:02, ?it/s] 2025-10-10T02:28:48.8241794Z cuda train moco 2025-10-10T02:28:54.2016175Z [rank0]:W1010 02:28:54.200000 35561 site-packages/torch/_logging/_internal.py:1201] [2/0] Profiler function will be ignored 2025-10-10T02:29:05.2638190Z [rank0]:W1010 02:29:05.262000 35561 site-packages/torch/_dynamo/backends/distributed.py:109] [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. 2025-10-10T02:29:05.2916491Z [rank0]:W1010 02:29:05.290000 35561 site-packages/torch/_dynamo/backends/distributed.py:126] [6/0_1] DDPOptimizer extended these buckets to ensure per-subgraph output nodes: 2025-10-10T02:29:05.2917961Z [rank0]:W1010 02:29:05.290000 35561 site-packages/torch/_dynamo/backends/distributed.py:126] [6/0_1] ┌─────────┬─────────────┬────────────────────────┐ 2025-10-10T02:29:05.2919060Z [rank0]:W1010 02:29:05.290000 35561 site-packages/torch/_dynamo/backends/distributed.py:126] [6/0_1] │ Index │ Extra Ops │ Extra Param Size (b) │ 2025-10-10T02:29:05.2920188Z [rank0]:W1010 02:29:05.290000 35561 site-packages/torch/_dynamo/backends/distributed.py:126] [6/0_1] ├─────────┼─────────────┼────────────────────────┤ 2025-10-10T02:29:05.2921230Z [rank0]:W1010 02:29:05.290000 35561 site-packages/torch/_dynamo/backends/distributed.py:126] [6/0_1] │ 0 │ 480 │ 94032128 │ 2025-10-10T02:29:05.2922300Z [rank0]:W1010 02:29:05.290000 35561 site-packages/torch/_dynamo/backends/distributed.py:126] [6/0_1] └─────────┴─────────────┴────────────────────────┘ 2025-10-10T02:29:36.5303467Z [rank0]:W1010 02:29:36.529000 35561 site-packages/torch/_dynamo/variables/tensor.py:1045] [9/0] Graph break from `Tensor.item()`, consider setting: 2025-10-10T02:29:36.5304487Z [rank0]:W1010 02:29:36.529000 35561 site-packages/torch/_dynamo/variables/tensor.py:1045] [9/0] torch._dynamo.config.capture_scalar_outputs = True 2025-10-10T02:29:36.5305779Z [rank0]:W1010 02:29:36.529000 35561 site-packages/torch/_dynamo/variables/tensor.py:1045] [9/0] or: 2025-10-10T02:29:36.5306590Z [rank0]:W1010 02:29:36.529000 35561 site-packages/torch/_dynamo/variables/tensor.py:1045] [9/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-10-10T02:29:36.5307512Z [rank0]:W1010 02:29:36.529000 35561 site-packages/torch/_dynamo/variables/tensor.py:1045] [9/0] to include these operations in the captured graph. 2025-10-10T02:29:36.5308297Z [rank0]:W1010 02:29:36.529000 35561 site-packages/torch/_dynamo/variables/tensor.py:1045] [9/0] 2025-10-10T02:29:36.5309024Z [rank0]:W1010 02:29:36.529000 35561 site-packages/torch/_dynamo/variables/tensor.py:1045] [9/0] Graph break: from user code at: 2025-10-10T02:29:36.5310167Z [rank0]:W1010 02:29:36.529000 35561 site-packages/torch/_dynamo/variables/tensor.py:1045] [9/0] File "/torchbench/torchbenchmark/models/moco/moco/builder.py", line 167, in torch_dynamo_resume_in_forward_at_142 2025-10-10T02:29:36.5311321Z [rank0]:W1010 02:29:36.529000 35561 site-packages/torch/_dynamo/variables/tensor.py:1045] [9/0] self._dequeue_and_enqueue(k) 2025-10-10T02:29:36.5312683Z [rank0]:W1010 02:29:36.529000 35561 site-packages/torch/_dynamo/variables/tensor.py:1045] [9/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 122, in decorate_context 2025-10-10T02:29:36.5313815Z [rank0]:W1010 02:29:36.529000 35561 site-packages/torch/_dynamo/variables/tensor.py:1045] [9/0] return func(*args, **kwargs) 2025-10-10T02:29:36.5314995Z [rank0]:W1010 02:29:36.529000 35561 site-packages/torch/_dynamo/variables/tensor.py:1045] [9/0] File "/torchbench/torchbenchmark/models/moco/moco/builder.py", line 68, in _dequeue_and_enqueue 2025-10-10T02:29:36.5316075Z [rank0]:W1010 02:29:36.529000 35561 site-packages/torch/_dynamo/variables/tensor.py:1045] [9/0] ptr = int(self.queue_ptr) 2025-10-10T02:29:36.5316804Z [rank0]:W1010 02:29:36.529000 35561 site-packages/torch/_dynamo/variables/tensor.py:1045] [9/0] 2025-10-10T02:29:36.5317434Z [rank0]:W1010 02:29:36.529000 35561 site-packages/torch/_dynamo/variables/tensor.py:1045] [9/0] 2025-10-10T02:30:12.9021151Z Compilation time (from dynamo_timed): 74.155894147 2025-10-10T02:30:12.9066057Z pass 2025-10-10T02:30:12.9422566Z TIMING: gc:0.01161 entire_frame_compile:56.51495 _recursive_pre_grad_passes:0.11059 _recursive_joint_graph_passes:0.87417 inductor_compile:36.63684 backend_compile:36.25452 _recursive_post_grad_passes:0.65392 async_compile.wait:8.4314 code_gen:25.42707 pad_mm_benchmark:0.21668 cudagraphify.get_container:0.00895 CachingAutotuner.benchmark_all_configs:3.60878 entire_backward_compile:17.64094 CUDAGraphNode.record:0.09003 total_wall_time:74.15589 2025-10-10T02:30:12.9424589Z STATS: call_* op count: 887 | FakeTensorMode.__torch_dispatch__:32704 | ProxyTorchDispatchMode.__torch_dispatch__:11899 | FakeTensor.__torch_dispatch__:26822 2025-10-10T02:30:12.9425401Z Dynamo produced 10 graphs covering 887 ops with 13 graph breaks (9 unique) 2025-10-10T02:30:14.9508571Z [rank0]:[W1010 02:30:14.939929129 ProcessGroupNCCL.cpp:1552] 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()) 2025-10-10T02:30:17.9934449Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:30:17.9935826Z import pynvml # type: ignore[import] 2025-10-10T02:30:20.6500758Z 2025-10-10T02:30:22.5634835Z loading model: 0it [00:00, ?it/s]number of parameters: 123.69M 2025-10-10T02:30:22.8059790Z num decayed parameter tensors: 50, with 124,354,560 parameters 2025-10-10T02:30:22.8060247Z num non-decayed parameter tensors: 98, with 121,344 parameters 2025-10-10T02:30:22.8063144Z using fused AdamW: True 2025-10-10T02:30:23.3609793Z 2025-10-10T02:30:23.3610220Z loading model: 0it [00:02, ?it/s] 2025-10-10T02:30:23.3610667Z cuda train nanogpt 2025-10-10T02:30:49.6831376Z 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 465, in torch_dynamo_resume_in_forward_and_backward_pass_at_460 2025-10-10T02:30:49.6833190Z pred = mod(*cloned_inputs) 2025-10-10T02:30:49.6833888Z File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 240, in forward 2025-10-10T02:30:49.6834681Z x[:, [-1], :] 2025-10-10T02:30:49.6834883Z 2025-10-10T02:30:49.6834890Z 2025-10-10T02:30:50.1158516Z W1010 02:30:50.114000 38561 site-packages/torch/_logging/_internal.py:1201] [6/0] Profiler function will be ignored 2025-10-10T02:31:18.8965884Z Compilation time (from dynamo_timed): 52.242554811000005 2025-10-10T02:31:18.8982306Z pass 2025-10-10T02:31:18.9654519Z TIMING: gc:0.00611 entire_frame_compile:44.23866 _recursive_pre_grad_passes:0.02958 pad_mm_benchmark:0.28383 _recursive_joint_graph_passes:1.24962 _recursive_post_grad_passes:0.7696 async_compile.wait:2.60883 code_gen:16.84971 inductor_compile:28.22167 backend_compile:34.77414 cudagraphify.get_container:0.03967 CachingAutotuner.benchmark_all_configs:0.45011 entire_backward_compile:8.00389 CUDAGraphNode.record:0.02527 total_wall_time:52.24255 2025-10-10T02:31:18.9656540Z STATS: call_* op count: 1156 | FakeTensorMode.__torch_dispatch__:28849 | FakeTensor.__torch_dispatch__:28285 | ProxyTorchDispatchMode.__torch_dispatch__:9661 2025-10-10T02:31:18.9657344Z Dynamo produced 3 graphs covering 1156 ops with 7 graph breaks (5 unique) 2025-10-10T02:31:23.2228640Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:31:23.2229872Z import pynvml # type: ignore[import] 2025-10-10T02:31:25.8608405Z 2025-10-10T02:31:28.4667905Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:31:28.4668328Z loading model: 0it [00:02, ?it/s] 2025-10-10T02:31:28.4668662Z cuda train nvidia_deeprecommender 2025-10-10T02:31:36.6060904Z W1010 02:31:36.605000 39183 site-packages/torch/_logging/_internal.py:1201] [6/0] Profiler function will be ignored 2025-10-10T02:31:40.0906505Z Compilation time (from dynamo_timed): 8.864769069 2025-10-10T02:31:40.0907447Z pass 2025-10-10T02:31:40.1177277Z TIMING: gc:0.00435 entire_frame_compile:8.06674 _recursive_pre_grad_passes:0.00845 pad_mm_benchmark:1.01468 _recursive_joint_graph_passes:1.42587 _recursive_post_grad_passes:0.06681 async_compile.precompile:0.31775 async_compile.wait:1.68651 code_gen:2.99297 inductor_compile:3.89096 backend_compile:6.91021 cudagraphify.get_container:0.01534 CachingAutotuner.benchmark_all_configs:0.68898 entire_backward_compile:0.79803 CUDAGraphNode.record:0.00695 total_wall_time:8.86477 2025-10-10T02:31:40.1179384Z STATS: call_* op count: 96 | FakeTensorMode.__torch_dispatch__:2734 | FakeTensor.__torch_dispatch__:2404 | ProxyTorchDispatchMode.__torch_dispatch__:878 2025-10-10T02:31:40.1180158Z Dynamo produced 3 graphs covering 96 ops with 7 graph breaks (5 unique) 2025-10-10T02:31:42.9767848Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:31:42.9769769Z import pynvml # type: ignore[import] 2025-10-10T02:31:45.6150156Z 2025-10-10T02:31:46.7571290Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:31:46.7571646Z loading model: 0it [00:01, ?it/s] 2025-10-10T02:31:46.7572490Z cuda train opacus_cifar10 2025-10-10T02:31:46.7587769Z Traceback (most recent call last): 2025-10-10T02:31:46.7590612Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1961, in validate_model 2025-10-10T02:31:46.7591184Z self.model_iter_fn(model, example_inputs) 2025-10-10T02:31:46.7591793Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 467, in forward_and_backward_pass 2025-10-10T02:31:46.7592384Z self.grad_scaler.scale(loss).backward() 2025-10-10T02:31:46.7592917Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 627, in backward 2025-10-10T02:31:46.7593433Z torch.autograd.backward( 2025-10-10T02:31:46.7593961Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 356, in backward 2025-10-10T02:31:46.7594497Z _engine_run_backward( 2025-10-10T02:31:46.7595147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 849, in _engine_run_backward 2025-10-10T02:31:46.7596675Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-10-10T02:31:46.7597440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 90, in __call__ 2025-10-10T02:31:46.7598004Z return self.hook(module, *args, **kwargs) 2025-10-10T02:31:46.7598665Z 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 2025-10-10T02:31:46.7599379Z activations, backprops = self.rearrange_grad_samples( 2025-10-10T02:31:46.7600086Z 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 2025-10-10T02:31:46.7600722Z raise ValueError( 2025-10-10T02:31:46.7601250Z ValueError: No activations detected for , run forward after add_hooks(model) 2025-10-10T02:31:46.7601716Z 2025-10-10T02:31:46.7601918Z The above exception was the direct cause of the following exception: 2025-10-10T02:31:46.7602219Z 2025-10-10T02:31:46.7602602Z Traceback (most recent call last): 2025-10-10T02:31:46.7603058Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4191, in run 2025-10-10T02:31:46.7603517Z ) = runner.load_model( 2025-10-10T02:31:46.7603976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 375, in load_model 2025-10-10T02:31:46.7604506Z self.validate_model(model, example_inputs) 2025-10-10T02:31:46.7605023Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1963, in validate_model 2025-10-10T02:31:46.7605554Z raise RuntimeError("Eager run failed") from e 2025-10-10T02:31:46.7605890Z RuntimeError: Eager run failed 2025-10-10T02:31:46.7606068Z 2025-10-10T02:31:46.7606158Z eager_fail_to_run 2025-10-10T02:31:48.4018947Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:31:48.4020978Z import pynvml # type: ignore[import] 2025-10-10T02:31:51.0495002Z 2025-10-10T02:31:52.0616221Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:31:52.0616566Z loading model: 0it [00:01, ?it/s] 2025-10-10T02:31:52.0616877Z cuda train phlippe_densenet 2025-10-10T02:32:28.8306550Z Compilation time (from dynamo_timed): 33.411036681 2025-10-10T02:32:28.8327394Z pass 2025-10-10T02:32:28.8333775Z TIMING: gc:0.00394 entire_frame_compile:22.21199 _recursive_pre_grad_passes:0.00991 pad_mm_benchmark:0.2206 _recursive_joint_graph_passes:0.57343 _recursive_post_grad_passes:0.37441 async_compile.wait:0.34486 code_gen:12.13444 inductor_compile:17.45545 backend_compile:15.28719 cudagraphify.get_container:0.00269 CachingAutotuner.benchmark_all_configs:1.52961 entire_backward_compile:11.19905 CUDAGraphNode.record:0.05693 total_wall_time:33.41104 2025-10-10T02:32:28.8336350Z STATS: call_* op count: 190 | FakeTensorMode.__torch_dispatch__:17703 | FakeTensor.__torch_dispatch__:14446 | ProxyTorchDispatchMode.__torch_dispatch__:7117 2025-10-10T02:32:28.8337146Z Dynamo produced 2 graphs covering 190 ops with 6 graph breaks (5 unique) 2025-10-10T02:32:32.5015598Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:32:32.5016882Z import pynvml # type: ignore[import] 2025-10-10T02:32:35.1443247Z 2025-10-10T02:32:35.9627125Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:32:35.9627672Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:32:35.9628130Z cuda train phlippe_resnet 2025-10-10T02:32:50.3541672Z Compilation time (from dynamo_timed): 12.258998227 2025-10-10T02:32:50.3551272Z pass 2025-10-10T02:32:50.3553478Z TIMING: gc:0.00336 entire_frame_compile:8.97976 _recursive_pre_grad_passes:0.0069 pad_mm_benchmark:0.22584 _recursive_joint_graph_passes:0.47119 _recursive_post_grad_passes:0.15235 async_compile.wait:0.91695 code_gen:3.6744 inductor_compile:5.6652 backend_compile:6.51907 cudagraphify.get_container:0.00266 CachingAutotuner.benchmark_all_configs:0.66006 entire_backward_compile:3.27923 CUDAGraphNode.record:0.01577 total_wall_time:12.259 2025-10-10T02:32:50.3555864Z STATS: call_* op count: 75 | FakeTensorMode.__torch_dispatch__:6411 | FakeTensor.__torch_dispatch__:5356 | ProxyTorchDispatchMode.__torch_dispatch__:2675 2025-10-10T02:32:50.3556726Z Dynamo produced 2 graphs covering 75 ops with 6 graph breaks (5 unique) 2025-10-10T02:32:53.2064090Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:32:53.2066032Z import pynvml # type: ignore[import] 2025-10-10T02:32:55.8564353Z 2025-10-10T02:32:57.1961704Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:32:57.1962152Z loading model: 0it [00:01, ?it/s] 2025-10-10T02:32:57.1962579Z cuda train pytorch_CycleGAN_and_pix2pix 2025-10-10T02:33:25.6756913Z Compilation time (from dynamo_timed): 21.977863994 2025-10-10T02:33:25.6761568Z pass 2025-10-10T02:33:25.6851817Z TIMING: gc:0.00371 entire_frame_compile:12.26833 _recursive_pre_grad_passes:0.00566 _recursive_joint_graph_passes:0.44886 _recursive_post_grad_passes:0.28775 async_compile.wait:1.87182 code_gen:9.26895 inductor_compile:13.39908 backend_compile:9.95269 cudagraphify.get_container:0.0065 CachingAutotuner.benchmark_all_configs:0.82689 entire_backward_compile:9.70953 CUDAGraphNode.record:0.01676 total_wall_time:21.97786 2025-10-10T02:33:25.6854349Z STATS: call_* op count: 95 | FakeTensorMode.__torch_dispatch__:11412 | FakeTensor.__torch_dispatch__:10750 | ProxyTorchDispatchMode.__torch_dispatch__:5227 2025-10-10T02:33:25.6855141Z Dynamo produced 2 graphs covering 95 ops with 6 graph breaks (5 unique) 2025-10-10T02:33:28.9817847Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:33:28.9819263Z import pynvml # type: ignore[import] 2025-10-10T02:33:31.6233080Z 2025-10-10T02:33:33.2503636Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:33:33.2503979Z loading model: 0it [00:01, ?it/s] 2025-10-10T02:33:33.2504293Z cuda train pytorch_stargan 2025-10-10T02:34:04.2503098Z Compilation time (from dynamo_timed): 12.965925405 2025-10-10T02:34:04.2511941Z pass 2025-10-10T02:34:04.2596692Z TIMING: gc:0.00391 entire_frame_compile:9.80894 _recursive_pre_grad_passes:0.00584 _recursive_joint_graph_passes:0.44955 _recursive_post_grad_passes:0.1466 async_compile.wait:0.1368 code_gen:3.23886 inductor_compile:5.86289 backend_compile:7.58321 cudagraphify.get_container:0.00609 CachingAutotuner.benchmark_all_configs:0.47135 entire_backward_compile:3.15699 CUDAGraphNode.record:0.01589 total_wall_time:12.96593 2025-10-10T02:34:04.2598614Z STATS: call_* op count: 60 | FakeTensorMode.__torch_dispatch__:8657 | FakeTensor.__torch_dispatch__:5737 | ProxyTorchDispatchMode.__torch_dispatch__:3042 2025-10-10T02:34:04.2599390Z Dynamo produced 2 graphs covering 60 ops with 6 graph breaks (5 unique) 2025-10-10T02:34:07.2116031Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:34:07.2117312Z import pynvml # type: ignore[import] 2025-10-10T02:34:09.8447473Z 2025-10-10T02:34:10.9397405Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:34:10.9398251Z loading model: 0it [00:01, ?it/s] 2025-10-10T02:34:10.9398585Z cuda train pytorch_unet 2025-10-10T02:34:59.1057708Z W1010 02:34:59.104000 43811 site-packages/torch/_logging/_internal.py:1201] [6/0] Profiler function will be ignored 2025-10-10T02:35:15.6785919Z Compilation time (from dynamo_timed): 40.427782107 2025-10-10T02:35:15.6794318Z pass_due_to_skip 2025-10-10T02:35:15.6884362Z TIMING: gc:0.00676 entire_frame_compile:28.43863 _recursive_pre_grad_passes:0.01717 _recursive_joint_graph_passes:0.5249 _recursive_post_grad_passes:0.25074 async_compile.wait:4.09209 code_gen:19.46864 inductor_compile:25.47904 backend_compile:22.25402 cudagraphify.get_container:0.00667 CachingAutotuner.benchmark_all_configs:3.15657 entire_backward_compile:11.98915 CUDAGraphNode.record:0.04176 total_wall_time:40.42778 2025-10-10T02:35:15.6886773Z STATS: call_* op count: 464 | FakeTensorMode.__torch_dispatch__:13588 | FakeTensor.__torch_dispatch__:14972 | ProxyTorchDispatchMode.__torch_dispatch__:5028 2025-10-10T02:35:15.6887572Z Dynamo produced 3 graphs covering 464 ops with 7 graph breaks (5 unique) 2025-10-10T02:35:19.3984665Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:35:19.3987038Z import pynvml # type: ignore[import] 2025-10-10T02:35:22.0298130Z 2025-10-10T02:35:24.6701444Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:35:24.6701796Z loading model: 0it [00:02, ?it/s] 2025-10-10T02:35:24.6702119Z cuda train resnet152 2025-10-10T02:36:47.6059142Z W1010 02:36:47.604000 45692 site-packages/torch/_logging/_internal.py:1201] [6/0] Profiler function will be ignored 2025-10-10T02:38:46.6881584Z Compilation time (from dynamo_timed): 189.358890779 2025-10-10T02:38:46.6940065Z pass 2025-10-10T02:38:46.7333242Z TIMING: gc:0.00714 entire_frame_compile:162.90445 _recursive_pre_grad_passes:0.0756 pad_mm_benchmark:0.2197 _recursive_joint_graph_passes:1.2754 _recursive_post_grad_passes:1.36779 async_compile.wait:6.25324 code_gen:57.45834 inductor_compile:101.17893 backend_compile:120.46184 cudagraphify.get_container:0.02502 CachingAutotuner.benchmark_all_configs:1.07561 entire_backward_compile:26.45444 CUDAGraphNode.record:0.97895 total_wall_time:189.35889 2025-10-10T02:38:46.7335288Z STATS: call_* op count: 2873 | FakeTensorMode.__torch_dispatch__:72350 | FakeTensor.__torch_dispatch__:89009 | ProxyTorchDispatchMode.__torch_dispatch__:31370 2025-10-10T02:38:46.7336095Z Dynamo produced 3 graphs covering 2873 ops with 7 graph breaks (5 unique) 2025-10-10T02:38:55.0155542Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:38:55.0156748Z import pynvml # type: ignore[import] 2025-10-10T02:38:57.6437988Z 2025-10-10T02:38:59.1675999Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:38:59.1676347Z loading model: 0it [00:01, ?it/s] 2025-10-10T02:38:59.1676663Z cuda train resnet18 2025-10-10T02:39:19.5932242Z Compilation time (from dynamo_timed): 16.954988715 2025-10-10T02:39:19.5940350Z pass 2025-10-10T02:39:19.6016014Z TIMING: gc:0.00299 entire_frame_compile:9.2422 _recursive_pre_grad_passes:0.00616 pad_mm_benchmark:0.23275 _recursive_joint_graph_passes:0.47584 _recursive_post_grad_passes:0.14984 async_compile.wait:1.35081 code_gen:7.71503 inductor_compile:10.42647 backend_compile:6.9841 cudagraphify.get_container:0.00235 CachingAutotuner.benchmark_all_configs:0.85343 entire_backward_compile:7.71279 CUDAGraphNode.record:0.0159 total_wall_time:16.95499 2025-10-10T02:39:19.6018424Z STATS: call_* op count: 73 | FakeTensorMode.__torch_dispatch__:6818 | FakeTensor.__torch_dispatch__:5435 | ProxyTorchDispatchMode.__torch_dispatch__:2746 2025-10-10T02:39:19.6019210Z Dynamo produced 2 graphs covering 73 ops with 6 graph breaks (5 unique) 2025-10-10T02:39:22.7092249Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:39:22.7093551Z import pynvml # type: ignore[import] 2025-10-10T02:39:25.3492487Z 2025-10-10T02:39:27.6239865Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:39:27.6240517Z loading model: 0it [00:02, ?it/s] 2025-10-10T02:39:27.6241110Z cuda train resnet50 2025-10-10T02:40:03.3080836Z Compilation time (from dynamo_timed): 30.268412877000003 2025-10-10T02:40:03.3101358Z pass 2025-10-10T02:40:03.3269021Z TIMING: gc:0.0034 entire_frame_compile:19.04284 _recursive_pre_grad_passes:0.0091 pad_mm_benchmark:0.04021 _recursive_joint_graph_passes:0.38215 _recursive_post_grad_passes:0.36747 async_compile.wait:0.11815 code_gen:9.51254 inductor_compile:15.8263 backend_compile:13.07076 cudagraphify.get_container:0.00447 entire_backward_compile:11.22557 CUDAGraphNode.record:0.05859 total_wall_time:30.26841 2025-10-10T02:40:03.3270951Z STATS: call_* op count: 179 | FakeTensorMode.__torch_dispatch__:16716 | FakeTensor.__torch_dispatch__:14129 | ProxyTorchDispatchMode.__torch_dispatch__:7201 2025-10-10T02:40:03.3271746Z Dynamo produced 2 graphs covering 179 ops with 6 graph breaks (5 unique) 2025-10-10T02:40:07.0033475Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:40:07.0034843Z import pynvml # type: ignore[import] 2025-10-10T02:40:09.6452720Z 2025-10-10T02:40:11.7727301Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:40:11.7727667Z loading model: 0it [00:02, ?it/s] 2025-10-10T02:40:11.7727992Z cuda train resnet50_quantized_qat 2025-10-10T02:40:11.7728332Z Traceback (most recent call last): 2025-10-10T02:40:11.7728845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1961, in validate_model 2025-10-10T02:40:11.7729376Z self.model_iter_fn(model, example_inputs) 2025-10-10T02:40:11.7729976Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 465, in forward_and_backward_pass 2025-10-10T02:40:11.7730558Z pred = mod(*cloned_inputs) 2025-10-10T02:40:11.7731103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 844, in call_wrapped 2025-10-10T02:40:11.7732025Z return self._wrapped_call(self, *args, **kwargs) 2025-10-10T02:40:11.7732599Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 414, in __call__ 2025-10-10T02:40:11.7733123Z raise e 2025-10-10T02:40:11.7733583Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 401, in __call__ 2025-10-10T02:40:11.7734227Z return super(self.cls, obj).__call__(*args, **kwargs) # type: ignore[misc] 2025-10-10T02:40:11.7734929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1784, in _wrapped_call_impl 2025-10-10T02:40:11.7735542Z return self._call_impl(*args, **kwargs) 2025-10-10T02:40:11.7736110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1795, in _call_impl 2025-10-10T02:40:11.7736704Z return forward_call(*args, **kwargs) 2025-10-10T02:40:11.7737065Z File ".3", line 167, in forward 2025-10-10T02:40:11.7737500Z activation_post_process_73 = self.activation_post_process_73(fc); fc = None 2025-10-10T02:40:11.7738383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1784, in _wrapped_call_impl 2025-10-10T02:40:11.7738994Z return self._call_impl(*args, **kwargs) 2025-10-10T02:40:11.7739558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1795, in _call_impl 2025-10-10T02:40:11.7740118Z return forward_call(*args, **kwargs) 2025-10-10T02:40:11.7740706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fake_quantize.py", line 411, in forward 2025-10-10T02:40:11.7741330Z return torch.fused_moving_avg_obs_fake_quant( 2025-10-10T02:40:11.7741721Z RuntimeError: expected scalar type Half but found Float 2025-10-10T02:40:11.7741976Z 2025-10-10T02:40:11.7742185Z The above exception was the direct cause of the following exception: 2025-10-10T02:40:11.7742485Z 2025-10-10T02:40:11.7742602Z Traceback (most recent call last): 2025-10-10T02:40:11.7743051Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4191, in run 2025-10-10T02:40:11.7743508Z ) = runner.load_model( 2025-10-10T02:40:11.7743974Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 375, in load_model 2025-10-10T02:40:11.7744499Z self.validate_model(model, example_inputs) 2025-10-10T02:40:11.7745010Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1963, in validate_model 2025-10-10T02:40:11.7745540Z raise RuntimeError("Eager run failed") from e 2025-10-10T02:40:11.7745871Z RuntimeError: Eager run failed 2025-10-10T02:40:11.7746048Z 2025-10-10T02:40:11.7746147Z eager_fail_to_run 2025-10-10T02:40:13.9772191Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:40:13.9773438Z import pynvml # type: ignore[import] 2025-10-10T02:40:16.6118011Z 2025-10-10T02:40:19.1062130Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:40:19.1062973Z loading model: 0it [00:02, ?it/s] 2025-10-10T02:40:19.1063759Z cuda train resnext50_32x4d 2025-10-10T02:40:57.1098175Z W1010 02:40:57.108000 48207 site-packages/torch/_logging/_internal.py:1201] [6/0] Profiler function will be ignored 2025-10-10T02:41:32.4556378Z Compilation time (from dynamo_timed): 65.632194683 2025-10-10T02:41:32.4576246Z pass 2025-10-10T02:41:32.4697892Z TIMING: gc:0.00527 entire_frame_compile:54.31901 _recursive_pre_grad_passes:0.03101 pad_mm_benchmark:0.0405 _recursive_joint_graph_passes:0.52034 _recursive_post_grad_passes:0.46406 async_compile.wait:5.10611 code_gen:22.3278 inductor_compile:35.01137 backend_compile:40.44779 cudagraphify.get_container:0.00747 CachingAutotuner.benchmark_all_configs:1.20408 entire_backward_compile:11.31318 CUDAGraphNode.record:0.1412 total_wall_time:65.63219 2025-10-10T02:41:32.4700280Z STATS: call_* op count: 1003 | FakeTensorMode.__torch_dispatch__:25363 | FakeTensor.__torch_dispatch__:30653 | ProxyTorchDispatchMode.__torch_dispatch__:10766 2025-10-10T02:41:32.4701080Z Dynamo produced 3 graphs covering 1003 ops with 7 graph breaks (5 unique) 2025-10-10T02:41:37.0875833Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:41:37.0878164Z import pynvml # type: ignore[import] 2025-10-10T02:41:39.7320047Z 2025-10-10T02:41:47.5582061Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:41:47.5582412Z loading model: 0it [00:07, ?it/s] 2025-10-10T02:41:47.5582752Z cuda train sam 2025-10-10T02:41:47.5593611Z Traceback (most recent call last): 2025-10-10T02:41:47.5594648Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1961, in validate_model 2025-10-10T02:41:47.5595205Z self.model_iter_fn(model, example_inputs) 2025-10-10T02:41:47.5595807Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 467, in forward_and_backward_pass 2025-10-10T02:41:47.5596409Z self.grad_scaler.scale(loss).backward() 2025-10-10T02:41:47.5596935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 627, in backward 2025-10-10T02:41:47.5597455Z torch.autograd.backward( 2025-10-10T02:41:47.5597988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 356, in backward 2025-10-10T02:41:47.5598532Z _engine_run_backward( 2025-10-10T02:41:47.5599082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 849, in _engine_run_backward 2025-10-10T02:41:47.5599875Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-10-10T02:41:47.5600533Z RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn 2025-10-10T02:41:47.5600890Z 2025-10-10T02:41:47.5601094Z The above exception was the direct cause of the following exception: 2025-10-10T02:41:47.5601388Z 2025-10-10T02:41:47.5601509Z Traceback (most recent call last): 2025-10-10T02:41:47.5601973Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4191, in run 2025-10-10T02:41:47.5602610Z ) = runner.load_model( 2025-10-10T02:41:47.5603076Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 375, in load_model 2025-10-10T02:41:47.5603607Z self.validate_model(model, example_inputs) 2025-10-10T02:41:47.5604132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1963, in validate_model 2025-10-10T02:41:47.5604672Z raise RuntimeError("Eager run failed") from e 2025-10-10T02:41:47.5605004Z RuntimeError: Eager run failed 2025-10-10T02:41:47.5605189Z 2025-10-10T02:41:47.5605288Z eager_fail_to_run 2025-10-10T02:41:49.2219639Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:41:49.2220853Z import pynvml # type: ignore[import] 2025-10-10T02:41:51.8470619Z 2025-10-10T02:41:53.2621863Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:41:53.2622287Z loading model: 0it [00:01, ?it/s] 2025-10-10T02:41:53.2622673Z cuda train shufflenet_v2_x1_0 2025-10-10T02:42:40.7876020Z Compilation time (from dynamo_timed): 42.771784683999996 2025-10-10T02:42:40.7899177Z pass 2025-10-10T02:42:40.7914646Z TIMING: gc:0.00301 entire_frame_compile:23.59632 _recursive_pre_grad_passes:0.01013 pad_mm_benchmark:0.22011 _recursive_joint_graph_passes:0.63794 _recursive_post_grad_passes:0.44495 async_compile.wait:2.12481 code_gen:19.49063 inductor_compile:26.89363 backend_compile:17.18391 cudagraphify.get_container:0.00222 CachingAutotuner.benchmark_all_configs:2.0155 entire_backward_compile:19.17546 CUDAGraphNode.record:0.06784 total_wall_time:42.77178 2025-10-10T02:42:40.7917099Z STATS: call_* op count: 275 | FakeTensorMode.__torch_dispatch__:18964 | FakeTensor.__torch_dispatch__:16930 | ProxyTorchDispatchMode.__torch_dispatch__:7515 2025-10-10T02:42:40.7917888Z Dynamo produced 2 graphs covering 275 ops with 6 graph breaks (5 unique) 2025-10-10T02:42:44.8886895Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:42:44.8888872Z import pynvml # type: ignore[import] 2025-10-10T02:42:47.5509455Z 2025-10-10T02:42:48.5083024Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:42:48.5083802Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:42:48.5084122Z cuda train soft_actor_critic 2025-10-10T02:42:54.8687357Z W1010 02:42:54.867000 51788 site-packages/torch/_logging/_internal.py:1201] [6/0] Profiler function will be ignored 2025-10-10T02:42:56.6636265Z Compilation time (from dynamo_timed): 6.595889291 2025-10-10T02:42:56.6636638Z pass 2025-10-10T02:42:56.6641112Z TIMING: gc:0.00446 entire_frame_compile:5.77727 _recursive_pre_grad_passes:0.00909 pad_mm_benchmark:0.35498 _recursive_joint_graph_passes:0.72092 _recursive_post_grad_passes:0.06012 async_compile.precompile:0.90771 async_compile.wait:0.90961 code_gen:2.43212 inductor_compile:2.96897 backend_compile:4.88982 cudagraphify.get_container:0.00452 CachingAutotuner.benchmark_all_configs:0.28294 entire_backward_compile:0.81862 CUDAGraphNode.record:0.00701 total_wall_time:6.59589 2025-10-10T02:42:56.6643239Z STATS: call_* op count: 70 | FakeTensorMode.__torch_dispatch__:1751 | FakeTensor.__torch_dispatch__:1130 | ProxyTorchDispatchMode.__torch_dispatch__:497 2025-10-10T02:42:56.6644003Z Dynamo produced 4 graphs covering 70 ops with 6 graph breaks (5 unique) 2025-10-10T02:42:59.3909678Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:42:59.3911624Z import pynvml # type: ignore[import] 2025-10-10T02:43:02.0380012Z 2025-10-10T02:43:03.4315939Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:43:03.4316336Z loading model: 0it [00:01, ?it/s] 2025-10-10T02:43:03.4316648Z cuda train speech_transformer 2025-10-10T02:43:19.1566618Z W1010 02:43:19.155000 52185 site-packages/torch/_inductor/utils.py:2366] [9/0_1] DeviceCopy in input program 2025-10-10T02:43:20.5732312Z cudagraph partition due to non gpu ops 2025-10-10T02:43:20.5732723Z cudagraph partition due to non gpu ops 2025-10-10T02:43:20.5733042Z cudagraph partition due to non gpu ops 2025-10-10T02:43:20.5733359Z cudagraph partition due to non gpu ops 2025-10-10T02:43:20.5733677Z cudagraph partition due to non gpu ops 2025-10-10T02:43:20.5733983Z cudagraph partition due to non gpu ops 2025-10-10T02:43:20.5734304Z cudagraph partition due to non gpu ops 2025-10-10T02:43:20.5734742Z cudagraph partition due to DeviceCopy ops 2025-10-10T02:43:20.6203088Z cudagraph partition into 2 partitions 2025-10-10T02:43:44.0949784Z W1010 02:43:44.093000 52185 site-packages/torch/_inductor/utils.py:2366] [15/0_1] DeviceCopy in input program 2025-10-10T02:43:46.2209419Z cudagraph partition due to non gpu ops 2025-10-10T02:43:46.2209944Z cudagraph partition due to non gpu ops 2025-10-10T02:43:46.2210386Z cudagraph partition due to non gpu ops 2025-10-10T02:43:46.2211082Z cudagraph partition due to non gpu ops 2025-10-10T02:43:46.2211406Z cudagraph partition due to non gpu ops 2025-10-10T02:43:46.2211942Z cudagraph partition due to non gpu ops 2025-10-10T02:43:46.2212294Z cudagraph partition due to non gpu ops 2025-10-10T02:43:46.2212623Z cudagraph partition due to non gpu ops 2025-10-10T02:43:46.2212940Z cudagraph partition due to non gpu ops 2025-10-10T02:43:46.2213260Z cudagraph partition due to non gpu ops 2025-10-10T02:43:46.2213572Z cudagraph partition due to non gpu ops 2025-10-10T02:43:46.2213890Z cudagraph partition due to non gpu ops 2025-10-10T02:43:46.2214210Z cudagraph partition due to non gpu ops 2025-10-10T02:43:46.2214538Z cudagraph partition due to DeviceCopy ops 2025-10-10T02:43:46.2951437Z cudagraph partition into 2 partitions 2025-10-10T02:43:51.1051972Z W1010 02:43:51.104000 52185 site-packages/torch/_inductor/utils.py:2366] [15/0_1] DeviceCopy in input program 2025-10-10T02:43:54.5663774Z cudagraph partition due to non gpu ops 2025-10-10T02:43:54.5664214Z cudagraph partition due to non gpu ops 2025-10-10T02:43:54.5664640Z cudagraph partition due to non gpu ops 2025-10-10T02:43:54.5665428Z cudagraph partition due to non gpu ops 2025-10-10T02:43:54.5665742Z cudagraph partition due to non gpu ops 2025-10-10T02:43:54.5666046Z cudagraph partition due to non gpu ops 2025-10-10T02:43:54.5666345Z cudagraph partition due to non gpu ops 2025-10-10T02:43:54.5666648Z cudagraph partition due to non gpu ops 2025-10-10T02:43:54.5666962Z cudagraph partition due to non gpu ops 2025-10-10T02:43:54.5667265Z cudagraph partition due to non gpu ops 2025-10-10T02:43:54.5667568Z cudagraph partition due to non gpu ops 2025-10-10T02:43:54.5667863Z cudagraph partition due to non gpu ops 2025-10-10T02:43:54.5668172Z cudagraph partition due to non gpu ops 2025-10-10T02:43:54.5668722Z cudagraph partition due to DeviceCopy ops 2025-10-10T02:43:54.6907200Z cudagraph partition into 2 partitions 2025-10-10T02:43:57.9579457Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from File "/torchbench/torchbenchmark/models/speech_transformer/speech_transformer/transformer/decoder.py", line 126, in torch_dynamo_resume_in_forward_at_120 2025-10-10T02:43:57.9581411Z self.tgt_word_emb(ys_in_pad) * self.x_logit_scale 2025-10-10T02:43:57.9581760Z 2025-10-10T02:43:57.9581766Z 2025-10-10T02:48:58.9203152Z Run failed with return code: -11 2025-10-10T02:48:58.9203556Z Output: None 2025-10-10T02:48:58.9203822Z Error: None 2025-10-10T02:48:59.5847367Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:48:59.5848588Z import pynvml # type: ignore[import] 2025-10-10T02:49:02.2370473Z 2025-10-10T02:49:03.5694675Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:49:03.5695066Z loading model: 0it [00:01, ?it/s] 2025-10-10T02:49:03.5695386Z cuda train squeezenet1_1 2025-10-10T02:49:26.8677417Z Compilation time (from dynamo_timed): 20.006673046 2025-10-10T02:49:26.8682341Z pass 2025-10-10T02:49:26.8699931Z TIMING: gc:0.00259 entire_frame_compile:8.10356 _recursive_pre_grad_passes:0.00546 _recursive_joint_graph_passes:0.21182 _recursive_post_grad_passes:0.08811 async_compile.wait:1.85675 code_gen:13.66669 inductor_compile:15.22935 backend_compile:6.44776 cudagraphify.get_container:0.00221 CachingAutotuner.benchmark_all_configs:1.06868 entire_backward_compile:11.90312 CUDAGraphNode.record:0.01321 total_wall_time:20.00667 2025-10-10T02:49:26.8703439Z STATS: call_* op count: 70 | FakeTensorMode.__torch_dispatch__:4481 | FakeTensor.__torch_dispatch__:2297 | ProxyTorchDispatchMode.__torch_dispatch__:1295 2025-10-10T02:49:26.8704716Z Dynamo produced 2 graphs covering 70 ops with 6 graph breaks (5 unique) 2025-10-10T02:49:29.9326652Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:49:29.9328302Z import pynvml # type: ignore[import] 2025-10-10T02:49:32.5584591Z 2025-10-10T02:49:34.7159992Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:49:34.7160196Z 2025-10-10T02:49:34.9515051Z Loading pipeline components...: 0% 0/6 [00:00 will be ignored 2025-10-10T02:52:43.8673831Z Compilation time (from dynamo_timed): 112.11988949799999 2025-10-10T02:52:43.8710368Z pass 2025-10-10T02:52:43.9634969Z TIMING: gc:0.00551 entire_frame_compile:94.60599 _recursive_pre_grad_passes:0.05306 pad_mm_benchmark:0.36612 _recursive_joint_graph_passes:2.32994 _recursive_post_grad_passes:2.02358 async_compile.wait:3.06398 code_gen:37.02574 inductor_compile:63.32902 backend_compile:74.50828 cudagraphify.get_container:0.03688 CachingAutotuner.benchmark_all_configs:0.69293 entire_backward_compile:17.5139 CUDAGraphNode.record:0.04146 total_wall_time:112.11989 2025-10-10T02:52:43.9636987Z STATS: call_* op count: 1922 | FakeTensorMode.__torch_dispatch__:61786 | FakeTensor.__torch_dispatch__:56634 | ProxyTorchDispatchMode.__torch_dispatch__:19886 2025-10-10T02:52:43.9637816Z Dynamo produced 3 graphs covering 1922 ops with 7 graph breaks (5 unique) 2025-10-10T02:52:50.5934392Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:52:50.5935588Z import pynvml # type: ignore[import] 2025-10-10T02:52:53.2390050Z 2025-10-10T02:52:54.0563549Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:52:54.0563908Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:52:54.0564227Z cuda train tts_angular 2025-10-10T02:52:58.4809335Z W1010 02:52:58.479000 56053 site-packages/torch/_logging/_internal.py:1201] [10/0] Profiler function will be ignored 2025-10-10T02:53:02.9760118Z Compilation time (from dynamo_timed): 7.398610126 2025-10-10T02:53:02.9761060Z pass 2025-10-10T02:53:02.9836784Z TIMING: gc:0.00728 entire_frame_compile:7.01274 _recursive_pre_grad_passes:0.00866 _recursive_joint_graph_passes:0.19291 inductor_compile:3.84644 backend_compile:5.83773 _recursive_post_grad_passes:0.19838 async_compile.precompile:2.21194 async_compile.wait:0.00057 code_gen:3.01861 entire_backward_compile:0.38587 CachingAutotuner.benchmark_all_configs:0.01525 total_wall_time:7.39861 2025-10-10T02:53:02.9838586Z STATS: call_* op count: 102 | FakeTensorMode.__torch_dispatch__:1410 | ProxyTorchDispatchMode.__torch_dispatch__:440 | FakeTensor.__torch_dispatch__:1671 2025-10-10T02:53:02.9839374Z Dynamo produced 5 graphs covering 102 ops with 9 graph breaks (6 unique) 2025-10-10T02:53:05.6790627Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:53:05.6792354Z import pynvml # type: ignore[import] 2025-10-10T02:53:08.3149105Z 2025-10-10T02:53:11.4562295Z loading model: 0it [00:00, ?it/s] 2025-10-10T02:53:11.4562750Z loading model: 0it [00:03, ?it/s] 2025-10-10T02:53:11.4563119Z cuda train vgg16 2025-10-10T02:53:40.5728256Z Compilation time (from dynamo_timed): 12.235814007 2025-10-10T02:53:40.5729755Z pass 2025-10-10T02:53:40.5962336Z TIMING: gc:0.00351 entire_frame_compile:6.49545 _recursive_pre_grad_passes:0.00563 pad_mm_benchmark:0.58965 _recursive_joint_graph_passes:0.96841 _recursive_post_grad_passes:0.07935 async_compile.wait:0.72824 code_gen:6.65484 inductor_compile:7.75601 backend_compile:5.3817 cudagraphify.get_container:0.01099 CachingAutotuner.benchmark_all_configs:1.1413 entire_backward_compile:5.74036 CUDAGraphNode.record:0.00947 total_wall_time:12.23581 2025-10-10T02:53:40.5964367Z STATS: call_* op count: 44 | FakeTensorMode.__torch_dispatch__:3408 | FakeTensor.__torch_dispatch__:1382 | ProxyTorchDispatchMode.__torch_dispatch__:905 2025-10-10T02:53:40.5965140Z Dynamo produced 2 graphs covering 44 ops with 6 graph breaks (5 unique) 2025-10-10T02:53:43.5637484Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T02:53:43.5638888Z import pynvml # type: ignore[import] 2025-10-10T02:53:46.2239419Z 2025-10-10T02:54:15.0143810Z 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 2025-10-10T02:54:15.0145057Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-10-10T02:54:15.0145861Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-10-10T02:54:15.0146484Z v4 = masked_index(y_high, x_high) 2025-10-10T02:54:15.0147059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-10-10T02:54:15.0147613Z return input[ 2025-10-10T02:54:15.0147754Z 2025-10-10T02:54:15.0147758Z 2025-10-10T02:54:43.0708284Z 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 2025-10-10T02:54:43.0710101Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-10-10T02:54:43.0710930Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-10-10T02:54:43.0711905Z v4 = masked_index(y_high, x_high) 2025-10-10T02:54:43.0712490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-10-10T02:54:43.0713042Z return input[ 2025-10-10T02:54:43.0713182Z 2025-10-10T02:54:43.0713187Z 2025-10-10T02:55:09.0567043Z 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 2025-10-10T02:55:09.0568998Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-10-10T02:55:09.0569829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-10-10T02:55:09.0570449Z v4 = masked_index(y_high, x_high) 2025-10-10T02:55:09.0571055Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-10-10T02:55:09.0571608Z return input[ 2025-10-10T02:55:09.0572119Z 2025-10-10T02:55:09.0572125Z 2025-10-10T02:55:34.4484678Z 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 2025-10-10T02:55:34.4485824Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-10-10T02:55:34.4486616Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-10-10T02:55:34.4487237Z v4 = masked_index(y_high, x_high) 2025-10-10T02:55:34.4487804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-10-10T02:55:34.4488354Z return input[ 2025-10-10T02:55:34.4488545Z 2025-10-10T02:55:34.4488549Z 2025-10-10T02:56:00.8912884Z 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 2025-10-10T02:56:00.8915138Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-10-10T02:56:00.8916036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-10-10T02:56:00.8916698Z v4 = masked_index(y_high, x_high) 2025-10-10T02:56:00.8917480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-10-10T02:56:00.8918185Z return input[ 2025-10-10T02:56:00.8918376Z 2025-10-10T02:56:00.8918380Z 2025-10-10T02:56:26.1226746Z 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 2025-10-10T02:56:26.1227936Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-10-10T02:56:26.1228717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-10-10T02:56:26.1229329Z v4 = masked_index(y_high, x_high) 2025-10-10T02:56:26.1229885Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-10-10T02:56:26.1230434Z return input[ 2025-10-10T02:56:26.1230578Z 2025-10-10T02:56:26.1230582Z 2025-10-10T02:57:04.0162820Z 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 2025-10-10T02:57:04.0164346Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-10-10T02:57:04.0165150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-10-10T02:57:04.0165763Z v4 = masked_index(y_high, x_high) 2025-10-10T02:57:04.0166335Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-10-10T02:57:04.0166892Z return input[ 2025-10-10T02:57:04.0167035Z 2025-10-10T02:57:04.0167040Z 2025-10-10T02:57:14.5205510Z 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 2025-10-10T02:57:14.5206649Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-10-10T02:57:14.5207443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-10-10T02:57:14.5208097Z v4 = masked_index(y_high, x_high) 2025-10-10T02:57:14.5208997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-10-10T02:57:14.5209563Z return input[ 2025-10-10T02:57:14.5209707Z 2025-10-10T02:57:14.5209711Z 2025-10-10T02:57:16.5525194Z 2025-10-10T02:57:16.5525636Z loading model: 0it [03:30, ?it/s] 2025-10-10T02:57:17.4597111Z cuda train vision_maskrcnn 2025-10-10T02:57:17.4597961Z W1010 02:57:17.458000 57119 site-packages/torch/_dynamo/convert_frame.py:1504] [0/8] torch._dynamo hit config.recompile_limit (8) 2025-10-10T02:57:17.4599040Z W1010 02:57:17.458000 57119 site-packages/torch/_dynamo/convert_frame.py:1504] [0/8] function: '_roi_align' (/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py:114) 2025-10-10T02:57:17.4600187Z W1010 02:57:17.458000 57119 site-packages/torch/_dynamo/convert_frame.py:1504] [0/8] last reason: 0/7: tensor 'rois' dtype mismatch. expected Float, actual Double 2025-10-10T02:57:17.4601225Z W1010 02:57:17.458000 57119 site-packages/torch/_dynamo/convert_frame.py:1504] [0/8] To log all recompilation reasons, use TORCH_LOGS="recompiles". 2025-10-10T02:57:17.4602598Z W1010 02:57:17.458000 57119 site-packages/torch/_dynamo/convert_frame.py:1504] [0/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html 2025-10-10T02:57:52.3475923Z W1010 02:57:52.346000 57119 site-packages/torch/_inductor/utils.py:2366] [4/0_1] DeviceCopy in input program 2025-10-10T02:57:52.3483150Z W1010 02:57:52.347000 57119 site-packages/torch/_inductor/utils.py:2366] [4/0_1] DeviceCopy in input program 2025-10-10T02:57:52.3492394Z W1010 02:57:52.348000 57119 site-packages/torch/_inductor/utils.py:2366] [4/0_1] DeviceCopy in input program 2025-10-10T02:57:52.3501566Z W1010 02:57:52.349000 57119 site-packages/torch/_inductor/utils.py:2366] [4/0_1] DeviceCopy in input program 2025-10-10T02:57:52.3516553Z W1010 02:57:52.351000 57119 site-packages/torch/_inductor/utils.py:2366] [4/0_1] DeviceCopy in input program 2025-10-10T02:57:53.0259481Z cudagraph partition due to DeviceCopy ops. Found from : 2025-10-10T02:57:53.0260237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-10-10T02:57:53.0260884Z anchors = self.anchor_generator(images, features) 2025-10-10T02:57:53.0261552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward 2025-10-10T02:57:53.0262221Z cell_anchors = self.set_cell_anchors(dtype, device) 2025-10-10T02:57:53.0262923Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-10-10T02:57:53.0263739Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-10-10T02:57:53.0264800Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-10-10T02:57:53.0265576Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-10-10T02:57:53.0265939Z 2025-10-10T02:57:53.0266113Z cudagraph partition due to DeviceCopy ops. Found from : 2025-10-10T02:57:53.0266763Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-10-10T02:57:53.0267411Z anchors = self.anchor_generator(images, features) 2025-10-10T02:57:53.0268072Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward 2025-10-10T02:57:53.0268731Z cell_anchors = self.set_cell_anchors(dtype, device) 2025-10-10T02:57:53.0269417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-10-10T02:57:53.0270229Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-10-10T02:57:53.0271180Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-10-10T02:57:53.0271961Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-10-10T02:57:53.0272316Z 2025-10-10T02:57:53.0272496Z cudagraph partition due to DeviceCopy ops. Found from : 2025-10-10T02:57:53.0273136Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-10-10T02:57:53.0273761Z anchors = self.anchor_generator(images, features) 2025-10-10T02:57:53.0274419Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward 2025-10-10T02:57:53.0275161Z cell_anchors = self.set_cell_anchors(dtype, device) 2025-10-10T02:57:53.0275857Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-10-10T02:57:53.0276656Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-10-10T02:57:53.0277437Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-10-10T02:57:53.0278221Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-10-10T02:57:53.0278573Z 2025-10-10T02:57:53.0278751Z cudagraph partition due to DeviceCopy ops. Found from : 2025-10-10T02:57:53.0279390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-10-10T02:57:53.0280012Z anchors = self.anchor_generator(images, features) 2025-10-10T02:57:53.0280667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward 2025-10-10T02:57:53.0281332Z cell_anchors = self.set_cell_anchors(dtype, device) 2025-10-10T02:57:53.0282026Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-10-10T02:57:53.0282828Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-10-10T02:57:53.0283602Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-10-10T02:57:53.0284382Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-10-10T02:57:53.0284739Z 2025-10-10T02:57:53.0284910Z cudagraph partition due to DeviceCopy ops. Found from : 2025-10-10T02:57:53.0285554Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward 2025-10-10T02:57:53.0286180Z anchors = self.anchor_generator(images, features) 2025-10-10T02:57:53.0286932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward 2025-10-10T02:57:53.0287590Z cell_anchors = self.set_cell_anchors(dtype, device) 2025-10-10T02:57:53.0288283Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors 2025-10-10T02:57:53.0289086Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-10-10T02:57:53.0289870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in 2025-10-10T02:57:53.0290645Z return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors] 2025-10-10T02:57:53.0291005Z 2025-10-10T02:57:53.0481534Z cudagraph partition into 2 partitions 2025-10-10T02:57:56.2941933Z W1010 02:57:56.293000 57119 site-packages/torch/_dynamo/variables/tensor.py:1045] [17/0] Graph break from `Tensor.item()`, consider setting: 2025-10-10T02:57:56.2943380Z W1010 02:57:56.293000 57119 site-packages/torch/_dynamo/variables/tensor.py:1045] [17/0] torch._dynamo.config.capture_scalar_outputs = True 2025-10-10T02:57:56.2944161Z W1010 02:57:56.293000 57119 site-packages/torch/_dynamo/variables/tensor.py:1045] [17/0] or: 2025-10-10T02:57:56.2944902Z W1010 02:57:56.293000 57119 site-packages/torch/_dynamo/variables/tensor.py:1045] [17/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-10-10T02:57:56.2945793Z W1010 02:57:56.293000 57119 site-packages/torch/_dynamo/variables/tensor.py:1045] [17/0] to include these operations in the captured graph. 2025-10-10T02:57:56.2946545Z W1010 02:57:56.293000 57119 site-packages/torch/_dynamo/variables/tensor.py:1045] [17/0] 2025-10-10T02:57:56.2947237Z W1010 02:57:56.293000 57119 site-packages/torch/_dynamo/variables/tensor.py:1045] [17/0] Graph break: from user code at: 2025-10-10T02:57:56.2948537Z W1010 02:57:56.293000 57119 site-packages/torch/_dynamo/variables/tensor.py:1045] [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 2025-10-10T02:57:56.2950108Z W1010 02:57:56.293000 57119 site-packages/torch/_dynamo/variables/tensor.py:1045] [17/0] detections, detector_losses = self.roi_heads(features, proposals, images.image_sizes, targets) 2025-10-10T02:57:56.2951443Z W1010 02:57:56.293000 57119 site-packages/torch/_dynamo/variables/tensor.py:1045] [17/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 763, in forward 2025-10-10T02:57:56.2952687Z W1010 02:57:56.293000 57119 site-packages/torch/_dynamo/variables/tensor.py:1045] [17/0] box_features = self.box_roi_pool(features, proposals, image_shapes) 2025-10-10T02:57:56.2953860Z W1010 02:57:56.293000 57119 site-packages/torch/_dynamo/variables/tensor.py:1045] [17/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 310, in forward 2025-10-10T02:57:56.2955061Z W1010 02:57:56.293000 57119 site-packages/torch/_dynamo/variables/tensor.py:1045] [17/0] self.scales, self.map_levels = _setup_scales( 2025-10-10T02:57:56.2956189Z W1010 02:57:56.293000 57119 site-packages/torch/_dynamo/variables/tensor.py:1045] [17/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 122, in _setup_scales 2025-10-10T02:57:56.2957399Z W1010 02:57:56.293000 57119 site-packages/torch/_dynamo/variables/tensor.py:1045] [17/0] scales = [_infer_scale(feat, original_input_shape) for feat in features] 2025-10-10T02:57:56.2958593Z W1010 02:57:56.293000 57119 site-packages/torch/_dynamo/variables/tensor.py:1045] [17/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 122, in 2025-10-10T02:57:56.2959782Z W1010 02:57:56.293000 57119 site-packages/torch/_dynamo/variables/tensor.py:1045] [17/0] scales = [_infer_scale(feat, original_input_shape) for feat in features] 2025-10-10T02:57:56.2961214Z W1010 02:57:56.293000 57119 site-packages/torch/_dynamo/variables/tensor.py:1045] [17/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 104, in _infer_scale 2025-10-10T02:57:56.2962377Z W1010 02:57:56.293000 57119 site-packages/torch/_dynamo/variables/tensor.py:1045] [17/0] scale = 2 ** float(torch.tensor(approx_scale).log2().round()) 2025-10-10T02:57:56.2963158Z W1010 02:57:56.293000 57119 site-packages/torch/_dynamo/variables/tensor.py:1045] [17/0] 2025-10-10T02:57:56.2963737Z W1010 02:57:56.293000 57119 site-packages/torch/_dynamo/variables/tensor.py:1045] [17/0] 2025-10-10T02:58:11.6774386Z 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 2025-10-10T02:58:11.6775851Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-10-10T02:58:11.6777054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 264, in getattr_and_trace 2025-10-10T02:58:11.6777735Z return fn(*args[2:], **kwargs) 2025-10-10T02:58:11.6778363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-10-10T02:58:11.6779178Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-10-10T02:58:11.6780036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-10-10T02:58:11.6780709Z v4 = masked_index(y_high, x_high) 2025-10-10T02:58:11.6781275Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-10-10T02:58:11.6781826Z return input[ 2025-10-10T02:58:11.6781964Z 2025-10-10T02:58:11.6781969Z 2025-10-10T02:58:26.0584915Z 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 2025-10-10T02:58:26.0587261Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-10-10T02:58:26.0588754Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 264, in getattr_and_trace 2025-10-10T02:58:26.0589513Z return fn(*args[2:], **kwargs) 2025-10-10T02:58:26.0590070Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-10-10T02:58:26.0590809Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-10-10T02:58:26.0591604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-10-10T02:58:26.0592227Z v4 = masked_index(y_high, x_high) 2025-10-10T02:58:26.0592792Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-10-10T02:58:26.0593338Z return input[ 2025-10-10T02:58:26.0593487Z 2025-10-10T02:58:26.0593491Z 2025-10-10T02:58:36.9163862Z 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 2025-10-10T02:58:36.9165126Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-10-10T02:58:36.9165939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 264, in getattr_and_trace 2025-10-10T02:58:36.9166866Z return fn(*args[2:], **kwargs) 2025-10-10T02:58:36.9167429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-10-10T02:58:36.9168163Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-10-10T02:58:36.9168950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-10-10T02:58:36.9169559Z v4 = masked_index(y_high, x_high) 2025-10-10T02:58:36.9170121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-10-10T02:58:36.9170674Z return input[ 2025-10-10T02:58:36.9170814Z 2025-10-10T02:58:36.9170818Z 2025-10-10T02:59:36.3196256Z W1010 02:59:36.318000 57119 site-packages/torch/fx/experimental/symbolic_shapes.py:2431] [30/4] RecursionError in sympy.xreplace(Eq(Mod(2*s29, s93), 0), {s29: evaluate_static_shape_0 + 1, s93: evaluate_static_shape_1 + 1}) 2025-10-10T02:59:37.7996369Z 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 2025-10-10T02:59:37.7997675Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-10-10T02:59:37.7998509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 264, in getattr_and_trace 2025-10-10T02:59:37.7999123Z return fn(*args[2:], **kwargs) 2025-10-10T02:59:37.7999703Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-10-10T02:59:37.8000439Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-10-10T02:59:37.8001217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-10-10T02:59:37.8001844Z v4 = masked_index(y_high, x_high) 2025-10-10T02:59:37.8002711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-10-10T02:59:37.8003457Z return input[ 2025-10-10T02:59:37.8003640Z 2025-10-10T02:59:37.8003645Z 2025-10-10T02:59:55.7068912Z 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 2025-10-10T02:59:55.7070236Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-10-10T02:59:55.7071047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 264, in getattr_and_trace 2025-10-10T02:59:55.7071700Z return fn(*args[2:], **kwargs) 2025-10-10T02:59:55.7072248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-10-10T02:59:55.7072977Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-10-10T02:59:55.7073796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-10-10T02:59:55.7074404Z v4 = masked_index(y_high, x_high) 2025-10-10T02:59:55.7075050Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-10-10T02:59:55.7075588Z return input[ 2025-10-10T02:59:55.7075732Z 2025-10-10T02:59:55.7075737Z 2025-10-10T03:00:20.4769676Z 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 2025-10-10T03:00:20.4771355Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-10-10T03:00:20.4772191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 264, in getattr_and_trace 2025-10-10T03:00:20.4772805Z return fn(*args[2:], **kwargs) 2025-10-10T03:00:20.4774001Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-10-10T03:00:20.4775182Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-10-10T03:00:20.4776394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-10-10T03:00:20.4777307Z v4 = masked_index(y_high, x_high) 2025-10-10T03:00:20.4777882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-10-10T03:00:20.4778452Z return input[ 2025-10-10T03:00:20.4778594Z 2025-10-10T03:00:20.4778598Z 2025-10-10T03:00:27.3793630Z 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 2025-10-10T03:00:27.3795030Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-10-10T03:00:27.3795866Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 264, in getattr_and_trace 2025-10-10T03:00:27.3796487Z return fn(*args[2:], **kwargs) 2025-10-10T03:00:27.3797037Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-10-10T03:00:27.3797766Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-10-10T03:00:27.3798560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-10-10T03:00:27.3799185Z v4 = masked_index(y_high, x_high) 2025-10-10T03:00:27.3799748Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-10-10T03:00:27.3800299Z return input[ 2025-10-10T03:00:27.3800442Z 2025-10-10T03:00:27.3800446Z 2025-10-10T03:00:37.0966138Z 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 2025-10-10T03:00:37.0967426Z mask = F.interpolate(mask, size=(h, w), mode="bilinear", align_corners=False) 2025-10-10T03:00:37.0967753Z 2025-10-10T03:00:37.0967758Z 2025-10-10T03:00:39.2700154Z 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 2025-10-10T03:00:39.2701456Z mask = F.interpolate(mask, size=(h, w), mode="bilinear", align_corners=False) 2025-10-10T03:00:39.2701779Z 2025-10-10T03:00:39.2701783Z 2025-10-10T03:00:40.4914338Z 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 2025-10-10T03:00:40.4915631Z masks_probs = maskrcnn_inference(mask_logits, labels) 2025-10-10T03:00:40.4916395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 79, in maskrcnn_inference 2025-10-10T03:00:40.4917079Z mask_prob = mask_prob[index, labels][:, None] 2025-10-10T03:00:40.4917698Z 2025-10-10T03:00:40.4917709Z 2025-10-10T03:00:44.0470434Z 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 2025-10-10T03:00:44.0471738Z return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned) 2025-10-10T03:00:44.0472571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 264, in getattr_and_trace 2025-10-10T03:00:44.0473193Z return fn(*args[2:], **kwargs) 2025-10-10T03:00:44.0473743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align 2025-10-10T03:00:44.0474611Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-10-10T03:00:44.0475391Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-10-10T03:00:44.0476019Z v4 = masked_index(y_high, x_high) 2025-10-10T03:00:44.0476945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-10-10T03:00:44.0477510Z return input[ 2025-10-10T03:00:44.0477658Z 2025-10-10T03:00:44.0477662Z 2025-10-10T03:00:48.4620663Z 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 2025-10-10T03:00:48.4621828Z features = self.backbone(images.tensors) 2025-10-10T03:00:48.4622487Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/backbone_utils.py", line 58, in forward 2025-10-10T03:00:48.4623111Z x = self.fpn(x) 2025-10-10T03:00:48.4623661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/feature_pyramid_network.py", line 194, in forward 2025-10-10T03:00:48.4624433Z inner_top_down = F.interpolate(last_inner, size=feat_shape, mode="nearest") 2025-10-10T03:00:48.4624752Z 2025-10-10T03:00:48.4624757Z 2025-10-10T03:00:49.8132841Z W1010 03:00:49.812000 57119 site-packages/torch/_dynamo/convert_frame.py:1504] [30/8] torch._dynamo hit config.recompile_limit (8) 2025-10-10T03:00:49.8134015Z W1010 03:00:49.812000 57119 site-packages/torch/_dynamo/convert_frame.py:1504] [30/8] function: 'torch_dynamo_resume_in_roi_align_at_255' (/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py:255) 2025-10-10T03:00:49.8135267Z W1010 03:00:49.812000 57119 site-packages/torch/_dynamo/convert_frame.py:1504] [30/8] last reason: 30/7: tensor 'rois' requires_grad mismatch. expected requires_grad=1 2025-10-10T03:00:49.8136269Z W1010 03:00:49.812000 57119 site-packages/torch/_dynamo/convert_frame.py:1504] [30/8] To log all recompilation reasons, use TORCH_LOGS="recompiles". 2025-10-10T03:00:49.8137398Z W1010 03:00:49.812000 57119 site-packages/torch/_dynamo/convert_frame.py:1504] [30/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html 2025-10-10T03:00:59.6785788Z 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 2025-10-10T03:00:59.6786887Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-10-10T03:00:59.6787668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-10-10T03:00:59.6788282Z v4 = masked_index(y_high, x_high) 2025-10-10T03:00:59.6788846Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-10-10T03:00:59.6789689Z return input[ 2025-10-10T03:00:59.6789829Z 2025-10-10T03:00:59.6789833Z 2025-10-10T03:01:34.0281110Z 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 2025-10-10T03:01:34.0282226Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-10-10T03:01:34.0283013Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-10-10T03:01:34.0283629Z v4 = masked_index(y_high, x_high) 2025-10-10T03:01:34.0284199Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-10-10T03:01:34.0284753Z return input[ 2025-10-10T03:01:34.0284894Z 2025-10-10T03:01:34.0284899Z 2025-10-10T03:02:02.4140286Z 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 2025-10-10T03:02:02.4141427Z val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX] 2025-10-10T03:02:02.4142211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate 2025-10-10T03:02:02.4142824Z v4 = masked_index(y_high, x_high) 2025-10-10T03:02:02.4143388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index 2025-10-10T03:02:02.4143947Z return input[ 2025-10-10T03:02:02.4144087Z 2025-10-10T03:02:02.4144092Z 2025-10-10T03:02:04.2703310Z Compilation time (from dynamo_timed): 273.730983317 2025-10-10T03:02:04.2733775Z pass 2025-10-10T03:02:04.3431024Z TIMING: gc:0.05096 entire_frame_compile:265.5759 _recursive_pre_grad_passes:0.04241 _recursive_joint_graph_passes:2.12473 inductor_compile:106.71347 backend_compile:170.96941 _recursive_post_grad_passes:1.46004 async_compile.wait:7.90731 code_gen:44.47967 cudagraphify.get_container:0.02429 CachingAutotuner.benchmark_all_configs:5.63514 pad_mm_benchmark:0.40848 entire_backward_compile:8.15509 CUDAGraphNode.record:0.0499 total_wall_time:273.73098 2025-10-10T03:02:04.3433565Z STATS: call_* op count: 3588 | FakeTensor.__torch_dispatch__:45328 | FakeTensorMode.__torch_dispatch__:84060 | attempt fast:2042 | slow no contiguity match:201 | fast is_contiguous:1458 | slow both tensors nontrivially broadcast:383 | ProxyTorchDispatchMode.__torch_dispatch__:17038 2025-10-10T03:02:04.3434862Z Dynamo produced 41 graphs covering 1604 ops with 39 graph breaks (9 unique) 2025-10-10T03:02:24.6777154Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: 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. 2025-10-10T03:02:24.6779587Z import pynvml # type: ignore[import] 2025-10-10T03:02:27.3195854Z 2025-10-10T03:02:30.5337797Z loading model: 0it [00:00, ?it/s] 2025-10-10T03:02:30.5338142Z loading model: 0it [00:03, ?it/s] 2025-10-10T03:02:30.5338448Z cuda train yolov3 2025-10-10T03:03:18.1214099Z cudagraph partition due to non gpu ops. Found from : 2025-10-10T03:03:18.1214929Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 465, in torch_dynamo_resume_in_forward_and_backward_pass_at_460 2025-10-10T03:03:18.1215620Z pred = mod(*cloned_inputs) 2025-10-10T03:03:18.1216085Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-10-10T03:03:18.1216576Z return self.forward_once(x) 2025-10-10T03:03:18.1217046Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once 2025-10-10T03:03:18.1217558Z yolo_out.append(module(x, out)) 2025-10-10T03:03:18.1218368Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward 2025-10-10T03:03:18.1218903Z self.grid = self.create_grids((nx, ny), p.device) 2025-10-10T03:03:18.1219429Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids 2025-10-10T03:03:18.1219966Z self.ng = torch.tensor(ng, dtype=torch.float) 2025-10-10T03:03:18.1220213Z 2025-10-10T03:03:18.1220376Z cudagraph partition due to non gpu ops. Found from : 2025-10-10T03:03:18.1221101Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 465, in torch_dynamo_resume_in_forward_and_backward_pass_at_460 2025-10-10T03:03:18.1221776Z pred = mod(*cloned_inputs) 2025-10-10T03:03:18.1222223Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-10-10T03:03:18.1222702Z return self.forward_once(x) 2025-10-10T03:03:18.1223174Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once 2025-10-10T03:03:18.1223687Z yolo_out.append(module(x, out)) 2025-10-10T03:03:18.1224320Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward 2025-10-10T03:03:18.1224845Z self.grid = self.create_grids((nx, ny), p.device) 2025-10-10T03:03:18.1225372Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids 2025-10-10T03:03:18.1225905Z self.ng = torch.tensor(ng, dtype=torch.float) 2025-10-10T03:03:18.1226139Z 2025-10-10T03:03:18.1226305Z cudagraph partition due to non gpu ops. Found from : 2025-10-10T03:03:18.1227017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 465, in torch_dynamo_resume_in_forward_and_backward_pass_at_460 2025-10-10T03:03:18.1227689Z pred = mod(*cloned_inputs) 2025-10-10T03:03:18.1228141Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-10-10T03:03:18.1228620Z return self.forward_once(x) 2025-10-10T03:03:18.1229100Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 372, in forward_once 2025-10-10T03:03:18.1229643Z yolo_out.append(module(x, out)) 2025-10-10T03:03:18.1230113Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 246, in forward 2025-10-10T03:03:18.1230630Z self.grid = self.create_grids((nx, ny), p.device) 2025-10-10T03:03:18.1231155Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 199, in create_grids 2025-10-10T03:03:18.1231679Z self.ng = torch.tensor(ng, dtype=torch.float) 2025-10-10T03:03:18.1231918Z 2025-10-10T03:03:18.4040322Z cudagraph partition into 2 partitions 2025-10-10T03:04:05.2948726Z 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 465, in torch_dynamo_resume_in_forward_and_backward_pass_at_460 2025-10-10T03:04:05.2949833Z pred = mod(*cloned_inputs) 2025-10-10T03:04:05.2950342Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-10-10T03:04:05.2950824Z return self.forward_once(x) 2025-10-10T03:04:05.2951313Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 374, in forward_once 2025-10-10T03:04:05.2951800Z x = module(x) 2025-10-10T03:04:05.2951941Z 2025-10-10T03:04:05.2951946Z 2025-10-10T03:04:08.2067226Z W1010 03:04:08.205000 62174 site-packages/torch/_logging/_internal.py:1201] [6/0] Profiler function will be ignored 2025-10-10T03:05:08.0575030Z 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 465, in torch_dynamo_resume_in_forward_and_backward_pass_at_460 2025-10-10T03:05:08.0578385Z pred = mod(*cloned_inputs) 2025-10-10T03:05:08.0579286Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 309, in forward 2025-10-10T03:05:08.0580294Z return self.forward_once(x) 2025-10-10T03:05:08.0580787Z File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 374, in forward_once 2025-10-10T03:05:08.0581275Z x = module(x) 2025-10-10T03:05:08.0581415Z 2025-10-10T03:05:08.0581420Z 2025-10-10T03:05:10.2433666Z Compilation time (from dynamo_timed): 140.24930481500002 2025-10-10T03:05:10.2481790Z pass 2025-10-10T03:05:10.2873239Z TIMING: gc:0.00815 entire_frame_compile:105.25503 _recursive_pre_grad_passes:0.04926 _recursive_joint_graph_passes:0.72895 _recursive_post_grad_passes:1.01157 async_compile.wait:5.53927 code_gen:56.65581 inductor_compile:81.19866 backend_compile:74.29054 cudagraphify.get_container:0.02517 CachingAutotuner.benchmark_all_configs:2.71149 entire_backward_compile:34.99427 CUDAGraphNode.record:0.00978 total_wall_time:140.2493 2025-10-10T03:05:10.2875274Z STATS: call_* op count: 1826 | FakeTensorMode.__torch_dispatch__:44898 | FakeTensor.__torch_dispatch__:55915 | ProxyTorchDispatchMode.__torch_dispatch__:16653 2025-10-10T03:05:10.2876102Z Dynamo produced 4 graphs covering 1826 ops with 8 graph breaks (5 unique) 2025-10-10T03:05:15.8677138Z accuracy pass_rate=78.12% 2025-10-10T03:05:15.8680927Z calls_captured gmean=0.00x mean=498.594x 2025-10-10T03:05:15.8684131Z unique_graphs gmean=0.00x mean=3.656x 2025-10-10T03:05:15.8687795Z graph_breaks gmean=0.00x mean=6.625x 2025-10-10T03:05:15.8692166Z unique_graph_breaks gmean=0.00x mean=4.375x 2025-10-10T03:05:15.8696211Z autograd_captures gmean=0.00x mean=0.000x 2025-10-10T03:05:15.8700346Z autograd_compiles gmean=0.00x mean=0.000x 2025-10-10T03:05:15.8704590Z cudagraph_skips gmean=0.00x mean=0.438x 2025-10-10T03:05:15.8705744Z compilation_latency mean=44.057 seconds 2025-10-10T03:05:16.6024193Z + python benchmarks/dynamo/check_accuracy.py --actual /var/lib/jenkins/workspace/test/test-reports/training_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_training.csv 2025-10-10T03:05:16.9438868Z llava XFAIL 2025-10-10T03:05:16.9443252Z maml_omniglot PASS 2025-10-10T03:05:16.9447551Z microbench_unbacked_tolist_sum PASS 2025-10-10T03:05:16.9452067Z mnasnet1_0 PASS 2025-10-10T03:05:16.9456684Z mobilenet_v2 PASS 2025-10-10T03:05:16.9461496Z mobilenet_v2_quantized_qat XFAIL 2025-10-10T03:05:16.9466056Z mobilenet_v3_large PASS 2025-10-10T03:05:16.9470664Z moco PASS 2025-10-10T03:05:16.9475522Z nanogpt PASS 2025-10-10T03:05:16.9480362Z nvidia_deeprecommender PASS 2025-10-10T03:05:16.9484878Z opacus_cifar10 XFAIL 2025-10-10T03:05:16.9489531Z phlippe_densenet PASS 2025-10-10T03:05:16.9494134Z phlippe_resnet PASS 2025-10-10T03:05:16.9498673Z pytorch_CycleGAN_and_pix2pix PASS 2025-10-10T03:05:16.9503560Z pytorch_stargan PASS 2025-10-10T03:05:16.9508061Z pytorch_unet XFAIL 2025-10-10T03:05:16.9512633Z resnet152 PASS 2025-10-10T03:05:16.9517506Z resnet18 PASS 2025-10-10T03:05:16.9522018Z resnet50 PASS 2025-10-10T03:05:16.9526622Z resnet50_quantized_qat XFAIL 2025-10-10T03:05:16.9531135Z resnext50_32x4d PASS 2025-10-10T03:05:16.9535633Z sam XFAIL 2025-10-10T03:05:16.9540270Z shufflenet_v2_x1_0 PASS 2025-10-10T03:05:16.9544876Z soft_actor_critic PASS 2025-10-10T03:05:16.9549219Z squeezenet1_1 PASS 2025-10-10T03:05:16.9553815Z stable_diffusion_text_encoder PASS 2025-10-10T03:05:16.9558561Z stable_diffusion_unet XFAIL 2025-10-10T03:05:16.9563153Z torch_multimodal_clip PASS 2025-10-10T03:05:16.9567490Z tts_angular PASS 2025-10-10T03:05:16.9572220Z vgg16 PASS 2025-10-10T03:05:16.9576702Z vision_maskrcnn PASS 2025-10-10T03:05:16.9581306Z yolov3 PASS 2025-10-10T03:05:17.0110226Z + python benchmarks/dynamo/check_graph_breaks.py --actual /var/lib/jenkins/workspace/test/test-reports/training_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_training.csv 2025-10-10T03:05:17.3520083Z llava PASS 2025-10-10T03:05:17.3523965Z maml_omniglot PASS 2025-10-10T03:05:17.3528987Z microbench_unbacked_tolist_sum PASS 2025-10-10T03:05:17.3533813Z mnasnet1_0 PASS 2025-10-10T03:05:17.3538747Z mobilenet_v2 PASS 2025-10-10T03:05:17.3543628Z mobilenet_v2_quantized_qat PASS 2025-10-10T03:05:17.3548367Z mobilenet_v3_large PASS 2025-10-10T03:05:17.3553060Z moco PASS 2025-10-10T03:05:17.3557934Z nanogpt PASS 2025-10-10T03:05:17.3562631Z nvidia_deeprecommender PASS 2025-10-10T03:05:17.3567280Z opacus_cifar10 PASS 2025-10-10T03:05:17.3572227Z phlippe_densenet PASS 2025-10-10T03:05:17.3576600Z phlippe_resnet PASS 2025-10-10T03:05:17.3581380Z pytorch_CycleGAN_and_pix2pix PASS 2025-10-10T03:05:17.3585978Z pytorch_stargan PASS 2025-10-10T03:05:17.3590729Z pytorch_unet PASS 2025-10-10T03:05:17.3595425Z resnet152 PASS 2025-10-10T03:05:17.3600318Z resnet18 PASS 2025-10-10T03:05:17.3605064Z resnet50 PASS 2025-10-10T03:05:17.3610460Z resnet50_quantized_qat PASS 2025-10-10T03:05:17.3615125Z resnext50_32x4d PASS 2025-10-10T03:05:17.3619621Z sam PASS 2025-10-10T03:05:17.3624408Z shufflenet_v2_x1_0 PASS 2025-10-10T03:05:17.3629034Z soft_actor_critic PASS 2025-10-10T03:05:17.3633741Z squeezenet1_1 PASS 2025-10-10T03:05:17.3638648Z stable_diffusion_text_encoder PASS 2025-10-10T03:05:17.3643276Z stable_diffusion_unet PASS 2025-10-10T03:05:17.3647879Z torch_multimodal_clip PASS 2025-10-10T03:05:17.3652500Z tts_angular PASS 2025-10-10T03:05:17.3657186Z vgg16 PASS 2025-10-10T03:05:17.3661809Z vision_maskrcnn PASS 2025-10-10T03:05:17.3666530Z yolov3 PASS_BUT_FLAKY 2025-10-10T03:05:17.4289233Z + sccache_epilogue 2025-10-10T03:05:17.4294494Z + echo '::group::Sccache Compilation Log' 2025-10-10T03:05:17.4295128Z ##[group]Sccache Compilation Log 2025-10-10T03:05:17.4295473Z + echo '=================== sccache compilation log ===================' 2025-10-10T03:05:17.4295878Z =================== sccache compilation log =================== 2025-10-10T03:05:17.4301393Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-10-10T03:05:17.4837327Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-10-10T03:05:17.4837979Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-10-10T03:05:17.4838441Z + sccache --show-stats 2025-10-10T03:05:17.4905871Z Compile requests 87 2025-10-10T03:05:17.4906209Z Compile requests executed 0 2025-10-10T03:05:17.4906512Z Cache hits 0 2025-10-10T03:05:17.4906805Z Cache misses 0 2025-10-10T03:05:17.4907098Z Cache hits rate - 2025-10-10T03:05:17.4907396Z Cache timeouts 0 2025-10-10T03:05:17.4907691Z Cache read errors 0 2025-10-10T03:05:17.4907986Z Forced recaches 0 2025-10-10T03:05:17.4908276Z Cache write errors 0 2025-10-10T03:05:17.4909425Z Cache errors 0 2025-10-10T03:05:17.4909803Z Compilations 0 2025-10-10T03:05:17.4910238Z Compilation failures 0 2025-10-10T03:05:17.4910683Z Non-cacheable compilations 0 2025-10-10T03:05:17.4911034Z Non-cacheable calls 6 2025-10-10T03:05:17.4911463Z Non-compilation calls 81 2025-10-10T03:05:17.4911916Z Unsupported compiler calls 0 2025-10-10T03:05:17.4912224Z Average cache write 0.000 s 2025-10-10T03:05:17.4912529Z Average compiler 0.000 s 2025-10-10T03:05:17.4912828Z Average cache read hit 0.000 s 2025-10-10T03:05:17.4913133Z Failed distributed compilations 0 2025-10-10T03:05:17.4913333Z 2025-10-10T03:05:17.4913430Z Non-cacheable reasons: 2025-10-10T03:05:17.4913679Z -E 6 2025-10-10T03:05:17.4913874Z 2025-10-10T03:05:17.4914095Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-10-10T03:05:17.4914614Z Version (client) 0.10.0 2025-10-10T03:05:17.4915093Z + sccache --stop-server 2025-10-10T03:05:17.4934859Z Stopping sccache server... 2025-10-10T03:05:17.4938082Z Compile requests 87 2025-10-10T03:05:17.4938504Z Compile requests executed 0 2025-10-10T03:05:17.4938804Z Cache hits 0 2025-10-10T03:05:17.4939094Z Cache misses 0 2025-10-10T03:05:17.4939385Z Cache hits rate - 2025-10-10T03:05:17.4939680Z Cache timeouts 0 2025-10-10T03:05:17.4939973Z Cache read errors 0 2025-10-10T03:05:17.4940266Z Forced recaches 0 2025-10-10T03:05:17.4940554Z Cache write errors 0 2025-10-10T03:05:17.4940846Z Cache errors 0 2025-10-10T03:05:17.4941139Z Compilations 0 2025-10-10T03:05:17.4941450Z Compilation failures 0 2025-10-10T03:05:17.4941752Z Non-cacheable compilations 0 2025-10-10T03:05:17.4942169Z Non-cacheable calls 6 2025-10-10T03:05:17.4942556Z Non-compilation calls 81 2025-10-10T03:05:17.4942963Z Unsupported compiler calls 0 2025-10-10T03:05:17.4943374Z Average cache write 0.000 s 2025-10-10T03:05:17.4943682Z Average compiler 0.000 s 2025-10-10T03:05:17.4943984Z Average cache read hit 0.000 s 2025-10-10T03:05:17.4944291Z Failed distributed compilations 0 2025-10-10T03:05:17.4944490Z 2025-10-10T03:05:17.4944586Z Non-cacheable reasons: 2025-10-10T03:05:17.4944833Z -E 6 2025-10-10T03:05:17.4945023Z 2025-10-10T03:05:17.4945242Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-10-10T03:05:17.4945655Z Version (client) 0.10.0 2025-10-10T03:05:17.4945966Z + echo ::endgroup:: 2025-10-10T03:05:17.4946537Z ##[endgroup] 2025-10-10T03:05:17.4946753Z + cleanup_workspace 2025-10-10T03:05:17.4947201Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-10-10T03:05:17.4947898Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-10-10T03:05:17.4948460Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-10-10T03:05:17.4948888Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-10-10T03:05:17.4949369Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-10-10T03:05:17.4949908Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-10-10T03:05:17.4950343Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-10-10T03:05:18.6100605Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-10-10T03:05:18.6101045Z with: 2025-10-10T03:05:18.6101298Z benchmark-results-dir: test/test-reports 2025-10-10T03:05:18.6101792Z dry-run: false 2025-10-10T03:05:18.6102026Z schema-version: v3 2025-10-10T03:05:18.6102950Z github-token: *** 2025-10-10T03:05:18.6103173Z env: 2025-10-10T03:05:18.6103381Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:05:18.6103699Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:05:18.6104216Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:05:18.6104674Z ##[endgroup] 2025-10-10T03:05:18.6138155Z ##[group]Run set -eux 2025-10-10T03:05:18.6138417Z set -eux 2025-10-10T03:05:18.6138631Z  2025-10-10T03:05:18.6138837Z if [[ -n "" ]]; then 2025-10-10T03:05:18.6139093Z  source "" 2025-10-10T03:05:18.6139326Z fi 2025-10-10T03:05:18.6139682Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-10-10T03:05:18.6140077Z  2025-10-10T03:05:18.6140297Z DEVICE_NAME="" 2025-10-10T03:05:18.6140557Z DEVICE_TYPE="" 2025-10-10T03:05:18.6140790Z  2025-10-10T03:05:18.6141017Z if command -v nvidia-smi; then 2025-10-10T03:05:18.6141437Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-10-10T03:05:18.6141965Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-10-10T03:05:18.6142460Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-10-10T03:05:18.6142857Z  python3 -mpip install torch==2.7.1 2025-10-10T03:05:18.6143186Z elif command -v rocminfo; then 2025-10-10T03:05:18.6143593Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-10-10T03:05:18.6144107Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-10-10T03:05:18.6144625Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-10-10T03:05:18.6145214Z  # GPU device name coming from rocminfo instead 2025-10-10T03:05:18.6145647Z  DEVICE_NAME=rocm 2025-10-10T03:05:18.6146095Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-10-10T03:05:18.6146552Z fi 2025-10-10T03:05:18.6146751Z  2025-10-10T03:05:18.6147009Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-10-10T03:05:18.6147392Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-10-10T03:05:18.6162197Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T03:05:18.6162535Z env: 2025-10-10T03:05:18.6162749Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:05:18.6163063Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:05:18.6163588Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:05:18.6164054Z ##[endgroup] 2025-10-10T03:05:18.6203819Z + [[ -n '' ]] 2025-10-10T03:05:18.6204152Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-10-10T03:05:18.9137655Z Defaulting to user installation because normal site-packages is not writeable 2025-10-10T03:05:20.1966668Z Collecting boto3==1.35.33 2025-10-10T03:05:20.2143183Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-10-10T03:05:20.5686282Z Collecting psutil==7.0.0 2025-10-10T03:05:20.5729548Z 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) 2025-10-10T03:05:20.6016350Z Collecting pynvml==12.0.0 2025-10-10T03:05:20.6051984Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-10-10T03:05:22.0216415Z Collecting botocore<1.36.0,>=1.35.33 2025-10-10T03:05:22.0256794Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-10-10T03:05:22.1751094Z 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) 2025-10-10T03:05:22.2194056Z Collecting s3transfer<0.11.0,>=0.10.0 2025-10-10T03:05:22.2230096Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-10-10T03:05:22.2745001Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-10-10T03:05:22.2792457Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-10-10T03:05:22.2884795Z 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) 2025-10-10T03:05:22.2891174Z 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) 2025-10-10T03:05:22.4603912Z 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) 2025-10-10T03:05:22.5977652Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-10-10T03:05:23.1605442Z Attempting uninstall: nvidia-ml-py 2025-10-10T03:05:23.1606335Z Found existing installation: nvidia-ml-py 11.525.84 2025-10-10T03:05:23.1621763Z Uninstalling nvidia-ml-py-11.525.84: 2025-10-10T03:05:23.1874149Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-10-10T03:05:23.2448970Z Attempting uninstall: psutil 2025-10-10T03:05:23.2449662Z Found existing installation: psutil 5.9.8 2025-10-10T03:05:23.2542175Z Uninstalling psutil-5.9.8: 2025-10-10T03:05:23.2549094Z Successfully uninstalled psutil-5.9.8 2025-10-10T03:05:23.4230404Z 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 2025-10-10T03:05:23.5506109Z + DEVICE_NAME= 2025-10-10T03:05:23.5506355Z + DEVICE_TYPE= 2025-10-10T03:05:23.5506677Z + command -v nvidia-smi 2025-10-10T03:05:23.5507020Z /usr/bin/nvidia-smi 2025-10-10T03:05:23.5507304Z + python3 -mpip install torch==2.7.1 2025-10-10T03:05:23.7885957Z Defaulting to user installation because normal site-packages is not writeable 2025-10-10T03:05:24.0789503Z Collecting torch==2.7.1 2025-10-10T03:05:24.0990282Z Downloading torch-2.7.1-cp39-cp39-manylinux_2_28_x86_64.whl (821.1 MB) 2025-10-10T03:05:37.7456250Z Collecting nvidia-cudnn-cu12==9.5.1.17 2025-10-10T03:05:37.7503462Z Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB) 2025-10-10T03:05:47.5122472Z Collecting nvidia-nvtx-cu12==12.6.77 2025-10-10T03:05:47.5159450Z Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) 2025-10-10T03:05:47.5556431Z Collecting nvidia-nvjitlink-cu12==12.6.85 2025-10-10T03:05:47.5599629Z Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB) 2025-10-10T03:05:47.8005958Z Collecting nvidia-cusparselt-cu12==0.6.3 2025-10-10T03:05:47.8044854Z Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) 2025-10-10T03:05:49.8319738Z Collecting nvidia-cufile-cu12==1.11.1.6 2025-10-10T03:05:49.8376244Z Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB) 2025-10-10T03:05:49.9259644Z Collecting fsspec 2025-10-10T03:05:49.9297976Z Downloading fsspec-2025.9.0-py3-none-any.whl (199 kB) 2025-10-10T03:05:49.9671192Z Collecting nvidia-cusolver-cu12==11.7.1.2 2025-10-10T03:05:49.9713470Z Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB) 2025-10-10T03:05:51.9974357Z Requirement already satisfied: jinja2 in /usr/lib/python3.9/site-packages (from torch==2.7.1) (2.11.3) 2025-10-10T03:05:52.0633955Z Collecting networkx 2025-10-10T03:05:52.0691486Z Downloading networkx-3.2.1-py3-none-any.whl (1.6 MB) 2025-10-10T03:05:52.1231376Z Collecting nvidia-cufft-cu12==11.3.0.4 2025-10-10T03:05:52.1279479Z Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB) 2025-10-10T03:05:54.7078713Z Collecting filelock 2025-10-10T03:05:54.7114246Z Downloading filelock-3.19.1-py3-none-any.whl (15 kB) 2025-10-10T03:05:54.7144216Z 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) 2025-10-10T03:05:54.7404738Z Collecting nvidia-nccl-cu12==2.26.2 2025-10-10T03:05:54.7441556Z Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) 2025-10-10T03:05:57.4217601Z Collecting sympy>=1.13.3 2025-10-10T03:05:57.4283903Z Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB) 2025-10-10T03:05:57.5212182Z Collecting nvidia-cuda-cupti-cu12==12.6.80 2025-10-10T03:05:57.5258886Z Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB) 2025-10-10T03:05:57.6390804Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 2025-10-10T03:05:57.6706862Z Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-10-10T03:05:57.9869902Z Collecting nvidia-cuda-runtime-cu12==12.6.77 2025-10-10T03:05:57.9906813Z Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB) 2025-10-10T03:05:58.0435282Z Collecting triton==3.3.1 2025-10-10T03:05:58.0515225Z Downloading triton-3.3.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB) 2025-10-10T03:05:59.8203231Z Collecting nvidia-cublas-cu12==12.6.4.1 2025-10-10T03:05:59.8246116Z Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB) 2025-10-10T03:06:05.6026930Z Collecting nvidia-curand-cu12==10.3.7.77 2025-10-10T03:06:05.6066452Z Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB) 2025-10-10T03:06:06.3849928Z Collecting nvidia-cusparse-cu12==12.5.4.2 2025-10-10T03:06:06.3901318Z Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB) 2025-10-10T03:06:09.4047895Z 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) 2025-10-10T03:06:09.4356936Z Collecting mpmath<1.4,>=1.1.0 2025-10-10T03:06:09.4409599Z Downloading mpmath-1.3.0-py3-none-any.whl (536 kB) 2025-10-10T03:06:09.5348794Z Requirement already satisfied: MarkupSafe>=0.23 in /usr/lib64/python3.9/site-packages (from jinja2->torch==2.7.1) (1.1.1) 2025-10-10T03:06:09.8951818Z 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 2025-10-10T03:06:19.2578046Z WARNING: The scripts proton and proton-viewer are installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-10-10T03:06:19.2579223Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-10-10T03:06:23.3639286Z WARNING: The script isympy is installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-10-10T03:06:23.3640080Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-10-10T03:06:54.6715195Z WARNING: The scripts torchfrtrace and torchrun are installed in '/home/ec2-user/.local/bin' which is not on PATH. 2025-10-10T03:06:54.6716029Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2025-10-10T03:06:54.7712084Z Successfully installed filelock-3.19.1 fsspec-2025.9.0 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 2025-10-10T03:06:55.4555225Z + echo DEVICE_NAME= 2025-10-10T03:06:55.4555515Z + echo DEVICE_TYPE= 2025-10-10T03:06:55.4583579Z ##[group]Run set -eux 2025-10-10T03:06:55.4583840Z set -eux 2025-10-10T03:06:55.4584112Z  2025-10-10T03:06:55.4584351Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-10-10T03:06:55.4584692Z  echo "Missing github-token input" 2025-10-10T03:06:55.4584998Z  exit 1 2025-10-10T03:06:55.4585211Z fi 2025-10-10T03:06:55.4597169Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T03:06:55.4597526Z env: 2025-10-10T03:06:55.4597748Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:06:55.4598072Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:06:55.4598610Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:06:55.4599090Z DEVICE_NAME: 2025-10-10T03:06:55.4599317Z DEVICE_TYPE: 2025-10-10T03:06:55.4599751Z GITHUB_TOKEN: *** 2025-10-10T03:06:55.4599986Z ##[endgroup] 2025-10-10T03:06:55.4649010Z + [[ -z *** ]] 2025-10-10T03:06:55.4702217Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-10-10T03:06:55.4702841Z with: 2025-10-10T03:06:55.4703188Z github-token: *** 2025-10-10T03:06:55.4703419Z env: 2025-10-10T03:06:55.4703636Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:06:55.4703954Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:06:55.4704483Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:06:55.4704960Z DEVICE_NAME: 2025-10-10T03:06:55.4705185Z DEVICE_TYPE: 2025-10-10T03:06:55.4705406Z ##[endgroup] 2025-10-10T03:06:55.4730555Z ##[group]Run set -eux 2025-10-10T03:06:55.4730892Z set -eux 2025-10-10T03:06:55.4731147Z  2025-10-10T03:06:55.4731608Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-10-10T03:06:55.4740958Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T03:06:55.4741322Z env: 2025-10-10T03:06:55.4741542Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:06:55.4741867Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:06:55.4742396Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:06:55.4742882Z DEVICE_NAME: 2025-10-10T03:06:55.4743114Z DEVICE_TYPE: 2025-10-10T03:06:55.4743467Z GITHUB_TOKEN: *** 2025-10-10T03:06:55.4743708Z ##[endgroup] 2025-10-10T03:06:55.4779947Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 18392306145 i-0f168839050dd63cf 2025-10-10T03:06:56.6263997Z setting job-id=52409452359 2025-10-10T03:06:56.6264669Z setting job-name=inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-10-10T03:06:56.6380808Z ##[group]Run set -eux 2025-10-10T03:06:56.6381102Z set -eux 2025-10-10T03:06:56.6381333Z  2025-10-10T03:06:56.6381552Z if [[ -n "" ]]; then 2025-10-10T03:06:56.6381818Z  source "" 2025-10-10T03:06:56.6382045Z fi 2025-10-10T03:06:56.6382253Z  2025-10-10T03:06:56.6382618Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-10-10T03:06:56.6383106Z  --schema-version "${SCHEMA_VERSION}" \ 2025-10-10T03:06:56.6383430Z  --repo "${REPO}" \ 2025-10-10T03:06:56.6383732Z  --head-branch "${HEAD_BRANCH}" \ 2025-10-10T03:06:56.6384053Z  --head-sha "${HEAD_SHA}" \ 2025-10-10T03:06:56.6384376Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-10-10T03:06:56.6384712Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-10-10T03:06:56.6385228Z  --job-id "${JOB_ID}" \ 2025-10-10T03:06:56.6385522Z  --job-name "${JOB_NAME}" 2025-10-10T03:06:56.6394651Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T03:06:56.6395204Z env: 2025-10-10T03:06:56.6395414Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:06:56.6395732Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:06:56.6396265Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:06:56.6396738Z DEVICE_NAME: 2025-10-10T03:06:56.6396955Z DEVICE_TYPE: 2025-10-10T03:06:56.6397178Z SCHEMA_VERSION: v3 2025-10-10T03:06:56.6397423Z REPO: pytorch/pytorch 2025-10-10T03:06:56.6397682Z HEAD_BRANCH: refs/heads/main 2025-10-10T03:06:56.6397988Z HEAD_SHA: 344e6365a0068c2d2847fcec0c55dd53291d475e 2025-10-10T03:06:56.6398318Z WORKFLOW_RUN_ID: 18392306145 2025-10-10T03:06:56.6398580Z RUN_ATTEMPT: 1 2025-10-10T03:06:56.6398806Z JOB_ID: 52409452359 2025-10-10T03:06:56.6399216Z JOB_NAME: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-10-10T03:06:56.6399666Z ##[endgroup] 2025-10-10T03:06:56.6432112Z + [[ -n '' ]] 2025-10-10T03:06:56.6434171Z + 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 344e6365a0068c2d2847fcec0c55dd53291d475e --workflow-id 18392306145 --run-attempt 1 --job-id 52409452359 --job-name 'inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)' 2025-10-10T03:06:56.6778037Z ##[group]Run set -eux 2025-10-10T03:06:56.6778309Z set -eux 2025-10-10T03:06:56.6778535Z  2025-10-10T03:06:56.6778755Z if [[ -n "" ]]; then 2025-10-10T03:06:56.6779015Z  source "" 2025-10-10T03:06:56.6779250Z fi 2025-10-10T03:06:56.6779459Z  2025-10-10T03:06:56.6779841Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-10-10T03:06:56.6788767Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T03:06:56.6789131Z env: 2025-10-10T03:06:56.6789344Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:06:56.6789665Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:06:56.6790187Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:06:56.6790659Z DEVICE_NAME: 2025-10-10T03:06:56.6790883Z DEVICE_TYPE: 2025-10-10T03:06:56.6791104Z ##[endgroup] 2025-10-10T03:06:56.6821978Z + [[ -n '' ]] 2025-10-10T03:06:56.6822719Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-10-10T03:06:57.6918403Z /home/ec2-user/.local/lib/python3.9/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.) 2025-10-10T03:06:57.6920178Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-10-10T03:06:58.6912530Z ##[group]Run set -eux 2025-10-10T03:06:58.6912820Z set -eux 2025-10-10T03:06:58.6913044Z  2025-10-10T03:06:58.6913288Z # TODO (huydhn): Implement this part 2025-10-10T03:06:58.6913661Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-10-10T03:06:58.6922851Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T03:06:58.6923203Z env: 2025-10-10T03:06:58.6923415Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:06:58.6923732Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:06:58.6924255Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:06:58.6924728Z DEVICE_NAME: 2025-10-10T03:06:58.6924951Z DEVICE_TYPE: 2025-10-10T03:06:58.6925163Z ##[endgroup] 2025-10-10T03:06:58.6965663Z + echo 'dependencies={}' 2025-10-10T03:06:58.7099417Z ##[group]Run set -eux 2025-10-10T03:06:58.7099680Z set -eux 2025-10-10T03:06:58.7099898Z  2025-10-10T03:06:58.7100110Z if [[ -n "" ]]; then 2025-10-10T03:06:58.7100593Z  source "" 2025-10-10T03:06:58.7100831Z fi 2025-10-10T03:06:58.7101044Z  2025-10-10T03:06:58.7101308Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-10-10T03:06:58.7101719Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-10-10T03:06:58.7102174Z  # We don't want the job to fail if the directory doesn't exist 2025-10-10T03:06:58.7102909Z  exit 0 2025-10-10T03:06:58.7103134Z fi 2025-10-10T03:06:58.7103342Z  2025-10-10T03:06:58.7103579Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-10-10T03:06:58.7104030Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-10-10T03:06:58.7104562Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-10-10T03:06:58.7104962Z  --metadata "${BENCHMARK_METADATA}" \ 2025-10-10T03:06:58.7105302Z  --runners "${RUNNER_INFO}" \ 2025-10-10T03:06:58.7105643Z  --dependencies "${DEPENDENCIES}" \ 2025-10-10T03:06:58.7105964Z  --dry-run 2025-10-10T03:06:58.7106210Z else 2025-10-10T03:06:58.7106564Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-10-10T03:06:58.7107081Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-10-10T03:06:58.7107480Z  --metadata "${BENCHMARK_METADATA}" \ 2025-10-10T03:06:58.7107815Z  --runners "${RUNNER_INFO}" \ 2025-10-10T03:06:58.7108142Z  --dependencies "${DEPENDENCIES}" 2025-10-10T03:06:58.7108449Z fi 2025-10-10T03:06:58.7116855Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T03:06:58.7117210Z env: 2025-10-10T03:06:58.7117429Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:06:58.7117757Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:06:58.7118289Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:06:58.7118772Z DEVICE_NAME: 2025-10-10T03:06:58.7119001Z DEVICE_TYPE: 2025-10-10T03:06:58.7119256Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-10-10T03:06:58.7119562Z DRY_RUN: false 2025-10-10T03:06:58.7120776Z BENCHMARK_METADATA: {"timestamp": 1760065616, "schema_version": "v3", "name": "inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "344e6365a0068c2d2847fcec0c55dd53291d475e", "workflow_id": 18392306145, "run_attempt": 1, "job_id": 52409452359} 2025-10-10T03:06:58.7122427Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 62, "extra_info": {"hostname": "ip-10-0-9-26.ec2.internal"}, "name": "cuda", "type": "NVIDIA A10G", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}] 2025-10-10T03:06:58.7123146Z DEPENDENCIES: {} 2025-10-10T03:06:58.7123380Z ##[endgroup] 2025-10-10T03:06:58.7151981Z + [[ -n '' ]] 2025-10-10T03:06:58.7152267Z + [[ ! -d test/test-reports ]] 2025-10-10T03:06:58.7152585Z + [[ false == \t\r\u\e ]] 2025-10-10T03:06:58.7155478Z + 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": 1760065616, "schema_version": "v3", "name": "inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "344e6365a0068c2d2847fcec0c55dd53291d475e", "workflow_id": 18392306145, "run_attempt": 1, "job_id": 52409452359}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 62, "extra_info": {"hostname": "ip-10-0-9-26.ec2.internal"}, "name": "cuda", "type": "NVIDIA A10G", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}]' --dependencies '{}' 2025-10-10T03:06:58.9769994Z INFO:root:Upload test/test-reports/inference_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52409452359/inference_torchbench.json 2025-10-10T03:06:59.0196520Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-10-10T03:06:59.2866185Z INFO:root:Upload test/test-reports/training_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52409452359/training_torchbench.json 2025-10-10T03:06:59.4339803Z ##[group]Run cat test/**/*_toprint.log || true 2025-10-10T03:06:59.4340184Z cat test/**/*_toprint.log || true 2025-10-10T03:06:59.4349140Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T03:06:59.4349489Z env: 2025-10-10T03:06:59.4349705Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:06:59.4350022Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:06:59.4350588Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:06:59.4351062Z DEVICE_NAME: 2025-10-10T03:06:59.4351287Z DEVICE_TYPE: 2025-10-10T03:06:59.4351512Z ##[endgroup] 2025-10-10T03:06:59.4466052Z cat: 'test/**/*_toprint.log': No such file or directory 2025-10-10T03:06:59.4581915Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-10-10T03:06:59.4582264Z kill "$MONITOR_SCRIPT_PID" 2025-10-10T03:06:59.4590539Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T03:06:59.4590943Z env: 2025-10-10T03:06:59.4591162Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:06:59.4591481Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:06:59.4591999Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:06:59.4592473Z DEVICE_NAME: 2025-10-10T03:06:59.4592701Z DEVICE_TYPE: 2025-10-10T03:06:59.4592935Z MONITOR_SCRIPT_PID: 59936 2025-10-10T03:06:59.4593189Z ##[endgroup] 2025-10-10T03:06:59.4780565Z Prepare all required actions 2025-10-10T03:06:59.4780975Z Getting action download info 2025-10-10T03:06:59.6362243Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-10-10T03:07:00.2667882Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-10-10T03:07:02.1323688Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-10-10T03:07:02.1324025Z with: 2025-10-10T03:07:02.1324416Z file-suffix: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_52409452359 2025-10-10T03:07:02.1324889Z s3-bucket: gha-artifacts 2025-10-10T03:07:02.1325138Z env: 2025-10-10T03:07:02.1325347Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:07:02.1325664Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:07:02.1326188Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:07:02.1326650Z DEVICE_NAME: 2025-10-10T03:07:02.1326906Z DEVICE_TYPE: 2025-10-10T03:07:02.1327120Z ##[endgroup] 2025-10-10T03:07:02.1414360Z ##[group]Run # Remove any previous test jsons if they exist 2025-10-10T03:07:02.1414785Z # Remove any previous test jsons if they exist 2025-10-10T03:07:02.1415146Z rm -f test-jsons-*.zip 2025-10-10T03:07:02.1415543Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-10-10T03:07:02.1425644Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T03:07:02.1425996Z env: 2025-10-10T03:07:02.1426208Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:07:02.1426527Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:07:02.1427045Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:07:02.1427517Z DEVICE_NAME: 2025-10-10T03:07:02.1427742Z DEVICE_TYPE: 2025-10-10T03:07:02.1428136Z FILE_SUFFIX: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_52409452359 2025-10-10T03:07:02.1428592Z ##[endgroup] 2025-10-10T03:07:02.2830197Z adding: test/test-reports/inference_torchbench.json (deflated 99%) 2025-10-10T03:07:02.2873400Z adding: test/test-reports/training_torchbench.json (deflated 99%) 2025-10-10T03:07:02.2962690Z ##[group]Run # Remove any previous test reports if they exist 2025-10-10T03:07:02.2963142Z # Remove any previous test reports if they exist 2025-10-10T03:07:02.2963500Z rm -f test-reports-*.zip 2025-10-10T03:07:02.2963953Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-10-10T03:07:02.2973245Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T03:07:02.2973596Z env: 2025-10-10T03:07:02.2973810Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:07:02.2974135Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:07:02.2974663Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:07:02.2975143Z DEVICE_NAME: 2025-10-10T03:07:02.2975387Z DEVICE_TYPE: 2025-10-10T03:07:02.2975780Z FILE_SUFFIX: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_52409452359 2025-10-10T03:07:02.2976237Z ##[endgroup] 2025-10-10T03:07:02.3080717Z adding: test/test-reports/inference_torchbench.csv (deflated 62%) 2025-10-10T03:07:02.3084824Z adding: test/test-reports/inference_torchbench_graph_breaks.csv (deflated 93%) 2025-10-10T03:07:02.3086829Z adding: test/test-reports/inference_torchbench_graph_break_deduped.csv (deflated 78%) 2025-10-10T03:07:02.3087411Z adding: test/test-reports/training_torchbench.csv (deflated 59%) 2025-10-10T03:07:02.3100554Z adding: test/test-reports/training_torchbench_graph_breaks.csv (deflated 97%) 2025-10-10T03:07:02.3103234Z adding: test/test-reports/training_torchbench_graph_break_deduped.csv (deflated 80%) 2025-10-10T03:07:02.3201843Z ##[group]Run # Remove any previous usage logs if they exist 2025-10-10T03:07:02.3202633Z # Remove any previous usage logs if they exist 2025-10-10T03:07:02.3203248Z rm -f logs-*.zip 2025-10-10T03:07:02.3203601Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-10-10T03:07:02.3204075Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-10-10T03:07:02.3213072Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T03:07:02.3213423Z env: 2025-10-10T03:07:02.3213641Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:07:02.3213953Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:07:02.3214480Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:07:02.3214953Z DEVICE_NAME: 2025-10-10T03:07:02.3215178Z DEVICE_TYPE: 2025-10-10T03:07:02.3215573Z FILE_SUFFIX: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_52409452359 2025-10-10T03:07:02.3216019Z ##[endgroup] 2025-10-10T03:07:02.3403338Z adding: usage_log.txt (deflated 96%) 2025-10-10T03:07:02.3421253Z 2025-10-10T03:07:02.3421979Z zip error: Nothing to do! (logs-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_52409452359.zip) 2025-10-10T03:07:02.3503086Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-10-10T03:07:02.3503583Z # Remove any previous debugging artifacts if they exist 2025-10-10T03:07:02.3503995Z rm -f debug-*.zip 2025-10-10T03:07:02.3504268Z if [ -d 'test/debug' ]; then 2025-10-10T03:07:02.3504609Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-10-10T03:07:02.3504939Z fi 2025-10-10T03:07:02.3513971Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T03:07:02.3514329Z env: 2025-10-10T03:07:02.3514640Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:07:02.3514961Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:07:02.3515480Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:07:02.3515956Z DEVICE_NAME: 2025-10-10T03:07:02.3516183Z DEVICE_TYPE: 2025-10-10T03:07:02.3516589Z FILE_SUFFIX: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_52409452359 2025-10-10T03:07:02.3517040Z ##[endgroup] 2025-10-10T03:07:02.3774055Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-10-10T03:07:02.3774372Z with: 2025-10-10T03:07:02.3774801Z s3-bucket: gha-artifacts 2025-10-10T03:07:02.3775122Z s3-prefix: pytorch/pytorch/18392306145/1/artifact 2025-10-10T03:07:02.3775469Z retention-days: 14 2025-10-10T03:07:02.3775719Z if-no-files-found: warn 2025-10-10T03:07:02.3776000Z path: test-jsons-*.zip 2025-10-10T03:07:02.3776267Z name: artifact 2025-10-10T03:07:02.3776511Z region: us-east-1 2025-10-10T03:07:02.3776730Z env: 2025-10-10T03:07:02.3776951Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:07:02.3777277Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:07:02.3777822Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:07:02.3778294Z DEVICE_NAME: 2025-10-10T03:07:02.3778520Z DEVICE_TYPE: 2025-10-10T03:07:02.3778753Z ##[endgroup] 2025-10-10T03:07:02.8586374Z NOTE: s3-prefix specified, ignoring name parameter 2025-10-10T03:07:02.8586804Z With the provided path, there will be 1 file uploaded 2025-10-10T03:07:02.8587238Z Uploading to s3 prefix: pytorch/pytorch/18392306145/1/artifact 2025-10-10T03:07:02.8659257Z Starting upload of test-jsons-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_52409452359.zip 2025-10-10T03:07:03.0021810Z Finished upload of test-jsons-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_52409452359.zip 2025-10-10T03:07:03.0374613Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-10-10T03:07:03.0374924Z with: 2025-10-10T03:07:03.0375132Z s3-bucket: gha-artifacts 2025-10-10T03:07:03.0375430Z s3-prefix: pytorch/pytorch/18392306145/1/artifact 2025-10-10T03:07:03.0375753Z retention-days: 14 2025-10-10T03:07:03.0375993Z if-no-files-found: error 2025-10-10T03:07:03.0376255Z path: test-reports-*.zip 2025-10-10T03:07:03.0376494Z name: artifact 2025-10-10T03:07:03.0376933Z region: us-east-1 2025-10-10T03:07:03.0377152Z env: 2025-10-10T03:07:03.0377352Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:07:03.0377653Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:07:03.0378181Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:07:03.0378645Z DEVICE_NAME: 2025-10-10T03:07:03.0378857Z DEVICE_TYPE: 2025-10-10T03:07:03.0379060Z ##[endgroup] 2025-10-10T03:07:03.5878399Z NOTE: s3-prefix specified, ignoring name parameter 2025-10-10T03:07:03.5878849Z With the provided path, there will be 1 file uploaded 2025-10-10T03:07:03.5879273Z Uploading to s3 prefix: pytorch/pytorch/18392306145/1/artifact 2025-10-10T03:07:03.5951254Z Starting upload of test-reports-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_52409452359.zip 2025-10-10T03:07:03.7363585Z Finished upload of test-reports-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_52409452359.zip 2025-10-10T03:07:03.7737471Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-10-10T03:07:03.7737793Z with: 2025-10-10T03:07:03.7738013Z s3-bucket: gha-artifacts 2025-10-10T03:07:03.7738326Z s3-prefix: pytorch/pytorch/18392306145/1/artifact 2025-10-10T03:07:03.7738659Z retention-days: 14 2025-10-10T03:07:03.7738919Z if-no-files-found: ignore 2025-10-10T03:07:03.7739186Z path: logs-*.zip 2025-10-10T03:07:03.7739417Z name: artifact 2025-10-10T03:07:03.7739648Z region: us-east-1 2025-10-10T03:07:03.7739863Z env: 2025-10-10T03:07:03.7740077Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:07:03.7740400Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:07:03.7740925Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:07:03.7741399Z DEVICE_NAME: 2025-10-10T03:07:03.7741705Z DEVICE_TYPE: 2025-10-10T03:07:03.7752992Z ##[endgroup] 2025-10-10T03:07:04.1122549Z NOTE: s3-prefix specified, ignoring name parameter 2025-10-10T03:07:04.1123016Z With the provided path, there will be 1 file uploaded 2025-10-10T03:07:04.1123440Z Uploading to s3 prefix: pytorch/pytorch/18392306145/1/artifact 2025-10-10T03:07:04.1194575Z Starting upload of logs-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_52409452359.zip 2025-10-10T03:07:04.2635331Z Finished upload of logs-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_52409452359.zip 2025-10-10T03:07:04.3043984Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-10-10T03:07:04.3044306Z with: 2025-10-10T03:07:04.3044532Z s3-bucket: gha-artifacts 2025-10-10T03:07:04.3044852Z s3-prefix: pytorch/pytorch/18392306145/1/artifact 2025-10-10T03:07:04.3045190Z retention-days: 14 2025-10-10T03:07:04.3045449Z if-no-files-found: ignore 2025-10-10T03:07:04.3045714Z path: debug-*.zip 2025-10-10T03:07:04.3045947Z name: artifact 2025-10-10T03:07:04.3046176Z region: us-east-1 2025-10-10T03:07:04.3046394Z env: 2025-10-10T03:07:04.3046607Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:07:04.3046949Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:07:04.3047488Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:07:04.3047967Z DEVICE_NAME: 2025-10-10T03:07:04.3048187Z DEVICE_TYPE: 2025-10-10T03:07:04.3048425Z ##[endgroup] 2025-10-10T03:07:04.6392373Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-10-10T03:07:04.6773179Z ##[group]Run # shellcheck disable=SC2156 2025-10-10T03:07:04.6773546Z # shellcheck disable=SC2156 2025-10-10T03:07:04.6774080Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-10-10T03:07:04.6783491Z shell: /usr/bin/bash -e {0} 2025-10-10T03:07:04.6783755Z env: 2025-10-10T03:07:04.6783971Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:07:04.6784309Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:07:04.6784935Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:07:04.6785399Z DEVICE_NAME: 2025-10-10T03:07:04.6785617Z DEVICE_TYPE: 2025-10-10T03:07:04.6785829Z ##[endgroup] 2025-10-10T03:07:05.1356508Z Prepare all required actions 2025-10-10T03:07:05.1356896Z Getting action download info 2025-10-10T03:07:05.2623664Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-10-10T03:07:05.2623993Z with: 2025-10-10T03:07:05.2624193Z job_id: 52409452359 2025-10-10T03:07:05.2624587Z job_name: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-10-10T03:07:05.2625037Z workflow_name: inductor 2025-10-10T03:07:05.2625298Z workflow_run_id: 18392306145 2025-10-10T03:07:05.2625547Z workflow_attempt: 1 2025-10-10T03:07:05.2625776Z env: 2025-10-10T03:07:05.2625976Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:07:05.2626287Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:07:05.2626797Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:07:05.2627263Z DEVICE_NAME: 2025-10-10T03:07:05.2627475Z DEVICE_TYPE: 2025-10-10T03:07:05.2627687Z ##[endgroup] 2025-10-10T03:07:05.2685479Z ##[group]Run echo "workflow_id: 18392306145" 2025-10-10T03:07:05.2685829Z echo "workflow_id: 18392306145" 2025-10-10T03:07:05.2686154Z echo "workflow_attempt: 1" 2025-10-10T03:07:05.2686459Z echo "workflow_Name: inductor" 2025-10-10T03:07:05.2686763Z echo "job_id: 52409452359" 2025-10-10T03:07:05.2687265Z echo "job_name: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)" 2025-10-10T03:07:05.2687784Z echo "artifact_prefix: " 2025-10-10T03:07:05.2688080Z python3 --version 2025-10-10T03:07:05.2697161Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T03:07:05.2697515Z env: 2025-10-10T03:07:05.2697728Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:07:05.2698045Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:07:05.2698565Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:07:05.2699039Z DEVICE_NAME: 2025-10-10T03:07:05.2699266Z DEVICE_TYPE: 2025-10-10T03:07:05.2699481Z ##[endgroup] 2025-10-10T03:07:05.2730035Z workflow_id: 18392306145 2025-10-10T03:07:05.2730518Z workflow_attempt: 1 2025-10-10T03:07:05.2730762Z workflow_Name: inductor 2025-10-10T03:07:05.2731010Z job_id: 52409452359 2025-10-10T03:07:05.2731413Z job_name: inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu) 2025-10-10T03:07:05.2731869Z artifact_prefix: 2025-10-10T03:07:05.2746733Z Python 3.9.23 2025-10-10T03:07:05.2802746Z ##[group]Run nick-fields/retry@v3.0.0 2025-10-10T03:07:05.2803039Z with: 2025-10-10T03:07:05.2803230Z shell: bash 2025-10-10T03:07:05.2803449Z timeout_minutes: 5 2025-10-10T03:07:05.2803685Z max_attempts: 5 2025-10-10T03:07:05.2803910Z retry_wait_seconds: 30 2025-10-10T03:07:05.2804409Z command: set -eu python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7 2025-10-10T03:07:05.2804991Z polling_interval_seconds: 1 2025-10-10T03:07:05.2805271Z warning_on_retry: true 2025-10-10T03:07:05.2805519Z continue_on_error: false 2025-10-10T03:07:05.2805758Z env: 2025-10-10T03:07:05.2805961Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:07:05.2806270Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:07:05.2806797Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:07:05.2807258Z DEVICE_NAME: 2025-10-10T03:07:05.2807465Z DEVICE_TYPE: 2025-10-10T03:07:05.2807679Z ##[endgroup] 2025-10-10T03:07:05.6457470Z Defaulting to user installation because normal site-packages is not writeable 2025-10-10T03:07:05.7362955Z Collecting python-dateutil==2.8.2 2025-10-10T03:07:05.7562505Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-10-10T03:07:06.9598438Z Collecting boto3==1.35.42 2025-10-10T03:07:06.9646624Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-10-10T03:07:07.6268916Z Collecting pandas==2.1.3 2025-10-10T03:07:07.6319499Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-10-10T03:07:07.9243778Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-10-10T03:07:07.9260929Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-10-10T03:07:07.9308804Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.0) 2025-10-10T03:07:07.9315011Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (1.35.99) 2025-10-10T03:07:07.9319950Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.4) 2025-10-10T03:07:07.9975635Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-10-10T03:07:08.0536168Z Collecting tzdata>=2022.1 2025-10-10T03:07:08.0583946Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-10-10T03:07:09.1149669Z Collecting numpy<2,>=1.22.4 2025-10-10T03:07:09.1203446Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-10-10T03:07:09.5468185Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (0.9.0) 2025-10-10T03:07:09.5471040Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (3.26.1) 2025-10-10T03:07:09.5529980Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.25.10) 2025-10-10T03:07:09.5644333Z Requirement already satisfied: packaging>=17.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0) 2025-10-10T03:07:09.5753173Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0) 2025-10-10T03:07:09.5757785Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0) 2025-10-10T03:07:09.9055069Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-10-10T03:07:15.3756199Z Attempting uninstall: boto3 2025-10-10T03:07:15.3758445Z Found existing installation: boto3 1.35.33 2025-10-10T03:07:15.3887174Z Uninstalling boto3-1.35.33: 2025-10-10T03:07:15.3905040Z Successfully uninstalled boto3-1.35.33 2025-10-10T03:07:15.5072718Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-10-10T03:07:16.3675726Z Command completed after 1 attempt(s). 2025-10-10T03:07:16.3825522Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-10-10T03:07:16.3828512Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-10-10T03:07:16.3829009Z  --workflow-run-id "18392306145" \ 2025-10-10T03:07:16.3829340Z  --workflow-name "inductor" \ 2025-10-10T03:07:16.3829663Z  --workflow-run-attempt "1" \ 2025-10-10T03:07:16.3829973Z  --job-id "52409452359" \ 2025-10-10T03:07:16.3830452Z  --job-name "inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)" \ 2025-10-10T03:07:16.3830952Z  --local-path "" \ 2025-10-10T03:07:16.3831235Z  --artifact-prefix "" 2025-10-10T03:07:16.3841218Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T03:07:16.3841564Z env: 2025-10-10T03:07:16.3841781Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:07:16.3842103Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:07:16.3842817Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:07:16.3843295Z DEVICE_NAME: 2025-10-10T03:07:16.3843522Z DEVICE_TYPE: 2025-10-10T03:07:16.3843741Z ##[endgroup] 2025-10-10T03:07:19.1045336Z repo: pytorch/pytorch 2025-10-10T03:07:19.1045719Z Search for test log in s3 bucket: ossci-utilization 2025-10-10T03:07:19.1046291Z Downloading logs-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_52409452359.zip 2025-10-10T03:07:19.1047072Z extracting usage_log.txt from zip file logs-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_52409452359.zip 2025-10-10T03:07:19.1047678Z Converted Log Model: UtilizationMetadata: 2025-10-10T03:07:19.1048944Z UtilizationMetadata(level='metadata', workflow_id='18392306145', job_id='52409452359', workflow_name='inductor', job_name='inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1760061445, gpu_count=1, cpu_count=16, gpu_type='pynvml', error=None) 2025-10-10T03:07:19.1050254Z [Db Segments] detected pytest cmd: 19, generated segments: 19 2025-10-10T03:07:19.1050646Z [db model] Peek db timeseries 2025-10-10T03:07:19.1050910Z :{ 2025-10-10T03:07:19.1051119Z "created_at": 1760065638, 2025-10-10T03:07:19.1051383Z "type": "utilization", 2025-10-10T03:07:19.1051633Z "tags": [ 2025-10-10T03:07:19.1051846Z "record" 2025-10-10T03:07:19.1052063Z ], 2025-10-10T03:07:19.1052268Z "time_stamp": 1760061445, 2025-10-10T03:07:19.1052544Z "repo": "pytorch/pytorch", 2025-10-10T03:07:19.1052823Z "workflow_id": 18392306145, 2025-10-10T03:07:19.1053086Z "run_attempt": 1, 2025-10-10T03:07:19.1053326Z "job_id": 52409452359, 2025-10-10T03:07:19.1053588Z "workflow_name": "inductor", 2025-10-10T03:07:19.1054042Z "job_name": "inductor-test / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)", 2025-10-10T03:07:19.1054507Z "json_data": "{}" 2025-10-10T03:07:19.1054734Z } 2025-10-10T03:07:19.1055203Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/18392306145/1/52409452359/metadata 2025-10-10T03:07:19.1056332Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/18392306145/1/52409452359/metadata 2025-10-10T03:07:19.1057192Z Writing 834 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/18392306145/1/52409452359/time_series 2025-10-10T03:07:19.1058062Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/18392306145/1/52409452359/time_series 2025-10-10T03:07:19.2438731Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-10-10T03:07:19.2439146Z with: 2025-10-10T03:07:19.2439351Z env: 2025-10-10T03:07:19.2439565Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:07:19.2439882Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:07:19.2440413Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:07:19.2440886Z DEVICE_NAME: 2025-10-10T03:07:19.2441108Z DEVICE_TYPE: 2025-10-10T03:07:19.2441320Z ##[endgroup] 2025-10-10T03:07:19.2520739Z ##[group]Run set -eou pipefail 2025-10-10T03:07:19.2521048Z set -eou pipefail 2025-10-10T03:07:19.2521305Z  2025-10-10T03:07:19.2521655Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-10-10T03:07:19.2522082Z for _ in $(seq 1440); do 2025-10-10T03:07:19.2522403Z  # Break if no ssh session exists anymore 2025-10-10T03:07:19.2522769Z  if [ "$(who)" = "" ]; then 2025-10-10T03:07:19.2523053Z  break 2025-10-10T03:07:19.2523288Z  fi 2025-10-10T03:07:19.2523515Z  echo "." 2025-10-10T03:07:19.2523758Z  sleep 5 2025-10-10T03:07:19.2523988Z done 2025-10-10T03:07:19.2532912Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T03:07:19.2533261Z env: 2025-10-10T03:07:19.2533478Z GIT_DEFAULT_BRANCH: main 2025-10-10T03:07:19.2533789Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-10-10T03:07:19.2534327Z DOCKER_CONTAINER_ID: f358c7834c9ebfce52b11ee7587c763ab2aa0ebfa030dd6cf1d2fd57abfa4378 2025-10-10T03:07:19.2534825Z DEVICE_NAME: 2025-10-10T03:07:19.2535127Z DEVICE_TYPE: 2025-10-10T03:07:19.2535430Z ##[endgroup] 2025-10-10T03:07:19.2566442Z Holding runner for 2 hours until all ssh sessions have logged out 2025-10-10T03:07:19.2994196Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-10-10T03:07:19.2994822Z # 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--name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-10-10T03:07:58.0056919Z http.https://github.com/.extraheader 2025-10-10T03:07:58.0069590Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-10-10T03:07:58.0109289Z [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' || :" 2025-10-10T03:07:58.0517596Z Entering 'android/libs/fbjni' 2025-10-10T03:07:58.0571356Z http.https://github.com/.extraheader 2025-10-10T03:07:58.0622459Z Entering 'third_party/FP16' 2025-10-10T03:07:58.0674483Z http.https://github.com/.extraheader 2025-10-10T03:07:58.0724848Z Entering 'third_party/FXdiv' 2025-10-10T03:07:58.0779103Z http.https://github.com/.extraheader 2025-10-10T03:07:58.0831915Z Entering 'third_party/NNPACK' 2025-10-10T03:07:58.0884288Z 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'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-10-10T03:07:58.4741794Z http.https://github.com/.extraheader 2025-10-10T03:07:58.4791947Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-10-10T03:07:58.4844513Z http.https://github.com/.extraheader 2025-10-10T03:07:58.4900212Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-10-10T03:07:58.4951590Z http.https://github.com/.extraheader 2025-10-10T03:07:58.5003002Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-10-10T03:07:58.5058685Z http.https://github.com/.extraheader 2025-10-10T03:07:58.5113179Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-10-10T03:07:58.5164919Z http.https://github.com/.extraheader 2025-10-10T03:07:58.5217867Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-10-10T03:07:58.5269135Z http.https://github.com/.extraheader 2025-10-10T03:07:58.5320135Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-10-10T03:07:58.5372918Z http.https://github.com/.extraheader 2025-10-10T03:07:58.5423788Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-10-10T03:07:58.5474927Z http.https://github.com/.extraheader 2025-10-10T03:07:58.5529033Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-10-10T03:07:58.5580250Z http.https://github.com/.extraheader 2025-10-10T03:07:58.5642259Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-10-10T03:07:58.5693053Z http.https://github.com/.extraheader 2025-10-10T03:07:58.5746002Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-10-10T03:07:58.5797929Z http.https://github.com/.extraheader 2025-10-10T03:07:58.5851530Z Entering 'third_party/kleidiai' 2025-10-10T03:07:58.5906916Z http.https://github.com/.extraheader 2025-10-10T03:07:58.5958060Z Entering 'third_party/mimalloc' 2025-10-10T03:07:58.6011350Z http.https://github.com/.extraheader 2025-10-10T03:07:58.6064190Z Entering 'third_party/nlohmann' 2025-10-10T03:07:58.6117287Z http.https://github.com/.extraheader 2025-10-10T03:07:58.6169004Z Entering 'third_party/onnx' 2025-10-10T03:07:58.6223193Z http.https://github.com/.extraheader 2025-10-10T03:07:58.6290935Z Entering 'third_party/onnx/third_party/pybind11' 2025-10-10T03:07:58.6341607Z http.https://github.com/.extraheader 2025-10-10T03:07:58.6399122Z Entering 'third_party/opentelemetry-cpp' 2025-10-10T03:07:58.6457071Z http.https://github.com/.extraheader 2025-10-10T03:07:58.6509203Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-10-10T03:07:58.6561134Z http.https://github.com/.extraheader 2025-10-10T03:07:58.6612596Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-10-10T03:07:58.6662794Z http.https://github.com/.extraheader 2025-10-10T03:07:58.6713848Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-10-10T03:07:58.6769067Z http.https://github.com/.extraheader 2025-10-10T03:07:58.6818803Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-10-10T03:07:58.6870040Z http.https://github.com/.extraheader 2025-10-10T03:07:58.6922570Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-10-10T03:07:58.6973196Z http.https://github.com/.extraheader 2025-10-10T03:07:58.7023756Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-10-10T03:07:58.7074141Z http.https://github.com/.extraheader 2025-10-10T03:07:58.7122478Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-10-10T03:07:58.7173463Z http.https://github.com/.extraheader 2025-10-10T03:07:58.7220866Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-10-10T03:07:58.7272067Z http.https://github.com/.extraheader 2025-10-10T03:07:58.7323763Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-10-10T03:07:58.7374948Z http.https://github.com/.extraheader 2025-10-10T03:07:58.7432907Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-10-10T03:07:58.7488974Z http.https://github.com/.extraheader 2025-10-10T03:07:58.7564399Z Entering 'third_party/pocketfft' 2025-10-10T03:07:58.7621340Z http.https://github.com/.extraheader 2025-10-10T03:07:58.7670529Z Entering 'third_party/protobuf' 2025-10-10T03:07:58.7723960Z http.https://github.com/.extraheader 2025-10-10T03:07:58.7779103Z Entering 'third_party/protobuf/third_party/benchmark' 2025-10-10T03:07:58.7830705Z http.https://github.com/.extraheader 2025-10-10T03:07:58.7880020Z Entering 'third_party/protobuf/third_party/googletest' 2025-10-10T03:07:58.7931145Z http.https://github.com/.extraheader 2025-10-10T03:07:58.7986084Z Entering 'third_party/psimd' 2025-10-10T03:07:58.8039764Z http.https://github.com/.extraheader 2025-10-10T03:07:58.8090279Z Entering 'third_party/pthreadpool' 2025-10-10T03:07:58.8142912Z http.https://github.com/.extraheader 2025-10-10T03:07:58.8192781Z Entering 'third_party/pybind11' 2025-10-10T03:07:58.8244912Z http.https://github.com/.extraheader 2025-10-10T03:07:58.8295466Z Entering 'third_party/python-peachpy' 2025-10-10T03:07:58.8350044Z http.https://github.com/.extraheader 2025-10-10T03:07:58.8399119Z Entering 'third_party/sleef' 2025-10-10T03:07:58.8454171Z http.https://github.com/.extraheader 2025-10-10T03:07:58.8504405Z Entering 'third_party/tensorpipe' 2025-10-10T03:07:58.8555791Z http.https://github.com/.extraheader 2025-10-10T03:07:58.8604848Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-10-10T03:07:58.8659625Z http.https://github.com/.extraheader 2025-10-10T03:07:58.8709333Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-10-10T03:07:58.8760701Z http.https://github.com/.extraheader 2025-10-10T03:07:58.8811404Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-10-10T03:07:58.8861772Z http.https://github.com/.extraheader 2025-10-10T03:07:58.8911369Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-10-10T03:07:58.8961269Z http.https://github.com/.extraheader 2025-10-10T03:07:58.9008764Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-10-10T03:07:58.9060221Z http.https://github.com/.extraheader 2025-10-10T03:07:58.9234727Z A job completed hook has been configured by the self-hosted runner administrator 2025-10-10T03:07:58.9266062Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-10-10T03:07:58.9275400Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-10-10T03:07:58.9275781Z ##[endgroup] 2025-10-10T03:08:06.9656730Z Cleaning up orphan processes